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    Date Issued2012 (2)2004 (1)Author
    Bayliss, Elizabeth A. (3)
    Ware, John E. Jr. (2)Adams, Karen (1)Bayliss, Martha S. (1)Blumenthal, David (1)View MoreUMass Chan AffiliationDepartment of Quantitative Health Sciences (2)Department of Medicine, Division of Rheumatology (1)Meyers Primary Care Institute (1)Document TypeJournal Article (3)KeywordHealth Services Research (3)*Comorbidity (2)Activities of Daily Living (2)Aged (2)Biostatistics (2)View MoreJournalHealth and quality of life outcomes (1)Journal of the American Geriatrics Society (1)Pharmacoepidemiology and drug safety (1)

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    Universal health outcome measures for older persons with multiple chronic conditions

    Adams, Karen; Bayliss, Elizabeth A.; Blumenthal, David; Boyd, Cynthia; Guralnik, Jack M.; Krist, Alexander H.; LaCroix, Andrea Z.; Patrick, Donald L.; Naylor, Mary D.; Reuben, David; et al. (2012-11-29)
    Older adults with multiple chronic conditions (MCCs) require considerable health services and complex care. Because the persistence and progression of diseases and courses of treatments affect health status in multiple dimensions, well-validated universal outcome measures across diseases are needed for research, clinical care, and administrative purposes. An expert panel meeting held by the National Institute on Aging in September 2011 recommends that older persons with MCCs complete a brief initial composite measure that includes general health; pain; fatigue; and physical health, mental health, and social role function, along with gait speed measurement. Suitable composite measures include the Medical Outcomes Study 8 (SF-8) and 36 (SF-36) -item Short-Form Survey and the Patient Reported Outcomes Measurement Information System 29-item Health Profile. Based on responses to items in the initial measure, short follow-on measures should be selectively targeted to symptom burden, depression, anxiety, and daily activities. Persons unable to walk a short distance to assess gait speed should be assessed using a physical function scale. Remaining gaps to be considered for measure development include disease burden, cognitive function, and caregiver burden. Routine outcome assessment of individuals with MCCs could facilitate system-based care improvement and clinical effectiveness research. Geriatrics Society. Conditions
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    Comparative safety of infliximab and etanercept on the risk of serious infections: does the association vary by patient characteristics

    Toh, Sengwee; Li, Lingling; Harrold, Leslie R.; Bayliss, Elizabeth A.; Curtis, Jeffrey R.; Liu, Liyan; Chen, Lang; Grijalva, Carlos G.; Herrinton, Lisa J. (2012-05-01)
    PURPOSE: Infliximab, a chimeric monoclonal anti-TNFalpha antibody, has been found to increase the risk of serious infections compared with the TNF receptor fusion protein etanercept in some studies. It is unclear whether the risk varies by patient characteristics. We conducted a study to address this question. METHODS: We identified members of Kaiser Permanente Northern California who initiated infliximab (n = 793) or etanercept (n = 2692) in 1997-2007. Using a Cox model, we estimated the propensity-score-adjusted hazard ratio (HR) and 95% confidence interval (CI) of serious infections requiring hospitalization or opportunistic infections comparing infliximab initiators to etanercept initiators. We tested whether the adjusted HR differed by age, sex, race/ethnicity, body mass index, and smoking status. RESULTS: The crude incidence rate of serious infections per 100 person-years was 5.4 (95%CI: 3.8, 7.5) in patients (95%CI: 10.4, 23.4) in patients >/= 65 years during the first 3 months following treatment initiation. Compared with etanercept, the adjusted HR during this period was elevated for infliximab in patients (HR: 3.01; 95%CI: 1.49, 6.07), but not in those >/= 65 years (HR 0.94; 95%CI: 0.41, 2.13). Findings did not suggest that the HR varied by the other patient characteristics examined. CONCLUSIONS: An increased risk of serious infections associated with infliximab relative to etanercept did not appear to be modified by patients' sex, race/ethnicity, body mass index, or smoking status. There was an indication that the increased risk might be limited to patients finding.
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    Predicting declines in physical function in persons with multiple chronic medical conditions: what we can learn from the medical problem list

    Bayliss, Elizabeth A.; Bayliss, Martha S.; Ware, John E. Jr.; Steiner, John F. (2004-09-09)
    BACKGROUND: Primary care physicians are caring for increasing numbers of persons with comorbid chronic illness. Longitudinal information on health outcomes associated with specific chronic conditions may be particularly relevant in caring for these populations. Our objective was to assess the effect of certain comorbid conditions on physical well being over time in a population of persons with chronic medical conditions; and to compare these effects to that of hypertension alone. METHODS: We conducted a secondary analysis of 4-year longitudinal data from the Medical Outcomes Study. A heterogeneous population of 1574 patients with either hypertension alone (referent) or one or more of the following conditions: diabetes, coronary artery disease, congestive heart failure, respiratory illness, musculoskeletal conditions and/or depression were recruited from primary and specialty (endocrinology, cardiology or mental health) practices within HMO and fee-for-service settings in three U.S. cities. We measured categorical change (worse vs. same/better) in the SF-36(R) Health Survey physical component summary score (PCS) over 4 years. We used logistic regression analysis to determine significant differences in longitudinal change in PCS between patients with hypertension alone and those with other comorbid conditions and linear regression analysis to assess the contribution of the explanatory variables. RESULTS: Specific diagnoses of CHF, diabetes and/or chronic respiratory disease; or 4 or more chronic conditions, were predictive of a clinically significant decline in PCS. CONCLUSIONS: Clinical recognition of these specific chronic conditions or 4 or more of a list of chronic conditions may provide an opportunity for proactive clinical decision making to maximize physical functioning in these populations.
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