COVID-19 Exacerbated Long-standing Challenges for the Home Care Workforce.

The purpose of this study was to understand staffing challenges faced by home care (including home health) agencies due to the COVID-19 pandemic and the policies and practices put into place by the federal government, state governments, and home care agencies themselves to mitigate these challenges. This study included a review of federal and state policy changes enacted in reaction to the pandemic from March through December 2020, a review of home care agency practices described in media reports, peer-reviewed literature, and gray literature focused on responses to workforce challenges encountered during the pandemic, and interviews with a variety of stakeholders. Some of the challenges encountered were entirely new and resulted directly from the pandemic. In other cases, the pandemic worsened long-standing challenges in the industry. States and the federal government addressed some of these issues through changes to policies, regulations, and guidance. Home care agencies also responded with changes to their own policies and practices.

Development of a Risk-adjustment Model for the Inpatient Rehabilitation Facility Discharge Self-care Functional Status Quality Measure.

BACKGROUND: Functional status measures are important patient-centered indicators of inpatient rehabilitation facility (IRF) quality of care. We developed a risk-adjusted self-care functional status measure for the IRF Quality Reporting Program. This paper describes the development and performance of the measure's risk-adjustment model. METHODS: Our sample included IRF Medicare fee-for-service patients from the Centers for Medicare & Medicaid Services' 2008-2010 Post-Acute Care Payment Reform Demonstration. Data sources included the Continuity Assessment Record and Evaluation Item Set, IRF-Patient Assessment Instrument, and Medicare claims. Self-care scores were based on 7 Continuity Assessment Record and Evaluation items. The model was developed using discharge self-care score as the dependent variable, and generalized linear modeling with generalized estimation equation to account for patient characteristics and clustering within IRFs. Patient demographics, clinical characteristics at IRF admission, and clinical characteristics related to the recent hospitalization were tested as risk adjusters. RESULTS: A total of 4769 patient stays from 38 IRFs were included. Approximately 57% of the sample was female; 38.4%, 75-84 years; and 31.0%, 65-74 years. The final model, containing 77 risk adjusters, explained 53.7% of variance in discharge self-care scores (P<0.0001). Admission self-care function was the strongest predictor, followed by admission cognitive function and IRF primary diagnosis group. The range of expected and observed scores overlapped very well, with little bias across the range of predicted self-care functioning. CONCLUSIONS: Our risk-adjustment model demonstrated strong validity for predicting discharge self-care scores. Although the model needs validation with national data, it represents an important first step in evaluation of IRF functional outcomes.

A novel program for ABSN students to generate interest in geriatrics and geriatric nursing research.

The current shortage of nurse researchers in geriatrics adversely affects the capacity of nurses to conduct research to advance the evidence-based care of older adults. In an effort to generate interest in geriatrics and geriatric nursing research, the Duke University School of Nursing designed a summer internship for four students enrolled in the accelerated baccalaureate nursing (ABSN) program. This paper describes the experience of these ABSN students and the staff and faculty who worked with them. The program design, staff and faculty experiences, benefits and challenges, as well as recommendations for future programs are discussed. The purpose of this article is to highlight the benefits and challenges of offering research experiences to nursing students in an ABSN program to stimulate interest in geriatrics and geriatric nursing research.