Literature DB >> 8947715

Electronically distributed, computer-generated, individualized feedback enhances the use of a computerized practice guideline.

D F Lobach1.   

Abstract

Clinical guidelines have been developed to assist with the management of patient care; however, these guidelines are frequently neglected in clinical practice. Computer-generated reminders enhance guideline use, but these systems often fail to achieve high rates of guideline utilization. This study was designed to test the hypothesis that computer-generated, individualized feedback regarding adherence to care guidelines will significantly improve clinician compliance with guideline recommendations presented through a computer-assisted management protocol. Half of the 45 primary care clinicians employed at a primary care clinic affiliated with an academic medical center, were randomized to receive a biweekly electronic mail message consisting of a computer-generated report summarizing his/her response to care guideline recommendations for the diabetic patients seen during the previous 2 weeks. Clinician compliance with guideline recommendations was the primary outcome measure. This study demonstrated that the intervention significantly increased clinician compliance with the guideline recommendations without incurring high maintenance expenses. Median compliance among the intervention group was 35% versus 6.1% among the control group (p < 0.01). Electronically distributed, computer-generated, individualized feedback regarding clinician use of care guideline recommendations is an effective way to enhance compliance with a care guideline.

Entities:  

Mesh:

Year:  1996        PMID: 8947715      PMCID: PMC2233009     

Source DB:  PubMed          Journal:  Proc AMIA Annu Fall Symp        ISSN: 1091-8280


  15 in total

1.  Quality assurance through automated monitoring and concurrent feedback using a computer-based medical information system.

Authors:  G O Barnett; R Winickoff; J L Dorsey; M M Morgan; R S Lurie
Journal:  Med Care       Date:  1978-11       Impact factor: 2.983

2.  Opinion leaders vs audit and feedback to implement practice guidelines. Delivery after previous cesarean section.

Authors:  J Lomas; M Enkin; G M Anderson; W J Hannah; E Vayda; J Singer
Journal:  JAMA       Date:  1991-05-01       Impact factor: 56.272

Review 3.  Effects of feedback of information on clinical practice: a review.

Authors:  M Mugford; P Banfield; M O'Hanlon
Journal:  BMJ       Date:  1991-08-17

4.  Delayed feedback of physician performance versus immediate reminders to perform preventive care. Effects on physician compliance.

Authors:  W M Tierney; S L Hui; C J McDonald
Journal:  Med Care       Date:  1986-08       Impact factor: 2.983

5.  Computer-based medical records: the centerpiece of TMR.

Authors:  W W Stead; W E Hammond
Journal:  MD Comput       Date:  1988 Sep-Oct

6.  A model for adapting clinical guidelines for electronic implementation in primary care.

Authors:  D F Lobach
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1995

7.  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

8.  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

9.  Measuring and improving physician compliance with clinical practice guidelines. A controlled interventional trial.

Authors:  A G Ellrodt; L Conner; M Riedinger; S Weingarten
Journal:  Ann Intern Med       Date:  1995-02-15       Impact factor: 25.391

10.  Development and evaluation of a Computer-Assisted Management Protocol (CAMP): improved compliance with care guidelines for diabetes mellitus.

Authors:  D F Lobach; W E Hammond
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1994
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  12 in total

Review 1.  Does continuing medical education in general practice make a difference?

Authors:  P Cantillon; R Jones
Journal:  BMJ       Date:  1999-05-08

2.  Long-Term Impact of an Electronic Health Record-Enabled, Team-Based, and Scalable Population Health Strategy Based on the Chronic Care Model.

Authors:  Kensaku Kawamoto; Kevin J Anstrom; John B Anderson; Hayden B Bosworth; David F Lobach; Carrie McAdam-Marx; Jeffrey M Ferranti; Howard Shang; Kimberly S H Yarnall
Journal:  AMIA Annu Symp Proc       Date:  2017-02-10

3.  Automating complex guidelines for chronic disease: lessons learned.

Authors:  Saverio M Maviglia; Rita D Zielstorff; Marilyn Paterno; Jonathan M Teich; David W Bates; Gilad J Kuperman
Journal:  J Am Med Inform Assoc       Date:  2003 Mar-Apr       Impact factor: 4.497

4.  A randomized trial of population-based clinical decision support to manage health and resource use for Medicaid beneficiaries.

Authors:  David F Lobach; Kensaku Kawamoto; Kevin J Anstrom; Garry M Silvey; Janese M Willis; Fred S Johnson; Rex Edwards; Jessica Simo; Pam Phillips; David R Crosslin; Eric L Eisenstein
Journal:  J Med Syst       Date:  2013-01-13       Impact factor: 4.460

5.  Hypertextual navigation operationalizing generic clinical practice guidelines for patient-specific therapeutic decisions.

Authors:  J Bouaud; B Séroussi; E C Antoine; M Gozy; D Khayat; J F Boisvieux
Journal:  Proc AMIA Symp       Date:  1998

6.  Electronic medical records and diabetes quality of care: results from a sample of family medicine practices.

Authors:  Jesse C Crosson; Pamela A Ohman-Strickland; Karissa A Hahn; Barbara DiCicco-Bloom; Eric Shaw; A John Orzano; Benjamin F Crabtree
Journal:  Ann Fam Med       Date:  2007 May-Jun       Impact factor: 5.166

7.  Impact of a computerized system for evidence-based diabetes care on completeness of records: a before-after study.

Authors:  Pavel S Roshanov; Hertzel C Gerstein; Dereck L Hunt; Rolf J Sebaldt; R Brian Haynes
Journal:  BMC Med Inform Decis Mak       Date:  2012-07-07       Impact factor: 2.796

8.  Protocol for the 'e-Nudge trial': a randomised controlled trial of electronic feedback to reduce the cardiovascular risk of individuals in general practice [ISRCTN64828380].

Authors:  Tim A Holt; Margaret Thorogood; Frances Griffiths; Stephen Munday
Journal:  Trials       Date:  2006-04-28       Impact factor: 2.279

9.  What do we know about how to do audit and feedback? Pitfalls in applying evidence from a systematic review.

Authors:  R Foy; M P Eccles; G Jamtvedt; J Young; J M Grimshaw; R Baker
Journal:  BMC Health Serv Res       Date:  2005-07-13       Impact factor: 2.655

10.  A national clinical decision support infrastructure to enable the widespread and consistent practice of genomic and personalized medicine.

Authors:  Kensaku Kawamoto; David F Lobach; Huntington F Willard; Geoffrey S Ginsburg
Journal:  BMC Med Inform Decis Mak       Date:  2009-03-23       Impact factor: 2.796

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