Evidence map›Paper›PMID 41129817›Full record

ArticleJournal of medical Internet research2025

Sociotechnical Challenges in Implementing Domestic Violence Screening via Telehealth and In-Person Care: Qualitative Study on Clinicians' Perspectives.

Diana Freed, Marianne Sharko, Royoung Kim, Kelly Bartlett, Ermira Uldedaj, Natalie Bazarova, Lauri Goldkind

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Diana Freed *Department of Computer Science, Brown University, Providence, RI, United States.ORCID https://orcid.org/0000-0001-5262-4147
Marianne Sharko *Population Health Sciences, Weill Cornell Medical College, New York, NY, United States.ORCID https://orcid.org/0000-0002-1103-7525
Royoung KimPopulation Health Sciences, Weill Cornell Medical College, New York, NY, United States.ORCID https://orcid.org/0000-0002-8698-800X
Kelly BartlettNew York Medical College, Valhalla, NY, United States.ORCID https://orcid.org/0000-0001-6672-7702
Ermira UldedajNew York City Mayor's Office to End Domestic and Gender-Based Violence, New York, NY, United States.ORCID https://orcid.org/0000-0002-1632-702X
Natalie BazarovaCornell University, Ithaca, NY, United States.ORCID https://orcid.org/0000-0001-5375-6598
Lauri GoldkindGraduate School of Social Service, Fordham University, New York, NY, United States.ORCID https://orcid.org/0000-0002-0967-3960

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNew York State Public Health Law Section 2805-z (NYSPHL§2805-z) mandates that hospitals implement certain protocols for the identification of domestic violence (DV) to strengthen support for DV survivors. However, there are challenges within our current health care delivery settings that raise critical questions about the effectiveness and adaptability of mandated policies for DV screening. The COVID-19 pandemic significantly accelerated the adoption of telehealth services, leading to the widespread use of combined telehealth and in-person clinical care. This shift has brought challenges associated with implementing the mandated DV screening protocols.

objectiveThis study aimed to explore the challenges health care providers face in implementing DV screening that complies with NYSPHL§2805-z to support effective screening practices. Considering both the telehealth and in-person environment, we aimed to identify the challenges that health care providers face in meeting policy requirements, with a focus on the technical, environmental, and social factors impeding effective DV screening. We also explored potential sources of support to address these challenges. This study sought to provide actionable insights for enhancing policy implementation and improving care for DV survivors.

methodsWe conducted interviews with health care professionals-nurses, social workers, and physicians-across New York City involved in DV screening. These interviews were analyzed using an adapted version of the Centers for Disease Control and Prevention sociotechnical model to understand how policy, organizational structures, and individual practices intersect and impact the effectiveness of DV screening, especially in telehealth settings.

resultsOur findings revealed gaps in awareness of the policy and inconsistent DV screening processes. Through our interviews, we identified challenges in effective DV screening and strategies to improve the screening process. We found that the shift to telehealth introduced additional layers of complexity, with challenges in ensuring patient privacy and safety. Our findings revealed a lack of clear guidelines tailored to remote DV screenings and a need for training programs to prepare health care providers for the nuances of telehealth-based DV screening, both of which are crucial for complying with policy mandates. On the basis of this analysis, we developed a list of recommendations to support health care providers in effective screening for DV. Through user feedback, we confirmed that this list is consistent with the application of NYSPHL§2805-z among health care providers.

conclusionsAs telehealth care is increasingly becoming an integral component of health care, there is an urgent need to refine and reinforce DV screening policies and procedures designed to comply with NYSPHL§2805-z. This study highlights the importance of developing practical and consistent telehealth protocols, enhancing provider training, creating supportive workflows, allotting adequate resources, and fostering collaboration among stakeholders to ensure that DV survivors receive the care they need in both remote and in-person clinical settings.

Indexed as

Attitude of Health PersonnelDomestic ViolenceHealth PersonnelMass ScreeningTelemedicineCOVID-19FemaleHumansMaleNew YorkQualitative ResearchSARS-CoV-2clinical settingsdomestic violence screeninghealth care stakeholderspolicytelehealth

Identifiers

PMID41129817
PMCPMC12592885

What OpenQuestion holds

Textmetadata
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.