Simulation analysis of the consequences of shifting the balance of health care: a system dynamics approach.
OBJECTIVE
The shift in the balance of health care, bringing services 'closer to home', is a well-established trend. This study sought to provide insight into the consequences of this trend, in particular the stimulation of demand, by exploring the underlying feedback structure.


METHODS
We constructed a simulation model using the system dynamics method, which is specifically designed for the analysis of feedback structure. The model was calibrated to two cases of the shift in cardiac catheterization services in the UK. Data sources included archival data, observations and interviews with senior health care professionals. Key model outputs were the basic trends displayed by waiting lists, average waiting times, cumulative patient referrals, cumulative patient activity and cumulative overall costs.


RESULTS
Demand was stimulated in both cases via several different mechanisms. We revealed the roles for clinical guidelines and capacity changes, and the typical responses to imbalances between supply and demand. Our analysis also demonstrated the potential benefits of changing the goals that drive activity by seeking a waiting list goal rather than a waiting time goal.


CONCLUSIONS
Appreciating the wider consequences of shifting the balance of care is essential if services are to be improved overall. The underlying feedback mechanisms of both intended and unintended effects need to be understood. Using a systemic approach, more effective policies may be designed through coordinated programmes rather than isolated initiatives, which may have only a limited impact.
Taylor
Kathryn
K
Department of Social Policy, London School of Economics and Political Science, UK. k.taylor-alumni@lse.ac.uk
Dangerfield
Brian
B
Le Grand
Julian
J
D006328:Cardiac Catheterization; D018166:Health Care Reform; D006301:Health Services Needs and Demand; D006699:Home Care Services; D006801:Humans; D008485:Medical Audit; D017146:Models, Organizational; D013222:State Medicine / Q000458:organization & administration*; D006113:United Kingdom