Study area and study period
This study was conducted in Harar city Eastern Ethiopia, from December to January 2021. Harar is a city located in Eastern Ethiopia, 526 km from Addis Abeba, the capital city of the country. Harar city has nine woreda and 19 kebeles, while the rural part of the state has 17 rural kebels. The state's size is estimated to be 340 km2. Based on 2019’s population projection from the 2007 Census conducted by the central statistics agency, the Harar National Regional States’ (HNRS) total population was found to be 257,000 and the region has a total of 321 schools with 2693 teachers. According to data from Harar City, there are 27 governmental and 34 non-governmental schools with 1065 and 421 teachers, respectively. From these, 46 are primary and 15 are secondary schools, with 1024 and 462 teachers, respectively.
Study design
An institutional based cross-sectional study design was conducted
Sample size determination
The number of teachers who participated in the study was determined by using a single population proportion formula with the following assumptions. According to study done among public servants in Mekelle city in 2017, Northern Ethiopia n=384, 328(85.3%) were willing to pay the proposed social health insurance scheme[19]. Proportion of teachers willing to pay for SHI= 85.3% (p=0.85)[19] and 95% confidence interval (Zα/2= 1.96) ,Margin of error (d=0.05),Sample size was estimated by the formula=
by adding 10% for potential non-response, the final sample size became 215.By considering 1.5 design effect, the final sample size became 323 participants.
In this study, a stratified sampling method was applied to select primary and secondary governmental and non- governmental schools. The total number of primary and secondary teachers were 1024 and 462 in both government and private respectively. Probability proportional to size was used for the possible allocation of all teachers. First, primary and secondary governmental and non- governmental teachers were divided into 4 strata. Then a simple random sampling technique was used to select both government and private schools. Then calculated sample size was proportionally allocated to each stratum. A Simple random sampling method was applied to get 323 teachers.
Outcome variable
Willingness to pay (WTP) for Social health insurance
Independent variable
Socio-demographic factors: Age, educational status, family size, Professional status, marital status
Socio-economic factors: monthly salary and house belongings
Health and health-related factors: the health status of household members, the accessibility of health care facilities, the perceived quality of health care, the presence of chronic disease in household members, and medical bills. Knowledge of SHI, membership in a social organization, exposure to a source of credit, premium affordability, and the teachers' trustworthiness in system management attitude are all SHI-related factors.
Data collection Procedure
Three data collectors with qualification diplomas were recruited from outside of the study area. The data collection team had reached the study area and submitted a support letter to Harar town health bureau. After receiving support letters from the Harar city health department, data collectors moved to assigned schools. After permission was obtained from the directors of each school, a data collection process was started immediately by using self-administered structured questionnaires. The questionnaire was developed after extensive revision of different literatures. The questionnaire consisted of socio-demographic characteristics, socio-economic factors, health and health-related factors, knowledge of participants, attitudes toward social health insurance, organizational factors, and questions related to willingness to pay for the social health insurance of the teachers.
Data quality Assurance
One-day training was given to data collectors concerning overall purpose, goal, objectives, content, tools, pretest way of approach to reduce non-response rate and to increase the quality of data. To ensure adherence to data collection protocols and increase the validity of data collection techniques, supervisors and a research team reviewed the collected data at the end of the data collection day for completeness. Based on the findings from pretest, necessary tools’ amendments were made to data collection tools.The data collection process and daily performance were followed. Any problems encountered during data collection were checked overnight and planned for the next day to solve them. On each morning of data collection day, supervisors and data collectors communicated on how to proceed and solve problems encountered for the next day
Data analysis and procedure.
Data were entered into Epi data version 4.6.0.6 and were exported to SPSS version 25 for analysis. Descriptive data were analyzed and presented using frequency, percentage, summary measures, charts and tables. Bivariate analysis was done to identify candidate variables for multivariate variables. The variables with a p-value of less than 0.25 were taken as candidates for multivariate analysis. Finally, multivariate analysis was done and variables with a p-value of less than 0.05 were taken as significantly associated with WTP.Participants who answered more than or equal to mean were suggested to have good knowledge of SHI, whereas those who answered less than mean were suggested to know it poorly. Participants’ attitudes had two categories; positive attitudes above certain categories and negative attitudes below that point. This point was calculated by a demarcation threshold formula,[{( total highest score-total lowest score) /2}+total lowest score][20].
Ethical consideration
Ethical clearance was obtained from the Institutional Review Board of Haramaya University.
College of health and medical science. To ensure voluntary participation of each participant, oral informed consent was obtained from each participant. Furthermore, the confidentiality of the data was guaranteed by using a code which is non-identifier and also the data were maintained in a safe and protected place.