Evidence map›Paper›PMID 33869410›Full record

ReviewFrontiers in sociology2020

Silenced Knowing: An Intersectional Framework for Exploring Black Women's Health and Diasporic Identities.

Laura Serrant

Abstract readReview
In one paragraph

Review in Frontiers in sociology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
–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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. The Experience of Women From Underrepresented Groups With Urinary Incontinence: A Systematic Review.Journal of transcultural nursing : official journal of the Transcultural Nursing Society · 2023
    Pooled it
  2. Pooled it
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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

1 author.

Laura SerrantFaculty of Health, Psychology and Social Care, Manchester Metropolitan University, Manchester, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the needs of Black women within a cultural and medical framework which recognizes the impact on health and well-being on the spaces where culture, health, and expectation intersect remains a challenge. In the UK, Black women are often more likely to have poor prognosis, worse outcomes and greater morbidity from treatable and preventable health conditions than their white peers. UK researchers have struggled to find a culturally appropriate safe methodological framework to help explore the challenges faced by Black women and their families in safeguarding their health, particularly around sensitive issues such as sexual and reproductive health. This article presents a relatively new intersectional framework which has been use for conducting health research on culturally sensitive health issues. The Silences Framework introduces the notion of "Screaming Silences." Screaming Silences (or Silences) reflect the unsaid or unshared aspects of how beliefs, values and experiences of (or about) some groups affect their health and life chances. The article will explore how, the framework aligns with existing Intersectional approaches and how it could be used to expose intersectional nature of issues which influence and inform both individual and group understandings Black Women's health using examples relating to sexual health and life chances for Black women in the Diaspora.

Indexed as

Black women's sexual and reproductive healthdiaspora researchintersectionalitymarginalized perspectivesScreaming SilencesThe Silences Framework

Identifiers

PMID33869410
PMCPMC8022544

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.