Table 3.
Factors influencing "Clients Satisfaction" (logistic regression)
| Variables | Description and coding parameter (1) | β | S.E. | P-value | Exp(B) | ( 95% CI ) | |
|---|---|---|---|---|---|---|---|
| (Constant) | -4.754 | 1.416 | .001 | .009 | |||
| Sex | Male = 1, Female = 0 | .139 | .414 | .737 | 1.149 | .511 | 2.587 |
| Age | Age in years | .015 | .030 | .610 | 1.015 | .958 | 1.076 |
| Staff duration | Staff duration of service in years | .042 | .025 | .091 | 1.043 | .993 | 1.096 |
| Religion | Muslim = 1, Christian = 0 | -.520 | .425 | .221 | .594 | .258 | 1.368 |
| Ethnic group | Hausa = 1, Others = 0 | .414 | .404 | .306 | 1.513 | .685 | 3.342 |
| Residence | Inside city = 1, Outside city = 0 | -.046 | .340 | .893 | .955 | .490 | 1.860 |
| Educational level: | Tertiary = 1, Below Tertiary = 0 | -.191 | .475 | .687 | .826 | .326 | 2.095 |
| Occupation status: | Senior staff = 1, Junior staff = 0 | .255 | .433 | .556 | 1.291 | .552 | 3.019 |
| Salary income ($) | Monthly salary income in US ($) equiv. | .000 | .001 | .071 | .999 | .998 | 1.000 |
| Marital status: Polygamy Vs others | Polygamy = 1, Others = 0 | 2.735 | 1.188 | .021 | 15.415 | 1.502 | 158.173 |
| Monogamy Vs others | Monogamy = 1, Others = 0 | 2.258 | 1.117 | .043 | 9.562 | 1.071 | 85.393 |
| No. of children | > 4 children = 1, < = 4 children = 0 | -.302 | .374 | .419 | .739 | .355 | 1.539 |
| Hospital Visit in the past 1 month | Had Visit = 1, No Visit = 0 | .561 | .323 | .083 | 1.752 | .930 | 3.299 |
| Length of enrolment (yrs) | > = 2 years = 1, < 2 years = 0 | .516 | .314 | .100 | 1.676 | .905 | 3.102 |
| General knowledge on insurance | More knowledge = 1, less knowledge = 0 | 2.010 | .326 | .000 | 7.465 | 3.944 | 14.130 |
| Awareness on money contribution | More aware = 1, less aware = 0 | .720 | .341 | .035 | 2.055 | 1.054 | 4.007 |
| n | 280 | ||||||
| Nagelkerke R2 | .417 | ||||||
| -2 log likelihood | 277.188a | ||||||
| Cox & Snell R2 | .310 | ||||||
Model test: LR χ2(16) = 104.031, p < 0.001