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Research

Characteristics of GPs responding to an educational intervention to minimise inappropriate prescriptions: subgroup analyses of the Rx-PAD study

Sture Rognstad, Mette Brekke, Ibrahimu Mdala, Arne Fetveit, Svein Gjelstad and Jørund Straand
BJGP Open 2018; 2 (1): bjgpopen18X101373. DOI: https://doi.org/10.3399/bjgpopen18X101373
Sture Rognstad
1 University Lecturer, General Practice Research Unit (AFE), Department of General Practice, Institute of Health and Society, University of Oslo, , Norway
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  • For correspondence: sture.rognstad@medisin.uio.no
Mette Brekke
2 Professor, General Practice Research Unit (AFE), Department of General Practice, Institute of Health and Society, University of Oslo, , Norway
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Ibrahimu Mdala
3 Statistician, General Practice Research Unit (AFE), Department of General Practice, Institute of Health and Society, University of Oslo, , Norway
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Arne Fetveit
4 Assistant Professor, General Practice Research Unit (AFE), Department of General Practice, Institute of Health and Society, University of Oslo, , Norway
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Svein Gjelstad
5 Assistant Professor, General Practice Research Unit (AFE), Department of General Practice, Institute of Health and Society, University of Oslo, , Norway
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Jørund Straand
6 Assistant Professor, General Practice Research Unit (AFE), Department of General Practice, Institute of Health and Society, University of Oslo, , Norway
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    Box 1. Thirteen explicit criteria for PIPs used for assessing the appropriateness of GPs’ prescriptions to older patients (≥70 years).
    Single drugs Combination of drugs
    1. Tricyclic antidepressants

    • Amitriptyline

    • Doxepine

    • Trimipramine

    8. Combination of a beta-blocker with either

    • Verapamil or

    • Diltiazem

    2. First generation antihistamines

    • Dexchlorpheniramine

    • Promethazine

    • Alimemazine

    • Hydroxycine

    9. Combination of an NSAID and warfarin
    3. First generation (low potency)

    • Chlorpromazine

    • Chlorprotixene

    • Levoprometazine

    • Prochlorperazine

    10. Combination of an NSAID (or a Cox-2 inhibitor)
    with an ACE-inhibitor (or an ARB)
    4. Long-acting benzodiazepines

    • Carisoprodol

    11. Combination of an NSAID and a SSRI
    5. Muscle relaxant

    • Carisoprodol

    12. Combination of an NSAID and a diuretic
    6. Strong analgesics

    • Propoxyphene

    • Pethidine

    • Opioids with spasmolytics 

    13. Concurrent use of ≥3 psychotropic drugs within classes:

    • Opioid analgesics

    • Hypnotics

    • Tranquillisers 

    • Antipsychotics

    • Antidepressants 

    7. Theophylline tablets
    • ACE = angiotensin converting enzyme. ARB = Angiotensin receptor blocker. COX = cyclooxygenase. NSAID = non-steroidal anti-inflammatory drug. PIP = potentially inappropriate prescription. SSRI = selective serotonin reuptake inhibitor.

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    Table 1. Unadjusted summary data showing the prevalence of PIPs and estimates of RR with 95% CIs in different subgroups of GP and drug-related characteristics at pre- and post-intervention. The total number of prescriptions pre-intervention was 1 034 033 and in the post-intervention period there were 1 104 391 prescriptions.
    GPs, nPIPs prevalence, %Relative riska (95% CI)
    Pre-intervention (n = 23 184)Post-intervention (n = 19 754)
    Overall group 4492.241.790.80 (0.78 to 0.81)
     Intervention2501.320.990.75 (0.73 to 0.77)
     Control1990.920.800.87 (0.84 to 0.89)
    Sex
     Female1390.440.370.83 (0.80 to 0.87)
     Male3101.801.420.79 (0.77 to 0.81)
    Practice setting
     Rural2081.010.800.79 (0.77 to 0.81)
     Urban2411.230.990.80 (0.78 to 0.82)
    Type of practice
     Single-handed380.250.200.80 (0.75 to 0.84)
     Group practice4111.991.590.80 (0.78 to 0.81)
    GP specialist
     No630.200.180.89 (0.84 to 0.95)
     Yes3862.041.610.79 (0.77 to 0.80)
    Age group, yearsb
     27–42840.230.220.95 (0.90 to 1.01)
     43–481020.420.320.77 (0.74 to 0.81)
     49–52750.380.290.77 (0.73 to 0.80)
     53–56980.550.440.79 (0.77 to 0.83)
     57–68900.660.510.78 (0.75 to 0.80)
    Mean PIPs per 100 prescriptions
    1-year pre-interventionb
     0.5–1.6890.240.220.91 (0.86 to 0.96)
     1.7–2.0900.390.330.85 (0.81 to 0.89)
     2.1 –2.3900.490.380.77 (0.74 to 0.80)
     2.4–2.9900.570.440.77 (0.74 to 0.80)
     3.0–6.3900.550.430.77 (0.74 to 0.80)
    Prescriptions per patient in 
    the 1 year pre-intervention
    periodb
     1.9–8.6890.210.200.95 (0.90 to 1.01)
     8.7–10.7900.350.280.79 (0.76 to 0.83)
     10.8–12.8900.440.350.79 (0.76 to 0.83)
     12.9–14.9900.560.440.80 (0.77 to 0.83)
     15.0–32.6900.680.510.76 (0.73 to 0.79)
    • aRelative risk indicates how large the prevalence of PIPs at post-intervention was relative to the prevalence at pre-intervention. Relative risk estimates <1 indicate a reduction of PIPs. bDivided into quintiles by number of GPs. PIP = potentially inappropriate prescription. RR = relative risk.

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    Table 2. The rate of change in PIPs in the intervention group versus the control group after adjusting for the GP subgroup characteristics. Estimates of IRRs showing the changes in PIPs per 100 prescriptions at post-intervention relative to 1 year pre-intervention obtained from the Poisson cluster effects regression model.
    IRR (95% CI) P-value
    PIPs at baseline (ref: control group)
     Intervention1.10 (0.97 to 1.25)0.15
    Within-group reduction of PIPs relative to baseline
     Control0.93 (0.90 to 0.96)<0.01
     Intervention0.80 (0.78 to 0.82)<0.01
    aReduction of PIPs after intervention (ref: control group)
     Intervention0.86 (0.83 to 0.90)<0.01
     Subgroups:
    Age group, years (ref: 27–42 years)
     43–480.85 (0.81 to 0.89)<0.01
     49–520.92 (0.87 to 0.97)<0.01
     53–561.00 (0.95 to 1.05)0.94
     57–681.21 (1.16 to 1.27)<0.01
    Specialist (ref: non-specialist)
     Specialist1.04 (0.99 to 1.08)0.13
    Type of practice (ref: single-handed)
     Group practice1.04 (0.99 to 1.08)0.07
    Sex (ref: female)
     Male1.40 (1.35 to 1.44)<0.01
    Practice setting (ref: rural)
     Urban1.15 (1.11 to 1.19)<0.01
    Mean PIPs p 100 prescriptions at baseline (ref: ≤1.6)
     1.7–2.01.40 (1.34 to 1.45)<0.01
     2.1–2.31.77 (1.71 to 1.84)<0.01
     2.4–2.92.10 (2.02 to 2.18)<0.01
     >2.92.40 (2.30 to 2.50)<0.01
    Prescriptions per patient at baseline (ref: <8.7)
     8.7–10.71.44 (1.38 to 1.51)<0.01
     10.8–12.81.96 (1.88 to 2.05)<0.01
     12.9–14.92.31 (2.20 to 2.42)<0.01
     ≥152.97 (2.83 to 3.12)<0.01
    • IRR = incidence rate ratio. PIP = potentially inappropriate prescription. Ref = reference. aPIPs were 14% (1.0 to 0.86) lower in the intervention arm compared to the control at after intervention.

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    Table 3. Subgroup analyses comparing changes in prescription rates of PIPs by the seven GP-related characteristics. Unadjusted IRRs and their 95% CIs obtained from the Poisson regression model with cluster effects at CME group level showing the changes in PIPs within the subgroups, α = 0.007.
    SubgroupsIntervention groupControl group
    IRR (95% CI)P-valueIRR (95% CI)P-value
    Age group, years
     27–420.92 (0.85 to 0.99)0.0431.12 (1.04 to 1.21)0.004
     43–480.78 (0.72 to 0.82)<0.0070.89 (0.84 to 0.95)0.001
     49–520.81 (0.77 to 0.86)<0.0070.83 (0.77 to 0.90)<0.007
     53–560.81 (0.83 to 0.85)<0.0070.92 (0.86 to 0.98)0.006
     57–680.77 (0.73 to 0.81)<0.0070.92 (0.87 to 0.97)0.003
    Specialist
     Non-specialist0.84 (0.77 to 0.93)<0.0071.04 (0.96 to 1.13)0.329
     Specialist0.80 (0.78 to 0.82)<0.0070.91 (0.88 to 0.94)<0.007
    Type of practice
     Single-handed0.75 (0.68 to 0.83)<0.0070.91 (0.83 to 0.99)0.034
     Group0.80 (0.78 to 0.83)<0.0070.93 (0.90 to 0.96)<0.007
    Sex
     Female0.85 (0.80 to 0.90)<0.0070.93 (0.88 to 0.99)0.027
     Male0.79 (0.77 to 0.81)<0.0070.92 (0.89 to 0.95)<0.007
    Practice setting
     Rural0.80 (0.77 to 0.83)<0.0070.92 (0.88 to 0.96)<0.007
     Urban0.80 (0.78 to 0.83)<0.0070.93 (0.90 to 0.97)<0.007
    Mean PIPs per 100 prescriptions 1 year pre-intervention
     ≤1.60.88 (0.81 to 0.95)0.0011.09 (1.00 to 1.18)0.041
     1.7–2.00.83 (0.78 to 0.88)<0.0071.04 (0.97 to 1.12)0.265
     2.1–2.30.81 (0.76 to 0.85)<0.0070.85 (0.80 to 0.90)<0.007
     2.4–2.90.74 (0.70 to 0.78)<0.0070.89 (0.84 to 0.93)<0.007
     >2.90.80 (0.76 to 0.83)<0.0070.89 (0.83 to 0.96)0.004
    Prescriptions per patient in the 1 year pre-intervention period
     <8.70.90 (0.83 to 0.98)0.0161.16 (1.06 to 1.27)0.001
     8.7–10.70.83 (0.77 to 0.88)<0.0070.87 (0.81 to 0.93)<0.007
     10.8–12.80.80 (0.76 to 0.84)<0.0070.95 (0.88 to 1.02)0.190
     12.9–14.90.80 (0.76 to 0.84)<0.0070.92 (0.87 to 0.97)0.004
     >14.90.77 (0.73 to 0.80)<0.0070.88 (0.83 to 0.93)<0.007
    • IRR = incidence rate ratio.

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Characteristics of GPs responding to an educational intervention to minimise inappropriate prescriptions: subgroup analyses of the Rx-PAD study
Sture Rognstad, Mette Brekke, Ibrahimu Mdala, Arne Fetveit, Svein Gjelstad, Jørund Straand
BJGP Open 2018; 2 (1): bjgpopen18X101373. DOI: 10.3399/bjgpopen18X101373

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Characteristics of GPs responding to an educational intervention to minimise inappropriate prescriptions: subgroup analyses of the Rx-PAD study
Sture Rognstad, Mette Brekke, Ibrahimu Mdala, Arne Fetveit, Svein Gjelstad, Jørund Straand
BJGP Open 2018; 2 (1): bjgpopen18X101373. DOI: 10.3399/bjgpopen18X101373
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