Background: Waiting time is defined as the total time that a patient spends in a facility from arrival at the registration desk until the time she/he leaves the facility or last service. In Ethiopia, the waiting time in the hospitals particularly in the outpatient department is lengthy. Studies at Jimma University specialized hospital indicated patients are forced to wait an average of 4.5 waiting hours to get service. Even there are many hospitals found in the zone, there is a paucity of information regarding waiting time and associated factors. Hence, this study is aimed to assess waiting time and associated factors at outpatient departments in Public Hospitals of Jimma zone, southwest Ethiopia. Methods: An institution-based cross-sectional study design was used from March 22 to June 3, 2020. A total of 422 study subjects were included in the study and systematic random sampling methods were used. The data were collected by observing the whole service points of each patient. The exit interview was made at the last point of the service unit. Descriptive statistics, bi-variable and multi-variable logistic regressions were used. Results: The whole waiting time patients spent in the hospitals before getting service was a minimum of 41 and a maximum of 185 min. Patients who came far from the hospitals were 1.93 times (AOR = 1.93; 95% CI, 1.16, 3.21) more likely to spend longer waiting time as compared to those who came from the hospital's area. Patients visited on Monday were 2.64 times (AOR = 2.64; 95% CI, 1.45, 4.79) more likely to spend longer waiting time than those who visited the hospital on Friday. Patients who arrived early in the morning were 3.22 times (AOR = 3.22; 95% CI, 1.32, 7.86) more likely to spend longer waiting time than those who arrived in the afternoon. Conclusions: The mean waiting time was higher than the average recommended time by Business Process Reengineering (BPR) and more than five out of every ten clients spent long waiting time at outpatient departments Waiting time was affected by Educational status, residence, arrival time, and date of the visit.

Background: Late antenatal care initiation is linked to a higher risk of maternal death. Women who do not start ANC at an early stage may experience the effects of pregnancy-related health difficulties, as well as long-term health issues and pregnancy complications. Therefore, our study aimed to determine the prevalence of late initiation of antenatal care and associated factors among pregnant women in Jimma Zone public Hospitals. Methods: A facility-based cross-sectional study design was employed in Jimma zone public hospitals from February 1 up to 30 March 2020 and 409 pregnant women were participated in the study by using a systematic random sampling method. Structured questionnaire was used to collect data that contain socio demographic variables, socio cultural variables, pregnancy related factors and predisposing factor related variables. The data was entered into EPI data version 3.1 and exported to SPSS version 20 for statistical analysis. Binary and multivariable logistic regression analysis were performed by using 95%CI and significance was declared at P < 0.05. Result: Forty-eight percent of pregnant women were initiated their first ANC late. Primary education (AOR = 0.242; 95% CI, 0.071–0.828) and college diploma and above was (AOR = 0.142; 95% CI, 0.040- 0.511), mothers with an unplanned pregnancy (AOR = 11.290; 95%CI, 4.109–31.023), time taken to arrive the health facility greater than sixty (60) minutes (AOR = 8.285; 95% CI, 2.794–24.564) and inadequate knowledge about ANC service (AOR = 4.181; 95%CI, 1.693–10.348) were associated with late first Antenatal care initiating. Conclusion: The prevalence of late initiation of ANC still remains a major public health concern in the study area. Level of education, unplanned pregnancy, distance from house to health facility, and lack of understanding about ANC services were all found to be significant variables in late ANC starting. As a result, healthcare workers can provide ongoing health education on the need of starting antenatal care visits early to avoid unfavorable pregnancy outcomes by considering all identified factors.

Background: Poor quality routine data contributes to poor decision-making, inefficient resource allocation, loss of confidence in the health system, and may threaten the validity of impact evaluations. For several reasons in most developing countries, the routine health information systems in those countries are described as ineffective. Hence, the aim of this study is to determine the quality of data and associated factors in the routine health management information system in health centers of Shashogo district, Hadiya Zone. Methods: A facility-based cross-sectional study was conducted from June 1, 2021, to July 1, 2021, and 300 participants were involved in the study through simple random sampling. The data was collected with a self-administered questionnaire by trained data collectors. After checking its completeness, the data was entered into EPI data version 3.1 and exported to SPSS version 25 for statistical analysis. Finally, variables with p < 0.05 during multivariable analysis were considered significant variables. Result: A total of 300(100%) participant were included in the interview and HMIS data quality was 83% in Shashogo district health centers. The data quality in terms of accuracy, completeness, and timeliness was 79%, 86%, and 84%, respectively. Conducting supportive supervision [AOR 3.5 (1.4, 8.9)], checking accuracy [AOR 1.3 (1.5, 3.5)], filling registrations [AOR 2.7 (1.44, 7.7)], and confidence level [AOR 1.9 (1.55, 3.35)] were all rated positively found to be factors associated with data quality. Conclusion: The overall level of data quality in Shashogo district health centers was found to be below the national expectation level. All dimensions of data quality in the district were below 90% in data accuracy, content completeness, and timeliness of data. Conducting supportive supervision, checking accuracy, filling registrations and confidence level were found to be factors associated with data quality. Hence, all stakeholders should give all necessary support to improve data quality in routine health information systems to truly attain the goal of providing good quality data for the decision-making process by considering the identified factors.

Background: Out-of-pocket health expenditure is the proportion of total health expenditure that is paid by individuals and households at the time of health service. Hence, the objective of this study is to assess the incidence and intensity of catastrophic health expenditure and associated factors among households in non-community-based health insurance districts in the Ilubabor zone, Oromia National Regional State, Ethiopia. Method: A community-based cross-sectional study design was employed in the Ilubabor zone on non-community-based health insurance scheme districts from August 13 to September 2, 2020, and 633 households participated in the study. A multistage one cluster sampling method was used to select three districts out of seven districts. Data was collected by using a structured mix of open and close-ended pre -tested questionnaires by face-to-face interviewing. A micro-costing/bottom up approach was used for all household expenditure. After checking its completeness, all household consumption expenditure was done by mathematical analysis using Microsoft Excel. Binary and multiple logistic were done using 95%CI and significance was declared at P < 0.05. Results: The number of households that participated in the study was 633, with a response rate of 99.7%. Out of 633 households surveyed, 110 (17.4%) were in catastrophe, which exceeds 10% of total household expenditure. After medical care expenses, about 5% of the households moved downward from the middle poverty line to extreme poverty. Out-of-pocket payment AOR: 31.201: 95% CI (12.965–49.673), daily income less than 1.90 USD AOR: 2.081: 95% CI (1.010–3.670), living a medium distance from a health facility AOR: 6.219: 95% CI (1.632–15.418), and chronic disease AOR: 5.647: 95% CI (1.764–18.075. Conclusion: In this study, family size, average daily income, out of pocket payment and chronic diseases were statistically significant and independent predictors for household catastrophic health expenditure. Therefore, to overcome financial risk, the Federal Ministry of Health should develop different guidelines and modalities by considering household per capita and income to improve the enrolment of community-based health insurance. Also, the regional health bureau should improve their budget share of 10% to increase the coverage of poor households. Strengthening financial risk protection mechanisms, such as community-based health insurance, could help to improve healthcare equity and quality.

Background: Different vaccines have been approved for use against coronavirus disease and distributed globally in different regions. Efforts should be made on the vaccination to control the spread and impacts of the coronavirus pandemic. However, the general population’s attitudes and intention to uptake coronavirus disease 2019 (COVID-19) vaccinations were poor. Objective: This study aimed to assess the barriers to and intention to be vaccinated against COVID-19 and the associated factors among adults in the Jimma zone, Ethiopia. Methods: A community-based cross-sectional study with multistage sampling was conducted with 621 participants from 16 April to 17 May 2022. Multivariable logistic regression was used to identify factors associated with the outcome of interest. Statistical p-value ≤ 0.05 was set at p ≤ 0.05. Qualitative data were supplemented with quantitative results. Results: The majority of the study participants (382 [61.5%]) intended to uptake the COVID-19 vaccine. In this study, travel history (Adjusted Odds Ratio (AOR) = 2.18, 95% CI 1.23– 3.87), vaccination history (AOR = 2.64, 95% CI 1.69– 4.12), perceptions of infection prevention for COVID-19 (AOR = 1.97, 95% CI 1.28– 3.03), subjective norm (AOR = 2.27, 95% CI 1.52– 3.39), and perceived behavioral control (PBC) (AOR = 2.30, 95% CI 1.55– 3.41) were significantly associated with the intention to be vaccinated against COVID-19. Conclusion: More than half of the adult participants intended to be vaccinated against COVID-19. The study participant’s traveling history, vaccination history, perception of infection prevention for COVID-19, subjective norms, and Perceived Behavioral Control were significantly associated with the intention to be vaccinated.

Background: The community-based health insurance (CBHI) scheme is a growing initiative aimed at enhancing healthcare access for the most impoverished members of the community. The Ethiopian CBHI scheme aims to enhance access to essential healthcare services, including medical laboratory services, for the poorest members of the community, but there is limited evidence on satisfaction levels. The aim of this study was to assess the satisfaction level of CBHI beneficiaries with laboratory services and their associated factors among selected public hospitals in Jimma Zone, Oromia Region, Ethiopia. Methods: A facility-based cross-sectional study was conducted on selected public hospitals in the Jimma Zone from September to October 2023. A total of 421 CBHI beneficiaries were enrolled in the study using a convenient sampling technique, and interviewers administered structured questionnaires to collect data. Data were entered into Epi-data and analyzed using the Statistical Package of Social Sciences version 25. Descriptive analysis was used to summarize independent variables; bivariate and multivariable logistic regression analyses were done to test the association between independent and dependent variables; and statistical significance was declared at P<0.05. Results: More than half (55.8%) of the 419 study participants were female. Above half, 57.5% of the respondents were satisfied by the clinical laboratory services at public hospitals in Jimma Zone. Components with a higher satisfaction rate were providers’ professional appearances (98.3%), procedures for specimen collection (87.6%), and availability of entertainment facilities at the waiting area (67.8%). On the contrary, longer waiting times to receive the test results (76.6%), inefficiency of the reception area (74.7%), and the inability of professionals to explain diagnostic procedures (58.0%) were associated with higher rates of dissatisfaction. Educational status and the number of hospital visits were found to have a statistically significant association with level of satisfaction with laboratory services. Conclusions: CBHI beneficiaries’ satisfaction with laboratory service was at a moderate level in Jimma Zone public hospitals. Therefore, attention should be given to continuous monitoring of patients’ satisfaction with services, improving reception areas, and practicing routine explanations about the purposes and procedures during specimen collection to improve the beneficiaries’ satisfaction level with clinical laboratory services.