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Data for whom? Experiences and perceptions of a perinatal eRegistry in two hospitals in Mtwara region, Tanzania

Datos Bibliográficos

ID21879095
AutoresJil Molenaar (0000-0002-4154-6478, University of Antwerp), Amani Kikula (0000-0002-1130-9279, Muhimbili University of Health and Allied Sciences), Yusufu Kionga (Ifakara Health Institute), Hassan Tearish Berenge (Ifakara Health Institute), Lenka Beňová (0000-0001-8595-365X, Instituut voor Tropische Geneeskunde), J Van Olmen (0000-0001-9724-1887, University of Antwerp), Claudia Hanson (0000-0001-8066-7873, Karolinska Institutet), Muzdalifat Abeid (0000-0001-6196-168X, Aga Khan University), Andrea Pembe (0000-0002-8090-3298, Muhimbili University of Health and Allied Sciences)
Año2024
Volumen9
Número11
Páginase016765
Fecha de publicación2024-11-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaBMJ Global Health (JOURNAL)
Identificadores de la revistaISSN: 2059-7908 • E-ISSN: 2059-7908
EditorialBMJ (PUBLISHER • GB)
DOI10.1136/bmjgh-2024-016765
PMID39572051
OpenAlexW4404603826
IdiomaEN
Citas recibidas3
Referencias citadas31

INTRODUCTION: Digital data systems have the potential to improve data quality and provide individual-level information to understand gaps in the quality of care. This study explored experiences and perceptions of a perinatal eRegistry in two hospitals in Mtwara region, Tanzania. Drawing from realist evaluation and systems thinking, we go beyond a descriptive account of stakeholders' experiences and provide insight into key structural drivers and underlying social paradigms. METHODS: We carried out 6 weeks of focused ethnographic observations at the labour wards of the two hospitals and 29 semi-structured qualitative interviews with labour ward staff, as well as with administrative and managerial stakeholders at hospital, district and regional levels. Multi-stage reflexive thematic data analysis was carried out. RESULTS: We provide an in-depth account of the day-to-day functioning of the eRegistry in the two hospitals, including both aspects of positive change and key challenges with its integration into routine documentation duties. Experiences with and perceptions of the eRegistry were inextricably linked to broader systemic constraints relating to staffing, workload and infrastructure. A key underlying theme shaping the way people engaged with the eRegistry was the notion of data ownership: the presence or absence of a feeling of being responsible, involved and in control of data. CONCLUSION: Some of the key systemic challenges in recording accurate, timely information about women and their babies are not solved by digital tools. Our findings also underline that when healthcare workers feel that data are not primarily for them, they document only for reporting purposes. The eRegistry increased a sense of data ownership among the nurse-midwives directly involved with data entry, but the potential for promoting and supporting data use feedback loops for improvement in care provision remained largely untapped. Our findings highlight the importance of local relevance and ownership in digitisation of routine health information systems

Documentation · Health care · Management · Perception · Political science · Public relations · Qualitative research · Reflexivity · Sociology · Staffing · Tanzania · Thematic analysis · Workload · Electronic Health Records Systems · Global Maternal and Child Health · Medicine · Mobile Health and mHealth Applications · Nursing · Psychology

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    Open Access•Maria Del Rosario Alsina, Aliki Christou et al.•Global Health Action•2026

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    Open Access•Jil Molenaar, Amani Kikula et al.•Health Policy and Planning•2026

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    Open Access•Jil Molenaar, Amani Kikula et al.•Social Science & Medicine•2025

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  • Theory and Realist Methods

    Bruno Marchal, Guy Kegels et al.•Doing Realist Research•2018

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    Open Access•D Lupton•Societies•2014

  • One size fits all? What counts as quality practice in (reflexive) thematic analysis

    Braun, Victoria Clarke•Qualitative Research in Psychology•2020

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    Open Access•Fidele Kanyimbu Mukinda, Van Belle et al.•Health Policy and Planning•2020

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    Open Access•Sue Ziebland, Emma Hyde et al.•Social Science & Medicine•2021

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Obras citantes distintas3
Citas por año3
Intervalo de citas2025 - 2026 (2)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 2
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