| Literature DB >> 26637186 |
Martin Atela1, Pauline Bakibinga2, Remare Ettarh3, Catherine Kyobutungi4, Simon Cohn5.
Abstract
BACKGROUND: Enhancing accountability in health systems is increasingly emphasised as crucial for improving the nature and quality of health service delivery worldwide and particularly in developing countries. Accountability mechanisms include, among others, health facilities committees, suggestion boxes, facility and patient charters. However, there is a dearth of information regarding the nature of and factors that influence the performance of accountability mechanisms, especially in developing countries. We examine community members' experiences of one such accountability mechanism, the health facility charter in Kericho District, Kenya.Entities:
Mesh:
Year: 2015 PMID: 26637186 PMCID: PMC4670501 DOI: 10.1186/s12913-015-1204-6
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Fig. 1Multi-step sampling strategy for the household survey
Background characteristics of respondents by each health facility
| FA | FB | FC | FD | Total | |
|---|---|---|---|---|---|
| Individual characteristics | |||||
| Number of respondents | 256 | 251 | 256 | 256 | 1019 |
| Sex: | |||||
| Male | 112 (43.8 %) | 88 (35.1 %) | 91 (35.5 %) | 80 (36.4 %) | 371 (36.4 %) |
| Female | 144 (56.3 %) | 163 (64.9 %) | 165 (64.5 %) | 176 (63.6 %) | 648 (63.6 %) |
| Age group: | |||||
| 17–24 years | 85 (33.2 %) | 86 (34.3 %) | 97 (37.9 %) | 811 (31.6 %) | 349 (34.2 %) |
| 25–34 years | 79 (30.9 %) | 62 (24.7 %) | 62 (24.2 %) | 75 (29.3 %) | 278 (27.3 %) |
| 35–44 years | 50 (19.5 %) | 46 (18.3 %) | 46 (18 %) | 44 (17.2 %) | 186 (18.3 %) |
| ≥ 45 years | 42 (16.4 %) | 57 (22.7 %) | 51 (19.9 %) | 56 (21.9 %) | 206 (20.2 %) |
| Current Marital Status: | |||||
| Singlea | 96 (37.5 %) | 76 (30.3 %) | 79 (30.9 %) | 72 (28.1 %) | 323 (31.7 %) |
| Married | 160 (62.5 %) | 175 (69.7 %) | 177 (69.1 %) | 184 (71.9 %) | 696 (68.3 %) |
| Highest education level: | |||||
| Primary school or less | 144 (56.3 %) | 142 (56.6 %) | 143 (55.9 %) | 168 (65.6 %) | 597 (58.6 %) |
| Secondary school | 92 (35.9 %) | 86 (34.3 %) | 89 (34.8 %) | 77 (30.1 %) | 344 (33.8 %) |
| Post-Secondary | 20 (7.8 %) | 23 (9.2 %) | 24 (9.4 %) | 11 (4.3 %) | 78 (7.7 %) |
| Main Occupation | |||||
| Agriculture | 138 (53.9 %) | 163 (64.9 %) | 165 (64.5 %) | 169 (66 %) | 635 (62.3 %) |
| Skilled Labour | 45 (17.6 %) | 29 (11.9 %) | 31 (12.1 %) | 32 (12.5 %) | 137 (13.4 %) |
| Unskilled labour | 28 (10.9 %) | 21 (8.4 %) | 24 (9.4 %) | 27 (10.5 %) | 100 (9.8 %) |
| Student | 45 (17.6 %) | 38 (15.1 %) | 36 (14.1 %) | 28 (10.9 %) | 147 (14.4 %) |
| Estimated Monthly Income in KES | |||||
| ≤ 2,000 | 137 (53.5 %) | 117 (46.6 %) | 148 (57.8 %) | 151 (59 %) | 553 (54.3 %) |
| 2001–5,000 | 79 (30.9 %) | 91 (36.3 %) | 67 (26.2 %) | 65 (25.4 %) | 302 (29.6 %) |
| ≥ 5,001 | 40 (15.6 %) | 43 (17.1 %) | 41 (16 %) | 40 (15.6 %) | 164 (16.1 %) |
| Illness and morbidity | |||||
| Ill household member in last facility visitb | |||||
| ≤ 5 Years | 64 (25.4 %) | 77 (32.9 %) | 67 (27.2 %) | 83 (33.1 %) | 291 (29.6 %) |
| ≥ 5 Years | 188 (74.6 %) | 157 (67.1 %) | 179 (72.8 %) | 168 (66.9 %) | 693 (70.4 %) |
| Illness Encountered | |||||
| Malaria | 119 (47 %) | 105 (44.9 %) | 98 (39.8 %) | 111 (44.2 %) | 433 (44 %) |
| ARIc | 49 (19.4 %) | 80 (34.2 %) | 76 (30.9 %) | 67 (26.7 %) | 272 (27.6 %) |
| Typhoid | 15 (5.9 %) | 11 (4.7 %) | 9 (3.7 %) | 18 (7.2 %) | 53 (5.4 %) |
| Trauma & Accidents | 8 (3.2 %) | 8 (3.4 %) | 15 (6.1 %) | 12 (4.8 %) | 43 (4.4 %) |
| NCDsd | 19 (7.5 %) | 7 (3 %) | 6 (2.4 %) | 1 (0.4 %) | 33 (3.4 %) |
| Others | 43 (17 %) | 23 (9.8 %) | 42 (17.1 %) | 42 (16.7 %) | 150 (15.2 %) |
| Treatment Provider | |||||
| Health Facility | 243 (94.9 %) | 220 (87.6 %) | 241 (94.1 %) | 239 (93.4 %) | 943 (92.5 %) |
| Non-Health Facility | 10 (3.9 %) | 14 (5.6 %) | 5 (2 %) | 12 (4.7 %) | 41 (4 %) |
| n/a | 3 (1.2 %) | 17 (6.8 %) | 10 (3.9 %) | 5 (2 %) | 35 (3.4 %) |
| Distance to nearest HF | |||||
| ≤ 3 Km | 222 (86.7 %) | 180 (71.7 %) | 194 (75.8 %) | 238 (93 %) | 834 (81.8 %) |
| 3–5 Km | 21 (8.2 %) | 40 (15.9 %) | 47 (18.4 %) | 1 (0.4 %) | 109 (10.7 %) |
| Don’t Know | 13 (5.1 %) | 31 (12.4 %) | 15 (5.9 %) | 17 (6.6 %) | 76 (7.5 %) |
aIncludes never married, separated, divorced or widowed
bExcludes 35 respondents who did not experience any illness in the 6 months prior to the survey
cAcute Respiratory Illness
dNon-Communicable Diseases
Group composition and discussion guide for the focus group discussions
| Age group and gender of focus group participants | Number of participants per gender in each facility | Issues discussed/discussion guide | |||
|---|---|---|---|---|---|
| FA | FB | FC | FD | ||
| 17–24 years | • Barriers to youth/women involvement in health facility management. | ||||
| Male | 12 | ||||
| Female | 10 | ||||
| 25–34 years | |||||
| Male | 10 | ||||
| Female | 8 | ||||
| 35 year and above | |||||
| Male | 10 | 11 | |||
| Female | 10 | 9 | |||
Source: Household Survey April – May 2011
Percent distribution of survey respondents by awareness and perceived service charter ‘Usefulness’ per health facility (un-weighted)
| Awareness and use of facility SCs | FA | FB | FC | FD | All facilities |
|---|---|---|---|---|---|
| Ever Seen Facility SC |
|
|
|
|
|
| Yes | 65.7 | 72.3 | 50.2 | 71.3 | 64.9 |
| No | 34.3 | 27.7 | 49.8 | 28.7 | 35.1 |
| Ever read the information on Facility SC? |
|
|
|
|
|
| Yes | 82.4 | 81.1 | 84.8 | 87.5 | 83.9 |
| No | 17.6 | 18.9 | 15.2 | 12.5 | 16.1 |
| How useful do you find the SC |
|
|
|
|
|
| Very Useful | 9.0 | 22.8 | 7.6 | 5.9 | 11.6 |
| Useful | 82.8 | 65.5 | 71.4 | 65.8 | 71.1 |
| Less/Not Useful | 8.2 | 11.7 | 21 | 28.3 | 17.4 |