CholGate - The Effect of Alerting Versus on Demand Computer Based Decision Support on Treatment of Dyslipidaemia by General Practitioners
Study Details
Study Description
Brief Summary
Indirect evidence show alerting physicians with clinical decision support systems (CDSS) seem to change behaviour more than requiring users to actively initiate the system. However, randomized trials comparing these methods in a clinical setting are lacking. In this study we compare the effect of Alerting physicians with a CDSS or actively requiring initiation of CDSS on the adherence of Dutch general practitioners to the Cholesterol guideline of the Dutch college of General Practitioners.
| Condition or Disease | Intervention/Treatment | Phase |
|---|---|---|
|
N/A |
Detailed Description
Indirect evidence show alerting physicians with clinical decision support systems (CDSS) seem to change behaviour more than requiring users to actively initiate the system. However, randomized trials comparing these methods in a clinical setting are lacking. In this study we compare the effect of Alerting physicians with a CDSS or actively requiring initiation of CDSS on the adherence of Dutch general practitioners to the Cholesterol guideline of the Dutch college of General Practitioners, using a clinical decsion support system called CholGate. This system has the functionality to provide both Alerting and On-Demand decision support. Users are free to negate the advise provided by the decision support system. The trial will have a cluster randomized structure.
Study Design
Outcome Measures
Primary Outcome Measures
- The percentage of correctly screened patients using anonymous patient record data. []
- The percentage of correctly treated patients using anonymous patient record data. []
Eligibility Criteria
Criteria
Inclusion Criteria:
-
All general practices using only Elias electronic patient records (ISOFT b.V)
-
All patients meeting the screening and treatment criteria of the Dutch college of general practitioners cholesterol guideline
Exclusion Criteria:
- Practices that used paper based records
Contacts and Locations
Locations
| Site | City | State | Country | Postal Code | |
|---|---|---|---|---|---|
| 1 | Department of Medical informatics, ErasmusMC | Rotterdam | South Holland | Netherlands | 3000DR |
Sponsors and Collaborators
- Erasmus Medical Center
- Dutch Heart Foundation
Investigators
- Principal Investigator: Jacobus T van Wyk, MD, PhD, ErasmusMC University Medical Centre Rotterdam
Study Documents (Full-Text)
None provided.More Information
Publications
- Dieleman JP, van Wyk JT, van Wijk MA, van Herpen G, Straus SM, Dunselman H, Sturkenboom MC. Differences between statins on clinical endpoints: a population-based cohort study. Curr Med Res Opin. 2005 Sep;21(9):1461-8.
- van Wyk JT, Picelli G, Dieleman JP, Mozaffari E, Kramarz P, van Wijk MA, van der Lei J, Sturkenboom MC. Management of hypertension and hypercholesterolaemia in primary care in The Netherlands. Curr Med Res Opin. 2005 Jun;21(6):839-48.
- Van Wyk JT, Van Wijk MA, Moorman PW, Mosseveld M, Van Der Lei J. Cholgate - a randomized controlled trial comparing the effect of automated and on-demand decision support on the management of cardiovascular disease factors in primary care. AMIA Annu Symp Proc. 2003:1040.
- van Wyk JT, van Wijk MA, Moorman PW, Mosseveld M, van der Lei J. User requirements rating and knowledge-level of general practitioners at the start of CholGate - a lipid management decision support project. AMIA Annu Symp Proc. 2005:1146.
- van Wyk JT, van Wijk MA, Moorman PW, van der Lei J. Cross-sectional analysis of guidelines on cardiovascular disease risk factors: going to meet the inconsistencies. Med Decis Making. 2006 Jan-Feb;26(1):57-62.
- van Wyk JT, van Wijk MA, Sturkenboom MC, Moorman PW, van der Lei J. Identification of the four conventional cardiovascular disease risk factors by Dutch general practitioners. Chest. 2005 Oct;128(4):2521-7.
- Van Wyk JT, Van Wijk MA. Analysis of Dutch general practice guidelines for inconsistencies with respect to the management of cardiovascular disease risk factors. Stud Health Technol Inform. 2004;107(Pt 1):179-86.
- Van Wyk JT, Van Wijk MA. Assessment of the possibility to classify patients according to cholesterol guideline screening criteria using routinely recorded electronic patient record data. Stud Health Technol Inform. 2002;93:39-46.
- 2000B161