Literature DB >> 33999660

Evaluation of Oncology Hospital at Home: Unplanned Health Care Utilization and Costs in the Huntsman at Home Real-World Trial.

Kathi Mooney1, Karen Titchener1, Benjamin Haaland1, Lorinda A Coombs2, Brock O'Neil1, Richard Nelson1, Jordan P McPherson1, Anne C Kirchhoff1, Anna C Beck1, John H Ward1.   

Abstract

PURPOSE: Patients with cancer experience high rates of morbidity and unplanned health care utilization and may benefit from new models of care. We evaluated an adult oncology hospital at home program's rate of unplanned hospitalizations and health care costs and secondarily, emergency department (ED) use, length of hospital stays, and intensive care unit (ICU) admissions during the 30 days after enrollment.
METHODS: We conducted a prospective, nonrandomized, real-world cohort comparison of 367 hospitalized patients with cancer-169 patients consecutively admitted after hospital discharge to Huntsman at Home (HH), a hospital-at-home program, compared with 198 usual care patients concurrently identified at hospital discharge. All patients met clinical criteria for HH admission, but those in usual care lived outside the HH service area. Primary outcomes were the number of unplanned hospitalizations and costs during the 30 days after enrollment. Secondary outcomes included length of hospital stays, ICU admissions, and ED visits during the 30 days after enrollment.
RESULTS: Groups were comparable except that more women received HH care. In propensity-weighted analyses, the odds of unplanned hospitalizations was reduced in the HH group by 55% (odds ratio, 0.45, 95% CI, 0.29 to 0.70; P < .001) and health care costs were 47% lower (mean cost ratio, 0.53; 95% CI, 0.39 to 0.72; P < .001) over the 30-day period. Secondary outcomes also favored HH. Total hospital stay days were reduced by 1.1 days (P = .004) and ED visits were reduced by 45% (odds ratio, 0.55; 95% CI, 0.33 to 0.92; P = .022). There was no evidence of a difference in ICU admissions (P = .972).
CONCLUSION: This oncology hospital at home program shows initial promise as a model for oncology care that may lower unplanned health care utilization and health care costs.

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Year:  2021        PMID: 33999660      PMCID: PMC8478372          DOI: 10.1200/JCO.20.03609

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   50.717


  27 in total

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Journal:  J Oncol Pract       Date:  2018-02-08       Impact factor: 3.840

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8.  Out-of-Pocket Spending and Financial Burden Among Medicare Beneficiaries With Cancer.

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9.  Double-adjustment in propensity score matching analysis: choosing a threshold for considering residual imbalance.

Authors:  Tri-Long Nguyen; Gary S Collins; Jessica Spence; Jean-Pierre Daurès; P J Devereaux; Paul Landais; Yannick Le Manach
Journal:  BMC Med Res Methodol       Date:  2017-04-28       Impact factor: 4.615

10.  The Guy's and St Thomas's NHS Foundation Trust @home service: an overview of a new service.

Authors:  Geraldine A Lee; Karen Titchener
Journal:  London J Prim Care (Abingdon)       Date:  2016-07-29
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  7 in total

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2.  Acute home-based care for patients with cancer to avoid, substitute, and follow emergency department visits: a conceptual framework using Porter's Five Forces.

Authors:  Christopher W Baugh; Stephen C Dorner; David M Levine; Nathan R Handley; Kathi H Mooney
Journal:  Emerg Cancer Care       Date:  2022-07-01

3.  Cost of home hospitalization versus inpatient hospitalization inclusive of a 30-day post-acute period.

Authors:  Pamela M Saenger; Katherine A Ornstein; Melissa M Garrido; Sara Lubetsky; Evan Bollens-Lund; Linda V DeCherrie; Bruce Leff; Albert L Siu; Alex D Federman
Journal:  J Am Geriatr Soc       Date:  2022-02-25       Impact factor: 7.538

4.  Supportive oncology care at home interventions: protocols for clinical trials to shift the paradigm of care for patients with cancer.

Authors:  Ryan D Nipp; Eliza Shulman; Melissa Smith; Patricia M C Brown; P Connor Johnson; Eva Gaufberg; Charu Vyas; Carolyn L Qian; Isabel Neckermann; Shira B Hornstein; Mathew J Reynolds; Joseph Greer; Jennifer S Temel; Areej El-Jawahri
Journal:  BMC Cancer       Date:  2022-04-09       Impact factor: 4.430

5.  A machine learning framework supporting prospective clinical decisions applied to risk prediction in oncology.

Authors:  Lorinda Coombs; Abigail Orlando; Xiaoliang Wang; Pooja Shaw; Alexander S Rich; Shreyas Lakhtakia; Karen Titchener; Blythe Adamson; Rebecca A Miksad; Kathi Mooney
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6.  Home hospital as a disposition for older adults from the emergency department: Benefits and opportunities.

Authors:  Kei Ouchi; Shan Liu; Daniel Tonellato; Yonatan G Keschner; Maura Kennedy; David M Levine
Journal:  J Am Coll Emerg Physicians Open       Date:  2021-07-21

7.  Lessons for Oncology From the COVID-19 Pandemic: Operationalizing and Scaling Virtual Cancer Care in Health Systems.

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Journal:  Cancer J       Date:  2022 Mar-Apr 01       Impact factor: 2.074

  7 in total

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