Table 1: Descriptive Statistics, showing the willingness of patients to pay for HIV care through the health insurance scheme in Nasarawa State.
Table 2
Value
df
Asymptotic Significance (2-tailed)
Pearson Chi-Square
305.88a
20
.000
Likelihood Ratio
384.61
20
.000
N of Valid Cases
269
Table 2: Chi-Square statistics showing the relationship between the willingness to pay premium and monthly medication expenses of patients as it relates to their perception of the health insurance scheme in Nasarawa State.
Table 2 reveals a significant association between willingness to pay and acceptance of the social health insurance scheme among the study population (x2 =305.88, df = 20, p < .001).
Table 3
Value
df
Asymptotic Significance (2-tailed)
Pearson Chi-Square
312.560a
20
.000
Likelihood Ratio
389.2
20
.000
N of Valid Cases
269
Table 3: Summary of Chi-Square statistics, showing the association between the willingness to pay and factors influencing willingness to pay for HIV care services in Nasarawa State.
The results in Table 3 indicate a strong association between WTP and factors such as; affordability of the service, availability of healthcare facilities, trust in the health insurance system, quality of care, and the range of services covered (x2 =312.56, df = 20, p < .001).
Table 4
Perspectives
Frequency (n)
Percentage
Affordable
84
52.18
Neutral
28
17.39
Somewhat Unaffordable
20
12.42
Very Affordable
20
12.42
Very Unaffordable
9
5.59
Total
161
100
Table 4: Can you Afford to Pay N12,000 Per Year as the Basic Minimum Package for Health, Which Includes HIV Care and Services?
Table 4 shows that most of the study participants (64.6%) believe that an annual premium of N12,000 is affordable for their basic healthcare coverage.
Table 5
Responses
Frequency (n)
Percentage
No
48
29.81
Yes
113
70.19
Total
161
100
Table 5: Have you ever faced financial difficulties in accessing HIV care services?
Table 6
Value
df
Asymptotic Significance (2-tailed)
Pearson Chi-Square
278.611a
10
.000
Likelihood Ratio
370.676
10
.000
N of Valid Cases
269
Table 6: Summary of Chi-Square showing the relationship between the affordability of the basic health package and the experience of financial difficulties in accessing HIV care services.
Table 7
Willingness
Persons (n)
Percentage (%)
Willing
92
94.85
Indifferent
4
4.12
Unwilling
1
1.03
Total
97
100
Table 7: Descriptive Statistics, showing the willingness of HCWs to participate in the care and treatment of PLHIV
Table 8
Factors
Frequency
Percent
Adequate resources and equipment
7
2.6
Adequate resources and equipment, Supportive work environment, Incentives
1
0.4
Incentives
1
0.4
Supportive work environment
11
4.1
Supportive work environment, Incentives, Time availability
1
0.4
Training and Education
40
14.9
Training and Education, Adequate resources and equipment
2
0.7
Training and Education, Adequate resources and equipment, Incentives
1
0.4
Training and Education, Adequate resources and equipment, Supportive work environment
6
2.2
Training and Education, Adequate resources and equipment, Supportive work environment, Incentives
5
1.9
Training and Education, Adequate resources and equipment, Supportive work environment, Incentives, Time availability
16
5.9
Training and Education, Adequate resources and equipment, Supportive work environment, Incentives, Time availability
1
0.4
Training and Education, Adequate resources and equipment, Supportive work environment, Time availability
1
0.4
Training and Education, Adequate resources and equipment, Time availability
1
0.4
Training and Education, Supportive work environment, Incentives
1
0.4
Training and Education, Supportive work environment, Time availability
2
0.7
Table 8: Summary of Descriptive Statistics Showing the Results of Factors Influencing the Willingness of Hcws
The results in Table 8 showed that training and education (78.35%) are the most significant elements that impacts HCWs’ willingness to work with PLHIVs. Other significant factors included adequate resources and equipment (42.27%), a supportive work environment (46.39%), and incentives (27.84%). Responses showed that a combination of these factors significantly impacts HCWs’ readiness to participate, highlighting the multifaceted nature of their motivations.
Table 9
Value
df
Asymptotic Significance (2-tailed)
Pearson Chi-Square
278.611a
10
0
Likelihood Ratio
370.676
10
0
N of Valid Cases
269
Years of Experience
Pearson Chi-Square
278.8a
16
0
Likelihood Ratio
356.78
16
0
No of Valid Cases
269
Table 9: Summary of Chi-Square showing the association(s) between HCWs’ professional characteristics and their willingness to participate
Table 10
Factors
Frequency
Percent
Challenges
Availability and/or quality of drugs
35
36.08
Training-related concerns
72
74.23
Increased interruptions in treatments
32
33
Sustainability of Healthcare Financing
44
45.36
Others (death of patients, increased treatment failures, issues with test-kits, stigmatization, and subsidizing)
7
7.23
Solutions
Subsidization or full financial Supports
11
11.34
Availability of drugs
19
19.59
Training, Workshops, and Awareness creation
52
53.61
Staff (HCWs) Welfare
2
2.06
Stakeholders Collaboration: Government, HCWs, and Patients
8
8.25
Increase/Improve Infrastructure
4
4.12
Table 10: Summary of descriptive statistical analysis showing the challenges and potential solutions to the implementation and sustainability HIV care integration
Tables at a glance