| Literature DB >> 32799990 |
Joseph Asumah Braimah1, Yujiro Sano2, Kilian Nasung Atuoye3, Isaac Luginaah3.
Abstract
BACKGROUND: Ghana in 1999 adopted the Community-based Health Planning and Service (CHPS) policy to enhance access to primary health care (PHC) service. After two decades of implementation, there remains a considerable proportion of the country's population, especially women who lack access to basic health care services. AIM: The aim of this paper is to understand the contribution of Ghana's CHPS policy to women's access to PHC services in the Upper West Region (UWR) of Ghana.Entities:
Keywords: Community-based Health Planning and Services; Ghana; Upper West Region; health care access; primary health care; women
Mesh:
Year: 2019 PMID: 32799990 PMCID: PMC8060816 DOI: 10.1017/S1463423619000185
Source DB: PubMed Journal: Prim Health Care Res Dev ISSN: 1463-4236 Impact factor: 1.458
Univariate analysis of selected dependent and independent variables
| Variable | Category | Codes | Percentage |
|---|---|---|---|
| No | 0 | 83.60 | |
| Yes | 1 | 16.40 | |
| No | 0 | 23.23 | |
| Yes | 1 | 76.77 | |
| Urban | 0 | 27.20 | |
| Rural | 1 | 72.80 | |
| Less than 1 km | 0 | 38.39 | |
| From 1 to 5 km | 1 | 24.35 | |
| More than 5 km | 2 | 37.27 | |
| Richest | 0 | 19.25 | |
| Richer | 1 | 18.39 | |
| Middle | 2 | 18.51 | |
| Poorer | 3 | 23.48 | |
| Poorest | 4 | 20.37 | |
| Secondary/higher | 0 | 22.11 | |
| Primary education | 1 | 20.87 | |
| No education | 2 | 57.02 | |
| 30.82 | |||
| Married | 0 | 83.23 | |
| Never married | 1 | 4.47 | |
| Formerly married | 2 | 12.30 | |
| Christian | 0 | 49.94 | |
| Muslim | 1 | 39.50 | |
| Traditionalist | 2 | 8.70 | |
| No religion/other | 3 | 1.86 | |
| Total | 805 | ||
The categories coded ‘0’ are the reference categories for all variables.
Mean reported for age of respondents.
Bivariate analysis of selected dependent and independent variables
| Variable | OR (SE) |
|---|---|
| No | 1.000 |
| Yes | 1.426 (0.155)*** |
| Urban | 1.000 |
| Rural | 0.998 (0.099) |
| 1.000 | |
| From 1 to 5 km | 0.923 (0.105) |
| More than 5 km | 0.851 (0.086)* |
| Richest | 1.000 |
| Richer | 0.929 (0.133) |
| Middle | 0.925 (0.132) |
| Poorer | 0.673 (0.093)*** |
| Poorest | 0.805 (0.113)* |
| Secondary/higher | 1.000 |
| Primary education | 1.052 (0.142) |
| No education | 1.056 (0.117) |
| 1.012 (0.005)** | |
| Married | 1.000 |
| Never married | 2.503 (0.588)*** |
| Formerly married | 1.607 (0.218)*** |
| Christian | 1.000 |
| Muslim | 1.047 (0.098) |
| Traditionalist | 0.847 (0.140) |
| No religion/other | 1.673 (0.566) |
OR = odds ratios; SE = standard errors.
*P ≤ 0.1; **P ≤ 0.05; ***P ≤ 0.01.
Multivariate analysis of ‘access to treatment from health care worker’ among women in the UWR, Ghana
| Variable | Model 1 | Model 2 | Model 3 |
|---|---|---|---|
| OR (SE) | OR (SE) | OR (SE) | |
| No | 1.000 | 1.000 | 1.000 |
| Yes | 1.472 (0.167)*** | 1.580 (0.180)*** | 1.612 (0.196)*** |
| Urban | 1.000 | 1.000 | 1.000 |
| Rural | 0.929 (0.096) | 0.767 (0.099)** | 0.696 (0.099)** |
| Less than 1 km | 1.000 | 1.000 | 1.000 |
| From 1 to 5 km | 0.972 (0.112) | 0.923 (0.115) | 0.885 (0.113) |
| More than 5 km | 0.845 (0.089)* | 0.805 (0.088)** | 0.809 (0.091)* |
| Richest | 1.000 | 1.000 | |
| Richer | 0.904 (0.132) | 0.926 (0.141) | |
| Middle | 0.861 (0.126) | 0.863 (0.134) | |
| Poorer | 0.580 (0.084)*** | 0.581 (0.091)*** | |
| Poorest | 0.644 (0.112)** | 0.608 (0.110)*** | |
| Secondary/higher | 1.000 | 1.000 | |
| Primary education | 1.007 (0.143) | 1.095 (0.162) | |
| No education | 0.906 (0.116) | 0.973 (0.136) | |
| 1.006 (0.006) | |||
| Currently married | 1.000 | ||
| Never married | 2.825 (0.707)*** | ||
| Formerly married | 1.553 (0.242)*** | ||
| Christian | 1.000 | ||
| Muslim | 1.012 (0.110) | ||
| Traditionalist | 0.744 (0.142) | ||
| No religion/other | 1.438 (0.531) | ||
| Constant | 0.460 (0.565)*** | 0.698 (0.148)* | 0.526 (0.151)** |
| Log likelihood | −352.146 | −343.754 | −324.93 |
OR = odds ratios; SE = standard errors; locational variables in Model 1; socio-economic variables added in Model 2; demographic variables in Model 3.
*P ≤ 0.1; **P ≤ 0.05; ***P ≤ 0.01.