scholarly journals Client satisfaction on community based health insurance scheme and associated factors at Boru Meda Hospital, Northeast, Ethiopia: institutional based cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mulugeta Tasew Hailie ◽  
Seid Legesse Hassen ◽  
Minwuyelet Maru Temesgen
Keyword(s):  
Health Insurance ◽  
Waiting Time ◽  
Client Satisfaction ◽  
Service Providers ◽  
Cross Sectional Study ◽  
Insurance Scheme ◽  
Community Based ◽  
Cross Sectional ◽  
Community Based Health Insurance ◽  
Study Participants

Abstract Background Community-based health insurance systems are usually voluntary and characterized by community members pooling funds and protecting themselves against the high costs of seeking medical care and treatment for illness. Client satisfaction with health service provision during the implementation of health insurance schemes has often been neglected. This study aimed to determine client satisfaction with the community-based health insurance scheme and associated factors. Methods An institutional-based cross-sectional study design was applied from February 22–March 11 /2019. A total of 420 study participants were included in the study using a systematic random sampling technique. Data were collected using a pretested semi-structured interviewer-administered questionnaire with a patient exit interview. Bivariate and multivariate logistic regression analyses were used to identify factors associated with Community-based Health Insurance of client satisfaction. Statistical significance was decided at a p-value less than 0.05. Result A total of 420 community-based health insurance clients of health service users participated in the study with a 100% response rate. The overall client satisfaction was 80% at 95% Cl (76.1, 83.9), respondents who have perceived that partially or none availability of prescribing drugs were 0.09 times less likely satisfied as compared to full availability of prescribing drugs (AOR =0.09; 95% Cl: (0.04, 0.19)). Besides, study participants waiting time to consult service providers within 30 min were more satisfied than those who were delayed 60 min and above (AOR =3.16; 95% Cl: (1.19, 8.41)). Conclusion Community-based health insurance client satisfaction provided in the present study was 80% indicating low proportion. Full availability of prescribing drugs, clients renewed their community-based health insurance membership, and preference of clients to use the hospital for future health care need were positively associated with client satisfaction while the perception of waiting time before physician consultation negatively affected client’s satisfaction. Therefore, the hospital management members and service providers need to give attention to reduce waiting time preceding consultation, improve drug availability, and sustain the hospital preference by the client.

scholarly journals Willingness of community based health insurance uptake and associated factors among urban residents of Oromia regional state, Oromia, Ethiopia, a cross-sectional study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Alem Deksisa ◽  
Meyrema Abdo ◽  
Ebrahim Mohamed ◽  
Daniel Tolesa ◽  
Sileshi Garoma ◽  
...  
Keyword(s):  
Health Insurance ◽  
Willingness To Pay ◽  
Associated Factors ◽  
Cross Sectional Study ◽  
Urban Residents ◽  
Sectional Study ◽  
Community Based ◽  
Cross Sectional ◽  
Community Based Health Insurance ◽  
Regional State

Abstract Background Globally, Millions of people cannot use health services because of the fear of payment for the service at the time of service delivery. From the agenda of transformation and the current situation of urbanization as well as to ensure universal health coverage implementing this program to the urban resident is mandatory. The aim of this study is to assess the willingness of community-based health insurance (CBHI) uptake and associated factors among urban residents of Oromia regional state, Oromia, Ethiopia, 2018. Methods A community-based cross-sectional study was conducted. From the total of eighteen towns; six towns which account for 33% of the total were selected randomly for the study. One population proportion formula was employed to get a total of 845 households. A pre-tested, semi-structured interviewer-administered questionnaire was used to collect the required data. Double-Bounded Dichotomous Choice Variant of the contingent valuation method was used to assess the maximum willingness to pay for the scheme, and a multiple logistic regression model was used to determine the effect of various factors on the willingness to join and willingness to pay for the households. Result About 839 (99.3%) of the respondents participated. The mean ages of the respondents were 40.44(SD ± 11.12) years. 621 (74.1%) ever heard about CBHI with 473 (56.3%) knowing the benefits package. Out of 839, 724 (86.3%) were willing to uptake CBHI of which 704 (83.9%) were willing to pay if CBHI established in their town. Conclusion If CBHI established about 86.3% of the households would enroll in the scheme. Having education, with a family size between 3 & 6, having difficulty in paying for health care and less than 20mins it took to reach the nearest health facility were the independent predictors of the willingness of CBHI uptake. The Oromia and Towns Health Bureau should consider the availability of health facilities near to the community and establishing CBHI in the urban towns.

scholarly journals Factors Contributing to Low Adherence to Community-Based Health Insurance in Rural Nyanza District, Southern Rwanda

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Mecthilde Mukangendo ◽  
Manasse Nzayirambaho ◽  
Regis Hitimana ◽  
Assumpta Yamuragiye
Keyword(s):  
Health Insurance ◽  
Medical Care ◽  
Waiting Time ◽  
Care Provider ◽  
Care Service ◽  
Health Care Service ◽  
Community Based ◽  
Cross Sectional ◽  
Premium Payment ◽  
Community Based Health Insurance

Background. Community-based health insurance (CBHI) schemes are an emerging mechanism for providing financial protection against health-related poverty. In Rwanda, CBHI is being implemented across the country, and it is based on four socioeconomic categories of the “Ubudehe system”: the premiums of the first category are fully subsidized by government, the second and third category members pay 3000 frw, and the fourth category members pay 7000 frw as premium. However, low adherence of community to the scheme since 2011 has not been sufficiently studied. Objective. This study aimed at determining the factors contributing to low adherence to the CBHI in rural Nyanza district, southern Rwanda. Methodology. A cross-sectional study was conducted in nine health centers in rural Nyanza district from May 2017 to June 2017. A sample size of 495 outpatients enrolled in CBHI or not enrolled in the CBHI scheme was calculated based on 5% margin of error and a 95% confidence interval. Logistic regression was used to identify the determinants of low adherence to CBHI. Results. The study revealed that there was a significant association between long waiting time to be seen by a medical care provider and between health care service provision and low adherence to the CBHI scheme (P value < 0.019) (CI: 0.09107 to 0.80323). The estimates showed that premium not affordable (P value < 0.050) (CI: 0.94119 to 9.8788) and inconvenient model of premium payment (P value < 0.001) (CI: 0.16814 to 0.59828) are significantly associated with low adherence to the CBHI scheme. There was evidence that the socioeconomic status as measured by the category of Ubudehe (P value < 0.005) (CI: 1.4685 to 8.93406) increases low adherence to the CBHI scheme. Conclusion. This study concludes that belonging to the second category of the Ubudehe system, long waiting time to be seen by a medical care provider and between services, premium not affordable, and inconvenient model of premium payment were significant predictors of low adherence to CBHI scheme.

scholarly journals Do household perceptions influence enrolment decisions into community-based health insurance schemes in Tanzania?

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Alphoncina Kagaigai ◽  
Amani Anaeli ◽  
Amani Thomas Mori ◽  
Sverre Grepperud
Keyword(s):  
Health Insurance ◽  
Statistical Tests ◽  
Statistical Significance ◽  
Principal Component ◽  
Insurance Scheme ◽  
Community Based ◽  
Cross Sectional ◽  
Community Based Health Insurance ◽  
Logistic Regressions

Abstract Background Several countries including Tanzania, have established voluntary non-profit insurance schemes, commonly known as community-based health insurance schemes (CBHIs), that typically target rural populations and the informal sector. This paper considers the importance of household perceptions towards CBHIs in Tanzania and their role in explaining the enrolment decision of households. Methods This was a cross-sectional household survey that involved 722 households located in Bahi and Chamwino districts in the Dodoma region. A three-stage sampling procedure was used, and the data were analyzed using both factor analysis (FA) and principal component analysis (PCA). Statistical tests such as Bartlett’s test of sphericity, Kaiser-Meyer-Olkin (KMO) for sampling adequacy, and Cronbach’s alpha test for internal consistency and scale reliability were performed to examine the suitability of the data for PCA and FA. Finally, multivariate logistic regressions were run to determine the associations between the identified factors and the insurance enrolment status. Results The PCA identified seven perception factors while FA identified four factors. The quality of healthcare services, preferences (social beliefs), and accessibility to insurance scheme administration (convenience) were the most important factors identified by the two methods. Multivariate logistic regressions showed that the factors identified from the two methods differed somewhat in importance when considered as independent predictors of the enrollment status. The most important perception factors in terms of strength of association (odds ratio) and statistical significance were accessibility to insurance scheme administration (convenience), preferences (beliefs), and the quality of health care services. However, age and income were the only socio-demographic characteristics that were statistically significant. Conclusion Household perceptions were found to influence households’ decisions to enroll in CBHIs. Policymakers should recognize and consider these perceptions when designing policies and programs that aim to increase the enrolment into CBHIs.

scholarly journals Does Household Perceptions Influence Enrolment Decisions into Community-Based Health Insurance Schemes in Tanzania?

2020 ◽  
Author(s):  
Alphoncina Kagaigai ◽  
Amani Anaeli ◽  
Amani Thomas Mori ◽  
Sverre Grepperud
Keyword(s):  
Health Insurance ◽  
Statistical Tests ◽  
Statistical Significance ◽  
Principal Component ◽  
Insurance Scheme ◽  
Community Based ◽  
Cross Sectional ◽  
Community Based Health Insurance ◽  
Logistic Regressions

Abstract Background: Several countries including Tanzania, have established voluntary non-profit insurance schemes, commonly known as community-based health insurance schemes (CBHIs), that typically target rural populations and the informal sector. This paper considers the importance of household perceptions towards a CBHIs in Tanzania and their role in explaining the enrolment decision of households. Methods: This is a cross-sectional household survey that involves 722 households located in Bahi and Chamwino districts in Dodoma region. A three-stage sampling procedure was used, and the data were analyzed using both factor analysis (FA) and principal component analysis (PCA). Statistical tests such as Bartlett’s test of sphericity, Kaiser-Meyer-Olkin (KMO) for sampling adequacy, and the Cronbach’s alpha to measure internal consistency and scale reliability were performed to examine the suitability of the data for PCA and FA. Finally, multivariate logistic regressions were run to determine the associations between the identified factors and the insurance enrolment status. Results: PCA identified 7 perception factors while FA identified 4 factors. The quality of healthcare services, preferences (social beliefs), and accessibility to insurance scheme administration (convenience) were the common most important factors identified by the two methods. Multivariate logistic regressions showed that the factors identified from the two methods differed somewhat in importance when considered as independent predictors of the enrollment status. The most important perception factors in terms of strength of association (odds ratio) and statistical significance were accessibility to insurance scheme administration (convenience), preferences (beliefs), and the quality of health care services. Age and income were the only demographic characteristics that were significant. Conclusion: Household perceptions influence households’ decisions to enroll in CBHIs. Policymakers should recognize and consider the role of perceptions when designing policies that aim to increase the enrolment into CBHIs.

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