The maternal and newborn health eCohort to track longitudinal care quality: study protocol and survey development

The MNH eCohort was developed to fill gaps in maternal and newborn health (MNH) care quality measurement. In this paper, we describe the survey development process, recruitment strategy, data collection procedures, survey content and plans for analysis of the data generated by the study. We also compare the survey content to that of existing multi-country tools on MNH care quality. The eCohort is a longitudinal mixed-mode (in-person and phone) survey that will recruit women in health facilities at their first antenatal care (ANC) visit. Women will be followed via phone survey until 10-12 weeks postpartum. User-reported information will be complemented with data from physical health assessments at baseline and endline, extraction from MNH cards, and a brief facility survey. The final MNH eCohort instrument is centered around six key domains of high-quality health systems including competent care (content of ANC, delivery, and postnatal care for the mother and newborn), competent systems (prevention and detection, timely care, continuity, integration), user experience, health outcomes, confidence in the health system, and economic outcomes. The eCohort combines the maternal and newborn experience and, due to its longitudinal nature, will allow for quality assessment according to specific risks that evolve throughout the pregnancy and postpartum period. Detailed information on medical and obstetric history and current health status of respondents and newborns will allow us to determine whether women and newborns at risk are receiving needed care. The MNH eCohort will answer novel questions to guide health system improvements and to fill data gaps in implementing countries.

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Publication Details

Journal
Global Health Action
Published
2024-08-20
DOI
https://doi.org/10.1080/16549716.2024.2392352
Citations
9
Primary Topic
Global Maternal and Child Health
Type
article
Field-Weighted Citation Impact
9.98

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article

The maternal and newborn health eCohort to track longitudinal care quality: study protocol and survey development

Munir Kassa, Catherine Arsenault, Emma Clarke‐Deelder, Dorairaj Prabhakaran et al.
9 citations
Global Health Action
Global Maternal and Child Health
9.98
article

The maternal and newborn health eCohort to track longitudinal care quality: study protocol and survey development

Munir Kassa, Catherine Arsenault, Emma Clarke‐Deelder, Dorairaj Prabhakaran, Irène Mugenya, Nompumelelo Gloria Mfeka-Nkabinde, Rose Jepchumba Kosgei, Prashant Jarhyan, Anagaw Derseh Mebratie, Margaret E. Kruk, Gebeyaw Molla, Jacinta Nzinga, Londiwe Mthethwa, Sailesh Mohan, Firew Tiruneh Tiyare, Ashenif Tadele, Monica Chaudhry, Adiam Nega, Katherine Wright, Damen Haile Mariam, Bethany Holt, Theodros Getachew, Tefera Taddele
article en
9 citations

Abstract

The MNH eCohort was developed to fill gaps in maternal and newborn health (MNH) care quality measurement. In this paper, we describe the survey development process, recruitment strategy, data collection procedures, survey content and plans for analysis of the data generated by the study. We also compare the survey content to that of existing multi-country tools on MNH care quality. The eCohort is a longitudinal mixed-mode (in-person and phone) survey that will recruit women in health facilities at their first antenatal care (ANC) visit. Women will be followed via phone survey until 10-12 weeks postpartum. User-reported information will be complemented with data from physical health assessments at baseline and endline, extraction from MNH cards, and a brief facility survey. The final MNH eCohort instrument is centered around six key domains of high-quality health systems including competent care (content of ANC, delivery, and postnatal care for the mother and newborn), competent systems (prevention and detection, timely care, continuity, integration), user experience, health outcomes, confidence in the health system, and economic outcomes. The eCohort combines the maternal and newborn experience and, due to its longitudinal nature, will allow for quality assessment according to specific risks that evolve throughout the pregnancy and postpartum period. Detailed information on medical and obstetric history and current health status of respondents and newborns will allow us to determine whether women and newborns at risk are receiving needed care. The MNH eCohort will answer novel questions to guide health system improvements and to fill data gaps in implementing countries.

Global Health ActionVol. 17(1)
University of Nairobi (KE), Milken Institute (US), Harvard University (US), Swiss Tropical and Public Health Institute (CH), George Washington University (US), Government of Ethiopia (ET), Kenya Medical Research Institute (KE), Ethiopian Public Health Institute (ET), Federal Ministry of Health (ET), Centre for Chronic Disease Control (IN), Harvard Global Health Institute (US), Addis Ababa University (ET), Public Health Foundation of India (IN), Wellcome Trust (GB), University of KwaZulu-Natal (ZA)
Bill and Melinda Gates Foundation
Openalex Percentile: Top 2%
Global Maternal and Child Health
9.98
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