Evidence map›Paper›PMID 37383882›Full record

ArticleHealth policy OPEN2023

Whether or not to enroll, and stay enrolled? A Tanzanian cross-sectional study on voluntary health insurance.

Alphoncina Kagaigai, Amani Thomas Mori, Amani Anaeli, Sverre Grepperud

Open access · goldAbstract read
In one paragraph

Article in Health policy OPEN, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

4 authors at 3 institutions in 2 countries.

Alphoncina KagaigaiUniversity of Oslo, Institute of Health and Society, Department of Health Management and Health Economics, P.O. Box, 0315 Oslo, Norway.
Amani Thomas MoriUniversity of Bergen, Department of Global Health and Primary Health Care, P.O. Box, 5007 Bergen, Norway.
Amani AnaeliMuhimbili University of Health and Allied Sciences, School of Public Health and Social Sciences, Department of Development Studies, P.O. Box, 65001 Dar es Salaam, Tanzania.
Sverre GrepperudUniversity of Oslo, Institute of Health and Society, Department of Health Management and Health Economics, P.O. Box, 0315 Oslo, Norway.
Muhimbili University of Health and Allied Sciences · TZUniversity of Bergen · NOUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lower-middle income countries (LMICs) have invested significant effort into expanding insurance coverage as a means of improving access to health care. However, it has proven challenging to fulfill these ambitions. This study investigates to what extent variables associated with the enrollment decision (stay never-insured or enroll) differ from variables associated with the dropout decision (stay insured or drop out). A cross-sectional survey that included 722 households from rural districts in Tanzania was conducted and multinomial logistic regressions were performed to determine the associations between independent variables and membership status (never-insured, dropouts, or currently insured). Both the decision to enrollment and the decision to drop out were significantly associated with the presence of chronic disease and perceptions about the quality of services provided, insurance scheme management, and traditional healers. The effect of other variables, such as age, gender and educational level of the household head, household income, and perceptions about premium affordability and benefit-premium ratios, varied across the two groups. To improve voluntary health insurance coverage, policymakers must simultaneously increase the enrollment rate among the never-insured and reduce the dropout rate among the insured. Our conclusions suggest that policies to increase insurance scheme enrollment rates should differ for the two uninsured groups.

Indexed as

Community-Based Health Insurance Schemes (CBHIs)Drop-outsEnrolment decisionMultinomial regressionVoluntary health insurance

Identifiers

PMID37383882
PMCPMC10297742
OpenAlexW4365447394

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.