Evidence map›Paper›PMID 35959957›Full record

ArticleJournal of global health2022

Gender and the impact of COVID-19 on demand for and access to health care: Intersectional analysis of before-and-after data from Kenya, Nigeria, and South Africa.

Safa Abdalla, Elizabeth G Katz, Angela Hartley, Gary L Darmstadt

Open access · goldAbstract read
In one paragraph

Article in Journal of global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

9 citing papers in PubMed, 12 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

4 authors at 2 institutions in 1 country.

Safa Abdalla
Elizabeth G Katz
Angela Hartley
Gary L Darmstadt
Equality Now · USStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Global health emergencies can impact men and women differently due to gender norms related to health care and social and economic disruptions. We investigated the intersectionality of gender differences of the impact of COVID-19 on health care access with educational and socio-economic factors in Kenya, Nigeria, and South Africa. Methods: Data were collected by Opinion Research Business International using census data as the sampling frame. We used conditional logistic regression to estimate the change in access to health care after the emergence of the pandemic among men and women, stratified by educational level. We also examined the change in demand for various health care services, stratified by self-reported experiences of financial difficulty due to the pandemic. Results: Among those reporting a need to seek health care in South Africa, there was a statistically significant decline in the ability to see a health care provider during the pandemic among women, but not among men; this gender gap was more evident in those who did not have post-secondary education (odds ratio (OR) = 0.08, P = 0.041 among women; no change among men) than for those with post-secondary education (OR = 0.20, P = 0.142 among women; OR = 0.50, P = 0.571 among men). South African women financially affected by the pandemic had a significant decline in seeking preventive care during the pandemic (OR = 0.23, P = 0.022). No conclusive effects were noted in Nigeria or Kenya. Conclusions: In South Africa, the pandemic and its strict control measures have adversely and disproportionately impacted disadvantaged women, which has implications for the nature of the long-term impact as well as mitigation and preparedness plans.

Indexed as

COVID-19Health Services AccessibilityFemaleHumansKenyaMaleNigeriaSouth Africa

Identifiers

PMID35959957
PMCPMC9373834
OpenAlexW4297273432

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.