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Research ArticleOriginal Research

Bringing Geriatricians to the Front Lines: Evaluation of a Quality Improvement Intervention in Primary Care

Joshua J. Fenton, Martin D. Levine, Lisa D. Mahoney, Patrick J. Heagerty and Edward H. Wagner
The Journal of the American Board of Family Medicine July 2006, 19 (4) 331-339; DOI: https://doi.org/10.3122/jabfm.19.4.331
Joshua J. Fenton
MD, MPH
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Martin D. Levine
MD
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Lisa D. Mahoney
MPH
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Patrick J. Heagerty
PhD
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Edward H. Wagner
MD, MPH
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    Figure 1.

    Hospitalization Rates before and after Geriatric Intervention.

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    Table 1.

    Baseline Demographic, Clinical, and Utilization Characteristics of Intervention Subjects and Matched Controls

    CharacteristicIntervention (N=146)Control (N=437)P Value
    Demographic characteristics
        Age, y, mean (SD)78.6 (8.2)77.3 (7.9).09
        Female, n (%)96 (66)287 (66).99
    Census-linked socioeconomic characteristics*
        Median household income, mean54,58054,370.90
        Proportion of adults who graduated from high school, mean (SD)0.88 (0.09)0.88 (0.08).55
        Proportion of adults of non-white race, mean (SD)0.17 (0.15)0.22 (0.19).01
    Clinical characteristics
        Diabetes, n (%)36 (25)107 (25).97
        Heart disease, n (%)58 (40)140 (32).09
        Cancer diagnosis, n (%)
            None118 (81)362 (83)
            Within 5 years13 (9)34 (8).94
            5–10 years from index date9 (6)23 (5)
            >10 years from index date6 (4)18 (4)
    Dementia or Parkinson’s Disease, n (%)16 (11)27 (6).06
    Recent depression, n (%)4 (3)10 (2).76
    RxRisk score, mean (SD)3210 (2990)3470 (3700).44
    Charlson Comorbidity Index, n (%)
            0118 (81)342 (78)
            111 (8)44 (10).84
            28 (5)23 (5)
            ≥39 (6)28 (6)
        Propensity score, mean (SD0.29 (0.15)0.29 (0.15).84
    Healthcare utilization
        Hospitalizations, mean (SD)†0.31 (0.68)0.26 (0.63).44
        One or more hospitalizations, n (%)32 (22)83 (19).44
        Medical/surgical specialist visits, mean (SD)4.8 (7.5)4.8 (6.3).97
        Outpatient visits, mean (SD)18.7 (14.0)18.3 (13.2).74
        Any nursing home admission, n (%)11 (7.5)29 (6.6).71
        Number of 14-day equivalent high-risk prescriptions, mean (SD)‡4.2 (11.2)4.9 (15.6).58
        Total healthcare costs, median $§50684977.72
    • * Block-level 2000 United States Census data as identified by geocoding techniques using subjects’ 2005 street addresses and ZIP codes. Education and non-white race status pertain to adults over age 25 years. Income and education data were missing for 89 subjects (15.3%), and non-white race data were missing for 105 subjects (18.0%).

    • † During year prior to index date.

    • ‡ Includes selected sedative-hypnotics, antihistamines, muscle relaxants, and tricyclic antidepressants.

    • § Pre-index date costs were missing/incomplete for 6 control subjects. P value derived from nonparametric χ2 test for difference in medians.

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    Table 2.

    Hospitalization Rates by Principal Discharge Diagnosis Before and After Index Date of Intervention

    Discharge DiagnosisPrior to Index DateDuring Follow-up
    Crude Hospitalization Rate (per 100 person-years)Relative RateCrude Hospitalization Rate (per 100 person-years)Relative Rate
    Intervention (N = 146)Controls (N = 437)Intervention (N = 146)Controls (N = 437)
    Gastrointestinal diseases*2.72.21.23.66.10.6
    Infection3.42.71.32.64.90.5
    Cardiovascular diseases
        Ischemic heart disease2.73.00.91.63.30.5
        Congestive heart failure2.11.41.51.63.30.5
        Stroke1.42.10.71.01.01.0
        Other circulatory diseases4.13.01.42.62.61.0
    Degenerative musculoskeletal diagnoses†2.73.20.91.01.70.6
    Fractures and injuries0.71.40.50.52.40.2
    Neoplasm1.40.72.01.01.70.6
    Chronic obstructive pulmonary disease or respiratory failure1.41.41.00.51.90.3
    Other diagnoses‡8.25.01.64.26.80.6
    Total30.826.11.1820.335.20.58
    • * Includes International Classification of Disease, 9th Edition, Clinical Modification (ICD-9-CM) codes 520–579.

    • † Principally osteoarthroses.

    • ‡ Includes fluid/electrolyte/metabolic disorders, syncope and collapse, renal failure, dementia or delirium, ear diseases, genital prolapse, nonspecific signs or symptoms, unspecified complications of medical or surgical care (ICD-9-CM 996–999), and anemia.

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    Table 3.

    Utilization Outcomes and Mortality Following Index Date among Subjects Receiving Geriatric Intervention and Sex and Propensity-Matched Controls*

    OutcomeCrude Rate (per 100 Person-Years)Rate Ratios (95% Confidence Interval)
    Intervention (N = 146)Control (N = 437)CrudeConditional on Propensity ScoreConditional with Adjustment†
    Medical/surgical specialty visits3554250.83 (0.76, 0.91)0.93 (0.77, 1.12)0.95 (0.79, 1.15)
    Outpatient visits159016200.98 (0.94, 1.02)1.01 (0.90, 1.13)1.03 (0.92, 1.15)
    Admission to nursing home8.37.61.1 (0.6, 2.0)1.1 (0.6, 1.9)0.92 (0.48, 1.78)
    Mortality6.26.11.0 (0.5, 2.0)1.0 (0.5, 2.0)1.12 (0.52, 2.40)
    14-day prescription of high-risk medication1422670.53 (0.47, 0.61)0.73 (0.49, 1.09)0.76 (0.50, 1.14)
    • * Intervention and control were matched by a propensity score, which was derived to account for demographic, clinical, and utilization factors that predicted selection for the intervention.

    • † Adjusted for age (linear and quadratic), heart disease, and dementia and/or Parkinson’s disease.

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The Journal of the American Board of Family Medicine: 19 (4)
The Journal of the American Board of Family Medicine
Vol. 19, Issue 4
July-August 2006
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Bringing Geriatricians to the Front Lines: Evaluation of a Quality Improvement Intervention in Primary Care
Joshua J. Fenton, Martin D. Levine, Lisa D. Mahoney, Patrick J. Heagerty, Edward H. Wagner
The Journal of the American Board of Family Medicine Jul 2006, 19 (4) 331-339; DOI: 10.3122/jabfm.19.4.331

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Bringing Geriatricians to the Front Lines: Evaluation of a Quality Improvement Intervention in Primary Care
Joshua J. Fenton, Martin D. Levine, Lisa D. Mahoney, Patrick J. Heagerty, Edward H. Wagner
The Journal of the American Board of Family Medicine Jul 2006, 19 (4) 331-339; DOI: 10.3122/jabfm.19.4.331
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