Evidence map›Paper›PMID 26787158›Full record

ArticleThe American journal of tropical medicine and hygiene2016

Independent Evaluation of the integrated Community Case Management of Childhood Illness Strategy in Malawi Using a National Evaluation Platform Design.

Agbessi Amouzou, Mercy Kanyuka, Elizabeth Hazel, Rebecca Heidkamp, Andrew Marsh, Tiope Mleme, Spy Munthali, Lois Park, Benjamin Banda, Lawrence H Moulton and 5 more

Abstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 4 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

33 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Agbessi Amouzou
Mercy Kanyuka
Elizabeth Hazel
Rebecca Heidkamp
Andrew Marsh
Tiope Mleme
Spy Munthali
Lois Park
Benjamin Banda
Lawrence H Moulton
Robert E Black
Kenneth Hill
Jamie Perin
Cesar G Victora
Jennifer Bryce

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We evaluated the impact of integrated community case management of childhood illness (iCCM) on careseeking for childhood illness and child mortality in Malawi, using a National Evaluation Platform dose-response design with 27 districts as units of analysis. "Dose" variables included density of iCCM providers, drug availability, and supervision, measured through a cross-sectional cellular telephone survey of all iCCM-trained providers. "Response" variables were changes between 2010 and 2014 in careseeking and mortality in children aged 2-59 months, measured through household surveys. iCCM implementation strength was not associated with changes in careseeking or mortality. There were fewer than one iCCM-ready provider per 1,000 under-five children per district. About 70% of sick children were taken outside the home for care in both 2010 and 2014. Careseeking from iCCM providers increased over time from about 2% to 10%; careseeking from other providers fell by a similar amount. Likely contributors to the failure to find impact include low density of iCCM providers, geographic targeting of iCCM to "hard-to-reach" areas although women did not identify distance from a provider as a barrier to health care, and displacement of facility careseeking by iCCM careseeking. This suggests that targeting iCCM solely based on geographic barriers may need to be reconsidered.

Indexed as

Case ManagementChildChild Health ServicesCommunicable Disease ControlCommunity Health ServicesDeveloping CountriesDisease ManagementFemaleHumansMalawiNational Health ProgramsPublic Health Practice

Identifiers

PMID26787158
PMCPMC4775894

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.