Evidence map›Paper›PMID 25411021›Full record

ArticleBMC health services research2014

Determinants of community health fund membership in Tanzania: a mixed methods analysis.

Jane Macha, August Kuwawenaruwa, Suzan Makawia, Gemini Mtei, Josephine Borghi

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC health services research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 3 pooled it
5.0field-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

58 citing papers in PubMed, 3 syntheses or guidelines pooled it, 110 citations in OpenAlex.

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  14. Care seeking for childhood illnesses in rural Mtwara, south-east Tanzania: a mixed methods study.Transactions of the Royal Society of Tropical Medicine and Hygiene · 2024
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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

5 authors at 2 institutions in 2 countries.

Jane MachaIfakara Health Institute, P.O BOX 78373, Plot 463, Kiko Ave., Mikocheni, Dar es Salaam, Tanzania. jmacha@ihi.or.tz.
August KuwawenaruwaIfakara Health Institute, P.O BOX 78373, Plot 463, Kiko Ave., Mikocheni, Dar es Salaam, Tanzania. ajoackim@ihi.or.tz.
Suzan MakawiaIfakara Health Institute, P.O BOX 78373, Plot 463, Kiko Ave., Mikocheni, Dar es Salaam, Tanzania. smakawia@ihi.or.tz.
Gemini MteiIfakara Health Institute, P.O BOX 78373, Plot 463, Kiko Ave., Mikocheni, Dar es Salaam, Tanzania. gmtei@ihi.or.tz.
Josephine BorghiIfakara Health Institute, P.O BOX 78373, Plot 463, Kiko Ave., Mikocheni, Dar es Salaam, Tanzania. jo.borghi@lshtm.ac.uk.
Ifakara Health Institute · TZLondon School of Hygiene & Tropical Medicine · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn many developing countries, initiatives are underway to strengthen voluntary community based health insurance as a means of expanding access to affordable care among the informal sector. However, increasing coverage with voluntary health insurance in low income settings can prove challenging. There are limited studies on determinants of enrolling in these schemes using mixed methods. This study aims to shed light on the characteristics of those joining a community health fund, a type of community based health insurance, in Tanzania and the reasons for their membership and subsequent drop out using mixed methods.

methodsA cross sectional survey of households in four rural districts was conducted in 2008, covering a total of 1,225 (524 members of CHF and 701 non-insured) households and 7,959 individuals. In addition, 12 focus group discussions were carried out with CHF members, non-scheme members and members of health facility governing committees in two rural districts. Logistic regression was used to assess the determinants of CHF membership while thematic analysis was done to analyse qualitative data.

resultsThe quantitative analysis revealed that the three middle income quintiles were more likely to enrol in the CHF than the poorest and the richest. CHF member households were more likely to be large, and headed by a male than uninsured households from the same areas. The qualitative data supported the finding that the poor rather than the poorest were more likely to join as were large families and of greater risk of illness, with disabilities or persons with chronic diseases. Households with elderly members or children under-five years were also more likely to enrol. Poor understanding of risk pooling deterred people from joining the scheme and was the main reason for not renewing membership. On the supply side, poor quality of public care services, the limited benefit package and a lack of provider choice were the main factors for low enrolment.

conclusionsDeterminants of CHF membership are diverse and improving the quality of health services and expanding the benefit package should be prioritised to expand voluntary health insurance coverage.

Indexed as

AdultAgedAged, 80 and overChildCross-Sectional StudiesDeveloping CountriesFemaleFocus GroupsHealth ServicesHumansInsurance, HealthMaleMiddle AgedPovertyRural PopulationSocioeconomic Factors

Identifiers

PMID25411021
PMCPMC4246628
OpenAlexW2060101414

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.