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      “Must you make an app?” A qualitative exploration of socio-technical challenges and opportunities for designing digital maternal and child health solutions in Soweto, South Africa

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          Abstract

          Participatory and digital health approaches have the potential to create solutions to health issues and related inequalities. A project called Co-Designing Community-based ICTs Interventions for Maternal and Child Health in South Africa (CoMaCH) is exploring such solutions in four different sites across South Africa. The present study captures initial qualitative research that was carried out in one of the urban research sites in Soweto. The aim was twofold: 1) to develop a situation analysis of existing services and the practices and preferences of intended end-users, and 2) to explore barriers and facilitators to utilising digital health for community-based solutions to maternal and child health from multiple perspectives. Semi-structured interviews were conducted with 28 participants, including mothers, other caregivers and community health workers. Four themes were developed using a framework method approach to thematic analysis: coping as a parent is a priority; existing services and initiatives lack consistency, coverage and effective communication; the promise of technology is limited by cost, accessibility and crime; and, information is key but difficult to navigate. Solutions proposed by participants included various digital-based and non-digital channels for accessing reliable health information or education; community engagement events and social support; and, community organisations and initiatives such as saving schemes or community gardens. This initial qualitative study informs later co-design phases, and raises ethical and practical questions about participatory intervention development, including the flexibility of researcher-driven endeavours to accommodate community views, and the limits of digital health solutions vis-à-vis material needs and structural barriers to health and wellbeing.

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          Standards for reporting qualitative research: a synthesis of recommendations.

          Standards for reporting exist for many types of quantitative research, but currently none exist for the broad spectrum of qualitative research. The purpose of the present study was to formulate and define standards for reporting qualitative research while preserving the requisite flexibility to accommodate various paradigms, approaches, and methods.
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            Using the framework method for the analysis of qualitative data in multi-disciplinary health research

            Background The Framework Method is becoming an increasingly popular approach to the management and analysis of qualitative data in health research. However, there is confusion about its potential application and limitations. Discussion The article discusses when it is appropriate to adopt the Framework Method and explains the procedure for using it in multi-disciplinary health research teams, or those that involve clinicians, patients and lay people. The stages of the method are illustrated using examples from a published study. Summary Used effectively, with the leadership of an experienced qualitative researcher, the Framework Method is a systematic and flexible approach to analysing qualitative data and is appropriate for use in research teams even where not all members have previous experience of conducting qualitative research.
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              The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions.

              CONSORT guidelines call for precise reporting of behavior change interventions: we need rigorous methods of characterizing active content of interventions with precision and specificity. The objective of this study is to develop an extensive, consensually agreed hierarchically structured taxonomy of techniques [behavior change techniques (BCTs)] used in behavior change interventions. In a Delphi-type exercise, 14 experts rated labels and definitions of 124 BCTs from six published classification systems. Another 18 experts grouped BCTs according to similarity of active ingredients in an open-sort task. Inter-rater agreement amongst six researchers coding 85 intervention descriptions by BCTs was assessed. This resulted in 93 BCTs clustered into 16 groups. Of the 26 BCTs occurring at least five times, 23 had adjusted kappas of 0.60 or above. "BCT taxonomy v1," an extensive taxonomy of 93 consensually agreed, distinct BCTs, offers a step change as a method for specifying interventions, but we anticipate further development and evaluation based on international, interdisciplinary consensus.
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                Author and article information

                Contributors
                Role: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: InvestigationRole: Project administrationRole: ValidationRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: InvestigationRole: Project administrationRole: ValidationRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: InvestigationRole: Project administrationRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: ResourcesRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: ResourcesRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: ResourcesRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLOS Glob Public Health
                PLOS Glob Public Health
                plos
                PLOS Global Public Health
                Public Library of Science (San Francisco, CA USA )
                2767-3375
                5 December 2022
                2022
                : 2
                : 12
                : e0001280
                Affiliations
                [1 ] SAMRC/Wits Developmental Pathways for Health Research Unit (DPHRU), Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
                [2 ] School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom
                [3 ] Department of Computer Science, University of Cape Town, Cape Town, South Africa
                [4 ] Global Health Research Institute, School of Human Development and Health, University of Southampton, Southampton, United Kingdom
                University of California San Francisco, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                ¶ Membership of the CoMaCH network is mentioned in the Acknowledgments.

                Author information
                https://orcid.org/0000-0002-9330-7102
                Article
                PGPH-D-22-01244
                10.1371/journal.pgph.0001280
                10021787
                36962834
                d1a254f0-14b3-4a08-b22c-5a067d89a0bd
                © 2022 Klingberg 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
                : 27 July 2022
                : 21 October 2022
                Page count
                Figures: 1, Tables: 1, Pages: 17
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100014013, UK Research and Innovation;
                Award ID: EP/T030429/1
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100014013, UK Research and Innovation;
                Award ID: EP/T030429/1
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100005781, Koneen Säätiö;
                Award ID: 201901846
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100005781, Koneen Säätiö;
                Award ID: 202105895
                Award Recipient :
                Funded by: DSI-NRF Centre of Excellence in Human Development (ZA)
                Award Recipient :
                Funded by: The Welsh Government
                Award ID: Centre for Artificial Intelligence, Robotics and Human-Machine Systems (IROHMS) operation C82092
                Award Recipient :
                This study was funded by the UKRI GCRF Digital Innovation for Development in Africa awards (EP/T030429/1 to MD and NV), Kone Foundation (201901846 and 202105895 to SK), DSI-NRF Centre of Excellence in Human Development at the University of the Witwatersrand (SAN), and Cardiff University’s Centre for Artificial Intelligence, Robotics and Human-Machine Systems operation, part-funded by the European Regional Development Fund through the Welsh Government (C82092 to NV). 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
                Pediatrics
                Child Health
                Medicine and Health Sciences
                Public and Occupational Health
                Child Health
                Medicine and Health Sciences
                Health Care
                Caregivers
                Research and Analysis Methods
                Research Design
                Qualitative Studies
                Medicine and Health Sciences
                Public and Occupational Health
                Behavioral and Social Aspects of Health
                People and Places
                Population Groupings
                Families
                Mothers
                Medicine and Health Sciences
                Women's Health
                Maternal Health
                Pregnancy
                Medicine and Health Sciences
                Women's Health
                Obstetrics and Gynecology
                Pregnancy
                Computer and Information Sciences
                Computer Networks
                Internet
                Medicine and Health Sciences
                Health Care
                Health Education and Awareness
                Custom metadata
                All data supporting our work are provided within the manuscript.

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