Evidence map›Paper›PMID 39163134›Full record

ArticleGlobal health action2024

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

Catherine Arsenault, Katherine Wright, Tefera Taddele, Ashenif Tadele, Anagaw Derseh Mebratie, Firew Tiruneh Tiyare, Rose J Kosgei, Jacinta Nzinga, Bethany Holt, Irene Mugenya and 13 more

Abstract read
In one paragraph

Article in Global health action, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors.

Catherine ArsenaultDepartment of Global Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA.ORCID 0000-0003-2410-3015
Katherine WrightDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0001-8198-0837
Tefera TaddeleHealth System Research Directorate, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
Ashenif TadeleHealth System Research Directorate, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.ORCID 0000-0001-5584-7565
Anagaw Derseh MebratieSchool of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.ORCID 0000-0002-6489-335X
Firew Tiruneh TiyareHealth System Research Directorate, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.ORCID 0000-0001-5170-7610
Rose J KosgeiDepartment of Obstetrics and Gynecology, University of Nairobi, Nairobi, Kenya.
Jacinta NzingaHealth Economics Research Unit, KEMRI Wellcome Trust Research Program, Nairobi, Kenya.ORCID 0000-0001-8394-8857
Bethany HoltBlavatnik Institute of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-0097-2243
Irene MugenyaHealth Economics Research Unit, KEMRI Wellcome Trust Research Program, Nairobi, Kenya.
Emma Clarke-DeelderDepartment of Epidemiology and Public Health, Swiss Tropical & Public Health Institute, Allschwil, Switzerland.ORCID 0000-0002-8306-2375
Adiam NegaSchool of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.ORCID 0000-0001-7648-6332
Dorairaj PrabhakaranPublic Health Foundation of India, Gurgaon, India.ORCID 0000-0002-3172-834X
Sailesh MohanPublic Health Foundation of India, Gurgaon, India.ORCID 0000-0003-1853-3596
Nompumelelo Gloria Mfeka-NkabindeSchool of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa.ORCID 0000-0001-9176-7626
Londiwe MthethwaSchool of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa.
Damen Haile MariamSchool of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Gebeyaw MollaHealth System Research Directorate, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.ORCID 0000-0002-3660-5912
Theodros GetachewHealth System Research Directorate, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.ORCID 0000-0002-6486-0531
Prashant JarhyanPublic Health Foundation of India, Gurugram, Haryana, India.ORCID 0000-0002-5020-3995
Monica ChaudhryPublic Health Foundation of India, Gurugram, Haryana, India.ORCID 0000-0002-8795-1815
Munir KassaMinistry of Health of Ethiopia, Addis Ababa, Ethiopia.ORCID 0000-0001-9482-7380
Margaret E KrukDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0002-9549-8432

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Quality of Health CareAdultFemaleHealth Care SurveysHumansInfant HealthInfant, NewbornLongitudinal StudiesMaternal-Child Health ServicesMaternal Health ServicesPregnancyPrenatal Careevidence-based careHealth system qualityimplementation sciencematernal and newborn healthquality of care

Identifiers

PMID39163134
PMCPMC11338195

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.