Evidence map›Paper›PMID 36419050›Full record

ArticleBMC health services research2022

"Magnitude of community-based health insurance utilization and associated factors in Bassona Worena District, North Shoa Zone, Ethiopia: a community-based cross-sectional study".

Tomas Getahun, Lakech Teklesilassie, Mizan Habtemichael, Yonas Abebe, Helen Getahun

Abstract read
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Article in BMC health services research, 2022. 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
–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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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.

Tomas GetahunArmauer Hansen Research Institute - Ministry of Health, Addis Ababa, Ethiopia.
Lakech TeklesilassieDepartment of Public Health, College of Health Sciences, Debre Berhan University, Debre Birhan, Ethiopia.
Mizan HabtemichaelCollege of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia. mizanhabte924@gmail.com.
Yonas AbebeCollege of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Helen GetahunDepartment of Nursing, College of Health Sciences, Debre Berhan University, Debre Birhan, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe health insurance system has been proven to offer effective and efficient health care for the community, particularly community-based health insurance is expected to ensure health care access for people with low economic status and vulnerable groups. Despite the significance of evidence-based systems and implementation, there is a limited report about the magnitude of CBHI utilization. Therefore, this study was done to assess factors associated with community-based health insurance utilization in Basona Worena District, North Shewa Zone, Ethiopia.

methodA community-based cross-sectional study was employed. We have included 530 households from 6 randomly selected kebeles. The data was entered using Epi-Data V 3.1 and exported to SPSS version 20.0 for statistical analysis. Bi-variable and multivariable logistic regression analyses were computed to determine factors associated with community-based health insurance utilization.

resultThe study finding shows that 58.6% of the respondents were members of community-based health insurance. Respondents who had primary and secondary education levels were 2 times more likely to be members than those who had no formal education. As compared to those who had awareness, respondents who had no awareness about CBHI were 0.27 times less likely to be insured. Respondents who did not experience illness were 0.27 times less likely to be members than respondents who experienced illness.

conclusionEducational status, awareness about CBHI, perception of CBHI scheme and illness experience of family influence CBHI utilization. There is a need to strengthen awareness creation to improve the CBHI utilization.

Indexed as

Community-Based Health InsuranceCross-Sectional StudiesEthiopiaHumansInsurance, HealthMedical AssistanceCommunity-based health insuranceEthiopiaHealth insuranceNorth Shewa ZoneUtilization

Identifiers

PMID36419050
PMCPMC9686025

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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.