2021
DOI: 10.1097/acm.0000000000004513
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Associations Between Privacy-Related Constructs and Depression and Suicide Risk in Health Care Professionals, Trainees, and Students

Abstract: screens health care professionals, trainees, and students for depression and suicide risk. Individuals complete a voluntary, anonymous online screening tool and choose whether to provide personal demographic information. This study assessed the relationship between privacy-related constructs and self-rated depression and suicide risk.

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Cited by 5 publications
(5 citation statements)
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“…Physicians also experience mental health (Moutier, 2018) or substance use (Martinez et al, 2016) problems and are reluctant to seek help (Bonnie, Appelbaum, & Recupero, 2018; Center et al, 2003; Shanafelt et al, 2021). Such reluctance can be attributed to the abovementioned barriers with concerns about confidentiality being especially relevant (Rubanovich, Zisook, & Bloss, 2022). A practical intervention is to establish confidential pathways for treatment of mental illness and substance use disorders, such as the UC San Diego Healer Education Assessment and Referral program (Moutier et al, 2012; Norcross et al, 2018; Zisook et al, 2016), through which physicians can receive counseling and referral to outpatient treatment.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Physicians also experience mental health (Moutier, 2018) or substance use (Martinez et al, 2016) problems and are reluctant to seek help (Bonnie, Appelbaum, & Recupero, 2018; Center et al, 2003; Shanafelt et al, 2021). Such reluctance can be attributed to the abovementioned barriers with concerns about confidentiality being especially relevant (Rubanovich, Zisook, & Bloss, 2022). A practical intervention is to establish confidential pathways for treatment of mental illness and substance use disorders, such as the UC San Diego Healer Education Assessment and Referral program (Moutier et al, 2012; Norcross et al, 2018; Zisook et al, 2016), through which physicians can receive counseling and referral to outpatient treatment.…”
Section: Discussionmentioning
confidence: 99%
“…A practical intervention is to establish confidential pathways for treatment of mental illness and substance use disorders, such as the UC San Diego Healer Education Assessment and Referral program (Moutier et al, 2012;Norcross et al, 2018; , 2016), through which physicians can receive counseling and referral to outpatient treatment. The importance of anonymous screening to encourage engagement in health-seeking behaviors cannot be over-stated (Rubanovich et al, 2022). Furthermore, medical institutions must cultivate a sense of community at work and promote work-life integration (Shanafelt & Noseworthy, 2017).…”
Section: Discussionmentioning
confidence: 99%
“…Demographics were subjected to expert review (SDC 1, http://links.lww.com/JONA/B141). To increase a sense of safety with survey response, all survey questions were optional 24 . The 15-item Climate for Inclusion Survey 21,25 includes 3 dimensions: equitable employment practices , integration of differences , and inclusion in decision making .…”
Section: Methodsmentioning
confidence: 99%
“…We identify suicide ideation and risk detection on social media as prediction tasks which benefit from additional contextual data (Zirikly et al 2019;Sawhney et al 2021), with the need to protect private and sensitive data (Huckvale, Torous, and Larsen 2019;Rubanovich, Zisook, and Bloss 2022).…”
Section: Tasks and Data Studiedmentioning
confidence: 99%
“…In this paper, we present the first empirical analysis juxtaposing user history length and differential privacy budgets, demonstrating how modeling additional user context can compensate the performance loss while keeping acceptable privacy guarantees. Specifically, we demonstrate our approach on two suicide risk assessment datasets of Twitter and Reddit posts, as these tasks are vulnerable to user harm by privacy leaks (O'Loughlin et al 2019;Rubanovich, Zisook, and Bloss 2022;Mikal, Hurst, and Conway 2016).We qualitatively inspect data points where enforcing differential privacy leads to performance changes, quantitatively estimate the privacy leakage by adversarial attacks, and examine the impact of different levels of class imbalance. Based on our experiments, we argue that providing stricter formal privacy guarantees, while increasing the volume of user data in the model, in most cases increases the benefit for all parties involved, and that this effect shall be taken into account by future policy makers.…”
Section: Introductionmentioning
confidence: 99%