Literature DB >> 14587934

Detection of postoperative surgical-site infections: comparison of health plan-based surveillance with hospital-based programs.

Kenneth E Sands1, Deborah S Yokoe, David C Hooper, John L Tully, Teresa C Horan, Robert P Gaynes, Steven L Solomon, Richard Platt.   

Abstract

BACKGROUND: Review of health plan administrative data has been shown to be more sensitive than other methods for identifying postdischarge surgical-site infections (SSIs), but there has not been a direct comparison between this method and hospital-based surveillance for all infections, including those diagnosed before discharge. We compared these two methods for identifying SSIs following coronary artery bypass graft (CABG) procedures.
METHODS: We studied 1,352 CABG procedures performed among members of one health plan from March 1993 through June 1997. Health plan administrative records were reviewed based on claims containing diagnoses or procedures suggestive of infection or outpatient dispensing of antibiotics appropriate for SSI. Hospital-based surveillance information was also reviewed. SSI rates were calculated based on the total events identified by either mechanism.
RESULTS: Postdischarge information was reviewed for 328 (85%) of 388 procedures. SSIs were confirmed in 167 patients (13% overall risk of confirmed SSI; range, 3% to 14% in the 5 hospitals). The overall sensitivity of hospital-based surveillance was 49.7% (83 of 167), and that of health plan data was 71.8% (120 of 167). There was no significant difference among hospitals in the sensitivity of either surveillance mechanism.
CONCLUSIONS: Surveillance based on health plan data identified more postoperative infections, including those occurring before discharge, than did hospital-based surveillance. Screening administrative data and pharmacy activity may be an important adjunct to SSI surveillance, allowing efficient comparison of hospital-specific rates. Interpretation of differences among hospitals' infection rates requires case mix adjustment and understanding of variations in hospitals' discharge diagnosis coding practices.

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Year:  2003        PMID: 14587934     DOI: 10.1086/502123

Source DB:  PubMed          Journal:  Infect Control Hosp Epidemiol        ISSN: 0899-823X            Impact factor:   3.254


  10 in total

1.  2007 Guideline for Isolation Precautions: Preventing Transmission of Infectious Agents in Health Care Settings.

Authors:  Jane D Siegel; Emily Rhinehart; Marguerite Jackson; Linda Chiarello
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2.  Surgical site infections after lung resection: a prospective study of risk factors in 1,091 consecutive patients.

Authors:  Andrea Imperatori; Elisa Nardecchia; Lorenzo Dominioni; Daniele Sambucci; Sebastiano Spampatti; Giancarlo Feliciotti; Nicola Rotolo
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3.  Validation of ICD-9-CM Diagnosis Codes for Surgical Site Infection and Noninfectious Wound Complications After Mastectomy.

Authors:  Margaret A Olsen; Kelly E Ball; Katelin B Nickel; Anna E Wallace; Victoria J Fraser
Journal:  Infect Control Hosp Epidemiol       Date:  2016-12-15       Impact factor: 3.254

4.  Enhanced identification of postoperative infections among outpatients.

Authors:  Andrew L Miner; Kenneth E Sands; Deborah S Yokoe; John Freedman; Kristin Thompson; James M Livingston; Richard Platt
Journal:  Emerg Infect Dis       Date:  2004-11       Impact factor: 6.883

Review 5.  Methods for identifying surgical wound infection after discharge from hospital: a systematic review.

Authors:  Emily S Petherick; Jane E Dalton; Peter J Moore; Nicky Cullum
Journal:  BMC Infect Dis       Date:  2006-11-27       Impact factor: 3.090

6.  Which Kind of Provider's Operation Volumes Matters? Associations between CABG Surgical Site Infection Risk and Hospital and Surgeon Operation Volumes among Medical Centers in Taiwan.

Authors:  Tsung-Hsien Yu; Yu-Chi Tung; Kuo-Piao Chung
Journal:  PLoS One       Date:  2015-06-08       Impact factor: 3.240

Review 7.  Accuracy of administrative data for surveillance of healthcare-associated infections: a systematic review.

Authors:  Maaike S M van Mourik; Pleun Joppe van Duijn; Karel G M Moons; Marc J M Bonten; Grace M Lee
Journal:  BMJ Open       Date:  2015-08-27       Impact factor: 2.692

8.  Using medication utilization information to develop an asthma severity classification model.

Authors:  Tsung-Hsien Yu; Pin-Kuei Fu; Yu-Chi Tung
Journal:  BMC Med Inform Decis Mak       Date:  2017-12-20       Impact factor: 2.796

9.  Developing algorithms for healthcare insurers to systematically monitor surgical site infection rates.

Authors:  Susan S Huang; James M Livingston; Nigel S B Rawson; Steven Schmaltz; Richard Platt
Journal:  BMC Med Res Methodol       Date:  2007-06-06       Impact factor: 4.615

10.  Is it possible to identify cases of coronary artery bypass graft postoperative surgical site infection accurately from claims data?

Authors:  Tsung-Hsien Yu; Yu-Chang Hou; Kuan-Chia Lin; Kuo-Piao Chung
Journal:  BMC Med Inform Decis Mak       Date:  2014-05-29       Impact factor: 2.796

  10 in total

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