Observational studyBMC health services research2019
The effect of adapting Hospital at Home to facilitate implementation and sustainment on program drift or voltage drop.
Observational study in BMC health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Implementation determinants, strategies and outcomes for scale-up of hospital-at-home: a systematic review.Implementation science communications · 2026Pooled it
- Exploring contextual barriers and facilitators to sustaining mental health integration in primary care: a mixed-methods analysis of adaptive mechanisms and multi-level dynamics in Lagos, Nigeria.Journal of global health · 2025Article
- Barriers and facilitators to scale-up of hospital-at-home: an observational cohort study protocol.Frontiers in health services · 2025Article
- Importance of early consideration of scaling and sustainability for aging-related care models: Case study of Hospital at Home.Journal of the American Geriatrics Society · 2024Article
- Continuous Temperature Telemonitoring of Patients with COVID-19 and Other Infectious Diseases Treated in Hospital-at-Home: VitureSensors (Basel, Switzerland) · 2024Article
- Consolidated guidance for behavioral intervention pilot and feasibility studies.Pilot and feasibility studies · 2024Article
- An integrated understanding of the impact of hospital at home: a mixed-methods study to articulate and test a programme theory.BMC health services research · 2024Review
- Expert Perspectives on Pilot and Feasibility Studies: A Delphi Study and Consolidation of Considerations for Behavioral Interventions.Research square · 2023Article
- An external facilitation intervention to increase uptake of an adverse drug event reporting intervention.Frontiers in health services · 2023Article
- Digital health as an enabler for hospital@home: A rising trend or just a vision?Frontiers in public health · 2023Review
- A research agenda for hospital at home.Journal of the American Geriatrics Society · 2022Article
- Hospital-at-Home Expands Hospital Capacity During COVID-19 Pandemic.Journal of the American Medical Directors Association · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
backgroundTranslating evidence-based interventions from study conditions to actual practice necessarily requires adaptation. We implemented an evidence-based Hospital at Home (HaH) intervention and evaluated whether adaptations could avoid diminished benefit from "voltage drop" (decreased benefit when interventions are applied under more heterogeneous conditions than existing in studies) or "program drift." (decreased benefit arising from deviations from study protocols).
methodsPatients were enrolled in HaH over a 6-month pilot period followed by nine quarters of implementation activity. The program retained core components of the original evidence-based HaH model, but adaptations were made at inception and throughout the implementation. These adaptations were coded as to who made them, what was modified, for whom the adaptations were made, and the nature of the adaptations. We collected information on length of stay (LOS), 30-day readmissions and emergency department (ED) visits, escalations to the hospital, and patient ratings of care. Outcomes were assessed by quarter of admission. Selected outcomes were tracked and fed back to the program leadership. We used logistic or linear regression with an independent variable included for the numerical quarter of enrollment after the initial 6-month pilot phase. Models controlled for season and for patient characteristics.
resultsAdaptations were made throughout the implementation period. The nature of adaptations was most commonly to add or to substitute new program elements. HaH services substituting for a hospital stay were received by 295 patients (a mean of 33, range 11-44, per quarter). A small effect of quarter from program inception was seen for escalations (OR 1.09, 95% CI 1.01 to 1.18, p = 0.03), but no effect was observed for LOS (- 0.007 days/quarter; SE 0.02, p = 0.75), 30 day ED visit (OR 0.93, 95% CI 0.86 to 1.01, p = 0.09), 30-day readmission (OR 1.00, 95% CI 0.93 to 1.08, p = 0.99), or patient rating of overall hospital care (OR for highest overall rating 0.99, 95% CI 0.93 to 1.05, p = 0.66).
conclusionsWe made adaptations to HaH at inception and over the course of implementation. Our findings indicate that adaptations to evidence-based programs may avoid diminished benefits due to potential 'program drift' or 'voltage drop.'
trial registrationNot applicable. This study is not a clinical trial by the International Committee of Medical Journal Editors (ICMJE) definition because it is an observational study "in which the assignment of the medical intervention is not at the discretion of the investigator."
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