Assessing effects of a data quality strengthening campaign on completeness of key fields in facility-based maternity registers in Kenya and Uganda

RIKITA MERAI (1) , RYAN KEATING (2) , PAUL MUBIRI (3) , DARIOUS KAJJO (4) , CHRISTOPHER OTARE (5) , DAVID MUGUME (6) , FITTI WEISSGLAS (7) , PETER WAISWA (8) , PHELGONA OTIENO (9) , LEAH KIRUMBI (10) , ANTHONY WANYORO (11) , GERTRUDE NAMAZZI (12) , KEVIN ACHOLA (13) , ROGER MYRICK (14) , ELIZABETH BUTRICK (15) , DILYS WALKER (16)
(1) , United States
(2) Institute for Global Health Sciences, University of California, San Francisco (UCSF), USA , United States
(3) Makerere University School of Public Health, Kampala, Uganda , Uganda
(4) Makerere University School of Public Health, Kampala, Uganda , Uganda
(5) Kenya Medical Research Institute, Nairobi, Kenya , Kenya
(6) Institute for Global Health Sciences, University of California, San Francisco (UCSF), USA , United States
(7) Institute for Global Health Sciences, University of California, San Francisco (UCSF), USA , United States
(8) Makerere University School of Public Health, Kampala, Uganda , Uganda
(9) Kenya Medical Research Institute, Nairobi, Kenya , Kenya
(10) Kenya Medical Research Institute, Nairobi, Kenya , Kenya
(11) Department of Obstetrics & Gynecology, Kenyatta University, Nairobi, Kenya , Kenya
(12) Makerere University School of Public Health, Kampala, Uganda , Uganda
(13) Kenya Medical Research Institute, Nairobi, Kenya , Kenya
(14) Institute for Global Health Sciences, University of California, San Francisco (UCSF), USA , United States
(15) Institute for Global Health Sciences, University of California, San Francisco (UCSF), USA , United States
(16) Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco (UCSF), USA , United States

Abstract

BACKGROUND


Little is known about the accuracy of facility-based birth registry data for routine monitoring of birth outcomes. This report details the results of a data quality strengthening intervention aimed at improving completeness of birth registry data in Kenya and Uganda, as part of a package of interventions in an implementation science trial under the East Africa Preterm Birth Initiative.


METHODS


The intervention aimed to improve completeness of key intrapartum and post-partum data, including gestational age, birthweight, and newborn outcomes. We conducted data strengthening activities in 23 facilities in Uganda and Kenya. To test the effects of these interventions on completion of key variables, we compared completion rates at various time points.


RESULTS


In Uganda, the completion rate of all four fields of interest increased by 13% (95% CI: 10, 17) with the introduction of data quality training and mentoring. Documentation of the status of infant at discharge and gestational age increased by 12% (95% CI: 9, 14) and 22.3% (95% CI: 19, 17), respectively; while that of birthweight had a marginal increase of 3.2% (95% CI: 1, 5) and Apgar at 1 minute showed no significant change. In Kenya, there was no significant change in completion for most fields.


CONCLUSION


This study suggests that the data strengthening campaign had mixed effects on completion of facility-based maternity register fields and may be country specific. Given emerging international priorities around maternal and neonatal health, utilizing facility-based routine data sources will be key to ensuring sustainable monitoring and evaluation of interventions and outcomes.

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Authors

RIKITA MERAI
rikita.merai@ucsf.edu (Primary Contact)
RYAN KEATING
PAUL MUBIRI
DARIOUS KAJJO
CHRISTOPHER OTARE
DAVID MUGUME
FITTI WEISSGLAS
PETER WAISWA
PHELGONA OTIENO
LEAH KIRUMBI
ANTHONY WANYORO
GERTRUDE NAMAZZI
KEVIN ACHOLA
ROGER MYRICK
ELIZABETH BUTRICK
DILYS WALKER
MERAI, R. ., KEATING, R., MUBIRI, P., KAJJO, D., OTARE, C., MUGUME, D., WEISSGLAS, F., WAISWA, P., OTIENO, P., KIRUMBI, L., WANYORO, A., NAMAZZI, G., ACHOLA, K., MYRICK, R., BUTRICK, E., & WALKER, D. (2019). Assessing effects of a data quality strengthening campaign on completeness of key fields in facility-based maternity registers in Kenya and Uganda. Eajahme, 3(3). https://doi.org/10.58498/eajahme.v1i1.20
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