Evidence map›Paper›PMID 38176873›Full record

ArticleBMJ open2024

Service readiness for the management of non-communicable diseases in publicly financed facilities in Malawi: findings from the 2019 Harmonised Health Facility Assessment census survey.

Sali Ahmed, Yanjia Cao, Zicheng Wang, Matthew M Coates, Pakwanja Twea, Mingyang Ma, Jonathan Chiwanda Banda, Emily Wroe, Lan Bai, David A Watkins and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 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
5.4field-weighted citation impact, top 5% 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

7 citing papers in PubMed, 8 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

11 authors at 7 institutions in 6 countries.

Sali AhmedDepartment of Global Health, University of Washington, Seattle, Washington, USA.ORCID 0000-0002-3310-7977
Yanjia CaoDepartment of Geography, The University of Hong Kong, Hong Kong, China.ORCID 0000-0002-8294-8924
Zicheng WangDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0009-0000-1787-6517
Matthew M CoatesDepartment of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.ORCID 0000-0002-8474-4992
Pakwanja TweaBergen Centre for Ethics and Priority Setting, University of Bergen, Bergen, Norway.ORCID 0000-0003-0917-8190
Mingyang MaDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0009-0004-5908-6416
Jonathan Chiwanda BandaCurative and Medical Rehabilitation Services, Ministry of Health, lilongwe, Malawi.ORCID 0000-0002-1118-949X
Emily WroeDepartment of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.ORCID 0000-0002-9152-9553
Lan BaiDepartment of Public Administration, Nanjing University of Traditional Chinese Medicine, Nanjing, China.ORCID 0009-0007-7952-9466
David A WatkinsDepartment of Global Health, University of Washington, Seattle, Washington, USA.ORCID 0000-0001-6341-9595
Yanfang SuDepartment of Global Health, University of Washington, Seattle, Washington, USA yfsu@uw.edu.ORCID 0000-0001-7557-8518
University of Washington · USBrigham and Women's Hospital · USHarvard University · USMinistry of Health · MWNanjing University · CNUniversity of Health Science · KHUniversity of Hong Kong · HK

Funding

Mentored Education for Dissemination and Implementation Science (MEDIS) ProgramR25DK123008 · NIDDK · WASHINGTON UNIVERSITY · PI BROWNSON, ROSS C, HAIRE-JOSHU, DEBRA · 2020 to 2024
$1.1M
6 · The paper itself

Abstract

introductionNon-communicable diseases (NCDs) are rising in low-income and middle-income countries, including Malawi. To inform policy-makers and planners on the preparedness of the Malawian healthcare system to respond to NCDs, we estimated NCD service readiness in publicly financed healthcare facilities in Malawi.

methodsWe analysed data from 564 facilities surveyed in the 2019 Harmonised Health Facility Assessment, including 512 primary healthcare (PHC) and 52 secondary and tertiary care (STC) facilities. To characterise service readiness, applying the law of minimum, we estimated the percentage of facilities with functional equipment and unexpired medicines required to provide NCD services. Further, we estimated permanently unavailable items to identify service readiness bottlenecks.

resultsFewer than 40% of PHC facilities were ready to deliver services for each of the 14 NCDs analysed. Insulin and beclomethasone inhalers had the lowest stock levels at PHC facilities (6% and 8%, respectively). Only 17% of rural and community hospitals (RCHs) have liver and kidney diagnostics. STC facilities had varying service readiness, ranging from 27% for managing acute diabetes complications to 94% for chronic type 2 diabetes management. Only 38% of STC facilities were ready to manage chronic heart failure. Oral pain medicines were widely available at all levels of health facilities; however, only 22% of RCHs and 29% of STCs had injectable morphine or pethidine. Beclomethasone was never available at 74% of PHC and 29% of STC facilities.

conclusionPublicly financed facilities in Malawi are generally unprepared to provide NCD services, especially at the PHC level. Targeted investments in PHC can substantially improve service readiness for chronic NCD conditions in local communities and enable STC to respond to acute NCD complications and more complex NCD cases.

Indexed as

Diabetes Mellitus, Type 2Noncommunicable DiseasesAmbulatory Care FacilitiesBeclomethasoneCensusesHealth FacilitiesHealth Services AccessibilityHumansMalawiBeclomethasoneChronic Diseasehealth equityhealth services accessibilityprimary health care

Identifiers

PMID38176873
PMCPMC10773330
OpenAlexW4390631619

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.