Mapping the Dynamic Complexity of Chronic Disease Care in Singapore: Using Group Model Building in Knowledge Elicitation
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 articleSubject
Social SciencesManagement
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
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https://hdl.handle.net/10161/22795Published Version (Please cite this version)
10.1002/sres.2517Publication 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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Show full item recordScholars@Duke
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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