Biomedical subjects

Mees Mosseveld

Publications and source records attributed to Mees Mosseveld.

7 recordsLinked to original sources

PubMed2006

Cost consequences of implementing an electronic decision support system for ordering laboratory tests in primary care: evidence from a controlled prospective study in the Netherlands.

BACKGROUND: The economic consequences of interventions to promote rational, evidence-based use of laboratory tests by physicians are not yet fully understood. We evaluated the cost consequences of a computer-based, guideline-driven decision-support system (CDSS) for ordering blood tests in primary care. METHODS: We installed the CDSS in 118 practices [159 general practitioners (GPs)] throughout The Netherlands and calculated the costs of the intervention in this group. During a period of 6 months before and 6 months after installation of the CDSS, the test-ordering behavior of 87 (109 GPs) of these 118 study practices was studied and the results were compared with those of a nonhistorical control group that did not receive the CDSS. In addition the costs of laboratory requests were calculated for both groups. RESULTS: Total intervention costs, comprising development costs and installation costs, amounted to 79,000 euro (670 euro per practice). Whereas the introduction of the CDSS did not affect the number of order forms submitted to the laboratories, it did reduce the number of blood tests per order form. As a result, the CDSS yielded mean savings on the costs of laboratory requests of 847 euro per practice per 6 months. CONCLUSIONS: This study demonstrates that providing electronic decision support for ordering blood tests in primary care represents an economically promising concept. Savings on laboratory costs are achievable and not offset by disproportionally high intervention costs.

Adult↗

PubMed2005

A technical infrastructure to conduct randomized database studies facilitated by a general practice research database.

General practice research databases are increasingly used to study intended and unintended effects of treatments. However, confounding by indication remains a major problem. The randomized database study methodology has been proposed as a method to combine the strengths of observational database (generalizability) and the strength of the randomized clinical trial (RCT) design (randomization). We developed an infrastructure that enables the execution of randomized database studies with treatment randomization facilitated by a general practice research database. The requirements posed by the methodology of randomized database studies were facilitated by software components. Our assessment showed that it is technically possible to conduct randomized trials in general practice according to the randomized database design. The infrastructure facilitated the conduct of randomized database studies in general practice but some practical difficulties and methodological issues remain. The technical infrastructure seems to be both promising and potentially feasible to facilitate future randomized database studies, although the methodology needs to be evaluated in more detail.

Biomedical Research↗

PubMed2005

User requirements rating and knowledge-level of general practitioners at the start of CholGate - a lipid management decision support project.

In the CholGate project we performed a preliminary study evaluating user requirements and knowledge level on lipid management in 40 primary care practices in The Netherlands. Practitioners rated speed, usability and completeness as important. We hope to show that the knowledge level of physicians regarding lipid management can be passively increased from its current levels by an integrated decision support system.

Attitude to Computers↗

PubMed2003

AsthmaCritic: issues in designing a noninquisitive critiquing system for daily practice.

The noninquisitive critiquing system, AsthmaCritic, uses routinely recorded electronic patient data to select and analyze records of patients with asthma or chronic obstructive pulmonary disease (COPD). The system generates critiquing comments and adds these comments to the patient record. The system was developed by using and expanding an existing generic critiquing system. After a brief overview of the system, this report focuses on the authors' design choices in light of existing literature and the issues that underlie these design choices. Currently, AsthmaCritic is used by primary care physicians and is undergoing clinical evaluation.

Asthma↗

PubMed2003

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.

Automated and on-demand decision support systems integrated into an electronic medical record have proven to be an effective implementation strategy for guidelines. Cholgate is a randomized controlled trial comparing the effect of automated and on-demand decision support on the management of cardiovascular disease factors in primary care.

Cardiovascular Diseases↗

PubMed2002

Feasibility of AsthmaCritic, a decision-support system for asthma and COPD which generates patient-specific feedback on routinely recorded data in general practice.

BACKGROUND: Introducing decision-support systems as a tool to stimulate the dissemination of clinical guidelines in daily practice has been disappointing. Researchers have argued that integration of such systems with clinical practice is a prerequisite for acceptance. The big question concerns the feasibility of a true integration--if only routinely recorded data are used for such a system, can patient-specific feedback be produced? OBJECTIVE: The aim of this study was to assess the feasibility of generating patient-specific feedback based on routinely recorded data in general practice by AsthmaCritic, a decision-support system for asthma and chronic obstructive pulmonary disease (COPD). METHODS: We built the decision-support system AsthmaCritic and assessed its ability to detect asthma and COPD patient records and generate patient-specific feedback by retrospective analysis of routinely recorded data in 103 713 electronic patient records from primary care practices. We grouped feedback into categories of comments by age group (<12 years and > or =12 years). The main outcome measures were the number and percentage of "triggered" (selected) asthma and COPD patient records, and the number and percentage of records on which AsthmaCritic produced at least one feedback comment during the 1-year study period, by category of comments. RESULTS: AsthmaCritic detected 8784 (8.5%) asthma and COPD patient records. During the study period, AsthmaCritic generated 255 664 feedback comments (mean 3.4 per patient visit). The most frequently generated category of comments in the case of patients aged > or =12 years was "non-compliant prescription" (23.7%), whereas the most frequent category in the case of patients <12 years was "non-compliant route" (31.1%). CONCLUSIONS: This study shows that, using routinely recorded data only, AsthmaCritic is able to detect asthma and COPD patient records for further analysis and to produce patient-specific feedback.

Adolescent↗

PubMed2002

Compliance of general practitioners with a guideline-based decision support system for ordering blood tests.

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.

Blood Chemical Analysis↗