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      ‘We do not talk about it’: Engaging youth in Malawi to inform adaptation of a mental health literacy intervention

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          Abstract

          Purpose

          There is limited knowledge on how to tackle mental health problems among youth in Africa. Literature describing community engagement (CE) approaches in low/middle-income countries (LMICs) health research is sparse. CE with youth from LMICS can help steer and shape culturally relevant interventions for stigmatised topics like mental health, resulting in better healthcare experiences. We share our experience of engaging youth in Malawi through advocacy organisations to inform cultural adaptation of a mental health literacy intervention.

          Methods

          Young people were recruited using social media from universities and community youth organisations in Malawi to participate in focus group discussions to help culturally adapt content of an existing mental health literacy intervention. Nine online focus groups with 44 individuals were conducted. Discussions involved views and experiences of mental health, including impact of the coronavirus pandemic. Discussions were recorded, transcribed verbatim and analysed using content analysis.

          Results

          Transcript analyses revealed a vicious cycle of poverty and mental health problems for youth in Malawi. Four key themes were identified, 1) poverty-related socioeconomic and health challenges, 2) no one talks about mental health, 3) lacking mental health support and 4) relationship issues. These themes fed into one another within this vicious cycle which perpetually and negatively impacted their lives. The coronavirus pandemic worsened socioeconomic issues, health challenges, mental health and substance use issues, and burden on Malawi’s already weak mental health system.

          Conclusion

          Findings suggest increasing untreated mental health burden among Malawi’s youth. It highlights great need to address mental health literacy using existing community structures like educational settings to minimise burden on a weak health system. Online focus groups are an effective way of acquiring views from various young people in Malawi on mental health. This CE approach has grown our stakeholder network, strengthening potential for future CE activities and broader research dissemination.

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          Most cited references32

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          Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups.

          Qualitative research explores complex phenomena encountered by clinicians, health care providers, policy makers and consumers. Although partial checklists are available, no consolidated reporting framework exists for any type of qualitative design. To develop a checklist for explicit and comprehensive reporting of qualitative studies (in depth interviews and focus groups). We performed a comprehensive search in Cochrane and Campbell Protocols, Medline, CINAHL, systematic reviews of qualitative studies, author or reviewer guidelines of major medical journals and reference lists of relevant publications for existing checklists used to assess qualitative studies. Seventy-six items from 22 checklists were compiled into a comprehensive list. All items were grouped into three domains: (i) research team and reflexivity, (ii) study design and (iii) data analysis and reporting. Duplicate items and those that were ambiguous, too broadly defined and impractical to assess were removed. Items most frequently included in the checklists related to sampling method, setting for data collection, method of data collection, respondent validation of findings, method of recording data, description of the derivation of themes and inclusion of supporting quotations. We grouped all items into three domains: (i) research team and reflexivity, (ii) study design and (iii) data analysis and reporting. The criteria included in COREQ, a 32-item checklist, can help researchers to report important aspects of the research team, study methods, context of the study, findings, analysis and interpretations.
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            Qualitative content analysis in nursing research: concepts, procedures and measures to achieve trustworthiness.

            Qualitative content analysis as described in published literature shows conflicting opinions and unsolved issues regarding meaning and use of concepts, procedures and interpretation. This paper provides an overview of important concepts (manifest and latent content, unit of analysis, meaning unit, condensation, abstraction, content area, code, category and theme) related to qualitative content analysis; illustrates the use of concepts related to the research procedure; and proposes measures to achieve trustworthiness (credibility, dependability and transferability) throughout the steps of the research procedure. Interpretation in qualitative content analysis is discussed in light of Watzlawick et al.'s [Pragmatics of Human Communication. A Study of Interactional Patterns, Pathologies and Paradoxes. W.W. Norton & Company, New York, London] theory of communication.
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              Content analysis and thematic analysis: Implications for conducting a qualitative descriptive study.

              Qualitative content analysis and thematic analysis are two commonly used approaches in data analysis of nursing research, but boundaries between the two have not been clearly specified. In other words, they are being used interchangeably and it seems difficult for the researcher to choose between them. In this respect, this paper describes and discusses the boundaries between qualitative content analysis and thematic analysis and presents implications to improve the consistency between the purpose of related studies and the method of data analyses. This is a discussion paper, comprising an analytical overview and discussion of the definitions, aims, philosophical background, data gathering, and analysis of content analysis and thematic analysis, and addressing their methodological subtleties. It is concluded that in spite of many similarities between the approaches, including cutting across data and searching for patterns and themes, their main difference lies in the opportunity for quantification of data. It means that measuring the frequency of different categories and themes is possible in content analysis with caution as a proxy for significance. © 2013 Wiley Publishing Asia Pty Ltd.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: SoftwareRole: SupervisionRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: InvestigationRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                29 March 2022
                2022
                : 17
                : 3
                : e0265530
                Affiliations
                [1 ] Centre for Evaluation and Methods, Wolfson Institute of Population Health, Queen Mary University of London, London, United Kingdom
                [2 ] Millennium University, Blantyre, Malawi
                [3 ] The National Youth Council of Malawi, Lilongwe, Malawi
                [4 ] Drug Fight Malawi, Lilongwe, Malawi
                Polytechnic Institute of Coimbra: Instituto Politecnico de Coimbra, PORTUGAL
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-6624-1689
                Article
                PONE-D-21-29945
                10.1371/journal.pone.0265530
                8963557
                35349575
                0c337df6-7592-40b4-8eee-c0c48ebed5bf
                © 2022 Jumbe et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 16 September 2021
                : 3 March 2022
                Page count
                Figures: 2, Tables: 3, Pages: 23
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100009148, Queen Mary University of London;
                Award Recipient :
                SJ was awarded funding from the Global Challenges Research Fund Large Grants Scheme from Queen Mary University of London to conduct this research. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Mental Health and Psychiatry
                People and Places
                Geographical Locations
                Africa
                Malawi
                Medicine and Health Sciences
                Health Care
                Socioeconomic Aspects of Health
                Medicine and Health Sciences
                Public and Occupational Health
                Socioeconomic Aspects of Health
                Medicine and Health Sciences
                Medical Conditions
                Infectious Diseases
                Viral Diseases
                Covid 19
                Medicine and Health Sciences
                Health Care
                Health Education and Awareness
                Social Sciences
                Sociology
                Education
                Schools
                Social Sciences
                Sociology
                Communications
                Social Communication
                Social Media
                Computer and Information Sciences
                Network Analysis
                Social Networks
                Social Media
                Social Sciences
                Sociology
                Social Networks
                Social Media
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Mood Disorders
                Depression
                Custom metadata
                All relevant data are within the paper and its Supporting information files.

                Uncategorized
                Uncategorized

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