Literature DB >> 10321438

Implementing clinical guidelines in the treatment of hypertension in general practice.

I Hetlevik1, J Holmen, O Krüger, P Kristensen, H Iversen.   

Abstract

Discrepancies between clinical guidelines and clinical practice call for practical implementation strategies. This study evaluates the implementation of clinical guidelines for hypertension in general practice with a specific computer-based clinical decision support system (CDSS) as part of the intervention. We carried out a randomized study of general practice health centres in Sør- and Nord-Trøndelag counties in Norway (population 380000). A total of 17 health centres were included, with 24 doctors and 984 patients in the intervention group. Data from 887 patients was used in the analyses. There were 12 health centres with 29 doctors and 1255 patients in the control group. Data from 1127 control patients was used in the analyses. The main outcome measures were doctor's behaviour, measured by adherence to registration of recommended variables in the Norwegian clinical guidelines for hypertension. The aim of the intervention was to lower the fractions of patients without registrations. However, there were no clinically significant differences between the intervention group and the control group for fractions of patients without registration of blood pressure (intervention group 14.3%, control group 14.2%) or serum cholesterol (62.3% vs. 56.8%) during 12 months, nor, during 18 months, for fractions of patients without a registration of cigarette smoking (82.9% vs. 87.1%), cardiovascular inheritance (79.5% vs. 73.4%) and body mass index (81.5% vs. 89.2%). One or several variables necessary for calculation of risk score for myocardial infarction were missing in 91.7% of patients in the intervention group and 91.9% of patients in the control group. Large centre variations were shown for all variables. Implementation of clinical guidelines in the treatment of hypertensive patients in general practice, by means of a CDSS and several procedures for implementation did not result in clinically significant changes in the doctors' behaviour. Of importance are both the lack of user-friendliness of the specific CDSS and problems in performing time-consuming multidimensional procedures.

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Year:  1998        PMID: 10321438     DOI: 10.1080/080370598437114

Source DB:  PubMed          Journal:  Blood Press        ISSN: 0803-7051            Impact factor:   2.835


  14 in total

Review 1.  Clinical Decision Support Systems and Prevention: A Community Guide Cardiovascular Disease Systematic Review.

Authors:  Gibril J Njie; Krista K Proia; Anilkrishna B Thota; Ramona K C Finnie; David P Hopkins; Starr M Banks; David B Callahan; Nicolaas P Pronk; Kimberly J Rask; Daniel T Lackland; Thomas E Kottke
Journal:  Am J Prev Med       Date:  2015-11       Impact factor: 5.043

2.  Effect of computerised evidence based guidelines on management of asthma and angina in adults in primary care: cluster randomised controlled trial.

Authors:  Martin Eccles; Elaine McColl; Nick Steen; Nikki Rousseau; Jeremy Grimshaw; David Parkin; Ian Purves
Journal:  BMJ       Date:  2002-10-26

3.  Implementing guidelines for follow-up after surgery with ventilation tube in the tympanic membrane in Norway: a retrospective study.

Authors:  Bjarne Austad; Irene Hetlevik; Vegard Bugten; Siri Wennberg; Anita Helene Olsen; Anne-Sofie Helvik
Journal:  BMC Ear Nose Throat Disord       Date:  2013-01-08

Review 4.  Can computerized clinical decision support systems improve practitioners' diagnostic test ordering behavior? A decision-maker-researcher partnership systematic review.

Authors:  Pavel S Roshanov; John J You; Jasmine Dhaliwal; David Koff; Jean A Mackay; Lorraine Weise-Kelly; Tamara Navarro; Nancy L Wilczynski; R Brian Haynes
Journal:  Implement Sci       Date:  2011-08-03       Impact factor: 7.327

Review 5.  Computerized clinical decision support systems for chronic disease management: a decision-maker-researcher partnership systematic review.

Authors:  Pavel S Roshanov; Shikha Misra; Hertzel C Gerstein; Amit X Garg; Rolf J Sebaldt; Jean A Mackay; Lorraine Weise-Kelly; Tamara Navarro; Nancy L Wilczynski; R Brian Haynes
Journal:  Implement Sci       Date:  2011-08-03       Impact factor: 7.327

Review 6.  Computerized clinical decision support systems for drug prescribing and management: a decision-maker-researcher partnership systematic review.

Authors:  Brian J Hemens; Anne Holbrook; Marita Tonkin; Jean A Mackay; Lorraine Weise-Kelly; Tamara Navarro; Nancy L Wilczynski; R Brian Haynes
Journal:  Implement Sci       Date:  2011-08-03       Impact factor: 7.327

7.  A Multistep Maturity Model for the Implementation of Electronic and Computable Diagnostic Clinical Prediction Rules (eCPRs).

Authors:  Derek Corrigan; Ronan McDonnell; Atieh Zarabzadeh; Tom Fahey
Journal:  EGEMS (Wash DC)       Date:  2015-07-07

8.  Prescribing Data in General Practice Demonstration (PDGPD) project--a cluster randomised controlled trial of a quality improvement intervention to achieve better prescribing for chronic heart failure and hypertension.

Authors:  Margaret Williamson; Magnolia Cardona-Morrell; Jeffrey D Elliott; James F Reeve; Nigel P Stocks; Jon Emery; Judith M Mackson; Jane M Gunn
Journal:  BMC Health Serv Res       Date:  2012-08-23       Impact factor: 2.655

Review 9.  Does the routine use of global coronary heart disease risk scores translate into clinical benefits or harms? A systematic review of the literature.

Authors:  Stacey L Sheridan; Eric Crespo
Journal:  BMC Health Serv Res       Date:  2008-03-20       Impact factor: 2.655

10.  Improving prescribing of antihypertensive and cholesterol-lowering drugs: a method for identifying and addressing barriers to change.

Authors:  Atle Fretheim; Andrew D Oxman; Signe Flottorp
Journal:  BMC Health Serv Res       Date:  2004-09-03       Impact factor: 2.655

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