Evidence map›Paper›PMID 32718948›Full record

ArticleBMJ global health2020

Impact of a free care policy on the utilisation of health services during an Ebola outbreak in the Democratic Republic of Congo: an interrupted time-series analysis.

Yuen W Hung, Michael R Law, Lucy Cheng, Sharon Abramowitz, Lys Alcayna-Stevens, Grégoire Lurton, Serge Manitu Mayaka, Romain Olekhnovitch, Gabriel Kyomba, Hinda Ruton and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
0.5field-weighted citation impact, top 22% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 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

12 authors at 6 institutions in 5 countries.

Yuen W HungHealth Sciences, Wilfrid Laurier University, Waterloo, Ontario, Canada.
Michael R LawCentre for Health Services and Policy Research, The University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0002-5637-6053
Lucy ChengCentre for Health Services and Policy Research, The University of British Columbia, Vancouver, British Columbia, Canada.
Sharon AbramowitzIndependent Consultant, Brookline, Massachusetts, USA.ORCID 0000-0003-3671-8842
Lys Alcayna-StevensDepartment of Anthropology, Harvard University, Cambridge, Massachusetts, USA.ORCID 0000-0003-0653-1884
Grégoire LurtonBluesquare, Brussels, Belgium.ORCID 0000-0002-3714-6893
Serge Manitu MayakaPublic Health School of Kinshasa, Université de Kinshasa, Kinshasa, The Democratic Republic of Congo.
Romain OlekhnovitchBluesquare, Brussels, Belgium.ORCID 0000-0003-0457-5904
Gabriel KyombaPublic Health School of Kinshasa, Université de Kinshasa, Kinshasa, The Democratic Republic of Congo.ORCID 0000-0003-2695-7487
Hinda RutonCentre for Health Services and Policy Research, The University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0003-0538-275X
Sylvain Yuma RamazaniMinistry of Public Health, Kinshasa, The Democratic Republic of Congo.
Karen A GrépinHealth Sciences, Wilfrid Laurier University, Waterloo, Ontario, Canada kgrepin@hku.hk.ORCID 0000-0003-4368-0045
University of British Columbia · CAUniversity of Kinshasa · CDWilfrid Laurier University · CAHarvard University · USMinistry of Public Health · CDNew England Institute of Art · US

Funding

CIHR
6 · The paper itself

Abstract

backgroundDuring past outbreaks of Ebola virus disease (EVD) and other infectious diseases, health service utilisation declined among the general public, delaying health seeking behaviour and affecting population health. From May to July 2018, the Democratic Republic of Congo experienced an outbreak of EVD in Equateur province. The Ministry of Public Health introduced a free care policy (FCP) in both affected and neighbouring health zones. We evaluated the impact of this policy on health service utilisation.

methodsUsing monthly data from the national Health Management Information System from January 2017 to January 2019, we examined rates of the use of nine health services at primary health facilities: total visits; first and fourth antenatal care visits; institutional deliveries; postnatal care visits; diphtheria, pertussis and tetanus (DTP) vaccinations and visits for uncomplicated malaria, pneumonia and diarrhoea. We used controlled interrupted time series analysis with a mixed effects model to estimate changes in the rates of services use during the policy (June-September 2018) and afterwards.

findingsOverall, use of most services increased compared to control health zones, including EVD affected areas. Total visits and visits for pneumonia and diarrhoea initially increased more than two-fold relative to the control areas (p<0.001), while institutional deliveries and first antenatal care increased between 20% and 50% (p<0.01). Visits for DTP, fourth antenatal care visits and postnatal care visits were not significantly affected. During the FCP period, visit rates followed a downward trend. Most increases did not persist after the policy ended.

interpretationThe FCP was effective at rapidly increasing the use of some health services both EVD affected and not affected health zones, but this effect was not sustained post FCP. Such policies may mitigate the adverse impact of infectious disease outbreaks on population health.

Indexed as

Hemorrhagic Fever, EbolaInterrupted Time Series AnalysisDemocratic Republic of the CongoDisease OutbreaksFemaleHealth ServicesHumansPolicyPregnancyhealth policyhealth services researchother infection, disease, disorder, or injuryviral haemorrhagic fevers

Identifiers

PMID32718948
PMCPMC7389747
OpenAlexW3043937987

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.