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Research ArticleOriginal Research

Impact of an Evidence-Based Computerized Decision Support System on Primary Care Prescription Costs

S. Troy McMullin, Thomas P. Lonergan, Charles S. Rynearson, Thomas D. Doerr, Paul A. Veregge and Edward S. Scanlan
The Annals of Family Medicine September 2004, 2 (5) 494-498; DOI: https://doi.org/10.1370/afm.233
S. Troy McMullin
PharmD
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Thomas P. Lonergan
PharmD, MBA
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Charles S. Rynearson
RPh, MS
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Thomas D. Doerr
MD
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Paul A. Veregge
MD, MS
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Edward S. Scanlan
MD
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Article Figures & Data

Tables

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    Table 1.

    Baseline Characteristics

    Baseline CharacteristicsIntervention Group(n = 19) No.Control Group(n = 19) No.
    GERD = gastroesophageal reflux disease, COX-2 inhibitors = selective cyclooxygenase 2 inhibitors, NSAIDs = nonsteroidal anti-inflammatory drugs.
    P >.1 for all baseline comparisons, except GERD medications (P = .04).
    Member months91,54292,094
    Number of patients treated with a new prescription3,3053,307
    Number of new prescriptions5,9205,920
    Number of new and refilled prescriptions13,34713,533
    Number of patients with a new prescription from the high-cost drug categories No. (%) No. (%)
        Antibiotics923 (28)954 (29)
        Antidepressants369 (11)367 (11)
        Rhinitis medications334 (10)346 (11)
        GERD medications253 (8)189 (6)
        Asthma medications262 (8)218 (7)
        Diabetes medications154 (5)177 (5)
        Antihypertension medications, diuretics393 (12)411 (12)
        Lipid-lowering therapies150 (5)204 (6)
        Triptans and headache medications91 (3)79 (2)
        COX-2 inhibitors and NSAIDs385 (12)277 (8)
    Total2,496 (76)2,434 (74)
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    Table 2.

    Primary Outcome Measures

    Prescription CategoryBaseline Mean $ (SE)Study Period Mean $ (SE)Change From Baseline P * Value
    Note: values are least squares mean (SE). P >.1 for all baseline comparisons.
    * P value for mixed model analysis (group-time interaction).
    † P <.05 for comparison of baseline vs study period.
    New prescriptions
        Intervention group38.53 (1.63)37.28 (1.62)−1.25.02
        Control group38.47 (1.60)41.38 (1.61)2.91†
    New and refilled prescriptions
        Intervention group43.71 (1.60)40.56 (1.59)−3.15†.01
        Control group44.06 (1.59)45.90 (1.59)1.84
    • View popup
    Table 3.

    High-Cost Drug Categories

    Prescription CategoryBaseline Mean $ (SE)Study Period Mean $ (SE)Change From Baseline P * Value
    Note: values are least squares mean (SE). P >.1 for all baseline comparisons except rhinitis medications (P = .03) and triptan and headache medications (P = .07).
    GERD = gastroesophageal reflux disease, COX-2 inhibitors = selective cyclooxygenase 2 inhibitors, NSAIDs = nonsteroidal anti-inflammatory drugs.
    * P value for mixed model analysis (group-time interaction).
    † P <.05 for difference between groups during the study period.
    ‡ P <.05 for comparison of baseline vs study period.
    Antibiotics
        Intervention group27.19 (2.27)25.04 (2.29)−2.15.69
        Control group29.92 (2.18)28.88 (2.26)−1.04
    Antidepressants
        Intervention group60.37 (2.87)50.59 (2.83)−9.78†‡.06
        Control group62.05 (2.85)60.22 (2.93)−1.83
    Rhinitis medications
        Intervention group69.11 (2.21)66.58 (2.07)−2.53.24
        Control group62.27 (2.85)64.48 (2.10)2.21
    GERD medications
        Intervention group96.08 (6.21)84.38 (6.04)−11.70†.10
        Control group104.73 (6.25)108.83 (5.93)4.10
    Asthma medications
        Intervention group62.65 (4.54)49.92 (4.55)−12.73‡.25
        Control group64.84 (4.47)61.73 (4.58)−3.11
    Diabetes medications
        Intervention group53.15 (4.74)42.09 (5.14)−11.06.94
        Control group59.95 (4.55)48.22 (4.83)−11.73
    Antihypertension medications, diuretics
        Intervention group23.52 (1.19)18.36 (1.16)−5.16†‡.30
        Control group25.83 (1.18)22.65 (1.15)−3.18‡
    Lipid-lowering agents
        Intervention group73.06 (4.07)66.55 (3.95)−6.51.49
        Control group74.85 (3.76)62.98 (3.85)−11.87‡
    Triptans and headache medications
        Intervention group94.81 (9.60)67.02 (9.22)−27.79‡.01
        Control group69.26 (9.69)88.95 (9.64)19.69
    COX-2 inhibitors and NSAIDs
        Intervention group25.51 (4.69)29.53 (4.64)4.02.59
        Control group33.00 (4.63)40.53 (4.54)7.53
    Totals for high-cost drug categories
        Intervention group49.94 (2.05)45.03 (2.03)−4.91†‡.06
        Control group52.12 (2.03)51.63 (2.02)−0.49

Additional Files

  • Tables
  • Supplemental Figures

    Figure 1: Prewritten prescriptions most appropriate for gastroesophageal reflux, with a brief, diagnosis-specific message; Figure 2: Example message-of-the-day screen.

    Files in this Data Supplement:

    • Supplemental data: Figure 1 - PDF file, 1 page, 47 KB
    • Supplemental data: Figure 2 - PDF file, 1 page, 45 KB
  • The Article in Brief

    Doctors often learn about a new drug from information provided by the pharmaceutical company that makes the drug. Computer systems have been developed to help doctors select prescriptions based on scientific evidence. These systems also provide the doctor with information about the effectiveness, safety, and costs of drugs; new research findings; and prewritten prescriptions. Spending on drugs dropped among doctors using such a system, while spending on drugs increased among doctors not using the system. *Conflicts of interest: Authors McMullin and Longergan are salaried employees of WELLINX (St. Louis, Mo), owner of the computerized decision support system used by the intervention group. Co-author Dr. Thomas D. Doerr, MD, is one of the founders of WELLINX and has an ownership interest in the company.

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The Annals of Family Medicine: 2 (5)
The Annals of Family Medicine: 2 (5)
Vol. 2, Issue 5
1 Sep 2004
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Impact of an Evidence-Based Computerized Decision Support System on Primary Care Prescription Costs
S. Troy McMullin, Thomas P. Lonergan, Charles S. Rynearson, Thomas D. Doerr, Paul A. Veregge, Edward S. Scanlan
The Annals of Family Medicine Sep 2004, 2 (5) 494-498; DOI: 10.1370/afm.233

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Impact of an Evidence-Based Computerized Decision Support System on Primary Care Prescription Costs
S. Troy McMullin, Thomas P. Lonergan, Charles S. Rynearson, Thomas D. Doerr, Paul A. Veregge, Edward S. Scanlan
The Annals of Family Medicine Sep 2004, 2 (5) 494-498; DOI: 10.1370/afm.233
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