Literature DB >> 11230380

Clinicians' response to computerized detection of infections.

B H Rocha1, J C Christenson, R S Evans, R M Gardner.   

Abstract

OBJECTIVE: To analyze whether computer-generated reminders about infections could influence clinicians' practice patterns and consequently improve the detection and management of nosocomial infections.
DESIGN: The conclusions produced by an expert system developed to detect and manage infections were presented to the attending clinicians in a pediatric hospital to determine whether this information could improve detection and management. Clinician interventions were compared before and after the implementation of the system. MEASUREMENTS: The responses of the clinicians (staff physicians, physician assistants, and nurse practitioners) to the reminders were determined by review of paper medical charts. Main outcome measures were the number of suggestions to treat and manage infections that were followed before and after the implementation of COMPISS (Computerized Pediatric Infection Surveillance System). The clinicians' opinions about the system were assessed by means of a paper questionnaire distributed following the experiment.
RESULTS: The results failed to show a statistical difference between the clinicians' treatment strategies before and after implementation of the system (P: > 0.33 for clinicians working in the emergency room and P: > 0.45 for clinicians working in the pediatric intensive care unit). The questionnaire results showed that the respondents appreciated the information presented by the system.
CONCLUSION: The computer-generated reminders about infections were unable to influence the practice patterns of clinicians. The methodologic problems that may have contributed to this negative result are discussed.

Entities:  

Mesh:

Year:  2001        PMID: 11230380      PMCID: PMC134551          DOI: 10.1136/jamia.2001.0080117

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  20 in total

1.  Evaluating medical expert systems: what to test and how?

Authors:  J Wyatt; D Spiegelhalter
Journal:  Med Inform (Lond)       Date:  1990 Jul-Sep

2.  Information in infection control.

Authors:  P N Gaunt
Journal:  J Hosp Infect       Date:  1991-06       Impact factor: 3.926

Review 3.  Quality assurance, infection surveillance, and hospital information systems: avoiding the Bermuda Triangle.

Authors:  R Mertens; W Ceusters
Journal:  Infect Control Hosp Epidemiol       Date:  1994-03       Impact factor: 3.254

4.  The nationwide nosocomial infection rate. A new need for vital statistics.

Authors:  R W Haley; D H Culver; J W White; W M Morgan; T G Emori
Journal:  Am J Epidemiol       Date:  1985-02       Impact factor: 4.897

5.  Public health focus: surveillance, prevention, and control of nosocomial infections.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  1992-10-23       Impact factor: 17.586

6.  Reminders to physicians from an introspective computer medical record. A two-year randomized trial.

Authors:  C J McDonald; S L Hui; D M Smith; W M Tierney; S J Cohen; M Weinberger; G P McCabe
Journal:  Ann Intern Med       Date:  1984-01       Impact factor: 25.391

7.  Protocol-based computer reminders, the quality of care and the non-perfectability of man.

Authors:  C J McDonald
Journal:  N Engl J Med       Date:  1976-12-09       Impact factor: 91.245

8.  Effects of computer-based clinical decision support systems on clinician performance and patient outcome. A critical appraisal of research.

Authors:  M E Johnston; K B Langton; R B Haynes; A Mathieu
Journal:  Ann Intern Med       Date:  1994-01-15       Impact factor: 25.391

9.  Development of a computerized infectious disease monitor (CIDM).

Authors:  R S Evans; R M Gardner; A R Bush; J P Burke; Y A Jacobson; R A Larsen; F A Meier; H R Warner
Journal:  Comput Biomed Res       Date:  1985-04

10.  An expert system for culture-based infection control surveillance.

Authors:  M G Kahn; S A Steib; V J Fraser; W C Dunagan
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1993
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10.  Barriers and Facilitators to Adoption of a Web-based Antibiotic Decision Support System.

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