Research Article - (2025) Volume 4, Issue 2
Affordability of The Proposed Social Health Insurance And Its Associated Factors Among Public Instituations Servants in Metekel Zone, Benishangul Gumuze Regional State, North West, Ethiopia
2Departments of Public health, School of health Sciences, Debre-Markos University, Ethiopia
3Department of Public health, College of health Science, Gondar University, North-West, Ethiopia
Received Date: Apr 07, 2025 / Accepted Date: May 20, 2025 / Published Date: Jul 02, 2025
Copyright: ©©2025 Dereje Getahun Gashaye, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation: Chkole, S. A., Addis, B., Gashaye, D. G., Bekeko, S. D. (2025). Affordability Of The Proposed Social Health Insurance And Its Associated Factors Among Public Instituations Servants In Metekel Zone, Benishangul Gumuze Regional State,North West, Ethiopia. Trends Mass Comm, 4(2), 01-11.
Abstract
Chinese painting restoration blends artistry and heritage preservation. While AI offers new solutions, current methods struggle to replicate its unique style and often overlook restorers’ practical needs. This gap hinders the effective preservation of its historical and cultural value. To address this, our study explores AI’s potential in this field, developing InkRenew, an AI-assisted restoration system. Leveraging deep learning, InkRenew integrates dynastic and stylistic knowledge to provide real-time restoration guidance. A controlled experiment with 34 novice restorers compared AI- assisted and traditional methods, evaluating restoration quality, accuracy, and user experience. The results showed that InkRenew significantly enhanced efficiency and precision while reducing operational burden, demonstrating high usability and acceptance. Theoretically, this work bridges AI and traditional restoration, proposing a digital preservation framework. Practically, it offers restorers an efficient tool, and culturally, it advances intelligent heritage conservation. This research provides an innovative approach to safeguarding and disseminating cultural heritage.
Keywords
Ancient Painting Restoration, Cultural Heritage, Generative AI, Digitization, Human-AI Interaction.
Introduction
Background
In most of developing countries the out-of-pocket payment for health care service has been accounting over 40% of their expenditure and this limits the poor from accessing the health care and leads them to complicated health problems [1].
In Ethiopia, promising improvement was seen in the domestic share of health expenditure, but household out-of-pocket (OOP) spending is 33%, which continues to be a serious domestic source. Over 73% of the population pays for health care from their OOP, and the total per capita of OOP expenditure of households for health was 231 ETB per annum, but this value is different regarding residency; the average per capita OOP was higher in urban than rural [2,3].
Due to the above problem health care purchase become catastrophic in Ethiopia. For example, 55% of OOP spending is financed by their household’s own cash, 35 % financed through assistance from friends and relation, while 6% was financed through selling the household’s own livestock and cereals and 4% were by borrowing money [3].
Because of the above reasons, reducing OOP payment is one of the health care financing strategies of the government of Ethiopia to facilitate the journey to universal health coverage (UHC).
About reducing OOP payment, the proposed initiative is strength-ening the ongoing Community Health Insurance scheme and implementing the proposed Social Health Insurance scheme [4]. Regarding Community-based Health Insurance (CBHI), 39% (375 woredas) were enrolled, in line with the Health sector trans-formation plan (HSTP) target. About 3,084,036 households or 15,638,789 beneficiaries were enrolled into CBHI in 2009 EFY, but Social health insurance was expected to commence and achieve full enrolment of the target population starting from the first years of HSTP. However, its implementation was delayed due to reasons like the need to improve quality of health [4].
Methods
Study Period
The study was conducted from March 17 to April 17, 2021in Metekel zone.
Study Area
Metekel Zone is located in the Benishangul-Gumuz Region of Ethiopia, named after the former Metekel province. Which is found 570 km in North West of Addis Ababa. Administratively, the zone is structured into seven districts that are (Pawie, Mandura, Wombera, Debati, Dangur, and Guba), having 7 urban and 97 rural villages.
Source Population
All public civil servants who were working in the public sector in the Metekel zone.
Study Population
All Public civil servant workers who were working in selected public sectors in Metekel Zone were the study population.
Study Unit
The study units were selected individuals in the selected public sectors in Metekel Zone.
Inclusion Criteria
Permanent public employees who work in the institution and who are present during the time of data collection.
Exclusion Criteria
Employer who gets a scholarship and those who have private insurance.
Sample Size Determination
The required sample size was computed using single population proportion formula for assuming the dependent variable “Affordability”, by considering the prevalence as 50%, 95% confidence interval (1.96), with margin of error (5%).
Sampling Technique and Procedure
A multistage stratified random sampling technique was used to select study participants. The first stratum categorized public ser¬vants of the town in to three strata that was higher academic Insti¬tutions, health facilities, servants, and the town administration of¬fice servants. Using the lottery method among three public health facilities.
Variables
Dependent Variable
Affordability of SHI
Independent Variables
Socio-Demographic Factors
Sex, age, marital status, number of family members, income, level of education, and work sector.
Health Status and Health Expenditure Factors
history of illness in the household in the last 12 months, seek medical treatment, and get treatment, place of treatment, reasons for going to treatment, health care costs, coverage of the household for the health care costs, means of getting money for health care, and any health care coverage.
Individual Factors
Attitude on the Importance of SHI
Agreement on mandatory service of SHI, Agreement on the use of SHI to improve health care quality and agreement on payment of SHI.
Knowledge of the Benefits of SHI
Source of information on SHI, the type of social network they involve.
Operational Definition and Measurement
Operational Definition
Net Income: cumulative of monthly salary and monthly income from other sources.
Affordability: affordability is a function of income, spending, and judgments about the value of goods and services for their price.
Measurement of the Dependent Variable Affordability
Although the “affordability” of health care is a common concern, the term is rarely defined. Fundamentally, affordability is a function of income, spending, and judgments about the value of goods and services for their price.
About economic measurement of affordability, we used for normative approach, which states “afford” to pay for health insurance if it would have minimum income left to meet its other socially-defined minimum needs, such as food and shelter. Normative affordability only depends on income being greater than a fixed amount, and when income equals this fixed amount, consumers choose an “ideal” allocation of all the goods in the economy. Hence, this considers the proposed SHI premium contribution, the federal Poverty line (FPL), and family size. According to the 2015/16 poverty analysis of Ethiopia, the poverty line is Birr 7184 per year per person. When the net income after covering the poverty line could cover the proposed 3% of the SHI premium, then the scheme is affordable for the individual. According to the review of concepts to guide policy makers, the affordability of the scheme was assessed as below.
If net income- [household size *(per capita _income less poverty line)] >3% of gross salary, the person can afford to pay 3% of their gross salary for SHI. If net income- [household size *(per capita _income less poverty line)] <3% of gross salary, the person cannot afford to pay 3% of their gross salary for SHI.
Measurements of the Independent Variable
Measuring Health Status and Health Expenditure
In this study, Health status and health expenditure factors can be measured using nine questions. Yes or no question, multiple choice question on the type of health facility and money spent for moderate health care, by asking their payment type whither they pay by OOP or other means like borrowing money and types of benefit they get from their organization.
Attitude Toward SHI Scheme
In this study, perception towards SHI was measured using 4 items of questions with a five-point Likert scale (1: strongly disagree, 2: disagree, 3: No opinion, 4: agree, and 5: strongly agree). The sum of these items yields a total score of a minimum of 4 and a maximum of 20, with a mean score of 13.02. if participants scored ≥13, we considered them as having “good perception”, otherwise as “poor perception” about SHI.
Knowledge of SHI
In this study, Knowledge of social health insurance was assessed by using a set of 5 questions about social health insurance. Respondents who had a score greater than or equal to the mean score (mean score: 6.19) were considered as having “good knowledge” about SHI, otherwise as “poor knowledge”.
Data collection tool and procedure
Data Collection Tool
Data were collected using a structured pre-tested questionnaire. The questionnaire was prepared in English and translated into Amharic. A gain changed back to English to check for consistency. Both closed-ended and open-ended questions were used. The questionnaire contains four sections: socio-demographic variables (age, sex, marital status, religion, educational status, occupation, and work experience), health status and expenditure variables, knowledge & perception towards SHI, and monthly income variables.
Data Collection Procedure
The data collection process took place from March 17 - April 17/2021, by using structured questionnaires. Intensive three-day training was given for data collectors and supervisors on data collection tools, cleaning, precautions to be taken while collecting, the approach, and the most common mistakes committed during data collection. Then, after using the Amharic version questionnaire, six diploma holders and two supervisors were used for data collection.
Data Quality Control
Data consistency and completeness were checked and data entry were done in daily basis by assigned supervisors and immediate correction was taken. Moreover, principal investigator and supervisors were made supervision on the data collection process to check the accuracy and validity of the questionnaire, pre-testing of the questionnaire were be done in Pawi preparatory school on five percent (5%) of the actual sample prior to the actual study period. After pretesting the questionnaire, Cronbach’s Alpha was calculated by using SPSS window version 25 to test internal consistency (reliability) of the item. In addition, the questionnaires were checked for completeness and consistency in daily basis. In case of absent participants during the survey, there were three times re-visit were done and non- respondent will be considered otherwise. Moreover, the collected data were be cleaned, coded and entered to EPI data version 4.6.
Data Processing and Analysis
After the data were collected, the Data were checked for completeness and entered into the EPI data v. 4.6 software package. Then it was exported to SPSS version 25 statistical software package for cleaning, coding, and analysis. Descriptive and inferential data analysis were conducted. The descriptive statistics were described using frequency, percentage, mean, and standard deviation, and will be presented by a figure, table, and text; all continuous independent variables were categorized. An inferential analysis to identify factors associated with the Affordability of SHI was carried out. The binary logistic regression model was fitted as a primary method of analysis. The odds ratio (OR) was computed with the 95% confidence interval (CI) to see the Affordability of SHI with associated factors in this research. Multicollinearity among independent variables was checked using Variable Inflation Factor (VIF), and variables with a VIF value of 10 or above were considered to have multicollinearity. Model fitness was checked using the Hosmer and Lemeshow test, and its adequacy was confirmed as =0.84. Independent factors, with a P-value <0.25, were candidate variables for multivariable analysis. In the multivariable logistic models with a 95% confidence level and p-value, less than 0.05 was considered a significant factor for the Affordability of SHI.
Ethical Considerations
Ethical clearance was obtained from the Institutional Review Board (IRB) of the University of Gondar, College of Medicine and Health Sciences, Institute of Public Health (Ref. No: IPH/1469/2013). After a brief explanation of the objectives and purpose of the study, informed consent was obtained from each study participant. Participants were informed that participation was voluntary and they had the right to stop their participation at any time. Study participants were also informed that all data obtained from them would be kept confidential by using codes instead of any personal identifiers.
Results
Socio-Demographic Characteristics of the Respondents
In this study, 925 respondents participated with a response rate of 95%. The majority of the respondents, 358(38.7%), were in the age group of 25-29 years, whereas the mean age was 32 years with (±6.8 SD). In case of sex, 577(62.4%) were male and 655(70.8%) were married. About 595(64.4%) were Orthodox Christians followed by 188(20.3%) Muslim. It was found that 294(1.8%) were under a family size of 1-2, and the average was 3 (±1.560SD). More than half, 520(56.2%) were BSc/BA holder and 363(39.2%) of them are Administrative Staff with mean service year 8.3(±6.269 SD) (Table-1).
|
Variables |
Category |
Frequency(n) |
Percent (%) |
|
Age (years) |
20-24 |
50 |
5.4 |
|
|
25-29 |
358 |
38.7 |
|
|
30-34 |
279 |
30.2 |
|
|
35-39 |
117 |
12.6 |
|
|
>39 |
121 |
13.1 |
|
Sex |
Male |
577 |
62.4 |
|
|
Female |
348 |
37.6 |
|
Marital Status |
Never Married |
239 |
25.8 |
|
|
Married |
655 |
70.8 |
|
|
Divorce |
20 |
2.2 |
|
|
Widowed |
11 |
1.2 |
|
Religion |
Orthodox |
595 |
64.3 |
|
|
Muslim |
188 |
20.3 |
|
|
Protestant |
129 |
13.9 |
|
|
Adventist |
19 |
1.4 |
|
Family Size |
1-2 |
294 |
31.8 |
|
|
2-4 |
427 |
46.2 |
|
|
>4 |
204 |
22.1 |
|
Educational Level |
Certificate and below |
30 |
3.2 |
|
|
Diploma |
297 |
32.1 |
|
|
BSc/BA |
520 |
56.2 |
|
|
Masters and above |
78 |
8.4 |
|
Occupation |
Academic Staff |
83 |
9.0 |
|
|
Supportive Staff |
153 |
16.5 |
|
|
Health Professional |
326 |
35.2 |
|
|
Administrative Staff |
363 |
39.2 |
|
Service Year (years) |
1-5 |
357 |
38.6 |
|
|
5-10 |
335 |
36.2 |
|
|
10-15 |
104 |
11.2 |
|
|
>15 |
129 |
13.9 |
Table 1: Socio-Demographic Characteristics of the Respondent Among Formal Public Servants in Metekel zone, Benishangul-Gumuz Regional State, 2021
Health Status and Health Expenditure of the Respondent
One-third of respondents got sick in the 12-month recall period and received health care. It was found that, 263(28.4%) visited the public hospital. Beside, 310(33.5%) spends less than 1000 ETB and 764(82.6%) covered their health care expenditure from their OOP, whereas 73(9.2%) forced to borrow many from relatives. Whereas 433(46.9%) get organizational support while they get sick (Table-2).
|
Variables |
Category |
Frequency(n) |
Percent (%) |
|
Got sick in the last 1-year |
Yes No |
380 545 |
41.1 58.9 |
|
Got health care |
Yes No |
351 29 |
37.9 3.1 |
|
Types of health facilities to get health care |
Health Center Hospital Private clinic Traditional Healer |
35 263 56 3 |
3.8 28.4 6.1 0.3 |
|
Birr spent for modern health care in last 1- year |
<1000 (1) >1001 (2) |
310 47 |
33.5 5.1 |
|
Covered all from OOP |
Yes No |
764 161 |
82.6 17.7 |
|
Means of getting money for treatment |
Borrowing Money From monthly salary |
73 707 |
9.2 89.0 |
|
Organization benefit while get sick |
Yes No |
433 491 |
46.9 53.1 |
Table 2: Health and Health Expenditure Status of the Respondents Among Formal Public Servants in Metekel zone, Benishangul-Gumuz Regional State, 2021
Individual Factor of the Respondent
Attitude Toward the SHI Scheme
The study revealed that only 119(12.9%) & 23(2.5%) of the respondent of the respondent Strongly Agree and strongly Disagree on the importance of introduction of Social Health insurance but more than half of the respondent 669(72.3%) Agree on the importance of introduction of SHI, beside this 382(41.3%) and 351(37.9%) disagree and Agree respectively on the mandatory of SHI.
About 460(49.7%) of the respondent believed that Introduction of SHI will improve the quality of health care, Whereas 235(25.4%) of the respondent did not Agree on this idea. 297(32.1%) of the respondent Agree that SHI should give without personal contribution, whereas majority of them 435(49.2%) believe that everyone should contribute 3% their gross salary (Table-2).
|
Variables |
Category |
Frequency(n) |
Percent (%) |
|
Do you Agree on Importance of introducing SHI |
Strongly Disagree Disagree No Opinion Agree Strongly Agree |
23 57 57 669 119 |
2.5 6.2 6.2 72.3 12.9 |
|
Do you Agree SHI to be mandatory |
Strongly Disagree Disagree No Opinion Agree Strongly Agree |
48 382 75 351 69 |
5.2 41.3 8.1 37.9 7.5 |
|
Do you Agree SHI will improve Quality of health care |
Strongly Disagree Disagree No Opinion Agree Strongly Agree |
28 235 137 460 65 |
3.0 25.4 14.8 49.7 7.0 |
|
Do you Agree SHI will give without personal contribution |
Strongly Disagree Disagree No Opinion Agree Strongly Agree |
50 455 76 297 47 |
5.4 49.2 8.2 32.1 5.1 |
Table 3: Attitude of the Respondents About Shi Scheme Among Formal Public Servants in Metekel Zone, Benishangul-Gumuz Regional State, 2021
Generally, more than half of the total respondents, 522(56.4%), have “Poor Attitude” toward SHI, whereas 403(43.6%) of the respondents have “Good Attitude” toward SHI with a mean value of 13. (Figure-1)
Figure 1: Attitude of the Respondents Towards Shi Among Formal Public Servants in Metekel Zone, Benishangul-Gumuz Regional State, 2021, (n = 925)
Knowledge of the SHI Scheme
It is found that 751(81.2%) respondents had heard about SHI. Beside this 174 (18.8%) were never heard about SHI. From this 329(35%) respondents regularly get information about SHI from Social media like the internet, radio, TV and 620 (67%) were participate in social Network like Edire, Ekub. More than Half of the respondent 607 (65.6%) knows about the benefit of SHI (Table-4).
|
Variables |
Categories |
Frequency |
Percent (%) |
|
Did you hear about SHI |
Yes |
751 |
81.2 |
|
|
No |
174 |
18.8 |
|
Source of information |
Social media (internet, radio, TV) |
329 |
35.6 |
|
|
Friends |
105 |
11.4 |
|
|
Government announcement and |
250 |
27 |
|
|
newspaper |
|
|
|
|
Workshops/training/meeting |
67 |
7.2 |
|
What do you know about SHI |
Benefit package |
607 |
65.6 |
|
|
Premium contribution |
145 |
15.7 |
|
Do you involve in social Network |
Yes |
620 |
67.0 |
|
|
No |
305 |
33.0 |
|
Types of social network |
Edire |
291 |
31.5 |
|
|
Ekub |
329 |
35.6 |
Table 4: Knowledge of Respondents About SHI Scheme Among Formal Public Servants in Metekel Zone, Benishangul-Gumuz Regional State, 2021
The study revealed that 539(58.3%) of respondent have “Poor knowledge” toward SHI, Were as only 386(41.7%) of respondent “Good Knowledge” about Social health insurance. With mean value of 6.19.
<img src="https://www.opastpublishers.com/scholarly-images/9329-6a265f1c04d25-affordability-of-the-proposed-social-health-insurance-and-it.png" width="550" height="200">
Figure 2 : knowledge Level of the Respondents Towards Shi Among Formal Public Servants in Metekel Zone, Benishangul-Gumuz Regional State, 2021, (n=925)
Affordability of the Newly Proposed SHI
With regard to net income, 351(37.9%) had monthly net income of 6000-10000 ETB; 303(32.8%) had greater than or equals to 10000 ETB, Whereas 271(29.31%) had monthly income less than 6000 ETB. In addition, 459(49.6%) of the respondent have additional income from other family members. In addition, 370(40%) had additional income rather than which complement monthly salary and all of them can afford the scheme when compared to that of respondents living with salary alone. Out of the total respondents, 905 (97.8%) were able to afford the newly proposed 3% of gross salary per month as SHI scheme premium, Participant working as administrative staff, 348(39.2%) were able to afford the scheme and majority of those who can afford the scheme were married 639 (69%) and family size of not more than 4. On the other hand, 596(64.4%) of the respondents with educational status of degree and above were found to afford the scheme.
Figure 3 : Affordability of SHI Among Formal Public Servants in Metekel Zone, Benishangul-Gumuz Regional State, 2021, (n=925)
Factors Associated with Affordability SHI Scheme
Family Size and Educational Level were found to be significant factors associated with Affordability of SHI scheme in multi variable analysis. Respondent with family size of 1-3 were 3.38 times more able to afford the premium as compared to that of family size >=4 (AOR 3.38, 95CI.1.33-8.63). As the result revealed that public servants with educational level of Master & above were two times (50%) able to afford the scheme as compared to those with Degree & Below (AOR 0.52, 95% CI, 0.012-0.0.23).
|
Variable |
Afford |
Not Afford |
||
|
Frequency |
Percent |
Frequency |
Percent |
|
|
Occupation |
|
|
|
|
|
|
190 |
20.5 |
0 |
0 |
|
|
218 |
23.5 |
1 |
0.1 |
|
|
348 |
39.2 |
15 |
1.62 |
|
Family size |
|
|
|
|
|
<4 |
487 |
52.6 |
1 |
0.1 |
|
>4 |
418 |
45.1 |
9 |
2.05 |
|
Educational status |
|
|
|
|
|
Degree & below |
236 |
25.5 |
3 |
0.32 |
|
Master & above |
639 |
69 |
6 |
1.72 |
Table 5:Affordability and Socio Economic Status of Public Servants in Metekel zone, Benishangul-Gumuz Regional State, 2021
|
Variables |
Category |
SHI |
COR (95% CI) |
AOR(95% CI) |
PV |
|
|
Not Afford Afford |
Afford |
|||||
|
Family Size |
1-3 |
1 |
487 |
0.045(0.006- |
3.38(1.33- |
0.011 |
|
|
|
|
|
0.339) |
8.63)*** |
|
|
|
>=3 |
19 |
418 |
|
|
|
|
|
|
|
|
1 |
1 |
|
|
Educational Level |
Degree & below Master & Above |
18
2 |
309
596 |
1
17.36(4.0-75.2) |
1
0.52(0.012- 0.23)*** |
.000 |
|
Sex |
Male |
17 |
560 |
3.49(0.70-1.03) |
0.174(0.44- |
0.056 |
|
|
|
|
|
|
0.68) |
|
|
|
Female |
3 |
345 |
1 |
|
|
|
|
|
|
|
|
1 |
|
|
Religion |
Orthodox |
5 |
590 |
0.23(0.56-8.76) |
2.1 |
0.31 |
|
|
Muslim |
10 |
178 |
2.03(0.107- |
0.41 |
0.19 |
|
|
|
|
|
1.56) |
|
|
|
|
Others |
5 |
137 |
|
1 |
|
|
|
|
|
|
1 |
|
|
|
Occupation |
Health Facility |
1 |
218 |
1 |
1 |
|
|
|
College Town |
4 |
339 |
0.38(0.14-0.19) |
0.96(0.85- |
0.94 |
|
|
|
|
|
|
1.64) |
|
|
|
Administration |
15 |
348 |
0.11(0.86-1.96) |
|
0.98 |
|
|
|
|
|
|
0.19(0.96- |
|
|
|
|
|
|
|
1.06) |
|
|
Work Experience (year) |
1-5 |
4 |
339 |
0.27(0.24-0.81) |
0.29(0.98- |
0.29 |
|
|
|
|
|
|
1.09) |
|
|
|
5-10 |
1 |
218 |
0.11(0.02-0.05) |
|
0.6 |
|
|
|
|
|
|
0.51(0.44-4.4) |
|
|
|
10-15 |
15 |
348 |
1 |
|
|
|
|
|
|
|
|
1 |
|
|
Got sick in the last 12 |
Yes |
11 |
369 |
1.77(0.1-0.9) |
0.3(0.89-1.32) |
0.32 |
|
month |
No |
9 |
536 |
1 |
1 |
|
Table 6 : Determinants of Affordability to SHI Scheme Among Public Servants in Metekel Zone, Benishangul-Gumuz Regional State, 2021,(n-925)
Discussion
The current study aims to asses Affordability of the proposed social health insurance and its associated factor in Metekel zone.In this study majority of the public servants (97.8%) of the respondents can afford 3% of their gross salary for social health insurance coverage. The finding was higher than Affordability of SHI among public servants in Arba-Minch town/2019. This could be the difference in the socioeconomic status of the respondents.
From this finding affordability of social health insurance the socio-demographics of the participant. This is in line with one study conducted in Ethiopia. Suggesting that the affordability of social health insurance differs by socio-demographic backgrounds. In this study educational Level and family size were significantly associated with the affordability of the newly proposed SHI scheme. This finding is consistent with study done in America on the uninsured and affordability of health insurance coverage and the study done on Refusal to enroll in Ghana’s national health insurance scheme.
Respondents with smaller family size were more able to afford the premium as compared to those with larger family size. This finding was consistently related to the study done in Affordability of SHI among public servants in Arba-Minch town, which revealed that Respondents with family size of 1- 2 were 3 times more able to afford the premium as compared to that of family size >4.The finding is also in line with study done in Ghana, which revealed that the un affords had a mean household size of 5.5, larger than the mean household size of 4.4. As expected, expense of life will increase with increasing of family size and that might interfere with affordability of the scheme.
As result revealed, public servants with educational status of degree and above were more able to afford the scheme. This finding is supported by study conducted in public servants in Arba Minch town, which revealed that educational status of degree and above were 75% more able to afford the scheme as compared to those with certificate and below level and the study done in Dubai .This is mainly because, when educational status of public servants is advancing their carrier as well as monthly income will also improve.
Conclusion
The study revealed that Majority of the respondent were able to afford the proposed 3% of gross salary per month contribution as social health insurance scheme premium. Educational Level, family size were factors that significantly interfere with participant’s affordability status. Majority of the respondent in this study found that they have poor knowledge about social health insurance and more than half of the participant in this study have poor Attitude toward the proposed scheme.
Recommendation
Based on the findings, we forward the following recommendations:
For Researchers
For other researcher who had an interest to do their research on this area I recommend to include pensioner and private organization or institution as a part of their research.
For a Federal Minister of Health
As the study indicated that more than half had poor knowledge and Attitude about Social Health insurance. Therefore, there is a need to reinforce information, education, and communication about SHI before the implementation of the scheme through advocacy and awareness creating activities.
For the Government of Ethiopia
Although majority of respondents were able to afford the proposed monthly contribution, but till there are employees who cannot afford. Therefore it is better to think of remedial to enroll those who were not able to afford the insurance scheme like by provision of indigent subsidy.
Limitation
The study did not include Pensioners and private formal servants who are part of the proposed scheme. This study uses 12 12-month recall time for getting sick and the amount of payment for their diagnosis and treatment, and this is prone to recall bias. This study was the first of its kind in our country, and it’s difficult to get more references in this area to discuss.
Acknowledgments
I would like to thank the University Of Gondar college of medicine and health sciences, institute of public health, department of health systems and policy, which allowed me to do my research on this interesting topic, I would like to express my sincere and heartfelt gratitude to my research advisors Mss. Banchlay Addis (BSc, mph) for their price less support and my acknowledgment also extends to librarian for their cooperation. I am also pleased to extend my thanks to Metekel zone public servants for their welcoming approach and contribution in providing me valuable information and data for developing this research proposal.
Moreover, I would want to express my appreciation for the study participants of this research who have devoted their time to provide genuine information to us for our research, and I also thank my data collector for their priceless support.
Funding
PHSC has funded this research
Declaration
I hereby declare that the information given above and in the enclosed document is true to the best of my knowledge and belief, and nothing has been concealed therein. I understand that if the information given by me is proven to be untrue. I will have to face the punishment as per the law
Availability of Data and Materials
The source of the data is present at the corresponding author upon reasonable request by concerned individuals.
Authors’ contributions
For this study SAC, BA, DGG and SDB designed, writing result, prepare manuscript for this research. And again highly participated interpretation and analysis of this research finding. All authors approved the final manuscript of this research.
Ethics Approval and Consent
To for this research Ethical clearance was obtained from the Ethical review committee of university of Gondar in Ethiopia. After formal letter written to study area data collection was started and verbal consent was obtained from participants.
Competing Interests
There are no competing interests among author and coauthors.
References
- WHO, O. (2013). The world health report 2013: Research for universal health coverage. World Health Organization..
- Federal Democratic Republic of Ethiopia Ministry of Health. 2016.
- Accounts EH. Ethiopian Health Accounts Household Health Service Utilization and Expenditure Survey [Internet]. Vol. 16. (2017). Household Health Service Utilization and Expenditure Survey.
- EACDS091 Ethiopia (2020 Dec 11) - MTR HTSP - HEART- Hera [Internet]. 5.
- Agago, T. A., Woldie, M., & Ololo, S. (2014). Willingness to join and pay for the newly proposed social health insurance among teachers in Wolaita Sodo town, South Ethiopia. Ethiopian journal of health sciences, 24(3), 195-202.
- Federal Democratic Republic of Ethiopia Ministry of Health.
- Kruk, M. E., Goldmann, E., & Galea, S. (2009). Borrowing and selling to pay for health care in low-and middle-income countries. Health Affairs, 28(4), 1056-1066.
- Macha, J., Harris, B., Garshong, B., Ataguba, J. E., Akazili, J., Kuwawenaruwa, A., & Borghi, J. (2012). Factors influencing the burden of health care financing and the distribution of health care benefits in Ghana, Tanzania and South Africa. Health policy and planning, 27(suppl_1), i46-i54.
- Xu, K., Evans, D. B., Kawabata, K., Zeramdini, R., Klavus, J., & Murray, C. J. (2003). Household catastrophic health expenditure: a multicountry analysis. The lancet, 362(9378), 111-117.
- FMOH. (2016). Health Care Financing Strategy 2017 – 2025.
- Carrin, G., & James, C. (2005). Social health insurance: key factors affecting the transition towards universal coverage. International Social Security Review, 58(1), 45-64.
- Mariam, D. H. (2001). Exploring alternatives for financing health care in Ethiopia: an introductory review article. Ethiopian Journal of Health Development, 15(3), 153-163.
- Charles, N., Weber, A. (2009). SOCIAL HEALTH INSURANCE A guidebook for planning.
- Gruber J SD. When is health insurance affordable? Evidence from consumer expenditures and enrolment in employer-sponsored health insurance.
- Levy H DT. What do people buy when they don’t buy health insurance and what does that tells us about why they are uninsured? Inquiry.
- Bundorf, M. K., & Pauly, M. V. (2006). Is health insurance affordable for the uninsured?. Journal of health economics, 25(4), 650-673.
- Muennig, P., Sampat, B., Tilipman, N., Brown, L. D., & Glied, S. A. (2011). We all want it, but we don't know what it is: toward a standard of affordability for health insurance premiums. Journal of Health Politics, Policy and Law, 36(5), 829-853.
- De Allegri, M., Sanon, M., & Sauerborn, R. (2006). “To enrol or not to enrol?”: a qualitative investigation of demand for health insurance in rural West Africa. Social science & medicine, 62(6), 1520-1527.
- Basaza, R., Criel, B., & Van der Stuyft, P. (2008). Community health insurance in Uganda: why does enrolment remain low? A view from beneath. Health policy, 87(2), 172-184.
- Pauly, M. V. (2007). Insights on demand for private voluntary health insurance in less developed countries. Private voluntary health insurance in development: Friend or Foe, 25-54.
- Dong, H., De Allegri, M., Gnawali, D., Souares, A., & Sauerborn, R. (2009). Drop-out analysis of community-based health insurance membership at Nouna, Burkina Faso. Health policy, 92(2-3), 174-179.
- Franco LM, Simpara CHT, Sidibé O, Kelley AG, Diop FP, Makinen M et al. (2006 ). Equity Initiative in Mali: Evaluation of the impact of mutual health organizations on utilization of high impact services in Bla and Sikasso Districts in Mali. Bethesda, MD: Partners Heal Reformplus Proj Abt Assoc Inc.
- F. D. (2005). Determinants of financial stability of mutual health organizations in the Thies Region of Senegal: household survey component. Bethesda, MD: Partners Heal Reformplus Proj Abt Assoc Inc.
- Chankova, S., Sulzbach, S., & Diop, F. (2008). Impact of mutual health organizations: evidence from West Africa. Health policy and planning, 23(4), 264-276.
- Kumi-Kyereme, A., Amu, H., & Darteh, E. K. M. (2017). Barriers and motivations for health insurance subscription in Cape Coast, Ghana: a qualitative study. Archives of Public Health, 75, 1-10.
- Kusi, A., Enemark, U., Hansen, K. S., & Asante, F. A. (2015). Refusal to enrol in Ghana’s National Health Insurance Scheme: is affordability the problem?. International journal for equity in health, 14, 1-14.
- Lasebew, Y., Mamuye, Y., & Abdelmenan, S. (2017). Willingness to pay for the newly proposed social health insurance among health workers at St. Paul’s Hospital Millennium Medical College, Addis Ababa, Ethiopia. Int J Health Econ Policy, 2(4), 159.
- Ahmed, S., Hoque, M. E., Sarker, A. R., Sultana, M., Islam, Z., Gazi, R., & Khan, J. A. (2016). Willingness-to-pay for community-based health insurance among informal workers in urban Bangladesh. PloS one, 11(2), e0148211.
- Nosratnejad, S., Rashidian, A., Mehrara, M., Sari, A. A., Mahdavi, G., & Moeini, M. (2014). Willingness to pay for social health insurance in Iran. Global journal of health science, 6(5), 154.
- Oyekale, A. S. (2012). Factors influencing households' willingness to pay for National Health Insurance Scheme (NHIS) in Osun State, Nigeria.
- Asante, F., & Aikins, M. (2008). Does the NHIS cover the poor. Ghana: Danida health sector support Ofice.
- Jehu-Appiah, C., Aryeetey, G., Spaan, E., De Hoop, T., Agyepong, I., & Baltussen, R. (2011). Equity aspects of the National Health Insurance Scheme in Ghana: Who is enrolling, who is not and why?. Social science & medicine, 72(2), 157-165.
- NDPC; The, National Development Planning Commission. Citizen’s Assessment of National Health Insurance Scheme. Accra, Ghana: 209AD.
- Sarpong, N., Loag, W., Fobil, J., Meyer, C. G., Adu-Sarkodie, Y., May, J., & Schwarz, N. G. (2010). National health insurance coverage and socio-economic status in a rural district of Ghana. Tropical medicine & international health, 15(2), 191-197.
- Witter, S., & Garshong, B. (2009). Something old or something new? Social health insurance in Ghana. BMC International health and human rights, 9, 1-13.
- MA. K. (2013). Improving health insurance coverage in Ghana. African Studies Centre,African studies collection,. Netherlands African Stud Centre,15.
- Amporfu, E. (2013). Equity of the premium of the Ghanaian national health insurance scheme and the implications for achieving universal coverage. International journal for equity in health, 12, 1-9.
- Haile, M., Ololo, S., & Megersa, B. (2014). Willingness to join community-based health insurance among rural households of Debub Bench District, Bench Maji Zone, Southwest Ethiopia. BMC Public Health, 14, 1-10.
- Lasebew, Y., Mamuye, Y., & Abdelmenan, S. (2017). Willingness to pay for the newly proposed social health insurance among health workers at St. Paul’s Hospital Millennium Medical College, Addis Ababa, Ethiopia. Int J Health Econ Policy, 2(4), 159.
- Entele, B. R., & Emodi, N. V. (2016). Health insurance technology in Ethiopia: willingness to pay and its implication for health care financing. Am J Public Health Res, 4(3), 98-106.
- Azhar, A., Rahman, M. M., & Arif, M. T. (2018). Willingness to pay for health insurance in Sarawak, Malaysia: a contingent valuation method. Bangladesh Journal of Medical Science, 17(2), 230-237.
- Bärnighausen, T., Liu, Y., Zhang, X., & Sauerborn, R. (2007). Willingness to pay for social health insurance among informal sector workers in Wuhan, China: a contingent valuation study. BMC Health Services Research, 7, 1-16.
- Borges, A. P., Reis, A., & Anjos, J. (2017). Willingness to pay for other individuals' healthcare expenditures. Public Health, 144, 64-69.
- Nguyen, L. H., & Hoang, A. T. D. (2017). Willingness to pay for social health insurance in central Vietnam. Frontiers in public health, 5, 89.
- ECO M of. Ethiopia Dro: (2011/ 2012). Ministory of ECO social health insurance regulation number 2011/2012 Federal Negarit gazeta.
- Nguyen, L. H., & Hoang, A. T. D. (2017). Willingness to pay for social health insurance in central Vietnam. Frontiers in public health, 5, 89.
- Entele, B. R., & Lee, J. (2020). E.

- Zemene, A., Kebede, A., Atnafu, A., & Gebremedhin, T. (2020). Acceptance of the proposed social health insurance among government-owned company employees in Northwest Ethiopia: implications for starting social health insurance implementation. Archives of Public Health, 78, 1-10.
- FMo. (2006). Ethiopia’s Third National Health Accounts.
- Nosratnejad, S., Rashidian,A., Mehrara, M., Jafari, N., Moeeni, M., & Babamohamadi, H. (2016). Factors influencing basic and complementary health insurance purchasing decisions in Iran: Analysis of data from a national survey. World Medical & Health Policy, 8(2), 179-196.
- Mohammad, Salameh. (2020 Dec 12). WILLINGNESS TO PAY FOR SOCIAL HEALTH INSURANCE AMONG ACADEMIC STAFF OF A PUBLIC UNIVERSITY INMALAYSIA International Journal of Public Health and Clinical Sciences [Internet].
- Document, S. cat ee74 Net . "WILLINGNESS TO PAY.
- Tewele, A., Yitayal, M., & Kebede, A. (2020). Acceptance for social health insurance among health professionals in government hospitals, Mekelle city, North Ethiopia. Advances in Public Health, 2020(1), 6458425.
- Kusi, A., Enemark, U., Hansen, K. S., & Asante, F. A. (2015). Refusal to enrol in Ghana’s National Health Insurance Scheme: is affordability the problem?. International journal for equity in health, 14, 1-14.
- Leonard, Davis. (2018). WHAT IS “AFFORDABLE”HEALTH CARE,A review of concepts to guide policymakers,. Inst Heal Econ USoC.
- Glied, S. (2009). Mandates and the affordability of health care. INQUIRY: The Journal of Health Care Organization, Provision, and Financing, 46(2), 203-214.
- Ethiopia, Fdr. (2015). Ethiopia’s Progress Towards Eradicating Poverty.
- Abebaw, B., Jara, D., Asmamaw, T., & Chanie, T. (2018). Willingness to Pay for the Newly Proposed Social Health Insurance Scheme and Associated Factors Among Civil Servants in Debre Markos Town, North West Ethiopia, 2015. Med Res Clin Case Rep, 2(2), 164-77.
- Mulatu, B. B. (2019). Awareness and affordability of the newly proposed social health insurance among public servants in Arba Minch town, SNNPR, Ethiopia/2019. Addis Ababa, Ethiop.
- Kusi, A., Enemark, U., Hansen, K. S., & Asante, F. A. (2015). Refusal to enrol in Ghana’s National Health Insurance Scheme: is affordability the problem?. International journal for equity in health, 14, 1-14.
- Dubay, L. (2006). The Uninsured And The Affordability Of Health Insurance Coverage: Examining subgroups of uninsured Americans uncovers certain patterns of coverage gaps, but affordability remains a key concern. Health Affairs, 25(Suppl1), W22-W30.

