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Research ArticleOriginal Research

Effect of Physician Participation in a Multi-element Health Information and Data Exchange Program on Chronic Illness Medication Adherence

Samantha F. De Leon, Lucas Pauls, Vibhuti Arya, Sarah C. Shih, Jesse Singer and Jason J. Wang
The Journal of the American Board of Family Medicine November 2015, 28 (6) 742-749; DOI: https://doi.org/10.3122/jabfm.2015.06.150010
Samantha F. De Leon
From the New York City Department of Health & Mental Hygiene, Primary Care Information Project (PCIP), Long Island City, NY (SFDL, SCS, JS, JJW); the 32 BJ Health Fund, New York, NY (LP); and the Clinical Pharmacy Practice, St. John's University, Queens, NY (VA).
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Lucas Pauls
From the New York City Department of Health & Mental Hygiene, Primary Care Information Project (PCIP), Long Island City, NY (SFDL, SCS, JS, JJW); the 32 BJ Health Fund, New York, NY (LP); and the Clinical Pharmacy Practice, St. John's University, Queens, NY (VA).
MPA
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Vibhuti Arya
From the New York City Department of Health & Mental Hygiene, Primary Care Information Project (PCIP), Long Island City, NY (SFDL, SCS, JS, JJW); the 32 BJ Health Fund, New York, NY (LP); and the Clinical Pharmacy Practice, St. John's University, Queens, NY (VA).
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Sarah C. Shih
From the New York City Department of Health & Mental Hygiene, Primary Care Information Project (PCIP), Long Island City, NY (SFDL, SCS, JS, JJW); the 32 BJ Health Fund, New York, NY (LP); and the Clinical Pharmacy Practice, St. John's University, Queens, NY (VA).
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Jesse Singer
From the New York City Department of Health & Mental Hygiene, Primary Care Information Project (PCIP), Long Island City, NY (SFDL, SCS, JS, JJW); the 32 BJ Health Fund, New York, NY (LP); and the Clinical Pharmacy Practice, St. John's University, Queens, NY (VA).
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Jason J. Wang
From the New York City Department of Health & Mental Hygiene, Primary Care Information Project (PCIP), Long Island City, NY (SFDL, SCS, JS, JJW); the 32 BJ Health Fund, New York, NY (LP); and the Clinical Pharmacy Practice, St. John's University, Queens, NY (VA).
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Article Figures & Data

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    Table 1. Member Demographics at Baseline (2008)
    Non-PCIP (n = 15,608)PCIP (n = 4,477)PCIP and Non-PCIP (Excluded)* (n = 10,652)
    Member demographics†
        Mean age (years), mean (SD)50.29 (10.95)49.20 (10.99)50.46 (10.52)
        Male sex, %82.7090.0271.48
        Diabetes (any diagnosis), %23.8619.3224.44
        Hypertension (any diagnosis), %58.0747.2657.97
        Diabetes and hypertension (any diagnosis), %20.0315.6620.59
    Member prescription patterns
        Diabetes-related prescriptionsn = 1,661n = 451n = 1,149
            Medications‡1.721.731.74
            Prescriptions filled§5.986.386.20
        Hypertension-related prescriptionsn = 5,460n = 1,439n = 3,519
            Medications†‡1.291.341.32
            Prescriptions filled§5.896.235.85
        Lipid-controlling prescriptionsn = 3,922n = 916n = 2,453
            Medications‡1.171.161.18
            Prescriptions filled†§3.273.343.14
    • ↵* Union members who had outpatient primary care visits with both Primary Care Information Project (PCIP) and non-PCIP providers were excluded from the analyses.

    • ↵† P value < .05.

    • ↵‡ Medications refers to the total number of unique medications (unique therapeutic drug classes) for which a member has filled prescriptions.

    • ↵§ Prescriptions filled refers to the total number of prescription claims that were filled by the member.

    • SD, standard deviation.

    • View popup
    Table 2. Proportion of Medication-Adherent Union Members, from Baseline to the End of the Study, by Primary Care Provider Participation in the Primary Care Information Project
    Medication TypePatients (n)BaselineAdherent Members at the End of the Study (%)*Change (End of Study − Baseline)†
    MPR (%)Adherent Members (%)*
    Diabetes (only)
        Diabetes-specific‡
            Non-PCIP20579.0126.0727.94+1.87
            PCIP6369.7018.5231.76+13.24
        Lipid-controlling§
            Non-PCIP12976.6716.6313.24−3.39
            PCIP4065.3211.1116.47+5.36
    Hypertension (only)
        Hypertension-specific†
            Non-PCIP265279.3733.7537.88+4.13
            PCIP73577.6132.8937.25+4.36
        Lipid-controlling§
            Non-PCIP119877.6314.5917.05+2.46
            PCIP29576.4712.6213.51+0.89
    Comorbid diabetes and hypertension
        Diabetes-specific‡
            Non-PCIP132279.6737.3737.87+0.50
            PCIP35776.6336.0437.10+1.06
        Hypertension-specific‖
            Non-PCIP153379.5244.4447.76+3.32
            PCIP39077.3940.5741.94+1.37
        Lipid-controlling§
            Non-PCIP104578.5529.2531.29+2.04
            PCIP25075.4624.3428.23+3.89
    • ↵* The proportion of members with a medication possession ratio (MPR) ≥80%.

    • ↵† Change in the proportion of members with an MPR ≥80% from baseline (2008) to the end of the study (2011).

    • ↵‡ Diabetes therapeutic drug classes include biguanides, sulfonylureas, thiazolidinediones, insulins, and dipeptidyl peptidase IV inhibitors.

    • ↵§ Lipid-controlling therapeutic drug classes include HMG-CoA reductase inhibitors and fibric acid derivatives.

    • ↵‖ Hypertension therapeutic drug classes include angiotensin-converting enzyme inhibitors, angiotensin II receptor antagonists, β-adrenergic blocking agents, calcium channel blocking agents (dihydropyridines), phosphodiesterase inhibitors, thiazide diruetics.

    • PCIP, Primary Care Information Project.

    • View popup
    Table 3. Logistic Regression Models Adjusting for Age, Sex, and Primary Care Provider Participation in the Primary Care Information Project
    AllPCMH Pilot Practices Removed
    OR*95% CIOR*95% CI
    Diabetes (only)
        Diabetes-specific medications†
            Non-PCIP1.140.81–1.601.120.79–1.58
            PCIP2.03‡1.08–3.831.760.96–3.24
        Lipid-controlling medications§
            Non-PCIP0.850.55–1.320.830.53–1.29
            PCIP1.640.73–3.651.590.73–3.44
    Hypertension (only)
        Hypertension-specific medications‖
            Non-PCIP1.26‡1.15–1.381.26‡1.15–1.38
            PCIP1.24‡1.03–1.491.24‡1.03–1.48
        Lipid-controlling medications§
            Non-PCIP1.28‡1.13–1.441.28‡1.13–1.49
            PCIP1.110.86–1.441.160.90–1.50
    Comorbid diabetes and hypertension
        Diabetes-specific medications†
            Non-PCIP1.030.90–1.181.050.92–1.21
            PCIP1.060.81–1.401.140.88–1.49
        Hypertension-specific medications‖
            Non-PCIP1.19‡1.04–1.361.19‡1.04–1.36
            PCIP1.100.84–1.441.100.85–1.43
        Lipid-controlling medications§
            Non-PCIP1.140.99–1.321.161.00–1.33
            PCIP1.260.93–1.721.250.94–1.68
    • ↵* Odd ratios (OR) shown for changes in the odds of the proportion of members who are adherent (i.e., medication possession ratio ≥80%) from baseline to the end of the study.

    • ↵† Diabetes therapeutic drug classes include biguanides, sulfonylureas, thiazolidinediones, insulins, dipeptidyl peptidase IV inhibitors.

    • ↵‡ P values <.05.

    • ↵§ Lipid-controlling therapeutic drug classes include HMG-CoA reductase inhibitors and fibric acid derivatives.

    • ↵‖ Hypertension therapeutic drug classes include angiotensin-converting enzyme inhibitors, angiotensin II receptor antagonists, beta-adrenergic blocking agents, calcium channel blocking agents (dihydropyridines), phosphodiesterase inhibitors, thiazide diruetics.

    • CI, confidence interval; PCMH, patient-centered medical home; OR, odds ratio; PCIP, Primary Care Information Project.

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The Journal of the American Board of Family     Medicine: 28 (6)
The Journal of the American Board of Family Medicine
Vol. 28, Issue 6
November-December 2015
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Effect of Physician Participation in a Multi-element Health Information and Data Exchange Program on Chronic Illness Medication Adherence
Samantha F. De Leon, Lucas Pauls, Vibhuti Arya, Sarah C. Shih, Jesse Singer, Jason J. Wang
The Journal of the American Board of Family Medicine Nov 2015, 28 (6) 742-749; DOI: 10.3122/jabfm.2015.06.150010

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Effect of Physician Participation in a Multi-element Health Information and Data Exchange Program on Chronic Illness Medication Adherence
Samantha F. De Leon, Lucas Pauls, Vibhuti Arya, Sarah C. Shih, Jesse Singer, Jason J. Wang
The Journal of the American Board of Family Medicine Nov 2015, 28 (6) 742-749; DOI: 10.3122/jabfm.2015.06.150010
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