Evidence map›Paper›PMID 37025236›Full record

ArticleJournal of family medicine and primary care2023

Intimate partner violence in India: Need for renewed corollary during COVID-19 pandemic.

Kumbha Gopi, Deb Kumar Pal, Manish Taywade, Bimal Kumar Sahoo

Open access · goldAbstract readEditorial
In one paragraph

Article in Journal of family medicine and primary care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Intimate Partner Violence and Mental Health Problems in Married Women in Rural Central India: A Community-based Cross-sectional Study.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    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

4 authors at 1 institution in 1 country.

Kumbha GopiDepartment of Community Medicine and Family Medicine, AIIMS, Bhubaneswar, Odisha, India.
Deb Kumar PalDepartment of Community Medicine and Family Medicine, AIIMS, Bhubaneswar, Odisha, India.
Manish TaywadeDepartment of Community Medicine and Family Medicine, AIIMS, Bhubaneswar, Odisha, India.
Bimal Kumar SahooDepartment of Community Medicine and Family Medicine, AIIMS, Bhubaneswar, Odisha, India.
All India Institute of Medical Sciences Bhubaneswar · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intimate partner violence (IPV) is considered any type of behavior involving the premeditated use of physical, emotional, or sexual force between two people in an intimate relationship. The prevalence of health-seeking attitude towards IPV in India is very low among victims affected by it. The chances of facing violence or even in their maternal life were substantially high among women having lesser education or without any financial empowerment. Data have been quite supportive whenever elevated odds of risk of experiencing controlling behavior from their spouses were concerned. Safety strategies for violence programming could increase monitoring and evaluation efforts to reduce violence. Women with vulnerabilities like being marginalized, least resourced, and disabled are likely to suffer violence in an intimate relationship. Primary care physicians have a definitive role and involvement of other stakeholders like ward members and self-help groups to mitigate such occurrences.

Indexed as

COVID-19intimate partner violencewomen

Identifiers

PMID37025236
PMCPMC10071919
OpenAlexW4321124271

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.