Evidence map›Paper›PMID 36442898›Full record

ArticleBMJ open2022

Economic evaluation of integrated services for non-communicable diseases and HIV: costs and client outcomes in rural Malawi.

Emily B Wroe, Bright Mailosi, Natalie Price, Chiyembekezo Kachimanga, Adarsh Shah, Noel Kalanga, Elizabeth L Dunbar, Lawrence Nazimera, Mahlet Gizaw, Chantelle Boudreaux and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.9field-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

14 citing papers in PubMed, 20 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

13 authors at 7 institutions in 2 countries.

Emily B WroeProgram in Global Noncommunicable Diseases and Social Change, Harvard Medical School Department of Global Health and Social Medicine, Boston, Massachusetts, USA ewroe@pih.org.
Bright MailosiPartners In Health, Neno, Malawi.
Natalie PriceDepartment of Epidemiology, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania, USA.
Chiyembekezo KachimangaPartners In Health, Neno, Malawi.
Adarsh ShahHarvard Kennedy School, Cambridge, Massachusetts, USA.
Noel KalangaDepartment of Health Systems and Policy, Kamuzu University of Health Sciences, Blantyre, Malawi.
Elizabeth L DunbarDepartment of Human Centered Design, University of Washington, Seattle, WA, USA.
Lawrence NazimeraDepartment of Clinical Services, Ministry of Health, Neno, Malawi.
Mahlet GizawRAND Corporation, Santa Monica, California, USA.
Chantelle BoudreauxDivision of Global Health Equity, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Luckson DulliePartners In Health, Neno, Malawi.
Liberty NebaClinton Health Access Initiative, Lilongwe, Malawi.
Ryan K McBainDivision of Global Health Equity, Brigham and Women's Hospital, Boston, Massachusetts, USA.ORCID 0000-0003-0073-0348
Brigham and Women's Hospital · USKamuzu Central Hospital · MWMinistry of Health · MWPublic Health Institute of Malawi · MWRAND Corporation · USUniversity of Pittsburgh · USUniversity of Washington · US

Funding

Malawi HIV Implementation Research Scientist Training Program (MHIRST)D43TW010060 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MINA CHRISTINE HOSSEINIPOUR, Victor Mwapasa · 2015 to 2026
$3.8M
Integrating a Stepped Care Model of Screening and Treatment for Depression into Malawi's National HIV Care Delivery PlatformR01MH117760 · NIMH · RAND CORPORATION · PI MCBAIN, RYAN K, WAGNER, GLENN JOHN · 2020 to 2024
$3.0M
FIC NIH HHS D43 TW010060NIMH NIH HHS R01 MH117760
6 · The paper itself

Abstract

objectiveTo evaluate the costs and client outcomes associated with integrating screening and treatment for non-communicable diseases (NCDs) into HIV services in a rural and remote part in southeastern Africa.

designProspective cohort study.

settingPrimary and secondary level health facilities in Neno District, Malawi.

participantsNew adult enrollees in Integrated Chronic Care Clinics (IC3) between July 2016 and June 2017.

main outcome measuresWe quantified the annualised total and per capita economic cost (US$2017) of integrated chronic care, using activity-based costing from a health system perspective. We also measured enrolment, retention and mortality over the same period. Furthermore, we measured clinical outcomes for HIV (viral load), hypertension (controlled blood pressure), diabetes (average blood glucose), asthma (asthma severity) and epilepsy (seizure frequency).

resultsThe annualised total cost of providing integrated HIV and NCD care was $2 461 901 to provide care to 9471 enrollees, or $260 per capita. This compared with $2 138 907 for standalone HIV services received by 6541 individuals, or $327 per capita. Over the 12-month period, 1970 new clients were enrolled in IC3, with a retention rate of 80%. Among clients with HIV, 81% achieved an undetectable viral load within their first year of enrolment. Significant improvements were observed among clinical outcomes for clients enrolled with hypertension, asthma and epilepsy (p<0.05, in all instances), but not for diabetes (p>0.05).

conclusionsIC3 is one of the largest examples of fully integrated HIV and NCD care. Integrating screening and treatment for chronic health conditions into Malawi's HIV platform appears to be a financially feasible approach associated with several positive clinical outcomes.

Indexed as

AsthmaHIV InfectionsHypertensionNoncommunicable DiseasesAdultCost-Benefit AnalysisHumansMalawiProspective StudiesAsthmaDIABETES & ENDOCRINOLOGYHEALTH ECONOMICSHIV & AIDSHypertension

Identifiers

PMID36442898
PMCPMC9710473
OpenAlexW4310086153

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.