| Literature DB >> 32192499 |
Abel Bicaba1, Luc Serme1, Gaël Chetaille2, Gountante Kombate1, Alice Bila1, Slim Haddad3.
Abstract
BACKGROUND: Seasonal malaria chemoprevention (SMC) relies on community health workers to distribute drugs. This study assessed: (1) the capacity of community-based distributors (CBDs) at the start and end of a campaign and from one campaign to another after training or refresher courses before each round; (2) to what extent CBDs' experience over several campaigns contributed to measurable increase in their capacities; and (3) to what extent the training and experience of committed CBDs helped the less productive to catch up.Entities:
Keywords: Community health workers’ performance; Evaluation; Seasonal malaria chemoprevention; Training
Year: 2020 PMID: 32192499 PMCID: PMC7082958 DOI: 10.1186/s12936-020-03191-y
Source DB: PubMed Journal: Malar J ISSN: 1475-2875 Impact factor: 2.979
Characteristics of CBDs in the first round of the survey (P1-2017)
| Characteristics | n | Mean or % |
|---|---|---|
| Age | 424 | 32.3 |
| Sex | ||
| Male | 305 | 72.0 |
| Female | 119 | 28.0 |
| Living in the distribution village | ||
| Yes | 341 | 80.4 |
| No | 83 | 19.6 |
| Education level | ||
| No schooling | 23 | 50.4 |
| Literate | 69 | 16.3 |
| Primary school not completed | 43 | 10.1 |
| Primary school completed | 289 | 68.2 |
| Main activity | ||
| Agriculture | 284 | 67.1 |
| Livestock | 15 | 3.6 |
| Commerce | 20 | 4.7 |
| Studies | 82 | 19.4 |
| Other | 22 | 5.2 |
| Years of experience as a CHW | ||
| None | 159 | 37.5 |
| 1 year or less | 90 | 21.2 |
| 2 years | 37 | 8.7 |
| 3 years or more | 138 | 32.6 |
| Number of SMC campaigns in which the CBD has already participated | ||
| None | 55 | 13.0 |
| One | 132 | 31.1 |
| Two or more | 237 | 55.9 |
Completeness of content and conduct of training at each round
| Score | Number of items | Round | Variation | Relative variation | |||||
|---|---|---|---|---|---|---|---|---|---|
| P1 2017 | P4 2017 | P1 2018 | P1→P4 | P1→P1 | P1-P4 | P1-P1 | |||
| (1) | (2) | (3) | (2)-(1)* | (3)-(1)* | (2)-(1)/(1) | (3)-(1)/(1) | |||
| Training content | |||||||||
| C1 | SMC well explained | 6 | 5.9 | 5.5 | 6.0 | 0.09 | 1% | ||
| C2 | Selection criteria covered | 14 | 13.2 | 12.4 | 13.7 | − 0.74 | 0.52 | − 6% | 4% |
| C3 | Steps of SMC covered | 13 | 12.2 | 10.5 | 12.1 | − 0.13 | − 1% | ||
| C4 | Communication covered | 4 | 3.9 | 3.5 | 3.9 | − 0.04 | − 1% | ||
| C5 | Referral covered | 4 | 4.0 | 3.7 | 4.0 | − 0.26 | 0.00 | − 7% | 0% |
| C6 | Side effects covered | 2 | 1.8 | 1.3 | 1.7 | − 0.52 | − 0.04 | − 29% | − 2% |
| Completeness score transformed (range: 0–100) | 43 | 97.7% | 86.25% | 99.7% | 2.0% | ||||
| Conduct of the training | |||||||||
| D1 | General conditions | 4 | 2.3 | 2.2 | 2.9 | − 0.1 | − 6% | ||
| D2 | Dynamism of the trainer | 3 | 2.5 | 2.5 | 2.7 | 0.0 | 0.3 | 0% | 11% |
| D3 | Trainer-participant interactions | 5 | 5.0 | 4.5 | 5.0 | 0.0 | 0% | ||
| D4 | Work environment | 3 | 1.9 | 1.7 | 2.0 | − 0.1 | 0.1 | − 7% | 7% |
| Conduct score transformed (range 0–100) | 15 | 77% | 73% | 84% | − 3.2% | 7.9% | |||
| Duration of the training (min.) | |||||||||
| Mean | 229 | 115 | 203 | − 27 | − 50% | − 12% | |||
| Median | 195 | 133 | 202 | ||||||
| Minimum | 24 | 35 | 45 | ||||||
| Maximum | 470 | 256 | 414 | ||||||
* Crude comparisons, not adjusted. In italics, significant differences between rounds (p < 0.05)
Mean capacities of CBDs at each of the three observation rounds
| Knowledge score | Number of items | Scores by round (%) | Variation* | ||||
|---|---|---|---|---|---|---|---|
| P1 2017 | P4 2017 | P1 2018 | P1- > P4 | P1- > P1 | |||
| (1) | (2) | (3) | (2)-(1) | (3)-(1) | |||
| S1 | Reasons for SMC | 1 | 90.3% | 96.4% | 93.8% | ||
| S2 | What to do upon arrival in the household | 3 | 96% | 98% | 98% | ||
| S3 | Selection of eligible children | 5 | 82% | 87% | 85% | ||
| S4 | When to refer the child | 3 | 78% | 86% | 71% | ||
| S5 | Selection of drug packet | 5 | 91% | 97% | 97% | ||
| S6 | Immediate monitoring of child | 3 | 86% | 87% | 94% | + 00.7% | |
| S7 | Subsequent monitoring by parents | 3 | 90% | 93% | 93% | ||
| S8 | Advising parents | 3 | 100% | 100% | 100% | − 00.1% | − 00.2% |
| S9 | Noting the | 1 | 96% | 98% | 88% | + 02.1% | |
| Total | Overall know-how | 27 | 89% | 93% | 91% | ||
* Crude comparisons, not adjusted. In italics, significant differences between rounds (p < 0.05)
Characteristics of CBDs associated with their know-how
| Characteristics of CBDs | Mean score (%) | ||
|---|---|---|---|
| Crude (%)a | Adjustedb | ||
| Estimates (%) | Difference (%)c | ||
| Age | |||
| Q1 (< 23) | 89.7 | 90.2 | |
| Q23 (23–39) | 91.6 | 91.9 | |
| Q4 (> 40) | 90.4 | 91.0 | + 00.8 |
| Sex | |||
| Male | 91.1 | 91.5 | |
| Female | 90.3 | 90.6 | − 00.9 |
| Education | |||
| Not educated | 89.4 | 89.1 | |
| Educated | 91.2 | 91.8 | |
| Experience as CHW | |||
| None | 90.8 | 91.3 | |
| 1 year | 90.2 | 91.0 | − 00.3 |
| 2 years | 91.8 | 91.7 | + 00.5 |
| 3 years or more | 90.9 | 91.2 | − 00.1 |
| Participation in previous SMC campaigns | |||
| None | 89.9 | 89.6 | |
| 1 | 90.4 | 91.0 | |
| 2 or more | 91.4 | 92.0 | |
| 3 or more | 91.1 | 91.7 | |
aObserved values in the sample. Standard errors adjusted for clustering
bPredicted values estimated by tobit models. Standard errors adjusted for clustering
cDifferences in expected outcomes. Significant effects in italics (α = 0.05)
Factors modifying the progression of CBDs’ overall capacities from one round to another (overall score)
| Score by rounda | Variationb | ||||||
|---|---|---|---|---|---|---|---|
| P1-2017 | P4-2017 | P1-2018 | Diff. P4-P1 | Diff. of diff. | Diff. P1-P1 | Diff. of diff. | |
| All | 89.2 | 94.1 | 92.7 | ||||
| [88.1,90.4] | [93.0,95.0] | [91.4,93.9] | |||||
| Male (ref.) | 89.9 | 94.2 | 92.6 | ||||
| [88.7,91.1] | [93.0,95.4] | [91.2,94.0] | 2.0 | ||||
| Female | 87.3 | 93.6 | 92.9 | [− 0.6,4.5] | |||
| [85.6,89.1] | [91.8,95.5] | [91.1,94.6] | |||||
| No schooling (ref.) | 86.2 | 91.7 | 90.8 | ||||
| [84.4,88.1] | [89.8,93.6] | [88.8,92.8] | − 0.8 | − 1.5 | |||
| Educated | 90.2 | 94.9 | 93.3 | [− 3.6,2.0] | [− 4.2,1.3] | ||
| [89.0,91.4] | [93.6,96.1] | [92.0,94.6] | |||||
| Q1 age (ref) | 87.4 | 93.7 | 93.2 | ||||
| [85.4,89.4] | [91.7,95.8] | [91.0,95.5] | |||||
| Q23 age | 90.1 | 94.5 | 93.1 | − 2.0 | − 2.8 | ||
| [88.8,91.4] | [93.1,95.8] | [91.7,94.5] | [− 4.9,0.9] | [− 5.9,0.3] | |||
| Q3 age | 88.8 | 93.6 | 91.4 | − 1.5 | − 3.1 | ||
| [87.0,90.6] | [91.7,95.4] | [89.6,93.3] | [− 5.06,2.0] | [− 6.8,0.5] | |||
aPredicted values estimated by tobit models. Standard errors adjusted for clustering
bDifferences in expected outcome and differences in differences. Significant effects in italics (α = 0.05)