Using the Outcome and Assessment Information Set to Measure Patient Health Status in Research: A Systematic Review.

OBJECTIVES: To review, evaluate, and synthesize existing literature on how health status changes were measured using the Outcome and Assessment Information Set (OASIS). DESIGN: Systematic review. SETTING AND PARTICIPANTS: Studies were included if they examined the health status of adult patients at 2 or more time points using OASIS, which is a comprehensive assessment tool mandated for home health (HH) patients. METHODS: A systematic search was conducted in PubMed, CINAHL, Embase, and Scopus. The methodological quality of the included studies was appraised using the National Institutes of Health quality assessment tool. RESULTS: The initial search yielded 1587 citations, resulting in 27 eligible studies published between 2005 and 2022. All included studies were retrospective cohort studies, with overall quality ranging from good to fair. These studies primarily targeted patients with heart failure, with sample sizes between 40 and 6,637,497 and mean ages of 61.2 to 82.4 years. OASIS version C was the most used version, comparing health status at admission and discharge. Patient health status outcomes encompassed functional (n = 24), physiological (n = 6), emotional/behavioral (n = 4), and cognitive (n = 2) outcomes. Various techniques were employed for scale standardization, compositing individual scores, measuring changes, and reporting outcomes. The predominant methods for assessing change included the corrected Likert scale for standardization, composite change scores for change calculation, and continuous outcomes for reporting. CONCLUSION AND IMPLICATIONS: Researchers have used OASIS to assess patient health status changes in functional, physiological, emotional/behavioral, and cognitive outcomes during the HH episode. Variations in OASIS items and assessment methods across studies have been observed. Our findings underscore the need to standardize item application in research, enabling researchers to synthesize evidence effectively and enhance understanding of patient recovery and HH services. For policymakers and health care providers, these insights could inform resource allocation, care planning, and tailored interventions, ultimately improving health care quality and efficiency.

Social Determinants of Health are Associated with Coping of Informal Caregivers of Adults with Heart Failure.

We explored the influence of social determinants of health (SDH) risk on stress and coping style in heart failure (HF) caregivers. In this cross-sectional study, data from 250 caregivers were analyzed. Multivariable linear regression analyses were performed to determine the extent to which SDH risk (measured using a modified PRAPARE tool (National Association of Community Health Centers), range 0-22) predicted stress (Perceived Stress Scale, 0-56) and coping style (active (0-45), avoidance (0-30), and minimization (0-30)) while accounting for caregiver burden (HF Caregiver Questionnaire (HF-CQ) 0-100). Multivariable regression analysis with backwards elimination variable selection approach was used to identify which SDH risk factors best predicted coping styles. SDH risk was significantly associated with avoidance and minimization coping styles. Each unit increase in SDH risk was associated with an increase of 0.6 ± 0.2 units (p = .0008) in avoidance and 0.7 ± 0.2 units (p < .0001) in minimization coping style. Race and "supporting others" significantly predicted avoidance coping style; scores were 3.3 ± 0.8 units greater for caregivers who were not White (p < .0001) and 1.4 ± 0.5 units greater (p < .01) for each additional person whom they supported. Race significantly predicted minimization coping style; scores were 4.4 ± 0.7 units greater for caregivers who were not White (p < .0001). Caregivers with higher SDH risk may avoid and minimize to cope with caregiving challenges.

Lessons learned from the implementation of a video health coaching technology intervention to improve self-care of family caregivers of adults with heart failure.

Individuals with heart failure (HF) typically live in the community and are cared for at home by family caregivers. These caregivers often lack supportive services and the time to access those services when available. Technology can play a role in conveniently bringing needed support to these caregivers. The purpose of this article is to describe the implementation of a virtual health coaching intervention with caregivers of HF patients ("Virtual Caregiver Coach for You"-ViCCY). A randomized controlled trial is currently in progress to test the efficacy of the intervention to improve self-care. In this trial, 250 caregivers will be randomly assigned to receive health information via a tablet computer (hereafter, tablet) plus 10 live health coaching sessions delivered virtually (intervention group; n = 125) or health information via a tablet only (control group; n = 125). Each tablet has specific health information websites preloaded. To inform others embarking on similar technology projects, here we highlight the technology challenges encountered with the first 15 caregivers who received the ViCCY intervention and the solutions used to overcome those challenges. Several adaptations to the implementation of ViCCY were needed to address hardware, software, and network connectivity challenges. Even with a well-designed research implementation plan, it is important to re-examine strategies at every step to solve implementation barriers and maximize fidelity to the intervention. Researcher and interventionist flexibility in adapting to new strategies is essential when implementing a technology-based virtual health coaching intervention.