Evidence map›Paper›PMID 31462303›Full record

SynthesisInternational journal for equity in health2019

Leaving no one behind? Social inclusion of health insurance in low- and middle-income countries: a systematic review.

Suzanne G M van Hees, Timothy O'Fallon, Miranda Hofker, Marleen Dekker, Sarah Polack, Lena Morgon Banks, Ernst J A M Spaan

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in International journal for equity in health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 5 pooled it
8.3field-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

63 citing papers in PubMed, 5 syntheses or guidelines pooled it, 89 citations in OpenAlex.

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3 more citing papers are in PubMed but not listed here.

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

7 authors at 4 institutions in 2 countries.

Suzanne G M van HeesRadboud Institute for Health Sciences (RIHS), Department for Health Evidence, Radboud University Medical Centre, Nijmegen, The Netherlands. vanheessuzanne@gmail.com.ORCID 0000-0002-0281-7909
Timothy O'FallonInternational Centre for Evidence in Disability, London School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0001-9267-9126
Miranda HofkerVU University Amsterdam, Amsterdam, The Netherlands.
Marleen DekkerAfrican Studies Center, Leiden University, Leiden, The Netherlands.ORCID 0000-0002-3584-8664
Sarah PolackInternational Centre for Evidence in Disability, London School of Hygiene and Tropical Medicine, London, UK.
Lena Morgon BanksInternational Centre for Evidence in Disability, London School of Hygiene and Tropical Medicine, London, UK.
Ernst J A M SpaanRadboud Institute for Health Sciences (RIHS), Department for Health Evidence, Radboud University Medical Centre, Nijmegen, The Netherlands.ORCID 0000-0002-7291-3699
London School of Hygiene & Tropical Medicine · GBHAN University of Applied Sciences · NLLeiden University · NLRadboud University Nijmegen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne way to achieve universal health coverage (UHC) in low- and middle-income countries (LMIC) is the implementation of health insurance schemes. A robust and up to date overview of empirical evidence assessing and substantiating health equity impact of health insurance schemes among specific vulnerable populations in LMICs beyond the more common parameters, such as income level, is lacking. We fill this gap by conducting a systematic review of how social inclusion affects access to equitable health financing arrangements in LMIC.

methodsWe searched 11 databases to identify peer-reviewed studies published in English between January 1995 and January 2018 that addressed the enrolment and impact of health insurance in LMIC for the following vulnerable groups: female-headed households, children with special needs, older adults, youth, ethnic minorities, migrants, and those with a disability or chronic illness. We assessed health insurance enrolment patterns of these population groups and its impact on health care utilization, financial protection, health outcomes and quality of care.

resultsThe comprehensive database search resulted in 44 studies, in which chronically ill were mostly reported (67%), followed by older adults (33%). Scarce and inconsistent evidence is available for individuals with disabilities, female-headed households, ethnic minorities and displaced populations, and no studies were yielded reporting on youth or children with special needs. Enrolment rates seemed higher among chronically ill and mixed or insufficient results are observed for the other groups. Most studies reporting on health care utilization found an increase in health care utilization for insured individuals with a disability or chronic illness and older adults. In general, health insurance schemes seemed to prevent catastrophic health expenditures to a certain extent. However, reimbursements rates were very low and vulnerable individuals had increased out of pocket payments.

conclusionDespite a sizeable literature published on health insurance, there is a dearth of good quality evidence, especially on equity and the inclusion of specific vulnerable groups in LMIC. Evidence should be strengthened within health care reform to achieve UHC, by redefining and assessing vulnerability as a multidimensional process and the investigation of mechanisms that are more context specific.

Indexed as

Developing CountriesHealth Care ReformHealth EquityHealth ExpendituresInsurance, HealthUniversal Health InsuranceVulnerable PopulationsHumansIncomePovertyEquityHealth insurance schemesSocial inclusionUniversal health coverageVulnerable groups

Identifiers

PMID31462303
PMCPMC6714392
OpenAlexW2971334116

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.