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Updated: Aug 24, 2025

Assessment of Dependence in Activities of Daily Living Among Older Patients in an Acute Care Unit
Published on: September 30, 2020
[Factors associated with the hospital at home workload: A Delphi consensus study]
K Vrotsou1, M Orive-Calzada2, N González3
1Instituto de Investigación Sanitaria Biodonostia, Grupo de Atención Primaria, San Sebastián, Guipúzcoa, España; Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC); Red de Investigación en Cronicidad, Atención Primaria y Promoción de la Salud (RICAPPS), España.
This study identified 14 key factors impacting the workload of hospital at home (HaH) professionals, focusing on patient residence, health, social situation, and care delivery. These findings aim to optimize HaH operations.
Area of Science:
- Healthcare Management
- Nursing Research
- Health Services Research
Context:
- Hospital at Home (HaH) services are expanding, necessitating an understanding of professional workload.
- Effective management of HaH requires identifying and prioritizing workload factors.
- Previous research has not comprehensively addressed the multifaceted factors contributing to HaH professional workload.
Purpose:
- To identify and prioritize factors contributing to the workload of hospital at home (HaH) professionals.
- To develop a comprehensive list of workload determinants for HaH practitioners.
- To provide a foundation for optimizing HaH service delivery and professional well-being.
Summary:
- A qualitative study utilized a systematic literature review, expert group meetings, Delphi technique, and nominal group meetings to identify workload factors.
- Initially 85 factors were identified, refined through expert consensus to a final list of 14.
- Key factors relate to patient residence, health status, social situation, and the nature of home-based healthcare delivery.
Impact:
- The identified factors can inform organizational improvements and workflow optimization for HaH professionals.
- Findings support enhanced resource allocation and policy development for HaH services.
- This research contributes to improving the sustainability and efficiency of hospital at home models.
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