Literature DB >> 19663692

Administrative coding data and health care-associated infections.

Michael A Jhung1, Shailen N Banerjee.   

Abstract

Surveillance for health care-associated infections (HAIs) using administrative data has received attention from health care epidemiologists searching for efficient means to track infections in their institutions. Several states are also considering electronic surveillance that incorporates administrative data as a means to satisfy an increasing demand for mandatory public reporting of HAIs. International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) discharge diagnosis codes have attributes that make them suitable for detecting HAIs; for example, they may facilitate automated surveillance, freeing up infection control personnel to perform other important tasks, such as staff education and outbreak investigation. However, controversy surrounds the appropriate use of ICD-9-CM data in detecting HAIs, and administrative coding data have been criticized for lacking elements necessary for surveillance. Administrative coding data are inappropriate as the sole means of HAI surveillance but may have value to the health care epidemiologist as a way to augment traditional methods.

Mesh:

Year:  2009        PMID: 19663692     DOI: 10.1086/605086

Source DB:  PubMed          Journal:  Clin Infect Dis        ISSN: 1058-4838            Impact factor:   9.079


  35 in total

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3.  An observational study of the timing of surgery, use of laparoscopy and outcomes for acute cholecystitis in the USA and UK.

Authors:  A C Murray; S Markar; H Mackenzie; O Baser; T Wiggins; A Askari; G Hanna; O Faiz; E Mayer; C Bicknell; A Darzi; R P Kiran
Journal:  Surg Endosc       Date:  2018-01-08       Impact factor: 4.584

4.  A comparison of methods to detect urinary tract infections using electronic data.

Authors:  Timothy Landers; Mandar Apte; Sandra Hyman; Yoko Furuya; Sherry Glied; Elaine Larson
Journal:  Jt Comm J Qual Patient Saf       Date:  2010-09

5.  Assessing diagnostic coding practices among a sample of healthcare facilities in Lyme disease endemic areas: Maryland and New York - A Brief Report.

Authors:  N Thomas; H J Rutz; S A Hook; A F Hinckley; G Lukacik; B P Backenson; K A Feldman; J L White
Journal:  Zoonoses Public Health       Date:  2017-10-30       Impact factor: 2.702

6.  Validity and Reliability of Administrative Coded Data for the Identification of Hospital-Acquired Infections: An Updated Systematic Review with Meta-Analysis and Meta-Regression Analysis.

Authors:  Olga Redondo-González; José María Tenías; Ángel Arias; Alfredo J Lucendo
Journal:  Health Serv Res       Date:  2017-04-11       Impact factor: 3.402

7.  Has the rate of in-hospital infections after total joint arthroplasty decreased?

Authors:  Mohammad R Rasouli; Mitchell Gil Maltenfort; James J Purtill; William J Hozack; Javad Parvizi
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8.  The risk of tuberculosis in SLE patients from an Asian tertiary hospital.

Authors:  Yong Yang; Julian Thumboo; Ban Hock Tan; Thuan Tong Tan; Chern Hui Jeffrey Fong; Han Seong Ng; Kok Yong Fong
Journal:  Rheumatol Int       Date:  2017-03-12       Impact factor: 2.631

9.  Central line-associated infections as defined by the Centers for Medicare and Medicaid Services' Hospital-acquired condition versus standard infection control surveillance: why hospital compare seems conflicted.

Authors:  Rebekah W Moehring; Russell Staheli; Becky A Miller; Luke Francis Chen; Daniel John Sexton; Deverick John Anderson
Journal:  Infect Control Hosp Epidemiol       Date:  2013-01-18       Impact factor: 3.254

10.  Existing data sources for clinical epidemiology: The North Denmark Bacteremia Research Database.

Authors:  Henrik C Schønheyder; Mette Søgaard
Journal:  Clin Epidemiol       Date:  2010-08-09       Impact factor: 4.790

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