Globally an estimated 13 billion people lack access to effective and affordable health care, and annually additional 150 million people in 44 million households face financial catastrophe as a result of paying directly for health care. Also, about 100 million people are pushed into poverty due to the need to pay for health services  . The availability of the necessary finance remains a formidable obstacle to further progress in many developing countries. Also, the economic growth rate has been much lower than the rate of population growth. For so many reasons, the health sector has often found itself with a budget which has declined substantially in real terms. Poverty and poor access to health care services are major development problems in Africa particularly in Nigeria  .
Health insurance is attracting more and more attention in low and middle income countries as a means for improving health care utilization and protecting households against impoverishment from out-of-pocket expenditures   . Also, World Health Organization (WHO) considers health insurance a promising means of achieving universal health care coverage  . Social health insurance scheme is one of the major sources of health care financing used by virtually all developed countries and some developing countries  . African governments focused on direct payment, after most countries started to move more towards facilitating health insurance schemes. Africans live, on average, 14 years less than the average world citizen, and 21 years less than the average European  , so efficient healthcare financing is very essential for improvements in the health indicators. Direct payment at point of use is the least optimal way of financing healthcare. According to WHO, two years after Burundi introduced user fees for healthcare in 2002; four out of five in that country were either in debt or had sold assets to pay for healthcare  . In Rwanda, 91% of the population belongs to one of the three health insurance schemes, while only, 30% of private health expenditure was out-of-pocket in Botswana  . Health insurance coverage is increasing in Ghana, Tanzania and South Africa. The coverage increased from 8.5% in 2008 to 18.1% in 2011, and 32% in 2010 to 35% in 2012 in Tanzania and Ghana respectively   . Health insurance is among the solutions promoted in developing countries since the 1990s to improve access to health care services because it avoids direct payment of fees by patients and spreads the financial risk among all the insured   .
Heath Insurance Schemes have been in operation in Germany since 1883, Norway 1909, Sweden 1910, and Russia 1911. In United Kingdom, compulsory Health Insurance became law in 1911   . Today, virtually all countries in the developed world and several in the developing world e.g. India and Indonesia use health insurance as one of the viable ways of financing heath care. In Nigeria, the need for the health insurance as one of the necessary means of health care financing was recognized over 50 years ago. The federal government, seeking a panacea for this challenge, launched the National Health Insurance Scheme (NHIS) on October 15th 1997, while the enabling law was signed in May 1999. However, actual implementation commenced in 2002, while the scheme was re-launched on June 6, 2006 in Abuja by President Olusegun Obansajo    . The National Health Insurance coverage has been on the increase over the last decade; from less than 150,000 lives in 2004 to about 5 million (3% of the population) in 2014, though the presidential mandate to ensure universal coverage of Nigerians by 2015 was not achieved   . There was resistance in the onset of the scheme, in 2013, 98% of all Nigerian federal employees and two million additional private sector workers enrolled with NHIS   .
The Nigeria Health sector has been chronically under-funded despite increasing need for health services. This has resulted in a very sharp drop in health indices with an infant mortality rate of 72/1000; an under-five mortality rate of 112/1000; and a maternal mortality rate estimated to be 800/100,000   , but there are wide zonal differences with the highest in the north-east zone. The numerous problems confronting the health sector in Nigeria would remain unresolved unless and until proper attention is given to the issues of adequate funding and management   .
Several health care financing systems have been utilized ranging from out of pockets expenditures, employer finance mechanisms, general tax revenues, charitable or voluntary organizations, community based health care financing methods, and recently social health insurance schemes  . Despite all these strategies, access to health care in Nigeria is still far below the global standards     . Nigeria’s National Health Insurance was established to ensure health insurance coverage for the general population, but less than 10% people have registered and most of them are employer based   .
Willingness to pay determination is increasingly assuming a key role in decision making and policy formulation, and this is especially true in the valuation of benefits, modelling of demand and the design and implementation of user fees for a variety of services and good  .
Although, the scheme has formally taken off in the federation, how much of this innovative scheme does the Nigeria populace know? How ready are the health facilities for this scheme? Is the scheme viable within the Nigerian socio-cultural context? These are some of the vital questions begging for answers that informed the choice of this study. Other questions include the influence of economic factors and health status in the utilization of the scheme. The result of this study will help the policy makers to achieve more success for the scheme.
The study was conducted among heads of households and health workers in Enugu East Local Government Area (LGA), of Enugu State. One of the thirty six states in Nigeria, Enugu is the capital of old eastern region and of current Enugu state in south- east, Nigeria, with a population of 722,644 people. Seventeen local government areas make up the state while the Enugu metropolis comprises of three local government areas: Enugu east, Enugu south and Enugu north. The Enugu east LGA headquarters is at Nkwo Nike which has six health districts: Abakpa-Nike, Trans-Ekulu, Emene, Mbulujodo, Mbuluoweghe and Mbuluiyiukwu. Three of the districts are rural, while the remaining three are urban. The LGA has 12 health centres/health posts, a comprehensive health centre and 65 private owned hospitals, clinics and maternities which are registered with the Enugu state ministry of health. The people in the LGA are mostly Igbos, but people of other ethnic groups such as Yoruba, Hausa, Ijaw and Isoko also reside in the LGA. Majority are traders, civil servants, and artisans. English and Igbo languages are commonly spoken by the people  .
In this study area, a cross sectional survey was carried out, using multi-stage sampling technique to select the sample studied. Simple random sampling was used to select one urban and one rural district from the sample frame of six districts in Enugu East LGA. Two political wards were selected by simple random sampling (balloting) from each of the districts. Ten Streets were selected by simple random sampling (balloting) from the districts. Finally, 400 heads of households were selected by systematic sampling. All 43 health workers in health facilities in the two districts selected were included in the study.
The justification for the study area was that the LGA has rural and urban districts, while heads of households are mostly responsible for the medical expenses incurred, so their perception and willingness to pay is very important for the success of the scheme. Also, health workers knowledge and health system readiness to participate is crucial for accessibility.
Ten trained interviewers administered the questionnaires which had been translated to the local Igbo language. Data collected was analysed using SPSS Statistical software version 20, and statistical significance of association between variables was assessed using Chi-square test at p < 0.05. Ethical approval was obtained from Health Research Ethics Committee of University of Nigeria Teaching Hospital, Enugu. Permission was obtained from the chairman of Enugu East LGA, while verbal and written consent was obtained from the head of households and the health workers respectively.
The sample size was determined by use of the statistical formula
d = minimum sample size, Z = standard normal deviate set at 95% confidence interval (1.96), P22 = proportion in the target population estimated from a previous study on willingness to participate in the NHIS according to the study done in Ilorin, Kwara state, Nigeria was 66.1%, d = degree of accuracy which is 0.05,
n = 3.44. The minimum sample size was equal to 344 approximately, but the sample size was increased to 400 to make room for non-response.
The sample size (43) for health workers included all health workers in all the health facilities in the selected districts in Enugu East LGA that registered with the State Ministry of Health.
Questionnaire used for heads of households captured information on awareness, perception, willingness to pay and how much they are willing to pay for the scheme, while those for health workers included awareness, and readiness to participate in the scheme.
Perception of the participants on NHIS was assessed using a questionnaire comprising of 15 questions and categorized as: correct (12 or more correct answers), wrong (3 or fewer correct answers).
Definition of variables: Government workers in this study referred to the civil servants and military, while non-government workers are traders, farmers, artisans, and others. Head of household is either the husband, wife, or the most senior adult in the house during the period of the study. All the health workers in the health facilities represent the facilities in this study.
3.1. Socio-Demographic Characteristics of the Study Participants
A total of 400 heads of households participated in the study. Majority of them were males 255 (63.8%), and the mean age was 36.3 ± 11.6 years. Majority of the respondents were between ages of 30 - 49 years (53.6%). Among the respondents, three hundred and three (75.8%) were married, while only 60 (15%) had tertiary education. Most of the respondents were self-employed 279 (69.7%) (Table 1).
3.2. Awareness and Sources of Information on NHIS
Table 2 reveals that majority of the participants 56.8% are aware of NHIS, and the sources of information are radio 109 (48%), television 32 (14.1%), newspaper 20 (8.8%), seminar 4 (1.8%), and others 62 (27.3%).
3.3. Awareness, Perception and Willingness to Pay According to Level of Education of Respondents
Table 3 shows that awareness increased significantly with increasing level of education from 37.5% at no formal education to 58.5%, 58.8%, and 70.3% at primary, secondary, and tertiary educational levels respectively (X2 = 16.083, df = 3, p = 0.00).
Those that had correct perception among the respondents were 239 (59.8%), while those with wrong perception were 161 (40.2%). The perception on NHIS improved significantly with increasing educational levels from 47.2% at no formal education to 54.1%, 65.4%, and 70.3% at primary, secondary and tertiary educational levels respectively (X2 = 11.167, df = 3, p = 0.01).
Most of the participants 356 (89%) are willing to pay for NHIS, but only 175 (43.8%) were willing to pay mandatory 5% premium of their earnings. Willingness to pay for NHIS according to levels of education was not statistically significant (X2 = 1.274, df = 3, p = 0.64).
3.4. Awareness, Perception and Willingness to Pay According to Occupation of Respondents
Table 4 shows that awareness among those respondents who are Government employed
Table 1. Socio-demographic characteristics of the respondents.
Table 2. Awareness and sources of information on NHIS.
Table 3. Awareness, perception and willingness to pay according to level of education of respondents.
Table 4. Awareness, perception and willingness to pay according to occupation of respondents.
(66.9%) are significantly more than those that are not employed by Government (54.1%). More Government employed respondents 71.1% had correct perception of NHIS than non-Government respondents 45.2%, but not statistically significant (X2 = 4.243, df = 1, P = 0.67). Willingness to pay for NHIS was significantly more among the Government employed 93.4% than non-Government employed 85.7% (X2 = 5.169, df = 1, P = 0.02).
3.5. Awareness, Perception and Willingness to Pay According to Sex of Respondents
Table 5 shows that awareness is more among males 57.3% compare to females 51.7%, but the difference was not statistically significant (X2 = 0.437, df = 1, P = 0.64). Also, greater proportion of males 61.1%, had correct perception than females 58.6%. Those who are willing to pay for NHIS are more among males 90.6% than females 86.2%. The differences observed in perception and willingness to pay among the respondents according to sex are not statistically significant respectively (X2 = 0.336, df = 1, P = 0.56, X2 = 1.813, df = 1, P = 0.18).
3.6. Preferred Mode of Payment for Health Care Services
Most respondents 61% preferred government alone to pay for healthcare services while 12.2% preferred payment through insurance. Only 6.5% wanted payment for healthcare services from pocket (Table 6).
Table 5. Awareness, perception and willingness to pay according to sex of the respondents.
3.7. Percentage of Earnings Willing to Pay for NHIS by the Participants
Table 7 reveals that majority of respondents 89% are willing to pay for NHIS, but only 43.8% are willing to pay mandatory 5% premium of the salary. Fourty-four (11%) participants are not willing to pay any amount as premium, One hundred and one (45.2%) are willing to pay between (1% - 4%), while no one is willing to pay above 5% of their earning.
3.8. Health Sector Readiness for NHIS
Table 8 reveals that awareness among health workers was high 86%, but only 34.9% of the health workers interviewed believed that the health sector system are ready for the scheme. Also, only 11.6% of the health facilities have been enlisted for the scheme
Table 6. Preferred mode of payment for health care services.
Table 7. Percentage of earnings willing to pay by the participants.
Table 8. Health sector readiness for NHIS.
among the hospitals in the study area. About 69.8% of the respondents believed that they are not knowledgeable on health insurance, while only 32.6% said providers’ mobilization is enough for NHIS. Most respondents 93% are willing to participate in the NHIS.
Majority of households were headed by males 63.8%. This is similar to the study done in Osun State, South-West, Nigeria  , but different from the study carried out in an urban south Indian population where 61.6% of respondents were females  . Also, majority of the participants are in their productive age (30 - 50 years) in both studies. The awareness of NHIS in this study is above average 56.8%. This level of awareness is greater than the study done in 2012  , but less than the studies done in Northern Nigeria and Southern India where awareness was 98.7% and 64% respectively    . However, our result is similar to the findings in the studies done in Cross-River and Kogi States   . This difference in level of awareness could be as a result of the fact that our study was done about two years after the NHIS started in Nigeria. The studies done in Ilorin and in South-East, Nigeria on awareness and attitude of medical practitioners towards NHIS revealed 100% awareness of the scheme   . The difference with this study might be because all the categories of health workers were participants in our study unlike the studies in Ilorin and South-East that involved only medical doctors and radiographers respectively. Also, in this study, most respondents major sources of information among the heads of households are Radio and Television, but in the study done among medical practitioners, their major source of information are newspapers, while seminars in the hospitals were noted to be major source of information among radiographers   . This could be due to differences in the literacy level. Among the respondents, only 44% of them felt that they have adequate information, while 24.3% felt that people are adequately mobilized about the scheme. The study is similar to the one conducted in Ilorin that revealed that the level of information and mobilization of the public is still inadequate for the scheme. This is unpleasant observation as adequate information and mobilization of both public and healthcare providers is very essential for acceptability.
The perception about the NHIS in the LGA is encouraging as 55.5% believed that health insurance is a way of paying for healthcare services, 77.8% believed everybody can be health insured and 77% believed that NHIS will work in Nigeria. From this study, more than average of the respondents had correct perception of NHIS, and this is influenced by the level of education. This could be that more people got the information from the print media. Our findings on perception are similar to the results on the studies conducted in Southern Nigeria and South Africa     . In our study, awareness and perception of NHIS was significantly higher among the respondents that are government employed compared to those not employed by government. This difference could be due to the fact that the scheme has commenced fully among federal civil servants in the country.
Our findings in this study revealed about 89% of the respondents among heads of households are willing to pay for the NHIS, but only 43.8% of the respondents are willing to pay mandatory 5% premium of their earnings. This result is different from the study conducted in South Africa where only 39% of the population was willing to take health insurance  . Levels of education, sex, and occupation of respondents affected willingness to pay in this study. Though, premium on our study was based on percentage of their earnings, the result is similar to studies done on willingness to pay for private voluntary health insurance scheme in South-East, Nigeria, and willingness to pay for community health insurance and its determinants among household heads in rural communities in North-Central Nigeria, India South Africa       . It was found out that more male 90.6% are willing to pay for the scheme than female 86.2%. Most of the respondents 95.9% from this study are willing to pay 1% - 3% premium of their earnings, while no respondent is willing to pay above 5% of their earnings. Our findings are significant for the policy makers of NHIS for good coverage and implementation because most respondents are not willing to pay 5% of their earnings as premium as presently stipulated. The findings in this study have shown that the scheme is viable within the Nigerian socio-cultural context, but more studies should be done on the health needs and utilization.
Most respondents among heads of households 96% preferred liberalization of the benefit package unlike as it is presently packaged. This finding is different from the study conducted in Ilorin where only 43.9% of them accepted NHIS as presently packaged. About 57% of the respondents actually wanted the contribution rate determined by the benefit package selected. This finding about the benefit package is important for the policy makers of the scheme for proper planning and successful implementation. Sex and education levels of the respondents did not influence the benefit package preference as most of them preferred liberalization of the package.
In our study, most of the respondents among the healthcare workers 93% are willing to participate in NHIS. This is similar to the study done in Ghana on willingness to participate and pay for the health insurance where over 90% of the respondents agreed to participate in the scheme  , but it is different from the study conducted in Ilorin where only 66.1% are willing to participate  . The difference might be due to the fact the actual implementation has commenced and now more health workers are willing to participate in the scheme because of adequate attention on the scheme presently by the government. The study also revealed that only 11.6% of the health facilities have been enlisted for the scheme among the hospitals in the study area, but 34.9% of the health workers believed that the health sector system are ready for the scheme. The health facilities enlisted is not adequate for the coverage, but this might be due to fear of prompt payment for the services.
5. Conclusions and Recommendations
Majority of the participants in this study had good perception of the scheme and are willing to pay, but the level of awareness was not satisfactory. However, the proportion of the health facilities enlisted for the scheme is not adequate for proper coverage. More efforts should be made to improve on the awareness creation programmes for the public, and the monthly premium should also be reviewed to be within the value that majority of households will be able to afford. The scheme should enlist more private facilities for good coverage.
We acknowledged the sponsor of this study, Alliance for Health Policy and System Research/WHO, and Health Research Group of University of Nigeria that facilitated the sponsorship. The authors would like to show appreciation to heads of households, and health care workers that participated in the study. We also thank the field staff that collected the data for their commitment.
Conflict of Interest
The authors declare that there is no conflict of interests regarding the publication of this paper.
NHIS: National Health Insurance Scheme
LGA: Local Government Area
HMO: Health Maintenance Organization
HCP: Health Care Provider
Submit or recommend next manuscript to SCIRP and we will provide best service for you:
Accepting pre-submission inquiries through Email, Facebook, LinkedIn, Twitter, etc.
A wide selection of journals (inclusive of 9 subjects, more than 200 journals)
Providing 24-hour high-quality service
User-friendly online submission system
Fair and swift peer-review system
Efficient typesetting and proofreading procedure
Display of the result of downloads and visits, as well as the number of cited articles
Maximum dissemination of your research work
Submit your manuscript at: http://papersubmission.scirp.org/
Or contact email@example.com