Abstract
Background
The number of Hospital-at-Home (HaH) programs rapidly increased during the COVID-19 pandemic and after issuance of Centers for Medicare and Medicaid Services’ (CMS) Acute Hospital Care at Home (AHCaH) waiver. However, there remains little evidence on effective strategies to equitably expand HaH utilization.
Objective
Evaluate the effects of a multifaceted implementation strategy on HaH utilization over time.
Design
Before and after implementation evaluation using electronic health record (EHR) data and interrupted time series analysis, complemented by qualitative interviews with key stakeholders.
Participants
Between December 2021 and December 2022, we identified adults hospitalized at six hospitals in North Carolina approved by CMS to participate in the AHCaH waiver program. Eligible adults met criteria for HaH transfer (HaH-eligible clinical condition, qualifying home environment). We conducted semi-structured interviews with 12 HaH patients and 10 referring clinicians.
Interventions
Two strategies were studied. The discrete implementation strategy (weeks 1–12) included clinician-directed educational outreach. The multifaceted implementation strategy (weeks 13–54) included ongoing clinician-directed educational outreach, local HaH assistance via nurse navigators, involvement of clinical service line executives, and individualized audit and feedback.
Measures
We assessed weekly averaged HaH capacity utilization, weekly counts of unique referring providers, and patient characteristics. We analyzed themes from qualitative data to determine barriers and facilitators to HaH use.
Results
Our evaluation showed week-to-week increases in HaH capacity utilization during the multifaceted implementation strategy period, compared to discrete-period trends (slope-change odds ratio—1.02, 1.01–1.04). Counts of referring providers also increased week to week, compared to discrete-period trends (slope-change means ratio—1.05, 1.03–1.07). The increase in HaH utilization was largest among rural residents (11 to 34%). Barriers included HaH-related information gaps and referral challenges; facilitators included patient-centeredness of HaH care.
Conclusions
A multifaceted implementation strategy was associated with increased HaH capacity utilization, provider adoption, and patient diversity. Health systems may consider similar, contextually relevant multicomponent approaches to equitably expand HaH.

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Data Availability:
De-identified datasets generated and analyzed during the study, codebook, and data collection tools may be available from the corresponding author on reasonable request.
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Acknowledgements:
The authors gratefully acknowledge Jennifer Priem, PhD, for her contributions to initial planning and study oversight and Ryan Burns, MS, for his assistance in managing project milestones. Additionally, the authors would like to thank the clinical leaders and clinical teams from the participating hospitals and the Atrium Health Hospital at Home program. Finally, the authors extend their gratitude to all of the study participants for sharing their time and insights.
Funding
Research reported in this publication was supported by the Duke Endowment under award number 6993-SP. The content is solely the responsibility of the authors and does not necessarily represent the official views of the Duke Endowment.
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Ethics Statement:
The study was approved by the Wake Forest University Health Sciences Institutional Review Board (IRB00082471) on September 27, 2021.
Conflict of Interest:
Dr. Kowalkowski reports receiving grant support from the National Institutes of Health, Agency for Healthcare Research and Quality, and Duke Endowment outside of the submitted work. Dr. McWilliams reports receiving grant support from the Duke Endowment outside of the submitted work. Dr. Murphy reports receiving salary support from Medically Home Group, Inc. All other authors have no conflicts to disclose.
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Kowalkowski, M., Stephens, C., Hetherington, T. et al. Effectiveness of a Multifaceted Implementation Strategy to Increase Equitable Hospital at Home Utilization: An Interrupted Time Series Analysis. J GEN INTERN MED 39, 2496–2504 (2024). https://doi.org/10.1007/s11606-024-08931-3
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DOI: https://doi.org/10.1007/s11606-024-08931-3


