Evidence map›Paper›PMID 23601509›Full record

ArticleBMC public health2013

Determinants of better health: a cross-sectional assessment of positive deviants among women in West Bengal.

Katelyn Ng Long, Lisa H Gren, Chris A Rees, Joshua H West, Parley Cougar Hall, Bobbi Gray, Benjamin T Crookston

Abstract read
In one paragraph

Article in BMC public health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Uptake of Skilled Maternal Healthcare in Ethiopia: A Positive Deviance Approach.International journal of environmental research and public health · 2020
    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

7 authors.

Katelyn Ng LongDepartment of Family and Preventive Medicine, University of Utah, Salt Lake City, UT, USA. katelyn.noel.long@gmail.com
Lisa H Gren
Chris A Rees
Joshua H West
Parley Cougar Hall
Bobbi Gray
Benjamin T Crookston

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRural women in West Bengal have been found to have low rates of formal education, poor health knowledge, high rates of malnutrition and anemia, and low levels of empowerment. Despite these difficult circumstances, some women have positive health outcomes compared to women with similarly disadvantaged backgrounds. The purpose of this study is to identify factors associated with positive health outcomes among women with primary education or less.

methodsMultivariable regression models were built for outcomes of positive deviance to better characterize the factors in a woman's life that most impact her ability to deviate from the status quo.

resultsPositive deviants in this context are shown to be women who are able to earn an income, who have access to information through media sources, and who, despite little schooling, have marginally higher levels of formal education that lead to improved health outcomes.

conclusionsStudy findings indicate that positive deviant women in disadvantaged circumstances can achieve positive outcomes amidst a host of contextual barriers that would predict poor health outcomes. Focusing on areas such as enhancing access to media sources, facilitating self-help groups for married women, and promoting prolonged education and delayed marriage for girls may improve health knowledge and behavior among married women with low levels of education.

Indexed as

Health Knowledge, Attitudes, PracticeHealth StatusWomen's HealthAdolescentAdultCross-Sectional StudiesEducational StatusFamily CharacteristicsFemaleHumansIndiaMarital StatusMiddle AgedSelf-Help GroupsYoung Adult

Identifiers

PMID23601509
PMCPMC3637192

What OpenQuestion holds

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LicenceCC BY
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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.