Evidence map›Paper›PMID 41299652›Full record

ArticleInternational journal for equity in health2025

Assessing health disparities faced by female paid domestic workers in Peru before, during, and after the COVID-19 pandemic.

David Vera-Tudela, Maria Kathia Cárdenas, Ramón Díaz, Christopher Meaney, María Lazo-Porras, Viviana Cruzado, Archna Gupta, Janeth Tenorio-Mucha

Abstract read
In one paragraph

Article in International journal for equity in health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Trends and Factors Associated with the Non-Use of Formal Health Services in Peru, 2015-2024.International journal of environmental research and public health · 2026
    Article
  3. Article
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.

David Vera-TudelaUniversidad Peruana Cayetano Heredia , Lima, Peru. david.vera.tudela@upch.pe.ORCID 0009-0003-7580-4118
Maria Kathia CárdenasCRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru.ORCID 0000-0002-3173-9284
Ramón DíazUniversidad Peruana Cayetano Heredia , Lima, Peru.ORCID 0000-0003-1676-3881
Christopher MeaneyDepartment of Family and Community Medicine, University of Toronto, Toronto, Canada.ORCID 0000-0002-5429-5233
María Lazo-PorrasCRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru.ORCID 0000-0003-0062-5476
Viviana CruzadoPontificia Universidad Católica del Perú, Lima, Peru.
Archna GuptaDepartment of Family and Community Medicine, University of Toronto, Toronto, Canada.ORCID 0000-0001-5915-7609
Janeth Tenorio-MuchaCRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru.ORCID 0000-0003-2837-5149

Funding

CIHR 11020-001International Development Research Centre 11020-001Social Sciences and Humanities Research Council 11020-001
6 · The paper itself

Abstract

backgroundFemale paid domestic workers are among the most vulnerable occupational groups globally, often lacking formal social protection and limited labour rights. The COVID-19 pandemic may have exacerbated these vulnerabilities, yet quantitative evidence from low and middle income countries is scarce. This study examines health disparities in Peru between female paid domestic workers and females employed in the formal service sector before, during, and after the pandemic.

methodsWe used pooled cross sectional data from the Peruvian National Household Survey (ENAHO, 2018-2023). The primary outcomes were self reported illness symptoms and healthcare seeking behaviour. We compared female paid domestic workers to female formal workers in other service occupations-including both personal and nonpersonal services-across three time periods: prepandemic (January 2018 - February 2020), pandemic (March 2020 - October 2022), and postpandemic (November 2022 - December 2023). Analyses involved comparing differences in proportions and conducting Wald tests. We also stratified results by key social determinants of health, including education, ethnicity, age, income, chronic disease status, household head status, and access to labour rights.

resultsFemale paid domestic workers reported more illness symptoms and sought less healthcare than females working in nonpersonal service roles, especially during the pandemic. The difference in proportions - 5.9 percentage points (pp.) for illness symptoms and 16.5 pp. for healthcare-seeking behaviour- became smaller after one year. There were no significant differences when comparing female paid domestic workers to other personal service workers. Stratified results indicated that outcome differences between female paid domestic workers and female working in non-personal services were wider among household heads, those with chronic conditions, and those with limited access to labour rights. Post-pandemic disparities were especially pronounced among younger females, low-wage earners, and those with less education.

conclusionIn Peru, female paid domestic workers experienced persistent health disadvantages before, during, and after the COVID-19 pandemic when compared with females with formal employment. Addressing these disparities requires comprehensive policies that promote formalization and social security coverage to advance progress on Sustainable Development Goal 3.

Indexed as

COVID-19Health Status DisparitiesHousehold WorkPatient Acceptance of Health CareWomen, WorkingAdolescentAdultCross-Sectional StudiesFemaleHumansMiddle AgedPandemicsPeruSARS-CoV-2Young AdultCOVID-19Domestic workersHealth inequalitiesHealth services accessibilityPeruSocial determinants of healthWomen’s health

Identifiers

PMID41299652
PMCPMC12661671

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LicenceCC BY
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Registered trials

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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.