Evidence map›Paper›PMID 28185588›Full record

ArticleBMC health services research2016

What is the role of community capabilities for maternal health? An exploration of community capabilities as determinants to institutional deliveries in Bangladesh, India, and Uganda.

Ligia Paina, Lalitha Vadrevu, S M Manzoor Ahmed Hanifi, Joseph Akuze, Rachel Rieder, Kitty S Chan, David H Peters

Abstract read
In one paragraph

Article in BMC health services research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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.

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3 · Its place in the literature

Who cites it

7 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

7 authors.

Ligia PainaDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA. LPAINA@jhu.edu.
Lalitha VadrevuIndian Institute of Health Management Research, 1 Prabhu Dayal Marg, Sanganer, Jaipur, 302029, India.
S M Manzoor Ahmed HanifiHealth System and Population Studies Division, icddr,b, GPO Box 128, Dhaka, 1000, Bangladesh.
Joseph AkuzeDepartment of Health Policy, Planning, and Management, Center of Excellence for Maternal and Newborn Health Research, Makerere University School of Public Health, New Mulago Hospital Complex, Kampala, Uganda.
Rachel RiederDKT International Tanzania, Meranani St, Dar es Salaam, Tanzania.
Kitty S ChanDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, 624 North Broadway, #633, Baltimore, MD, 21205, USA.
David H PetersDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.

Funding

Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
NCATS NIH HHS UL1 TR001079
6 · The paper itself

Abstract

backgroundWhile community capabilities are recognized as important factors in developing resilient health systems and communities, appropriate metrics for these have not yet been developed. Furthermore, the role of community capabilities on access to maternal health services has been underexplored. In this paper, we summarize the development of a community capability score based on the Future Health System (FHS) project's experience in Bangladesh, India, and Uganda, and, examine the role of community capabilities as determinants of institutional delivery in these three contexts.

methodsWe developed a community capability score using a pooled dataset containing cross-sectional household survey data from Bangladesh, India, and Uganda. Our main outcome of interest was whether the woman delivered in an institution. Our predictor variables included the community capability score, as well as a series of previously identified determinants of maternal health. We calculate both population-averaged effects (using GEE logistic regression), as well as sub-national level effects (using a mixed effects model).

resultsOur final sample for analysis included 2775 women, of which 1238 were from Bangladesh, 1199 from India, and 338 from Uganda. We found that individual-level determinants of institutional deliveries, such as maternal education, parity, and ante-natal care access were significant in our analysis and had a strong impact on a woman's odds of delivering in an institution. We also found that, in addition to individual-level determinants, greater community capability was significantly associated with higher odds of institutional delivery. For every additional capability, the odds of institutional delivery would increase by up to almost 6 %.

conclusionIndividual-level characteristics are strong determinants of whether a woman delivered in an institution. However, we found that community capability also plays an important role, and should be taken into account when designing programs and interventions to support institutional deliveries. Consideration of individual factors and the capabilities of the communities in which people live would contribute to the vision of supporting people-centered approaches to health.

Indexed as

Community NetworksMaternal Health ServicesAdolescentAdultBangladeshCross-Sectional StudiesDelivery, ObstetricFemaleHumansIndiaMaternal HealthMedical AssistanceMiddle AgedPregnancyResidence CharacteristicsSurveys and Questionnaires

Identifiers

PMID28185588
PMCPMC5123293

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.