Evidence map›Paper›PMID 29242251›Full record

ArticleGlobal health, science and practice2017

Equal Opportunity, Equal Work: Increasing Women's Participation in the U.S. President's Malaria Initiative Africa Indoor Residual Spraying Project.

Abigail Donner, Allison Belemvire, Ben Johns, Keith Mangam, Elana Fiekowsky, Jayleen Gunn, Mary Hayden, Kacey Ernst

Open access · diamondAbstract read
In one paragraph

Article in Global health, science and practice, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 27 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

Abigail DonnerU.S. President's Malaria Initiative (PMI) Africa Indoor Residual Spraying (AIRS) Project, Abt Associates, Bethesda, MD, USA. abigail_donner@abtassociates.com.
Allison BelemvireU.S. President's Malaria Initiative (PMI), Washington, DC, USA.
Ben JohnsU.S. President's Malaria Initiative (PMI) Africa Indoor Residual Spraying (AIRS) Project, Abt Associates, Bethesda, MD, USA.
Keith MangamResults for Development, Washington, DC, USA.
Elana FiekowskyJhpiego, Baltimore, MD, USA.
Jayleen GunnDepartment of Epidemiology and Biostatistics, College of Public Health, University of Arizona, Tucson, AZ, USA.
Mary HaydenResearch Applications Laboratory, National Center for Atmospheric Research, Boulder, CO, USA.
Kacey ErnstDepartment of Epidemiology and Biostatistics, College of Public Health, University of Arizona, Tucson, AZ, USA.
U.S. President's Malaria Initiative · USUniversity of Arizona · USNSF National Center for Atmospheric Research · USResults for Development Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne 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.

methodsThe PMI AIRS Project initially identified barriers through a series of informal assessments with key stakeholders. PMI AIRS then implemented a series of gender-guided policies, starting in 2015, in Benin, Ethiopia, Ghana, Mali, Madagascar, Mozambique, Rwanda, Senegal, Zambia, and Zimbabwe. The policies included adapting physical work environments to ensure privacy for women; ensuring the safety of women in the workplace; guaranteeing safety and job security of women during pregnancy; and encouraging qualified women to apply for supervisory positions. The project collected routine programmatic data on staff, spray quality, and spray efficiency; data from 2012 through the end of 2015 were analyzed (up through 1 year after implementation of the gender policies). In addition, PMI AIRS conducted surveys in 2015, 2016, and 2017 before and after the spray campaigns in 4 countries to determine changes in gender norms among spray operators through questions about decision making and agency.

resultsThe PMI AIRS Project increased women's employment with the program. Specifically, women's employment increased overall from 23% in 2012 to 29% in 2015, with a 2015 range from 16% (Mali) to 40% (Madagascar). Growth among supervisor roles was even stronger, with the percentage of women in supervisory roles increasing from 17% in 2012 to 46% in 2015, with a 2015 range from 9% (Mali) to 50% (Madagascar). While the data showed that in most countries women sprayed fewer houses per day than men in 2015, the differences were not meaningful, ranging from 0.1 to 1.2 households per day. Gender norms shifted toward more egalitarian views in 2 of the 4 countries with survey data.

conclusionPreliminary results suggest the PMI AIRS Project gender policies are increasing the engagement of women in all aspects of spray operations, especially in supervisory roles. Expansion of these policies to all countries implementing IRS and to malaria control implementation more broadly is recommended.

Indexed as

InsecticidesInternational CooperationAfricaEmploymentFemaleHousingHumansMalariaMaleMosquito ControlUnited StatesWomen, WorkingInsecticides

Identifiers

PMID29242251
PMCPMC5752607
OpenAlexW2773424150

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.