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. 2024 Oct;53(10):2239–2250. doi: 10.18502/ijph.v53i10.16701

Table 2:

The sampling technique, data collection, analysis, and key relevant results Ethiopia (n = 25), 2023.

Author name Published year Sampling technique Data collection Instruments Method of Analysis Key relevant results
Bayked etal., 2023(6) A multistage sampling technique. Joana Briggs Institute checklists to assess the risk of bias Descriptive statistics by using Microsoft Excel and Rev Man-5 The UHC provided by the scheme was 45.6%
Alemayehu etal, 2023a(33) A multistage sampling technique. Propensity score matching (PSM) accounts for possible selection bias Descriptive statistics and Logistic regression (Bivariate and Multivariable) CBHI membership resulted in a 28–43% reduction in annual OOP payment as compared to non-member households
Asfaw etal, 2022(41) A multistage sampling technique. The primary data was also collected from observation and key informant interviews Secondary data: published and unpublished documents Descriptive statistical Econometric analysis approach The insured households associated with visits increased by 2.6 times, reduced per-capita health expenditure
Mulat etal, 2022(45) Purposive sampling technique Semi-structured interview guide directed content analysis (also called deductive content analysis) CBHI received strong political support and early pilots helped to inform the process of scaling up the scheme.
Kassa, 2023(30) multistage sampling techniques Household survey questionnaire propensity score matching analysis: Descriptive and logistic regression The magnitude of CHE was 39.1% with total household expenditure and 1.8% with non-food expenditure measures among insured households.
Addise etal., 2021(42) stratified sampling and systematic sampling pre-tested structured questionnaire. Descriptive statistics, bivariate, and multivariate logistic regression The magnitude of household heads’ satisfaction was 54.1%.
Moyehodie etal, 2022a (28) Simple random sampling Survey Chi-square and bi- variate logistic analysis Out of the total households, 511(82.6%) were using the CBHI scheme for health care service utilization
Demissie and Negara, 2020(20) Randomly selected sample Household survey, focus group discussions Descriptive, multivariate and bi-variate logistic regression The CBHI member households were about three times more likely to utilize outpatient care than their non-member counterparts
Gebru and Latino, 2018(1) two-stage stratified sampling World Health Organization QoL-BREF too Descriptive statistics and logistic regression QoL among CBHI-insured household heads increased by 12.41% than un-insured family heads
Christian, 2017(47) Two-stage stratified sampling Questionnaire and interview guide Descriptive statistics and logistic regression 89% of respondents confirmed that the project helps a lot the CBHI staff to improve their level of CBHI management.
Moyehodie etal., 2022b(51) Randomly selected sample Ethiopian Mini Demographics and Health Survey 2019 Multilevel logistic regressions The prevalence of CBHI enrollment in Ethiopia was 20%
Gashaw, 2020(7) two-stage stratified sampling Structured questionnaire Descriptive statistics, bivariate and multivariate logistic regression There was no significant association between socio-demographic characteristics and level of satisfaction of patients
Abdilwohab, 2021(40) Two-stage stratified sampling Pe-tested structured questionnaires Descriptive statistics and bivariate and multivariable linear regression CBHI process and management-related factors were also significantly associated with satisfaction.
Shigute etal., 2020(35) Randomly selected sample World Health Organization QoL-BRIEF Tool Descriptive summary, simple and multiple linear regression QoL among CBHI-insured household heads increased by 12.4% than those noninsured family heads
Atinafu etal, 2018(32) Two-stage stratified sampling Structure questionnaire Descriptive summary, simple and multiple regression, X2 test There was a significant difference in the rate of healthcare utilization between insured (50.5%) and uninsured (29.3%) households
Workeneh, 2017(34) Two-stage stratified sampling Self-Administered, structured, pre-tested questionnaire Descriptive Bivariate and multivariate logistic regression Appropriately 77.9% of the study population complied with CBHI requirements
Mokenen etal., 2018 (29) multistage random sampling survey Multivariate logistic regression and propensity score matching The total level of catastrophic health expenditure was found to be 20%. Among the households with catastrophic health expenditure, 4.41% were insured, whereas the remaining 15.64% were non-insured.
Jembere, 2018(31) Mixed method Household survey, FGDs, key informant and in-depth interviews Descriptive and qualitative CBHI improve access and overall quality of health service
Mitiku Kebede, 2019(37) Simple random sampling method Pre-tested and structured questionnaire. Descriptive statistics, bivariate and multivariable logistic regression analyses About 45% of households in the Sheko zone in Ethiopia were not satisfied with the CBHI scheme.
Fufa etal., 2021(39) Purposively Systematic random sampling Pre-test structured questioners And semi-structured questioners Descriptive statistics, bivariate and multivariable logistic regression analyses Overall customer satisfaction with health services received from the selected health institutions was 63.4 %.
Geferso and sharo, 2022(48) Multistage sampling design A standardized and structured questionnaire Descriptive, Bivariate and multivariate logistic regressions The magnitude of CBHI utilization was 398 (66.3%)
Banitie etal, 2020(43) Systematically Structured face-to-face interviews using a newly developed and validated questionnaire. Descriptive statistics, bivariate and multivariable logistic regression analyses 51% of them had good knowledge of CBHI, while 56% of participants had a favorable attitude towards CBHI.
Kaso, 2022 (44) Simple random sampling technique Structured questionnaire Descriptive statistics and Multivariate logistic regression The respondents’ CBHI membership renewal rate was 82.68%.
Girmay and Reta, 2022(38) Systematically Face-to-face interview Descriptive methods fitted binary logistic regression 60% of respondents utilize the CBHI services
Mussa etal., 2021(53) Simple random sampling Integrated safety nets programs baseline survey implemented Binary logistic regression and multiple regression Current CBHI enrollment is higher among PW households (70.1%) than PDS clients (50.3%)