Cargando…

Using Automated Health Plan Data to Assess Infection Risk from Coronary Artery Bypass Surgery

We determined if infection indicators were sufficiently consistent across health plans to allow comparison of hospitals’ risks of infection after coronary artery bypass surgery. Three managed care organizations accounted for 90% of managed care in eastern Massachusetts, from October 1996 through Mar...

Descripción completa

Detalles Bibliográficos
Autores principales: Platt, Richard, Kleinman, Ken, Thompson, Kristin, Dokholyan, Rachel S., Livingston, James M., Bergman, Andrew, Mason, John H., Horan, Teresa C., Gaynes, Robert P., Solomon, Steven L., Sands, Kenneth E.
Formato: Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2002
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2737830/
https://www.ncbi.nlm.nih.gov/pubmed/12498660
http://dx.doi.org/10.3201/eid0812.020039
_version_ 1782171473967841280
author Platt, Richard
Kleinman, Ken
Thompson, Kristin
Dokholyan, Rachel S.
Livingston, James M.
Bergman, Andrew
Mason, John H.
Horan, Teresa C.
Gaynes, Robert P.
Solomon, Steven L.
Sands, Kenneth E.
author_facet Platt, Richard
Kleinman, Ken
Thompson, Kristin
Dokholyan, Rachel S.
Livingston, James M.
Bergman, Andrew
Mason, John H.
Horan, Teresa C.
Gaynes, Robert P.
Solomon, Steven L.
Sands, Kenneth E.
author_sort Platt, Richard
collection PubMed
description We determined if infection indicators were sufficiently consistent across health plans to allow comparison of hospitals’ risks of infection after coronary artery bypass surgery. Three managed care organizations accounted for 90% of managed care in eastern Massachusetts, from October 1996 through March 1999. We searched automated inpatient and outpatient claims and outpatient pharmacy dispensing files for indicator codes suggestive of postoperative surgical site infection. We reviewed full text medical records of patients with indicator codes to confirm infection status. We compared the hospital-specific proportions of cases with an indicator code, adjusting for health plan, age, sex, and chronic disease score. A total of 536 (27%) of 1,953 patients had infection indicators. Infection was confirmed in 79 (53%) of 149 reviewed records with adequate documentation. The proportion of patients with an indicator of infection varied significantly (p<0.001) between hospitals (19% to 36%) and health plans (22% to 33%). The difference between hospitals persisted after adjustment for health plan and patients’ age and sex. Similar relationships were observed when postoperative antibiotic information was ignored. Automated claims and pharmacy data from different health plans can be used together to allow inexpensive, routine monitoring of indicators of postoperative infection, with the goal of identifying institutions that can be further evaluated to determine if risks for infection can be reduced.
format Text
id pubmed-2737830
institution National Center for Biotechnology Information
language English
publishDate 2002
publisher Centers for Disease Control and Prevention
record_format MEDLINE/PubMed
spelling pubmed-27378302009-09-16 Using Automated Health Plan Data to Assess Infection Risk from Coronary Artery Bypass Surgery Platt, Richard Kleinman, Ken Thompson, Kristin Dokholyan, Rachel S. Livingston, James M. Bergman, Andrew Mason, John H. Horan, Teresa C. Gaynes, Robert P. Solomon, Steven L. Sands, Kenneth E. Emerg Infect Dis Research We determined if infection indicators were sufficiently consistent across health plans to allow comparison of hospitals’ risks of infection after coronary artery bypass surgery. Three managed care organizations accounted for 90% of managed care in eastern Massachusetts, from October 1996 through March 1999. We searched automated inpatient and outpatient claims and outpatient pharmacy dispensing files for indicator codes suggestive of postoperative surgical site infection. We reviewed full text medical records of patients with indicator codes to confirm infection status. We compared the hospital-specific proportions of cases with an indicator code, adjusting for health plan, age, sex, and chronic disease score. A total of 536 (27%) of 1,953 patients had infection indicators. Infection was confirmed in 79 (53%) of 149 reviewed records with adequate documentation. The proportion of patients with an indicator of infection varied significantly (p<0.001) between hospitals (19% to 36%) and health plans (22% to 33%). The difference between hospitals persisted after adjustment for health plan and patients’ age and sex. Similar relationships were observed when postoperative antibiotic information was ignored. Automated claims and pharmacy data from different health plans can be used together to allow inexpensive, routine monitoring of indicators of postoperative infection, with the goal of identifying institutions that can be further evaluated to determine if risks for infection can be reduced. Centers for Disease Control and Prevention 2002-12 /pmc/articles/PMC2737830/ /pubmed/12498660 http://dx.doi.org/10.3201/eid0812.020039 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Research
Platt, Richard
Kleinman, Ken
Thompson, Kristin
Dokholyan, Rachel S.
Livingston, James M.
Bergman, Andrew
Mason, John H.
Horan, Teresa C.
Gaynes, Robert P.
Solomon, Steven L.
Sands, Kenneth E.
Using Automated Health Plan Data to Assess Infection Risk from Coronary Artery Bypass Surgery
title Using Automated Health Plan Data to Assess Infection Risk from Coronary Artery Bypass Surgery
title_full Using Automated Health Plan Data to Assess Infection Risk from Coronary Artery Bypass Surgery
title_fullStr Using Automated Health Plan Data to Assess Infection Risk from Coronary Artery Bypass Surgery
title_full_unstemmed Using Automated Health Plan Data to Assess Infection Risk from Coronary Artery Bypass Surgery
title_short Using Automated Health Plan Data to Assess Infection Risk from Coronary Artery Bypass Surgery
title_sort using automated health plan data to assess infection risk from coronary artery bypass surgery
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2737830/
https://www.ncbi.nlm.nih.gov/pubmed/12498660
http://dx.doi.org/10.3201/eid0812.020039
work_keys_str_mv AT plattrichard usingautomatedhealthplandatatoassessinfectionriskfromcoronaryarterybypasssurgery
AT kleinmanken usingautomatedhealthplandatatoassessinfectionriskfromcoronaryarterybypasssurgery
AT thompsonkristin usingautomatedhealthplandatatoassessinfectionriskfromcoronaryarterybypasssurgery
AT dokholyanrachels usingautomatedhealthplandatatoassessinfectionriskfromcoronaryarterybypasssurgery
AT livingstonjamesm usingautomatedhealthplandatatoassessinfectionriskfromcoronaryarterybypasssurgery
AT bergmanandrew usingautomatedhealthplandatatoassessinfectionriskfromcoronaryarterybypasssurgery
AT masonjohnh usingautomatedhealthplandatatoassessinfectionriskfromcoronaryarterybypasssurgery
AT horanteresac usingautomatedhealthplandatatoassessinfectionriskfromcoronaryarterybypasssurgery
AT gaynesrobertp usingautomatedhealthplandatatoassessinfectionriskfromcoronaryarterybypasssurgery
AT solomonstevenl usingautomatedhealthplandatatoassessinfectionriskfromcoronaryarterybypasssurgery
AT sandskennethe usingautomatedhealthplandatatoassessinfectionriskfromcoronaryarterybypasssurgery