Background
Cancer patients experience physical, emotional, social, or spiritual distress. Without targeted interventions, distress may increase to such an extent that it reduces the quality of life and has a negative impact on adherence, on the course of the disease, and even on survival (Fradgley et al. Reference Fradgley, Byrnes and McCarter2020; Schouten et al. Reference Schouten, Avau and Bekkering2019). The prevalence of severe distress ranges from 33 to 55% for all cancer patients (Carlson et al. Reference Carlson, Zelinski and Toivonen2019; Donovan et al. Reference Donovan, Grassi and Deshields2020; Schouten et al. Reference Schouten, Avau and Bekkering2019). Worldwide, the distress thermometer (DT) is frequently used to identify distress and refer to a specialist support (Donovan et al. Reference Donovan, Grassi and McGinty2014; Reference Donovan, Grassi and Deshields2020).
Since the implementation of distress screening at the Comprehensive Cancer Centre Zurich (CCCZ) in 2011, nurses use the DT to assess cancer inpatients upon admission, thereby aiming to improve the quality of psychosocial support. Five years after the implementation, nurses reported several factors limiting the instruments’ value. These factors echoed the findings of various publications including difficulties to integrate screening in the workflow and patients’ refusal of screening or referrals to a specialist (Donovan et al. Reference Donovan, Grassi and Deshields2020; Ehlers et al. Reference Ehlers, Davis and Bluethmann2019; Ownby Reference Ownby2019; Smith et al. Reference Smith, Beckwitt and van de Poll-franse2021).
The usefulness of distress screening is controversially discussed (Donovan et al. Reference Donovan, Grassi and Deshields2020; Ehlers et al. Reference Ehlers, Davis and Bluethmann2019; Jacobsen and Norton Reference Jacobsen and Norton2019; McCarter et al. Reference McCarter, Britton and Baker2018, Reference McCarter, Fradgley and Britton2020; Ownby Reference Ownby2019; Schouten et al. Reference Schouten, Avau and Bekkering2019). Screening could be beneficial to identify anxiety and depression as well as to improve quality of life or patient satisfaction, but most studies did not report any significant effect on the long-term quality of life, survival, or other clinical outcomes (Chambers et al. Reference Chambers, Zajdlewicz and Youlden2014; Donovan et al. Reference Donovan, Grassi and McGinty2014; Ma et al. Reference Ma, Zhang and Zhong2014; Schouten et al. Reference Schouten, Avau and Bekkering2019; Sun et al. Reference Sun, Thapa and Wang2021). However, studies report highly heterogeneous outcome measurements, screening protocols, and implementation strategies. Therefore, data indicate only general tendencies (Donovan et al. Reference Donovan, Grassi and Deshields2020; Ehlers et al. Reference Ehlers, Davis and Bluethmann2019; Schouten et al. Reference Schouten, Avau and Bekkering2019).
One rich source of evidence on the value of distress screening are practice-based data. For a successful implementation, guidelines recommend an interprofessional working group, a distress management program with targeted distress-reducing interventions, consideration of contextual factors and appropriate training (Ehlers et al. Reference Ehlers, Davis and Bluethmann2019; Jacobsen and Norton Reference Jacobsen and Norton2019; Smith et al. Reference Smith, Loscalzo and Mayer2018). While numerous studies have examined DT-based screening practices in everyday oncological care, only a few have provided in-depth descriptions of problems emerging in practice several years after implementation (Groff et al. Reference Groff, Holroyd-Leduc and White2018; O’Connor et al. Reference O’Connor, Tanner and Miller2017). Yet, it is vital to understand barriers to sustainable implementation and subsequent management. The current article reports a comprehensive systematic evaluation of DT screening and may contribute to a more profound understanding of factors influencing DT implementation.
Aim
This study addresses long-time impeding factors of the DT implementation at the CCCZ between 2012 and 2016 by exploring the DT screening process. We reviewed screening performance, referral practice, and the documentation of psychosocial information by nurses. Additionally, we explored how nurses interpreted the results of this evaluation.
Method
Design
This sequential explanatory study is part of a Mixed Method Research (MMR) project aimed at evaluating current distress screening practices at the CCCZ (Creswell and Plano Clark Reference Creswell and Plano Clark2011). We started with a quantitative retrospective descriptive health service research project (Götz et al. Reference Götz, Kroner and Jenewein2018). For this purpose, we evaluated the screening process and investigated the impact of screening results on the nursing processes (Götz et al. Reference Götz, Kröner and Jenewein2020). According to the MMR design, we performed a qualitative study in order to achieve an in-depth understanding of the quantitative results, particularly regarding nurses’ attitudes toward screening. For the current study, we merged the results of the quantitative and qualitative parts via thematic triangulation, resulting in a single, comparable data set. We intended a synthesis reflecting the influencing factors having emerged during the period of 5 years between the implementation of DT screening (at the beginning of 2012) and the end of our data collection period (at the end of 2016) (Figure 1).
MMR project.
Distress screening at the CCCZ
According to the CCCZ policy, all newly admitted inpatients are screened by means of the DT – a patient-reported instrument consisting of an 11-point numeric scale (0 = no distress; 10 = extreme distress) and a list of distress-inducing problems. Patients are asked to circle the number corresponding to their distress level over the past week and to indicate which of the 34 practical, familial, emotional, spiritual, and physical problems they are currently experiencing (Donovan et al. Reference Donovan, Grassi and Deshields2020; NCCN 2022). The German validation of the DT showed a distress detection sensitivity of 84% and a specificity of 47% (Mehnert et al. Reference Mehnert, Lehmann and Cao2006).
Ideally, the instrument is administered upon admission and the scores are evaluated with the patient during the initial nursing assessment. This assessment also included a standardized but not validated psychosocial assessment – questionnaire for all inpatients with general, open questions about disorders, coping, home care, coping of the relatives, and wishes as well as an outcome-oriented nursing assessment instrument “Acute Care about physical signs and symptoms” concerning basic nursing care (Baumberger and Hunstein Reference Baumberger and Hunstein2009). Patients reporting values ≥5 in the DT are classified as moderate to severe distressed (Mehnert et al. Reference Mehnert, Lehmann and Cao2006). Nurses recommended moderate to severe distressed patients a referral to social, psycho-oncological, or spiritual care services and asked all patients for support requests. Nurses were allowed to make a referral to the social service by their own, and physicians had to confirm the referral to psycho-oncology. Referral to spiritual care was not noted in the electronic health record (EHR) and could not be evaluated in this study. Nurses used North American Nursing Diagnosis Association (NANDA) nursing diagnoses for problems they considered relevant for the care of the patient and formulate nonstandardized interventions for the diagnoses (Herdman & NANDA International, 2014). For example, possible nursing interventions for fatigue were activation through training, planning of the daily routine with rest periods, motivational discussions, etc. Patients with distress level ≥5 were screened after 7 days again and those <5 after 28 days within one stay.
Since the DT implementation in 2011, we have offered a 1-hour distress screening training session to all nurses twice a year, which was attended by 60 to 80 nurses per year, but without standardized feedback loop. Additionally, we performed a monthly 1-hour training on symptom management (e.g., nausea, fatigue, pain, nutrition, and mucositis). All oncology nurses having just started to work at the CCCZ attended a 2-day basic oncology workshop addressing psychosocial distress, led by a psycho-oncologist and a nursing expert within 1 year. Furthermore, every ward receives support from a nursing expert who regularly discusses screening-related issues with the nursing team.
Triangulation
We aimed to develop a compact display of relevant quantitative and qualitative data because this allows a comprehensive overview of distress screening. This approach also allows to explain quantitative results in more detail (Guetterman et al. Reference Guetterman, Fetters and Creswell2015; O’Cathain et al. Reference O’Cathain, Murphy and Nicholl2010). For this purpose, we integrated our data in a “mixed method matrix.” Thereby, we summarized, analyzed, and displayed data from each of the 3 mentioned studies (O’Cathain et al. Reference O’Cathain, Murphy and Nicholl2010; Scharli et al. Reference Scharli, Muller and Martin2017). The following 3 integration steps provide an outline of the meta-matrix development.
Integration step 1
The first and last authors developed the meta-matrix framework. It was geared to the CCCZ protocol screening steps: (1) submission of the DT, (2) completion by patients, (3) nursing assessment, (4) triage, (5) referral, (6) nursing intervention, and (7) repeated screening.
Quantitative data
We analyzed the EHRs of 11,184 patients admitted between 2012 and 2016 (22,112 hospital admissions). For this purpose, we extracted data from the CCCZ clinical information system and database, thereby considering each patient’s sociodemographic characteristics (age, marital status, gender, and nationality) as well as disease- and treatment-related information (diagnosis, type of admission, and length of hospital stay) (Table 1). We also examined 7,034 completed DTs (date, distress level [0–10], relevant problems on the DT problem list, patient preference (if any) for referral, and date of referral (psycho-oncological/social services). Between 140 and 160 registered nurses in 15 wards were caring for cancer inpatients between 2012 and 2016.
Personal and clinical characteristics of the samples
Note: CNS, central nervous system.
We determined the workload by summing up the time (minutes), which nurses recorded for the care of each patient every day per month and in the medical ward. This amount of patient-related time was divided by the total amount of the contractual working time to calculate the workload.
From this data pool, we chose 2,166 inpatients who had spent at least 1 night at one of the CCCZ oncology and radiation-oncology wards and extracted additional EHR data. In these cases, we additionally considered relevant psychosocial issues on the DT problem list, nursing assessment data (at admission), and nursing diagnoses.
We analyzed data descriptively using frequencies and intergroup comparisons as well as one-way analysis of variance and chi-square tests.
Qualitative data
After the quantitative data analysis in 2018, we conducted 3 focus group interviews in June, July, and September 2018 with 9 oncology nurses from 4 CCCZ wards and with 4 CCCZ nursing experts, who conducted screenings with the DT at least for 1 year and with working experience between 1 and 30 years. We invited nurses from different wards, caring for more than 150 cancer patients per month (around 22 nurses per ward). For the first interview, we selected nurses of 2 wards with a low screening rate (<10%), and for the second interview, we selected nurses of 2 wards with a high screening rate (>60%). For this purpose, we developed a semi-structured interview guide on the basis of quantitative results (screening rate, referral rate, and DT’s influence on the nursing process). We added open questions, e.g., What is your experience of cancer patient screening with the DT? or for what purpose do you use the DT on your ward? The digitally audio-recorded interviews lasted 55 to 80 minutes.
We transcribed the interviews and anonymized them. Based on the MMR design, we chose a deductive approach to content analysis according to Mayring (Reference Mayring2008). Thereby, we reduced the interview material to its core content, determined the levels of abstraction, and categorized it according to our meta-matrix. After each step, we discussed and revised the grouping, modified the categories, and constantly compared them with the original interviews.
Integration step 2
We assigned quantitative and qualitative study results to separate columns of the MMR matrix. After this, we grouped and summarized the quantitative and qualitative results separately within the screening steps. We also added a column for reflection. As recommended by O’Cathain, we used this column to note distinctive features or interpretations of the quantitative and qualitative results (O’Cathain et al. Reference O’Cathain, Murphy and Nicholl2010). A separate table named recommendations (Table 4) displays a summary of improvements proposed by nurses during the interviews.
Integration step 3
We reduced the screening steps of the MMR matrix to 3 main items: distress screening, distress evaluation and distress intervention. After merging and reducing quantitative and qualitative data to key messages, we bundled them into themes. We compared qualitative themes and quantitative results concerning content. Furthermore, we assigned recommendations to 3 categories: screening protocol, screening skills, and setting-related factors. Before developing the triangulation graphic, we ensured that all important results were represented and that they were consistent within their categories. For this purpose, we reconsidered the original quantitative and qualitative data. To validate the integration process and the results, we asked all authors to check the comprehensibility of our collation, integration, and categorization and to discuss ambiguities.
Ethical considerations
The Ethics Commission of the Canton of Zurich (BASEC-N. 2016-01372) approved this project in December 2016. We reviewed only EHRs of patients having provided general consent on admission. Likewise, nurses signed informed consent forms before participating in focus group interviews. We performed the project according to our project plan.
Results of the triangulation
Distress screening
The interviewees mentioned 3 possible explanations for the low screening rate (32%): adaptation to individual needs, patient-related barriers, and the difficult timing in daily clinical practice.
The more frequently screened patient groups were males (relative risk (RR) = 1.6), emergency admissions (RR = 1.4), palliative patients (RR = 2.8), brain tumors (RR = 1.78), and leukemia (RR = 2.1) (p < 0.001). The interviewees reported selecting patients for screening based on their individual situations since they considered the current screening protocol too rigid. In the interviews, nurses explained that they postponed the screening if they have the impression that the patient is not emotionally ready to talk, e.g., due to a new diagnosis or physical symptoms. In contrast, screening occurs if patients have difficulties with discussing psychosocial issues because it helps to assess patients’ needs comprehensively.
Ten percent of patients rejected initial screening and 19% repeated screening. Mentioned reasons were fatigue, the instrument’s perceived uselessness, lack of time, and language problems. Nurses reported about patients having difficulties with assessing their distress or being stressed due to a high amount of medical examinations and therapy on the day of admission.
Nurses mentioned that physical symptoms have priority over psychosocial concerns, and patients’ time-consuming medical examinations and consultations on the day of admission do not allow distress screening. This contributes to the fact that only 45.5% of newly admitted patients consented to screenings at this point. Nurses reported that heavy workloads prevented them from screening. Quantitative data, however, indicate that screening rates were independent of workload (Spearman’s rho = –0.177; p < 0.001). According to the interviewees, discussing psychosocial distress requires a trusting relationship and is not established on admission. Further, high nursing staff turnover prevents the sustainability and development of institutional memory regarding distress management.
Screening evaluation
Almost half of the screened patients (47%) rated their distress levels above 4. Emotional problems were mentioned in 37.5% of screenings. Nurses reported challenges in communication and resistance of patients.
Distress was mentioned in 51.1% of all nursing assessments. The most obvious problem mentioned by the interviewees was a missing examination room in the wards for discussing psychosocial needs with patients. They were also unsure about bias when relatives were present during the screening. Furthermore, the interviewees reported a lack of communication skills necessary for discussing psychosocial problems with patients. Even after attending in-house communication workshops, nurses were not able to apply their newly acquired knowledge to individual patient situations. All interviewees mentioned problems with discussing distress levels with patients having a different opinion concerning distress. Despite reporting high DT distress levels (≥5), only 23.5% of patients accepted referrals to psycho-oncological services, 20.2% to social services, and 10.5% to spiritual care services. Nurses mentioned that they commonly have to talk several times to patients before receiving consent. Patients declined referrals because they feared stigmatization or preferred to talk with their family and friends.
Furthermore, the interviewees talked about their concerns regarding nudging reluctant patients. There is a possibility that patients accept or request psychosocial referrals later in the hospitalization. For patients receiving chemotherapy, psycho-oncological care becomes relevant as soon as medication side effects emerge.
Interventions
Of all screened patients, 9.4% were referred to psycho-oncological services and 44.7% to social services. Of patients diagnosed as distressed, 13.7% were referred to psycho-oncological services. Nurses explained that the referral rate is influenced by the established referral practice and difficulties with integrating results in the nursing process.
Psycho-oncological referrals occurred on average 5.8 days after admission. Only 22.9% of patients were referred within 48 hours after screening. The interviewees declared that decisions regarding referrals to psycho-oncological services were mostly independent of DT results. According to the nurses, finding already existing screening data in the EHR is difficult. Therefore, the treatment team did not typically use them. Additionally, nurses decried a general lack of interprofessional interest in their results. Daily or weekly interprofessional case discussions did not include routine discussions of distress levels or mentioned problems. Instead, every profession reported its own estimation of individual patient’s distress, including any need for a referral. Nurses declared that they lacked any precise knowledge of what psycho-oncologists discuss with patients with regard to recommendations. Referrals were often forgotten because only physicians were permitted to refer patients to psycho-oncological services. Some nurses also observed that psycho-oncological interventions offered to the patients helped only slightly and were less likely to recommend referrals.
The most common nursing diagnoses concerned pain (39.6%), personal mobility (40.9%), and eating problems (31.9%). Psychosocial nursing diagnoses were provided for 15.7% of all screened patients. The most common diagnosis, anxiety, was reported in 4.7% of all inpatients. Overall, a relationship between general nursing diagnoses and problems mentioned during the DT screening session existed only seldom (Table 2).
DT problems, noted nursing diagnosis, and matched DT problem/nursing diagnosis
a Patient-listed problem matched with nursing diagnosis in the same patient.
Nurses explained that they had problems to find the adequate diagnosis in the default list of nursing diagnosis. They lacked knowledge of effective evidence-based psychosocial nursing interventions. Without them, noting diagnosis is useless. They also mentioned that elevated psychosocial distress levels are somewhat normal in patients with cancer. However, they declared to have daily conversations with patients about their psychosocial distress, without documenting nursing diagnoses and interventions (Table 3).
Results of MMR Matrix
a Results of Quantitative Study I CCCZ (N = 22 112).
b Quantitative Study II (one ward) (N = 1711).
Nurses’ recommendations
Screening protocol
The interviewees suggested that reducing screening frequencies and adapting the frequency to patients’ needs may reduce refusal rates (Table 4). They also assumed that the benefits of screening will improve if distress levels and DT-related issues were regularly discussed in the interprofessional treatment team. Screening should become a fixed subject during the ward rounds. To ensure precise referrals, nurses and physicians need a referral guideline with clearly defined areas of responsibility. At discharge, nurses would like to offer patients contact information about ambulant support services.
Recommendations of nurses
Screening skills
They recommended more bedside teaching as well as more support for coping with difficult situations and more hands-on opportunities to improve their screening skills. They also proposed a set of symptom pathways including at least one feasible evidence-based intervention to address each item on the problem list. Such a roadmap may facilitate interventions adapted to current screening results.
Setting-related factors
Nurses recommended standardized written information to describe in detail why screening is necessary. The information should include a list of available supportive services and potential interventions. In addition, the interviewees proposed translating the DT into different languages. The translation may allow patients’ self-screening; instead, a family member or a nurse completes the form. Current and past screening results of every patient should be accessible in the EHR. Many nurses expressed the wish that each ward should have an examination room for performing the DT screening. Finally, the interviewees assumed that it would be easier and more effective that they themselves refer patients to specialist services indicated by the screening results.
Discussion
This study addresses the evaluation of the DT screening in patients with cancer at the CCCZ. By merging quantitative and qualitative results, we identified several factors hindering the distress screening process. However, DT screening also proved to be supportive for nurses with regard to distress management and psychosocial care. According to our analysis, only 32% of the admitted cancer patients were screened, with roughly half of all screened inpatients being moderate or severely distressed. Nurses stated difficulties with addressing psychosocial issues despite screening. Moreover, with only 9.4% of patients currently referred to psycho-oncological services, many patients either refuse a second screening (19%) or are never offered one.
Our screening rate is lower than other reported rates of around 60% with a variation between 25 and 97% (Azizoddin et al. Reference Azizoddin, Lakin and Hauser2020; Cardenas et al. Reference Cardenas, Abbott and Hirst2019; Fradgley et al. Reference Fradgley, Byrnes and McCarter2020; Geske and Johnson Reference Geske and Johnson2020; Groff et al. Reference Groff, Holroyd-Leduc and White2018; Neal et al. Reference Neal, Roy and Bugos2021; Skaczkowski et al. Reference Skaczkowski, Pejoski and Kaur2020; Walker et al. Reference Walker, Villiger and Robinson2018; Zebrack et al. Reference Zebrack, Kayser and Bybee2017). However, a comparison is difficult due to differences in setting, frequency, and study design. The interviewed nurses explained that timing, frequency, and consequences of screening were not always congruent with patient needs. Since the admission day tends to be very busy for patients and nurses, there is poor time to discuss psychosocial distress. High staff workloads and a lack of reminders in the EHR proved to be major barriers to screening. Smith et al. reported similar findings (Smith et al. Reference Smith, Beckwitt and van de Poll-franse2021). According to the interviews, nurses used their expertise to adjust the frequency and the point of time to patients’ needs. Delays increase the risk of identifying patients’ needs too late or incorrectly. Additionally, specific patient groups may be over- or underrepresented. While many experts have described similar problems, few have offered concrete solutions (Donovan et al. Reference Donovan, Grassi and Deshields2020; Ehlers et al. Reference Ehlers, Davis and Bluethmann2019; Ownby Reference Ownby2019; Schouten et al. Reference Schouten, Avau and Bekkering2019). Therefore, the time of screening should be better matched with distressing events and patients’ needs. If there is no standardized schedule, nurses will continue to adapt screening schedules according to their individual expertise or simply according to their own convenience. While sub-optimally timed screening is preferable to no screening at all, the lack of time-related standardization contradicts the purpose of a standardized screening instrument.
In contrast to physical problems, both nurses and patients tend to underestimate the necessity of addressing psychosocial issues. Nurses mentioned that patients, at least partially, responded with suspicion and discomfort. They were deeply concerned about communication and treatment regarding psychosocial problems and were aware that addressing patients’ psychosocial distress requires specific training and support. Our training on distress and symptom management was not sufficient enough to give the nurses confidence about communication and to include the psychosocial problems into their nursing process. Furthermore, nurses stated to prefer bedside teaching and supervision, which help to act in the real patient situation and provide confidence. Implementation studies hardly describe training programs for distress screening. Simulation training is used in the communication training of medical and nursing students (Dale Maclaine et al. Reference Dale Maclaine, Lowe and Dale2021). This may be an approach to promote communication skills.
Another key issue was nurses’ uncertainty in dealing with patients refusing their referral recommendations, although their distress levels were high and psychosocial assistance clearly necessary (Donovan et al. Reference Donovan, Grassi and Deshields2020). Tondorf et al. showed that 30% of patients with psycho-oncological referrals definitely refused them. However, another 30% of these patients are uncertain and could be persuaded by means of effective communication (Tondorf et al. Reference Tondorf, Grossert and Rothschild2018). Nurses are concerned that patients will regard ongoing attempts to persuade them as a kind of manipulation. Perceiving this as an ethical dilemma, some nurses discussed the question of whether nudging is appropriate. Additionally, DT is not validated to differentiate between moderate and severe distress. The acceptance of the referral increases with the number of problems and increasing distress levels (Cohen et al. Reference Cohen, Ianovski and Frenkiel2018; Skaczkowski et al. Reference Skaczkowski, Sanderson and Shand2018). In any case, without practical solutions, support, and evidence regarded as compelling, screening performance will remain poor (Donovan et al. Reference Donovan, Grassi and Deshields2020; Jacobsen and Norton Reference Jacobsen and Norton2019; Schouten et al. Reference Schouten, Avau and Bekkering2019; Zebrack et al. Reference Zebrack, Kayser and Bybee2017).
According to the recommendation, success of DT screening heavily depends on a supportive screening environment, i.e., a collaborative care team and setting-related factors facilitating distress management (Donovan et al. Reference Donovan, Grassi and Deshields2020; Ehlers et al. Reference Ehlers, Davis and Bluethmann2019; Ownby Reference Ownby2019; Smith et al. Reference Smith, Beckwitt and van de Poll-franse2021). Some of these factors can be modified. For example, nursing teams should be able to reserve a quiet, private room for undisturbed interviews. In addition, screening results should be read, recognized, and understood by the entire health-care team. Therefore, DT entries in the EHR should be clearly visible and easily accessible. Distress management should be revised by all professionals involved in cancer treatment, preferably with the participation of patients and family caregivers (Donovan et al. Reference Donovan, Deshields and Corbett2019; Smith et al. Reference Smith, Loscalzo and Mayer2018). Physicians, social workers, psycho-oncologists, nurses, ethicists, and spiritual care providers should also participate (Donovan et al. Reference Donovan, Grassi and Deshields2020).
At the same time, hospital leaders should support distress management by modifying setting-specific influencing factors (Ehlers et al. Reference Ehlers, Davis and Bluethmann2019). Feasible and acceptable interventions commonly require not only changes in clinical workflow, professional roles, and responsibilities but also institutional resources. Realizing the maximum effect requires commitment of all parties involved (Jacobsen and Norton Reference Jacobsen and Norton2019). Put simply, improving distress management demands long-term concerted efforts. More research is necessary as a basis for improving distress management, thereby making it more effective and allowing nurses to use the DT with more confidence.
In sum, considering the required competencies for effective screening, it may be preferable to delegate distress screening to specialized nurses, particularly nurse practitioners. They may accompany each patient throughout the course of the disease. In doing so, they may develop strong relationships with patients, allowing them to effectively adapt distress management tools and techniques to meet patients’ needs. Since nurse practitioners are specially trained and likely to be more confident with psychosocial themes, they could also conduct more complex self-management and psychosocial interventions. However, evidence is still lacking on whether specialist nurses would improve psychosocial care and patient outcomes.
Study limitations
Since this is a single-centre study, the results cannot be transferred to other settings without caution. Our findings compellingly emphasize the types of problems related to the implementation of distress management and associated tools, such as the DT. The quantitative data were generated via retrospective EHR reviews. Therefore, our study has potential confounders. Draw back correlations were not possible. However, the data were not biased about study conditions. This may have resulted in a higher sensibilization for psychosocial issues and a higher screening rate. Furthermore, we did not discuss our findings with patients and other health-care specialists before reporting this study.
Conclusion
To integrate psychosocial support in patient care, the DT proved to be helpful for nurses. However, to realize its benefits more fully, screening should be more closely tailored to patients’ and nurses’ needs. Evaluating distress screening in other settings will allow us to complete and compare our results, as well as to gain more evidence as a basis for practical recommendations. To achieve these goals, further studies are necessary. Additionally, there is a clear need for studies examining the development and implementation of nursing interventions to improve psychosocial care following DT screening.
Supplementary material
The supplementary material for this article can be found at https://doi.org/10.1017/S1478951522001493.
Data availability statement
All data supporting the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy and ethical restrictions.
Acknowledgments
This research did not receive any specific grants from funding agencies in the public, commercial, or nonprofit sectors.
Conflict of interest
The authors have no conflict of interest directly or indirectly related to the research. The authors have full control of all primary data, which they agree to allow the journal to review if requested.
Open access
