IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v366y2025ics0277953624011225.html

Getting the numbers right: Power, creativity and ‘good’ routine maternal and neonatal health data in Southern Tanzania

Author

Listed:
  • Molenaar, Jil
  • Kikula, Amani
  • van Olmen, Josefien
  • Pembe, Andrea
  • Beňová, Lenka

Abstract

What makes routine maternal and neonatal health data to be ‘good quality’? That depends on whom you ask – the people collecting and reporting these data across health system levels have different priorities and face varying constraints. Data are constructed by people, about people, and they both reflect and impact human interactions. This study analyses the power dynamics shaping how routine health data are collected and reported in labour wards of two hospitals in Southern Tanzania. We draw from focused ethnographic observation at these two labour wards and 29 in-depth qualitative interviews with health care workers (HCWs), hospital leaders, and relevant district- and regional-level managers.

Suggested Citation

  • Molenaar, Jil & Kikula, Amani & van Olmen, Josefien & Pembe, Andrea & Beňová, Lenka, 2025. "Getting the numbers right: Power, creativity and ‘good’ routine maternal and neonatal health data in Southern Tanzania," Social Science & Medicine, Elsevier, vol. 366(C).
  • Handle: RePEc:eee:socmed:v:366:y:2025:i:c:s0277953624011225
    DOI: 10.1016/j.socscimed.2024.117668
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953624011225
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socscimed.2024.117668?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Brunson, Jan & Suh, Siri, 2020. "Behind the measures of maternal and reproductive health: Ethnographic accounts of inventory and intervention," Social Science & Medicine, Elsevier, vol. 254(C).
    2. Justin Sandefur & Amanda Glassman, 2015. "The Political Economy of Bad Data: Evidence from African Survey and Administrative Statistics," Journal of Development Studies, Taylor & Francis Journals, vol. 51(2), pages 116-132, February.
    3. Cogburn, Megan D., 2020. "Homebirth fines and health cards in rural Tanzania: On the push for numbers in maternal health," Social Science & Medicine, Elsevier, vol. 254(C).
    4. Lotte Danielsen, 2017. "Enforcing ‘Progress’: A Story of an MDG 5 Indicator and Maternal Health in Malawi," Development and Change, International Institute of Social Studies, vol. 48(3), pages 429-451, May.
    5. Graham, Wendy J. & Campbell, Oona M. R., 1992. "Maternal health and the measurement trap," Social Science & Medicine, Elsevier, vol. 35(8), pages 967-977, October.
    6. Kingori, Patricia & Gerrets, René, 2016. "Morals, morale and motivations in data fabrication: Medical research fieldworkers views and practices in two Sub-Saharan African contexts," Social Science & Medicine, Elsevier, vol. 166(C), pages 150-159.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Melberg, Andrea & Diallo, Abdoulaye Hama & Storeng, Katerini T. & Tylleskär, Thorkild & Moland, Karen Marie, 2018. "Policy, paperwork and ‘postographs’: Global indicators and maternity care documentation in rural Burkina Faso," Social Science & Medicine, Elsevier, vol. 215(C), pages 28-35.
    2. Dang, Hai-Anh H & Carletto, Calogero, 2022. "Recall Bias Revisited: Measure Farm Labor Using Mixed-Mode Surveys and Multiple Imputation," IZA Discussion Papers 14997, IZA Network @ LISER.
    3. Reynolds, Travis W. & Anderson, C. Leigh & Slakie, Elysia & Gugerty, Mary Kay, 2015. "How Common Crop Yield Measures Misrepresent Productivity among Smallholder Farmers," 2015 Conference, August 9-14, 2015, Milan, Italy 212485, International Association of Agricultural Economists.
    4. Cogburn, Megan D., 2020. "Homebirth fines and health cards in rural Tanzania: On the push for numbers in maternal health," Social Science & Medicine, Elsevier, vol. 254(C).
    5. Henderson, Rebecca, 2024. "Invisible cancers: Seeing, knowing, enacting and proving cancers in Haiti," Social Science & Medicine, Elsevier, vol. 347(C).
    6. Chapman, Christopher, 2025. "Reifying risk and health: Cultural normativity, bureaucracy, and moral quandary in child abuse investigations in Japan," Children and Youth Services Review, Elsevier, vol. 170(C).
    7. Bennell, Paul, 2021. "The political economy of attaining Universal Primary Education in sub-Saharan Africa: The politics of UPE implementation," International Journal of Educational Development, Elsevier, vol. 80(C).
    8. Sam Desiere & Lotte Staelens & Marijke D’Haese, 2016. "When the Data Source Writes the Conclusion: Evaluating Agricultural Policies," Journal of Development Studies, Taylor & Francis Journals, vol. 52(9), pages 1372-1387, September.
    9. Abbott, Pamela & Sapsford, Roger & Binagwaho, Agnes, 2017. "Learning from Success: How Rwanda Achieved the Millennium Development Goals for Health," World Development, Elsevier, vol. 92(C), pages 103-116.
    10. Rafiq, Mohamed Yunus & Wheatley, Hannah & Salti, Rashid & Shemdoe, Aloisia & Baraka, Jitihada & Mushi, Hildegalda, 2022. "“I let others speak about condoms:” Muslim religious leaders’ selective engagement with an NGO-Led family planning project in rural Tanzania," Social Science & Medicine, Elsevier, vol. 293(C).
    11. Renda, Andrea & Laurer, Moritz, 2020. "IoT 4 SDGs - What can the Digital Transformation and IoT achieve for Agenda 2030?," CEPS Papers 26658, Centre for European Policy Studies.
    12. Manuel Oechslin & Elias Steiner, 2022. "Statistical capacity and corrupt bureaucracies," The Review of International Organizations, Springer, vol. 17(1), pages 143-174, January.
    13. Kyle McNabb, 2017. "Exploring regional and gender disparities in Beninese primary school attendance: A multilevel approach," WIDER Working Paper Series wp-2017-70, World Institute for Development Economic Research (UNU-WIDER).
    14. Cilliers, Jacobus & Kasirye, Ibrahim & Leaver, Clare & Serneels, Pieter & Zeitlin, Andrew, 2018. "Pay for locally monitored performance? A welfare analysis for teacher attendance in Ugandan primary schools," Journal of Public Economics, Elsevier, vol. 167(C), pages 69-90.
    15. Jules Gazeaud & Victor Stephane, 2023. "Productive Workfare? Evidence from Ethiopia's Productive Safety Net Program," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(1), pages 265-290, January.
    16. Suh, Siri, 2020. "What post-abortion care indicators don't measure: Global abortion politics and obstetric practice in Senegal," Social Science & Medicine, Elsevier, vol. 254(C).
    17. Markhof, Yannick & Wollburg, Philip & Zezza, Alberto, 2025. "Beyond the records: Data quality and COVID-19 vaccination progress in low- and middle-income countries," Journal of Development Economics, Elsevier, vol. 174(C).
    18. Islam,Asif Mohammed & Lederman,Daniel, 2020. "Data Transparency and Long-Run Growth," Policy Research Working Paper Series 9493, The World Bank.
    19. Johanna Choumert-Nkolo & Pascale Phelinas, 2018. "New paradigms for household surveys in low and middle income countries [Nouveaux paradigmes d'élaboration des enquêtes ménages dans les pays du Sud]," CERDI Working papers halshs-01888609, HAL.
    20. Wei-Chih Lu & I-Ching Tsai & Kuan-Chung Wang & Te-Ai Tang & Kuan-Chen Li & Ya-Ci Ke & Peng-Ting Chen, 2021. "Innovation Resistance and Resource Allocation Strategy of Medical Information Digitalization," Sustainability, MDPI, vol. 13(14), pages 1-20, July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:socmed:v:366:y:2025:i:c:s0277953624011225. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.