| Literature DB >> 31071125 |
Rose N M Mpembeni1, Deodatus C V Kakoko2, Henriette S Aasen3, Ingvill Helland4.
Abstract
BACKGROUND: Maternal mortality rates are still unacceptably high in many countries, indicating violation of women´s human right to life and health. Access to adequate information about maternal health rights and available services are essential aspects of realizing women´s right to accessible health care. This study aimed at assessing awareness of the right to access maternal health services among women who had recently given birth, and the association between such awareness and the utilization of maternal health services in two districts in Tanzania.Entities:
Mesh:
Year: 2019 PMID: 31071125 PMCID: PMC6508648 DOI: 10.1371/journal.pone.0216027
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Socio demographic characteristics of the study participants by district.
| Characteristic | District | Total | |
|---|---|---|---|
| Morogoro | Hai | ||
| 28 (10.1) | 14 (5.5) | 42 (7.9) | |
| 216 (77.7) | 193 (75.7) | 409 (76.7) | |
| 34 (12.2) | 48 (18.8) | 82 (15.4) | |
| House wife/Subsistence farmer | 286 (93.4) | 209 (81.6) | 477 (87.8) |
| 7 (2.4) | 14 (5.5) | 21 (3.9) | |
| 12 (4.2) | 33 (12.9) | 45 (8.3) | |
| No Formal Education/Primary incomplete | 95 (34.3) | 16 (6.4) | 111 (21.0) |
| Primary Education | 155 (56.0) | 180 (71.7) | 335 (63.4) |
| Post Primary | 27 (9.7) | 55 (21.9) | 82 (15.5) |
| Can read | 191 (69) | 234 (93.2) | 425 (80.5) |
| Can read part of the sentence | 17 (6.1) | 10 (4.0) | 27 (5.1) |
| Cannot read at all | 69 (24.9) | 7 (2.8) | 76 (14.4) |
| 11 (4.3) | 29 (5.4) | ||
| 244 (86.5) | 237 (92.6) | 481 (89.4) | |
| 20 (7.1) | 8 (3.1) | 28 (5.2) | |
| 66 (22.9) | 63 (24.6) | 129 (23.7) | |
| 196 (68.1) | 175 (68.4) | 371 (68.2) | |
| 26 (9.0) | 18 (7.0) | 44 (8.1) | |
| 122 (42.4) | 203 (79.6) | 325 (59.9) | |
| 130 (45.1) | 52 (20.4) | 182 (33.5) | |
| 36 (12.5) | 0 | 36 (6.6) |
*p<0.05
Chi square test results showing awareness of the right to access maternal health services by socio-demographic characteristics.
| Characteristic | Total | % Aware | P value |
|---|---|---|---|
| > = 35 | 82 (15.4) | 35.5 | 0.335 |
| House wife/Subsistence farmer | 477 (87.8) | 32.9 | 0.003 |
| Self Employed(small business) | 21 (3.9) | 37.1 | |
| Employed (Government/Private) | 45 (8.3) | 53.3 | |
| No Formal/Primary incomplete | 111 (21.0) | 26.1 | 0.001 |
| Primary Completed | 335 (63.4) | 34.3 | |
| Post Primary | 82 (15.5) | 52.4 | |
| Single | 29 (5.4) | 37.9 | 0.899 |
| Married | 481 (89.4) | 35.6 | |
| Divorced/Separated/Widowed | 28 (5.2) | 32.1 | |
| 1 | 129 (23.7) | 42.6 | 0.166 |
| 2–4 | 371 (68.2) | 33.3 | |
| 5+ | 44 (8.1) | 34.1 | |
| Morogoro DC | 290 (53) | 30.7 | 0.016 |
| Hai DC | 257 (47) | 40.9 |
Association between rights awareness and utilization of maternal health services.
| Variable | Awareness | Total | |
|---|---|---|---|
| Yes | No | Total | |
| < = 3 months | 60(32.1) | 108 (31.7) | 168 (31.8) |
| >3 months | 127 (67.9) | 233 (68.3) | 360 (68.2) |
| 1–3 | 39(20.2) | 81(23.2) | 120 (22.1) |
| 4 or more | 154 (79.8) | 268 (76.8) | 422 (77.9) |
| SBA | 171 (88.6) | 252 (71.6) | 423 (77.6) |
| Non SBA | 22 (11.4) | 100 (28.4) | 122 (22.4) |
| Yes | 48 (25.0) | 72 (20.7) | 120 (22.2) |
| 144 (75.0) | 276 (79.3) | 420 (77.8) | |
* P<0.05
Utilization of SBA and associated factors analysed using binary logistic regression.
| Variable | Total | % used SBA | Crude Odds Ratio (COR) (95%CI) |
|---|---|---|---|
| > = 35 | 82 (15.4) | 79.3 | 1.58 (0.67–3.73) |
| House wife/Subsistence farmer | 477 (87.8) | 75.8 | 1 |
| Self Employed(small business) | 21 (3.9) | 90.5 | 3.04 (0.69–13.23) |
| Employed (Gvt/Private) | 45 (8.3) | 91.1 | 3.27 (1.15–9.34) |
| No Formal/Primary incomplete | 111 (21.0) | 61.3 | 1 |
| Primary Completed | 335 (63.4) | 80.8 | 2.66 (1.67–4.25) |
| Post Primary | 82 (15.5) | 85.4 | 3.69 (1.79–7.57) |
| Single | 29 (5.4) | 65.5 | 1 |
| Married | 481 (89.4) | 79.1 | 1.99 (0.89–4.42) |
| Divorced/Separated/Widowed | 28 (5.2) | 63.3 | 0.95 (0.32–2.8) |
| 1 | 129 (23.7) | 82.2 | 1 |
| 2–4 | 371 (68.2) | 77.3 | 0.71 (0.42–1.19) |
| 5+ | 44 (8.1) | 63.6 | 0.36 (0.17–0.78) |
| Morogoro DC | 290 (53) | 64.7 | 1 |
| Hai DC | 257 (47) | 92.9 | 6.44 (3.84–10.79) |
| No | 353 (64.5) | 71.6 | 1 |
| Yes | 194 (35.5) | 88.6 | 3.08 (1.87–5.09) |
| <2 | 325 (59.9) | 87.4 | 1 |
| 2–5 | 182 (33.5) | 66.5 | 0.3 (0.19–0.47) |
| >5 | 36 (6.6) | 44.4 | 0.11 (0.05–0.23) |
| 167 (31.7) | 32.1 | 1 | |
| 359 (68.3) | 69.9 | 1.08 (0.69–1.68) | |
| 120 (22.2) | 21.2 | 1 | |
| 420 (78.8) | 77.8 | 1.28 (0.79–2.04) |
*p<0.05
Multivariate analysis results on factors associated with utilization of skilled birth attendants.
| Variable | N (%) | Adjusted Odds Ratios (AOR) |
|---|---|---|
| Morogoro | 290 (53) | 1 |
| Hai | 257 (47) | 3.83 (2.15–6.83) |
| No | 353 (64.5) | 1 |
| Yes | 194 (35.5) | 4.61 (2.14–8.57) |
| <2 | 325 (59.4) | 1 |
| 2–5 | 179 (32.7) | 0.33 (0.19–0.56) |
| >5 | 37 (6.8) | 0.18 (0.08–0.42) |