Health Insurance and User Fees: A Survey of Health Service Utilization and Payment Method in Mushin LGA, Lagos, Nigeria
2 Lagos State Ministry of Health, Nigeria, Email: [email protected]
3 AIICO-Multishield Ltd, Nigeria, Email: [email protected]
4 Royal Cross Medical Centre, Lagos, Nigeria, Email: [email protected]
Citation: Roberts AA, et al. Health insurance and user fees: A survey of health service utilization and payment method in Mushin LGA, Lagos, Nigeria. Ann Med Health Sci Res. 2018; 8: 93-99
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Background: Studies have documented how out-of-pocket payments (OOP) and user fees result in catastrophic health expenditures, providing evidence that health systems are better financed through prepayment mechanisms such as health insurance. Aim: This study sought to determine the perception of community residents to health insurance, their pattern of health service utilization and method and amount of payment. Methods: This descriptive cross-sectional study among 422 household members in Mushin LGA obtained data on sociodemographic characteristics, perception of health insurance, enrollment status and willingness to enroll; last use of health services and method of payment for health care services. Data analysis was done with Epi-info (ver 7) and results were presented as frequencies, percentages, means and standard deviations. Statistically significant associations were determined using the Chi-square test at significance level of p < 0.05. Results: Over half the respondents (56.6%) had not heard about health insurance. Very few (19.7%) were enrolled. Of those not enrolled, 57.1% were willing to consider buying health insurance. The method of payment for health services reported by respondents was OOP (98.3%). Those in younger age groups, with higher levels of education and higher household incomes reported having heard of health insurance. Higher educational level and household incomes were positively associated with willingness to enroll in a health insurance scheme. Conclusion: Awareness was insufficient, health services were paid for mostly from OOP. The authors recommend taking the opportunity to encourage uptake of health insurance for young adults and those in low- and middle-income households.
Health Insurance; User Fees; Out-of-Pocket Expenditure; Lagos; Nigeria
Health systems should provide preventive and curative health services that can ensure the health and wellbeing of community residents. However, it is documented that there are financial barriers to accessing these services can result in people having to use considerable proportions of their household income thereby pushing many households into poverty. [1,2] Making the users of health services pay out of pocket for the services they receive has the potential effect of impoverishing some households that choose to seek services while excluding others from seeking health care. In Nigeria, private health expenditure as a percentage of total health expenditure was 68.5% in 2010. This is made up of out-of-pocket (OOP) personal resources, and constituted 95.6% of private expenditure on health. 
There is vested collective interest in a national commitment to universal health coverage. Apart from the fact that it is a fundamental human right, there are negative effects of poor health outcomes from the individual to the community, between resource-poor and resource-rich communities and even from poor to rich countries. 
The health system in Nigeria has, post colonially, developed along different lines which led to fragmentation of the health system along formal and informal, public and private service provision.  Following the World Health Assembly of 2005 which called for all health systems to move towards universal coverage, Nigeria initiated, developed and implemented a social health insurance policy called the National Health Insurance Scheme (NHIS). [6,7] Studies have been conducted to examine how out-of-pocket payments and user fees result in catastrophic health expenditures, how financial protection to the informal sector can be provided; and ways that public resources can be more equitably allocated, providing evidence that health systems are better financed through prepayment mechanisms such as health insurance and general taxation than through user-fees. 
With the costs of both infectious and non-communicable disease amounting to 7.03% of monthly household incomes in parts of the country, it is essential that improving universal health coverage early in the disease processes is addressed. 
However, there are still gaps in the awareness and utilization of pre-payment and social insurance schemes even among formal sector workers, as well as informal workers and community residents.  This study sought to determine the perception of community residents to health insurance, their pattern of health service utilization and method and amount of payment.
Study background and participant selection
This was a descriptive cross-sectional study carried out among 422 household members between the months of June and September 2014 in Mushin local government area (LGA) in Lagos state. Mushin is one of twenty local government areas (LGA) of Lagos state with a cross section of different socioeconomic groups and socio-economic strata. Majority of the residents are engaged in trading of commodities as diverse as petty trading of perishables to motor spare parts. It is home to local and federal civil servants, and people employed in the formal and informal private sector. There are several markets in the LGA, three comprehensive primary health care centres, and many private and public primary and secondary schools. The Lagos University Teaching Hospital is located on the border of Mushin and Surulere LGAs.
The study participants were household members aged over 18 years, related to, if not, the household head and resident in the area for 2 or more years. The sample size of 422 was determined from the formula for descriptive cross-sectional studies  Z2pq /d2 , at 95% confidence limits, using a prevalence of catastrophic health expenditure in public health institutions with user fees of 0.48 obtained from a previous study,  and with a markup of 10%. Multistage sampling was used to select study participants from 7 of nineteen wards, 6 streets per ward and targeting 10 houses per street. Where there were more than one household in the house, 1 household member was selected by balloting from among those immediately available. In the event that the household head may have gone to work, the only eligibility criterion employed for choosing the study participant was any household member present aged 18 years or older, whose biological relationship to the head could be established.
Study variables and definitions
Data was collected using a structured household-level questionnaire with close-ended questions developed from review of literature. [5,13-17] The main outcome variables were the perception of community residents to health insurance, their pattern of use of health facilities and method of payment for services. Perception was measured by asking whether respondents knew of the existence of health insurance schemes and whether they were enrolled in a scheme. Patterns of use of health facilities documented the last time they used a health facility, and the health complaints necessitating the visit, whether or not they engaged in self-medication and their reasons for doing so – if they did. The method and amount of payment for their last visit to a health facility included asking whether those not enrolled in a scheme were willing to consider buying health insurance.
Data collection and management
Information about the independent variables were collected on the socio-demographic characteristics, self-reported illness profile, healthcare seeking behaviour, and healthcare expenditure. Data was obtained on the socio-demographic characteristics of age of respondent (as at last birthday), sex, educational status, marital status and estimated household monthly income. Perception of health insurance was determined by asking whether they knew about it, whether they were enrolled, how it was paid for (if enrolled) and/or their willingness to enroll. Method of payment for health care services was asked using either of two major methods: paying out of pocket (OOP) or using health insurance. OOP payment was estimated as the sum of all healthcare related expenditures made within the month preceding the survey. The questionnaire was field tested and refined. Trained data collectors, with similar socioeconomic background to that of the respondents and fluent in the local languages, administered the questionnaire.
Data analysis was done with Epi-info (ver 3.5.4) and results were presented as frequencies and percentages, means and standard deviations. Statistically significant associations were determined using the Chi-square test at significance level of p < 0.05.
Ethical clearance was obtained from human research and ethics committee of Lagos University Teaching Hospital. Permission to conduct the study was obtained from the executive chairman of Mushin LGA. Written informed consent was sought from each participant once it clear they understand the purpose of the study. The respondents were assured of total confidentiality and their right to withdraw from the study at any time without consequence. 
Respondents had a mean age of 34.7+ 6.9 years. They were more males, 62.8% (265/422) married, 67.5% (285/422), of Christian faith, 62.3% (265/422), with mostly secondary, 55.2% (233/422) and post-secondary education, 36% (152/422) [Table 1]. Respondents were household heads, 54.7% (231/422), spouses, 27.0% (114/422) or children, 11.1% (47/422) of household heads. Almost a third, 29.6% (125/422) reported a monthly household income of less than N10,000 (equivalent to <$2 a day); however, 96.4% (407/422) owned mobile phones, 90.8% (383/422) owned television sets and 52.1% (220/422) owned generators (size not indicated) [Table 1].
|Demographic Variables||Frequency (%)|
|Age of the respondents|
|61and over||41 (9.7)|
|Sex of the respondents|
|Position in household|
|Head of household||231 (54.7)|
|Monthly Household Income|
|< N5,000||29 (6.9)|
|N5,100 â N10,000||96 (22.7)|
|N10,100 â N25,000||138 (32.7)|
Table 1: Socio-demographic distribution of respondents (N=422).
Awareness of health insurance and health service utilization patterns
The mean amount (SD) spent on hospital bills for registration, consultation, investigations admissions and drugs was N10, 357.35 (N6, 450.76); expenditure for self-medication ranged from N20 to N70,000 with a mean (SD) of N13,583.95 (N6,238.75) and costs for prescribed routine medications ranged from N200 to N100,000. The reported mean (SD) monthly expenditure for eye glasses and dental care was N14,488.97 (N6,738.30) [Table 2].
|Description of expenditure||Mean (SD)|
|Hospital bills (registration, consultation,investigations, admission and drugs)||N10,357. 35 + N6,450.76|
|Self-medication||N13,583.95 + N6,238.75|
|Prescribed routine medications||N16,539.66 + N14,256.10|
|Special costs for eye glasses and dental care||N14,488.97 Â+ N6,738.30|
Table 2: Mean monthly expenditure on healthcare.
Over half of the respondents, 51.7% (218/422) could not remember when they had last used a health service facility; however, of those that had done so, 62.3% (127/204) reported doing so more than a month prior to the survey. Majority, 86.5% (365/422) reported using personal savings to pay. Other sources of money were borrowing money, 6.2% (26/422), accepting help from friends/relations, 5.7% (24/422) and health insurance, 1.7% (7/422). Almost three-quarters of respondents, 71.6% (302/422) reported treating themselves before seeking help outside the home and the major reasons were the perception that the illness was not serious, 73.0% (220/422), self-medication was the cheaper option, 71.1% (214/422) and they knew what medicine to take, 64.2% (194/422) [Table 3]. The major reasons for visiting health facilities were fever, 62.3% (263/422), headaches, 61.4% (259/422), joint pains, 53.8% (227/422) and low back pain, 47.9% (202/422) [Figure 1].
|When last visit to health facility was made|
|Past week||33 (7.8)|
|Between one week to one month ago||44 (10.4)|
|More than a month ago||127 (30.1)|
|Don’t remember||218 (51.7)|
|Source of funds to make payment at last visit to facility|
|Personal savings||365 (86.5)|
|Borrowed from friends||26 (6.2)|
|Contributions from friends/family||24 (5.7)|
|Health insurance||7 (1.7)|
|Treats oneself before seeking help outside the house|
|Reasons for self-medication before going to the hospital* (n=302)|
|It is cheap||214 (71.1)|
|Illness is not serious||220 (73.0)|
|Distance to the health facility is too far||117 (38.6)|
|Religious/traditional beliefs||69 (22.7)|
|Chemists are nearer||185 (61.4)|
|I know what medicine to take||194 (64.2)|
|Health workers are unfriendly||89 (29.6)|
|Health workers are not always available at the health facility||65 (21.6)|
|I take native medication (agbo)||151 (50.0)|
|*multiple responses permitted|
Table 3: Pattern of respondents’ health facility utilization (n=422).
Over half the respondents, 56.6% (239/422) had not heard about health insurance. One hundred and eighty-three respondents (43.4%) had heard of health insurance schemes, and of that proportion, 36/183 (19.7%) were enrolled in a scheme. Of those that had registered with any type of insurance scheme payment was either by government, 47.2% (17/36), their employer, 38.9% (14/36) or themselves, 13.9% (5/36). Of those had either not heard (239/422), or heard but not enrolled (147/183), 57.1% (220/386) were willing to consider buying health insurance [Table 4].
|Ever heard about health insurance (N=422) Yes||183 (43.4)|
|Enrolled in health insurance scheme (N=183) Yes||36 (19.7)|
|Method of payment as an health insurance enrollee (N=36)|
|Willing to consider buying health insurance (N=386) Yes||220 (57.1)|
Table 4: Distribution of respondents’ perception of health insurance.
Age of the respondents, educational level and household incomes were significantly correlated to whether the respondents had heard of health insurance. Those in younger age groups, with higher levels of education and higher household incomes were associated with having heard of health insurance. However, only higher educational level and household incomes were positively associated with willingness to enroll in a health insurance scheme [Table 5].
|Have you heard of health insurance||N=422|
|Male||112 (42.3)||153 (57.7)||χ2 = 0.2|
|Female||71 (45.2)||86 (54.8)||P = 0.62|
|<20||1 (16.7)||5 (83.3)|
|21-30||33 (46.5)||38 (53.5)||χ2= 20.8|
|31-40||89 (55.3)||72 (44.7)||P = 0.004|
|41-50||29 (34.9)||54 (65.1)|
|51-60||19 (31.7)||41 (68.3)|
|61and over||12 (30.0)||28 (70.0)|
|Primary||3 (15.0)||17 (85.0)|
|Secondary||71 (30.5)||162 (69.5)||χ2 = 68.1|
|Post-secondary||105 (69.1)||47 (30.9)||P <0.0000|
|Quranic/Vocational||4 (23.5)||13 (76.5)|
|Household monthly income|
|<N5,000||9 (32.1)||19 (67.9)|
|N5,100-N10,000||36 (37.9)||59 (62.1)||χ2 = 23.8|
|N10,000-N25,000||44 (32.1)||93 (67.9)||P <0.0001|
|>N25,000||94 (58.0)||68 (42.0)|
|Willingness to enroll in health insurance||N=239|
|Male||62 (59.6)||42 (40.4)||χ2 = 0.04|
|Female||41 (56.9)||31 (43.1)||P = 0.84|
|<20||1 (100.0)||0 (0.0)|
|21-30||16 (53.3)||14 (46.7)||χ2= 1.78|
|31-40||39 (60.9)||25 (39.1)||P = 0.78|
|41-50||16 (59.3)||11 (40.7)|
|51-60||8 (53.3)||7 (46.7)|
|61and over||4 (40.0)||6 (60.0)|
|Primary||1 (33.3||2 (66.7)|
|Secondary||18 (27.7)||47 (72.3)||χ2 = 53.09|
|Post-secondary||84 (80.8)||20 (19.2)||P <0.0001|
|Quranic/Vocational||0 (0.0)||4 (100.0)|
|Household monthly income|
|<N5,000||1 (20.0)||4 (80.0)|
|N5,100-N10,000||6 (16.7)||30 (83.3)||χ2 = 42.23|
|N10,000-N25,000||25 (58.1)||18 (41.9)||P <0.0001|
|>N25,000||17 (77.2)||21 (22.8)|
Table 5:Socio-economic correlates of respondents’ awareness of and willingness to enrol in health insurance.
Except for the sex of the respondents, there was no statistically significant association between the ages, educational levels or monthly household incomes of the respondents and decision to treat oneself at home before seeking treatment outside. Women tended not to treat themselves at home prior to seeking care [Table 6].
|Home treatment before seeking healthcare|
|<20||2 (33.3)||4 (66.7)|
|21-30||47 (66.2)||24 (33.8)||χ2 = 8.29|
|31-40||110 (68.3)||51 (31.7)||P = 0.08|
|41-50||61 (73.5)||22 (26.5)|
|51-60||50 (83.3)||10 (16.7)|
|61and over||32 (78.0)||9 (22.0)|
|Male||204 (77.0)||61 (23.0)||χ2 = 10.2|
|Female||98 (62.4)||59 (37.6)||P = 0.001|
|Primary||15 (75.0)||5 (25.0)|
|Secondary||162 (69.5)||71 (30.5)||χ2 = 1.9|
|Post-secondary||114 (75.0)||38 (25.0)||P = 0.6|
|Quranic/Vocational||11 (64.7)||6 (35.3)|
|Household monthly income|
|<N5,000||17 (58.6)||12 (41.4)|
|N5,100-N10,000||60 (62.5)||36 (37.5)||χ2 = 7.03|
|N10,000-N25,000||105 (76.1)||33 (23.9)||P = 0.07|
|>N25,000||114 (71.7)||45 (28.3)|
Table 6:Socio-economic correlates of home treatment.
Low level of awareness of health insurance still exists in this community despite the efforts of government to ensure wider coverage.  This study did not establish the time sequence between knowledge of, and enrollment into a health insurance scheme. It is quite possible that, given the fact that 69.5% of those enrolled had their premiums paid by either government or the company; enrollment in the scheme probably informed the knowledge that respondents had.
Findings from this study confirmed that those with lower monthly household incomes have a pattern of engaging more in pre-facility home treatment before seeking healthcare. Financial access to health services has been reported as contributing to the pattern of utilization with documented evidence of reduced access by people with lower household incomes and those who face high care-seeking costs. [20,21] This arrangement is not just predicated on the amount of the household income, but more importantly on the juxtaposed indices of poverty which include nutritional status, adequacy of the home environment, water and sanitation, environmental exposure to toxic substances, limitations of knowledge about health-seeking behaviour, and the direct effect of low social status on physiological stress and psychosocial wellbeing. 
Payment for health services were largely from personal resources, which has been reported in other parts of the country and associated with disparate differences in ability to cope among different socioeconomic strata. [22-24] The wide range of expenditures reported in this study indicates the high proportion of household income that is spent accessing health services. Past research has demonstrated how in lower income households, this can constitute catastrophic health expenditure. [25-27] However, the actual proportion of household income that medical or hospital expenditure constituted was not examined in this study. Though not statistically significant, there were a greater proportion of respondents with lower monthly household incomes who reported treating themselves at home before seeking treatment at a health facility. The study documented the proportion of respondents for whom reasons for self-medication before going to hospital were perceptions that the illness was not serious or that self-medication was cheaper. This practice has been well documented among different groups of patients for similar reasons of illnesses not being serious and cheaper over-the-counter drugs. [28-30] Use of complementary/alternative medications has been documented in urban settings often without the knowledge of orthodox health practitioners and this study documented that half the respondents admitted using native medication. This practice has implications for health outcomes, indicating the poor understanding of community residents for the potential for drug-herb interactions with patients. [31,32]
Implementation of national health insurance schemes have been documented to result in massive reductions in OOP.  Research has also documented that uptake of health services earlier in the disease process ensures better outcomes. [15,34] Factors that have been shown to influence the probability of having insurance are higher income and education levels, being married, employed, and support from the head of the household. [19,35-37]
People living in the lower socioeconomic classes and the less educated are much less likely to buy their own health insurance, with negative impact on the eventual health outcomes and cost to society. [38,39] Programmes encouraging the voluntary purchase of health insurance need to be carefully structured to avoid widening the coverage gap between disadvantaged groups in communities. [39,40] This study suggests that there are novel opportunities to encourage the uptake of health insurance for young adults and those in low- and middle-income households. [41-44] Though by no means a complete solution, replacing user fees and OOP with more sustainable and equitable financing methods will be an effective first step towards improving access to healthcare services and achieving the millennium development goals for health. [45,46]
This study is limited by the discordance between the estimated monthly household incomes and asset ownership which can be linked to the community residents expressed deep-seated loss of faith in the government statements; viewing the exercise as a way of imposing another levy/tax on the citizens. The ability to categorize respondents into income groups is therefore uncertain with regard to linking respondents to their reported expenditures on health services.
Furthermore, this study did not initially set out to assess the details of insurance coverage of the respondents, where or when the respondents were exposed to advertising of health insurance.
Further research is needed to relate decisions to use different mechanisms of payment for health service with availability of health insurance whether public or private.
Conclusion and Recommendation
Despite the length of time that NHIS has been in existence, awareness of health insurance was insufficient. Majority of respondents enrolled in health insurance schemes were likely enrolled by virtue of their employment rather than knowledge of the scheme. Patterns of health service utilization were associated with fever, headaches, joint and back pains. Those in lower income brackets engaged more in home treatment before going to health facilities. Hospital costs were mostly met by OOP. The authors recommend that authorities take the opportunity of encouraging the uptake of health insurance for young adults and those in low- and middle-income households using new emerging pooled funds schemes.
Future research needs to examine the proportion of household income that is spent on medical and health care. Other research needs to look into the emerging pooled funds schemes and their referral links to service delivery points.
The authors acknowledge the staff of all the primary health clinics in Mushin local government area for their kind assistance during data collection.
BCA and AAR – participated in the design, analysis and interpretation of the study
AAR – drafted the manuscript for relevant intellectual content
AAR, BCA and AAO – participated in the critical review of the manuscript. All authors read and approved the final manuscript
Conflict of Interest
BCA and AAR – participated in the design, analysis and interpretation of the study
AAR – drafted the manuscript for relevant intellectual content
AAR, BCA and AAO – participated in the critical review of the manuscript. All authors read and approved the final manuscript
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