Evidence map›Paper›PMID 30707704›Full record

ArticlePloS one2019

District-level health management and health system performance.

Netsanet Fetene, Maureen E Canavan, Abraham Megentta, Erika Linnander, Annabel X Tan, Kidest Nadew, Elizabeth H Bradley

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
–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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

Netsanet FeteneYale Global Health Leadership Initiative, New Haven, Connecticut, United States of America.
Maureen E CanavanYale School of Medicine, New Haven, Connecticut, United States of America.
Abraham MegenttaYale Global Health Leadership Initiative, New Haven, Connecticut, United States of America.
Erika LinnanderYale Global Health Leadership Initiative, New Haven, Connecticut, United States of America.ORCID 0000-0002-3417-1049
Annabel X TanYale Global Health Leadership Initiative, New Haven, Connecticut, United States of America.
Kidest NadewYale Global Health Leadership Initiative, New Haven, Connecticut, United States of America.
Elizabeth H BradleyVassar College, Poughkeepsie, New York, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Strengthening district-level management may be an important lever for improving key public health outcomes in low-income settings; however, previous studies have not established the statistical associations between better management and primary healthcare system performance in such settings. To explore this gap, we conducted a cross-sectional study of 36 rural districts and 226 health centers in Ethiopia, a country which has made ambitious investment in expanding access to primary care over the last decade. We employed quantitative measure of management capacity at both the district health office and health center levels and used multiple regression models, accounting for clustering of health centers within districts, to estimate the statistical association between management capacity and a key performance indicator (KPI) summary score based on antenatal care coverage, contraception use, skilled birth attendance, infant immunization, and availability of essential medications. In districts with above median district management capacity, health center management capacity was strongly associated (p < 0.05) with KPI performance. In districts with below median management capacity, health center management capacity was not associated with KPI performance. Having more staff at the district health office was also associated with better KPI performance (p < 0.05) but only in districts with above median management capacity. The results suggest that district-level management may provide an opportunity for improving health system performance in low-income country settings.

Indexed as

Public Health AdministrationContraceptionCross-Sectional StudiesDelivery of Health CareEthiopiaFemaleHumansImmunization ProgramsPregnancyPrenatal Care

Identifiers

PMID30707704
PMCPMC6358064

What OpenQuestion holds

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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.