Evidence map›Paper›PMID 38252654›Full record

ArticlePLoS medicine2024

Health system assessment for access to care after injury in low- or middle-income countries: A mixed methods study from Northern Malawi.

John Whitaker, Idara Edem, Ella Togun, Abena S Amoah, Albert Dube, Lindani Chirwa, Boston Munthali, Giulia Brunelli, Thomas Van Boeckel, Rory Rickard and 2 more

Abstract read
In one paragraph

Article in PLoS medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

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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.

John WhitakerInstitute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom.ORCID 0000-0001-5877-4496
Idara EdemKing's Centre for Global Health and Health Partnerships, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom.ORCID 0000-0003-1711-0428
Ella TogunKing's Centre for Global Health and Health Partnerships, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom.ORCID 0000-0001-8586-8770
Abena S AmoahMalawi Epidemiology and Intervention Research Unit (formerly Karonga Prevention Study), Chilumba, Malawi.
Albert DubeMalawi Epidemiology and Intervention Research Unit (formerly Karonga Prevention Study), Chilumba, Malawi.ORCID 0000-0002-6392-0475
Lindani ChirwaKaronga District Hospital, Karonga District Health Office, Karonga, Malawi.ORCID 0000-0001-7563-5500
Boston MunthaliMzuzu Central Hospital, Department of Orthopaedic Surgery, Mzuzu, Malawi.
Giulia BrunelliHealth Geography and Policy Group, ETH Zurich, Zurich, Switzerland.ORCID 0000-0002-4347-7074
Thomas Van BoeckelHealth Geography and Policy Group, ETH Zurich, Zurich, Switzerland.ORCID 0000-0002-6556-0952
Rory RickardAcademic Department of Military Surgery and Trauma, Royal Centre for Defence Medicine, Birmingham, United Kingdom.
Andrew Jm LeatherKing's Centre for Global Health and Health Partnerships, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom.ORCID 0000-0003-0500-5962
Justine DaviesInstitute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom.ORCID 0000-0001-6834-1838

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInjuries represent a vast and relatively neglected burden of disease affecting low- and middle-income countries (LMICs). While many health systems underperform in treating injured patients, most assessments have not considered the whole system. We integrated findings from 9 methods using a 3 delays approach (delays in seeking, reaching, or receiving care) to prioritise important trauma care health system barriers in Karonga, Northern Malawi, and exemplify a holistic health system assessment approach applicable in comparable settings. METHODS AND

findingsTo provide multiple perspectives on each conceptual delay and include data from community-based and facility-based sources, we used 9 methods to examine the injury care health system. The methods were (1) household survey; (2) verbal autopsy analysis; (3) community focus group discussions (FGDs); (4) community photovoice; (5) facility care-pathway process mapping and elucidation of barriers following injury; (6) facility healthcare worker survey; (7) facility assessment survey; (8) clinical vignettes for care process quality assessment of facility-based healthcare workers; and (9) geographic information system (GIS) analysis. Empirical data collection took place in Karonga, Northern Malawi, between July 2019 and February 2020. We used a convergent parallel study design concurrently conducting all data collection before subsequently integrating results for interpretation. For each delay, a matrix was created to juxtapose method-specific data relevant to each barrier identified as driving delays to injury care. Using a consensus approach, we graded the evidence from each method as to whether an identified barrier was important within the health system. We identified 26 barriers to access timely quality injury care evidenced by at least 3 of the 9 study methods. There were 10 barriers at delay 1, 6 at delay 2, and 10 at delay 3. We found that the barriers "cost," "transport," and "physical resources" had the most methods providing strong evidence they were important health system barriers within delays 1 (seeking care), 2 (reaching care), and 3 (receiving care), respectively. Facility process mapping provided evidence for the greatest number of barriers-25 of 26 within the integrated analysis. There were some barriers with notable divergent findings between the community- and facility-based methods, as well as among different community- and facility-based methods, which are discussed. The main limitation of our study is that the framework for grading evidence strength for important health system barriers across the 9 studies was done by author-derived consensus; other researchers might have created a different framework.

conclusionsBy integrating 9 different methods, including qualitative, quantitative, community-, patient-, and healthcare worker-derived data sources, we gained a rich insight into the functioning of this health system's ability to provide injury care. This approach allowed more holistic appraisal of this health system's issues by establishing convergence of evidence across the diverse methods used that the barriers of cost, transport, and physical resources were the most important health system barriers driving delays to seeking, reaching, and receiving injury care, respectively. This offers direction and confidence, over and above that derived from single methodology studies, for prioritising barriers to address through health service development and policy.

Indexed as

Developing CountriesHealth Services AccessibilityHumansMalawiQuality of Health CareSurveys and Questionnaires

Identifiers

PMID38252654
PMCPMC10843098

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.