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Shared decision making: A dual-layer model to tackling multimorbidity in primary care
Chirk Jenn Ng1, Yew Kong Lee1, Adina Abdullah1
1Department of Primary Care Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
Primary care providers (PCPs) can improve managing complex multimorbidity by using a dual-layer shared decision-making approach. This method helps PCPs and patients prioritize health issues and treatments effectively within limited consultation times.
Area of Science:
- Primary Care Medicine
- Health Services Research
- Shared Decision-Making
Background:
- Primary care providers (PCPs) frequently manage patients with complex multimorbidity.
- PCPs face challenges due to short consultation times and limited access to multidisciplinary teams.
- Existing models struggle to address multiple health issues efficiently in primary care.
Purpose of the Study:
- To propose a novel dual-layer shared decision-making (SDM) approach for managing multimorbidity in primary care.
- To enhance the feasibility and time-effectiveness of consultations for PCPs and patients.
- To address the challenges of limited healthcare resources and short consultation durations.
Main Methods:
- A case study in the Malaysian primary care setting.
- Introduction of a dual-layer SDM model involving joint prioritization of diseases (layer 1) and treatments (layer 2).
- Focus on discussion, negotiation, and agreement between PCPs and patients during consultations.
Main Results:
- The proposed dual-layer SDM model facilitates joint decision-making on health priorities.
- It offers a structured approach to tackle complex patient needs within primary care constraints.
- The model aims to improve patient care by ensuring agreed-upon health needs are addressed.
Conclusions:
- The dual-layer SDM approach is a feasible strategy for PCPs managing complex multimorbidity.
- This model optimizes limited consultation time and healthcare resources.
- It empowers patients and PCPs to collaboratively prioritize care, improving health outcomes.
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