Evidence map›Paper›PMID 36581410›Full record

ArticleBMJ open2022

Protocol for a scoping review of measures and definitions of gender-based discrimination linked to health outcomes in low and middle-income countries.

Laurène Petitfour, Swati Srivastava, Rupal Shah-Rohlfs, Clara Orduhan, Wilm Quentin, Manuela De Allegri

Abstract read
In one paragraph

Article in BMJ open, 2022. 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
–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

2 citing papers in PubMed.

  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

6 authors.

Laurène PetitfourHeidelberg Institute of Global Health, University Hospital and Medical Faculty, Heidelberg University, Heidelberg, Germany laurene.petitfour@uni-heidelberg.de.ORCID 0000-0002-9022-765X
Swati SrivastavaHeidelberg Institute of Global Health, University Hospital and Medical Faculty, Heidelberg University, Heidelberg, Germany.
Rupal Shah-RohlfsHeidelberg Institute for Global Health, Heidelberg University, Heidelberg, Germany.
Clara OrduhanHealth Care Management, Tech Univ Berlin, Berlin, Germany.
Wilm QuentinHealth Care Management, Tech Univ Berlin, Berlin, Germany.
Manuela De AllegriHeidelberg Institute of Global Health, University Hospital and Medical Faculty, Heidelberg University, Heidelberg, Germany.ORCID 0000-0002-8677-1337

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGender-based discrimination (GBD) is generally defined as unequal or disadvantageous treatment based on one's gender. Emerging evidence suggests that exposure to GBD in its various forms can yield negative consequences for women's health, including delaying access to healthcare services and lowering the quality of nutrition. Although consensus exists around the theoretical definitions of GBD, current studies are limited on how to measure GBD empirically in order to assess its true impact on women's health. Our mixed-methods scoping review aims at synthesising existing evidence by answering the question METHODS AND ANALYSIS: Our mixed-method scoping review includes quantitative, qualitative and mixed-methods studies and unfolds according to the six stages proposed by Levac ETHICS AND DISSEMINATION: Since our scoping review relies exclusively on information extracted from published articles, its conduct is not subjected to ethical clearance. Results will be described and discussed in a peer-reviewed article and presented at relevant workshops and conferences.

Indexed as

Developing CountriesWomen's HealthFemaleHumansOutcome Assessment, Health CareResearch DesignScoping Reviews as Topichealth economicshealth policypublic health

Identifiers

PMID36581410
PMCPMC9806049

What OpenQuestion holds

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LicenceCC BY-NC
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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.