Variable |
Demography |
Frequency (n) |
Percentage (%) |
Age |
Below 21 21-30 31-40 41-50 51-60 |
18 89 102 48 13 |
6.7 33.0 37.8 17.7 4.8 |
Gender |
Male Female |
123 147 |
45.6 54.4 |
Marital status |
Married Divorced Single Widowed |
189 4 73 4 |
70.0 1.5 27.0 1.5 |
Highest Educational Qualification |
WAEC/GCE/NECO OND/NCE HND/BSc MSc/Equivalent Others |
30 56 154 14 13 |
11.2 21.0 57.7 5.2 4.9 |
Ethnicity |
Nupe Hausa Igbo Yoruba Others |
135 14 28 51 42 |
50.0 5.2 10.4 18.9 15.5 |
Household size |
2 persons and below 3-4 members 5-6 members 7 and above |
69 89 62 31 |
27.5 35.5 24.7 12.3 |
Job description |
Medical personnel Non-medical personnel |
207 63 |
76.7 23.3 |
Years of employment |
3 years or less 4-6 years 7-9 years 10 and above |
109 54 41 62 |
41.0 20.3 15.4 23.3 |
Income level |
Less than 30,000 30-80,000 80-140,000 140,000 and above |
40 80 63 83 |
15.0 30.1 23.7 31.2 |
Factors affecting access and utilization of NHIS services among employees
Table 6 presents the summary influence of socio-demographic variables on the utilization of NHIS services. This shows that among the respondents who have accessed the services since enrolment, 32.6% were between the ages of 31-40 years, followed by those between 21-30 years (19.3%). Among female enrollees, only 46.7% have accessed care compared to 31.5% among males. A little above half of the respondents who have accessed NHIS services (57.8%) were medical personnel.
Table 2: Respondents level of awareness about NHIS N=270
Variables |
Frequency (n) |
Percentage (%) |
Heard about NHIS Yes |
270 |
100.0 |
Source of information Media (Radio, Television, Internet etc.) Circular issued by the institution Seminars/workshops Colleagues at work Others |
89 88 34 57 2 |
33.0 32.6 12.6 21.1 0.7 |
Table 7 shows that most of the respondents (67.0%), identified out-of-stock syndrome for most drugs as a challenge while accessing the services, followed by provision of poor quality medicines and services (28.5%), and delay/non-issuance of registration cards (20.7%). Delay/denial of healthcare service was the least identified challenge (5.2%).
Discussion
This study was carried out to investigate the extent of awareness and attitude of enrollees toward the provision and utilization of the NHIS services at the Federal Medical Center north central Nigeria. This is informed by the fact that consumers’ use of services is influenced by adequate and appropriate knowledge of the services, availability and acceptability of the services, to inform their decisions to use such services. Study findings suggest that all the study participants were aware of NHIS, mostly through media and hospital/office circular. This is consistent with the findings by Ekwuluo et al [16]; Olalekan[17]; and Okaro[18] which identified media and circular issued by the institution as the major sources of information. This is not surprising considering that the participants work in hospital enlightened environment as well as their level of education. However, there were discrepancies in detailed knowledge about the scheme’s objectives and guiding principles. Findings from a study by Ilochonwu and Adedigba[19] revealed moderate knowledge. Results of two studies by Ndie[20]and Ekwuluo et al [16] were consistent with the findings of this study which showed that the respondents do not know much about NHIS guiding principles. This suggests the need for adequate knowledge about the scheme which should be reinforced through seminars and workshops. The study found that a greater percentage of the respondents are registered with the scheme as required for federal civil servants for which the scheme was initially established.
The study also found that the participants demonstrated positive attitude towards the scheme similar to the findings of a study by Ilochonwu and Adedigba[19] but inconsistent with the mixed feelings documented in the study by Olalekan[17]. The participants’ positive perception towards the scheme will likely contribute to improved service utilization and sustainability of the scheme.
Table 3: Respondents’ knowledge about NHIS
Variables |
Responses |
n |
% |
Meaning of NHIS |
National Health Insurance Scheme |
247 |
91.5 |
Year established in Nigeria |
2005 |
59 |
24.4 |
Objectives of NHIS |
Ensure access Protect families Ensure equitable distribution Ensure efficiency Ensure availability All objectives |
110 241 139 105 105 64 |
15.7 34.4 19.9 15 15 24.5 |
Percentage currently covered |
<5% |
37 |
14.5 |
Programmes in NHIS |
FSSHIP NMHIP VCSHIP TISHIP CBSHIP PPPSHIP Vulnerable groups All of the above |
77 43 30 53 65 21 90 80 |
15.2 8.5 6.0 10.5 12.9 4.2 17.9 15.9 |
There is a law that mandates every employee to register with NHIS |
Yes |
141 |
56.0 |
Percentage contribution of one’s salary to the scheme |
5% |
44 |
18.4 |
Percentage contribution by the employer |
10% |
49 |
19.9 |
Percentage of co-payment one make at the point of service |
10% |
124 |
51.9 |
Biological dependants expected to register under a member of NHIS |
Spouse+4 biological children below the age of 18 |
209 |
80.4 |
What beneficiary with children above 18 years is expected to do |
Undertake extra contribution |
88 |
37.6 |
Services covered by NHIS |
Outpatient care Prescribed drugs ,pharmaceutical care and diagnosis Maternity care for up to four(4) live births Preventive care Consultation with specialists Eye examination and care excluding spectacles and lenses A range of prosthesis produced in Nigeria Preventive dental care and pain relief |
171 216 159 196 151 104 31 63 |
15.7 19.8 14.6 18.0 13.8 9.5 2.8 5.8 |
FSSHIP=Former Sector Social Health Insurance Programme; NMHIP= National Mobile Health Insurance Programme; VCSHIP = Vital Contributors Social Health Insurance Programme; TISHIP = Tertiary Institution Social Health Insurance Programme; CBSHIP = Community Based Social Health Insurance Programme; PPPSHIP = Public Private Partnership Social Health Insurance Programme; Vulnerable groups (pregnant women, children under 5, prison inmates, retirees, and aged) (NHIS)
Table 4: Perception of employees towards the NHIS
Perception Statements |
SA(5) n(%) |
A(4) n(%) |
UD(3) n(%) |
D(2) n(%) |
SD(1) n (%) |
Mean±SD |
I am satisfied with the services I have received in the NHIS |
32(6.5) |
93(18.8) |
17(3.4) |
57(11.5) |
14(2.8) |
3.34±1.209 |
The scheme is worth the contribution I and my employer are making |
21(4.3) |
96(19.4) |
37(7.5) |
38(7.7) |
14(2.8) |
3.35±1.102 |
I prefer the NHIS to Out -of -Pocket system |
72(14.6) |
86(17.4) |
22(4.5) |
16(3.2) |
10(2.0) |
3.94±1.098 |
NHIS is a waste of time and money, so should be stopped |
5(1.0) |
5(1.0) |
14(2.8) |
85(17.2) |
10.3(20.9) |
1.70±0.870 |
NHIS Patients are treated better than out-of-pocket paying patients |
12(2.4) |
38(7.7) |
38(7.7) |
79(16.0) |
47(9.5) |
2.48±1.178 |
The problems of NHIS services are essentially administrative (Customer care) |
40(8.1) |
74(15.0) |
38(7.7) |
33(6.7) |
11(2.2) |
3.51±1.157 |
Lengthy client verification time |
38(7.7) |
72(14.6) |
35(7.1) |
36(7.3) |
6(1.2) |
3.53±1.113 |
Folder retrieval/management |
30(6.1) |
65(13.2) |
33(6.7) |
48(9.7) |
11(2.2) |
3.29±1.184 |
Referral management |
28(5.7) |
76(15.4) |
30(6.1) |
40(8.1) |
6(1.2) |
3.44±1.100 |
Handling co-payments |
26(5.3) |
60(12.1) |
50(10.1) |
30(6.1) |
10(2.0) |
3.35±1.101 |
Waiting time/delays |
37(7.5) |
86(17.4) |
20(4.0) |
32(6.5) |
14(.8) |
3.53±1.196 |
The problems of NHIS services are mainly non-administrative (Few attending medical staff) |
39(7.9) |
53(10.7) |
31(6.3) |
43(8.7) |
22(4.5) |
3.23±1.328 |
Drug non-availability/out-of-stock |
112(22.7) |
88(17.8) |
5(1.0) |
2(0.4) |
3(0.6) |
4.45±0.725 |
Poor attention by clinical staff |
23(4.7) |
38(7.7) |
24(4.9) |
71(14.4) |
30(6.1) |
2.75±1.293 |
Poor hospital and laboratory equipment |
29(5.9) |
53(10.7) |
23(4.7) |
61(12.3) |
15(3.0) |
3.11±1.264 |
The NHIS has narrow benefit packages ( services covered are small) |
42(8.5) |
69(14.0) |
27(5.5) |
54(10.9) |
16(3.2) |
3.32±1.269 |
I would prefer an increase in my contribution to allow inclusion of other excluded services |
26(5.3) |
45(9.1) |
24(4.9) |
45(9.1) |
64(13.0) |
2.63±1.441 |
The low mean score recorded for scrapping the NHIS as a wasteful venture underscores respondents’ strong positive perception towards the scheme as a useful health financing and provision mechanism. However, this does not translate to respondents’ support for increase in their contribution to allow for inclusion of excluded services due to perceived narrow benefit packages. This may be attributed to poor knowledge about the benefits of the scheme. The study suggests that many factors affect effective utilization of the services such as poor patient care, long verification time, administrative laxities, poor referral management, long waiting time/delays, out-of-stock, and poor hospital or laboratory equipment were the administrative and non-administrative problems reported by the respondents. Resolving these problems will encourage and improve utilization of the NHIS services in the facility.
Table 5: Level of utilization of NHIS: N=270
Variables |
Response |
Freq. (n) |
Percentage (%) |
Registered with NHIS |
Yes No |
220 50 |
81.5 18.5 |
Dependants registered with NHIS |
Yes No |
187 83 |
69.3 30.7 |
Accessed health care from your provider under NHIS |
Yes No |
211 59 |
78.1 21.9 |
Dependants accessed health care services from the providers under NHIS |
Yes No |
169 97 |
63.5 36.5 |
If yes, how often? |
Rarely Always Sometimes Not at all |
37 47 120 2 |
18.0 22.8 58.3 1.0 |
Satisfaction with services rendered |
Yes No |
124 79 |
61.1 38.9 |
Reasons for dependants not accessing NHIS health care services |
Dependants not with me No need yet Not yet enrolled Poor services |
10 3 83 1 |
10.3 3.1 85.6 1.0 |
Although in this study, a greater proportion of the beneficiaries and their dependants have accessed care under the scheme, the frequency of utilization appears very poor as only 22.8% reported to have regularly utilized the services in the facility. This is consistent with the studies in Nigeria by Inegbedion[21] and Ekwuluo et al [16] which reported similar findings. Poor utilization of the NHIS services by participants can be attributed to the challenges encountered at the point of care, in addition to inadequate knowledge of the scheme. Out-of-stock syndrome for most drugs, provision of low quality drugs and services, delay/non-issuance of registration cards and increase in OOP payments were challenges reported in this study that constrain access to care.
More so, these challenges and socio-demographic variables such as age, gender, marital status, sex, and occupation showed significant association with access and utilization of NHIS services which corresponds to findings of Inegbedion[21]. However, to improve access and utilization of the NHIS service, the participants suggested enhanced awareness, provision of prescribed quality medicines and services, improved registration process, among others. The utilization of the NHIS services and enrolment will improve greatly when issues surrounding registration and service delivery are given maximum attention.
Table 6: Influence of socio-demographic status on access to services
Variables |
Have you accessed healthcare from your providers under NHIS |
||
Yes (%) |
No (%) |
X (p-value) |
|
Age Below 21 21 – 30 31 – 40 41 – 50 51 –60 |
14(5.2) 52(19.3) 88(32.6) 45(16.7) 12(4.4) |
4(1.5) 36(13.3) 14(5.20 3(1.1) 1(0.4) |
35.887(0.003)* |
Gender Female Male |
126(46.7) 85(31.5) |
21(7.8) 37(13.7) |
18.001(0.001)* |
Marital Married Divorced Single Widowed |
166(61.5) 2(0.7) 39(14.4) 4(1.5) |
23(8.5) 2(0.7) 33(12.2) - |
41.730(0.000)* |
Ethnicity Nupe Hausa Igbo Yoruba Others |
103(38.1) 31(11.5) 19(7.0) 42(15.6) 34(12.6) |
31(11.5) 1(0.4) 9(3.3) 9(3.3) 8(3.0) |
9.527(0.890) |
Income level less than 30,000 30-80,000 80-140,000 140,000 & above |
29(10.7) 60(22.2) 51(18.9) 66(24.4) |
11(4.1) 19(7.0) 11(4.1) 17(6.3) |
10.243(0.595) |
Job description Medical personnel Non-medical personnel |
156(57.8) 55(20.4) |
51(18.9) 7(2.6) |
18.001(0.001)* |
Highest educational qualification WAEC/GCE/NECO OND/NCE HND/BSc MSc/MBA/equivalent Others |
23(8.6) 45(16.9) 123(46.1) 12(4.5) 7(2.6) |
7(2.6) 10(3.7) 31(11.6) 2(0.7) 6(2.2) |
19.591(0.239) |
*Statistical significance at P<0.05
Table 7: Factors affecting utilization of the NHIS services (N=211)
Variables |
Rarely n(%) |
Always n(%) |
Sometimes n(%) |
Not at all n (%) |
X(p-value) |
Delay/ non-issuance of registration cards Delay/ denial of healthcare services Out-of-stock syndrome for most drugs Provision of cheap drugs and services Increase in out-of-pocket payment |
10(2.0) 3(0.6) 23(4.7) 0 1(0.2) |
10(2.0) 0 30(6.1) 2(0.4) 4(0.8) |
35(7.1) 1(0.2) 76(15.4) 4(0.8) 0 |
0 0 1(0.2) 0 0 |
38.4(0.001)* |
Study limitations
Although the study was limited to data from one center, due to limited financial resources and time constraints, findings were similar to those of related studies in Nigeria. Moreover, such data is also not available in Niger state, for relevant comparison.
Study suggest that while employees of the Federal Medical Center enrolled with the NHIS are significantly aware of the scheme operation; this does not translate to positive utilization mainly due to inadequate knowledge of the guiding principles in addition to challenges that limit access to care in the facility. Enrollees identified out-of-stock syndrome for most medicines, poor and inadequate provision of health services and increased OOP payments as the major causes of poor utilization. There is need for improved efforts at providing adequate and appropriate information on the operation of the NHIS services while adequately addressing identified challenges. Effective monitoring and regulation of service delivery among NHIS accredited centers should be applied to address identified administrative and non-administrative problems in the facilities to ensure delivery of quality services.
Funding: Authors received no external funding
Authors’ contribution
UCC: Participated in study design, data collection and analysis
CCE: Participated in the study design, data analysis and manuscript draft.
All authors read and approved final manuscript
Acknowledgement
Authors hereby appreciate the efforts of the support of staff of relevant units of the health facility (FMC Bida) in the collection of data from their respective units in spite of busy hours.
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