Telehealth Decreases Rural Emergency Department Wait Times for Behavioral Health Patients in a Group of Critical Access Hospitals.

Background: Telehealth has been proposed as an important care delivery strategy to increase access to behavioral health care, especially in rural and medically-underserved settings where mental health care provider shortage areas predominate, to speed access to behavioral health care, and reduce health disparities.Introduction: This study was conducted to determine the effects of telehealth-based care delivery on clinical, temporal, and cost outcomes for behavioral health patients in rural emergency departments (EDs) of four Midwestern critical access hospitals (CAHs).Materials and Methods: Observational matched cohort study of adult (age ≥18 years) behavioral health patients treated in participating CAH EDs from 2015 to 2017 (N = 287). Telehealth cases were matched 2:1 retrospectively to nontelehealth control cases based on gender, age ±10 years, diagnosis group, and CAH, before implementation of telehealth in the rural hospitals (2005-2013; N = 153).Results: The greatest number of behavioral health cases evaluated was in the mood, anxiety, and other mental health disorders category. The majority of patients in the telehealth (74%) and nontelehealth (68%) cohorts were 18-44 years. Mean ED wait time for the telehealth cohort was significantly shorter at 12 min (95% CI 11-14 min) (p < 0.001) compared to a mean time of 27 min (95% CI 22-32 min) for the nontelehealth case controls (local provider only). The ED length of stay (LOS) for the telehealth cohort was significantly longer (M = 318 min vs. 147 min, p < 0.001) compared to the nontelehealth cohort. The end of telehealth visit to departure (EOTVtD) from the ED in minutes was evaluated to highlight factors potentially influencing delivery of behavioral health care in the ED. Across three behavioral diagnostic categories, time in minutes from end of telehealth visit to disposition/discharge was significantly longer for suicide and intentional self-injury cases (n = 100; 113 min, 95% CI 88-145; p = 0.004) compared to anxiety, mood, and other mental health disorders (n = 126; 66 min, 95% CI 52-83). There was a clinically meaningful difference in EOTVtD in minutes for substance abuse-related cases, which were shorter in length on average (n = 58; 71 min, 95% CI 54-94). Total ED costs for substance abuse-related cases for the telehealth (n = 58; $4556, 95% CI $3963-$5238) cohort were significantly higher than for the two other behavioral diagnostic groups (p < 0.001).Conclusions: Telehealth consultation in the ED for behavioral health cases was associated with decreased wait time and longer ED LOS. Similar to recent studies, the most common behavioral health cases involved mood and anxiety disorders. Costs related to treatment were highest for substance abuse-related cases, likely due to the additional interventions needed, especially related to resuscitation There are opportunities to improve ED efficiencies and post-telehealth visit protocols related to the timeframe extending from the EOTVtD from the ED, which continues to be a focus of future research. Additional research is also needed to determine if telehealth lends itself more effectively to specific categories of behavioral health cases.

Telemental health evaluations enhance access and efficiency in a critical access hospital emergency department.

INTRODUCTION: Mentally ill patients in crisis presenting to critical access hospital emergency rooms often face exorbitant wait times to be evaluated by a trained mental health provider. Patients may be discharged from the hospital before receiving an evaluation or boarded in a hospital bed for observation, reducing quality and increasing costs. This study examined the effectiveness of an emergency telemental health evaluation service implemented in a rural hospital emergency room. MATERIALS AND METHODS: Retrospective data collection was implemented to consider patients presenting to the emergency room for 212 days prior to telemedicine interventions and for 184 days after. The study compared measures of time to treatment, length of stay (regardless of inpatient or outpatient status), and door-to-consult time. RESULTS: There were 24 patients seen before telemedicine was implemented and 38 seen using telemedicine. All patients had a mental health evaluation ordered by a physician and completed by a mental health specialist. Significant reductions in all three time measures were observed. Mean and median times to consult were reduced from 16.2 h (standard deviation=13.2 h) and 14.2 h, respectively, to 5.4 h (standard deviation =6.4 h) and 2.6 h. Similar reductions in length of stay and door-to-consult times were observed. By t tests, use of telemedicine was associated with a statistically significant reduction in all three outcome measures. CONCLUSIONS: Telemedicine appears to be an effective intervention for mentally ill patients by providing more timely access to mental health evaluations in rural hospital emergency departments.

Tele-emergency behavioural health in rural and underserved areas.

INTRODUCTION: Challenges accessing behavioural health services in rural and underserved areas are compounded by severe shortages of behavioural health specialists, and difficulties placing patients. Tele-emergency (tele-ED) behavioural health is a promising solution for enhancing access to specialists and assisting in patient placement. This paper describes two tele-ED behavioural health models in the Midwest delivering mental- and substance use disorder services to rural and underserved adult populations. METHODS: We performed an in-depth examination of two tele-ED behavioural health programmes and their consultation processes. We provide a retrospective case-control analysis of patient characteristics, patient diagnoses, and disposition status for each model. Data were collected from 19 spoke hospitals across the two programmes between November 2015 and December 2017. RESULTS: Tele-ED was activated in 15% of the Avera Health sample and 58% of the Union Hospital sample. This is primarily a reflection of the sample selection process in each model and how each programme is operationalised. Suicide and/or poisoning by drugs were the most frequent diagnoses followed by mood disorders. Rate of transfer to another inpatient facility was much higher for tele-ED cases than controls in both models. DISCUSSION: This paper describes how two distinct tele-ED behavioural health models operating in unique contexts address challenges in access and placement for patients in rural and underserved areas presenting to EDs with behavioural health conditions. The notable difference in disposition rates between cases and controls is indicative of the impact each model is having on care practices and processes.