Evidence map›Paper›PMID 40083423›Full record

ArticlePublic health in practice (Oxford, England)2025

The imperative for universal screening of domestic violence: Social determinants of health disparities during COVID-19 within New Jersey.

Kelly L Budge, Sameeha Shaikh, Mirai Mikhail, Cassandra Bakus, Sabrina LaRosa, Chinwe Ogedegebe, Antonia F Oladipo

Abstract read
In one paragraph

Article in Public health in practice (Oxford, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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.

Kelly L BudgeHackensack Meridian School of Medicine, Nutley, NJ, 07110, USA.
Sameeha ShaikhHackensack Meridian School of Medicine, Nutley, NJ, 07110, USA.
Mirai MikhailHackensack Meridian School of Medicine, Nutley, NJ, 07110, USA.
Cassandra BakusHackensack Meridian School of Medicine, Nutley, NJ, 07110, USA.
Sabrina LaRosaHackensack Meridian School of Medicine, Nutley, NJ, 07110, USA.
Chinwe OgedegebeHackensack Meridian School of Medicine, Nutley, NJ, 07110, USA.
Antonia F OladipoHackensack Meridian School of Medicine, Nutley, NJ, 07110, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: It is recognized that stressors encountered during the COVID-19 pandemic created an environment that exacerbated DV. COVID disproportionately impacted at-risk populations, but it is unclear if these social determinants of health disparities similarly impact the incidence of DV. This study aimed to identify and highlight affected communities within the state of New Jersey (NJ) that were disproportionately affected by domestic violence (DV) during the COVID-19 pandemic. Study design: The study design was retrospective cross-sectional. Methods: Public data from the NJ Department of Health, Department of Law and Public Safety, and US Census were compared. Community factors, DV incidence, and COVID rates were analyzed using a Results: NJ COVID-19 Incidence rates significantly correlated with varied populations based on socioeconomic status, race, and ethnicity. The median incidence of DV per county population significantly increased from 0.55 % in 2019 to 0.63 % in 2020 (p = 0.03). However, DV incidence was not correlated with rates of COVID-19 per county (p = 0.25). Race and ethnicity did not correlate with DV rates (White, p = 0.06; Black, p = 0.11; 2+ races, 0.14; Hispanic, p = 0.55) except for Asian populations (p = 0.01). Some socioeconomic factors did correlate with DV (unemployment, p = 0.04; median household income, p = 0.003); poverty did not (p = 0.11). Conclusion: NJ experienced a surge in DV rates during the pandemic that cut across communities of all racial and ethnic backgrounds, in contrast to the more unequal impact of COVID-19 incidence. Findings highlight the importance of screening for DV in times of societal distress to clinicians, researchers, and policymakers.

Indexed as

COVID-19Domestic violenceHealth inequitiesPandemicSocial determinants of health

Identifiers

PMID40083423
PMCPMC11903835

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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.