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Mental healthcare access among resettled Syrian refugees in Leipzig, Germany

Published online by Cambridge University Press:  06 February 2024

Samantha F. Schoenberger
Affiliation:
Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK
Kim Schönenberg
Affiliation:
Department of Medical Psychology and Medical Sociology, University of Leipzig, Leipzig, Germany
Daniela C. Fuhr
Affiliation:
Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK Research Group Implementation Research and Mental Health, Leibniz Institute of Prevention Research and Epidemiology, Bremen, Germany Health Sciences, University of Bremen, Bremen, Germany
Yuriy Nesterko
Affiliation:
Department of Medical Psychology and Medical Sociology, University of Leipzig, Leipzig, Germany Research Department, Center ÜBERLEBEN, Berlin, Germany
Heide Glaesmer
Affiliation:
Department of Medical Psychology and Medical Sociology, University of Leipzig, Leipzig, Germany
Egbert Sondorp
Affiliation:
Department of Global Health, KIT Royal Tropical Institute, Amsterdam, the Netherlands
Aniek Woodward
Affiliation:
Department of Global Health, KIT Royal Tropical Institute, Amsterdam, the Netherlands
Marit Sijbrandij
Affiliation:
Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
Pim Cuijpers
Affiliation:
Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
Alessandro Massazza
Affiliation:
Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK
Martin McKee
Affiliation:
Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK
Bayard Roberts*
Affiliation:
Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK
*
Corresponding author: Bayard Roberts; Email: Bayard.roberts@lshtm.ac.uk
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Abstract

Our aim was to examine mental health needs and access to mental healthcare services among Syrian refugees in the city of Leipzig, Germany. We conducted a cross-sectional survey with Syrian refugee adults in Leipzig, Germany in 2021/2022. Outcomes included PTSD (PCL-5), depression (PHQ-9), anxiety (GAD-7) and somatic symptom (SSS-8). Descriptive, regression and effect modification analyses assessed associations between selected predictor variables and mental health service access. The sampling strategy means findings are applicable only to Syrian refugees in Leipzig. Of the 513 respondents, 18.3% had moderate/severe anxiety symptoms, 28.7% had moderate/severe depression symptoms, and 25.3% had PTSD symptoms. A total of 52.8% reported past year mental health problems, and 48.9% of those participants sought care for these problems. The most common reasons for not accessing mental healthcare services were wanting to handle the problem themselves and uncertainty about where to access services. Adjusted Poisson regression models (n = 259) found significant associations between current mental health symptoms and mental healthcare service access (RR: 1.47, 95% CI: 1.02–2.15, p = 0.041) but significance levels were not reached between somatization and trust in physicians with mental healthcare service access. Syrian refugees in Leipzig likely experience high unmet mental health needs. Community-based interventions for refugee mental health and de-stigmatization activities are needed to address these unmet needs in Leipzig.

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This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
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© London School of Hygiene and Tropical Medicine, 2024. Published by Cambridge University Press

Impact statement

Our study with Syrian refugees in Leipzig, Germany showed a high burden of mental health distress and commonly reported exposure to traumatic events and discrimination. Around half of respondents self-reported having a mental health or emotional problem but had not sought any sources of care or support. Key barriers to accessing support were not knowing where to seek care, concern about language barriers with health care barriers, stigma around mental health, and fear of discrimination. For those who did seek some kind of care, members of their community were the first source of support. These findings provide new evidence supporting the need for community-based mental health and psychosocial support services for Syrian refugees in Leipzig. However, such services remain limited in Leipzig and there is a need for different types of services that may be more relevant, accessible, and scalable for Syrian refugees. This strengthens arguments for task-shifting of mental health services from licensed providers to trained lay health care providers from within Syrian refugee communities in Leipzig. We also observed high levels of somatization. This suggests that health professionals treating refugee populations in Leipzig could benefit from training on the ways that mental distress can manifest physically, and ways to educate patients about these manifestations. Community-level activities could also be conducted to raise awareness of the ways that trauma and mental distress can be physically felt and manifested. In summary, the study findings reiterate the need for improved access to mental health and psychosocial support for the Syrian refugee community in Leipzig.

Introduction

Refugees are at increased risk of mental ill health as they are exposed to adverse situations before, during, and after displacement and arrival to host countries (Miller and Rasmussen, Reference Miller and Rasmussen2016; Blackmore et al., Reference Blackmore, Boyle, Fazel, Ranasinha, Gray, Fitzgerald, Misso and Gibson-Helm2020). These include forced displacement, violence, unsafe transport, the ongoing stress of insecure housing, unemployment or precarious employment, poverty, food insecurity, discrimination, isolation and loss of social support. Research undertaken in countries receiving Syrian refugees places mental health among their most pressing needs (El Arnaout et al., Reference El Arnaout, Rutherford, Zreik, Nabulsi, Yassin and Saleh2019), yet refugees consistently face barriers to obtaining mental healthcare, due to difficulty navigating health systems after resettlement, the stigma associated with mental illness, language skills, and low levels of trust in physicians and formal care systems (Cheng et al., Reference Cheng, Drillich and Schattner2015; Kotovicz et al., Reference Kotovicz, Getzin and Vo2018; Satinsky et al., Reference Satinsky, Fuhr, Woodward, Sondorp and Roberts2019; Hendrickx et al., Reference Hendrickx, Woodward, Fuhr, Sondorp and Roberts2020; van der Boor and White, Reference van der Boor and White2020).

Germany hosts 1.2 million refugees, including the largest group of Syrian asylum seekers in Europe, first arriving in large numbers in 2011. These Syrian refugees were resettled in every German state, in numbers proportional to state population size. The number of Syrians in Leipzig (the location of our study), grew from 687 in 2012 to 10,709 in 2021 to become the largest single group of migrants in the city (ASW (Leipzig), 2022). By 2020, approximately 97% of Syrians lived in residential accommodation, with 3% in refugee facilities. The German Asylum Seekers’ Benefits Act (“Asylbewerberleistungsgesetz”) provides basic support for food, housing, clothing and healthcare to those awaiting legal confirmation of refugee status, including subsidies for residential accommodation after 18 months of residence. Once they receive this confirmation, they qualify for the social benefits available to the rest of the German population and can enter the job market, while they must also pledge to participate in integration and language classes. Nevertheless, Syrians in Leipzig still experience high levels of poverty. The average net equivalent income in the Syrian population in Leipzig in 2020 was 800€ per household, around half the income compared to the German general population in Leipzig. A total of 63% of Syrians in Leipzig were at risk of poverty (compared to 16% in the German general population in Leipzig) and 26% were unemployed (compared to 4% in the German general population) in 2020 (Stadt Leipzig, 2020).

Although the Asylum Seekers’ Benefits Act entitles asylum seekers to basic healthcare, this is primarily to enable them to access healthcare for acute medical conditions (Hyde, Reference Hyde2016; Ossege and Köhler, Reference Ossege and Köhler2016). Usually, full access is granted 18 months after arrival in Germany. However, some federal states in Germany, but not Saxony where this study was conducted, provide a health insurance card conferring full healthcare access on arrival in Germany.

Refugees without a health insurance card can only access mental healthcare services beyond acute crisis interventions on a case-by-case basis following approval by the regional council or social welfare office of any referrals to an outpatient physician, including psychiatrists or counselors (Offe et al., Reference Offe, Dieterich, Bozorgmehr and Trabert2018; Nikendei et al., Reference Nikendei, Kindermann, Junne and Greinacher2019). This risks late diagnosis of mental disorders for those unfamiliar with the system, which can exacerbate symptom severity and functional impairment (Bauhoff and Göpffarth, Reference Bauhoff and Göpffarth2018). Mental health care services established specifically for refugees are administered through Psychosocial Care Centers for Refugees and Torture Survivors, with services including psychosocial counseling, psychotherapy, mental health assessment, medical documentation of torture, legal and social support while undergoing the asylum procedure, and other services such as assistance in finding appropriate housing. However, demand for these services far exceeds capacity, and the average waiting time for admission is over 6 months, with many potential clients rejected entirely (Mohammed and Karato, Reference Mohammed and Karato2022). Once they are granted asylum, refugees are entitled to the same health services available to German citizens (Elsouhag et al., Reference Elsouhag, Arnetz, Jamil, Lumley, Broadbridge and Arnetz2015; Horlings and Hein, Reference Horlings and Hein2018), but interpretation services are not covered (Ossege and Köhler, Reference Ossege and Köhler2016).

There is a high burden of mental health needs among Syrian refugees in Germany. While the prevalence of mental health symptoms can vary substantially, depending on the population concerned and the instruments used, surveys among refugees typically report that 35–53.3% experience anxiety, 21.7–57.1% depression, and 13–34.9% PTSD (Führer et al., Reference Führer, Eichner and Stang2016; Georgiadou et al., Reference Georgiadou, Morawa and Erim2017; Biddle et al., Reference Biddle, Menold, Bentner, Nöst, Jahn, Ziegler and Bozorgmehr2019; Nesterko et al., Reference Nesterko, Jäckle, Friedrich, Holzapfel and Glaesmer2020a). High rates of somatic distress have also been reported among Syrian refugees in Germany, with implications for healthcare providers in recognizing the mental health needs underlying these reported physical symptoms (Nesterko et al., Reference Nesterko, Jäckle, Friedrich, Holzapfel and Glaesmer2020b; Renner et al., Reference Renner, Hoffmann, Nagl, Roehr, Jung, Grochtdreis, König, Riedel-Heller and Kersting2020; Zbidat et al., Reference Zbidat, Georgiadou, Borho, Erim and Morawa2020; Borho et al., Reference Borho, Morawa, Schmitt and Erim2021). However, research into the facilitators and barriers for Syrian refugees accessing mental health services in Germany remains quite limited, including the predictors of mental healthcare access (Nesterko et al., Reference Nesterko, Jäckle, Friedrich, Holzapfel and Glaesmer2020a; Zbidat et al., Reference Zbidat, Georgiadou, Borho, Erim and Morawa2020).

Our study involved adult Syrian refugees from the city of Leipzig in the State of Saxony, in eastern Germany, and was in response to a need expressed by stakeholders for more evidence on the mental health burden and patterns of access to mental health services among this population. The aim of our study was to assess the mental health needs of Syrian refugees in Leipzig, Germany, and their access to mental healthcare services. Our specific objectives were to: (1) describe the prevalence of symptoms of key mental disorders; (2) examine levels of mental health care access and barriers to care; (3) determine predictors of mental health care access by Syrian refugees and (4) understand how access is modified by the effect of current mental health symptomology on care-seeking behavior.

Methods

We collected data as part of the Syrian REfuGees MeNTal HealTH Care Systems (STRENGTHS) research consortium, which implemented and evaluated scalable psychological interventions for Syrian refugees in Europe and the Middle East (Sijbrandij et al., Reference Sijbrandij, Acarturk, Bird, Bryant, Burchert, Carswell, de Jong, Dinesen, Dawson, El Chammay, van Ittersum, Jordans, Knaevelsrud, McDaid, Miller, Morina, Park, Roberts, van Son, Sondorp, Pfaltz, Ruttenberg, Schick, Schnyder, van Ommeren, Ventevogel, Weissbecker, Weitz, Wiedemann, Whitney and Cuijpers2017; Graaff et al., Reference Graaff, Cuijpers, Acarturk, Akhtar, Alkneme, Aoun, Awwad, Bawaneh, Brown, Bryant, Burchert, Carswell, Drogendijk, Engels, Fuhr, Hansen, Hof, Giardinelli, Hemmo, Hessling, Ilkkursun, Jordans, Kiselev, Knaevelsrud, Kurt, Martinmäki, McDaid, Morina, Naser, Park, Pfaltz, Roberts, Schick, Schnyder, Spaaij, Steen, Taha, Uygun, Ventevogel, Whitney, Witteveen and Sijbrandij2022).

Study design, population and sampling

We conducted a cross-sectional postal survey between September 2021 and March 2022. We had intended to conduct it face-to-face but had to send it by post due to the COVID-19 pandemic. Our sampling frame was an official list of all adult Syrian migrants (aged +18 years) registered with the Leipzig municipality. The target sample size was n = 500 (see Supplementary Material 1 for sample size calculation). We had to use two waves of sampling to achieve this number. The first wave of 3,001 survey invitations was dispatched on September 6, 2021, with adverts also placed on public transport and in locations used by the Syrian community (such as supermarkets and cultural centers) to encourage uptake by those that had received the postal survey. To try and gather representative data in the first wave, the sampling frame was stratified by age, gender, and postcode. As we did not achieve the desired sample size in the first wave (including after reminders were sent after 6 weeks), a second booster wave of invitations was sent to a further 2,861 people on January 20, 2022 (with reminders sent after 6 weeks). Taking waves 1 and 2 together, all Syrian adults registered in the sampling frame were contacted. In the first wave, there was a 14.2% initial response rate, and the second wave had a 9.36% initial response rate (the average initial response rate across the two waves was 11.9%). The final response rate was 9.6% (n = 513) for those who provided written consent and participated in the survey. Details of ethics procedures are provided at the end of the manuscript.

Survey questionnaire

We developed a questionnaire covering the following domains: (i) sociodemographic characteristics (age, sex, educational level, marital status, parenthood, household economic situation, employment status; (ii) migration characteristics and levels of integration into German society (arrival date in Leipzig, integration into Germany, experience of discrimination, and German language skill using a single item self-reported measure worded as “In your opinion, how well are your German language skills?” with the response option a range from 0 to 10 and then categorized in four categories from none to excellent (El Khoury, Reference El Khoury2019); (iii) general health status; (iv) exposure to traumatic events using the DSM-5 Life Events Checklist (LEC-5); (v) trust in physicians using the Wake Forest Trust in Physicians Scale; (vi) access to mental health care using a self-reported “yes/no” response to the question “In the past year, have you sought care for feelings such as anxiety, nervousness, being restless, tiredness, difficulty with sleeping or any other emotional or behavioral problems?”; and then reasons for not seeking health care; and (vii) mental health status. Mental health status was assessed using the Patient Health Questionnaire-9 (PHQ-9) for moderate/severe depression in the past 2 weeks (PHQ-9 score ≥10), the Generalized Anxiety Disorder Scale (GAD-7) for moderate/severe anxiety in the past 2 weeks (GAD-7 score ≥10), and the Posttraumatic Stress Disorder Checklist for DSM-5 (PCL-5) for PTSD in the past 4 weeks (PCL-5 score ≥33). We also produced a summary binary mental health symptomology variable with participants who scored “moderate/severe depression symptoms,” and/or “PTSD symptoms,” and/or “moderate/severe anxiety symptoms.” Other health outcome measures included the Somatic Symptom Scale-8 (SSS-8) (past 7 days). Further details on the measures are in Supplementary Material 2. All study materials were translated from English to Arabic and German and independently back-translated and then piloted following standard procedures. Arabic versions of the PHQ-9, GAD-7, SSS-8, LEC-5, and PCL-5 have previously been validated, including with Syrian refugees in other settings (Fuhr et al., Reference Fuhr, Acarturk, McGrath, Ilkkursun, Sondorp, Sijbrandij, Ventevogel, Cuijpers, McKee and Roberts2020).

Data analysis

To examine factors associated with access to mental health services, we focused on three predictor variables: (a) the summary measure of current mental health symptoms (see above); (b) current somatization (measured by the SSS-8); and (c) “trust in physicians” (Wake Forest Trust in Physicians Scale). Current mental health symptoms were chosen as a potential predictor because of their relevance to psychosocial intervention development. If regression analyses find that this is not a predictor of mental healthcare service access, mental health actors may need to consider how to better engage those in distress than current strategies. Current somatization was selected based on previous research into cross-cultural differences in the manifestation of mental ill health and the suggestion that Syrian populations may not seek support until ill health manifests in the form of physical distress (Nesterko et al., Reference Nesterko, Jäckle, Friedrich, Holzapfel and Glaesmer2020a; Renner et al., Reference Renner, Hoffmann, Nagl, Roehr, Jung, Grochtdreis, König, Riedel-Heller and Kersting2020; Zbidat et al., Reference Zbidat, Georgiadou, Borho, Erim and Morawa2020; Borho et al., Reference Borho, Morawa, Schmitt and Erim2021). Trust in physicians was selected because of its influence on mental health care-seeking behavior (Cheng et al., Reference Cheng, Drillich and Schattner2015; Kotovicz et al., Reference Kotovicz, Getzin and Vo2018).

In our initial exploration of the survey data, we observed that the outcome variable (mental health service access) did not follow a normal distribution, thus generalized linear models were used in which response variables follow distributions that are not normal. Led by previous conventions for fitting Poisson regression models for skewed binary outcome variables, a series of three Poisson models were built to assess associations between each predictor (recent mental health symptoms, somatization, and trust in physicians) and the outcome of interest (access to mental healthcare services). First, a crude baseline model was created using each predictor variable using Fisher’s for categorical variables and Chi-square for binary variables. This analysis did not find significant associations between gender, marital status, or employment status and access to mental healthcare services, and so these variables were excluded. Generalized linear Poisson regression models were used separately for each predictor. We then built a list of a priori and hypothesized confounding variables for each model, based on initial testing of bivariate associations between predictor and outcome variables, previous empirical research, and our judgment. We identified important confounders in the final adjusted model by comparing the crude and adjusted risk ratio (RR) with and without each variable in the expanded and nested regression models. Given the constraints of the sample size, we included only those two or three confounders that most changed the RR in the final model. Final models were compared with unadjusted models using Akaike information criterion (AIC) calculations and assessed for equidispersion (variance=mean assumption of Poisson regression models) (Zou, Reference Zou2004; Armstrong-Hough et al., Reference Armstrong-Hough, Kishore, Byakika, Mutungi, Nunez-Smith and Schwartz2018). To test for the presence of effect modification, we conducted a stratified analysis for levels of third variables of interest. We calculated contingency tables using the epiR statistical package to compare Odds Ratios (ORs) between levels of third variables in the association between mental health symptoms and access to mental healthcare. We used the R statistical package (R version 4.2.1). Significance in all analyses was determined at p ≤ 0.05. For descriptive data analysis, missing data were removed. For regression and effect modification analyses, a single imputation was used to ascribe a range of sample means for numeric variables when data were missing for items on the somatization and trust in physicians scales (if they also had complete data for the outcome variable). The reliability and validity of all scales used in regression and effect modification models were assessed using Cronbach’s α (α > 0.80 “good,” α > 0.70 “acceptable”).

Results

Table 1 shows the demographics and clinical characteristics of sample participants (n = 513). Most were male (61.0%), under 45 years old (76.8%), reported their economic situation as average (58.8%), and had attained a post-secondary education (51.4%). Just over one-third of the sample was employed (39.7%), six in 10 were married (60.7%) and had children (58.4%). While just over half of the sample had arrived in Leipzig in the last 5 years (54.8%), nearly all reported possessing a health insurance card (96.6%) which gives them full access to all health care services, and about half of the sample self-reported “good” or “excellent” German language proficiency (46.3%). Reported experiences of discrimination varied widely across settings, with 73.7% reporting it within the housing market, 70.2% in public places, and around 50% reporting it at school or work (51.9%), by authority (53.7%) and when applying for jobs (54.5%). Around one-third of participants (31.0%) reported discrimination in the healthcare system. Experience of trauma during conflict and displacement was common. Nearly two-thirds of participants (64.2%) had witnessed and/or experienced a fire or explosion and nearly 60% of the sample reported witnessing and/or experiencing severe human suffering (59.4%) and combat or exposure to a warzone (58.9%). In addition, 10.9% indicated experiencing and/or witnessing sexual assault and 30.4% reported witnessing sudden violent death (Table 2).

Table 1. Demographics and clinical characteristics, by sex (n = 513) a

a Totals per item reflect the number of participants with complete data. In some cases, this was less than n = 513.

b Integration was assessed with the following question: “How integrated do you feel in Germany?” with a sliding 0–100 scale.

c Calculated with the SSS-8 using a cut-off score of >11.

d Calculated with the PHQ-9 using a cut-off score of >10.

e Calculated with the GAD-7 using the following cut-off scores: “≥5 mild,” “≥10 moderate” and “≥15 severe.”

f Calculated with the PCL-5 using a cut-off score of ≥33.

Table 2. Traumatic events experienced and/or witnessed (N = 513)

Note: Items from the LEC-5.

a N for each question is as follows: 487, 483, 487, 482, 484, 484, 450, 485, 484, 487, 484, 484, 473, 439, 438, 485 and 479.

b This is a standard item included in LEC-5, and further information is not available on the nature of these events/experiences.

Turning to mental health outcomes, 28.7% of participants reported depression symptoms, 18.3% reported moderate or severe anxiety symptoms, and 25.3% reported PTSD symptoms. A total of 60% of participants met the criteria for mental health symptomology using the combined summary measure. In total, 25.3% reported somatization.

Figure 1 shows the cascade of healthcare-seeking behavior by participants. Among the total sample of 513, 271 (52.8%) reported experiencing anxiety, nervousness, restlessness, tiredness, difficulty sleeping and emotional or behavioral problems. Of them, 132 (48.9%) had sought care for mental health care concerns while 138 (51.1%) had not sought care. Among those who sought care, family and friends were the most common resource sought (n = 47), followed by a family physician or GP (n = 38) and a private mental health specialist (n = 31). Among those who did not seek or receive care (N = 138), the most common reasons were that they wanted to handle the problem on their own (n = 123), were unsure about where to go or who to see (n = 88), or the problem did not bother them too much (n = 88). Seventy-five participants expressed concern that providers would not understand their mental health needs due to the language barrier.

Figure 1. Flowchart of mental healthcare-seeking behavior (N = 513).

A total of 429 participants responded to the question about where people in their community first seek mental health care (Table 3). Among them, 40.3% identified family and friends as the first point of contact for people in their community, followed by family physicians (n = 141; 32.9%), and private mental health specialists (n = 118; 27.5%). Sixty-six participants (15.4%) did not know of any available mental health services in their area.

Table 3. Participant responses to “Where do people in your community first go to seek services for mental illness?” (n = 429 a)

Note: Multiple responses allowed.

a n = 84 “NA” responses removed.

In the regression analyses, of the 271 participants who reported mental health distress in the past year, regression models were built for participants with complete data for predictor and outcome variables (including those with calculated single imputation) (Table 4). Inclusion of age and household economic situation both led to a difference in the adjusted and unadjusted RRs for the exposure variables of mental health concerns in the past month and trust in physicians with the outcome of interest (accessing mental health services), suggesting the presence of confounding (see Supplementary Material 3). Experience of current mental health symptoms increased the likelihood of accessing mental health services by almost half RR = 1.47 (95% CI: 1.02–2.15, P = 0.041) in the adjusted Poisson model (age and household economic situation adjusted). There was no evidence of overdispersion. When compared to the crude model, the adjusted model improved AIC by 18.68 (433.81 vs. 415.13), indicating improved fit.

Table 4. Adjusted and unadjusted Poisson regression models assessing associations between predictors (current mental health condition, trust in physicians, somatization) and outcome variable (mental healthcare service access)

a Adjusted model (age and household economic status) n = 244.

b Adjusted model (education and household economic status) n = 244.

c Adjusted model (age, household economic situation and arrival in Leipzig) n = 240.

We asked whether participants who had greater than average trust in physicians (>25.22 for the current sample) had an increased likelihood of accessing mental health services. Including household economic situation and education both changed the RR in our crude model, again suggesting the presence of confounding. In the Poisson model that adjusted for these two variables, the RR was a nonsignificant 0.94 (95% CI: 0.65–1.36, P = 0.733), with no evidence for overdispersion. When compared to the crude model, the adjusted model improved AIC by 35.5 (438.99 vs. 403.49), suggesting improved fit.

Looking at somatization, adjustment for age, household economic situation, and time since arrival in Leipzig all changed the RR, suggesting the presence of confounding. In the Poisson model that adjusted for these variables, the RR for mental healthcare access in those describing somatization was 1.44 (95% CI: 0.99–2.10, P = 0.055), and so not reaching statistical significance. Dispersion testing found no evidence of overdispersion. Effect modification was assessed in stratified analyses, but no significant results were found (see Supplementary Material 4).

Discussion

Our study of mental health symptoms and access to services showed that among this sample of Syrian refugees in Leipzig, participants had a high burden of mental health distress and commonly reported exposure to traumatic events and discrimination. Approximately half of respondents self-reported having a mental health or emotional problem but had not sought any sources of care or support. Mental health symptoms predicted access to mental health services. The sampling strategy means the following discussion of these findings is applicable only to Syrian refugees in Leipzig and caution should also be noted given the low response rate.

The Syrian adults in this sample reported a high burden of depression, anxiety, and PTSD symptoms, consistent with previous studies of Syrian refugee populations in other resettlement countries (Tinghög et al., Reference Tinghög, Malm, Arwidson, Sigvardsdotter, Lundin and Saboonchi2017; Acarturk et al., Reference Acarturk, Cetinkaya, Senay, Gulen, Aker and Hinton2018; Hendrickx et al., Reference Hendrickx, Woodward, Fuhr, Sondorp and Roberts2020; Acarturk et al., Reference Acarturk, McGrath, Roberts, Ilkkursun, Cuijpers, Sijbrandij, Sondorp, Ventevogel, McKee and Fuhr2021). While it is not possible to make direct comparisons between these rates and those reported in our study sample, our findings do support previous evidence of a higher burden of psychological distress among populations that have experienced displacement compared to the general public in Germany (Blackmore et al., Reference Blackmore, Boyle, Fazel, Ranasinha, Gray, Fitzgerald, Misso and Gibson-Helm2020).

The study showed high levels of somatic distress among the survey respondents. A study of Syrian refugees in Istanbul reported over 40% of respondents experienced moderate or severe somatization (McGrath et al., Reference McGrath, Acarturk, Roberts, Ilkkursun, Sondorp, Sijbrandij, Cuijpers, Ventevogel, McKee and Fuhr2020). Studies report that in Syrian culture psychological distress and trauma are expressed through physical concerns such as aches, fatigue and stomach cramps (Hassan et al., Reference Hassan, Kirmayer, Mekki-Berrada, Quosh, El Chammay, Deville-Stoetzel, Youssef, Jefee-Bahloul, Barkeel-Oteo and Coutts2015). Mental health concerns can be highly stigmatized in Arab cultures and seen as a weakness of character (Fakhr El-Islam, Reference Fakhr El-Islam2008), with physical distress considered more legitimate and worthy of care-seeking (Okasha, Reference Okasha and Leigh2019). Such findings also reflect mental health difficulties among other groups of refugees and migrants from countries where mental health literacy is relatively limited. Physicians and medical professionals treating refugee populations should receive training on somatization and the ways that mental distress can manifest physically, and ways to educate patients about these manifestations. At the community level, similar education should be developed to illustrate the myriad ways that trauma and stress can be embodied (Langlois et al., Reference Langlois, Haines, Tomson and Ghaffar2016). Incorporating explanatory models of mental illness into treatment provision can help strengthen care plans (Hassan et al., Reference Hassan, Kirmayer, Mekki-Berrada, Quosh, El Chammay, Deville-Stoetzel, Youssef, Jefee-Bahloul, Barkeel-Oteo and Coutts2015). However, it should also be recognized that somatic symptoms as measured in the study could also have been directly caused by traumatic events experienced by respondents and so might not be related to mental health problems (e.g., experiencing of toxic substances, illness, sexual assault and accidents could cause back pain, headache, pain in arms/legs without being related to mental health).

About half of the study participants self-reported some kind of mental health or emotional problem, and that they had not sought or received any care for it. The rates of mental healthcare access reported in the current study are higher than those reported in a previous study of refugees in Germany (Schlechter et al., Reference Schlechter, Kamp, Wanninger, Knausenberger, Wagner, Wilkinson, Nohr and Hellmann2021). They are also higher than rates reported by Syrian refugees resettled in other countries (Satinsky et al., Reference Satinsky, Fuhr, Woodward, Sondorp and Roberts2019; Hendrickx et al., Reference Hendrickx, Woodward, Fuhr, Sondorp and Roberts2020). Caution is required when comparing rates across these samples, as variation across studies likely reflects differences in methodology and measurement, including the measurement of mental healthcare needs and what service types are considered in the “mental healthcare service” construct. For example, some studies may count family and friends as a source of mental healthcare (Bhui et al., Reference Bhui, Mohamud, Warfa, Curtis, Stansfeld and Craig2012; Fuhr et al., Reference Fuhr, Acarturk, McGrath, Ilkkursun, Sondorp, Sijbrandij, Ventevogel, Cuijpers, McKee and Roberts2020), while others only include encounters with health professionals. Thus, the higher rate reported in this study may be because participants identified family and friends as their first source of mental health support, while other studies might not consider these as a mental health care support.

We found that Syrian refugees experiencing mental health symptoms overwhelmingly identified family and friends as the first place to go when faced with mental illness. This is consistent with previous research finding that fellow refugees can provide a buffering effect against mental ill health and promote positive coping strategies (Khan and Hasan, Reference Khan and Hasan2016; Alfadhli and Drury, Reference Alfadhli and Drury2018; Hanley et al., Reference Hanley, Mhamied, Cleveland, Hajjar, Hassan, Ives, Khyar and Hynie2018; Liamputtong and Kurban, Reference Liamputtong and Kurban2018).

There were 123 respondents with mental health symptoms who preferred to handle problems themselves. This is a frequently cited reason in the mental health service literature for not seeking help, including with refugees (Mojtabai et al., Reference Mojtabai, Evans-Lacko, Schomerus and Thornicroft2016; Fuhr et al., Reference Fuhr, Acarturk, McGrath, Ilkkursun, Sondorp, Sijbrandij, Ventevogel, Cuijpers, McKee and Roberts2020). Potential explanations may be that they prefer other sources of support, such as religious services. It may also reflect lower mental health literacy, mental health stigma, lower trust in mental health services, and prioritizing other needs (e.g., work, other health issues). Eighty-eight persons with mental health symptoms reported not being bothered very much, and this could potentially be attributed to diagnostic measures not being perfect. It could also be that they may have problems, but they do not experience or feel them as such. They may also feel that any problems will recede naturally. It could also reflect low mental health literacy (Mojtabai et al., Reference Mojtabai, Evans-Lacko, Schomerus and Thornicroft2016).

Refugees participating in our study also reported not knowing where to go to seek mental health support in Leipzig and a fear that providers would not understand their needs because of language barriers. This is a reminder of the need for linguistic and cultural adaptation to the needs of Syrian refugees engaging with the healthcare system in Leipzig. However, research suggests such services are often unavailable (Böttche et al., Reference Böttche, Stammel and Knaevelsrud2016), and there is a need for different types of services that may be more relevant, accessible and scalable (Sijbrandij et al., Reference Sijbrandij, Acarturk, Bird, Bryant, Burchert, Carswell, de Jong, Dinesen, Dawson, El Chammay, van Ittersum, Jordans, Knaevelsrud, McDaid, Miller, Morina, Park, Roberts, van Son, Sondorp, Pfaltz, Ruttenberg, Schick, Schnyder, van Ommeren, Ventevogel, Weissbecker, Weitz, Wiedemann, Whitney and Cuijpers2017). For example, there is evidence to support task-shifting of scalable mental health services from licensed providers to lay health care providers who are trained to deliver counseling and psychoeducation (but not psychotherapy per se) within their communities, including for refugees, and this may be an important means of increasing access to mental healthcare (Bryant et al., Reference Bryant, Bawaneh, Awwad, Al-Hayek, Giardinelli, Whitney, Jordans, Cuijpers, Sijbrandij, Ventevogel, Dawson and Akhtar2022; de Graaff et al., Reference de Graaff, Cuijpers, Twisk, Kieft, Hunaidy, Elsawy, Gorgis, Bouman, Lommen, Acarturk, Bryant, Burchert, Dawson, Fuhr, Hansen, Jordans, Knaevelsrud, McDaid, Morina, Moergeli, Park, Roberts, Ventevogel, Wiedemann, Woodward, Sijbrandij, Consortium and Consortium2023; Schafer et al., Reference Schafer, Thomas, Lindner and Lieb2023). In addition, health workers need to be trained in providing culturally relevant services, and when services are not available in a patient’s preferred language, interpretation resources are provided (Woodward et al., Reference Woodward, Fuhr, Barry, Balabanova, Sondorp, Dieleman, Pratley, Schoenberger, McKee, Ilkkursun, Acarturk, Burchert, Knaevelsrud, Brown, Steen, Spaaij, Morina, de Graaff, Sijbrandij, Cuijpers and Roberts2023). A survey found that over half of German healthcare professionals reported needing better training in PTSD and other mental health issues for their work with refugees (Nijman et al., Reference Nijman, Krone, Mintegi, Bidlingmaier, Maconochie, Lyttle and von Both2021). Given that general practitioners were cited as a common source of support for mental health concerns, there is a need to provide training for German health workers about the mental health needs of refugees and how they can help patients navigate these services. As for specialists, while German psychotherapists report a willingness to treat refugees, they have previously reported concerns about the unavailability of translators, differing expectations of psychotherapeutic services, and communication barriers (Asfaw et al., Reference Asfaw, Beiersmann, Keck, Nikendei, Benson-Martin, Schütt and Lohmann2020). Studies have also documented significant waiting periods for specialist mental healthcare services and the challenges faced by refugees trying to navigate the health system (Mewes et al., Reference Mewes, Kowarsch, Reinacher and Nater2016).

The Syrian refugees in this sample reported experiencing widespread discrimination in Leipzig, as seen in other studies among refugee populations in Germany (Viazminsky et al., Reference Viazminsky, Borho, Morawa, Schmitt and Erim2022). Discrimination is now recognized as a determinant of a range of health-related outcomes, including impaired acculturation and poor mental health (Borho et al., Reference Borho, Viazminsky, Morawa, Schmitt, Georgiadou and Erim2020; Şafak-Ayvazoğlu et al., Reference Şafak-Ayvazoğlu, Kunuroglu and Yağmur2021). This supports the need for programs that not only target individual psychological distress but also refugee community awareness programs that consider stigma, and also sensitization in wider Leipzig society to refugee mental health concerns. Prioritizing programs addressing professionals in health care, education, and the asylum administration would be a reasonable step due to their contact with refugee populations.

That over one-in-ten adults reported sexual assault and/or had another unwanted sexual experience is consistent with previous studies of sexual and gender-based violence (SGBV) among Syrians and other refugee populations (Davis, Reference Davis2015; Freedman, Reference Freedman2016; UNHRC, 2018). This issue, which can be difficult to discuss, should always be considered in services that support this population (Asgary et al., Reference Asgary, Emery and Wong2013; Rizkalla et al., Reference Rizkalla, Arafa, Mallat, Soudi, Adi and Segal2020).

Limitations

We achieved only a low response rate to the postal survey, and this is common with a postal survey methodology. In addition to the adverts we placed, additional dialogs with key stakeholders and the use of social media could potentially have increased response rates. For future studies, social media will be increasingly important for community engagement but will have to be piloted to reflect the changing use of platforms, languages, and so on, and to take account of any differential impact by age, gender, and other characteristics that might reflect patterns of use. The low response rate obviously increases the risk of sampling bias. The external validity of our study sample (N = 513) closely reflected the sample frame for gender, with 61% men and 39% women in our final study sample versus 63.8% men and 36.2% women in the sample frame. For age, there was a little more variance: the proportion of respondents in our study sample (N = 513) versus the sample frame was: 39.0% versus 45.8% for age 18–30 years; 37.8% versus 36.89% for age 31–45 years, and 23.2% versus 17.31% for aged over 45 years. A potential bias associated with this could have been that those with mental health problems may have been more inclined to participate. Alternatively, someone with symptoms of depression/other mental health conditions might impair someone from completing the survey or having the motivation to participate. In addition, there was a relatively high number of respondents that were employed/student/retraining. This could introduce selection bias as they may have been more inclined to participate in our study due to greater literacy and trust in university institutions. The economic situation was self-assessed and so this subjective rating may not reflect objective data on income levels, although this is difficult to measure in populations living precarious lives. The sample size limited the statistical power of additional regression and effect modification analyses, especially in our ability to conduct disaggregated analysis (e.g., by gender). Related to this, the female gender was not associated with higher mental health needs, in contrast to some other studies with Syrian refugees (Hendrickx et al., Reference Hendrickx, Woodward, Fuhr, Sondorp and Roberts2020). In addition, other predictor variables could have been included in the regression modeling, such as discrimination.

Another possible limitation is that the sampling procedure of using two waves could have meant there were differences in sociodemographic variables between the two waves. However, there was no indication of this or that the time passed between the waves had any influence on participants’ mental health or sociodemographic variables. Our cross-sectional survey design did not allow us to explore mental health burden or access to services over time, recognizing that these are likely to fluctuate as refugee populations experience and adapt to changing circumstances, including acculturation and discrimination. We did not assess the quality of services that Syrian refugees receive and whether they were appropriate to their needs. Additionally, we only included officially registered Syrian refugees and those granted asylum in Germany as we had no data on unregistered or undocumented Syrian refugees, who we might expect to have greater mental health needs and even less access to services than our participants (Miller and Rasmussen, Reference Miller and Rasmussen2010). The use of single imputation in the regression analysis reduces statistical variance in the analysis, but missing data were low (Jakobsen et al., Reference Jakobsen, Gluud, Wetterslev and Winkel2017). Finally, the study is limited to Leipzig and so cannot be generalizable to other cities in Germany.

Conclusion

Our analysis of mental health symptoms and access to services by Syrian refugees in Leipzig, Germany found high rates of exposure to traumatic events, mental health distress, and discrimination. Using regression models, we found that both mental distress and somatization were associated with the use of services, in line with previous studies of Syrian refugees elsewhere. These findings reiterate the need for improved access to mental health care for the Syrian refugee community in Leipzig. Some recommendations are apparent. One is the need to ensure mental health services are more responsive to the needs of Syrian refugees in Leipzig, including greater use of translation services, greater awareness of refugees’ needs by health care providers – including somatic symptoms – and cultural competence. The delivery of scalable counseling and psychoeducation services by trained Syrian refugees could also be implemented more widely in Leipzig. Mental health awareness-raising programmes could also be scaled up within Syrian refugee communities in Leipzig. Finally, greater sensitization of the wider Leipzig society to Syrian refugee needs is required.

Open peer review

To view the open peer review materials for this article, please visit http://doi.org/10.1017/gmh.2024.16.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/gmh.2024.16.

Data availability statement

Data will be made available. Please contact .

Acknowledgments

We would like to thank the survey respondents.

Author contribution

B.R., D.C.F., H.G., Y.N., K.S., M.S. and P.C. designed the study. H.G., Y.N. and K.S. led the study implementation. S.F.S., C.D. and A.M. led the statistical design and analysis. S.F.S. and B.R. led the writing. All authors reviewed, edited and approved the manuscript.

Financial support

The STRENGTHS project received funding from the European Union’s Horizon 2020 Research and Innovation Programme Societal Challenges under grant agreement no. 733 337. The funder had no role in the study design; in the collection, analysis and interpretation of data; in the writing of the article; or in the decision to submit the article for publication.

Competing interest

The authors declare none.

Ethics statement

The authors assert that all procedures contributing to this work comply with the ethical standards of the relevant national and institutional committees on human experimentation and with the Helsinki Declaration. The study was approved by the Institutional Review Board of Leipzig University (ref 332/17-ek) and the London School of Hygiene and Tropical Medicine (ref 14351 – 1). The Leipzig municipal authorities granted permission for the survey and meetings were held with community leaders and key stakeholders to ensure community sensitization and support. For informed consent, the mailing package sent to potential participants included consent documents. Participants could complete the survey by paper and return it to the study team or complete an online survey. In both cases, participants only gained access to the survey when active consent was provided to the study team. Data were stored confidentially and separately from participant information and consent documentation. Information for referral to mental health support services was provided.

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Figure 0

Table 1. Demographics and clinical characteristics, by sex (n = 513)a

Figure 1

Table 2. Traumatic events experienced and/or witnessed (N = 513)

Figure 2

Figure 1. Flowchart of mental healthcare-seeking behavior (N = 513).

Figure 3

Table 3. Participant responses to “Where do people in your community first go to seek services for mental illness?” (n = 429a)

Figure 4

Table 4. Adjusted and unadjusted Poisson regression models assessing associations between predictors (current mental health condition, trust in physicians, somatization) and outcome variable (mental healthcare service access)

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Author comment: Mental healthcare access among resettled Syrian refugees in Leipzig, Germany — R0/PR1

Comments

Dear Editor,

This study provides new data on the mental health needs of adult Syrian refugees in the city of Leipzig, Germany. This includes the prevalence of mental health symptoms and results of descriptive, regression, and effect modification analyses on predictors of access to mental health services. The study highlights the ongoing burden of mental disorder symptoms and limited access to mental health services among the study population. Based on our analysis, we provide policy recommendations to support greater access to mental health services for Syrian refugees in Leipzig. We would be grateful if our manuscript could be considered for review by Global Mental Health.

Kind regards. The authors

Recommendation: Mental healthcare access among resettled Syrian refugees in Leipzig, Germany — R0/PR2

Comments

The reviewers recognized the importance of the article and were encouraging of its potential. They have made some recommendations and asked for several points of clarification, particularly in the methods and results sections. The reviewers also point out some areas of the discussion where the authors can elaborate on the interpretation and implications of the study findings. We hope you can consider these suggestions and are able to submit a revised draft of the manuscript.

Decision: Mental healthcare access among resettled Syrian refugees in Leipzig, Germany — R0/PR3

Comments

No accompanying comment.

Author comment: Mental healthcare access among resettled Syrian refugees in Leipzig, Germany — R1/PR4

Comments

Dear Reviewers,

Thank you very much for your extremely helpful comments. We very grateful for them. We have provided our responses and changes to the manuscript below, along with cross references to where the changes have been made in the revised manuscript (track changes). In case it is easier to read, we have also uploaded these same responses as a separate document (see supplementary files).

Thank you again.

The authors.

************

Reviewer: 1

This study brings potentially new information about the level of mental health difficulties among Syrian refugees living in Germany. The study reports elevated levels of depression, anxiety and post-traumatic stress disorder, yet limited levels of access to care, which calls for greater attention. The analyses are fairly basic due to limited sample size, however, I think the authors can go a bit beyond current methods and results. Moreover, some results need to be commented upon.

1. What is the participation rate in the study? Any thought about ways to improve it? How about participants who have literacy problems, were there any attempts to reach them?

• Authors’ response: Thank you for this. We have provided more detail on the participation rate, as follows:

“In the first wave there was a 14.2% initial response rate, and the second wave had a 9.36% initial response rate (the average initial response rate across the two waves was 11.9%). The final response rate was 9.6% (n=513) for those that provided written consent and participated in the survey.” (page 5, paragraph 3).

• In terms of improving the response rate, we realise that we should have clarified that we also placed adverts. We have now added the following to the manuscript:

“…with adverts also placed on public transport and in locations used by the Syrian community (such as supermarkets and cultural centres) to encourage uptake by those that had received it the postal survey.” (page 5, paragraph 3)

• Authors response: We have also added some recommendations that we think could help increase response rates in future studies. We have now noted:

“In addition to the adverts we placed, additional dialogues with key stakeholders and use of social media could potentially have increased response rates. For future studies, social media will be increasingly important for community engagement but will have to be piloted to reflect the changing use of platforms, languages etc. and to take account of any differential impact by age, gender, and other characteristics that might reflect patterns of use. " (Page 13, paragraph 4)

• Authors response: There were no additional attempts to reach participants with literacy problems. The study, initially planned as face-to-face interviews, had to be conducted as a mail survey due to COVID-19 restrictions. Information on literacy was not available to the study team and our ethics approval and data protection restrictions did not allow us to undertake further enquiries regarding reasons for non-participation using sources outside of the survey. It should be noted that literacy levels were high among the Syrian population prior to the conflict, and among Syrian refugees in Germany. E.g. see Brücker, H., Rother, N., & Schupp, J. (2016). IAB-BAMF-SOEP-Befragung von Geflüchteten: Überblick und erste Ergebnisse (Vol. 29, p. 77).

2. It is surprising that demographic factors are not specifically studied as they are known predictors of mental health and access to healthcare - additional results relative to age, sex, marital status, employment status would be appreciated.

• Authors’ response: Initial analyses were done to assess factors associated the outcomes of interest, using Fisher’s for categorical variables and Chi square for binary variables. This analysis did not find significant associations between age, sex, marital status, or employment status and access to mental healthcare services. We have now added some additional text in the revised manuscript:

“First, a crude baseline model was created using each predictor variable using Fisher’s for categorical variables and Chi square for binary variables. This analysis did not find significant associations between sex, marital status, or employment status and access to mental healthcare services, and so these variables were excluded.” (page 7, paragraph 2)

• Authors response: We have also added a note on this in the limitations section:

“The sample size limited the statistical power of additional regression and effect modification analyses, especially in our ability to conduct disaggregated analyses (e.g. by gender which was not a significant predictor variable in our study, but other studies have observed as an influencing factor on mental health).” (page 14, paragraph 1)

3. The measure of German skills should be described in detail (written? spoken skills?) and discussed - what does it say about participants' actual ability to communicate and seek healthcare? what is it’s validity?

• Authors’ response: The measure of German language skills was a single item self-reported measure originally used in the Sociocultural Adjustment Scale by Furnham and Bochner and applied by used by El Khoury (2018). The question was: “In your opinion, how good are your German language skills?”, with the response option a range from zero to ten. Thus, it is not possible to ascertain how participants distinguished between verbal and written language skills. Scores from zero to 10 score were then categories into no, poor, fair, good and excellent, based on this paper. This has been clarified on page 6, paragraph 2, with the El Khoury reference added.

4. There are no observed differences in mental health difficulties in women and men which is surprising. Does this hold after accounting for participants' demographic, social and clinical characteristics? If so, it should be discussed.

• Authors’ response: We agree this is surprising given that gender is commonly an influencing variable. We have now addressed this in the limitations section by noting:

“The sample size limited the statistical power of additional regression and effect modification analyses, especially in our ability to conduct disaggregated analysis (e.g. by gender). Related to this, female gender was not associated with higher mental health needs, in contrast to some other studies with Syrian refugees (Hendrickx et al, 2020) (page 14, paragraph 1).

5. Somatization is quoted as a non-specific signs of psychological distress among Syrian refugees. Isn’t it a sign a mental health difficulties not only among Syrians but also among other groups of refugees and migrants from countries where mental health literacy is relatively limited? This should be discussed.

• Authors’ response: Thank you for this. We have now noted that it may also reflect mental health difficulties among populations where mental health literacy is relatively limited:

“Such findings also reflect mental health difficulties among other groups of refugees and migrants from countries where mental health literacy is relatively limited.” (page 11, paragraph 1)

6. Finally, there are typos and grammatical mistakes throughout the manuscript which should be corrected (ex. page 9, lines 5-7).

• Authors’ response: We have carefully read through the manuscript and corrected the typos and grammatical mistakes.

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Reviewer: 2

Thank you for this engaging article on an important and relevant topic. Mental health among refugees in the host country is a social and political issue and needs evidence-based research to ensure adequate care for vulnerable people.

In its current version, however, the manuscript still has a few weak points in my opinion, which I would like to describe below.

Abstract.

LL 27: a p-value of .055 is technically not significant and therefore, the phrase “borderline” significance is misleading and overemphasizing the non-significant result. Please also see comment for Page 8, LL 49ff.

• Author response: We have now changed the text throughout the manuscript to better clarify this was a non-significant finding. More specifically, we have now written that it “did not reach statistical significance” (page 10, paragraph 2), that “significance levels were not reached” for somatization (Abstract); and removed reference to the association in the Impact Statement. We have also removed the text discussion on the association in the Discussion section (e.g. page 11, paragraph 1).

Introduction.

It would be helpful to locate the city Leipzig in Germany because for non-German readers it would be helpful to have a better geographical picture (e.g. in Saxony).

• Authors’ response: Thank you for this. We have added this information (page 5, paragraph 1).

Page 3, LL 49-52: The authors state that the Asylbewerberleistungsgesetz entitles asylum seekers only to basic healthcare until they grant asylum. In some states in Germany, asylum seekers get the “Gesundheitskarte” immediately and have access to all health services. Although this is not the case in all states (as I remember correctly), it has to be made transparent in this part of the introduction that this is not the case for all refugees in Germany.

• Authors’ response: Thank you for this. We have added this information, but we also note that, in Saxony, full access is only available after 18 months (page 4, paragraph 1).

Method

Page 5, LL 19: The authors stated that they were two waves. It would be great if the authors could give detailed dates of the start of wave 1 and 2. Could there be a difference between these two waves regarding the time which passed regarding mental health or sociodemographic variables?

• Authors’ response: We have now clarified the timing of the two waves as follows:

“The first wave of 3001 survey invitations was dispatched on 6 September 2021. To try and gather representative data in the first wave, the sampling frame was stratified by age, gender, and post code. As we did not achieve the desired sample size in the first wave (including after reminders were sent after six weeks), a second booster wave of invitations was sent to a further 2861 people on 20 January 2022 (with reminders sent after six weeks).” (Page 5, paragraph 3).

• Authors response: We appreciate the point made here. We did not observe any differences between the two waves but have noted this as a possible limitation. We have written:

“Another possible limitation is that the sampling procedure of using two waves could have meant there were differences in sociodemographic variables between the two waves. However, there was no indication of this or that the time passed between the waves had any influence on participants’ mental health or sociodemographic variables”. (page 14, paragraph 2)

Page 6, LL 13-30: I was wondering why the authors did not include age or gender or level of discrimination as predictor variables? I can assume that these variables have an influence on the access to mental health, especially because there are so many differences between male and female participants looking at table 1.

• Authors’ response: Gender was initially included in a crude baseline model but did not show a significant association and so was excluded from the final models. For more information on this analytical process, please see our response below (in relation to your comment on confounders).

• Authors' response: We agree that it would have been interesting to consider the level of discrimination as a predictor variable and have added this as a limitation. We note:

“In addition, other predictor variables could have been included in the regression modelling, such as discrimination”. (page 14, paragraph 1)

Page 6, LL 43-44: The authors estimated in their sample size calculation a size around N=500, which was achieved. Here, the authors stated that “given the constraints imposed by our small sample size”. Could you explain why you do not calculate in advance for this analysis, that would be very helpful to better understand.

• Authors’ response: Thank you for this. Our sample size calculation was estimated for our primary analytical objectives but it did impose constraints on some of the regression modelling. We have altered the wording to clarify this: We have changed “Given the constraints imposed by our small sample size…” to “Given the constraints of the sample size…” (page 7, paragraph 2). Similarly, when discussing the limited statistical power to conduct disaggregated analysis, we have changed “small sample size” to “sample size” (page 14, paragraph 1).

And due to the fact that the authors only included confounders that most changed the RR in the final model, the results might be influenced. It would be great if the authors could explain more in detail their decision on that.

• Authors’ response: Thank you for this. We have added some additional text to the manuscript and provided this here as well. Note – this also relates to the point above about gender:

“In our initial exploration of the survey data, we observed that the outcome variable (mental health service access) did not follow a normal distribution, thus generalized linear models were used in which response variables follow distributions that are not normal. Led by previous conventions for fitting Poisson regression models for skewed binary outcome variables, a series of three Poisson models were built to assess associations between each predictor (recent mental health symptoms, somatization, and trust in physicians) and the outcome of interest (access to mental healthcare services). First, a crude baseline model was created using each predictor variable using Fisher’s for categorical variables and Chi square for binary variables. This analysis did not find significant associations between gender, marital status, or employment status and access to mental healthcare services, and so these variables were excluded. Generalized linear Poisson regression models were used separately for each predictor. We then built a list of a priori and hypothesized confounding variables for each model, based on initial testing of bivariate associations between predictor and outcome variables, previous empirical research, and our judgement. We identified important confounders in the final adjusted model by comparing the crude and adjusted risk ratio (RR) with and without each variable in the expanded and nested regression models. Given the constraints of the sample size, we included only those two or three confounders that most changed the RR in the final model. Final models were compared with unadjusted models using Akaike information criterion (AIC) calculations and assessed for equidispersion (variance=mean assumption of Poisson regression models).(Armstrong-Hough et al. 2018; Zou 2004) To test for the presence of effect modification, we conducted a stratified analysis for levels of third variables of interest. We calculated contingency tables using the epiR statistical package to compare Odds Ratios (ORs) between levels of third variables in the association between mental health symptoms and access to mental healthcare. We used the R statistical package (R version 4.2.1). Significance in all analyses was determined at p ≤ 0.05. For descriptive data analysis, missing data were removed. For regression and effect modification analyses, single imputation was used to ascribe a range of sample means for numeric variables when data were missing for items on the somatization and trust in physicians scales (if they also had complete data for the outcome variable). The reliability and validity of all scales used in regression and effect modification models were assessed using Cronbach’s α (α > 0.80 ‘good’, α > 0.70 ‘acceptable’).” (page 7, paragraph 2).

Statistical analysis

How did the authors deal with missing values in general?

• Authors’ response: We have clarified this in the revised manuscript. We note the following in the revised manuscript:

“For descriptive data analysis, missing data were removed. For regression and effect modification analyses, single imputation was used to ascribe a range of sample means for numeric variables when data were missing for items on the somatization and trust in physicians scales (if they also had complete data for the outcome variable).” (page 8, paragraph 1)

Results

Page 7 LL 21: I am not sure if all readers understand the meaning of having a “health insurance card”. Does it mean to have full access to the health insurance system in Leipzig? If yes, that would be great to know as a reader because the authors stated in the introduction that because of the Asylbewerberleistungsgesetz, asylum seekers only have access to basic healthcare.

• Authors’ response: Thank you for this. You are right. If somebody has a health insurance card, he or she has full access to all health care services, just as German citizens. This has been by noting it “gives them full access to all health care services” (page 8, paragraph 2).

Page 7; LL 38-43: I wanted to ask if the numbers match with Table 1 because here, only 25.3% of the participants reported PTSD symptoms using a cut-off score of >=33. Could you explain the difference between the stated number here and Table 1? The same with the percentage of moderate or severe anxiety symptoms (in Table 1 this number is 38.3)

• Authors’ response: Thank you for catching this and we apologize for this error. We have corrected the text to match Table 1, by noting:

“Turning to mental health outcomes, 28.7% of participants reported depression symptoms, 38.3% reported moderate or severe anxiety symptoms, and 25.3% reported PTSD symptoms. 60% of participants met criteria for mental health symptomology using the combined summary measure. 25.3% reported somatization.” (page 8, paragraph 3)

Page 8; LL 14: The authors wrote “Six participants (15.4%)”. Did you mean Sixty-six as stated in Table 3?

• Authors’ response: Thank you, this should indeed have been sixty-six. This has now been corrected (page 9, paragraph 2).

In addition, the item (in Table 3) suggests that there can be two possible answers: 1) I do not seek help from anyone, and 2) Help is not available. This would be two different content statements and a summary such as “Did not know of any available mental health service” would not be valid.

• Authors’ response: We have clarified that this response option was: “no care available”, and updated Table 3 accordingly.

Page 8, LL 19-22. The authors stated that they use “complete data for predictor and outcome (including those with calculated single imputation)”. Therefore, there are also missing data included and not complete data? Could you explain that in more detail in the statistical analysis section? That would be helpful.

• Authors’ response: Thanks for this. Single imputation was used for missing data within numeric scales for somatization and trust in physicians. Therefore, we have altered this sentence in the statistical analysis section to indicate that this is not complete data, but rather, that we used single imputation for participants who were missing the answer to items on the somatization and trust in physicians scales, and they were included in regression models if they also had complete data for the outcome variable. See above for exact wording and page 8, paragraph 1 of the revised manuscript.

Page 8; LL 19ff: I was wondering why the authors adjusted for age and economic situation in one analysis and for economic situation and education in the second analysis and for age, economic situation, and time since arrival in the third. Why do the authors think age is more relevant for mental health stress and education for the trust in physicians. In addition, gender seems to be an important factor when looking at Table 1 (e.g. work situation, economic situation, marital status, children seems to be significantly different).

• Authors’ response: Thank you for this. Please see our response to your point above about addressing confounders where we note the sequencing of using a crude baseline model for each predictor variable, and then identifying confounders in the final adjusted model through a Poisson model and the difference between crude and adjusted RR compared between these expanded and nested regression models. Given the constraints imposed by the sample size, we included the two or three confounders which most changed the RR in the final model. This is detailed in full above and in the main manuscript (page 7, paragraph 2).

Page 8: LL37ff: I just have a question of understanding. The authors write that they compare participants with mental health distress with participants that did not report mental health distress. But as I understand it correctly the outcome variable is “access to mental health” and the predictor is “trust in physicians”. Do the authors also compare for the distress?

• Thank you for pointing this out. We’ve corrected the language by noting the following:

“Inclusion of age and household economic situation both led to a difference in the adjusted and unadjusted RRs for the exposure variables of mental health concerns in the past month and trust in physicians with the outcome of interest (accessing mental health services),…” (page 9, paragraph 3).

Page 8, LL 49ff. The analysis is not significant as it is described in the statistical analysis section and after having a sample size calculation. The authors emphasize this result in their discussion and practical implementation, but it is not statistically sound to state it as a profound result. It would need some further explanations why the authors emphasize this result.

(this comment also has impact on the abstract, the impact statement and the discussion)

• Authors’ response: We have removed the text on the association in the Discussion section (page 10, paragraph 5).

Discussion

Page 9: it would be worth to also state the “unusual” results that the sample is highly educated, over 50% are employed or “student/retraining program”, over 70% reported good or average economic situation.

• Authors’ response: Syrian refugees have a relatively high educational standard compared to other refugee groups (e.g., Brücker, H., Rother, N., & Schupp, J. (2016). IAB-BAMF-SOEP-Befragung von Geflüchteten: Überblick und erste Ergebnisse (Vol. 29, p. 77). However, selection biases could apply, and we have added the following to the manuscript:

“In addition, there was a relatively high number of respondents that were employed/student/re-training. This could introduce selection bias as they may have been more inclined to participate in our study due to greater literacy and trust in university institutions. The economic situation was self-assessed and so this subjective rating may not reflect objective data on income levels, although this is difficult to measure in populations living precarious lives.” (page 14, paragraph 1).

• Authors’ response: Economic situation was self-assessed (‘How would you rate your household’s current economic situation: very good – very bad’). The subjective rating might not entirely reflect the objective data. This is now noted as potential limitations in the study (please see text in response above); and page 4, paragraph 2 in the revised manuscript).

Page 9: LL46ff: it should be addressed in addition that somatic symptoms as assessed here could also be caused by the traumatic events they experienced and might not be related to mental health problems (e.g. experiencing of toxic substances, illness, sexual assault and accidents could cause back pain, headache, pain in arms/legs without being related to mental health).

• Authors’ response: Thank you for this. We have noted this in the revised manuscript.

“However, it should also be recognized that somatic symptoms as measured in the study could also have been caused by traumatic events experienced by respondents and so might not be related to mental health problems (e.g. experiencing of toxic substances, illness, sexual assault and accidents could cause back pain, headache, pain in arms/legs without being related to mental health)”. (page 11, paragraph 1)

Page 10, LL 22ff: Could you give references for the examples you listed regarding the count of family and friends as a source of mental health care? It would be better if the authors know for sure if other studies listed “friends and family” as a source and name them here.

• Authors’ response: Thank you for this. We have referenced studies which lists “friends and family” as sources of support (Bhui et al. 2012; Fuhr et al. 2020).

Page 10; LL 34f: The authors stated that the participants identified members of their community as the first place to seek help, but I would take into consideration that friends might not be part of their community (especially as “community members” was also a possible response). Is it possible to be more precise at this point to name family and friends as the direct source for support. In addition, the authors state that this support serves as a buffer. Here, I would like to know if the authors ask if the care was helpful or do the authors assume a buffering effect?

• Authors’ response: We have altered the wording to be more specific by replacing “members of their community” with “family and friends”. We have also clarified that we are assuming it has a buffering effect. Please see page 12, paragraph 2.

Page 10, LL51ff. it should be clearer that the shift from licensed providers to lay counsellors only include counselling/psychoeducation etc. but not psychotherapy per se.

• Authors’ response: We have clarified this in the revised manuscript by noting the following:

“For example, there is evidence to support task-shifting of scalable mental health services from licensed providers to lay health care providers who are trained to deliver counselling and psychoeducation (but not psychotherapy per se) within their communities,…” (page 12, paragraph 4).

Page 10: It would be interesting to know how the authors explain the n=123 persons who wants to handle their problems themselves as well as the n=88 persons who are not bothered very much.

• Authors’ response: We have added the following text and references to the Discussion section.

“There were 123 respondents with mental health symptoms who preferred to handle problems themselves. This is a frequently cited reason in the mental health service literature for not seeking help, including with refugees.(Mojtabai, 2016;Fuhr, 2020) Potential explanations may be that they prefer other sources of support, such as religious services. It may also reflect lower mental health literacy and lower trust in mental health services. Eighty-eight persons with mental health symptoms reported not being bothered very much, and this could potentially be attributed to diagnostic measures not being perfect. It could also be that they may have problems, but they don’t experience or feel them as such. They may also feel that any problems will recede naturally. Mojtabai, 2016).” (page 12, paragraph 3)

Page 11, LL6-8: could you be more specific regarding the training and which mental health issues.

• Authors’ response: We have noted the following in the manuscript:

“Physicians and medical professionals treating refugee populations should receive training on somatization and the ways that mental distress can manifest physically, and ways to educate patients about these manifestations.” (page 11, paragraph 1)

Page 12, LL 28ff: it is not clear why there is a need for programs in the refugee community if discrimination is caused by the German society.

• Authors’ response: We have re-worded this as follows:

“This supports the need for programs that not only target individual psychological distress but also refugee community awareness programmes that consider stigma, and also sensitization in wider Leipzig society to refugee mental health concerns. Prioritising programmes addressing professionals in health care, education, and the asylum administration would be a reasonable step due to their contact with refugee populations.” (page 13, paragraph 2)

Page 13, LL 26. The authors stated that missing data were low. It would be great if they can name the percentage here or in the section for statistical analysis.

• Authors’ response: Missing data varied by item but is indicated in the results in Table 1. Overall, it was low (i.e. <~8%).

Page 13, conclusion. I think the conclusion must be much stronger including more/specific practical implications or political request. Now it is more like a part of the abstract.

• Authors' response: We have strengthened the Conclusion (page 14), by adding the following text:

“Some recommendations are apparent. One is the need to ensure mental health services are more responsive to the needs of Syrian refugees, including greater use of translation services, greater awareness of refugees’ needs by health care providers – including somatic symptoms – and cultural competence. The delivery of counselling and psychoeducation services by trained Syrian refugees could also be implemented more widely. Mental health awareness raising programmes could also be scaled up within Syrian refugee communities. Finally, greater sensitization of the wider Leipzig society to Syrian refugee needs is required.” (page 15, paragraph 1).

Table 1: is it possible to note the range of the variable “integration” below the table? At the moment it is hard to directly know if the mean is big, moderate or low.

• Authors’ response: This has been included in Table 1.

Table 2: maybe it is easier for the reader if you include the abbreviation (LEC-5) on the title of the table or in the notes below to directly know where these items belong to.

In addition, do the authors have any information about the “other very stressful events”, e.g. are these events “potential traumatic events” as defined b DSM5?

• Authors response: LEC-5 has been added to notes in Table 2.

• Author response: The item of ‘Any other very stressful event or experience’ is a standard item included in LEC-5 but we don’t have any further information on these events/experiences with our study population and so can’t relate them to DSM5. We have added the following note in Table 2 on this:

“ b This is a standard item included in LEC-5, and further information is not available on the nature of these events/experiences.”

Table 4: for each regression analysis max. 244 persons were included (referring to the notes) but in the text (page 8) it is said that regression models were built with 259 participants. It would be great if you can explain the different numbers.

• Authors’ response: Thank you for this observation. A total of 259 participants had complete data for the outcome variable, “access to mental health services.” Of those 259 participants, 244 had data on “current mental health condition” and “access to mental health services”, 244 had data on “trust in physicians” and “access to mental health services”, while 240 participants had data on “somatization” and “access to mental health services”. Those totals indicate how many participants were included in each of the regression models. We have now removed the 259 figure from the text (page 9, paragraph 3) to avoid confusion. The data of 244/240 respondents are given in Table 4 and so this was felt to be sufficient.

Figure 1:

n = 7 could not get an appointment: I would understand this as a person who did seek help. Could you explain why you included these persons under this section?

• Authors response: We have clarified this related not seeking or receiving care (Figure 1 and relevant text in Results).

N = 12 nowhere/care is not available: does that also mean that the persons don’t seek care? If this is the case and I understand it correctly, then the person did not seek help and had to put in the other category or is the word “nowhere” misleading here?

• Authors’ response: This was an error in the figure, and we have now corrected this by removing it from Figure 1.

N= 18 other: do you have any information who/what the “other” is?

• Authors’ response: I’m afraid we do not have info

Recommendation: Mental healthcare access among resettled Syrian refugees in Leipzig, Germany — R1/PR5

Comments

Thank you for the thorough revision of this paper. I appreciate your thoughtful consideration of the sampling-related limitations. As mentioned by one of the reviewers, the low participation rate does raise some concerns, which you appropriately address in the limitations section of the discussion. However, given these concerns I ask that the authors qualify some of the interpretations in the results or earlier in the discussion section as well as in the abstract by more explicitly mentioning how and to whom these findings can (or can’t) be generalized. With these minor revisions, we agree that this paper is suitable and ready for publication. Thank you for considering this feedback.

Decision: Mental healthcare access among resettled Syrian refugees in Leipzig, Germany — R1/PR6

Comments

No accompanying comment.

Author comment: Mental healthcare access among resettled Syrian refugees in Leipzig, Germany — R2/PR7

Comments

Dear Editor,

Thank you for your ongoing support with our manuscript. We are pleased the reviewers are satisfied with the revisions made to the manuscript. As detailed below, we have updated the manuscript to address the one remaining request from the Editor.

Handling Editor: Greene, Claire

Comments to the Author:

Thank you for the thorough revision of this paper. I appreciate your thoughtful consideration of the sampling-related limitations. As mentioned by one of the reviewers, the low participation rate does raise some concerns, which you appropriately address in the limitations section of the discussion. However, given these concerns I ask that the authors qualify some of the interpretations in the results or earlier in the discussion section as well as in the abstract by more explicitly mentioning how and to whom these findings can (or can’t) be generalized. With these minor revisions, we agree that this paper is suitable and ready for publication. Thank you for considering this feedback.

Author response:

Thank you. We have updated the manuscript in the following ways. These are shown in track changes in the revised manuscript.

• Impact statement: We have clarified that the findings are applicable to Syrian refugees in Leipzig in two places (please see track changes).

• Abstract: We have added the following sentence: “The sampling strategy means findings are applicable only to Syrian refugees in Leipzig.”

• Abstract: We have clarified in the Conclusions section that the findings are relevant “in Leipzig”.

• Abstract: Given the above additions, we have done some minor editing to ensure the word count remains below 200 words (please see track changes).

• Discussion section: We have added the following sentence in the first paragraph of the Discussion section: “The sampling strategy means the following discussion of these findings is applicable only to Syrian refugees in Leipzig and caution should also be noted given the low response rate.” (Page 10, paragraph 1).

• Discussion section. We have re-iterated that the findings apply only “in Leipzig” (page 12, paragraphs 1 and 2).

• Conclusions section: We have clarified in three places that the findings are applicable “in Leipzig” (page 14, paragraph 2).

Thank you again for your support and guidance.

The authors

Recommendation: Mental healthcare access among resettled Syrian refugees in Leipzig, Germany — R2/PR8

Comments

No accompanying comment.

Decision: Mental healthcare access among resettled Syrian refugees in Leipzig, Germany — R2/PR9

Comments

No accompanying comment.