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Individual- and Community-Level Predictors of Hospital-at-Home Outcomes.
- Source :
-
Population Health Management . Jun2024, Vol. 27 Issue 3, p168-173. 6p. - Publication Year :
- 2024
-
Abstract
- Advanced Care at Home is a Mayo Clinic hospital-at-home (HaH) program that provides hospital-level care for patients. The study examines patient- and community-level factors that influence health outcomes. The authors performed a retrospective study using patient data from July 2020 to December 2022. The study includes 3 Mayo Clinic centers and community-level data from the Agency for Healthcare Research and Quality. The authors conducted binary logistic regression analyses to examine the relationship among the independent variables (patient- and community-level characteristics) and dependent variables (30-day readmission, mortality, and escalation of care back to the brick-and-mortar hospital). The study examined 1433 patients; 53% were men, 90.58% were White, and 68.2% were married. The mortality rate was 2.8%, 30-day readmission was 11.4%, and escalation back to brick-and-mortar hospitals was 8.7%. At the patient level, older age and male gender were significant predictors of 30-day mortality (P-value <0.05), older age was a significant predictor of 30-day readmission (P-value <0.05), and severity of illness was a significant predictor for readmission, mortality, and escalation back to the brick-and-mortar hospital (P-value <0.01). Patients with COVID-19 were less likely to experience readmission, mortality, or escalations (P-value <0.05). At the community level, the Gini Index and internet access were significant predictors of mortality (P-value <0.05). Race and ethnicity did not significantly predict adverse outcomes (P-value >0.05). This study showed promise in equitable treatment of diverse patient populations. The authors discuss and address health equity issues to approximate the vision of inclusive HaH delivery. [ABSTRACT FROM AUTHOR]
- Subjects :
- *HOME care services
*RISK assessment
*INTERNET access
*HEALTH services accessibility
*SOCIAL determinants of health
*LOGISTIC regression analysis
*PATIENT readmissions
*SEX distribution
*TREATMENT effectiveness
*RETROSPECTIVE studies
*DESCRIPTIVE statistics
*AGE distribution
*SEVERITY of illness index
*TRANSITIONAL care
*TELEMEDICINE
*DATA analysis software
*COVID-19
*POVERTY
MORTALITY risk factors
Subjects
Details
- Language :
- English
- ISSN :
- 19427891
- Volume :
- 27
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Population Health Management
- Publication Type :
- Academic Journal
- Accession number :
- 177992445
- Full Text :
- https://doi.org/10.1089/pop.2023.0297