Evidence map›Paper›PMID 37484315›Full record

ArticleHeliyon2023

A cross-sectional analysis of the impact of health insurance on the use of health care in Rwanda.

Roger Muremyi, Dominique Haughton, François Niragire, Ignace Kabano

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

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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

4 authors at 2 institutions in 3 countries.

Roger MuremyiAfrican Centre of Excellence in Data Science, University of Rwanda, Kigali, Rwanda.
Dominique HaughtonMathematical Sciences and Global Studies, Bentley University, Université Paris 1 Panthéon Sorbonne (SAMM), Université Toulouse 1 (TSE-R), Boston, USA.
François NiragireDepartment of Applied Statistics, University of Rwanda, Kigali, Rwanda.
Ignace KabanoAfrican Centre of Excellence in Data Science, University of Rwanda, Kigali, Rwanda.
University of Kigali · RWBentley University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although the policy in Rwanda aims at ensuring quality healthcare, a portion of the Rwandan population still does not have access to it due to the lack of health insurance. This study investigates the impact of health insurance on healthcare utilization in all 30 administrative districts of Rwanda, using secondary data from the 5th Integrated Household Living Conditions Survey (EICV 5) in Rwanda, with a total of 14,580 households. A logistic regression model was used to evaluate the effects of health insurance on healthcare utilization, and a decision tree model was adopted to categorize districts based on the use of health services. This study has made a novel contribution to the existing research by classifying districts based on similarities in the use of health care services, regarding households with or without health insurance. The results showed a significant age effect on the use of health care services for household heads with an age range of 56-65, a significant increase was observed with an adjusted odds ratio of AO = 1.308, (95% CI: 1.044-1.639). It was the same for the household heads whose age range is 66-75 with an adjusted odds ratio of A0 = 1.589 with (95% CI: 1.244-2.028) and those aged 76 and older with an adjusted odds ratio of AO = 1.524, with (95% CI: 1.170-1.985). Households with health insurance interacted with districts (A0 = 2.76) increased health service use threefold compared to households without health insurance, female-headed households increased health service use (AO = 1.423, 95% CI:1.293-1.566) 1.4-fold compared to male-headed households, while households in the third quintile (AO = 1.198, 95% CI: 1.035-1.385) used health services 1.2 times compared to those in the first quintile; households in the fourth quintile (AO = 1.307, 95% CI: 1.134-1.506) and in the fifth quintile (AO = 1.307, 95% CI: 1.136 1.504) used health services 1.3 times compared to those in the first quintile. Similarly, for the households located in the main district group 4 variable had an odds ratio of 1.386 with (95% CI: 1.242-1.547), indicating that the households located in the main district group 4 use the health care services 1.4 times higher compared to those located in Ruhango district. Households in Rwanda who lack health insurance do not utilize health services to their full capacity, which has a negative influence on the wellbeing of the country's population. The researchers recommend that future policies target households in rural areas with an elderly head of household and those without health insurance that have a low usage of health care services in Rwanda. They also recommend that health insurance fees are reduced in order to increase health coverage rate as recommended by the World Health Organization.

Indexed as

Cross-sectionalDecision treeHealthcare servicesHealth insuranceLogistic regressionRwanda

Identifiers

PMID37484315
PMCPMC10361221
OpenAlexW4380204225

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.