Asset Details
Do you wish to reserve the book?
LINKING HEALTH ATTRIBUTES TO ACUTE-CARE USAGE IN SOUTH FLORIDA VETERANS, A PILOT SURVEY STUDY
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
LINKING HEALTH ATTRIBUTES TO ACUTE-CARE USAGE IN SOUTH FLORIDA VETERANS, A PILOT SURVEY STUDY
Do you wish to request the book?
LINKING HEALTH ATTRIBUTES TO ACUTE-CARE USAGE IN SOUTH FLORIDA VETERANS, A PILOT SURVEY STUDY
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
LINKING HEALTH ATTRIBUTES TO ACUTE-CARE USAGE IN SOUTH FLORIDA VETERANS, A PILOT SURVEY STUDY
2023
Overview
Abstract
“High-Need, High-Risk” (HNHR) Veteran patients are identified quarterly by the Department of Veterans Affairs (VA) as having the top 5% predicted probability of hospitalization or mortality. We fielded a pilot survey to 2,543 older “HNHR” Veterans receiving care at the Miami VA Medical Center between October 2017 and September 2018, where 634 replied; mean age 70.61, standard deviation, 8.98, racially/ethnically White (403, 61.24%), Black (240, 36.47%), Hispanic (537, 81.61%) and nineteen women (3%). The survey contained 42 self-reported questions covering physical, mental, and social determinants of health, and access/use of healthcare resources. Two measured prior 6-month acute-care utilization outcomes: emergency room visits (ERV) and inpatient hospital admissions (IHA). Logistic regression was used to find health attributes associated with both outcomes, and latent class analysis was used to group Veterans into clinically relevant latent classes, analyzing health attributes endorsed by each. We found that transportation access issues to receiving healthcare were associated with both outcomes (OR = 2.980, p = 0.014), underscoring the role of social determinants of health. Self-perceptions of general health (OR = 0.806, p = 0.04), and a Veteran attending the Miami VA frailty clinic (OR = 0.435, p < 0.001), were associated with ERV and IHA, respectively. We identified four latent classes distinctly grouping patients by endorsing 1) depression; 2) not having a caregiver and being unmarried; 3) functional issues, and 4) being homebound and receiving home healthcare. These latent classes will help better inform clinical recommendations and program development to better meet needs for “HNHR” Veterans.
Publisher
Oxford University Press
Subject
