Evidence map›Paper›PMID 34120637›Full record

ArticleConflict and health2021

Surveys about attended births appear to be deceptive in CAR: are the population saying what they think NGO's want to hear?

Philippe Wol, Christina Kay, Leslie Roberts

Open access · goldAbstract read
In one paragraph

Article in Conflict and health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.0field-weighted citation impact, top 12% of its field
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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Philippe WolIndependent Consultant, Bocaranga, Central African Republic.
Christina KayProgram on Forced Migration and Health, Columbia University - Mailman School of Public Health, New York, USA.
Leslie RobertsProgram on Forced Migration and Health, Columbia University - Mailman School of Public Health, New York, USA. Lfr2102@cumc.columbia.edu.
Columbia University · US

Funding

CDC HHS GG010640-05
6 · The paper itself

Abstract

backgroundNon-governmental organizations (NGOs) and donors often promote certain practices to a community, such as in-facility births and then evaluate the efficacy of those interventions, in part, by surveying those populations.

methodsA project to assess the accuracy of birth and death monitoring by local community-based monitors was undertaken with a partner health agency in areas (pop. 94,000) where they supported medical facilities. Thirty clusters of 30 households each were selected at random, probability proportional to size. Half of those households were enrolled for a monthly visitation surveillance process. To gain insights into the effects of the agency's services, an additional 240 households were selected at random and interviewed from 8 nearby "matched villages" not serviced by any NGO as a comparison sample.

resultsThe 896 households with 4243 living residents within the NGO service area were interviewed about household births and deaths within the past 8 months. They reported an annualized birth rate of 5.6% (95% CI: 4.5-6.7) with only 3% of those births occurring at home. The reported death rate was 4.2/1000/month (95% CI: 3.3-5.0). In the "matched villages," the population reported a similar birth and death rate, but they reported 29% of births occurring within the home. The monthly surveillance data found over the year that followed that 32% of births occurred at the home. Clinic and hospital birth attendance data suggested an attended annual birth rate of only 2.8%, consistent with the surveillance data implication that a huge fraction of births occur at home.

conclusionIt is believed that because the baseline interviews occurred with a stranger, this induced interviewees to say what they thought the interviewers wanted to hear. This calls into question the validity of household surveys when agencies have a known agenda or position, and highlights the need for external validation or triangulation of survey findings.

Identifiers

PMID34120637
PMCPMC8201712
OpenAlexW3167529183

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.