Literature DB >> 7377196

The accuracy of retrospective chart review in measuring nosocomial infection rates. Results of validation studies in pilot hospitals.

R W Haley, D R Schaberg, D K McClish, D Quade, K B Crossley, D H Culver, W M Morgan, J E McGowan, R H Shachtman.   

Abstract

To measure the accuracy and consistency of a standardized method--retrospective chart review (RCR)--for estimating nosocomial infection rates (NIRs) in individual hospitals, the authors performed a series of pilot studies in four hospitals of different types. In comparison with a standard based on diagnoses made by physician-epidemiologists supervising intensive prospective data collection teams, the RCR method was found to have an average sensitivity of 0.74 (+/- 0.02 SE; range 0.69-0.78) and an average specificity of 0.964 (+/- 0.002; 0.945-0.991). These values were comparable to those of the physician-epidemiologists' diagnoses and varied less among the hospitals. Two independent teams of chart reviewers were found to have similar levels of sensitivity and specificity, and the reliability of diagnosis at the level of the individual chart reviewer averaged 0.94. In a restudy at one of the pilot hospitals at the midpoint of the actual Medical Records Survey (MRS), there was a substantial increase in sensitivityand a slight increase in specificity as a result of improvements made in the RCR method after the original pilot studies.

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Year:  1980        PMID: 7377196     DOI: 10.1093/oxfordjournals.aje.a112931

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  8 in total

Review 1.  Hunting health care-associated infections from the clinical microbiology laboratory: passive, active, and virtual surveillance.

Authors:  Lance R Peterson; Stephen E Brossette
Journal:  J Clin Microbiol       Date:  2002-01       Impact factor: 5.948

2.  Research strategies that result in optimal data collection from the patient medical record.

Authors:  Katherine E Gregory; Lucy Radovinsky
Journal:  Appl Nurs Res       Date:  2010-04-09       Impact factor: 2.257

3.  The use of natural language processing to identify Tdap-related local reactions at five health care systems in the Vaccine Safety Datalink.

Authors:  Chengyi Zheng; Wei Yu; Fagen Xie; Wansu Chen; Cheryl Mercado; Lina S Sy; Lei Qian; Sungching Glenn; Gina Lee; Hung Fu Tseng; Jonathan Duffy; Lisa A Jackson; Matthew F Daley; Brad Crane; Huong Q McLean; Steven J Jacobsen
Journal:  Int J Med Inform       Date:  2019-04-13       Impact factor: 4.046

4.  Comparing Rates of Adverse Events and Medical Errors on Inpatient Psychiatric Units at Veterans Health Administration and Community-based General Hospitals.

Authors:  Sara W Cullen; Ming Xie; Jentien M Vermeulen; Steven C Marcus
Journal:  Med Care       Date:  2019-11       Impact factor: 2.983

5.  Safety of Psychiatric Inpatients at the Veterans Health Administration.

Authors:  Steven C Marcus; Richard C Hermann; Martin R Frankel; Sara W Cullen
Journal:  Psychiatr Serv       Date:  2017-10-16       Impact factor: 3.084

6.  Reliability of reporting nosocomial infections in the discharge abstract and implications for receipt of revenues under prospective reimbursement.

Authors:  R M Massanari; K Wilkerson; S A Streed; W J Hierholzer
Journal:  Am J Public Health       Date:  1987-05       Impact factor: 9.308

7.  Nosocomial infections after peripheral arterial bypass surgery.

Authors:  Arianne Ploeg; Christopher Lange; Jan-Willem Lardenoye; Paul Breslau
Journal:  World J Surg       Date:  2007-08       Impact factor: 3.352

8.  Who is monitoring your infections: shouldn't you be?

Authors:  Jeffrey A Claridge; Joseph F Golob; Adam M A Fadlalla; Beth M D'Amico; Joel R Peerless; Charles J Yowler; Mark A Malangoni
Journal:  Surg Infect (Larchmt)       Date:  2009-02       Impact factor: 2.150

  8 in total

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