| Literature DB >> 22521034 |
David Mukanga1, James K Tibenderana, Stefan Peterson, George W Pariyo, Juliet Kiguli, Peter Waiswa, Rebecca Babirye, Godfrey Ojiambo, Simon Kasasa, Franco Pagnoni, Karin Kallander.
Abstract
BACKGROUND: Use of diagnostics in integrated community case management (iCCM) of fever is recognized as an important step in improving rational use of drugs and quality of care for febrile under-five children. This study assessed household access, acceptability and utilization of community health workers (CHWs) trained and provided with malaria rapid diagnostic tests (RDTs) and respiratory rate timers (RRTs) to practice iCCM.Entities:
Mesh:
Year: 2012 PMID: 22521034 PMCID: PMC3359954 DOI: 10.1186/1475-2875-11-121
Source DB: PubMed Journal: Malar J ISSN: 1475-2875 Impact factor: 2.979
Background characteristics of households and under-fives
| Location of households by village | | |
| Bufutula | 151 | 35.7 |
| Nabikoote | 76 | 18.0 |
| Bobogo A | 60 | 14.2 |
| Namunkesu | 56 | 13.2 |
| Bubogo B | 31 | 7.3 |
| Namufuma | 27 | 6.4 |
| Namunsala | 22 | 5.2 |
| | | |
| Head of household | | |
| Sex | | |
| Male | 380 | 89.8 |
| Female | 43 | 10.2 |
| Marital status | | |
| Married/cohabiting | 386 | 91.3 |
| Widowed | 23 | 5.4 |
| Divorced/separated | 11 | 2.6 |
| Single | 3 | 0.7 |
| Religion | | |
| Muslim | 216 | 51.1 |
| Protestant/Evangelical | 172 | 40.7 |
| Catholic | 26 | 6.1 |
| Other | 4 | 0.9 |
| Missing | 5 | 1.2 |
| Occupation | | |
| Employed | 34 | 8.0 |
| Trader/self employed | 176 | 41.6 |
| Farmer | 208 | 49.2 |
| Does not work | 5 | 1.2 |
| Highest education level attained | | |
| Never been to school | 28 | 6.6 |
| Primary | 271 | 64.1 |
| Secondary and above | 124 | 29.3 |
| | | |
| Under-fives | (n = 761) | |
| Median age | 36 months | IQR 19–48 |
| Sex | | |
| Male | 360 | 47.3 |
| Female | 401 | 52.7 |
| Relationship of respondent with under-5 | | |
| Father | 138 | 18.1 |
| Mother | 484 | 63.6 |
| Grandparent | 90 | 11.8 |
| Other | 49 | 6.4 |
| Fever in last 1 month | | |
| Yes | 601 | 79.0 |
| No | 160 | 21.0 |
Composition of unique assets values
| Closest to | Index value (score) | Roof | Wall | Floor |
| Lowest value | −4.275 | Grass | Mud | Mud |
| 25th pecentile | −0.648 | Iron sheets | Bricks/Mud | Mud |
| Median | 0.150 | Iron sheets | Bricks/cement | Mud |
| 75th pecentile | 1.417 | Iron sheets | Bricks/Mud | Cement |
| Highest value | 2.539 | Iron sheets | Plastered cement | Cement |
Utilization of CHW services and caregiver perceptions about CHW use of RDTs
| Variable | Frequency (n = 423) | Percentage |
|---|---|---|
| Respondent visited CHW in past 3 months to seek care for under-five with fever | | |
| Yes | 243 | 57.4 |
| No | 180 | 42.6 |
| | | |
| Those who visited CHW | n = 243 | |
| Was CHW using RDT | | |
| Yes | 212 | 87.2 |
| No | 28 | 11.5 |
| Missing | 3 | 1.2 |
| Was CHW using RRT | | |
| Yes | 207 | 85.2 |
| No | 36 | 14.8 |
| Was RRT useful | | |
| Yes | 209 | 86.0 |
| No | 29 | 11.9 |
| Missing | 5 | 2.1 |
| | | |
| Acceptability of RDTs (all respondents asked question regardless of visit to CHW in 3 months) | n = 423 | |
| CHW services compared with other health services for children with fever | | |
| Better | 280 | 66.2 |
| No difference | 57 | 13.4 |
| Worse | 5 | 1.2 |
| I don’t know | 75 | 17.7 |
| Other | 4 | 0.9 |
| Missing | 2 | 0.5 |
| CHW services before and after RDTs were introduced | | |
| Now better | 336 | 79.4 |
| No difference | 5 | 1.2 |
| Worse | 5 | 1.2 |
| I don’t know | 77 | 18.2 |
| Should CHWs continue using RDTs | | |
| Yes | 375 | 88.7 |
| No | 1 | 0.2 |
| Can’t answer the question | 47 | 11.1 |
Association between household characteristics and utilization of CHW services
| Variable | Utilized CHW services | AOR (95% CI) | p-value | ||
|---|---|---|---|---|---|
| Yes n = 243 | No n = 180 | | | ||
| Distance to nearest Health Centre | | | | | |
| <1 km | 54 | 57 | 1.00 | | |
| 1–3 km | 183 | 112 | 1.72 (1.11–2.68) | 0.015* | |
| >3 km | 6 | 11 | 0.56 (0.18–1.64) | 0.304 | |
| Distance to nearest CHW | | | | | |
| <1 km | 229 | 136 | 1.00 | | |
| 1–3 km | 14 | 44 | 0.19 (0.10–0.38) | <0.001* | |
| Education of head of household | | | | | |
| Never | 18 | 10 | 1.00 | | |
| Primary | 168 | 103 | 0.91 (0.37–2.17) | 0.812 | |
| Secondary and above | 57 | 67 | 0.47 (0.19–1.19) | 0.080 | |
| Occupation of head of household | | | | | |
| Employed/self employed | 127 | 83 | 1.00 | | |
| Farmer | 114 | 94 | 0.79 (0.53–1.19) | 0.241 | |
| Other/Casual | 2 | 3 | 0.44 (0.05–3.29) | 0.391 | |
| Indicator for SES | | | | | |
| Poorest (quartile 1) | 49 | 41 | 1.00 | | |
| Second (quartile 2) | 55 | 48 | 0.96 (0.54–1.69) | 0.884 | |
| Middle (quartile 3) | 73 | 40 | 1.53 (0.87–2.69) | 0.143 | |
| Fourth (quartile 4) | 44 | 34 | 1.09 (0.59–1.98) | 0.798 | |
| Richest (quartile 5) | 22 | 17 | 1.08 (0.51–2.31) | 0.837 | |