Evidence map›Paper›PMID 38096884›Full record

ReviewThe Lancet. Global health2024

The path to universal health coverage in five African and Asian countries: examining the association between insurance status and health-care use.

Emily Odipo, Prashant Jarhyan, Jacinta Nzinga, Dorairaj Prabhakaran, Amit Aryal, Emma Clarke-Deelder, Sailesh Mohan, Moshabela Mosa, Munir Kassa Eshetu, Todd P Lewis and 4 more

Open access · goldAbstract readReview
In one paragraph

Review in The Lancet. Global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 6 pooled it
7.9field-weighted citation impact, top 2% 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

26 citing papers in PubMed, 6 syntheses or guidelines pooled it, 27 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 7 institutions in 7 countries.

Emily OdipoPopulation and Health Impact Surveillance Group, Kenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya.
Prashant JarhyanPublic Health Foundation of India, Gurgaon, India.
Jacinta NzingaHealth Economics Research Unit, Kenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya.
Dorairaj PrabhakaranPublic Health Foundation of India, Gurgaon, India.
Amit AryalSwiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland.
Emma Clarke-DeelderSwiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland.
Sailesh MohanPublic Health Foundation of India, Gurgaon, India.
Moshabela MosaUniversity of KwaZulu-Natal, Durban, South Africa.
Munir Kassa EshetuMinistry of Health of Ethiopia, Addis Ababa, Ethiopia.
Todd P LewisDepartment of Global Health and Population, Harvard T H Chan School of Public Health, Boston, MA, USA.
Neena R KapoorDepartment of Global Health and Population, Harvard T H Chan School of Public Health, Boston, MA, USA.
Margaret E KrukDepartment of Global Health and Population, Harvard T H Chan School of Public Health, Boston, MA, USA.
Günther FinkSwiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland. Electronic address: guenther.fink@swisstph.ch.
Emelda A OkiroPopulation and Health Impact Surveillance Group, Kenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Harvard Global Health Institute · USPublic Health Foundation of India · INUniversity of Basel · CHKenya Medical Research Institute · KEGovernment of Ethiopia · ETUniversity of KwaZulu-Natal · ZAUniversity of Oxford · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

Despite major efforts to achieve universal health coverage (UHC), progress has lagged in many African and Asian countries. A key strategy pursued by many countries is the use of health insurance to increase access and affordability. However, evidence on insurance coverage and on the association between insurance and UHC is mixed. We analysed nationally representative cross-sectional data collected between 2022 and 2023 in Ethiopia, Kenya, South Africa, India, and Laos. We described public and private insurance coverage by sociodemographic factors and used logistic regression to examine the associations between insurance status and seven health-care use outcomes. Health insurance coverage ranged from 25% in India to 100% in Laos. The share of private insurance ranged from 1% in Ethiopia to 13% in South Africa. Relative to the population with private insurance, the uninsured population had reduced odds of health-care use (adjusted odds ratio 0·68, 95% CI 0·50-0·94), cardiovascular examinations (0·63, 0·47-0·85), eye and dental examinations (0·54, 0·42-0·70), and ability to get or afford care (0·64, 0·48-0·86); private insurance was not associated with unmet need, mental health care, and cancer screening. Relative to private insurance, public insurance was associated with reduced odds of health-care use (0·60, 0·43-0·82), mental health care (0·50, 0·31-0·80), cardiovascular examinations (0·62, 0·46-0·84), and eye and dental examinations (0·50, 0·38-0·65). Results were highly heterogeneous across countries. Public health insurance appears to be only weakly associated with access to health services in the countries studied. Further research is needed to improve understanding of these associations and to identify the most effective financing strategies to achieve UHC.

Indexed as

Insurance CoverageUniversal Health InsuranceCross-Sectional StudiesHealth ServicesHumansInsurance, Health

Identifiers

PMID38096884
PMCPMC10716621
OpenAlexW4389575008

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.