| Literature DB >> 29242251 |
Abigail Donner1, Allison Belemvire2, Ben Johns3, Keith Mangam4, Elana Fiekowsky5, Jayleen Gunn6, Mary Hayden7, Kacey Ernst6.
Abstract
BACKGROUND: One of the primary control measures for malaria transmission is indoor residual spraying (IRS). Historically, few women have worked in IRS programs, despite the income-generating potential. Increasing women's roles in IRS requires understanding the barriers to women's participation and implementing measures to address them. The U.S. President's Malaria Initiative (PMI) Africa Indoor Residual Spraying (AIRS) Project is the largest implementer of IRS globally. To address gender inequity in IRS operations, PMI AIRS assessed the barriers to the participation of women and developed and implemented policies to address these barriers.Entities:
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Year: 2017 PMID: 29242251 PMCID: PMC5752607 DOI: 10.9745/GHSP-D-17-00189
Source DB: PubMed Journal: Glob Health Sci Pract ISSN: 2169-575X
FIGURE 1.Overview of Gender-Focused Policies Implemented by the PMI AIRS Project
PMI AIRS Project Training Data by Country and Year, 2012–2015
| 2012 | 2013 | 2014 | 2015 | |
|---|---|---|---|---|
| No. of people trained | 1748 | 1543 | 2487 | 3333 |
| No. of women trained | 262 | 276 | 443 | 591 |
| % trained who were women | 15% | 18% | 18% | 18% |
| No. of people trained | 4213 | 3987 | 4390 | 4452 |
| No. of women trained | 992 | 1072 | 1472 | 1631 |
| % trained who were women | 24% | 27% | 34% | 37% |
| No. of people trained | 1265 | 1681 | 1657 | 1544 |
| No. of women trained | 200 | 233 | 300 | 292 |
| % trained who were women | 16% | 14% | 18% | 19% |
| No. of people trained | 14,818 | 2241 | 3450 | 3302 |
| No. of women trained | 3583 | 482 | 1593 | 1337 |
| % trained who were women | 24% | 22% | 46% | 40% |
| No. of people trained | 2371 | 2426 | 2066 | 1370 |
| No. of women trained | 303 | 409 | 271 | 226 |
| % trained who were women | 13% | 17% | 13% | 16% |
| No. of people trained | 1953 | 1368 | 1677 | 2119 |
| No. of women trained | 596 | 303 | 625 | 624 |
| % trained who were women | 31% | 22% | 37% | 29% |
| No. of people trained | 6062 | 9558 | 7801 | 8998 |
| No. of women trained | 1556 | 2738 | 2185 | 2581 |
| % trained who were women | 26% | 29% | 28% | 29% |
| No. of people trained | 1657 | 3973 | 1263 | 1287 |
| No. of women trained | 218 | 1221 | 218 | 397 |
| % trained who were women | 13% | 31% | 17% | 31% |
| No. of people trained | – | – | 1592 | 2105 |
| No. of women trained | – | – | 616 | 625 |
| % trained who were women | – | – | 39% | 30% |
| No. of people trained | 34,087 | 26,777 | 26,383 | 28,510 |
| No. of women trained | 7710 | 6431 | 7723 | 8304 |
| % trained who were women | 23% | 25% | 28% | 29% |
No employee training data available for Zambia in 2012 and 2013, because until 2014, the PMI AIRS Project in Zambia provided only technical assistance.
FIGURE 2.Percentage of Women Trained by the PMI AIRS Project, 2012 to 2015
FIGURE 3.Percentage of Women in PMI AIRS Project Supervisory Positions by Country, 2012 to 2015
Average Number of Structures Sprayed per Day by Country and Sex of Spray Operators, 2016
| Country | Mean No. of Structures Sprayed per Day (N) | Difference Between Men and Women | ||
|---|---|---|---|---|
| Men | Women | |||
| Benin | 14.6 (883) | 14.6 (129) | 0 | .96 |
| Ghana | 17.1 (293) | 15.9 (151) | 1.2 | <.001 |
| Ethiopia | 17.1 (1446) | 16.3 (47) | 0.8 | <.001 |
| Madagascar | 14.3 (780) | 14.1 (174) | 0.2 | .23 |
| Mali | 14.0 (695) | 13.3 (299) | 0.7 | .15 |
| Mozambique | 8.0 (1089) | 7.3 (403) | 0.7 | <.001 |
| Rwanda | 8.8 (534) | 8.7 (729) | 0.1 | .42 |
| Senegal | 14.9 (340) | 14.1 (157) | 0.8 | .49 |
| Zambia | 15.1 (741) | 14.2 (374) | 0.9 | <.001 |
Average Spray Refusal Rates by Country and Sex of Spray Operators, 2016
| Country | Refusal Rate | Difference Between Men and Women | ||
|---|---|---|---|---|
| Men Spray Operators | Women Spray Operators | |||
| Benin | 2.4% (883) | 2.4% (129) | 0.0% | .96 |
| Ghana | 1.0% (293) | 1.4% (151) | −0.4% | <.001 |
| Ethiopia | 0.1% (1446) | 0.1% (47) | 0.0% | .60 |
| Madagascar | 0.3% (780) | 0.2% (174) | 0.1% | .06 |
| Mali | 0.7% (695) | 0.7% (299) | 0.0% | .47 |
| Mozambique | 11.3% (1089) | 13.3% (403) | −2.0% | .005 |
| Rwanda | 0.1% (534) | 0.1% (729) | 0.0% | .71 |
| Senegal | 0.5% (340) | 0.4% (157) | 0.1% | <.001 |
| Zambia | 1.2% (741) | 1.3% (374) | −0.1% | <.001 |
No. of households refusing to be sprayed per total structures found.
Senegal's data were based on the number of rooms (not number of structures) that were not treated, due to refusals, over the number of rooms found.
Changes in Gender Index Scores by Country, 2015
| Country | No. Surveyed at Baseline | No. Surveyed at Endline | No. With Matched Baseline and Endline Surveys | % With Matched Baseline and Endline Surveys | Respondents Matched at Baseline and Endline | All Respondents | ||||
|---|---|---|---|---|---|---|---|---|---|---|
| Gender Index Score | Gender Index Score | Difference in Gender Index Score From Baseline | Adjusted Difference in Mean Gender Index Scores | |||||||
| Madagascar | 1,227 | 937 | 465 | 38% | 7.59 | 8.00 | 0.41 (0.11) | <.001 | 0.06 (0.08) | .48 |
| Rwanda | 795 | 796 | 628 | 79% | 7.17 | 7.47 | 0.30 (0.08) | <.001 | 0.21 (0.10) | .03 |
| Zimbabwe | 239 | 225 | 190 | 79% | 8.37 | 8.04 | −0.33 (0.16) | .048 | −0.37 (0.18) | .04 |
| Ethiopia | 676 | 499 | 115 | 17% | 7.72 | 7.47 | −0.25 (0.18) | .16 | −0.61 (0.12) | < .001 |
Abbreviation: SE, standard error.
Notes: The PMI AIRS Project collected survey data among a sample of spray operators in 4 countries. Surveys were completed both before the 2015 spray season began (baseline or preseason) and after the season ended (endline or postseason).
The gender index score is the average number of questions, out of a total of 11, answered in favor of gender egalitarianism.
Adjusted results control for sex, previous experience working with the PMI AIRS Project (self-reported), ability to read, education, whether respondents live where they work, whether the respondents are heads of household, and (in Madagascar) district of the survey.
Rwanda's 2015 spray season included 2 rounds of spraying.
Covariates were not collected; results are not adjusted.
Changes in Gender Index Scores by Country and Sex of Spray Operators, 2015
| Country | Sex | No. Surveyed at Baseline | No. Surveyed at Endline | No. (%) With Matched Baseline and Endline Surveys | Respondents Matched at Baseline and Endline | All Respondents | ||||
|---|---|---|---|---|---|---|---|---|---|---|
| Gender Index Score | Gender Index Score | Difference-in-Difference in Gender Index Scores (SE) | Adjusted Difference-in-Difference in Gender Index Scores | |||||||
| Madagascar | Men | 686 | 617 | 147 (21) | 7.32 | 7.78 | 0.16 (0.24) | .51 | 0.03 (0.17) | .88 |
| Women | 537 | 320 | 319 (59) | 8.19 | 8.49 | |||||
| Rwanda | Men | 523 | 564 | 439 (84) | 6.99 | 7.20 | 0.30 (0.17) | .09 | 0.14 (0.21) | .51 |
| Women | 261 | 228 | 187 (72) | 7.56 | 8.07 | |||||
| Ethiopia | Men | 532 | 390 | 106 (20) | 7.80 | 7.53 | 0.29 (0.65) | .66 | −0.15 (0.31) | .64 |
| Women | 132 | 82 | 9 (7) | 6.76 | 6.78 | |||||
Abbreviation: SE, standard error.
Notes: The PMI AIRS Project collected survey data among a sample of spray operators in 4 countries. Surveys were completed both before the spray season began (baseline or preseason) and after the season ended (endline or postseason). Zimbabwe is not included in this table because Zimbabwe's survey did not ask for the respondent's gender, due to government restrictions. Sex-disaggregated totals do not match overall total because demographic data were not collected from all respondents.
The gender index score is the average number of questions answered, out of a total of 11, in favor of gender egalitarianism.
Adjusted results control for sex, previous experience working with the PMI AIRS Project (self-reported), ability to read, education, whether respondents live where they work, whether respondents are heads of household, and (in Madagascar) the district of the survey.
Rwanda's 2015 spray season included 2 rounds of spraying.