Journal of general internal medicine
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Patient- and caregiver-reported 23-item SymTrak scales were validated for monitoring clinically actionable symptoms and impairments associated with multiple chronic conditions (MCCs) in older adults. Items capture physical and emotional symptoms and impairments in physical and cognitive functioning. An abbreviated SymTrak is desirable when response burden is a concern. ⋯ SymTrak-8 total score demonstrates internal reliably, test-retest reliability, criterion validity, and sensitivity to change that are comparable to SymTrak-23. Thus, patient- or caregiver-reported SymTrak-8 is a viable option for identifying and monitoring the aggregate effect of symptoms and functional impairments in patients with multimorbidity when response burden is a concern.
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Our multidisciplinary research team is composed of 6 faculty with expertise in internal medicine, nephrology, maternal/fetal medicine, health services research, statistics, and community-based research, and 36 program staff including biostatisticians, nurses, program coordinators, program assistants, and medical assistants/phlebotomists. With the emergence of the COVID-19 pandemic and the impact it was having on our community, especially the ethnic minority population in inner-city Milwaukee, we felt it was critical to stay engaged and figure out how to ask meaningful research questions that are important to the community, are relevant to the times, and will lead to lasting change. While navigating this unprecedented challenge, our research team made difficult decisions but were able to engage our staff and respond to community needs. We organized our lessons learned to serve as a perspective on how to effectively remain committed to vision and serve our communities, while collecting evidence that can inform policy in difficult times.
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Post-hospital discharge follow-up appointments are intended to evaluate patients' recovery following a hospitalization, but it is unclear how appointment statuses are associated with readmissions. ⋯ The benefit of patients arriving to their post-discharge appointments compared with patients who missed their follow-up visits or had no follow-up scheduled, is only significant during first week post-discharge, suggesting that coordination within 1 week of discharge is critical in reducing 30-day readmissions.
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Self-rated health is a strong predictor of mortality and morbidity. Machine learning techniques may provide insights into which of the multifaceted contributors to self-rated health are key drivers in diverse groups. ⋯ Our analysis of BRFSS data show social determinants of health are prominent predictors of self-rated health in mid-life. Our work may demonstrate promising practices for using machine learning to advance health equity.