| Literature DB >> 27530687 |
B I I Saeed1, A E Yawson2, S Nguah3, Peter Agyei-Baffour4, Nakua Emmanuel4, Edmund Ayesu5.
Abstract
BACKGROUND: The older adult population is increasing all over the world. In sub-Saharan Africa, due to poverty and low policy coverage, older adults are not well catered for. The effect of socio-economic inequality in the use of healthcare services among older adult men and women in Ghana was investigated in this paper.Entities:
Keywords: Generalized logit; Ghana; Healthcare utilization; Socio-economic inequities
Mesh:
Year: 2016 PMID: 27530687 PMCID: PMC4987977 DOI: 10.1186/s12913-016-1661-6
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Healthcare Utilization by basic demographic and socioeconomic characteristic, SAGE Wave 1, Ghana
| Variable | Total | Percentage |
|---|---|---|
| Healthcare facility | ||
| Private | 569 | 10.21 |
| Public | 2474 | 44.39 |
| Traditional | 123 | 2.21 |
| Charity | 202 | 3.62 |
| Pharmacy | 713 | 12.79 |
| No use of health services in previous 3 years | 1492 | 26.77 |
| Education | ||
| None | 2806 | 50.35 |
| Primary | 1291 | 23.17 |
| Secondary | 1287 | 23.09 |
| Tertiary | 189 | 3.39 |
| Gender | ||
| Male | 2824 | 50.67 |
| Female | 2749 | 49.33 |
| Insurance | ||
| No | 3544 | 63.59 |
| Yes | 2029 | 36.41 |
| Age category | ||
| Adult | 2722 | 48.84 |
| Elderly | 2851 | 51.16 |
| Employment | ||
| Public | 469 | 8.42 |
| Private | 207 | 3.71 |
| Self-employed | 4549 | 81.63 |
| Informal employment | 348 | 6.24 |
| Health status | ||
| Very good | 374 | 6.71 |
| Good | 2150 | 38.58 |
| Moderate | 2156 | 38.69 |
| Bad | 730 | 13.10 |
| Very Bad | 163 | 2.92 |
| aIncome | ||
| Quintile1 | 1081 | 19.40 |
| Quintile2 | 1100 | 19.74 |
| Quintile3 | 1104 | 19.81 |
| Quintile4 | 1127 | 20.22 |
| Quintile5 | 1161 | 20.83 |
aIncome Quintile5 indicates the highest income and Quintile1 indicates the lowest income respectively
Healthcare Utilization by location of older adults, SAGE Wave 1, Ghana
| Health facility | Urban (%) | Rural (%) |
|---|---|---|
| Private | 312 (13.68) | 257 (7.81) |
| Public | 1063 (46.60) | 1411 (42.89) |
| Traditional | 42 (1.84) | 81 (2.46) |
| Charity | 77 (3.38) | 125 (3.80) |
| Pharmacy | 232 (10.17) | 481 (14.62) |
| No use of health services in previous 3 years | 555 (24.33) | 935 (28.42) |
| Total | 2281 (100) | 3290 (100) |
Healthcare Utilization by socioeconomic indicators among men (Age –adjusted (except age category) odds ratios (OR) from multinomial logistic regression and their standard errors (SE)), SAGE Wave 1, Ghana
| Variables | Private | Charity | Traditional | Pharmacy | Others | (Se) |
|---|---|---|---|---|---|---|
| Age category | ||||||
| 50–60 | 1 | 1 | 1 | 1 | 1 | |
| 60 and more | 1.097 (0.163) | 1.058 (0.266) | 1.199 (0.359) | 0.665c (0.151) | 0.800a (0.126) | |
| Income | ||||||
| Quintile1 | 1 | 1 | 1 | 1 | 1 | |
| Quintile2 | 2.205b (0.354) | 0.731 (0.532) | 1.133 (0.606) | 1.124 (0.260) | 0.946 (0.213) | |
| Quintile3 | 2.622c (0.317) | 1.200 (0.454) | 1.725b (0.412) | 0.946 (0.261) | 0.888 (0.237) | |
| Quintile4 | 2.232c (0.303) | 0.912 (0.381) | 0.898 (0.395) | 0.627a (0.265) | 0.735 (0.223) | |
| Quintile5 | 4.604c (0.296) | 0.426a (0.478) | 0.237b (0.614) | 0.369b (0.269) | 0701 (0.231) | |
| Education | ||||||
| Not educated | 1 | 1 | 1 | 1 | 1 | |
| Primary | 1.276 (0.224) | 0.709 (0.489) | 0.899 (0.344) | 0.787 (0.189) | 0.801 (0.174) | |
| Secondary | 2.075c (0.236) | 1.742 (0.368) | 0.925 (0.387) | 1.105 (0.186) | 1.033 (0.160) | |
| Tertiary | 1.909a (0.396) | 1.870 (0.694) | 0.549 (0.747) | 0.371b (0.454) | 0.387c (0.333) | |
| Insurance | ||||||
| No | 1 | 1 | 1 | 1 | 1 | |
| Yes | 0.856 (0.192) | 2.602c (0.314) | 0.445c (0.302) | 0.397c (0.184) | 0.568c (0.129) | |
| Employment | ||||||
| Public | 1 | 1 | 1 | 1 | 1 | |
| Private | 1.837a (0.364) | 0.858 (0.629) | 0.986 (0.897) | 1.621 (0.314) | 1.348 (0.338)) | |
| Self-employed | 1.502 (0.265) | 0.978 (0.417) | 2.502a (0.484) | 2.521c (0.251) | 2.306c (0.188) | |
| Informal | 0.831 (0.540) | 2.776a (0.558) | 1.608 (0.749) | 2.232b (0.376) | 2.032c (0.271) | |
| Health status | ||||||
| Very good | 1 | 1 | 1 | 1 | ||
| Good | 1.461 (0.435) | 0.806 (0.701) | 0.437 (0.636) | 0.284c (0.268) | 0.833 (0.281) | |
| Moderate | 1.318 (0.423) | 0.972 (0.699) | 0.552 (0.665) | 0.242c (0.285) | 0.570b (0.271) | |
| Bad | 0.909 (0.488) | 2.149 (0.715) | 0.913 (0.753) | 0.376c (0.307) | 0.383c (0.332) | |
| Very bad | 0.869 (0.899) | 2.921 (0.956) | 0.322 (1.186) | 0.203c (0.611) | 0.918 (0.483) | |
a, b and c indicates 1, 5 and 10 % significance level respectively
Healthcare Utilization by socioeconomic indicators among women (Age –adjusted (except age category) odds ratios (OR) from multinomial logistic regression and their standard errors (SE)), SAGE Wave 1, Ghana
| Variables | Private | Charity | Traditional | Pharmacy | Others |
|---|---|---|---|---|---|
| Age category | |||||
| 50–60 | 1 | 1 | 1 | 1 | 1 |
| 60 and more | 1.123 (0.189) | 1.455a (0.222) | 1.800 (0.557) | 1.021 (0.160) | 0.755b (0.118) |
| Income | |||||
| Quintile1 | 1 | 1 | 1 | 1 | 1 |
| Quintile2 | 1.260 (0.280) | 1.611 (0.337) | 0.448a (0.460) | 0.798 (0.217) | 0.915 (0.173) |
| Quintile3 | 0.940 (0.264) | 1.302a (0.331) | 0.839 (0.527) | 0.389c (0.247) | 0.661b (0.172) |
| Quintile4 | 1.437 (0.279) | 0.798 (0.446) | 0.268b (0.548) | 0.355c (0.256) | 0.578c (0.184) |
| Quintile5 | 2.094c (0.248) | 1.883 (0.412) | 0.339c (1.046) | 0.339c (0.287) | 0.667b (0.189) |
| Education | |||||
| Not educated | 1 | 1 | 1 | 1 | 1 |
| Primary | 1.520b (0.210) | 1.045 (0.289) | 0.854 (0.396) | 0.800 (0.207) | 0.699b (0.162) |
| Secondary | 1.351 (0.222) | 1.219 (0.339) | 0.793 (1.044) | 0.412c (0.253) | 0.663b (0.178) |
| Tertiary | 1.639 (0.530) | 2.231 (0.657) | 3.171c (0.313) | 0.491 (0.831) | 1.174 (0.475) |
| Insurance | |||||
| No | 1 | 1 | 1 | 1 | 1 |
| Yes | 0.787 (0.180) | 2.213c (0.237) | 0.433b (0.411) | 0.268c (0.188) | 0.653c (0.123) |
| Employment | |||||
| Public | 1 | 1 | 1 | 1 | 1 |
| Private | 1.133 (0.635) | 0.759 (0.721) | 1.039 (0.332) | 3.115 (0.699) | 0.584 (0.762) |
| Self-employed | 0.918 (0.343) | 0.622 (0.355) | 199884.8c (0.288) | 3.318b (0.575) | 3.103b (0.387) |
| Informal | 0.521 (0.500) | 1.139 (0.457) | 1391009.1c (0.560) | 2.256 (0.635) | 1.199 (0.477) |
| Health status | |||||
| Very good | 1 | 1 | 1 | 1 | 1 |
| Good | 2.316 (0.611) | 1.001 (1.050) | 0.064 (0.861) | 0.764 (0.461) | 0.614 (0.405) |
| Moderate | 1.845 (0.615) | 1.554 (1.045) | 0.082c (0.804) | 0.532 (0.451) | 0.381b (0.387) |
| Bad | 2.228 (0.665) | 1.853 (1.060) | 0.227c (0.823) | 0.756 (0.505) | 0.429b (0.423) |
| Very bad | 2.134 (0.785) | 0.369b (0.417) | 0.187a (1.068) | 0.700 (0.554) | 0.833 (0.493) |
a, b and c indicates 1, 5 and 10 % significance level respectively