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Creation of state-level Medicare database for healthcare evaluation applications.

Publication ,  Journal Article
Pates, RD; Lundberg, MT; Hennen, J; Boymel, C; Webber, A; Wright, G; Hayes, RP; Simpson, PM; Lynch, GW; Merwin, E
Published in: Proceedings. Symposium on Computer Applications in Medical Care
January 1993

The Health Care Quality Improvement Initiative (HCQII) of the Health Care Financing Administration (HCFA) calls for Professional Review Organizations (PROs) to undertake pattern analysis of large administrative datasets for the purposes of quality of care assessment. The limitations of such administrative databases (primarily the MEDPAR file and derivatives thereof) include impoverished information regarding clinical attributes of Medicare enrollees and the process and outcome of their healthcare. This paper describes preliminary efforts to address this problem by the creation of a database, the PRO Concatenated Database (PCD), from the pooled implicit judgment review data of four Peer Review Organizations (PROs). The data elements comprising the PCD were carefully selected to provide important information regarding quality and appropriateness of care. Preliminary inter-state comparative studies employing the PCD are discussed. A method is also described by which the analytical power of state-level databases may be enhanced by linkage to state-level Modeled MEDPAR data which are issued by HCFA and contain patient-level risk-adjusted mortality data. This approach to the acquisition of data whose clinical content is enriched may prove to be particularly useful to the PRO community during the pattern analysis phase of the HCQII. Such analyses will evolve into more detailed studies involving primary data collection followed by dissemination of the results to local healthcare providers. In this manner, the PCD may facilitate rapid feedback regarding the effectiveness of healthcare delivery to the local community.

Duke Scholars

Published In

Proceedings. Symposium on Computer Applications in Medical Care

ISSN

0195-4210

Publication Date

January 1993

Start / End Page

663 / 667

Related Subject Headings

  • Virginia
  • United States
  • Quality Assurance, Health Care
  • Professional Review Organizations
  • Outcome Assessment, Health Care
  • Medicare
  • Humans
  • Hospital Mortality
  • Databases, Factual
  • Coronary Artery Bypass
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Pates, R. D., Lundberg, M. T., Hennen, J., Boymel, C., Webber, A., Wright, G., … Merwin, E. (1993). Creation of state-level Medicare database for healthcare evaluation applications. Proceedings. Symposium on Computer Applications in Medical Care, 663–667.
Pates, R. D., M. T. Lundberg, J. Hennen, C. Boymel, A. Webber, G. Wright, R. P. Hayes, P. M. Simpson, G. W. Lynch, and E. Merwin. “Creation of state-level Medicare database for healthcare evaluation applications.Proceedings. Symposium on Computer Applications in Medical Care, January 1993, 663–67.
Pates RD, Lundberg MT, Hennen J, Boymel C, Webber A, Wright G, et al. Creation of state-level Medicare database for healthcare evaluation applications. Proceedings Symposium on Computer Applications in Medical Care. 1993 Jan;663–7.
Pates, R. D., et al. “Creation of state-level Medicare database for healthcare evaluation applications.Proceedings. Symposium on Computer Applications in Medical Care, Jan. 1993, pp. 663–67.
Pates RD, Lundberg MT, Hennen J, Boymel C, Webber A, Wright G, Hayes RP, Simpson PM, Lynch GW, Merwin E. Creation of state-level Medicare database for healthcare evaluation applications. Proceedings Symposium on Computer Applications in Medical Care. 1993 Jan;663–667.

Published In

Proceedings. Symposium on Computer Applications in Medical Care

ISSN

0195-4210

Publication Date

January 1993

Start / End Page

663 / 667

Related Subject Headings

  • Virginia
  • United States
  • Quality Assurance, Health Care
  • Professional Review Organizations
  • Outcome Assessment, Health Care
  • Medicare
  • Humans
  • Hospital Mortality
  • Databases, Factual
  • Coronary Artery Bypass