Back to Search
Start Over
Team Size and Composition in Home Healthcare: Quantitative Insights and Six Model-Based Principles.
- Source :
- Healthcare (2227-9032); Nov2023, Vol. 11 Issue 22, p2935, 30p
- Publication Year :
- 2023
-
Abstract
- The aim of this constructive study was to develop model-based principles to provide guidance to managers and policy makers when making decisions about team size and composition in the context of home healthcare. Six model-based principles were developed based on extensive data analysis and in close interaction with practice. In particular, the principles involve insights in capacity planning, travel time, available effective capacity, contract types, and team manageability. The principles are formalized in terms of elementary mathematical models that capture the essence of decision-making. Numerical results based on real-life scenarios reveal that efficiency improves with team size, albeit more prominently for smaller teams due to diminishing returns. Moreover, it is demonstrated that the complexity of managing and coordinating a team becomes increasingly more difficult as team size grows. An estimate for travel time is provided given the size and territory of a team, as well as an upper bound for the fraction of full-time contracts, if split shifts are to be avoided. Overall, it can be concluded that an ideally sized team should serve (at least) around a few hundreds care hours per week. [ABSTRACT FROM AUTHOR]
- Subjects :
- TEAMS in the workplace
LENGTH of stay in hospitals
MEDICAL quality control
LABOR productivity
HOME care services
TRAVEL
TIME
QUANTITATIVE research
MEDICAL care
LABOR supply
COMPARATIVE studies
CONTRACTS
DECISION making
DESCRIPTIVE statistics
KAPLAN-Meier estimator
COMMUNICATION
RESEARCH funding
STATISTICAL models
MANAGEMENT
HEALTH care rationing
MEDICAL needs assessment
Subjects
Details
- Language :
- English
- ISSN :
- 22279032
- Volume :
- 11
- Issue :
- 22
- Database :
- Complementary Index
- Journal :
- Healthcare (2227-9032)
- Publication Type :
- Academic Journal
- Accession number :
- 173831052
- Full Text :
- https://doi.org/10.3390/healthcare11222935