Literature DB >> 9370504

Implementation of clinical guidelines using a computer charting system. Effect on the initial care of health care workers exposed to body fluids.

D L Schriger1, L J Baraff, W H Rogers, S Cretin.   

Abstract

CONTEXT: While clinical guidelines are considered an important mechanism to improve the quality of medical care, problems with implementation may limit their effectiveness. Few empirical data exist about the effect of computer-based systems for application of clinical guidelines on quality of care.
OBJECTIVE: To determine whether real-time presentation of clinical guidelines using an electronic medical record can increase compliance with guidelines.
DESIGN: Prospective off-on-off, interrupted time series with intent-to-treat analysis.
SETTING: University hospital emergency department.
SUBJECTS: Patients were 280 health care workers (50 in the baseline control phase, 156 in the intervention phase, and 74 in the postintervention control phase) who presented for initial treatment of occupational body fluid exposures, including 89% (248/280) who sustained punctures and 81% (208/257) who were exposed to blood. Physicians included resident physicians and attending physicians working in the emergency department during the study.
INTERVENTIONS: Implementation of a computer charting system that provides real-time information regarding history and recommendations for laboratory testing, treatment, and disposition based on rules derived from clinical guidelines. MAIN OUTCOME MEASURES: Quality of care as determined by essential items documented in the medical record and in aftercare instructions, compliance with testing and treatment guidelines, and total charges and percentage of charges attributable to guideline-endorsed activities.
RESULTS: Mean percent documentation of 7 essential items regarding patient history in the medical record increased from 57% during the baseline period to 98% in the intervention phase (42% increase; 95% confidence interval [CI], 34%-49%) and 11 items in aftercare instruction increased from 31 % at baseline to 93% during the intervention phase (62% increase; 95% CI, 51%-74%), but both decreased to baseline when the computer system was removed. Percent compliance with 4 laboratory testing guidelines increased from 63% at baseline to 83% during the intervention phase (20% increase; 95% CI, 9%-31 %) but decreased to 52% when the computer system was removed. Compliance with 5 treatment guidelines increased from 83% at baseline to 96% during the intervention phase (13% increase; 95% CI, 9%-17%) and decreased to 84% following the intervention. Percentage of charges incurred for indicated laboratory tests and treatment increased from 44% at baseline to 81% during the intervention phase (37% increase; 95% CI, 22%-52%) and decreased to 36% following the intervention. Average total per-patient charges were $460, $384, and $373 in each phase, respectively.
CONCLUSIONS: Use of a computer-based system for clinical guidelines for management of patients with occupational exposure to body fluids improved documentation, compliance with guidelines, and percentage of charges spent on indicated activities, while decreasing overall charges. The parameters returned to baseline when the computer system was removed.

Entities:  

Mesh:

Year:  1997        PMID: 9370504

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  31 in total

Review 1.  Computer-based guideline implementation systems: a systematic review of functionality and effectiveness.

Authors:  R N Shiffman; Y Liaw; C A Brandt; G J Corb
Journal:  J Am Med Inform Assoc       Date:  1999 Mar-Apr       Impact factor: 4.497

2.  Guideline classification to assist modeling, authoring, implementation and retrieval.

Authors:  E Bernstam; N Ash; M Peleg; S Tu; A A Boxwala; P Mork; E H Shortliffe; R A Greenes
Journal:  Proc AMIA Symp       Date:  2000

3.  Improved coding of the primary reason for visit to the emergency department using SNOMED.

Authors:  James C McClay; James Campbell
Journal:  Proc AMIA Symp       Date:  2002

4.  How well does decision support software perform in the emergency department?

Authors:  M A Graber; D VanScoy
Journal:  Emerg Med J       Date:  2003-09       Impact factor: 2.740

5.  Experience in implementing inpatient clinical note capture via a provider order entry system.

Authors:  S Trent Rosenbloom; Jonathan Grande; Antoine Geissbuhler; Randolph A Miller
Journal:  J Am Med Inform Assoc       Date:  2004-04-02       Impact factor: 4.497

6.  Generating Clinical Notes for Electronic Health Record Systems.

Authors:  S Trent Rosenbloom; William W Stead; Joshua C Denny; Dario Giuse; Nancy M Lorenzi; Steven H Brown; Kevin B Johnson
Journal:  Appl Clin Inform       Date:  2010-01-01       Impact factor: 2.342

7.  Effect of CPOE user interface design on user-initiated access to educational and patient information during clinical care.

Authors:  S Trent Rosenbloom; Antoine J Geissbuhler; William D Dupont; Dario A Giuse; Douglas A Talbert; William M Tierney; W Dale Plummer; William W Stead; Randolph A Miller
Journal:  J Am Med Inform Assoc       Date:  2005-03-31       Impact factor: 4.497

8.  Long-term changes in compliance with clinical guidelines through computer-based reminders.

Authors:  M M Morgan; J Goodson; G O Barnett
Journal:  Proc AMIA Symp       Date:  1998

9.  Data from clinical notes: a perspective on the tension between structure and flexible documentation.

Authors:  S Trent Rosenbloom; Joshua C Denny; Hua Xu; Nancy Lorenzi; William W Stead; Kevin B Johnson
Journal:  J Am Med Inform Assoc       Date:  2011-01-12       Impact factor: 4.497

10.  A Computerized Alert Screening for Severe Sepsis in Emergency Department Patients Increases Lactate Testing but does not Improve Inpatient Mortality.

Authors:  T Berger; A Birnbaum; P Bijur; G Kuperman; P Gennis
Journal:  Appl Clin Inform       Date:  2010-11-17       Impact factor: 2.342

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