Introduction The global pandemic due to SARS‐CoV‐2 has resulted in an expansion of telemedicine. Measures of quality and barriers for rapid use by patients and physicians are not well described. Objective To describe results from a quality improvement initiative during a rapid adoptive phase of telemedicine during the pandemic. Design Patient and physician satisfaction with synchronous audiovisual telemedicine visits was measured during the early adoptive phase (6 April 2020‐17 April 2020) within the division of sports medicine in an academic Physical Medicine and Rehabilitation (PM&R) department. Patients were invited to participate in a quality improvement initiative by completing an online survey at the end of a telemedicine visit. Physicians completed a separate survey. Primary Outcome Measures Patient measures included visit type, duration of encounter, quality, and satisfaction. Physicians reported on experiences performed telemedicine. Results Surveys were completed by 119 patients (293 telemedicine encounters, response rate 40.6%) and 14 physiatrists. Telemedicine was utilized primarily for follow‐up visits (n = 74, 70.6%), and the most common duration was 15 to 29 minutes. Patients rated their telemedicine visit as “excellent” or “very good” across measures (91.6%‐95.0%) including addressing concerns, communication, developing a treatment plan, convenience, and satisfaction. Value of completing a future telemedicine visit was measured at 84.9%. Most reported estimated travel time saved was in excess of 30 minutes. Rate of no‐show was 2.7%. Most physicians (57.1%) had no prior experience with telemedicine visits, and most were comfortable performing these visits after completing 1 to 4 sessions (71%). Nearly all physicians (92.9%) rated their telemedicine experience as very good or excellent. The key barrier identified for telemedicine was technical issues. All physicians reported plans to perform telemedicine visits if reimbursement continues. Conclusions In summary, rapid expansion of telemedicine during the COVID‐19 pandemic was well‐received by a majority of patients and physicians. This suggests feasibility in rapid expansion of telemedicine for other outpatient sports medicine practices.

Telehealth refers to health care interactions that leverage telecommunication devices to provide medical care outside the traditional face-to-face, in-person medical encounter. Technology advances and research have expanded use of telehealth in health care delivery. Physical medicine and rehabilitation providers may use telehealth to deliver care to populations with neurologic and musculoskeletal conditions, commonly treated in both acute care and outpatient settings. Patients with impaired mobility and those living in locations with reduced access to care may particularly benefit. Video-teleconferencing has been shown to be effective for management of burn patients during acute rehabilitation, including reduced health care use expenses and less disruptions to care. Telehealth can facilitate developing interprofessional care plans. Patients with neurologic conditions including stroke, spinal cord injury, traumatic brain injury, and amyotrophic lateral sclerosis may use telehealth to monitor symptoms and response to treatment. Telehealth also may facilitate occupational and physical therapy programs as well as improve weight management and skin care in patients with chronic conditions. Other applications include imaging review in sports medicine, symptom management and counseling in concussion, traumatic brain injury, and pain management programs. Limitations of telehealth include barriers in establishing relationship between medical provider and patient, ability to perform limited physical examination, and differences in payment models and liability coverage. The expansion of telehealth services is expected to grow and has potential to improve patient satisfaction by delivering high quality and value of care.

OBJECTIVE:To examine functional status versus medical comorbidities as predictors of acute care readmissions in medically complex patients. DESIGN: Retrospective database study. SETTING: U.S. inpatient rehabilitation facilities. PARTICIPANTS: Subjects included 120,957 patients in the Uniform Data System for Medical Rehabilitation admitted to inpatient rehabilitation facilities under the medically complex impairment group code between 2002 and 2011. INTERVENTIONS: A Basic Model based on gender and functional status was developed using logistic regression to predict the odds of 3-, 7-, and 30-day readmission from inpatient rehabilitation facilities to acute care hospitals. Functional status was measured by the FIM ® motor score. The Basic Model was compared to six other predictive models-three Basic Plus Models that added a comorbidity measure to the Basic Model and three GenderComorbidity Models that included only gender and a comorbidity measure. The three comorbidity measures used were the Elixhauser index, Deyo-Charlson index, and Medicare comorbidity tier system. The c-statistic was the primary measure of model performance. MAIN OUTCOME MEASURES: We investigated 3-, 7-, and 30-day readmission to acute care hospitals from inpatient rehabilitation facilities. RESULTS: Basic Model c-statistics predicting 3-, 7-, and 30-day readmissions were 0.69, 0.64, and 0.65, respectively. The best-performing Basic Plus Model (Basic+Elixhauser) c-statistics were only 0.02 better than the Basic Model, and the best-performing GenderComorbidity Model (Gender+Elixhauser) c-statistics were more than 0.07 worse than the Basic Model. CONCLUSIONS:Readmission models based on functional status consistently outperform models based on medical comorbidities. There is opportunity to improve current national readmission risk models to more accurately predict readmissions by incorporating functional data.