Evidence map›Paper›PMID 37361176›Full record

SynthesisFrontiers in public health2023

Gender dimensions of health-related challenges among urban poor during COVID-19 pandemic in low-and middle-income countries: a systematic review and gap analysis.

Krushna Chandra Sahoo, Sapna Negi, Pranab Mahapatra, Kajal Samantaray, Girish Chandra Dash, Shubhankar Dubey, Mili Roopchand Sahay, Rakesh Kumar Sahoo, Debdutta Bhattacharya, Banamber Sahoo and 3 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

13 authors at 4 institutions in 2 countries.

Krushna Chandra SahooHealth Technology Assessment in India, Indian Council of Medical Research (ICMR)-Regional Medical Research Centre, Bhubaneswar, Odisha, India.
Sapna NegiHealth Technology Assessment in India, Indian Council of Medical Research (ICMR)-Regional Medical Research Centre, Bhubaneswar, Odisha, India.
Pranab MahapatraDepartment of Psychiatry, Kalinga Institute of Medical Sciences, Bhubaneswar, Odisha, India.
Kajal SamantarayHealth Technology Assessment in India, Indian Council of Medical Research (ICMR)-Regional Medical Research Centre, Bhubaneswar, Odisha, India.
Girish Chandra DashHealth Technology Assessment in India, Indian Council of Medical Research (ICMR)-Regional Medical Research Centre, Bhubaneswar, Odisha, India.
Shubhankar DubeyHealth Technology Assessment in India, Indian Council of Medical Research (ICMR)-Regional Medical Research Centre, Bhubaneswar, Odisha, India.
Mili Roopchand SahayHealth Technology Assessment in India, Indian Council of Medical Research (ICMR)-Regional Medical Research Centre, Bhubaneswar, Odisha, India.
Rakesh Kumar SahooHealth Technology Assessment in India, Indian Council of Medical Research (ICMR)-Regional Medical Research Centre, Bhubaneswar, Odisha, India.
Debdutta BhattacharyaHealth Technology Assessment in India, Indian Council of Medical Research (ICMR)-Regional Medical Research Centre, Bhubaneswar, Odisha, India.
Banamber SahooHealth Technology Assessment in India, Indian Council of Medical Research (ICMR)-Regional Medical Research Centre, Bhubaneswar, Odisha, India.
Subhada Prasad PaniIndependent Consultant, Bhubaneswar, India.
Mariam Otmani Del BarrioUNICEF/UNDP/World Bank/WHO Special Programme for Research and Training in Tropical Diseases (TDR), World Health Organization, Geneva, Switzerland.
Sanghamitra PatiHealth Technology Assessment in India, Indian Council of Medical Research (ICMR)-Regional Medical Research Centre, Bhubaneswar, Odisha, India.
Indian Council of Medical Research · INRegional Medical Research Centre · INAll India Institute of Medical Sciences Bhubaneswar · INWorld Health Organization · CH

Funding

World Health Organization 001
6 · The paper itself

Abstract

The COVID-19 pandemic has varying effects on men, women, and the transgender population. However, there is a paucity of systematic evidence on how gender and other social determinants of health during COVID-19 are affected in resource constraint urban settings. This review describes the gender dimensions of health-related challenges among the urban poor during COVID-19 in LMICs. We searched 11 scholarly online repositories including PubMed, Embase, Web of Science, CINAHL using the domain "slums," "COVID-19", "LMICs" and "gender identities." We used thematic framework analysis to synthesize qualitative data, and meta-analysis to determine the pooled prevalence. We registered in PROSPERO (CRD42020203783). We identified 6490 records, and 37 articles included. The studies reported stress among 74% women and 78% men, depression among 59% women and 62% men, and anxiety among 79% women and 63% men. Men had more stress than women during COVID-19; men are primarily responsible for household sustenance. Women had more anxiety than men, possibly because they are often the primary caregivers for children and the older population. While the severity varies according to gender identity, their vulnerability mostly related to their literacy and economy, highlighting the significance of including all social determinants in future primary studies. Systematic review registration: https://www.crd.york.ac.uk/prospero/#recordDetails.

Indexed as

COVID-19Gender IdentityChildDeveloping CountriesFemaleHumansMalePandemicsVulnerable PopulationsgenderinequitiesLMICspandemicsexurban poor

Identifiers

PMID37361176
PMCPMC10288984
OpenAlexW4380083191

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.