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

Autor: Arsenault C; Department of Global Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA., Wright K; Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA., Taddele T; Health System Research Directorate, Ethiopian Public Health Institute, Addis Ababa, Ethiopia., Tadele A; Health System Research Directorate, Ethiopian Public Health Institute, Addis Ababa, Ethiopia., Derseh Mebratie A; School of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia., Tiruneh Tiyare F; Health System Research Directorate, Ethiopian Public Health Institute, Addis Ababa, Ethiopia., Kosgei RJ; Department of Obstetrics and Gynecology, University of Nairobi, Nairobi, Kenya., Nzinga J; Health Economics Research Unit, KEMRI Wellcome Trust Research Program, Nairobi, Kenya., Holt B; Blavatnik Institute of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA., Mugenya I; Health Economics Research Unit, KEMRI Wellcome Trust Research Program, Nairobi, Kenya., Clarke-Deelder E; Department of Epidemiology and Public Health, Swiss Tropical & Public Health Institute, Allschwil, Switzerland., Nega A; School of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia., Prabhakaran D; Public Health Foundation of India, Gurgaon, India.; Centre for Chronic Disease Control, New Delhi, India., Mohan S; Public Health Foundation of India, Gurgaon, India., Mfeka-Nkabinde NG; School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa., Mthethwa L; School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa., Haile Mariam D; School of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia., Molla G; Health System Research Directorate, Ethiopian Public Health Institute, Addis Ababa, Ethiopia., Getachew T; Health System Research Directorate, Ethiopian Public Health Institute, Addis Ababa, Ethiopia., Jarhyan P; Public Health Foundation of India, Gurugram, Haryana, India., Chaudhry M; Public Health Foundation of India, Gurugram, Haryana, India., Kassa M; Ministry of Health of Ethiopia, Addis Ababa, Ethiopia., Kruk ME; Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Jazyk: angličtina
Zdroj: Global health action [Glob Health Action] 2024 Dec 31; Vol. 17 (1), pp. 2392352. Date of Electronic Publication: 2024 Aug 20.
DOI: 10.1080/16549716.2024.2392352
Abstrakt: 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.
Databáze: MEDLINE