Evidence map›Paper›PMID 36754854›Full record

ArticleJournal of midwifery & women's health2023

Midwives' and Other Perinatal Health Workers' Perceptions of the Black Maternal Mortality Crisis in the United States.

Melva Craft-Blacksheare, Peggy Kahn

Open access · hybridAbstract read
In one paragraph

Article in Journal of midwifery & women's health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. 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

2 authors at 1 institution in 1 country.

Melva Craft-BlacksheareSchool of Nursing, University of Michigan-Flint, Flint, Michigan.ORCID 0000-0002-6026-6703
Peggy KahnDepartment of Political Science, University of Michigan-Flint, Flint, Michigan.
University of Michigan–Flint · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis study aimed to identify how perinatal health workers, especially midwives, explained US Black maternal mortality and morbidity and what ameliorative measures they suggested across categories of primary social determinants, health care access, and provider practices.

methodsUsing a mixed closed-ended and open-ended researcher-designed exploratory survey, 227 perinatal health workers responded to a series of questions probing views of causation and strategies for improvement. The closed-ended responses were summarized. Open-ended responses were analyzed using basic categorical and thematic coding.

resultsPerinatal health workers' responses prominently identified racism as a cause of Black maternal morbidity and mortality, and their recommendations ranged across levels of social determination of health. DISCUSSION: Results suggest that the views of perinatal health workers, the majority of whom were midwives, are complex and correspond to the problems and solutions identified in the research literature. Midwives and other perinatal health workers are well positioned to help center health equity in perinatal care, through both clinical practice and policy advocacy.

Indexed as

MidwiferyNurse MidwivesChildFemaleHumansInfant, NewbornMaternal MortalityPerinatal CarePregnancySurveys and QuestionnairesUnited StatesBlack maternal mortalitymidwivesracesocial determinants of health

Identifiers

PMID36754854
PMCPMC10099225
OpenAlexW4309548311

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.