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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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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.

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

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.