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Assessing local service providers’ needs for scaling up MHPSS interventions for Ukrainian refugees: Insights from Poland, Slovakia, and Romania

Published online by Cambridge University Press:  06 December 2024

Marianna Purgato*
Affiliation:
World Health Organization Collaborating Centre for Research and Training in Mental Health and Service Evaluation, Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Verona, Italy
Monica Bartucz
Affiliation:
World Health Organization Collaborating Centre for Research and Training in Mental Health and Service Evaluation, Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Verona, Italy Department of Clinical Psychology and Psychotherapy, Babeș-Bolyai University, Cluj-Napoca, Romania
Giulia Turrini
Affiliation:
World Health Organization Collaborating Centre for Research and Training in Mental Health and Service Evaluation, Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Verona, Italy
Beatrice Compri
Affiliation:
World Health Organization Collaborating Centre for Research and Training in Mental Health and Service Evaluation, Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Verona, Italy
Eleonora Prina
Affiliation:
World Health Organization Collaborating Centre for Research and Training in Mental Health and Service Evaluation, Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Verona, Italy
Federica Patania
Affiliation:
World Health Organization Collaborating Centre for Research and Training in Mental Health and Service Evaluation, Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Verona, Italy
Emrah Kucukozkan
Affiliation:
International Medical Corps, Warszawa, Poland
Anna Zubachova
Affiliation:
International Medical Corps, Warszawa, Poland
Martin Mňahončak
Affiliation:
TENENET o.z., Senec, Slovakia
Katarína Čavojská
Affiliation:
TENENET o.z., Senec, Slovakia
Olena Koval
Affiliation:
Asociatia PHONEO, Cluj Napoca, Romania
Gabriela Lupea
Affiliation:
Asociatia PHONEO, Cluj Napoca, Romania
Vitalii Klymchuk
Affiliation:
Department of Social Science, University of Luxembourg, Esch-Belval Esch-sur-Alzette, Luxembourg
Natalie Maximets
Affiliation:
Department of Clinical, Neuro- and Developmental Psychology, Amsterdam Public Health Institute and World Health Organization Collaborating Center for Research and Dissemination of Psychological Interventions, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
Roberto Mediavilla
Affiliation:
Department of Psychiatry, Universidad Autónoma de Madrid, Madrid, Spain Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain Instituto de Investigación Sanitaria – Hospital Universitario La Princesa, Madrid, Spain
José Luis Ayuso-Mateos
Affiliation:
Department of Psychiatry, Universidad Autónoma de Madrid, Madrid, Spain Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain Instituto de Investigación Sanitaria – Hospital Universitario La Princesa, Madrid, Spain
Marit Sijbrandij
Affiliation:
Department of Clinical, Neuro- and Developmental Psychology, Amsterdam Public Health Institute and World Health Organization Collaborating Center for Research and Dissemination of Psychological Interventions, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
Els van der Ven
Affiliation:
Department of Clinical, Neuro- and Developmental Psychology, Amsterdam Public Health Institute and World Health Organization Collaborating Center for Research and Dissemination of Psychological Interventions, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
Iryna Frankova
Affiliation:
Department of Clinical, Neuro- and Developmental Psychology, Amsterdam Public Health Institute and World Health Organization Collaborating Center for Research and Dissemination of Psychological Interventions, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands ARQ Centrum 45, Oegstgeest, The Netherlands
Corrado Barbui
Affiliation:
World Health Organization Collaborating Centre for Research and Training in Mental Health and Service Evaluation, Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Verona, Italy
*
Corresponding author: Marianna Purgato; Email: marianna.purgato@univr.it
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Abstract

Providing Mental Health and Psychosocial Support interventions (MHPSS) for forcibly displaced Ukrainians in Central and Eastern Europe poses numerous challenges due to various socio-cultural and infrastructural factors. This qualitative study explored implementation barriers reported by service providers of in-person and digital MHPSS for Ukrainian refugees displaced to Poland, Romania and Slovakia due to the war. In addition, the study aimed to generate recommendations to overcome these barriers. Semi-structured Free List and Key Informant interviews were conducted using the Design, Implementation, Monitoring and Evaluation protocol with 18 and 13 service providers, respectively. For in-person interventions, barriers included stigma, language, shortage of MHPSS providers, lack of financial aid and general lack of trust among refugees. For digital MHPSS, barriers included generational obstacles, lack of therapeutic relationships, trust issues, and lack of awareness. Recommendations included advancing public health strategies, organizational interventions, building technical literacy and support, enhancing the credibility of digital interventions and incorporating MHPSS into usual practice. By implementing the recommendations proposed in this study, policymakers, organizations and service providers can work towards enhancing the delivery of MHPSS and addressing the mental health needs of Ukrainian refugees in host countries, such as Poland, Romania and Slovakia.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
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.
Copyright
© The Author(s), 2024. Published by Cambridge University Press
Figure 0

Figure 1. Study flow chart according to the DIME protocol.

Figure 1

Table 1. Sample characteristics

Figure 2

Table 2. Frequency of implementation barriers reported during the FL interviews

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Author comment: Assessing local service providers’ needs for scaling up MHPSS interventions for Ukrainian refugees: Insights from Poland, Slovakia, and Romania — R0/PR1

Comments

Verona, May 31, 2024

To the Editor of PRISMS Global Mental Health

Dear Editor,

We would like to submit the manuscript titled: “Assessing Local Service Providers' Needs for Scaling up MHPSS Interventions for Ukrainian Refugees: Insights from Poland, Slovakia, and Romania”.

The paper describes the results of a qualitative study conducted within an EU funded project (U-RISE, grant agreement 101101495). This qualitative study explored implementation barriers reported by service providers of in-person and digital mental health and psychosocial support interventions for Ukrainian refugees resettled in Poland, Romania, and Slovakia due to war. Additionally, the study aimed to generate recommendations to overcome these barriers. Semi-structured Free List and Key Informant interviews were conducted using the Design, Implementation, Monitoring, and Evaluation protocol. We identified barriers such as stigma, language, shortage of MHPSS providers, lack of financial aid, and general lack of trust among refugees. Recommendations encompassed policy-level interventions, organizational strategies, and individual provider actions.

We feel that the paper describes a topic which is particularly relevant (and requires urgent action) in global mental health. Because we targeted a war-exposed vulnerable population group, recommendations and conclusions from our study could be of interest for scholars of other disciplines and policy makers, thus potentially exportable to other fields.

Looking forward to hearing from you soon,

Yours sincerely,

Marianna Purgato, PsyD, PhD

Assistant Professor in Applied Medical Technology and Methodology,

WHO Collaborating Centre for Research and Training in Mental Health and Service Evaluation, Cochrane Global Mental Health, Department of Neuroscience, Biomedicine, and Movement Sciences, Section of Psychiatry, University of Verona

Recommendation: Assessing local service providers’ needs for scaling up MHPSS interventions for Ukrainian refugees: Insights from Poland, Slovakia, and Romania — R0/PR2

Comments

No accompanying comment.

Decision: Assessing local service providers’ needs for scaling up MHPSS interventions for Ukrainian refugees: Insights from Poland, Slovakia, and Romania — R0/PR3

Comments

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Author comment: Assessing local service providers’ needs for scaling up MHPSS interventions for Ukrainian refugees: Insights from Poland, Slovakia, and Romania — R1/PR4

Comments

Verona, 27-08-2024

To the Editor of PRISMS Global Mental Health

Dear Editor,

We would like to thank You, the Editorial Office and the Reviewers for the insightful comments and suggestions for improving our study titled: “Assessing Local Service Providers' Needs for Scaling up MHPSS Interventions for Ukrainian Refugees: Insights from Poland, Slovakia, and Romania”.

Our point-by-point replies to the Reviewers are presented below.

For your convenience, we refer to the pages of the manuscript to indicate the textual changes that have been incorporated into the manuscript as tracked changes. We have also italicized our text changes below.

Looking forward to hearing from you soon,

Yours sincerely,

Marianna Purgato, PsyD, PhD

Associate Professor in Applied Medical Technology and Methodology,

WHO Collaborating Centre for Research and Training in Mental Health and Service Evaluation, Cochrane Global Mental Health, Department of Neuroscience, Biomedicine, and Movement Sciences, Section of Psychiatry, University of Verona

Editorial Office Comments (EO)

Please also ensure your manuscript complies with the following formatting points (a copy of our author guidelines is included for reference):

EO1 Please include the abstract in the main text document.

Response to EO1: The abstract has been incorporated into the main text document. It can be found on page 1 of the manuscript.

EO2 Please include an Impact Statement below the abstract (max. 300 words). This must not be a repetition of the abstract but a plain worded summary of the wider impact of the article.

Response to EO2: An Impact Statement is included in the manuscript, after the abstract. It is on pages 1 and 2 of the manuscript and contains 163 words. This Impact Statement aims to summarize the broader implications of our research, focusing on its potential effects on healthcare systems and local policymakers in implementing mental health and psychosocial support (MHPSS) interventions. We have ensured that the statement is distinct from the abstract and addresses the wider impact of the study, as requested.

EO3: Submission of graphical abstracts is encouraged for all articles to help promote their impact online. A Graphical Abstract is a single image that summarises the main findings of a paper, allowing readers to quickly gain an overview and understanding of your work. Ideally, the graphical abstract should be created independently of the figures already in the paper, but it could include a (simplified version of) an existing figure or a combination thereof. Graphical abstracts should not be too text-heavy, in order to be easily viewable at thumbnail size. If you do not wish to include a graphical abstract please let me know.

Response to EO3: Thank you for the suggestion. We appreciate the encouragement to enhance the impact of our article. We added a graphical abstract.

EO4: Please ensure references are correctly formatted. In text citations should follow the author and year style. When an article cited has three or more authors the style ‘Smith et al. 2013’ should be used on all occasions. At the end of the article, references should first be listed alphabetically, with a full title of each article, and the first and last pages. Journal titles should be given in full.

Response to EO4: Thank you for your feedback. We have updated the manuscript to align with the formatting guidelines in the GMH Author Guide.

E05: Statements of the following are required in the main text document at the end of all articles: ‘Author Contribution Statement’, ‘Financial Support’, ‘Conflict of Interest Statement’, ‘Ethics statement’ (if appropriate), ‘Data Availability Statement’. Please see the author guidelines for further information.

Response to EO5: The required statements—’Author Contribution Statement‘, ’Financial Support‘, ’Conflict of Interest Statement‘, ’Ethics Statement‘ and ’Data Availability Statement‘— are included at the end of the manuscript file. Following your suggestions, we have updated the order of these sections to align with the journal’s guidelines. We have modified the title ’Competing Interest‘ to ’Conflict of Interest Statement‘. Additionally, we have added the term ’Statement' to the section titles where it was missing.

E06: Please submit figures as separate files and please ensure all files are submitted in an editable electronic format.

Response to EO6: Done, thank you.

Reviewer(s)' Comments to Author:

Reviewer: 1 (R#1)

R#1.1This study addresses the important topic of mental health service providers' needs for scaling up MHPSS Interventions for Ukrainian refugees Poland, Slovakia, and Romania. The paper is well designed and conceptualised, well conducted (despite the limitation noted below), and extremely nicely written. The findings and recommendations are very clear and specific.

Response to R#1.1: We thank the Reviewer for this encouraging comment, and for having taken the time to assess our manuscript. We provide our responses to each point below.

R#1.2 The principal limitation is the small number of Free List interviews (=18) and Key Informant Interviews (N=13). I appreciate this is a qualitative study but this is a very small number of respondents given the study is across three countries. For example, the authors used maximum variation sampling but how diverse can the respondents be if there were only six per country? As a result, it risks capturing only a limited number of perspectives. It also means the findings and recommendations are generalised across the three countries, rather than responding to their particularly health system and policy characteristics within each country. The authors should acknowledge this limitation in the Limitations section. Despite this principal limitation, the findings (particularly the Annexes) are of value for policymakers seeking to strengthen MHPSS for Ukrainian refugees in Poland, Slovakia, and Romania.

Response to R#1.2: Thank you for raising this important methodological issue. We added the following sentence in the Limitation part of the Discussion (page 23): “Although the number of participants in our study is consistent with the practical guidance reported in the literature (Guest et al., 2006; WHO and UNHCR, 2012, Keddem et al., 2021), and with other qualitative studies conducted in the field of global mental health (Atiq et al., 2024; Elnasseh et al., 2024), the overall number of study participants was limited. Therefore our findings and recommendations should be interpreted with caution, as they cover different countries with potential differences in the implementation and delivery of mental health services.”

Reviewer: 2

R#2.1 This is an interesting and very-well written paper about the perceptions of mental health interventions among Ukrainian refugees.

I have no comments regarding the methods,however data interpretation could be somewhat strengthened. In particular, it may be relevant to discuss the ways in which the findings obtained in this population vary from other refugee or similar groups that have also been invited to use similar mental health programs. Among Ukraininan refugees, are there differences across different countries?

Response to R#2.1: To address this comment, we added the following sentence in the Discussion, after the comparison of our findings with those from the scientific literature (page 20):

“Another important consideration relates to the potential differences in the prevalence of mental disorders and access to mental health services within the group of Ukrainian refugees. At this regard, epidemiological data on war-exposed adolescent Ukrainian refugees show increased levels of moderate to severe depression, anxiety, and clinically relevant psychological trauma (Goto et al., 2024). This confirms a substantial burden in refugee populations of different age ranges, and a consequent need for investment in mental health care. In Poland, Slovakia, and Romania, healthcare services are provided free of charge to refugees, covering both primary and emergency care. Furthermore, the IOM has been actively engaged in these countries, implementing comprehensive programs to address the diverse health needs of Ukrainian refugees. These efforts by the IOM include not only medical assistance but also support in areas such as mental health, housing, (psycho)education, and social integration. This ensures that Ukrainian refugees receive the care and resources necessary for their health across countries and successful adaptation in their host communities (IOM, 2024).”

R#2.2 Additionally, it would be good to describe ways in which mental health literacy could be improved in this population.

Response to R#2.2: We added a description of possible ways in which mental health literacy could be improved in this population (Discussion, pages 22-23): “These strategies have also been cited as means for improving mental health literacy and social connectedness among refugees (Ekblad et al., 2024). For example, potential protective factors may be social support through communication (e.g., phone, WhatsApp, email, and video calls) with significant persons who are separated. Another protective factor may be the increase in refugees’ perceived health and mental health literacy through the participatory approach (Leask et al., 2019). To work with the topic of healthy communication in the field demands knowledge and experience, and this is supported by the WHO statement that “addressing these determinants and enhancing the health of migrants, refugees and other displaced populations are essential goals for global health and sustainable development (WHO, 2023a)”.

R#2.3 Finally, it is not surprising that the study mainly includes women, as men are underrepresented among Ukrainian refugees and they may not be a key target population at this point. Regarding age differences, it would be relevant to discuss the specific age groups that may have difficulty using digital programs.

Response to R#2.3: Even though we could not collect sufficient data to identify specific age groups that may have difficulty using digital programs, we added this consideration to the discussion. We based our statement on the scientific literature, and we feel this is relevant as also study participants highlighted that “The elderly population might have difficulties accessing digital interventions, given their lack of knowledge on how to use technology […] Older people do not have access to appropriate devices, and they do not have the technical abilities to use them”.

The added sentence reads as follows (page 22): “Furthermore, while digital interventions are becoming important and popular globally, there exists a significant risk that older people are left behind. Older people often face challenges in adapting to new technologies, so they may encounter barriers that limit their access to digital interventions. This is particularly relevant for the refugee population. This could exacerbate existing healthcare inequalities, leaving older refugee populations at a distinct disadvantage in receiving timely and effective psychosocial support. Ensuring inclusivity in the adoption of digital health solutions is crucial to prevent further marginalization of refugee older adults, and to promote equitable healthcare access for all (Hollis et al., 2015; Seifert et al., 2019).”

Reviewer: 3

This manuscript presents a qualitative evaluation of service provider perspectives on the challenges associated with delivering MHPSS via digital and in-person modalities. The following critical feedback relate to the methodology used to design and conduct thematic analyses, implementation science frameworks to deduce meaning from the data and subsequent recommendations. You can refer to standardised guidance published from implementation science research (e.g., Saunders et al.; BMJ 2023; STARI statement on standards for reporting implementation studies statement) for further structured guidance on the stated feedback below.

Response of the authors: we are grateful to the Reviewer for having assessed our manuscript, and for providing important comments. We have responded below to each of them.

R#3.1 Recruitment and data collection: Can you further justify the final sample size in terms of your approach to reaching data saturation? Data saturation is the foundation of qualitative research. It would be helpful for the readers to know how saturation was reached at each stage of the data synthesis (e.g., reading or summarising of interview data, generation of codes and construction of themes).

Response to R#3.1: We thank the Reviewer for this comment, and we added the following paragraph to expand the methodology (Page 8): “The interviews were conducted as follows. First, the interviewer asked participants to list as many problems as they could think of and provide a short description of each problem they identified, according to the DIME protocol. Participants were then repeatedly probed to list as many responses as possible until data saturation, where they indicated they could think of no more, or they thought that new data would have repeated what was already mentioned (thematic saturation) (Guest et al., 2006; Kerr et al., 2010). […] The interviewers collated all interviews, and consolidated all data into a single list of responses for each FL question, including the number of different participants reporting each response (code frequency counts to reach saturation) (Morse et al., 1995; Guest et al., 2006; Hennink et al., 2017). The interviewers and the researchers conducted this process. The interviewers listed all responses from the interview forms, placing the participant ID number next to the response. If more than one person reported the same problem, all the relevant ID numbers were listed next to the response. If two or more participants referred to the same concept with different wording, the research team selected and recorded the wording they judged as most accurate and most likely to be understood by a member of the target population.

Moreover, in response to R#1.2 we added a sentence in the Discussion to acknowledge the small sample size as a potential limitation of our study.

R#3.2 Provider characteristics: It would help the reader to contextualise provider perspectives within the context of recency of experience in delivering psychosocial programs to the target beneficiaries. For example, when evaluating provider perspectives on specific challenges that come with delivering psychosocial programs to the target group, it is particularly important to purposefully sample participants who have experienced psychosocial programs through their work (e.g., have been seeing/working closely with patients). Please provide brief details on this. Additionally, did any of the providers who were contacted decline to participate in the interviews. If so, could you provide details on reason for non-response.

Response to R#3.2: We contextualized providers’ perspective and characteristics adding the following sentence (page 6): “All of them had practical experience in delivering psychosocial support programs to Ukrainian refugees. They had daily experience in the field of migration, helping traumatized people to cope with demanding situations, such as social isolation, job loss, trauma exposure, and psychological suffering. Additionally, individuals associated with governmental or non-governmental organizations (NGOs) with a mission on mental health, social inclusion, and education, and with experience coordinating psychosocial interventions for refugees were included in the study.”

Please note that this study is funded by the European Commission through a collaborative grant, with NGOs from countries bordering Ukraine serving as formal partners. This collaboration enabled us to engage participants with substantial and direct expertise in providing MPHSS to Ukrainian refugees.

Additionally, all the service providers we approached were pre-informed about the study by their respective NGOs, and agreed to participate. They were made aware that the study is part of a broader EU project (U-RISE) as outlined in the grant agreement.

R#3.3 Methodology and analyses: Could you please elaborate on the specific type of thematic analyses used in the current study. Was it inductive, deductive or a combination? Please clarify. When implementation frameworks are chosen at the outset, it is common practice to use a combination of inductive and deductive coding to synthesise the data. This means both having both data-driven and theory-driven themes/constructs. Please justify your decisions here.

Response to R#3.3: These comments and questions helped to strengthen the methods. To respond, we edited the manuscript as follows:

1) we split the paragraph on procedures and data analysis, dedicating a specific section to each of them;

2) we expanded both paragraphs adding the following text (to the text already reported, which has been slightly adapted):

Procedure (pages 8, 9 and 10): Free List Interviews

“The interviews were conducted as follows. First, the interviewer asked participants to list as many problems as they could think of and provide a short description of each problem they identified, according to the DIME protocol. Participants were then repeatedly probed to list as many responses as possible until data saturation, where they indicated they could think of no more, or they thought that new data would have repeated what was already mentioned (thematic saturation) (Guest et al., 2006; Kerr et al., 2010). At the end of the interview, the interviewer asked the participants to think of someone knowledgeable of the problems they mentioned for the KI interviews.

In the analysis participants' responses were organized into a coherent list of barriers for each question, including the total number of individual interviews reporting each barrier. The interviewers collated all interviews, and consolidated all data into a single list of responses for each FL question, including the number of different participants reporting each response (code frequency counts to reach saturation) (Morse, 1995; Guest et al., 2006; Hennink et al., 2017). The interviewers and the researchers conducted this process. The interviewers listed all the different responses from the interview forms, placing the participant ID number next to the response. If more than one person reported the same problem, all the relevant ID numbers were listed next to the response. If two or more participants referred to the same concept with different wording, the research team selected and recorded the wording they judged as most accurate and most likely to be understood by a member of the target population”.

This list was subsequently reorganized based on the response frequency mentioned above”.

Data analysis (pages 10 and 11):

“The data collection and analysis process employed various credibility strategies to ensure methodological integrity. These strategies included: methodological and investigator triangulation (FL and KI interviews, and participation in the study of a group of researchers with different backgrounds); documenting decision-making processes in an audit trail, in which all the recorded research phases and activities were verified and discussed in small-group meetings with experienced researchers (RMT, GT, MP); and supervising the data analysis process with guidance from experienced researchers (MP, CB, GT, RMT). [...] For the thematic analysis, we used a hybrid deductive/ inductive thematic analysis approach (Naeem et al., 2023). We used an open and inductive strategy for theme and recommendation generation, which were directly elaborated by study participants. At the same time, a theory-informed deductive application of themes to two existing frameworks was applied. The frameworks were identified in the literature as relevant for MHPSS implementation to vulnerable population groups (i.e, the socio-ecological model of Brofenbrenner and the implementation model of Proctor) (Bronfenbrenner, 1979; Proctor et al., 2023) and thoroughly discussed within the research team. This analytical approach aligns with those of other qualitative studies in this field (Morse, 1995; Hennink et al., 2017; Mediavilla et al., 2022)”.

R#3.4 Methodology and analyses: Can you justify choice of implementation frameworks and how the data were analysed within these frameworks. For example, it is common practice to develop an apriori coding manual that is then iteratively revised in a data-driven manner until a final coding manual is derived (i.e., reaching saturation). In the methods section you state “The data collection and analysis process employed various credibility strategies to ensure methodological integrity, including triangulation, documenting decision-making processes in audit trail, and supervising the data analysis process with guidance from experienced researchers”. Please elaborate further on methods used to ensure independent coding, and how any discrepancies and/or disagreements were resolved. The current manuscript would benefit from more details regarding the exact nature of the analyses used.

Response to R#3.4: In order to justify the choice of the theoretical frameworks we added the following sentences in the Procedure paragraph (page 9): “The choice of these specific theoretical frameworks is based on the following rationale. The socio-ecological framework of Brofenbrenner is particularly important for understanding the experiences of refugees, because it provides a comprehensive framework for examining the multiple layers of environmental influences that impact their lives, from the microsystem to the chronosystem. This holistic perspective is essential for refugee integration programs, as it underscores the need for multi-level interventions that address not just individual needs but also the broader social, economic, and political contexts in which refugees are resettled (IASC, 2007). The implementation model of Proctor represents a natural subsequent step because it offers a structured approach to ensuring that MHPSS can be effectively delivered and sustained. In the data analysis we linked the collected responses to the key components of these methodological frameworks.”

In addition, and to respond to the second part of this comment, we added the following text in the Data analysis paragraph (page 10): “For data analysis, we used a combined consensus and split coding. Researchers worked independently in coding the transcripts (MBB, GT, BC), with regular weekly meetings with expert researchers (MP, CB) to cross-check the coding schemes and review and discuss any questions. Transcripts were compared on a one-to-one basis for the first round to ensure full alignment and reach a consensus. Then, we split coding keeping the regular weekly meetings for discussion.”

R#3.5 Reporting: The quantification of themes in Table 2 should be cautioned as quantification of purely thematic data is generally undesirable. As some respondents may tend to share certain information that others don’t based on how conversations in semi-structured interviews evolve, quantification gives readers the false impression that inferences can be generalised outside the specific sample. If you still deem this quantification methodologically valid and sound, please provide information on use standardized interview techniques (e.g., open-ended questions, probing questions designed to elicit construct specific information) that you may have used to elucidate consistent questioning across respondents.

Response to R#3.5: We understand the Reviewer’s concern, and we recognize the importance of being cautious in quantifying thematic data. However, we would prefer to keep the frequency data reported in Table 2 as they align with Module 1 of the DIME guidelines, which are specifically focused on MHPSS for traumatized individuals. We added the requested methodological information in response to the previous comments above.

R#3.6 In the appendices Tables 2S and 4S you map Proctor’s implementation outcomes and causes to themes obtained from your data. Could you elaborate on the logic pathway used to derive these causes from the data? Again, as a reader, it is helpful to understand how authors arrived at linking varying causes with themes and implementation outcomes.

Response to R#3.6: The logic pathway is mainly related to how specific barriers can impact the various implementation outcomes of Proctor’s model. Each outcome of the implementation model relates to different types of barriers. Understanding if and how these barriers specifically affect the implementation process helps to develop strategies to overcome them. The links reported in the appendix have been established in small-group meetings with expert researchers. We added the following sentence in the Appendix, page 9:

“The logic pathway to link responses to the theoretical framework reported here and in Table 4S relates to the impact of the specific responses on implementation outcomes and on the social and psychological effects according to the socio-ecological model. Links have been established based on the literature in small-group meetings with expert researchers of this authors’ team.”

R#3.7 In summary, I believe this study represents an important step towards to understanding implementation problems from the perspective of those at the front-line. To this end the rationale for choosing service providers as your target group is sound. The use of Implementation science methodology to understand challenges of MHPSS dissemination and scale-up is timely in advancing the field. As such, I encourage the authors to demonstrate how they achieved valid and reliable data and be transparent in reporting this for prospective readers. To this end, I agree with the authors’ statement that qualitative research provides valuable lived experience data (lines 26-31). This not inherently a limitation of your study. It can be argued that when conducted properly and with strict standardisation, it allows for generalisability for those who wish to replicate and extend these important research questions from the current study.

Response to R#3.7: We would like to thank again the Reviewer for these constructive comments and suggestions, which helped to improve the clarity and transparency of our manuscript.

Recommendation: Assessing local service providers’ needs for scaling up MHPSS interventions for Ukrainian refugees: Insights from Poland, Slovakia, and Romania — R1/PR5

Comments

No accompanying comment.

Decision: Assessing local service providers’ needs for scaling up MHPSS interventions for Ukrainian refugees: Insights from Poland, Slovakia, and Romania — R1/PR6

Comments

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