Evidence map›Paper›PMID 36242801›Full record

ArticleSocial science & medicine (1982)2022

Professional competition amidst intractable maternal mortality: Midwifery in rural Pakistan during the COVID-19 pandemic.

Shayzal Siddiqui, Carolyn Smith-Morris

Abstract read
In one paragraph

Article in Social science & medicine (1982), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Shayzal SiddiquiSouthern Methodist University, 3225 Daniel Blvd., Dept. of Anthropology, Dallas, TX, 75275, USA.
Carolyn Smith-MorrisSouthern Methodist University, 3225 Daniel Blvd., Dept. of Anthropology, Dallas, TX, 75275, USA. Electronic address: smithmor@smu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low-income countries with intransigent maternal mortality rates often follow WHO guidelines that prioritize access to skilled, or professionalized, prenatal and birthing care. Yet the impact of these initiatives in areas still suffering high maternal mortality is opaque. Despite heavy and long investments, the professionalization of midwifery in Pakistan is incomplete, and declines in maternal mortality have plateaued. Traditional midwives have lost status, but they continue to see clients and have influence in their rural communities. We conducted a rapid ethnography among traditional midwives (Dais) and trained Lady Health Workers (LHWs) in two communities of Attock, Pakistan from May to July of 2020. Our findings underscore the importance of long-term presence and trust to maternal care, especially in conditions of resource scarcity or fear (e.g., fear of COVID). We provide evidence of overt disparagement of Dais by LHWs; (2) illustration of the conflicts between gender norms and biomedical priorities of hospitalized births; and (3) exacerbated fear of hospitals during COVID, which served to highlight the advantages of Dai care. Professionalization programs for midwifery must include structures and training to ensure collaborative communications across the country's midwives. Failure to respect the rational decisions of traditional midwives and their patients in circumstances of scarcity, high stress, and isolation only ignores the material and cultural conditions of these vulnerable communities.

Indexed as

COVID-19Maternal Health ServicesMidwiferyFemaleHumansMaternal MortalityPakistanPandemicsPregnancyRural PopulationCompetitionLady health workersMidwiferyPakistanProfessionalization

Identifiers

PMID36242801
PMCPMC9549742

What OpenQuestion holds

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Registered trials

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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.