Mapping the Landscape of Hospital at Home (HaH) Care: A Validated Taxonomy for HaH Care Model Classification DOI Creative Commons
Kerstin Denecke

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 20, 2024

Abstract Background: Hospital at home (HaH) care models have gained significant attention due to their potential reduce healthcare costs, improve patient satisfaction, and lower readmission rates. However, the lack of a standardized classification system has hindered systematic evaluation comparison these models. Taxonomies serve as systems that simplify complexity enhance understanding within specific domain. Objective: This paper introduces comprehensive taxonomy HaH models, aiming categorize compare various ways services are delivered an alternative traditional hospital care. Methods: We developed characteristics for based on scientific literature by applying development framework. To validate taxonomy, analyze current landscape we matched described in literature. Finally, identify archetypes applied k-means clustering method using taxonomy. Results: Our consists 12 unique dimensions structured into 5 perspectives following progression from triaging, through delivery, operational processes, metrics success: Persons roles (2 dimensions), Target population (1 dimension), Service delivery model (6 outcomes quality dimensions),and training education dimension). Each dimension aggregates between 1 20 characteristics. We identified three clusters dataset 34 approaches. Conclusions: The offers valuable framework providers, policymakers, researchers systematically evaluate implement The challenges encountered collecting information different underscore urgent need more standardised reporting papers interventions.

Language: Английский

Mapping the landscape of Hospital at home (HaH) care: a validated taxonomy for HaH care model classification DOI Creative Commons
Kerstin Denecke

BMC Health Services Research, Journal Year: 2025, Volume and Issue: 25(1)

Published: Jan. 15, 2025

Hospital at home (HaH) care models have gained significant attention due to their potential reduce healthcare costs, improve patient satisfaction, and lower readmission rates. However, the lack of a standardized classification system has hindered systematic evaluation comparison these models. Taxonomies serve as systems that simplify complexity enhance understanding within specific domain. This paper introduces comprehensive taxonomy HaH models, aiming categorize compare various ways services are delivered an alternative traditional hospital care. We developed characteristics for based on scientific literature by applying development framework. To validate taxonomy, analyze current landscape we matched described in literature. Finally, identify types implementations, applied k-means clustering method represented using taxonomy. Our consists 12 unique dimensions structured into 5 perspectives following progression from triaging, through delivery, operational processes, metrics success: Persons roles (2 dimensions), Target population (1 dimension), Service delivery model (6 outcomes quality training education dimension). Cluster analysis 34 revealed three distinct types: One cluster (50%, 17/34) focuses eligibility environment suitability, be chosen clinically complex patients. A second (29.4%, 10/34) aggregates technology-enabled telemedicine remote monitoring adaptable across settings. type could generalizable The third (20.6%, 7/34) includes interventions involving informal caregivers advanced medical devices, requiring caregiver training, supportive policies, user-friendly technology burden safety. clusters identified highlight practical considerations adapting approaches contextual needs. These findings can guide policymakers developing guidelines assist practitioners tailoring populations. challenges encountered collecting information different underscore urgent need more reporting papers interventions.

Language: Английский

Citations

0
Mapping the Landscape of Hospital at Home (HaH) Care: A Validated Taxonomy for HaH Care Model Classification DOI Creative Commons
Kerstin Denecke

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 20, 2024

Abstract Background: Hospital at home (HaH) care models have gained significant attention due to their potential reduce healthcare costs, improve patient satisfaction, and lower readmission rates. However, the lack of a standardized classification system has hindered systematic evaluation comparison these models. Taxonomies serve as systems that simplify complexity enhance understanding within specific domain. Objective: This paper introduces comprehensive taxonomy HaH models, aiming categorize compare various ways services are delivered an alternative traditional hospital care. Methods: We developed characteristics for based on scientific literature by applying development framework. To validate taxonomy, analyze current landscape we matched described in literature. Finally, identify archetypes applied k-means clustering method using taxonomy. Results: Our consists 12 unique dimensions structured into 5 perspectives following progression from triaging, through delivery, operational processes, metrics success: Persons roles (2 dimensions), Target population (1 dimension), Service delivery model (6 outcomes quality dimensions),and training education dimension). Each dimension aggregates between 1 20 characteristics. We identified three clusters dataset 34 approaches. Conclusions: The offers valuable framework providers, policymakers, researchers systematically evaluate implement The challenges encountered collecting information different underscore urgent need more standardised reporting papers interventions.

Language: Английский

Citations

0