Evidence map›Paper›PMID 38232073›Full record

ArticlePloS one2024

The changes in health service utilisation in Malawi during the COVID-19 pandemic.

Bingling She, Tara D Mangal, Anna Y Adjabeng, Tim Colbourn, Joseph H Collins, Eva Janoušková, Ines Li Lin, Emmanuel Mnjowe, Sakshi Mohan, Margherita Molaro and 7 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
5.5field-weighted citation impact, top 4% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Observational
  2. Trends and Disruptions in Antiretroviral Treatment Enrollment in Haiti, 2018-2024.The American journal of tropical medicine and hygiene · 2026
    Article
  3. The cost of delivering COVID-19 vaccines in four districts in Malawi.Cost effectiveness and resource allocation : C/E · 2025
    Article
  4. Article
  5. Article
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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

17 authors at 5 institutions in 2 countries.

Bingling SheDepartment of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.ORCID 0000-0001-5976-8987
Tara D MangalDepartment of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.
Anna Y AdjabengDepartment of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.
Tim ColbournInstitute for Global Health, University College London, London, United Kingdom.
Joseph H CollinsInstitute for Global Health, University College London, London, United Kingdom.
Eva JanouškováInstitute for Global Health, University College London, London, United Kingdom.
Ines Li LinInstitute for Global Health, University College London, London, United Kingdom.ORCID 0000-0002-1945-3208
Emmanuel MnjoweCollege of Medicine, University of Malawi, Lilongwe, Malawi.
Sakshi MohanCentre for Health Economics, University of York, York, United Kingdom.
Margherita MolaroDepartment of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.
Andrew N PhillipsInstitute for Global Health, University College London, London, United Kingdom.
Paul RevillCentre for Health Economics, University of York, York, United Kingdom.
Robert Manning SmithCentre for Advanced Spatial Analysis (CASA), University College London, London, United Kingdom.
Pakwanja D TweaDepartment of Planning and Policy Development, Ministry of Health and Population, Lilongwe, Malawi.
Dominic NkhomaCollege of Medicine, University of Malawi, Lilongwe, Malawi.
Gerald ManthaluDepartment of Planning and Policy Development, Ministry of Health and Population, Lilongwe, Malawi.
Timothy B HallettDepartment of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.
University College London · GBImperial College London · GBMinistry of Health · MWUniversity of Malawi · MWUniversity of York · GB

Funding

Medical Research Council MR/P028004/1Wellcome Trust
6 · The paper itself

Abstract

introductionThe COVID-19 pandemic and the restriction policies implemented by the Government of Malawi may have disrupted routine health service utilisation. We aimed to find evidence for such disruptions and quantify any changes by service type and level of health care.

methodsWe extracted nationwide routine health service usage data for 2015-2021 from the electronic health information management systems in Malawi. Two datasets were prepared: unadjusted and adjusted; for the latter, unreported monthly data entries for a facility were filled in through systematic rules based on reported mean values of that facility or facility type and considering both reporting rates and comparability with published data. Using statistical descriptive methods, we first described the patterns of service utilisation in pre-pandemic years (2015-2019). We then tested for evidence of departures from this routine pattern, i.e., service volume delivered being below recent average by more than two standard deviations was viewed as a substantial reduction, and calculated the cumulative net differences of service volume during the pandemic period (2020-2021), in aggregate and within each specific facility.

resultsEvidence of disruptions were found: from April 2020 to December 2021, services delivered of several types were reduced across primary and secondary levels of care-including inpatient care (-20.03% less total interactions in that period compared to the recent average), immunisation (-17.61%), malnutrition treatment (-34.5%), accidents and emergency services (-16.03%), HIV (human immunodeficiency viruses) tests (-27.34%), antiretroviral therapy (ART) initiations for adults (-33.52%), and ART treatment for paediatrics (-41.32%). Reductions of service volume were greatest in the first wave of the pandemic during April-August 2020, and whereas some service types rebounded quickly (e.g., outpatient visits from -17.7% to +3.23%), many others persisted at lower level through 2021 (e.g., under-five malnutrition treatment from -15.24% to -42.23%). The total reduced service volume between April 2020 and December 2021 was 8 066 956 (-10.23%), equating to 444 units per 1000 persons.

conclusionWe have found substantial evidence for reductions in health service delivered in Malawi during the COVID-19 pandemic which may have potential health consequences, the effect of which should inform how decisions are taken in the future to maximise the resilience of healthcare system during similar events.

Indexed as

COVID-19HIV InfectionsMalnutritionAdultChildHealth ServicesHumansMalawiPandemics

Identifiers

PMID38232073
PMCPMC10793884
OpenAlexW4390939823

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.