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Mapping the Dynamic Complexity of Chronic Disease Care in Singapore: Using Group Model Building in Knowledge Elicitation

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Date
2018-11-01
Authors
Ansah, JP
Matchar, DB
Koh, V
Schoenenberger, L
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Abstract
This study describes a group model building exercise that aims to develop a deeper understanding of the dynamic complexity of chronic disease care delivery within a primary care setting in Singapore, leveraging on the insights of stakeholders with personal and institutional knowledge of the health care system. A group model building exercise, which included 50 stakeholders, was used to develop the qualitative model. The qualitative model helped to bring a feedback perspective to understanding the dynamic complexity of chronic disease care delivery. The feedback perspective helped in identifying the systemic issues within chronic disease care delivery, which has the potential to inform system-wide interventions and policies to improve health. Enhancing chronic care in Singapore will require an enhancement of both the capacity and capability of the primary care sector. © 2018 John Wiley & Sons, Ltd.
Type
Journal article
Subject
Social Sciences
Management
Social Sciences, Interdisciplinary
Business & Economics
Social Sciences - Other Topics
primary care
health services
health policy
group model building
dynamic complexity
PATIENT SATISFACTION
HEALTH-CARE
GENERAL-PRACTICE
SYSTEM
QUALITY
COMMUNICATION
CONTINUITY
PHYSICIAN
PROVIDE
IMPACT
Permalink
https://hdl.handle.net/10161/22795
Published Version (Please cite this version)
10.1002/sres.2517
Publication Info
Ansah, JP; Matchar, DB; Koh, V; & Schoenenberger, L (2018). Mapping the Dynamic Complexity of Chronic Disease Care in Singapore: Using Group Model Building in Knowledge Elicitation. Systems Research and Behavioral Science, 35(6). pp. 759-775. 10.1002/sres.2517. Retrieved from https://hdl.handle.net/10161/22795.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
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Scholars@Duke

Matchar

David Bruce Matchar

Professor of Medicine
My research relates to clinical practice improvement - from the development of clinical policies to their implementation in real world clinical settings. Most recently my major content focus has been cerebrovascular disease. Other major clinical areas in which I work include the range of disabling neurological conditions, cardiovascular disease, and cancer prevention. Notable features of my work are: (1) reliance on analytic strategies such as meta-analysis, simulation, decision analy
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