System Dynamics Modeling to Rethink Health System Reform

Author(s):  
Jack Homer ◽  
Bobby Milstein ◽  
Gary B. Hirsch

The Rethink Health Dynamics Model represents the complex dynamics of a regional health system in the United States and has been calibrated for more than 10 regions using nationwide and local data. When testing single interventions, the simulated improvement in system performance is often less than desired. By experimenting with combinations of interventions, the authors have identified recurring reasons for underperformance or intervention pitfalls. Here they discuss four common pitfalls and possible ways to overcome each with additional intervention. The pitfalls include (a) trying to cut costs without changing payment incentives; (b) depleting available funds without securing sustainable financing; (c) trying to achieve greater equity through service delivery without building capacity to meet greater demand; and (d) missing the opportunity to achieve multiple goals simultaneously through the use of mutually supporting interventions. The chapter illustrates each pitfall and proposed solution with causal feedback diagrams and simulation output graphs.

2006 ◽  
Vol 30 (1) ◽  
pp. 83 ◽  
Author(s):  
Ronald Donato ◽  
Jeffrey Richardson

Diagnosis-based risk adjustment is increasingly seen as an important tool for establishing capitation payments and evaluating appropriateness and efficiency of services provided and has become an important area of research for many countries contemplating health system reform. This paper examines the application of a risk-adjustment method, extensively validated in the United States, known as diagnostic cost groups (DCG), to a large Australian hospital inpatient data set. The data set encompassed hospital inpatient diagnoses and inpatient expenditure for the entire metropolitan population residing in the state of New South Wales. The DCG model was able to explain 34% of individual-level variation in concurrent expenditure and 5.2% in subsequent year expenditure, which is comparable to US studies using inpatient-only data. The degree of stability and internal consistency of the parameter estimates for both the concurrent and prospective models indicate the DCG methodology has face validity in its application to NSW health data sets. Modelling and simulations were conducted which demonstrate the policy applications and significance of risk adjustment model(s) in the Australian context. This study demonstrates the feasibility of using large individual-level data sets for diagnosis-based risk adjustment research in Australia. The results suggest that a research agenda should be established to broaden the options for health system reform.


2021 ◽  
Vol 13 (20) ◽  
pp. 11146
Author(s):  
Iwona Markowicz ◽  
Iga Rudawska

Currently, no guidelines exist on how to evaluate the performance of health systems fighting the SARS-CoV-2 pandemic. Therefore, this study seeks (1) to develop a conceptual framework that would be helpful in the given context, and (2) to test the feasibility of the proposed approach. The framework is conceptualized based on investigating critical dimensions and indicators for the successful design of a method for evaluating the performance of health systems. Subsequently, the taxonomic measure of development is used and a correlational analysis made in order to run a pilot test of the proposed concept. The finalized conceptual framework has five input dimensions (demographical burden, epidemiological burden, health-related quality of life, financial resources, and access) described by 18 indicators, and two output domains (outcomes, productivity) described by six indicators to monitor system performance under the COVID-19 pandemic. The pilot-test conducted in European Union countries and the United States proved the model to be useful and feasible. The proposed framework can be used to assess the performance of health systems fighting novel pathogens, such as SARS-CoV-2, worldwide. Our methodological approach can be used as a benchmark for international agencies such as the World Health Organization in developing their own frameworks. The paper presents the first research exploring the evaluation of a health system during the COVID-19 pandemic. It has the potential to help monitor a health system’s performance during the pandemic by accounting for specific country-related circumstances. In a broader sense, it can contribute to boosting health market competitiveness in terms of quality.


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