Willingness to join and pay social health insurance and associated factors among public sectors workers in Didu Woreda,South West Ethiopia,2018

Abstract

Introduction:

Cost-sharing between beneficiaries and governments is critical to achieving universal health care coverage. To address this, Ethiopia is currently introducing social health insurance. Therefore, the current study aimed to assess the willingness and associated factors to join and pay social health insurance among public sectors workers in Didu Woreda, southwest Ethiopia.

Methods:

A cross-sectional study was conducted from April 15 to 30, 2018 on 280 public sector workers of Didu Woreda. Stratified and simple random sampling techniques were used, and data were collected using a structured interviewer-administered questionnaire. Binary logistic regression analysis was used to a compute crude odd ratio with its 95% confidence interval to test the associations between dependent and independent variables and a p-Value of 0.05 with a confidence interval of 95% was used to declare the level of statistical significance.

Results:

About 47.5% of participants were willing to join for the suggested insurance scheme these about 58% of those who were willing to join are willing to pay 3% of their monthly salary that was proposed. Willingness to join was significantly associated with the age of respondents, marital status, job description, how much paid, the satisfaction of the respondents, and previous history of borrowing money for the medical service fees.

Conclusion:

Willingness to join and pay in this study was found to be 47.5% and 58% respectively. Therefore, adequate awareness creation and discussion should be made with all employees.

Keywords

Social health insurance willingness to pay willingness to join Didu Woreda public sectors

Background

A fundamental feature of achieving universal coverage is to develop a financial risk pooling system that provides cross-subsidies in health systems where the ability to pay determines, financing contributions, and the use of services is based on the need for care. The enjoyment of the highest attainable standard of health is one of the fundamental rights of every human being. These rights are exercised without distinction of race, religion, political belief, and economic or social condition.^1–2

All WHO member states are committed to achieving universal health coverage. The states had a central focus and belief of providing access to healthcare services to their people without risk of financial ruin or impoverishment. All of them had an ideology of, thus, achieving better health and well-being is a key to promoting human and economic development. Universal health coverage is an aspiration to reach the highest attainable standard of health. Alma-Ata Declaration which states “health for all” is best known for promoting primary health care as a means to address the main health problems in communities like fostering equitable access to primitive, preventive, curative, palliative, and rehabilitative healthcare services to the society is an icon.^2–4

The World Health Report on health systems financing proposes that countries of all nations at all income levels should constantly seek to modify and adapt health systems financing to the specific goal of universal health coverage. The report had the twin goals of ensuring access to health services and financial risk protection toward achieving sustainable development.^5,6

Social health insurance was first introduced to the world in Germany in the year 1883. Under the pioneering leadership of Chancellor Bismarck. Germany established the first system of compulsory Sickness insurance. The first Social health insurance scheme had the aim of providing independent occupation-based sick funds but placing their activities under the state’s sponsorship. The system was operational mainly in five ways, these were: relief funds for journeymen, craftsmen, factory workers, workers or tradespeople (community), and relief funds for people who could not otherwise find insurance. The proposed insurance system had the goal of helping and securing workers.⁷

The social health insurance scheme covers formal payroll-based employees and has distinct characteristics. The scheme has a compulsory mechanism in that members have to pay the specified premium (contribution) periodically. While the government may decide to pay the premium on their behalf. Citizens only become entitled to these benefits when they have paid the required premium regularly. The premiums and benefits are described in a social compact, usually expressed in legislation. Social health insurance is different from user fees or direct payment schemes. In Social Health Insurance, the user only is responsible for the payment of his or her medical treatment. The scheme shares it’s characteristic of pooling risks and contributions with health financing via regular general taxation.^8–10

New health sector financing reform (HSFR), initiatives with a growing international consensus toward social protection via strong health care financing, the Ethiopian Government under Proclamation No. 690/2010 established the Ethiopian Health Insurance Agency (EHIA). In June 2011 the agency launched a pilot Community-Based Health Insurance scheme. It was based on directives provided by the Federal Ministry of Health (FMOH). EHIA acquired an objective that any beneficiary of the social health insurance scheme shall have the right to receive the different health services from health service providers that contracted with the agency. The main benefit of the scheme is reducing the need to borrow money, which may have longer-term benefits in reducing the vulnerability of insureds to other forms of shocks.^11–13

In the world, particularly in developing countries, many people are suffering and dying due to a lack of access to even the most basic medical care. This is due to the inability of the poor and unexpected health shock, to pay for health care services. According to the study, a survey that covers about 89% of the world’s population suggests that 150 million people suffer financial catastrophe every year due to out-of-pocket health expenditures. Furthermore, other important issues in low-income countries are that there is spiral poverty (vicious circle) which is due to the inability to work more because of poor health regardless of such health expenditure. Although limited governments’ budgets for health care are a serious problem in many developing countries, there is a mechanism to provide low-cost health insurance to low-income households which are an innovative method through which to reach health care providers and decrease out-of-pocket health expenditures.^14,15

In many developing countries, the lack of adequate health care budget is a severe problem. Innovative ways to raise funds for the provision of health services such as developing risk-sharing mechanisms are often sought.¹⁶

African governments’ budgets are insufficient to address health issues, with the growth of health care costs at an alarming rate in many countries.¹⁷ In sub-Saharan Africa, out-of-pocket expenditures constitute approximately 40% of total health expenditures, imposing financial burdens and limiting access to care in some of the poorest countries around the globe.¹⁸

Developed countries use social health insurance (SHI) to mobilize funds and pool risks. But, low and middle-income countries rarely use this approach and rely mostly on general revenues and direct out-of-pocket payments as sources of health care financing.¹⁰ Nevertheless, escalating health care costs, inadequate tax revenues, and unsustainable donor funding have alerted governments of developing countries to the fact that their health sectors need money from sources other than conventional financing sources.¹⁹

Health financing has been a major challenge for Ethiopia. In Ethiopia, the coverage with formal health insurance is very minimal, representing only 0.02%–0.03% of the total population between 1997 and 1998.⁸ Similarly, as of 2008, only 1.1% of Ethiopians had any kind of insurance and the government spends 1% of its health expenditure on insurance activities.²⁰

In Ethiopia, the first formal and legal government-based SHI system was established in the year 2010 under legislation passed by Council of Ministers proclamation number 191/2010. The established Ethiopian Health Insurance Agency has been working as an autonomous federal organ, having its legal personality since its establishment. The objective of the Agency is to implement a form of managed care health insurance system in the country. The SHI Implementation Regulation was endorsed by the Council of Ministers. Deployment of employees for the Ethiopian Health Insurance Agency and its regional branch offices is underway.^11,21 Even though some studies have been done to address this area of concern; to improve health service utilization in Ethiopia. Even though health insurance is a critical issue where concern should be given, there are limited studies on social health insurance and on its willingness to pay and join among civil servants.

This study provides rigorous analysis of the willingness to join and pay the newly proposed social health insurance, and the result will inform evidence-based policy and recommendations to plan for better achievement of the proposed scheme. The finding of the study will give baseline information for the scheme. The recommendation from the survey will also be utilized or helpful for local health planners, health administration, and those organizations working on the health service coverage scale-and finally the finding of the study is a good baseline and can be used by organizations like Ethiopian FMOH, EHIA, and any concerning body for the proposed scheme to engage in the implementation phase for better achievements because the program is the best solution for improving health care utilization.

Methods and materials

Study design, period, and area

The institutional-based cross-sectional study design was conducted from April 18 to 30, 2018. The study was conducted in Didu District which is located in southwest Ethiopia, Oromia regional state Ilubabor zone. The District is one of the 14 Districts in the zone and is located 59 km from Mettu; the Zone capital. According to Didu District administrative office; the total population of the district was 43,289, of which the highest percentages of the population are farmers. The district has two health centers and 17 health posts, serving 16 rural kebeles and one urban kebele. According to the data from the district Public service office; there are 890 public sectors workers of different professionals working in 27 public sectors. The District has weather conditions of Dega; the most growing plant is the Coffee plant which is the base of the economy of the District’s population.

Population

Source population

➢ All public sectors workers in the Didu District were considered as the source population.

Study population

➢ Sampled public sectors workers who fulfill the inclusion criteria were considered as the study population.

Sample size and sampling procedure

Sample size determination

The sample size was calculated using the single population proportion formula: -

➢ n = (zα/2)²p(1−p)∕d²

➢ n = minimal sample size needed.

➢ d = desired level of precision.

➢ P = proportion (by using 50% because there is no study done in the country on the topic).

Based on the above assumptions; the calculated sample size was 384, adding a non-response rate of 10%; the sample size was 420. Since the total population of the target population is 890 which is less than 10,000; the finite population correction formula must be applied so the final sample size was 285.

Sampling procedure

Didu District was purposively selected and a total number of public sectors workers in the District were taken from the Public service office of the Didu district. After the sample size was determined all public sectors were included and the sample size was proportionally allocated for all sectors. Finally, a random sampling procedure was used to select a participant from each sector in the District.

Study variables

Dependent variable

➢ Willingness to join social health insurance

Independent variable

➢ Sociodemographic variables (age, sex, marital status, job description, educational status of respondent, religion, ethnicity, monthly income, husband’s or wife’s occupation, husband’s or wife’s educational status).

➢ Health status and health care utilization variables (having a chronic illness, illness episode, illness, illness history, illness recurrence, the seriousness of last illness, where treated illness, payment-related problems).

➢ Social health insurance variables (awareness of social health insurance, knowledge about benefits of social health insurance, the reason for not willing to join, willingness to pay reason for unwilling to pay).

Data collection tools and procedures

Data collection tool

Interview-administered questionnaires were developed in English addressing sociodemographic, health status, health care utilization information, and social health insurance information including willingness to join and pay social health insurance by reviewing literature and adapting.^22–25

Data collection procedure

Four diploma holder teachers and two-degree holders’ health professionals were recruited and trained as data collectors and supervisors respectively. The English version of the questionnaire was introduced to data collectors and supervisors through 2-day training, and a pre-test was conducted in the Alle District. The training included objectives of the study, data collection tools, and how the data were collected.

Inclusion and exclusion criteria

All public sector workers who were working in the district at the time of the data collection were included in the study. Workers who are seriously ill and can’t be availed during the study period, who were on annual leave and contract workers were excluded from the study.

Operational definition

Willingness to join: respondents who answer “yes” to the questions asking about willingness to join the Social health insurance after explaining the scenario of SHI.

Willingness to pay: respondents who answer “yes” to the questions asking about willingness to pay for the social health insurance after explaining the scenario of SHI who are willing to join the scheme.

Data processing and analysis

All the questionnaires will be checked visually, coded, and entered into Epidata version 3.5 and exported to the SPSS version 22 software package for analysis. The data analyzed using binary logistic regression to determine the relationship between factors and the outcome variable. Binary logistic regression was computed to calculate Crude Odds Ratio (COR) with its 95% confidence interval to test the associations between dependent and independent variables, then variables found to have p < 0.25 in the bi-variable analysis were taken as candidates for multivariable analysis. Finally, multivariable analysis with Adjusted Odds Ratio (AOR) was computed to control for possible confounders and to identify factors significantly associated with willingness to join social health insurance. The fitness of the model was tested by the Hosmer-Lemeshow goodness of fit test. p-Value of <0.05 was considered as the criterion for statistical significance. The results were presented in the form of tables, figures, and text using frequencies and summary statistics such as mean, standard deviation, and percentage to describe the study population about relevant variables.

Data quality control

The quality of data was assured by proper designing and pre-testing of the questionnaires in one of the districts other than the selected district on 5% of participants, and by giving training for the data collectors and supervisors before the actual data collection. Every day after data collection, questionnaires were reviewed and checked for completeness and relevance by the supervisors and principal investigators, and then the necessary feedback was offered to data collectors the next morning.

Ethical clearance

Ethical clearance was obtained from the ethical committee of the department of post-graduate studies, Faculty of Public health and Medical science at Mettu University. The respondents were informed about the objective, the purpose, scope, and expected outcome of the research of the study, and verbal consent was obtained from each respondent. Confidentiality of the data was kept by omitting the respondent’s name from the questionnaire.

Results

Socio-demographic characteristics

A total of 280 sampled individuals are interviewed, making a 98.2% response rate. Among the total respondents, 196 (70%) are males and 84 (30%) are females. The mean age of the respondents was 29.29 years with a standard deviation of ±5.36, and containing a minimum of 19 years and a maximum of 54 years. About the religion of the respondents, 38.2%, 32.9%, and 27.9% were Protestant, Orthodox, and Muslim respectively. The majority of the respondents are married, 182 (65%). Out of 280 respondents, 265 (94.6) are Oromo in ethnicity. Regarding the job description of respondents, 72.1% are technical workers. Out of all respondents, 46% had an education status of degree and above and about 44% had a diploma level (Table 1).

Table 1.

Sociodemographic characteristics of the study participants, Didu District, Oromia region, South western Ethiopia, 2018 (n = 280).

Variables	Category	Frequency (n, %)
Sex	Male	196 (70)
Sex	Female	84 (30)
Marital status	Married	182 (65)
	Single	86 (30.7)
	Divorced	10 (3.6)
	Widowed	2 (0.7)
Religion	Muslim	78 (27.9)
	Orthodox	92 (32.9)
	Protestant	107 (38.2)
	Others	3 (1.1)
Ethnicity	Oromo	265 (94.6)
	Amhara	6 (2.1)
	Kaffa	3 (1.1)
	Others	6 (2.1)
Job description	Managerial	34 (12.1)
	Technical workers	202 (72.2)
	Supportive workers	44 (15.7)
Educational status	Grade 10 or 12 completed	12 (6.1)
	Certificate	10 (3.6)
	Diploma	129 (46.1)
	Degree and above	124 (44.3)
Husband’s/wife’s educational status	Grade 10 or 12 completed	51 (25.9)
	Certificate	11 (5.6)
	Diploma	79 (40.1)
	Degree and above	56 (28.4)
Husband’s/wife’s occupation	Farmer	14 (7.1)
	Gov’t employee	144 (73.1)
	Merchant	22 (11.2)
	Daily laborer	3 (1.5)
	Others	14 (7.1)

Health status and health care utilization

About one-fourth of 65 (23.4%) of the respondents responded that members of their family have a chronic illness, and the remaining 213 (76.6%) have no type of chronic illness from their family member. One hundred eighty-one (65.1%) of the individuals had at least one episode of illness within the last 12 months, and the remaining 34.9% had no of any illness in the last 12 months. Concerning the question asking what is the latest episode you have encountered illness; about 26.9% of the respondents answered they have phased 1–3 months and 6–12 months, 23.7% of them 3–6 months and 13.7% within 1 month before data collection with illness episode of those diseased ranges from one to seven times with mean of 2.09 and 1.22 standard deviation. Those who had episodes of disease and were asked to be treated in the last episode answered public facility, private facility, did nothing, traditional healer 56.1%, 36.5%, 6.3%, and 0.5% respectively.

Regarding whom cover health care cost during illness time; the Majority of them 185 (97.9%) said they cover their health care cost on their own (self) when only less than 2% have other means of coverage like the government. Concerning the amount paid for health, the cost ranges from 20 to 2850 Ethiopian Birr (ETB) with a mean of 465 and a standard deviation of 622.65. For the question asking about how they think about the problem of paying for health care: 36.2%, 33.8%, and 30% answered very difficult, difficult, and not difficult respectively. About 74.6%, 195, 2.4%, and 3.9% of the individuals had made payments for medical care out of pocket, borrowed money, government fee, and others respectively. Regarding satisfaction with health care service; about 36.7% of them responded that they are dissatisfied, 19.1% were very dissatisfied, 7.4% were neutral, 30.1% were satisfied and very satisfied with the service they got. Out of 245 respondents, 74 (30.2%) had borrowed money, and 171 (69.8%) had not borrowed money for medical care.

Social health insurance

Among 280 individuals asked about whether they have ever heard about SHI; about 186 (66.4%) had heard, but the remaining 94 (33.6) have not ever heard about social health insurance. Sources of information were Television 83 (44.4%), Health facility 48 (25.7%), Radio 32 (17.1%), and Coworkers 21 (11.2%) among individuals who have heard about SHI. Regarding willingness to join, SHI; about 133 (47.5%) are willing to join, and the rest were not willing to join it. Of the individuals who are willing to join; 78 (58.6%) were willing to pay, and the rest were not. Of those not willing to pay; about 41.8%, 30.9%, 12.1%, 10.9%, and 3.6% answered that it’s the government’s responsibility, the project is not clear, the percent is high, out of pocket better, and other reasons respectively. The reason for being unwilling to join SHI as expressed by the respondents was: doesn’t cover all services (57%), doesn’t include all family members (28%), poor implementation (26%), and always good health (10%).

Bivariate logistic regression

Willingness to join SHI

In bivariate logistic regression; factors associated with willingness to join SHI were: Age of the respondent, marital status, job description, monthly salary, family size, where they have been treated, why they have been treated there, how much they paid, how you pay a service fee, what is your satisfaction for medical service, and the previous history of borrowing money for service fee in past had a relationship with willingness to join and pay SHI at p-Value <0.25. These variables were selected as a candidate for multivariable logistic regression for further analysis. Respondents who are on the technical job description are three times more likely to be willing to join SHI than supportive workers (COR: 2.89, 95% CI: 1.4, 5.9). Workers who get a monthly salary of 1500–2999 ETB were two times more likely to be willing to join SHI than those who get a monthly salary greater than 4500 ETB (COR: 2.253, 95% CI: 1.219, 4.167) (Table 2).

Table 2.

A bivariate logistic regression analysis output for factors associated with willingness to join SHI among public sector workers in Didu district, Southwestern Ethiopia, 2018 (n = 280).

Variables	Categories	Willingness to join SHI		COR (95% CI)	p-Value
		Yes	No
		N (%)	N (%)
Age (years)	20–21	104 (57.7)	76 (42.3)	1	0.00
	30–39	26 (28.5)	65 (71.5)	0.292 (0.17, 0.503)*	0.706
	40–49	3 (50)	3 (50)	0.731 (0.144, 3.72)
	≥50	0 (0)	3 (100)	0
Marital status	Married	75 (41.2)	107 (58.8)	0.5 (0.3, 0.849)*	0.010
	Divorced	7 (70)	3 (30)	1.68 (0.4, 6.9)	0.474
	Widowed	1 (50)	1 (50)	0.72 (0.044–11.89)	0.818
	Single	50 (58.1)	36 (41.9)	1
Job description	Managerial	34 (12)	246 (88)	2.37 (0.92, 6.1)	0.074
	Technical workers	202 (72)	78 (28)	2.887 (1.4, 5.9)*	0.004
	Supportive workers	44 (15.7)	236 (84.3)	1
Monthly salary	<1500	13 (92.8)	1 (1.2)	0.137 (0.017, 1.106)	0.062
	1500–2999	53 (55.8)	42 (44.2)	2.253 (1.219, 4.167)*	0.010
	3000–4500	37 (50.6)	36 (49.4)	1.835 (0.957, 3.52)	0.068
	>4500	28 (35.9)	50 (64.1)	1
Family size	1–2	73 (54.5)	61 (45.5)	3.83 (1.743, 8.415)*	0.001
	3–4	50 (48.6)	53 (51.4	3.019 (1.345, 6.775)*	0.007
	>4	10 (23.8)	32 (72.2)	1
Why do you go there	Self-limiting	3 (23)	10 (77)	0.05 (0.004, 0.597)*	0.05
	Accessible	50 (60.2)	33 (39.8)	0.253 (0.029, 2.14)	0.253
	Not expensive	36 (41.4)	51 (59.6)	0.118 (0.014, 1.02)	0.118
	Others	6 (85.7)	1 (14.3)	1
How much do you pay (ETB)	<1000	77 (56.2	60 (45.8)	4.1 (1.424, 11.846)*	0.009
How much do you pay (ETB)	≥1000	5 (23.8)	16 (76.2)	1
How are you satisfied with the care?	Very dissatisfied	32 (65.3)	17 (34.7)	1.73 (0.546, 5.125)	0.367
	Dissatisfied	26 (30.2)	60 (69.8)	0.34 (0.118, 0.975)*	0.045
	Neutral	12 (63.1)	7 (36.9)	1.524 (0.402, 5.777)	0.536
	Satisfied	47 (61)	30 (39)	1.393 (0.484, 4.007)	0.539
	Very satisfied	9 (52.9)	8 (47.1)	1
Borrow money	Yes	41 (33.6)	81 (66.4)	0.724 (0.419, 1.253)	0.249
	No	33 (26.8)	90 (73.2)	1

Significant at p-value 0.05.

Multivariable logistic regression for willingness to join

In multivariate logistic regression, factors associated with willingness to join SHI were: Age of the respondent, marital status, job description, how much you pay, and what is your satisfaction with medical care had a relationship with willingness to join Social health insurance in multivariate logistic regression.

This study revealed that individuals’ age was significantly associated and individuals falling in the age range of 30–39 years were less likely to join SHI as compared to those 20–29 years (AOR: 0.212, 95% CI: 0.07, 0.642). The study showed that the job description of the respondents was significantly associated, and supportive staffs were less likely to join SHI as compared to those in managerial positions (AOR: 0.016, 95% CI: 0.002, 0.144). How much you pay was significantly associated, those paid <1000 ETB were six-fold more likely than those paid >1000 ETB (AOR: 5.932, 95% CI: 1.708, 32.631). Satisfaction of respondents was significantly associated, those that were dissatisfied were less likely associated to join SHI (AOR: 0.053, 95% CI: 0.013, 0.223), and also those that had a previous history of borrowing money were negatively associated with a willingness to join (AOR: 0.312, 95% CI: 0.115, 0.848) (Table 3).

Table 3.

Multivariable logistic regression output for factors associated with willingness to join SHI among public sector workers in Didu district, Southwestern Ethiopia, 2018 (n = 280).

Variables	Categories	Willingness to join		COR (95% CI)	AOR (95% CI)
		Yes	No
		No (%)	No (%)
Age (years)	20–29	104 (57.7)	76 (42.3)	1	1
	30–39	26 (28.5)	65 (71.5)	0.292 (0.17, 0.503)*	0.212 (0.07, 0.642)*
	≥40	3 (50)	3 (50)	0.731 (0.144, 3.72)	0.365 (0.089, 1.5)
Marital status	Married before	83 (41.2)	111 (58.8)	0.5 (0.3, 0.849)*	5.59 (1.26, 24.8)*
Marital status	Never married	50 (58.1)	36 (41.9)	1	1
Job description	Managerial	34 (12)	246 (88)	2.37 (0.92, 6.1)	1
	Technical workers	202 (72)	78 (28)	2.887 (1.4, 5.9)*	0.373 (0.09, 1.553)
	Supportive workers	44 (15.7)	236 (84.3)	1	0.016 (0.002, 0.141)*
How much do you pay (ETB)	<1000	77 (56.2	60 (45.8)	4.1 (1.424, 11.846)*	5.93 (1.078, 32.63)*
How much do you pay (ETB)	≥1000	5 (23.8)	16 (76.2)	1
How are you satisfied with the care	Very dissatisfied	32 (65.3)	17 (34.7)	1.73 (0.546, 5.125)	1
	Dissatisfied	26 (30.2)	60 (69.8)	0.34 (0.118, 0.975)*	0.053 (0.013, 0.223)*
	Neutral	12 (63.1)	7 (36.9)	1.524 (0.402, 5.777)	0.220 (0.32, 1.499)
	Satisfied	47 (61)	30 (39)	1.393 (0.484, 4.007)	0.484 (0.12, 1.956)
	Very satisfied	9 (52.9)	8 (47.1)	1	0.274 (0.033, 2.262)
Borrow money	Yes	41 (33.6)	81 (66.4)	0.724 (0.419, 1.253)	0.312 (0.115, 0.848)*
	No	33 (26.8)	90 (73.2)	1	1

Significant at p-value 0.05.

Discussion

This study finding showed that 36.5% of the respondents have not heard about SHI in the past. About 47.5% were willing to join SHI, out of those who were willing to join more than half (58.6%) were willing to pay the proposed 3% of their salary monthly. This finding was lower than compared to a study done in Wolaita, Ethiopia in 2012 among teachers in which 71.3% of them were willing to join and 74.4% were willing to pay among those who were willing to join.²⁵ This discrepancy may be due to the socio-economic and educational status of the study population; teachers might be more educated and have better access to know about the subject, whereas that of this study area is less to get full information. Likewise, a study done in Uganda Kampala on employee’s enrollment in SHI showed a willingness to join was 77% and willingness to pay was 91%. Another study done in Addis Ababa on formal employee preference of health insurance showed 90.2% were willing to pay for health insurance.^22,23 This is again better than this study; this may be due to the difference in socio-economic, sociocultural, and political commitment toward the scheme.

This study finding is better than the study done in Addis Ababa on willingness to pay SHI among health professionals which showed only 17% of respondents are willing to pay for the insurance,²⁴ study done in Uganda in 2009 showed a willingness to pay for SHI among employee showed a willingness to pay was less than 50%.²⁶ This difference may be attributed to the socio-cultural, socio-economic, educational, and political commitment of the countries toward the program.

In terms of method of payment for medical service when ill (bill), it was found to be 74.6% was out of pocket, which was almost in line with the study conducted in Wolaita, Ethiopia.²⁵ When we look at awareness about SHI; 33% of the respondents in the study have not heard of SHI, and it was almost in line with a study done in Wolaita, and in Addis Ababa, Ethiopia.^25,27. This may be the implication of low respondent willingness to join SHI.

This study finding showed that the age of an individual was significantly associated with a willingness to join SHI. It was in line with the study done in Ethiopia, which showed elders were less likely to participate in insurance.²² This may be due to the low adaptation of elders to new technology as compared to the young.

The study also revealed that marital status was significantly associated with a willingness to join SHI. The married individual was six times more willing to join when compared to the unmarried one. This may be due to an increase in family size and the inclusiveness of family members. Job description of the respondents was significantly associated with a willingness to join SHI, in which supportive staffs were less likely to be willing to join SHI.

The amount of birr paid was significantly associated with a willingness to join SHI, those who have paid less than 1000 ETB were six folds more likely to be willing to join SHI. Also, the satisfaction of respondents with health care was significantly associated with willingness to join; the dissatisfied were less likely to participate as compared to those very satisfied. This may be the reason for the quality and health care providers of the public facilities in terms of the service fee and supply.

Conclusion and recommendation

Conclusion

Willingness to join and pay SHI was found to be low in the study area. Age of the respondents, marital status, job description, amount of money paid, satisfaction of the respondents for the service, and history of borrowing money for service fees were significantly associated with willingness to join SHI.

Recommendation

For the Federal Ministry of Health and Ethiopian health insurance agency:

● Almost half of the government employees were willing to join the SHI scheme and implementation would be easier if potential enrolls know how it works and benefits would be because those willing to join the two-thirds were willing to contribute the proposed 3% from their monthly salary.

● Should disseminate information to create awareness on SHI (Initiatives to overcome this lack of awareness, awareness campaigns, mass media, and sensitization by scheme staff) to promote the starting of the scheme.

● Health policymakers should engage key stakeholders and prepare for workshops and training for the program.

● Should make health facility qualified and satisfactory to give service adequately.

For researchers and scholars:

● Interested researchers are recommended to upgrade the study to a broader geographical area to make sound research.

Footnotes

Acknowledgements

We are grateful to academicians and experts from Mettu University Department of Public Health and post-graduate studies for their valuable contributions during the study. Our special thanks also go to the Didu District health office, study participants, and different sector workers for facilitating the process of data collection. And we would like to thank the data collectors and supervisors for their contribution to data collection and coordination activities.

Author contributions

ZR participated in the design of the study, performed the data collection and statistical analysis, and served as the corresponding author of the manuscript. EN, TS, ZK, and GM supervised the study, ensured the quality of the data, and assisted in the analysis and interpretation of the data. All authors read and approved the manuscript.

Declaration of conflicting interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding

The author(s) received no financial support for the research, authorship, and/or publication of this article.

Ethics approval and consent to participate

Ethical clearance was obtained from the ethical committee of the department of post-graduate studies, Faculty of Public health and Medical science at Mettu University. A formal letter was taken from IluAbabora Zonal Health Office to all concerned sectors of the study area. The respondents were informed about the objective, the purpose, scope, and expected outcome of the research the study, and verbal consent was obtained from each respondent. Confidentiality of the data was kept by omitting the respondent’s name from the questionnaire.

Consent for publication

Not applicable.

Significance for public health

In developing, country health service coverage, and its accessibility is a major problem. To solve this problem, countries have proposed social health insurance and community-based health insurance. Hence, this study provides a rigorous analysis of the willingness to join and pay for the newly proposed social health insurance and the result will inform evidence-based policy and recommendations to plan for better achievement of the proposed scheme. Besides, the finding of the study will give baseline information for the scheme. The recommendation from the survey will also be utilized or helpful for local health planners, health administration, and those organizations working on the health service coverage scale-up.

Availability of data and materials

The finding of this study was generated from the data collected and analyzed based on stated methods and materials. The original data supporting this finding are available from the corresponding author on reasonable request.

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