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A Quantitative Framework Classifying the Palliative Care Workforce into Specialist and Generalist Components.
Grace Su Yin Pang1,2, Li Min Qu2, Yin Yee Wong2
11 Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore .
A Pareto-based framework can guide the sustainable delivery of palliative care (PC) by differentiating generalist and specialist PC services. This approach supports a workforce model with more generalist PC staff and fewer specialists.
Area of Science:
- Palliative Care
- Health Services Research
Background:
- Early palliative care (PC) referral improves quality of life in advanced cancer.
- Workforce limitations challenge sustainable PC delivery.
- A quantitative framework for classifying PC services is needed.
Purpose of the Study:
- Develop a quantitative framework for classifying PC services into specialist and generalist components.
- Utilize data from a PC benchmarking project for this framework.
Main Methods:
- Retrospective analysis of clinical data from 2726 inpatients over 2 years.
- Examined symptom and distress scores, and PC team visit frequency.
- Data from 3392 palliative care episodes were analyzed.
Main Results:
- Over 50% of patients had mild or no distress at episode start/end.
- A minority of patients (approx. 20%) accounted for half of PC team visits.
- This patient subgroup often presented with moderate/severe pain, indicating a Pareto distribution.
Conclusions:
- Large-scale data support a Pareto-based quantitative framework for PC service classification.
- This framework enables a sustainable workforce model with generalist PC staff supported by specialists.
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