Evidence map›Paper›PMID 38099272›Full record

ArticleFrontiers in global women's health2023

A qualitative study to understand sociocultural beliefs around perinatal and neonatal health in rural areas of Mohali, Punjab, India.

Alka Ahuja, Mona Duggal, Jane Y Liu, Preetika Sharma, Darshan Hosapatna Basavarajappa, Rashmi Bagga, Alison M El Ayadi, Ankita Kankaria, Vijay Kumar, Pushpendra Singh and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in global women's health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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

11 authors at 6 institutions in 2 countries.

Alka AhujaDepartment of Obstetrics and Gynecology, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Mona DuggalAdvanced Eye Centre, Post-Graduate Institute of Medical Education and Research, Chandigarh, India.
Jane Y LiuSchool of Public Health, University of California Berkeley, Berkeley, CA, United States.
Preetika SharmaAdvanced Eye Centre, Post-Graduate Institute of Medical Education and Research, Chandigarh, India.
Darshan Hosapatna BasavarajappaDepartment of Obstetrics and Gynecology, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Rashmi BaggaDepartment of Obstetrics and Gynecology, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Alison M El AyadiDepartment of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, San Francisco, CA, United States.
Ankita KankariaDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Bathinda, India.
Vijay KumarSurvival for Women and Children Foundation, Panchkula, India.
Pushpendra SinghDepartment of Computer Science and Engineering, Indraprastha Institute of Information Technology, Delhi, India.
Nadia G Diamond-SmithDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States.
Post Graduate Institute of Medical Education and Research · INUniversity of California, San Francisco · USAll India Institute of Medical Sciences · INFistulacure · INIndraprastha Institute of Information Technology Delhi · INUniversity of California, Berkeley · US

Funding

Development and Pilot Test of an mHealth Interactive Education and Social Support Intervention for Improving Postnatal HealthR21HD101786 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DIAMOND-SMITH, NADIA GRIFFI, EL AYADI, ALISON M · 2020 to 2021
$401k
NICHD NIH HHS R21 HD101786
6 · The paper itself

Abstract

Introduction: Globally, 600,000 mothers (15-49 years) die every year due to pregnancy and childbirth-related complications. Wide variations are seen in cultural practices and beliefs surrounding this period of a woman's life. The present study explores the cultural beliefs and practices of women and families during pregnancy and the postnatal period in order to understand what behavioral management strategies are required to improve maternal and infant outcomes during pregnancy and the postpartum period. Methods: The study was conducted in a rural area of Punjab, from December 2019 to March 2021. A total of 20 women (up to 3 months postpartum, age >18 years, were interviewed. Results: In general, women described eating varied and fairly healthy diets during pregnancy, especially nutritious warm food, following traditional practices. Other cultural practices included restrictions on movement and mobile phone use and the use of unsafe home remedies to promote infant safety and wellbeing, such as using gripe water, applying black pencil to the baby's eyes, and feeding the baby honey. A few were not inclined to engage with these and other cultural expectations, preferring instead to follow contemporary practices influenced by social media. These practices included being accompanied by a family member during delivery, celebrating the baby's birth regardless of sex, and early bathing post-delivery. Discussion: It can be concluded that while many traditional practices are still followed in India, there are new beliefs and behaviors arising from an intersection between culture and technology. Developing strategies that acknowledge older beliefs and modern approaches is essential to promoting better antenatal and postpartum care.

Indexed as

beliefschild healthpostpartumpracticespregnancysociocultural

Identifiers

PMID38099272
PMCPMC10720706
OpenAlexW4389226173

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.