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A Comprehensive Framework for Hospital@Home Care Models.
Denecke, Kerstin; Kushniruk, Andre W; Borycki, Elizabeth M.
Affiliation
  • Denecke K; Institute Patient-centered Digital Health, Bern University of Applied Sciences, Switzerland.
  • Kushniruk AW; School of Health Information Science, University of Victoria, Canada.
  • Borycki EM; School of Health Information Science, University of Victoria, Canada.
Stud Health Technol Inform ; 314: 27-31, 2024 May 23.
Article in En | MEDLINE | ID: mdl-38784998
ABSTRACT
Hospital@home is a healthcare approach, where patients receive active treatment from health professionals in their own home for conditions that would normally necessitate a hospital stay.

OBJECTIVE:

To develop a framework of relevant features for describing hospital@home care models.

METHODS:

The framework was developed based on a literature review and thematic analysis. We considered 42 papers describing hospital@home care approaches. Extracted features were grouped and aggregated in a framework.

RESULTS:

The framework consists of nine dimensions Persons involved, target patient population, service delivery, intended outcome, first point of contact, technology involved, quality, and data collection. The framework provides a comprehensive list of required roles, technologies and service types.

CONCLUSION:

The framework can act as a guide for researchers to develop new technologies or interventions to improve hospital@home, particularly in areas such as tele-health, wearable technology, and patient self-management tools. Healthcare providers can use the framework as a guide or blueprint for building or expanding upon their hospital@home services.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Telemedicine Limits: Humans Language: En Journal: Stud Health Technol Inform Journal subject: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Year: 2024 Document type: Article Affiliation country: Suiza Country of publication: Países Bajos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Telemedicine Limits: Humans Language: En Journal: Stud Health Technol Inform Journal subject: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Year: 2024 Document type: Article Affiliation country: Suiza Country of publication: Países Bajos