Evidence map›Paper›PMID 41049916›Full record

ArticleCureus2025

Exploring Positive Deviant Behaviors Among High-Risk Pregnant Women With Different Birth Outcomes: A Qualitative Study From Palwal, India.

Sonia Maurya, Krati Dixit, Shahil Attri, Reema Mukherjee, Vinod K Anand, Sarmila Mazumder, Barsha Gadapani Pathak

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. 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

7 authors.

Sonia MauryaImplementation Science, Society for Applied Studies, New Delhi, IND.
Krati DixitImplementation Science, Society for Applied Studies, New Delhi, IND.
Shahil AttriImplementation Science, Society for Applied Studies, New Delhi, IND.
Reema MukherjeeCommunity Medicine, Indian Council of Medical Research (ICMR), New Delhi, IND.
Vinod K AnandImplementation Science, Society for Applied Studies, New Delhi, IND.
Sarmila MazumderImplementation Science, Society for Applied Studies, New Delhi, IND.
Barsha Gadapani PathakImplementation Science, Society for Applied Studies, New Delhi, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction India has set the goals to reduce stillbirths (SBs) and neonatal deaths by 2030. However, despite continued efforts to improve maternal health, these adverse outcomes remain a concern in many regions. This highlights the importance of identifying strategies that are both community-acceptable and sustainable. This study explores positive deviant (PD) practices among pregnant women who, despite high-risk pregnancies (HRPs), achieved healthy birth outcomes - unlike many of their peers. Methods This qualitative exploratory study was conducted to explore PD practices among HRP women in Palwal district, Haryana, India. It focused on identifying what enabled some of these women to achieve positive birth outcomes, in contrast to their peers who experienced SB or early neonatal death (END). A total of 28 in-depth interviews (IDIs) were conducted with women with HRPs, categorized as women with live births (LBs) (N = 14), SBs (N = 9), and ENDs (N = 5). Data were analyzed thematically using Colaizzi's seven-step method, and emerging themes were further interpreted using the "Theory of Planned Behavior" (TPB) framework to explore the role of individual attitudes, subjective norms, and perceived behavioral control in shaping maternal health behaviors. Results The PD women reported proactive health-seeking behavior, balanced nutrition, culturally rooted physical activity, and safe sleep positions, often supported by Accredited Social Health Activists (ASHAs), husbands, and family members. In contrast, women with SB or END outcomes faced delays, adverse traditional practices, partial information, and barriers in healthcare seeking. Family dynamics - especially the influence of mothers-in-law - strongly shaped decision-making around diet, supplements, and place of delivery. Higher perceived behavioral control enabled some women to navigate constraints and seek timely care. Discussion The findings highlight broader health and well-being challenges faced by pregnant women in low-resource settings. Physical vulnerabilities were often heightened by emotional stress, limited autonomy, and lack of support. Despite these challenges, some women showed agency by prioritizing their health and seeking timely care. These PD women adopted practices such as balanced nutrition, early antenatal care (ANC), and culturally accepted behaviors that contributed to healthy outcomes. Their actions offer valuable lessons that can be promoted through community awareness campaigns and health education materials. This study suggests the need for an integrated approach beyond physical care, including mental health support, respectful communication, and active family and community engagement. Conclusion To reduce preventable SBs in low-resource settings, maternal health interventions must go beyond clinical care to foster family-inclusive, culturally sensitive, and psychosocially supportive environments. Strengthening health worker capacities, aligning traditional practices with evidence-based care, and empowering women with accurate information, emotional support, and greater control over health choices are essential to promote positive health-seeking behavior.

Indexed as

adequate antenatal careearly neonatal deathharyanahealth-seeking behaviorhigh-risk pregnancyindiapositive deviance approachstillbirth

Identifiers

PMID41049916
PMCPMC12495533

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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.