Boarding in US Academic Emergency Departments During the COVID-19 Pandemic.

STUDY OBJECTIVE: The first 2 years of the COVID-19 pandemic brought substantial and dynamic changes to emergency department volumes and throughput. The objective of this study was to describe changes in ED boarding among US academic EDs across the duration of the COVID-19 pandemic. METHODS: We conducted a retrospective analysis of monthly data collected from a convenience sample of academic departments of emergency medicine. The study period was from January 2019 to December 2021. The primary outcome was total boarding hours, and secondary outcomes included patient volume stratified by ED disposition. We used multivariable linear panel regression models with fixed effects for individual EDs to estimate adjusted means for 3-month quarters. RESULTS: Of the 73 academic departments of emergency medicine contacted, 34 (46.6%) participated, comprising 43 individual EDs in 25 states. The adjusted mean total boarding hours per month significantly decreased during the second quarter of 2020 (4,449 hours; 95% confidence interval [CI] 3,189 to 5,710) compared to the first quarter of 2019 (8,521 hours; 95% CI 7,845 to 9,197). Beginning in the second quarter of 2021, total boarding hours significantly increased beyond pre-pandemic levels, peaking during the fourth quarter of 2021 (12,127 hours; 95% CI 10,925 to 13,328). CONCLUSIONS: A sustained and considerable increase in boarding observed in selected US academic EDs during later phases of the COVID-19 pandemic may reflect ongoing stresses to the health care system, with potential consequences for patient outcomes as well as clinician well-being.

Emergency medicine resident perspectives on well-being during COVID-19: a qualitative study.

BACKGROUND: Emergency medicine (EM) clinician well-being has been negatively impacted throughout the COVID-19 pandemic. Resident physicians are particularly vulnerable yet less is known about their perspectives. METHODS: The objective of this study was to use qualitative methods to understand EM residents' perspectives on well-being during COVID-19. EM residents at an urban, academic institution in the USA were recruited via email and participated in virtual, semi-structured interviews between November 2020 and February 2021. Interviews were conducted by a trained qualitative researcher, recorded, transcribed and de-identified by a third party vendor. All transcripts were double coded by two trained study team members using thematic analysis to identify the themes and interviews were stopped when no new themes emerged. RESULTS: Seventeen semi-structured interviews were conducted until thematic saturation was reached with residents in their first 4 years of training: 6 postgraduate year (PGY)-1 (35%), 6 PGY-2 (35%), 2 PGY-3 (12%) and 3 PGY-4 (18%). Five themes were identified: (1) isolation from peers in training contrasting with a collective call to action, (2) desire for increased acknowledgement and structured leadership support, (3) concerns about personal needs and safety within the clinical environment, (4) fear of missed educational opportunities and lack of professional development and (5) need for enhanced mental and physical health resources. CONCLUSIONS: This qualitative study elucidated factors inside and outside of the clinical environment which impacted EM resident well-being. The findings suggest that programme and health system leadership can focus on supporting peer-to-peer and faculty connections, structured guidance and mentorship on resident career development and develop programmes which bolster resident on-shift support and acknowledgement. These lessons can be used by training programmes to better support residents, but the generalisability is limited due to the single-centre design and participation.

Youth recovery outcomes at 6 and 9 months following participation in a mobile texting recovery support aftercare pilot study.

BACKGROUND AND OBJECTIVES: We examined youth recovery outcomes at 6- and 9-months post-participation in an aftercare pilot study called Educating and Supporting inQuisitive Youth in Recovery (ESQYIR) that aimed to investigate the utility of a 12-week mobile texting recovery support intervention. METHODS: A total of 80 youth [Mage 20.4 (SD = 3.5)] were randomized to a mobile texting aftercare intervention or an aftercare-as-usual control group. Both groups received identical data collection protocols with psychosocial and behavioral assessments occurring at baseline, during the trial (months 1 and 2), at discharge from the trial (month 3), and 3-, 6-, and 9-month post-intervention follow-ups. RESULTS: Mixed modeling showed that youth who participated in the mobile texting aftercare intervention were less likely to test positive for their primary drug compared to youth in the aftercare-as-usual condition during 6- and 9-months follow-ups (p < .01). Additionally, youth in the aftercare intervention reported significantly higher self-efficacy/confidence to abstain during recovery (p < .05) and were more likely to participate in recovery-related behaviors (self-help and goal-directed extracurricular activities; p < .05) than those in aftercare-as-usual at the 6- and 9-month follow-ups. CONCLUSIONS: Results suggest that delivering a structured, behavioral-based wellness aftercare intervention using mobile texting can be an effective for sustaining recovery outcomes in youth over time compared to youth who receive aftercare-as-usual. SCIENTIFIC SIGNIFICANCE: This study shows that a mobile-texting aftercare intervention sustained effects at 6- and 9-months post-intervention for young people in substance use recovery.

Technological aids for improving longitudinal research on substance use disorders.

BACKGROUND: There is a broad consensus that addictive behaviors tend to be chronic and relapsing. But for field studies of substance users, successfully tracking, locating, and following up with a representative sample of subjects is a challenge. METHODS: The purpose of this paper is to provide a general overview of how current technological aids can support and improve the quality of longitudinal research on substance use disorders. The review is grouped into four domains: (1) tracking and locating, (2) prompting/engaging, (3) incentivizing, and (4) collecting data. RESULTS & CONCLUSIONS: Although the technologies described in this review will be modified or replaced over time, our findings suggest that incorporating some or all of these currently available approaches may improve research efficiency, follow-up rates, and data quality.

Predictors of depression outcomes among abstinent methamphetamine-dependent individuals exposed to an exercise intervention.

BACKGROUND AND OBJECTIVES: This paper expands on a study investigating depression outcomes in response to an 8-week exercise intervention among methamphetamine (MA) dependent individuals in early recovery. METHODS: A total of 135 MA-dependent individuals enrolled in residential treatment were randomly assigned to either a structured exercise intervention or a structured health education control group. Both groups were similar in format: 60-minute sessions, offered three times a week over an 8-week study period. RESULTS: Results showed that at the 8-week trial endpoint, participants randomized to the exercise intervention showed significantly greater reduction in depression symptom scores than participants randomized to the health education group, and that participants who attended the greatest number of exercise sessions derived the greatest benefit. This paper further analyzes study data to uncover individual predictors of depression response to exercise and finds that among participants randomized to exercise treatment, individuals with the most severe medical, psychiatric, and addiction disease burden at baseline showed the most significant improvement in depressive symptoms by study endpoint. CONCLUSIONS: Our findings suggest that exercise in moderate dose is effective at treating depressive symptoms in individuals in early recovery from addiction, and furthermore, that treatment with exercise appears to be particularly beneficial to individuals who suffer from severe medical, psychiatric, and addictive disorders.

Exploring the Factor Structure of a Recovery Assessment Measure among Substance-Abusing Youth.

To date, the measurement of recovery in the field of substance abuse is limited. Youth recovery from substance abuse is an important area to consider, given the complexities of such issues. The Recovery Assessment Scale (RAS) has been validated with mental health patient populations; however, its measurement characteristics have not been examined for individuals in substance abuse treatment. The current study explored the factor structure of the RAS with a sample of 80 substance-abusing youth who participated in a pilot aftercare study (Mage 20.5, SD=3.5; 71.3% male). Reliability analysis showed an internal consistency of α=.90 for the entire RAS measure among the youth sample. Results of exploratory factor analysis identified the following four factors: personal determination, skills for recovery, self-control in recovery, and social support/moving beyond recovery among the substance-abusing youth sample. The RAS also demonstrated sound convergent and divergent validity in comparison to other validated measures of functioning, sobriety, and well-being. Collectively, results support that the RAS has adequate psychometric properties for measuring recovery among substance-abusing youth.

Exploring the feasibility of text messaging to support substance abuse recovery among youth in treatment.

This exploratory study examined treatment involved youth opinions about (i) the utility of using text messaging to support recovery behaviors after treatment; (ii) important types of text messages that could help youth self-manage their substance use behaviors after treatment; and (iii) programmatic or logistical areas associated with text messaging programs. Eight focus groups were conducted with 67 youth (aged 12-24) enrolled in outpatient and residential publicly funded substance abuse treatment programs around Los Angeles County, California. Results highlight that 70% of youth positively endorsed text messaging as a viable method of intervention during aftercare, 20% expressed ambivalent feelings, and 10% conveyed dislike. Thematic data exploration revealed seven themes related to the types of text messages youth recommend for helping youth avoid relapse after treatment, including positive appraisal (90%), lifestyle change tips (85%), motivational reinforcing (80%), coping advice (75%), confidence boosters (65%), inspiration encouragement (55%), and informational resources (50%). Youth opinions about key logistical features of text messaging programs, including frequency, timing, sender, and length are also examined. Findings offer insight for the development and enhancement of recovery support interventions with substance abusing youth. Results imply text messaging may serve as a promising opportunity for recovery support for young people with substance abuse problems.

Investigating the Feasibility of Using a Wearable Device to Measure Physiologic Health Data in Emergency Nurses and Residents: Observational Cohort Study.

BACKGROUND: Emergency departments play a pivotal role in the US health care system, with high use rates and inherent stress placed on patients, patient care, and clinicians. The impact of the emergency department environment on the health and well-being of emergency residents and nurses can be seen in worsening rates of burnout and cardiovascular health. Research on clinician health has historically been completed outside of clinical areas and not personalized to the individual. The expansion of digital technology, specifically wearable devices, may enhance the ability to understand how health care environments impact clinicians. OBJECTIVE: The primary objective of this pilot study was to assess the feasibility and acceptability of using wearable devices to measure and record physiologic data from emergency nurses and resident physicians. Understanding strategies that are accepted and used by clinicians is critical prior to launching larger investigations aimed at improving outcomes. METHODS: This was a longitudinal pilot study conducted at an academic, urban, level 1 trauma center. A total of 20 participants, including emergency medicine resident physicians and nurses, were equipped with a wearable device (WHOOP band) and access to a mobile health platform for 6 weeks. Baseline surveys assessed burnout, mental health, and expectations of the device and experience. Participants provided open-ended feedback on the device and platform, contributing to the assessment of acceptance, adoption, and use of the wearable device. Secondary measures explored early signs and variations in heart rate variability, sleep, recovery, burnout, and mental health assessments. RESULTS: Of the 20 participants, 10 consistently used the wearable device. Feedback highlighted varying experiences with the device, with a preference for more common wearables like the Apple Watch or Fitbit. Resident physicians demonstrated higher engagement with the device and platform as compared with nurses. Baseline mental health assessments indicated mild anxiety and depressive symptoms among participants. The Professional Fulfillment Index revealed low professional fulfillment, moderate workplace exhaustion, and interpersonal disengagement. CONCLUSIONS: This pilot study underscores the potential of wearable devices in monitoring emergency clinicians' physiologic data but reveals challenges related to device preferences and engagement. The key takeaway is the necessity to optimize device and platform design for clinician use. Larger, randomized trials are recommended to further explore and refine strategies for leveraging wearable technology to support the well-being of the emergency workforce.

Patient perceptions of behavioral flags in the emergency department: A qualitative analysis.

BACKGROUND: To combat increasing levels of violence in the emergency department (ED), hospitals have implemented several safety measures, including behavioral flags. These electronic health record (EHR)-based notifications alert future clinicians of past incidents of potentially threatening patient behavior, but observed racial disparities in their placement may unintentionally introduce bias in patient care. Little is known about how patients perceive these flags and the disparities that have been found in their placement. OBJECTIVE: This study aims to investigate patient perceptions and perceived benefits and harms associated with the use of behavioral flags. METHODS: Twenty-five semistructured qualitative interviews were conducted with a convenience sample of patients in the ED of a large, urban, academic medical center who did not have a behavioral flag in their EHR. Interviews lasted 10-20 min and were recorded then transcribed. Thematic analysis of deidentified transcripts took place in NVivo 20 software (QSR International) using a general inductive approach. RESULTS: Participant perceptions of behavioral flags varied, with both positive and negative opinions being shared. Five key themes, each with subthemes, were identified: (1) benefits of behavioral flags, (2) concerns and potential harms of flags, (3) transparency with patients, (4) equity, and (5) ideas for improvement. CONCLUSIONS: Patient perspectives on the use of behavioral flags in the ED vary. While many saw flags as a helpful tool to mitigate violence, concerns around negative impacts on care, transparency, and equity were also shared. Insights from this stakeholder perspective may allow for health systems to make flags more effective without compromising equity or patient ideals.

Medical Students' Perceptions on Identifying and Addressing Emotional Responses in Emergency Medicine: Pilot Investigation.

BACKGROUND: Training in acute care, such as emergency medicine (EM), where exposure to critically ill and injured patients is high, impacts the well-being of trainees and contributes to burnout. Investigating how, and if, trainees prepare for these situations is necessary to ensure they are supported. OBJECTIVE: This study aimed to evaluate medical students' perspectives and emotional preparedness for handling acute care and trauma. METHODS: We conducted a pilot investigation using a remote digital survey of medical students during their EM clerkship at a large, urban academic institution. The primary outcome of interest was student-reported preparedness and comfort in handling trauma and critical care patient encounters. Secondary outcomes included awareness of well-being resources and comfort in accessing digital well-being resources. RESULTS: A total of 57 medical students completed the voluntary digital survey, and half of the students (n=28, 49%) reported having witnessed the care of a critically ill or a penetrating trauma patient (eg, a victim of gun violence). A majority (n=40, 70%) had thought about how these events may impact them, and over half felt unprepared to identify the emotional impact these cases may have on them (n=31, 54%) or address the emotional or mental health impact (n=36, 63%). Less than a quarter (n=14, 25%) were aware of digital mental health resources, and 58% (n=33) did not feel fully comfortable connecting with resources if needed. Students who had previously witnessed critical care were significantly more likely to report feeling well prepared in identifying the emotional impact and addressing this impact. CONCLUSIONS: In this cross-sectional survey, students did not feel fully prepared to identify or address the emotional impact of working in EM. Additionally, they lacked awareness of or comfort with accessing digital institutional resources meant to support their well-being, such as a large web-based platform. These findings can help inform and guide interventions by educational and academic leaders. The aim would be to create and promote environments that empower students with tools to identify their own emotions and connect to well-being resources.

User Information Sharing and Hospital Website Privacy Policies.

Importance: Hospital websites frequently use tracking technologies that transfer user information to third parties. It is not known whether hospital websites include privacy policies that disclose relevant details regarding tracking. Objective: To determine whether hospital websites have accessible privacy policies and whether those policies contain key information related to third-party tracking. Design, Setting, and Participants: In this cross-sectional content analysis of website privacy policies of a nationally representative sample of nonfederal acute care hospitals, hospital websites were first measured to determine whether they included tracking technologies that transferred user information to third parties. Hospital website privacy policies were then identified using standardized searches. Policies were assessed for length and readability. Policy content was analyzed using a data abstraction form. Tracking measurement and privacy policy retrieval and analysis took place from November 2023 to January 2024. The prevalence of privacy policy characteristics was analyzed using standard descriptive statistics. Main Outcomes and Measures: The primary study outcome was the availability of a website privacy policy. Secondary outcomes were the length and readability of privacy policies and the inclusion of privacy policy content addressing user information collected by the website, potential uses of user information, third-party recipients of user information, and user rights regarding tracking and information collection. Results: Of 100 hospital websites, 96 (96.0%; 95% CI, 90.1%-98.9%) transferred user information to third parties. Privacy policies were found on 71 websites (71.0%; 95% CI, 61.6%-79.4%). Policies were a mean length of 2527 words (95% CI, 2058-2997 words) and were written at a mean grade level of 13.7 (95% CI, 13.4-14.1). Among 71 privacy policies, 69 (97.2%; 95% CI, 91.4%-99.5%) addressed types of user information automatically collected by the website, 70 (98.6%; 95% CI, 93.8%-99.9%) addressed how collected information would be used, 66 (93.0%; 95% CI, 85.3%-97.5%) addressed categories of third-party recipients of user information, and 40 (56.3%; 95% CI, 44.5%-67.7%) named specific third-party companies or services receiving user information. Conclusions and Relevance: In this cross-sectional study of hospital website privacy policies, a substantial number of hospital websites did not present users with adequate information about the privacy implications of website use, either because they lacked a privacy policy or had a privacy policy that contained limited content about third-party recipients of user information.

Perspectives of Black Patients on Racism Within Emergency Care.

Importance: Numerous Black individuals experience racism persistently throughout their lives, with repercussions extending into health care settings. The perspectives of Black individuals regarding emergency department (ED) care, racism, and patient-centered approaches for dismantling structural racism remain less explored. Objective: To qualitatively explore the perspectives and experiences of Black patients related to race, racism, and health care following a recent ED visit. Design, Setting, and Participants: In this qualitative study, the audio from semistructured interviews of Black patients discharged from an academic urban ED between August 2021 to April 2022 were recorded, transcribed, and analyzed using thematic analysis. Main Outcomes and Measures: The main outcomes encompassed the main themes from the analysis of the interviews with Black patients regarding their perspectives on race, racism, and clinical care. Results: A total of 25 Black patients (20 [80%] female; mean [SD] age, 44.6 [12.9] years) discharged from the ED were interviewed. Three broad domains were identified: (1) racism in health care; (2) ED clinical care; and (3) recommendations for improvement. Within these domains, the first 2 were grouped into specific themes. Within the first domain, racism in health care, 7 themes were identified using thematic analysis: (1) a history of medical racism; (2) dismissiveness; (3) patient expectations on encountering racism; (4) medical mistrust; (5) health literacy; (6) postencounter outcomes, and (7) discrimination beyond but associated with race. Within the second theme, ED clinical care, 5 themes were identified using the same thematic analysis method: (1) discharge plan; (2) patient experience; (3) waiting room perceptions; (4) medication treatment; and (5) pain management. The third domain, recommendations for improvement, incorporated patient-generated suggestions for enhancing the Black patient experience. Conclusions and Relevance: In this qualitative study, the fabric of clinical care delivery in the ED was intricately woven with Black patients' experiences of racism. Patients expressed a pervasive sense of mistrust, skepticism, and dismissiveness at the system level. Instances of racism were consistently highlighted by patients from their entry to the ED to discharge. These perspectives illuminate the pervasive nature of racism in clinical care, providing valuable insights for exploring patient-centered approaches to foster antiracist cultures in the ED and throughout the broader medical landscape.

Digital Engagement Strategy and Health Care Worker Mental Health: A Randomized Clinical Trial.

Importance: The health care workforce continues to experience high rates of depression and anxiety. Finding ways to effectively support the mental health and well-being of health care workers is challenging. Objective: To test the effectiveness of remote, pushed digital assessments and engagement to improve depression and anxiety among health care workers compared with usual care. Design, Setting, and Participants: This was a 9-month randomized clinical trial with a 6-month intervention period. Participants were health care workers with self-reported daily access to a smartphone and at least 4 clinical hours per week. Participants were randomized to usual care or the intervention between January 2022 and March 2023. Data analyses were conducted between May and July 2023. Interventions: All participants completed baseline, 6-month, and 9-month mental health, well-being, and burnout assessments. The control group had open access to a web-based mental health platform. Participants in the intervention group received monthly text messaging about mental health, mental health assessments, and linkages to care. Main Outcomes and Measures: The primary outcomes were mean change in depression and anxiety scores at 6 months from baseline. Secondary outcomes include mean change in well-being, burnout, and self-reported workplace productivity. Results: In this study, 1275 participants were randomized (642 [50.4%] to the intervention group and 633 [49.6%] to control group). Participants had a mean (SD) age of 38.6 (10.9) years, 1063 participants (83.4%) were female, 320 (25.1%) self-identified as Black, and 793 (62.2%) self-identified as White. Across the groups, the mean difference in depression score was significantly different at 6 months (-0.96 [95% CI, -1.52 to -0.40]) and at 9 months (-1.14 [95% CI, -1.69 to -0.58]). The mean difference in anxiety score from baseline to 6 months was statistically significantly larger for those in the intervention group vs usual care (-0.71 [95% CI, -1.25 to -0.17]) and held true at 9 months (-1.06 [95% CI, -1.59 to -0.52]). Conclusions and Relevance: In a trial of health care workers, a proactive digital engagement strategy, including pushed text messaging, mobile mental health assessments, and connection to care, improved depression and anxiety over a 6-month period compared with simply making the same resources available for individuals to find and use. Trial Registration: ClinicalTrials.gov Identifier: NCT05028075.

Cross-sectional analysis of healthcare worker mental health and utilisation of a digital mental health platform from 2020 to 2023.

BACKGROUND: Healthcare worker (HCW) anxiety and depression worsened during the pandemic, prompting the expansion of digital mental health platforms as potential solutions offering online assessments, access to resources and counselling. The use of these digital engagement tools may reflect tendencies and trends for the mental health needs of HCWs. OBJECTIVES: This retrospective, cross-sectional study investigated the association between the use of an online mental health platform within a large academic health system and measures of that system's COVID-19 burden during the first 3 years of the pandemic. METHODS: The study investigated the use of Cobalt, an online mental health platform, comprising deidentified mental health assessments and utilisation metrics. Cobalt, serves as an online mental health resource broadly available to health system employees, offering online evidence-based tools, coaching, therapy options and asynchronous content (podcasts, articles, videos and more). The analyses use validated mental health assessments (Generalised Anxiety Disorder-7 (GAD-7), Patient Health Questionnaire-9 (PHQ-9) and post-traumatic stress disorder (PTSD)) alongside publicly available COVID-19 data. Statistical analyses employed univariate linear regression with Stata SE Statistical Software. RESULTS: Between March 2020 and March 2023, 43 308 independent user sessions were created on Cobalt, a majority being anonymous sessions (72%, n=31 151). Mental health assessments, including PHQ-4, PHQ-9, GAD-7 and primary care-PTSD, totalled 9462 over the time period. Risk for self-harm was noted in 17.1% of PHQ-9 assessments. Additionally, 4418 appointments were scheduled with mental health counsellors and clinicians. No significant associations were identified between COVID-19 case burden and Cobalt utilisation or assessment scores. CONCLUSION: Cobalt emerged as an important access point for assessing the collective mental health of the workforce, witnessing increased engagement over time. Notably, the study indicates the nuanced nature of HCW assessments of anxiety, depression and PTSD, with mental health scores reflecting moderate decreases in depression and anxiety but signalling potential increases in PTSD. Tailored resources are imperative, acknowledging varied mental health needs within the healthcare workforce. Ultimately, this investigation lays the groundwork for continued exploration of the impact and effectiveness of digital platforms in supporting HCW mental health.

Perceptions about recovery needs and drug-avoidance recovery behaviors among youth in substance abuse treatment.

OBJECTIVE: This study used mixed methods to explore youth attitudes about recovery-related needs and important drug-avoidance behaviors after treatment. METHOD: Focus groups were conducted with 118 substance using youth in treatment (four residential and 10 outpatient settings) throughout Los Angeles County. RESULTS: The average age was 17.4 (SD = 2.9); 78.3% were male, 66.1% Latino; and most were in treatment for primary marijuana (40.9%) or methamphetamine (30.4%) abuse. Quantitatve results from the drug-avoidance activity survey identified the following factors youth rated as important to their recovery after treatment: lifestyle improvement activities (95.7%); changing personal drug behaviors (89.6%); drug environment/culture change activities (82.5%); with the least important being therapeutic activities (78.5%). Qualitative findings from focus groups that asked what youth think are important for recovery programs to address after treatment revealed the following four areas: (1) recovery promotion to developmentally appropriate activities (95%); (2) facilitating the use of coping skills to deal with stress (85%); (3) offering alternative recovery support options (not just abstinence only) (75%); and (4) continuing to provide substance use education (65%). CONCLUSION: Findings highlight essential aspects of recovery in terms of need and drug-avoidance behaviors considered important to youth in treatment. Such information will help to better address clinical and recovery support models aimed at relapse prevention to ensure that the perceived problems of substance-abusing youth are adequately met.

Putting Research on LGBTQ+ Youth in Schools to Use: The Stories and Numbers Project.

Publicly engaged social science can help to maximize research use for program and policy change toward equity. In what follows, we describe The Stories and Numbers Project as an example of publicly engaged research that moves the robust science of supporting LGBTQ+ (and all) students beyond the university and into the public sphere. We provide an overview of LGBTQ+ young people's experiences of their school climate and the science of LGBTQ+-supportive safe school strategies to contextualize the need for the Project. We discuss the theoretical foundations of the Project, as well as the experiences and resources that made the Project possible. We outline our multi-pronged strategy for research dissemination to LGBTQ+ students and key nodes of their social networks. Finally, we conclude with the lessons learned from the Stories and Numbers Project, and how they can be leveraged to activate research for social change.

Qualitative Perspectives of Emergency Nurses on Electronic Health Record Behavioral Flags to Promote Workplace Safety.

Importance: Emergency nurses experience high levels of workplace violence during patient interactions. Little is known about the efficacy of behavioral flags, which are notifications embedded within electronic health records (EHRs) as a tool to promote clinician safety. Objective: To explore the perspectives of emergency nurses on EHR behavioral flags, workplace safety, and patient care. Design, Setting, and Participants: In this qualitative study, semistructured interviews were conducted with emergency nurses at an academic, urban emergency department (ED) between February 8 and March 25, 2022. Interviews were audio recorded, transcribed, and analyzed using thematic analysis. Data analysis was performed from April 2 to 13, 2022. Main Outcomes and Measures: Themes and subthemes of nursing perspectives on EHR behavioral flags were identified. Results: This study included 25 registered emergency nurses at a large academic health system, with a mean (SD) tenure of 5 (6) years in the ED. Their mean (SD) age was 33 (7) years; 19 were women (76%) and 6 were men (24%). Participants self-reported their race as Asian (3 [12%]), Black (3 [12%]), White (15 [60%]), or multiple races (2 [8%]); 3 participants (12%) self-reported their ethnicity as Hispanic or Latinx. Five themes (with subthemes) were identified: (1) benefits of flags (useful advisory; prevents violence; engenders compassion), (2) issues with flags (administrative and process issues; unhelpful; unenforceable; bias; outdated), (3) patient transparency (patient accountability; damages patient-clinician relationship), (4) system improvements (process; built environment; human resources; zero-tolerance policies), and (5) difficulties of working in the ED (harassment and abuse; unmet mental health needs of patients; COVID-19-related strain and burnout). Conclusions and Relevance: In this qualitative study, nursing perspectives on the utility and importance of EHR behavioral flags varied. For many, flags served as an important forewarning to approach patient interactions with more caution or use safety skills. However, nurses were skeptical of the ability of flags to prevent violence from occurring and noted concern for the unintended consequences of introducing bias into patient care. These findings suggest that changes to the deployment and utilization of flags, in concert with other safety interventions, are needed to create a safer work environment and mitigate bias.

Widespread Third-Party Tracking On Hospital Websites Poses Privacy Risks For Patients And Legal Liability For Hospitals.

Computer code that transfers data to third parties (third-party tracking) is common across the web and is subject to few federal privacy regulations. We determined the presence of potentially privacy-compromising data transfers to third parties on a census of US nonfederal acute care hospital websites, and we used descriptive statistics and regression analyses to determine the hospital characteristics associated with a greater number of third-party data transfers. We found that third-party tracking is present on 98.6 percent of hospital websites, including transfers to large technology companies, social media companies, advertising firms, and data brokers. Hospitals in health systems, hospitals with a medical school affiliation, and hospitals serving more urban patient populations all exposed visitors to higher levels of tracking in adjusted analyses. By including third-party tracking code on their websites, hospitals are facilitating the profiling of their patients by third parties. These practices can lead to dignitary harms, which occur when third parties gain access to sensitive health information that a person would not wish to share. These practices may also lead to increased health-related advertising that targets patients, as well as to legal liability for hospitals.

Process-of-care measures as predictors of client outcome among a methamphetamine-dependent sample at 12- and 36-month follow-ups.

This study examines the utility of several process-of-care performance measures (initiation, engagement, retention, and monitoring of drug use during treatment) as predictors of methamphetamine (MA) use outcomes at 12- and 36-month follow-ups. MA-dependent individuals (n = 871) participated in a randomized, controlled trial of outpatient psychosocial treatment from 1999-2002 and completed 12- and 36-month follow-up interviews. This sample included a treatment-as-usual group (n = 436) and a 16-week Matrix treatment (n = 435) group. Significant associations were observed between select process-of-care measures and MA use outcomes at both follow-ups. While correlational analyses showed an association between MA abstinence at follow-up and enhanced treatment engagement and retention, mixed logistic regression analyses indicated that sustained abstinence from MA during outpatient treatment was the strongest predictor of testing negative for MA use at both follow-ups. Results suggest that monitoring client drug use during treatment may be a useful process-of-care measure with MA-dependent users.