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

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  • 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
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    References listed on IDEAS

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    1. 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.
    2. 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).
    3. 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.
    4. 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.
    5. 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.
    6. 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).
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