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Compliance of general practitioners with a guideline-based decision support system for ordering blood tests
Marc A M van Wijk1, Johan van der Lei, Mees Mosseveld
1Institute of Medical Informatics, Faculty of Medicine and Health Sciences, Erasmus University Rotterdam, 3000 DR Rotterdam, The Netherlands. wijk@mi.fgg.eur.nl
Insights
Dutch general practitioners showed low compliance with blood test ordering guidelines, with 39% adherence. Noncompliance often involved adding extra tests, possibly due to practitioners using newer medical insights.
Area of Science:
- Medical Informatics
- General Practice
- Clinical Guidelines
Background:
- Guidelines are crucial for disseminating medical knowledge.
- Assessed Dutch general practitioners' adherence to blood test ordering guidelines.
- Guidelines from the Dutch College of General Practitioners were the standard.
Purpose of the Study:
- To determine compliance rates of Dutch general practitioners with blood test ordering guidelines.
- To identify reasons for noncompliance in general practice settings.
Main Methods:
- An observational study audited guideline compliance over 12 months.
- A decision support system (BloodLink) integrated with electronic patient records was used.
- Compliance was measured by comparing recommended vs. actual blood tests ordered.
Main Results:
- 71% of orders used the BloodLink software.
- Only 39% of 7346 order forms were compliant with guidelines.
- The primary noncompliance was adding extra tests, some supported by recent guideline revisions.
Conclusions:
- Noncompliance in general practice is largely due to test additions.
- Practitioners may apply emerging medical insights before guideline updates.
- Guideline adherence requires mechanisms to incorporate evolving medical knowledge.
Background:
Guidelines are viewed as a mechanism for disseminating a rapidly increasing body of knowledge. We determined the compliance of Dutch general practitioners with the recommendations for blood test ordering as defined in the guidelines of the Dutch College of General Practitioners.
Methods:
We performed an audit of guideline compliance over a 12-month period (March 1996 through February 1997). In an observational study, a guideline-based decision support system for blood test ordering, BloodLink, was integrated with the electronic patient records of 31 general practitioners practicing in 23 practices (16 solo). BloodLink followed the guidelines of the Dutch College of General Practitioners. We determined compliance by comparing the recommendations for test ordering with the test(s) actually ordered. Compliance was expressed as the percentage of order forms that followed the recommendations for test ordering.
Results:
Of 12 668 orders generated, 9091 (71%) used the decision-support software rather than the paper order forms. Twelve indications accounted for >80% of the 7346 order forms that selected a testing indication in BloodLink. The most frequently used indication for test ordering was "vague complaints" (2209 order forms; 30.1%). Of the 7346 order forms, 39% were compliant. The most frequent type of noncompliance was the addition of tests. Six of the 12 tests most frequently added to the order forms were supported by revisions of guidelines that occurred within 3 years after the intervention period.
Conclusions:
In general practice, noncompliance with guidelines is predominantly caused by adding tests. We conclude that noncompliance with a guideline seems to be partly caused by practitioners applying new medical insight before it is incorporated in a revision of that guideline.
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