Evidence map›Paper›PMID 30289056›Full record

ArticleGlobal health action2018

Who enrols in voluntary micro health insurance schemes in low-resource settings? Experience from a rural area in Bangladesh.

Shehrin Shaila Mahmood, Syed Manjoor Ahmed Hanifi, Mohammad Nahid Mia, Asiful Haidar Chowdhury, Mahabubur Rahman, Mohammad Iqbal, Abbas Bhuiya

Abstract read
In one paragraph

Article in Global health action, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Education and Experience as Determinants of Micro Health Insurance Enrolment.International journal of health policy and management · 2021
    Article
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.

Shehrin Shaila Mahmooda Universal Health Coverage, Health Systems and Population Studies Division , icddr,b , Dhaka , Bangladesh.
Syed Manjoor Ahmed Hanifia Universal Health Coverage, Health Systems and Population Studies Division , icddr,b , Dhaka , Bangladesh.
Mohammad Nahid Miaa Universal Health Coverage, Health Systems and Population Studies Division , icddr,b , Dhaka , Bangladesh.
Asiful Haidar Chowdhurya Universal Health Coverage, Health Systems and Population Studies Division , icddr,b , Dhaka , Bangladesh.
Mahabubur Rahmana Universal Health Coverage, Health Systems and Population Studies Division , icddr,b , Dhaka , Bangladesh.
Mohammad Iqbala Universal Health Coverage, Health Systems and Population Studies Division , icddr,b , Dhaka , Bangladesh.
Abbas Bhuiyab Centre for Global Health, Population and Policy , University of Portsmouth , Portsmouth , UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicro health insurance (MHI) has proved to be a potential health-financing tool for many developing countries. Bangladesh also included MHI in its current health-financing strategy which aims to achieve universal health coverage. However, low uptake, low renewal and high dropouts have historically challenged financial sustainability of these schemes.

objectiveThis study aims to identify factors influencing people from low-resource settings, particularly those from Bangladesh, to enrol in MHI schemes.

methodsThe study analyses the 'Amader Shasthya' MHI scheme operating in Chakaria, a sub-district under Cox's Bazar district, Bangladesh. A household survey was carried out during May-June 2016 among 2,000 households from the scheme coverage area. The Outreville's insurance-demand framework was used to identify enrolment influencing factors. Multivariate logistic regression analysis was carried out to identify significant influencing factors of enrolment.

resultsEnrolment influencing factors were identified in four dimensions: economic, socio-cultural, demographic and structural. Households with the main income earner having 10+ years of schooling (odds 1.9 [CI 1.2-2.9] compared to illiterate), having financial literacy (odds 1.5 [CI 1.2-1.8] compared to financially illiterate) and being a public/private service holder (odds 1.6 [CI 1.1-2.4] compared to menial labour) were more likely to enrol. Membership in development programmes of NGOs also influenced enrolment decision significantly (odds 1.3 [CI 1.0-1.5]). The presence of chronic illness in household encouraged enrolment (odds 1.5 [CI 1.2-1.8]). Households living closer to health centres were more likely to enrol (odds 2.1 [CI 1.6-2.7]) compared to those living further away.

conclusionThe findings are expected to have significant implications in terms of designing similar health insurance schemes, particularly in terms of designing demand-driven and context adapted schemes that have greater potential to attract a larger client pool, ensure effective risk pooling and eventually expedite the achievement of universal health coverage in low-resource settings.

Indexed as

Healthcare FinancingAdultBangladeshDecision MakingDeveloping CountriesFemaleHumansInsurance, HealthMaleMiddle AgedPovertyRural PopulationSocioeconomic FactorsUniversal Health InsuranceBangladeshenrolmentHealth financingmoral hazardOutreville’s insurance demand framework

Identifiers

PMID30289056
PMCPMC6179054

What OpenQuestion holds

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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.