What role does community-based health insurance play in the utilisation of health services among households in Ethiopia? A community-based comparative cross-sectional study.

OBJECTIVE: In Ethiopia, despite increased health service coverage, health service utilisation remains very low. However, evidence on the level of health service utilisation between insured and non-insured households in the study area was scanty. Therefore, this study aimed to assess health service utilisation and its predictors among insured and non-insured households of community-based health insurance in the East Wallaga Zone, Oromia region, Ethiopia, in 2022. METHODS: A community-based comparative cross-sectional study was employed. Data were collected using semi-structured interviewer-administered pretested questionnaire by face-to-face interviewing of heads of the households or spouse from 1 January 2022 to 30 January 2022, on 900 (450 insured and 450 non-insured). Epi-Data V.3.1 and Statistical Package for Social Science V.26 were used for data entry and analysis, respectively. The association between dependent (health service utilisation) and independent variables was analysed first using binary logistic regression. Multivariable logistic regression was used to identify potential predictor variables at a p<0.05. RESULTS: About 60.5% (95% CI 55.7% to 64.8%) of insured households had used health services compared with 45.9% (95% CI 41.4% to 50.9%) of non-insured households in the last 6 months. Family health status (Adjusted Odd Ratio (AOR) and 95% CI=2.74 (1.37 to 5.45), AOR and 95% CI=1.62 (1.01 to 3.14)); family with chronic disease (AOR and 95% CI=8.33 (5.11 to 13.57), AOR and 95% CI=4.90 (2.48 to 9.67)); perceived availability of drugs (AOR and 95% CI=0.34 (0.15 to 0.79), AOR and 95% CI=3.97 (1.69 to 9.34)); perceived transportation cost (AOR and 95% CI=0.44 (0.21 to 0.90), AOR and 95% CI=1.71 (1.00 to 2.93)); participated in indigenous community insurance (AOR and 95% CI=3.82 (1.96 to 7.45), AOR and 95% CI=0.13 (0.06 to 0.29)) and >10 km travel distance from nearby health facilities (AOR and 95% CI=1.52 (1.02 to 2.60), AOR and 95% CI=8.37 (4.54 to 15.45)) among insured and non-insured households, respectively, were predictors of health service utilisation. CONCLUSION: Insured households were more likely to utilise health services compared with non-insured households. Family health status, family with chronic disease, perceived availability of drugs, perceived transportation cost, participation in indigenous community insurance and >10 km travel were predictors of health service utilisation among insured and non-insured households. Hence, the greatest emphasis should be given to enhancing enrolment in the community-based health insurance scheme to achieve universal health coverage.

Impact of the COVID-19 pandemic on the cost of chronic diseases treatment and care at public hospitals in Wallaga zones, Oromia Regional State, Ethiopia: a hospital-based, cross-sectional study.

OBJECTIVE: Globally, around one-third of the population has at least one long-term health condition that could be affected by the COVID-19 pandemic. Despite the fact that studies have revealed the direct impact of COVID-19 on healthcare provision and utilisation, the impact of the pandemic on the cost of chronic disease treatment and care from a patient perspective was scanty. So, the study aimed to determine the impact of the COVID-19 pandemic on cost of chronic diseases treatment and care at public hospitals in Wallaga zones, Oromia Regional State, Ethiopia, from 1 August to 31 August 2020. METHODS: An institutional-based cross-sectional study design was used, and the sample size for the study (n=642) was determined using a single population mean formula. Data were collected using interviews and analysed using SPSS V.25. Descriptive statistics were performed, and the cost of follow-up care before and after the pandemic was compared using a related-samples Wilcoxon signed-rank test, declaring the level of significance of the median cost difference at p<0.05. RESULTS: A total of 642 patients were included in the study, of whom 605 (94.2%) responded to the interviews. There was a significant median cost difference (n=593, Z=5.05, p=0.001) between the cost of chronic diseases among follow-up patients during the pandemic and the costs incurred by these patients before the pandemic. CONCLUSION: The cost of follow-up care among chronic disease patients during the COVID-19 pandemic was significantly higher compared with before the pandemic era. Therefore, healthcare providers should arrange special fee waiver mechanisms for chronic disease healthcare costs during such types of pandemics and provide the services at proximal health facilities.

Latrine utilization and associated factors among districts implementing and not-implementing community-led total sanitation and hygiene in East Wollega, Western Ethiopia: A comparative cross-sectional study.

INTRODUCTION: Discharge of excreta to the environment lead to surface and groundwater contamination and human exposure to disease-causing micro-organisms. There is limitation of evidences regarding the latrine utilization among community-led total sanitation and hygiene implemented and non-implemented districts of the East Wollega Zone. Hence, this study aimed to determine the magnitude and associated factors of latrine utilization among households in community-led total sanitation and hygiene implemented and non-implemented Districts in East Wollega Zone, Western Ethiopia. METHODS: A cross-sectional study was conducted. A Multi-stage sampling technique was applied to select the 461 households. Data were collected using interviews and observations guided by a pre-structured questionnaire. Data were entered using Epi Data and exported to SPSS software version 25 for data recording, cleaning, and statistical analysis. Bivariable logistic regression was run to identify the candidate variables at p-value <0.25. Variables that had associations with latrine utilization in the bi-variable analysis were entered together into multivariable logistic regression. An Adjusted odds ratio with a 95% confidence interval was calculated and P-value< 0.05 was used to declare a statistically significant association. RESULT: The overall prevalence of latrine utilization was found to be 52.7% (95%CI:48%, 57.3%). Religion (AOR = 0.149;95%CI:0.044,0.506), education (AOR = 3.861;95%CI:1.642,9.077), occupation, absence of children <5 years (AOR = 4.724;95%CI:2.313,9.648), toilet cleaning (AOR = 10.662;95%CI:5.571,20.403), frequency of latrine construction (AOR = 6.441;95%CI:2.203,18.826), maintenance need (AOR = 6.446; 95%CI:3.023,13.744), distance from health institution (AOR = 0.987; 95%CI:0.978, 0.996), distance from kebele office (AOR = 6.478; 95%CI:2.137,19.635), and latrine distance from dwelling (AOR = 11.656; 95%CI:2.108, 64.44) were the factors associated with latrine use. CONCLUSION: The latrine utilization in this study is low as compared to other studies. Religion, education, occupation, absence of children <5 years, toilet cleaning, frequency of latrine construction, maintenance need of the toilet, distance from health institution, distance from kebele, and latrine distance from dwelling are the associated factors of latrine utilization. Both households and health workers have to work together to improve latrine utilization and the safe disposal of children's feces.

Efficiency of Medical Equipment Utilization and Its Associated Factors at Public Referral Hospitals in East Wollega Zone, Oromia Regional State, Ethiopia.

Background: The significance of effectively using medical equipment has received widespread public attention. Due to its complex effects on healthcare costs and quality, the relationship between hospital features and medical equipment consumption has drawn increased attention. Therefore, the study aimed to evaluate the efficiency of medical equipment utilization and its associated factors. Methods: The study was conducted at public referral hospitals in East Wollega, Oromia Regional National State, Ethiopia, in 2021. A cross-sectional study design was mixed with observation and document review. The study included approximately 192 pieces of equipment. Descriptive statistics and Pearson Chi-square (χ 2) were used to identify associations between each independent and dependent variable at p<0.05 to declare level of significance. Results: Using 95% confidence interval (CI), the level of utilization coefficient was estimated to be 0.49 (0.44-0.55). As a result, 111 pieces of equipment (57.8%) were used efficiently, while 81 (42.2%) were underutilized. The form in which the hospitals received the equipment (χ 2=7.7.2; P=0.005), regular availability (χ 2=19.30; P=0.00), equipment breakdown (χ 2=11.57; P=0.001), the availability of trained staffs operating the equipment (χ 2=26.14; P=0.00), performing preventive maintenance (χ 2=91.54; P=0.00), the availability of spare parts (χ 2=32.36; P=0.00), and the availability of accessories (χ 2=43.91; P=0.00) were statistically significant factors affecting the medical equipment utilization. Conclusion: On average, the utilization coefficient of medical equipment in the study hospitals was low compared to other study findings, which indicated that 2 out of 5 pieces of medical equipment were under-utilized, which could be significantly affected by the form in which the hospital received the equipment, its regular availability, equipment breakdown, availability of trained staff operating the equipment, performing preventive maintenance, and availability of adequate spare parts and accessories. Every hospital should develop an appropriate strategic framework to manage and utilize the available medical diagnostic equipment based on its level and demand.

Determinants of community-based health insurance membership renewal decision among rural households in Kellem Wollega zone, Oromia regional state, Ethiopia: a community-based cross-sectional study.

Background: Despite the fact that community-based health insurance (CBHI) is a promising program to achieve the goal of universal health coverage (UHC), it faces challenges that are not only due to low enrollment but also due to membership renewal decision that impact its sustainability. Hence, the study aimed to identify the determinants of CBHI membership renewal decision among rural households in Kellem Wollega zone, Ethiopia. Methods: The study was conducted in Kellem Wollega, Ethiopia, among rural households from March 30-April 30, 2022, using a community-based cross-sectional study design. An interviewer-administered structured questionnaire through face-to-face interviews was used. Using a systematic random sampling method, 551 households were selected making 540 (98%) response rates. The data was entered into EPI Data 3.1 and analyzed using SPSS 25 software. Descriptive statistics, binary, and multiple logistic regressions were performed. Using multiple logistic regressions, a significant association between the CBHI membership renewal decision and independent variables was identified, declaring the statistical significance level using a 95% confidence interval (CI) at p < 0.05. Results: The overall rate of CBHI membership renewal decision among households was estimated to be 365 (67.6%, 95% CI = 63.7-71.5%). The factors that significantly influenced the households' membership renewal decision were family size (AOR = 0.46, 95% CI = 0.25-0.86), low literacy status (AOR = 0.28 95% CI = 0.12-0.64), lower than middle-level of wealth index (AOR = 9.80, 95% CI = 2.75-34.92), premium affordability (AOR = 4.34, 95% CI = 2.08-9.04), unavailability of services (AOR = 0.26, 95% CI = 0.12-0.55), trusting in health facilities (AOR = 5.81, 95% CI = 2.82-11.94), favorable providers' attitude toward members (AOR = 8.23, 95% CI = 3.96-19.64), good quality of service (AOR = 4.47, 95% CI = 2.28-8.85) and health care seeking behavior (AOR =3.25, 95% CI = 1.32-7.98). Conclusion: The overall CBHI membership dropout decision rate among rural households was high, which could affect health service provision and utilization. Therefore, the insurance scheme and contracted health facilities should consider and work on family size and wealth status when membership premiums are calculated, the education level of households when creating awareness about the scheme, building trust in the contracted health facilities by providing all promised benefit packages of health services with good quality, and improving the attitude of health care providers towards the scheme members.