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...
Autores principales: | , , , , , , , , , , |
---|---|
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 |