Opportunities and Challenges in Supply- Side Simulation: Physician-Based Models
Author
dc.contributor.author
Gresenz, Carole Roan
Author
dc.contributor.author
Auerbach, David I.
es_CL
Author
dc.contributor.author
Duarte, Fabian
es_CL
Admission date
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2014-03-06T19:56:33Z
Available date
dc.date.available
2014-03-06T19:56:33Z
Publication date
dc.date.issued
2013
Cita de ítem
dc.identifier.citation
Health Serv Res. 2013 Apr;48(2 Pt 2):696-712
en_US
Identifier
dc.identifier.other
DOI: 10.1111/1475-6773.12029
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/128635
General note
dc.description
Artículo de publicación ISI
en_US
Abstract
dc.description.abstract
Objective. To provide a conceptual framework and to assess the availability of empirical
data for supply-side microsimulation modeling in the context of health care.
Data Sources. Multiple secondary data sources, including the American Community
Survey, Health Tracking Physician Survey, and SK&A physician database.
Study Design. We apply our conceptual framework to one entity in the health care
market—physicians—and identify, assess, and compare data available for physicianbased
simulation models.
Principal Findings. Our conceptual framework describes three broad types of data
required for supply-side microsimulation modeling. Our assessment of available data
for modeling physician behavior suggests broad comparability across various sources
on several dimensions and highlights the need for significant integration of data across
multiple sources to provide a platform adequate for modeling. A growing literature
provides potential estimates for use as behavioral parameters that could serve as the
models’ engines. Sources of data for simulation modeling that account for the complex
organizational and financial relationships among physicians and other supply-side entities
are limited.
Conclusions. A key challenge for supply-side microsimulation modeling is optimally
combining available data to harness their collective power. Several possibilities also
exist for novel data collection. These have the potential to serve as catalysts for the next
generation of supply-side-focused simulation models to inform health policy.