Table 1:

Characteristics of the individual included studies, Ethiopia (n = 25), 2023.

Author name Published year	Aim of the study	Study design	Sample size	Study setting	The model used for analysis	Purpose of Model
Bayked etal., 2023(6)	To evaluate the impact of Ethiopia’s CBHI	Systematic review	23 studies	Ethiopia	Random Model	To measure the effect of estimates
Alemayehu et al., 2023a(33)	To assess Health services utilization and financial risk protection	Comparative cross-sectional	4301 Households	Ethiopia	Logistic regression Model	To measure financial risk protection and Health Services Utilization
Asfaw et al., 2022a(41)	investigates the household welfare impact of CBHI	Cross-sectional	531 households	Chilga District, Amhara Regional State, Central Gondar Zone, Ethiopia	Probit and propensity score matching (PSM)	To measure the impact of CBHI on welfare
Mulat et al., 2022(45)	To identify early achievements in scaling up CBHI	Qualitative design	18 Key informants	Ethiopia	NA	NA
Kassa, 2023(30)	to evaluate the impact of CBHI on CHE	Comparative cross-sectional study	472 households	Kutaber district, Ethiopia.	A probit regression mode	To identify co-variants that affected CBHI scheme participation.
Addise et al., 2021 (42)	To assess the magnitude of satisfaction and associated factors	Community based cross-sectional study	627 households	Nilemo District, Hadiya Zone, Southern Ethiopia	Bivariate and multivariate logistic regression	to determine associations
Moyehodie et al., 2022a(28)	To identify factors associated with CBHI, Health Care Service Utilization	community-based cross-sectional study	619 households	Gonder town, Amhara, Ethiopia	binary logistic regression analyses	To determine association
Demissie and Gutema, 2020 (20)	To analyze the effects of a CBHI on healthcare	comparative cross-sectional	405 household heads	Yirgalem town, southern Ethiopia.	Multivariate logistic regression	To identify the effect of HRQoL
Gebru and Lentiro, 2018(1)	to measure the impact of CBHI on HRQoL	comparative community-based cross-sectional	1964 Households	SNNPR	linear regression analysis	To describe the functional predictors of health-related QoL.
Christian, 2017(47)	To establish the impact of the public health project on CBHI performance	Qualitative	45 staff working for CBHI	Ethiopia	NA	Na
Moyehodie et al., 2022b(51)	To identify the individual and community-level factors associated with CBHI enrollment	EDHS	8663 Households nested and 305 community	nationally representative, Ethiopia	NA	NA
Gashaw, 2020(7)	To assess the level of household satisfaction in CBHI	Cross-sectional (Quantitative)	336 CBHI beneficiaries	Addis Ababa, Ethiopia	NA	NA
Abdilwohab et al., 2021(40)	To establish the impact of the public health project on CBHI performance	A community-based cross-sectional	386 HHs	Addis Ababa	Na	NA
Shigute et al., 2020(35)	To measure the impact of CBHI on Health-related quality of life	Comparative community-based cross-sectional	1964 HHs	Southern Ethiopia	NA	NA
Atinafu etal., 2018 (32)	To compare differences in health care utilization between CBHI member and non-member households	Comparative community-based cross-sectional	652 (326 insured and 326 uninsured)	North-west, Ethiopia	NA	NA
Workneh and Woreta, 2017(34)	To assess the compliance of the community to the CBHI scheme	A community-based cross-sectional	511 respondents	The hudere district, Northwest, Ethiopia	Bivariate and Multivariate logistic regression models	To find associated factors with the outcome variables
Mekonen etal., 2018 (29)	investigated the effect of CBHI on catastrophic health expenditure	A community-based cross-sectional	454 (224 insured and 230 uninsured)	Northeast Ethiopia	A Multi stage sampling technique and propensity score matching	To determine the effect of CBHI on catastrophic health expenditure.
Jembere, 2018(31)	To examine access, use and quality of services after the introduction of the scheme in Ethiopia	Cross-sectional	344 head of HHs	Thehudere district, Northwest, Ethiopia	Statistical test T-test and ANOVA model Pearson correlation	To examine group differences and see the relationship
Mitiku Kebede and Geberetsadik, 2019(37)	to assess the level of household satisfaction with the CBHI scheme and associated factors	Cross-sectional study	528 households	Sheko district; southwest Ethiopia.	logistic regression analyses	To determine the independent predictors of household’s satisfaction with CBHI
Fufa etal., 2021(39)	to assess the satisfaction level of the Community for health insurance	A facility-based cross-sectional	399 patients	Arsi Nagele Woreda Health Centres	logistic regression	To identify determinant factors the satisfaction of CBHI client on the public health service
Geferso and Sharo, 2022(48)	to determine community-based health insurance utilization and its associated factors among rural households	A quantitative community-based cross-sectional	600 households	Akaki District, Oromia special zone surrounding Finfinnee, Oromia, Ethiopia	A binary logistic regression model	to identify the factors associated with CBHI utilization
Bantie and Zewdie, 2020(43)	to determine knowledge and attitude levels towards CBHI	community-based cross-sectional	335 informal workers.	Bahir Dar City	Logistic regression analysis	To identify potential associations between the study variables.
Kaso et al., 2022 (44)	assessed the CBHI membership renewal rate	community-based cross-sectional	537 respondents	Yirga Chafe district, Gedeo zone, Southern Ethiopia	logistic regression model	determine factors associated with the CBHI scheme
Girmay and Reta, 2022(38)	To assess CBHI services usage and related factors	Community-based cross-sectional	652 participants	Gulele Subcity	Logistic regression model	To find associated factors
Mussa et al., 2021(53)	To examine CBHI enrollment	Cross-sectional	5398 PSMP beneficiary households	Ethiopia	Logistics regression model	To identify factors associated with households’ CBHI enrollment decisions