Evidence map›Paper›PMID 39052614›Full record

ArticlePloS one2024

Developing and validating the Nepalese Abuse Assessment Screen (N-AAS) for identifying domestic violence among pregnant women in Nepal.

Pratibha Manandhar, Pratibha Chalise, Poonam Rishal, Jacquelyn Campbell, Lena Henriksen, Jennifer Jean Infanti, Sunil Kumar Joshi, Mirjam Lukasse, Kunta Devi Pun, Berit Schei and 2 more

Abstract readValidation Study
In one paragraph

Article in PloS one, 2024. 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
–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

4 citing papers in PubMed.

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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

12 authors.

Pratibha ManandharFaculty of Medicine and Health Sciences, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway.ORCID https://orcid.org/0000-0003-2071-1347
Pratibha ChaliseFaculty of Medicine and Health Sciences, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway.
Poonam RishalFaculty of Medicine and Health Sciences, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway.
Jacquelyn CampbellSchool of Nursing, Johns Hopkins University School of Nursing, Baltimore, Maryland, United States of America.
Lena HenriksenFaculty of Health Sciences, Department of Nursing and Health Promotion, Oslo Metropolitan University, Oslo, Norway.
Jennifer Jean InfantiFaculty of Medicine and Health Sciences, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway.
Sunil Kumar JoshiDepartment of Community Medicine, Kathmandu Medical College Public Limited (KMC), Kathmandu, Nepal.
Mirjam LukasseFaculty of Health and Social Sciences, Center for Women's, Family and Child Health, University of South-Eastern Norway, Kongsberg, Norway.
Kunta Devi PunDepartment of Nursing and Midwifery, Kathmandu University School of Medical Sciences (KUSMS), Dhulikhel, Nepal.
Berit ScheiFaculty of Medicine and Health Sciences, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway.
Katarina SwahnbergFaculty of Health and Life Sciences, Department of Health and Caring Sciences, Linnaeus University, Kalmar, Sweden.
ADVANCE 2 study team

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study culturally adapted and validated a Nepalese version of the Abuse Assessment Screen (AAS) tool for identifying domestic violence among pregnant women in Nepal, creating the Nepalese Abuse Assessment Screen (N-AAS). International and national topic experts reviewed the initial N-AAS version using the Delphi method, and pregnant women participated in cognitive interviews, providing feedback on the N-AAS as user experts. Subsequent pre-testing of a comprehensive questionnaire, which included the translated version of the N-AAS, occurred in two tertiary care hospitals using an electronic format known as Color-Coded Audio Computer-Assisted Self-Interview (C-ACASI). The study assessed the content validity index, compared the concurrent validity of the N-AAS with the gold standard interview, estimated the prevalence of domestic violence from two hospitals, and calculated the Kappa coefficient. The reliability of the entire questionnaire was also evaluated through a test-retest analysis, with content validity rated as "good to excellent" by topic and user experts and high test-retest reliability (91.2-98.9%), indicating consistency across questionnaires completed at two different time points, with 12% of participants reporting any form of violence. The N-AAS demonstrated ≥91.7% specificity for all forms of abuse, accurately identifying non-abuse cases. In addition, moderate to excellent sensitivity was observed for emotional abuse (52.5%) and physical abuse since marriage (50%), while sensitivity for physical abuse in the past 12 months was 100%. Thus, the N-AAS demonstrated reliable test-retest results with a good Kappa coefficient and specificity, as well as showing excellent sensitivity for detecting recent physical abuse and moderate sensitivity for detecting emotional abuse and physical abuse since marriage. Because cultural context often leads women to normalize and tolerate abuse from spouses and family members and women are thus reluctant to report abuse, the results imply that the N-AAS can serve as a valuable screening tool for domestic abuse in antenatal care settings in Nepal.

Indexed as

Domestic ViolenceAdultFemaleHumansMass ScreeningNepalPregnancyPregnant PeoplePrevalenceReproducibility of ResultsSurveys and QuestionnairesYoung Adult

Identifiers

PMID39052614
PMCPMC11271870

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.