Providing crisis care in a pandemic: a virtual based crisis stabilization unit.

Background: Winnipeg, Canada operates a 16-bed subacute unit, the Crisis Stabilization Unit (CSU), for voluntary patients in crisis not requiring hospital admission. The virtual CSU (vCSU) launched in March 2020 as an adjunct to the in-person CSU during the COVID-19 pandemic, providing the same resources virtually, allowing patients to remain at home. Methods: Program data were collected for vCSU admissions between April 1, 2020 and April 7, 2021 (n = 266) to examine patient characteristics and discharge outcomes. Data were retrieved from the electronic patient record (EPR) for both in-person and vCSU admissions during the same period for comparison (n = 712). vCSU admissions (n = 191) were summarized by patient demographics, clinical factors/outcomes, and compared on the same measures to in-person CSU admissions (n = 521) using binary logistic regression. Results: 30.1% of patients admitted to the vCSU received initial mental health assessment virtually (phone/videoconference), therefore receiving all care at home. Clinical symptoms at assessment included depression/anxiety (39.0%), psychosis/mania (2.7%), suicidal behaviour/self-harm (27.4%), psychosocial event/stressor (19.8%). Average stay was 4.9 days. Compared to the in-person CSU, vCSU referrals were associated with the absence of psychosis [odds ratio (OR).40, 95% confidence interval (CI).18-0.89] and no prior 1-year contact with referral site (OR.43, 95% CI.28-0.64). Those living farther away from the referral site were more likely to receive a vCSU referral. Conclusion: The vCSU model is feasible for a diverse group of patients experiencing mental health crises. Future work is needed to better determine who the model is right for and examine longer term outcomes.

Virtual Acute Psychiatric Ward: Evaluation of Outcomes and Cost Savings.

OBJECTIVE: The COVID-19 pandemic motivated rapid expansion of virtual care. In Winnipeg, Canada, the authors launched a virtual psychiatric acute care ward (vWARD) to divert patients from hospitalization through daily remote treatment by a psychiatry team using telephone or videoconferencing. This study examined vWARD patient characteristics, predictors of transfer to a hospital, use of acute care postdischarge, and costs of the vWARD compared with in-person hospitalization. METHODS: Data for all vWARD admissions from March 23, 2020, to April 30, 2021, were retrieved from program documents and electronic records. Emergency department visits and hospitalizations in the 6 months before admission and the 30 days after discharge were documented. Logistic regression identified factors associated with transfer to a hospital. Thirty-day acute care use after discharge was modeled with Kaplan-Meier curves. A break-even cost analysis was generated with data for usual hospital-based care. RESULTS: The 132 vWARD admissions represented a diverse demographic and clinical population. Overall, 57% involved suicidal behavior, and 29% involved psychosis or mania. Seventeen admissions (13%) were transferred to a hospital. Only presence of psychosis or mania significantly predicted transfer (OR=34.2, 95% CI=3.3-354.6). Eight individuals were hospitalized in the 30 days postdischarge (cumulative survival=0.93). vWARD costs were lower than usual care across several scenarios. CONCLUSIONS: A virtual ward is a feasible, effective, and potentially cost-saving intervention to manage acute psychiatric crises in the community and avoid hospitalization. It has benefits for both the health system and the individual who prefers to receive care at home.

Prevalence of hoarding behaviours and excessive acquisition in users of online classified advertisements.

An estimated 2-6% of the general population is thought to suffer from clinically significant hoarding symptoms, with 80-90% engaging in excessive acquisition. Minimal research has examined the excessive acquisition component of hoarding disorder (HD). Many individuals with HD have limited insight into their condition and are reluctant to seek help, making prevalence estimates difficult to obtain. Online classified advertisement networks provide a venue to list items for sale, often for free. We examined the prevalence of hoarding behaviours among users of online classified advertisements. A link to an online survey was posted between June 26, 2015-March 10, 2017. Participants provided demographic information and completed the Hoarding Rating Scale (HRS); individuals with clinically significant hoarding (High HRS) also completed the Saving Inventory-Revised (SI-R) and Clutter Image Rating (CIR). Feedback regarding hoarding behaviours was provided. The survey was completed by 729 adults and 12.3% (n = 90) self-identified as experiencing clinically significant hoarding as per the HRS (High HRS). Of those in the High HRS group, most (66.7%) were categorized to the 'high acquisition' group based on the SI-R excessive acquisition subscale. Overall this sample revealed high rates of significant hoarding behaviours, almost double that of community samples. Excessive acquisition was prominent and associated with greater hoarding severity, highlighting the need to further study this specifier.

There is an app for that! The current state of mobile applications (apps) for DSM-5 obsessive-compulsive disorder, posttraumatic stress disorder, anxiety and mood disorders.

Mental health apps are viewed as a promising modality to extend the reach of mental health care beyond the clinic. They do so by providing a means of assessment, tracking, and treatment through a smartphone. Given that nearly 2/3 of the American population owns a smartphone, mental health apps offer the possibility of overcoming treatment barriers such as geographic location or financial barriers. Unfortunately, the excitement surrounding mental health apps may be premature as the current supporting literature regarding their efficacy is limited. The app marketplace is littered with apps claiming to treat or assess symptoms, but even those created by reputable organizations or those incorporating components of evidence-based treatments have not yet been validated in terms of their efficacy. This review aims to provide a comprehensive review of the current state of the mental health app literature by examining published reports of apps designed for DSM-5 anxiety and mood disorders, OCD, and PTSD. The breadth of apps reviewed includes those oriented around assessment, symptom tracking, and treatment as well as "multipurpose" apps, which incorporate several of these components. This review will also present some of the most popular mental health apps which may have clinical utility and could be prescribed to clients. While we discuss many potential benefits of mental health apps, we focus on a number of issues that the current state of the app literature presents. Overall there is a significant disconnect between app developers, the scientific community and health care, leaving the utility of existing apps questionable.