Acuity Score to Predict Patient Hospitalization: A Useful Tool for Home-Based Palliative Care

Background: Developing better acuity models to predict hospital re-admissions is vital to providing high qualitive outpatient palliative care services. Objective: Determine if an acuity tool could accurately predict those patients with the highest risk for hospital admission within 30 days following a palliative medicine home visit. Design: A retrospective observational study evaluating an outpatient practitioner-administered acuity model to determine how different acuity scores corresponded with specific follow-up intervals. Setting/Subjects: The study was conducted in patients’ residences, analyzing home-based outpatient palliative care visits provided by Wellstar Health System clinicians across 4 Georgia counties. Results: Two hundred and ninety-one patients were included in our study. 78% of patients did not experience a hospital admission within 30 days following their most recent palliative medicine home visit, while 22% (n = 64) did. The average overall acuity score was 10.93. The average acuity score for the individuals not admitted was 9.66, while the score for those admitted was 15.44. Conclusion: The acuity score was a significant predictor of the probability of hospitalization ( P < .0001), and the odds of a hospitalization increased by 7.0% for each additional unit in the acuity score.

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Publication Details

Journal
Home Health Care Management & Practice
Published
2026-01-28
DOI
https://doi.org/10.1177/10848223251414421
Primary Topic
Frailty in Older Adults
Type
article
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article

Acuity Score to Predict Patient Hospitalization: A Useful Tool for Home-Based Palliative Care

Vedika Rajasekaran, Anjali Grandhige, Herman E. Ray, Michelle Park et al.
Home Health Care Management & Practice
Frailty in Older Adults
article

Acuity Score to Predict Patient Hospitalization: A Useful Tool for Home-Based Palliative Care

Vedika Rajasekaran, Anjali Grandhige, Herman E. Ray, Michelle Park, LaShonte’ Thomas-Shaw
article en

Abstract

Background: Developing better acuity models to predict hospital re-admissions is vital to providing high qualitive outpatient palliative care services. Objective: Determine if an acuity tool could accurately predict those patients with the highest risk for hospital admission within 30 days following a palliative medicine home visit. Design: A retrospective observational study evaluating an outpatient practitioner-administered acuity model to determine how different acuity scores corresponded with specific follow-up intervals. Setting/Subjects: The study was conducted in patients’ residences, analyzing home-based outpatient palliative care visits provided by Wellstar Health System clinicians across 4 Georgia counties. Results: Two hundred and ninety-one patients were included in our study. 78% of patients did not experience a hospital admission within 30 days following their most recent palliative medicine home visit, while 22% (n = 64) did. The average overall acuity score was 10.93. The average acuity score for the individuals not admitted was 9.66, while the score for those admitted was 15.44. Conclusion: The acuity score was a significant predictor of the probability of hospitalization ( P < .0001), and the odds of a hospitalization increased by 7.0% for each additional unit in the acuity score.

Home Health Care Management & Practice
Kennesaw State University (US), WellStar Kennestone Hospital (US)
Openalex Percentile: Top 76%
Frailty in Older Adults
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Acuity Score to Predict Patient Hospitalization: A Useful Tool for Home-Based Palliative Care — Vedika Rajasekaran, Anjali Grandhige, et al. · Home Health Care Management & Practice (2026) | TGRS Research Map | TGRS