This survey explored access to British Columbia (BC) hospital-based neurorehabilitation outpatient programs (HB-NROPs). Fifteen rehabilitation-focused healthcare providers were interviewed. Wait times for HB-NROPs were up to 3 months for initial appointments, and inclusion criteria were variable. Two HB-NROPs had occasional access to specialized physicians. Informal communication methods were preferred modes of collaboration. BC HB-NROPs varied in access, use of interdisciplinary care, and outcome measures used to measure performance. The lack of coverage for nonphysician services may be a barrier to collaborative care in the community. Future projects should explore solutions to improve funding and equal access to BC HB-NROPs.

It has been noted that as high as 20.3% of patients hospitalized for coronavirus disease 2019 (COVID-19) require intensive care unit (ICU) admission. This has most commonly been attributed to the development of acute respiratory distress syndrome. These patients require prolonged periods of ICU stay, averaging approximately 20 days. As people recover and are discharged, there will be a new pandemic of critical illness survivors. These patients would present with impairments and disabilities arising because of prolonged ICU stay as well as consequences of severe respiratory illness. The longer the duration of ICU stay, the higher is the risk for long-term physical, cognitive, and emotional impairments needing comprehensive and early rehabilitation. This article focuses on the indispensable role of early and interdisciplinary rehabilitation in effective disaster management, restoring functions, and improving quality of life in COVID survivors. It outlines how to practically expand rehabilitation services in a resource-limited country, such as India, and lists the limitations being faced that prevent the uniform application of rehabilitation services in India. This would help to deal with the rapid increase in demand of postacute care facilities, be it in hospital services, in the form of inpatient or outpatient rehabilitation or home care facilities, including telemedicine.

Objectives: The purpose of this exploratory study was to identify clinical predictors that could distinguish clients’ level of engagement in inpatient rehabilitation following stroke. Methods: This is a secondary analysis of pooled data from three randomized controlled trials that examined the effects of a behavioral intervention. The sample (n=208) consisted of clients with stroke who had cognitive deficits (Quick-EXIT≥3) and were admitted to inpatient rehabilitation facilities associated with a university medical center. Individuals with pre-morbid dementia, aphasia and mood disorders were excluded. The Pittsburgh Rehabilitation Participation Scale was used to measure engagement. Clinical predictors were measured using the Functional Independence Measure, National Institutes of Health Stroke Scale, Repeatable Battery for the Assessment of Neuropsychological Status, selected subtests of the Delis-Kaplan Executive Function System, Patient Health Questionnaire-9, and Chedoke McMaster Stroke Assessment. Simple logistic regression identified individual clinical predictors associated with engagement. Hierarchical logistic regression identified the strongest predictors of engagement. Results: Impairments in executive functions [mean D-KEFS, odds ratio (OR)=4.062; 95% confidence interval (CI)=.866, 19.051], impairments in visuospatial skills (RBANS Visuospatial Index Score, OR=3.940; 95% CI=1.317, 11.785), impairments in mood (Patient Health Questionnaire-9, OR=2.059, 95% CI=.953, 4.449), and male gender (OR=2.474; 95% CI=1.145, 5.374) predicted levels of engagement in inpatient rehabilitation after controlling for study intervention group, baseline stroke severity, and baseline disability. Conclusions: Executive functions, visuospatial skills, mood, and gender distinguished individuals with high or low engagement in inpatient rehabilitation following stroke. Further studies should examine additional factors that may influence engagement (therapist-client relationship, treatment expectancy). (JINS, 2018, 24, 572–583)