ArticleJournal of general internal medicine2022
Expert Recommendations for Designing Reporting Systems to Address Patient-Perpetrated Sexual Harassment in Healthcare Settings.
Article in Journal of general internal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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Who cites it
7 citing papers in PubMed.
- Article
- Zero Tolerance for Patient-Perpetrated Sexual Harassment.Journal of general internal medicine · 2026Article
- Approaches to preventing workplace sexual harassment of nurses or minimising its adverse consequences: a scoping review.BMC nursing · 2025Article
- Workplace harassment is associated with differences in personality traits, coping strategies and work ability: cross sectional study among healthcare professionals.Frontiers in public health · 2025Article
- "You want people to listen to you": Patient experiences of women's healthcare within the Veterans Health Administration.Health services research · 2024Article
- Prevalence and Impact of Workplace Sexual Harassment Experienced by Medical Sonographers.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2024Article
- Sexual Harassment Among Chinese Psychiatrists and Its Impact on Quality of Life: A Cross-Sectional Survey.Risk management and healthcare policy · 2024Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
backgroundPatient-perpetrated sexual harassment toward staff and patients is prevalent in Veterans Affairs and other healthcare settings. However, many healthcare facilities do not have adequate systems for reporting patient-perpetrated harassment, and there is limited evidence to guide administrators in developing them.
objectiveTo identify expert recommendations for designing effective systems for reporting patient-perpetrated sexual harassment of staff and patients in Veterans Affairs and other healthcare settings.
designWe conducted qualitative interviews with subject matter experts in sexual harassment prevention and intervention during 2019.
participantsWe used snowball sampling to recruit subject matter experts. Participants included researchers, clinicians, and administrators from Veterans Affairs/other healthcare, academic, military, and non-profit settings (n = 33). APPROACH: We interviewed participants via telephone using a semi-structured guide and analyzed interview data using a constant comparative approach. KEY
resultsExpert recommendations for designing reporting systems to address patient-perpetrated sexual harassment focused on fostering trust, encouraging reporting, and deterring harassment. Recommendations included the following: (1) promote a climate in which harassment is not tolerated; (2) take proportional, corrective actions in response to reports; (3) minimize adverse outcomes for reporting parties; (4) facilitate and simplify reporting processes; and (5) hold the reporting system accountable. Specific strategies related to each recommendation were also identified.
conclusionsThis qualitative study generated initial recommendations to guide healthcare administrators and policy makers in assessing, developing, and improving systems for reporting patient-perpetrated sexual harassment toward staff and other patients. Results indicate that proactive, careful design and ongoing evaluation are essential for ensuring that reporting systems have their intended effects and mitigating the risks of inadequate systems. Additional research is needed to evaluate strategies that effectively address patient-perpetrated harassment while balancing patients' clinical needs.
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Registered trials
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.