Balancing patient choice and health system capacity: a system dynamics model of dialysis in Thailand

Regulating financial incentives in the Thai health system offered the greatest potential to reduce inappropriate dialysis initiation and increase peritoneal dialysis uptake. The system dynamics model showed that coupling policies with complementary mechanisms could address key uncertainties and amplify their impact. We suggest that policymakers incorporate quality of care and time-dependent performance into policy goals to achieve sustainable improvements. Our findings highlight the value of a systems approach to account for unintended consequences of well-intended policy interventions, resulting from delayed responses across organisational boundaries.

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Publication Details

Journal
BMC Medicine
Published
2025-11-20
DOI
https://doi.org/10.1186/s12916-025-04522-z
Citations
5
Primary Topic
Healthcare Systems and Reforms
Type
article
Field-Weighted Citation Impact
11.04

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article

Balancing patient choice and health system capacity: a system dynamics model of dialysis in Thailand

Jeerath Phannajit, Kinanti Khansa Chavarina, Itamar Megiddo, John Quigley et al.
5 citations
BMC Medicine
Healthcare Systems and Reforms
11.04
article

Balancing patient choice and health system capacity: a system dynamics model of dialysis in Thailand

Jeerath Phannajit, Kinanti Khansa Chavarina, Itamar Megiddo, John Quigley, Siobhan Botwright, Yot Teerawattananon, Jiratorn Sutawong, Le Khanh Ngan Nguyen, Natcha Yongphiphatwong
article en
5 citations

Abstract

Regulating financial incentives in the Thai health system offered the greatest potential to reduce inappropriate dialysis initiation and increase peritoneal dialysis uptake. The system dynamics model showed that coupling policies with complementary mechanisms could address key uncertainties and amplify their impact. We suggest that policymakers incorporate quality of care and time-dependent performance into policy goals to achieve sustainable improvements. Our findings highlight the value of a systems approach to account for unintended consequences of well-intended policy interventions, resulting from delayed responses across organisational boundaries.

BMC MedicineVol. 23(1)
Chulalongkorn University (TH), National University of Singapore (SG), University of Strathclyde (GB), Health Intervention and Technology Assessment Program (TH), King Chulalongkorn Memorial Hospital (TH), National University Health System (SG), University of York (GB)
Health Systems Research Institute
Openalex Percentile: Top 1%
Healthcare Systems and Reforms
11.04
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Balancing patient choice and health system capacity: a system dynamics model of dialysis in Thailand — Jeerath Phannajit, Kinanti Khansa Chavarina, et al. · BMC Medicine (2025) | TGRS Research Map | TGRS