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Crafting Care That Fits: Workload and Capacity Assessments Complementing Decision Aids in Implementing Shared
Thomas H Wieringa1, Manuel F Sanchez-Herrera2, Nataly R Espinoza2
1Department of Medical Psychology, Amsterdam UMC, Amsterdam, Netherlands.
Managing chronic conditions requires coordinated care. Minimally disruptive medicine addresses patient workload-capacity imbalance for better health outcomes in multimorbidity.
Area of Science:
- Health Services Research
- Patient-Centered Care
- Chronic Disease Management
Background:
- High prevalence of chronic conditions (42%) and multimorbidity (23%) necessitates improved care coordination.
- Current care models can be burdensome, inefficient, and unsafe for patients with multiple health issues.
- Minimally disruptive medicine (MDM) offers a patient-centered approach to optimize care integration.
Purpose of the Study:
- To explore how minimally disruptive medicine can enhance care coordination for patients with chronic conditions.
- To introduce the cumulative complexity model and its focus on patient workload-capacity imbalance.
- To advocate for addressing workload-capacity imbalances in clinical decision-making for multimorbidity.
Main Methods:
- Conceptual review and proposal of the cumulative complexity model.
- Application of MDM principles to patient care strategies.
- Discussion of workload-capacity imbalance as a key factor in patient complexity.
Main Results:
- Minimally disruptive medicine provides a framework for patient-centered care aligned with life goals.
- The cumulative complexity model highlights patient workload-capacity imbalance as central to complexity.
- Integrating workload-capacity assessment can improve decision-making for patients with chronic conditions.
Conclusions:
- Minimally disruptive medicine and the cumulative complexity model offer practical strategies for managing multimorbidity.
- Addressing patient workload-capacity imbalance is crucial for efficient, safe, and supportive chronic care.
- Further discussion and clarification of workload-capacity imbalance are needed to support shared decision-making.
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