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    <title>Wijk, M.A.M. van</title>
    <link>http://repub.eur.nl/res/aut/13793/</link>
    <description>List of Publications</description>
    <language>en</language>
    <image>
      <url>http://repub.eur.nl/static-eur/img/logo.png</url>
      <title>RePub, Erasmus University Rotterdam</title>
      <link>http://repub.eur.nl</link>
    </image>
    <item>
      <title>The impact of electronic memory in the treatment of dyslipidemia (Article)</title>
      <link>http://repub.eur.nl/res/pub/26932/</link>
      <pubDate>2009-09-01T00:00:00Z</pubDate>
      <description></description>
    </item> <item>
      <title>Electronic alerts versus on-demand decision support to improve dyslipidemia treatment: A cluster randomized controlled trial (Article)</title>
      <link>http://repub.eur.nl/res/pub/29148/</link>
      <pubDate>2008-01-01T00:00:00Z</pubDate>
      <description>BACKGROUND - Indirect evidence shows that alerting users with clinical decision support systems seems to change behavior more than requiring users to actively initiate the system. However, randomized trials comparing these methods in a clinical setting are lacking. We studied the effect of both alerting and on-demand decision support with respect to screening and treatment of dyslipidemia based on the guidelines of the Dutch College of General Practitioners. METHODS AND RESULTS - In a clustered randomized trial design, 38 Dutch general practices (77 physicians) and 87 886 of their patients (39 433 men 18 to 70 years of age and 48 453 women 18 to 75 years of age) who used the ELIAS electronic health record participated. Each practice was assigned to receive alerts, on-demand support, or no intervention. We measured the percentage of patients screened and treated after 12 months of follow-up. In the alerting group, 65% of the patients requiring screening were screened (relative risk versus control=1.76; 95% confidence interval, 1.41 to 2.20) compared with 35% of patients in the on-demand group (relative risk versus control=1.28; 95% confidence interval, 0.98 to 1.68) and 25% of patients in the control group. In the alerting group, 66% of patients requiring treatment were treated (relative risk versus control=1.40; 95% confidence interval, 1.15 to 1.70) compared with 40% of patients (relative risk versus control=1.19; 95% confidence interval, 0.94 to 1.50) in the on-demand group and 36% of patients in the control group. CONCLUSION - The alerting version of the clinical decision support systems significantly improved screening and treatment performance for dyslipidemia by general practitioners. </description>
    </item> <item>
      <title>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 (Article)</title>
      <link>http://repub.eur.nl/res/pub/35595/</link>
      <pubDate>2007-02-01T00:00:00Z</pubDate>
      <description>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 (€670 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 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. </description>
    </item> <item>
      <title>Identification of the four conventional cardiovascular disease risk factors by Dutch general practitioners. (Article)</title>
      <link>http://repub.eur.nl/res/pub/13951/</link>
      <pubDate>2005-10-01T00:00:00Z</pubDate>
      <description>BACKGROUND: Detecting and managing the four major conventional risk factors, smoking, hypertension, diabetes mellitus, and hypercholesterolemia, is pivotal in the primary and secondary prevention of cardiovascular disease (CVD). OBJECTIVE: To assess the preventive activities of general practitioners (GPs) regarding the four conventional risk factors and the associated measurements for cardiovascular risk factors by GPs in relation to the time of the first clinical presence of CVD. SETTING: Large longitudinal general practice research database (the Integrated Primary Care Information database) in the Netherlands from September 1999 to August 2003. PARTICIPANTS AND METHODS: Patients &gt; 18 year of age with newly diagnosed CVD with a valid history of at least 1 year before and after the first clinical diagnosis of CVD. Details on conventional risk factors and associated measurements for the four cardiovascular risk factors were assessed in relation to the first clinical diagnosis of CVD. RESULTS: In total, 157,716 patients met the study inclusion criteria. Of the 2,594 patients with newly diagnosed CVD, at least one of the four investigated risk factors was observed in 76% of women and 73% of men. In 40% of cases, no risk factor was recorded before the date of the first CVD diagnosis. In 16% of cases, no associated measurements were present before the first CVD diagnosis. CONCLUSION: In daily practice, GPs seem to focus on the secondary prevention of CVD. Intervention strategies that aim to influence GPs' case finding behavior should focus on increasing the awareness of physicians in performing risk factor-associated measurements in patients who are eligible for the primary prevention of CVD. Further research will have to show the feasibility and effectiveness of such intervention strategies.</description>
    </item> <item>
      <title>AsthmaCritic: issues in designing a noninquisitive critiquing system for daily practice. (Article)</title>
      <link>http://repub.eur.nl/res/pub/13168/</link>
      <pubDate>2003-09-01T00:00:00Z</pubDate>
      <description>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.</description>
    </item> <item>
      <title>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 (Article)</title>
      <link>http://repub.eur.nl/res/pub/10299/</link>
      <pubDate>2003-01-01T00:00:00Z</pubDate>
      <description>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.</description>
    </item> <item>
      <title>Compliance of general practitioners with a guideline-based decision support system for ordering blood tests (Article)</title>
      <link>http://repub.eur.nl/res/pub/9809/</link>
      <pubDate>2002-01-01T00:00:00Z</pubDate>
      <description>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 &gt;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.</description>
    </item> <item>
      <title>Feasibility of AsthmaCritic, a decision-support system for asthma and COPD which generates patient-specific feedback on routinely recorded data in general practice (Article)</title>
      <link>http://repub.eur.nl/res/pub/9987/</link>
      <pubDate>2002-01-01T00:00:00Z</pubDate>
      <description>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 (&lt;12 years and &gt; 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 &gt; or =12 years was "non-compliant
      prescription" (23.7%), whereas the most frequent category in the case of
      patients &lt;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.</description>
    </item> <item>
      <title>BloodLink: Computer-based Decision Support for Blood Test Ordering; Assessment of the effect on physicians' test-ordering behavior (Doctoral Thesis)</title>
      <link>http://repub.eur.nl/res/pub/20428/</link>
      <pubDate>2000-10-25T00:00:00Z</pubDate>
      <description>Requesting blood tests is an important aspect of the health care delivered by
the general practitioner in The Netherlands. About three to four percent of the
patients encounters with Dutch general practitioners result in the physician
requesting blood tests, which is lower than in many other European countries. Although test ordering is limited to three to four percent of patients
encounters with the general practitioner, the use of diagnostic tests in general
practice, has known an overwhelming growth in the years behind. Physicians'
use of blood tests, however, is not always appropriate. General
practitioners are taught test ordering when training in hospitals before settling
down in general practice. Hospital morbidity, however, is different from
morbidity patterns in general practice. Appropriate test ordering
panels in hospital settings, therefore, are not always appropriate for primary
care. Nevertheless, general practitioners use these test panels, once taught,
automatically in the primary care setting. Uncertainty and the desire not
to miss a diagnosis stimulate the use of blood tests. Excessive
and inappropriate test ordering is not only expensive but also may even add to
the uncertainty by generating unexpected abnormal or false positive values.
The use of blood tests may thus even increase uncertainty and stimu late
further unnecessary diagnostic investigations. It is important,
therefore, that once the decision to obtain blood tests has been made,
appropriate test ordering is adhered to. Influencing this heuristic test-ordering
behavior has proven to be difficult.</description>
    </item> <item>
      <title>Analysis of the practice guidelines of the Dutch College of General Practitioners with respect to the use of blood tests (Article)</title>
      <link>http://repub.eur.nl/res/pub/9140/</link>
      <pubDate>1999-01-01T00:00:00Z</pubDate>
      <description>OBJECTIVE: To determine the consistency among the practice guidelines of
          the Dutch College of General Practitioners with respect to the use of
          blood tests. METHODS: The authors evaluated 64 practice guidelines of the
          Dutch College of General Practitioners. For each guideline, they analyzed
          each sentence that contained a reference to a blood test to determine the
          clinical situation in which the test should be performed (the indication)
          and to determine the tests that should be performed in that situation (the
          recommended test). An incomplete recommendation refers to a guideline that
          mentioned a blood test but did not identify the indication for that test.
          An inconsistency refers to the situation in which one guideline
          recommended a certain test for a given indication whereas another
          guideline mentioned the same indication but did not recommend the same
          test. RESULTS: Twenty-seven practice guidelines mentioned blood tests. Of
          these, three explicitly recommended not to request blood tests. Five
          guidelines contained incomplete recommendations, and the authors
          encountered two inconsistencies among the guidelines. Twenty-three
          guidelines mentioned blood tests and allowed the authors to identify
          indications and recommended tests. CONCLUSION: The identification of
          indications and recommended tests allows evaluation of consistency among
          practice guidelines. Although some incomplete recommendations and
          inconsistencies were discovered, the majority of the guidelines provide
          clear and unambiguous recommendations for blood-test ordering in primary
          care.</description>
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