53 research outputs found

    Multimorbidity: constellations of conditions across subgroups of midlife and older individuals, and related Medicare expenditures

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    Introduction: The Department of Health and Human Services’ 2010 Strategic Framework on Multiple Chronic Conditions called for the identification of common constellations of conditions in older adults. Objectives: To analyze patterns of conditions constituting multimorbidity (CCMM) and expenditures in a US representative sample of midlife and older adults (50–64 and ≥65 years of age, respectively). Design: A cross-sectional study of the 2010 Health and Retirement Study (HRS; n=17,912). The following measures were used: (1) count and combinations of CCMM, including (i) chronic conditions (hypertension, arthritis, heart disease, lung disease, stroke, diabetes, cancer, and psychiatric conditions), (ii) functional limitations (upper body limitations, lower body limitations, strength limitations, limitations in activities of daily living, and limitations in instrumental activities of daily living), and (iii) geriatric syndromes (cognitive impairment, depressive symptoms, incontinence, visual impairment, hearing impairment, severe pain, and dizziness); and (2) annualized 2011 Medicare expenditures for HRS participants who were Medicare fee-for-service beneficiaries (n=5,677). Medicaid beneficiaries were also identified based on their self-reported insurance status. Results: No large representations of participants within specific CCMM categories were observed; however, functional limitations and geriatric syndromes were prominently present with higher CCMM counts. Among fee-for-service Medicare beneficiaries aged 50–64 years, 26.7% of the participants presented with ≥10 CCMM, but incurred 48% of the expenditure. In those aged ≥65 years, these percentages were 16.9% and 34.4%, respectively. Conclusion: Functional limitations and geriatric syndromes considerably add to the MM burden in midlife and older adults. This burden is much higher than previously reported

    The Influence of Multimorbidity on Leading Causes of Death in Older Adults With Cognitive Impairment

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    Objective: The aim of this study is to evaluate the relationship of leading causes of death with gradients of cognitive impairment and multimorbidity. Method: This is a population-based study using data from the linked 1992- 2010 Health and Retirement Study and National Death Index (n = 9,691). Multimorbidity is defined as a combination of chronic conditions, functional limitations, and geriatric syndromes. Regression trees and Random Forest identified which combinations of multimorbidity associated with causes of death. Results: Multimorbidity is common in the study population. Heart disease is the leading cause in all groups, but with a larger percentage of deaths in the mild and moderate/severe cognitively impaired groups than among the noncognitively impaired. The different “paths” down the regression trees show that the distribution of causes of death changes with different combinations of multimorbidity. Discussion: Understanding the considerable heterogeneity in chronic conditions, functional limitations, geriatric syndromes, and causes of death among people with cognitive impairment can target care management and resource allocation

    Complex multimorbidity and health outcomes in older adult cancer survivors

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    Objective: To characterize complex multimorbidity among cancer survivors and evaluate the association between cancer survivorship, time since cancer diagnosis, and self-reported fair/poor health, self-rated worse health in 2 years, and 2-year mortality. Methods: We used the 2010–2012 Health and Retirement Study. Cancer survivors were individuals who reported a (nonskin) cancer diagnosis 2 years or more before the interview. We defined complex multimorbidity as the co-occurrence of chronic conditions, functional limitations, and/or geriatric syndromes. In addition to descriptive analyses, we used logistic regression to evaluate the independent association between cancer survivor status and health outcomes. We also examined whether cancer survivorship differed by the number of years since diagnosis. Results: Among 15,808 older adults (age ≥50 years), 11.8% were cancer survivors. Compared with cancer-free individuals, a greater percentage of cancer survivors had complex multimorbidity: co-occurring chronic conditions, functional limitations, and geriatric syndromes. Cancer survivorship was significantly associated with self-reported fair/poor health, self-rated worse health in 2 years, and 2-year mortality. These effects declined with the number of years since diagnosis for fair/ poor health and mortality but not for self-rated worse health. Conclusion: Cancer survivor status is independently associated with more complex multimorbidity, and with worse health outcomes. These effects attenuate with time, except for patient perception of being in worse health

    Functional Status in Older Women Diagnosed with Pelvic Organ Prolapse

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    Background—Functional status plays an important role in the comprehensive characterization of older adults. Functional limitations are associated with an increased risk of adverse treatment outcomes, but there is limited data on the prevalence of functional limitations in older women with pelvic floor disorders. Objective—The aim of the study was to describe the prevalence of functional limitations based on health status in older women with pelvic organ prolapse. Study Design—This pooled, cross-sectional study utilized data from the linked Health and Retirement Study and Medicare files between 1992 and 2008. The analysis included 890 women ≥65 years with pelvic organ prolapse. We assessed self-reported functional status, categorized in strength, upper and lower body mobility, activities of daily living, and instrumental activities of daily living domains. Functional limitations were evaluated and stratified by respondents self-reported general health status. Descriptive statistics were used to compare categorical and continuous variables, and logistic regression was used to measure differences in the odds of functional limitation by increasing age. Results—The prevalence of functional limitations was 76.2% in strength, 44.9% in upper and 65.8% in lower body mobility, 4.5% in activities of daily living and 13.6% in instrumental activities of daily living. Limitations were more prevalent in women with poor or fair health status than in women with good health status, including 91.5% vs 69.9% in strength, 72.9% vs 33.5% in upper and 88.0% vs 56.8% in lower body mobility, 11.6% vs 0.9% in activities of daily living, and 30.6% vs 6.7% in instrumental activities of daily living, all p Conclusion—Functional limitations, especially in strength and body mobility domains, are highly prevalent in older women with pelvic organ prolapse, particularly in those with poor or fair self-reported health status. Future research is necessary to evaluate if functional status affects clinical outcomes in pelvic reconstructive and gynecologic surgery and whether it should be routinely assessed in clinical decision-making when treating older women with pelvic organ prolapse

    Functional Status in Older Women Diagnosed with Pelvic Organ Prolapse

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    Background—Functional status plays an important role in the comprehensive characterization of older adults. Functional limitations are associated with an increased risk of adverse treatment outcomes, but there is limited data on the prevalence of functional limitations in older women with pelvic floor disorders. Objective—The aim of the study was to describe the prevalence of functional limitations based on health status in older women with pelvic organ prolapse. Study Design—This pooled, cross-sectional study utilized data from the linked Health and Retirement Study and Medicare files between 1992 and 2008. The analysis included 890 women ≥65 years with pelvic organ prolapse. We assessed self-reported functional status, categorized in strength, upper and lower body mobility, activities of daily living, and instrumental activities of daily living domains. Functional limitations were evaluated and stratified by respondents self-reported general health status. Descriptive statistics were used to compare categorical and continuous variables, and logistic regression was used to measure differences in the odds of functional limitation by increasing age. Results—The prevalence of functional limitations was 76.2% in strength, 44.9% in upper and 65.8% in lower body mobility, 4.5% in activities of daily living and 13.6% in instrumental activities of daily living. Limitations were more prevalent in women with poor or fair health status than in women with good health status, including 91.5% vs 69.9% in strength, 72.9% vs 33.5% in upper and 88.0% vs 56.8% in lower body mobility, 11.6% vs 0.9% in activities of daily living, and 30.6% vs 6.7% in instrumental activities of daily living, all p Conclusion—Functional limitations, especially in strength and body mobility domains, are highly prevalent in older women with pelvic organ prolapse, particularly in those with poor or fair self-reported health status. Future research is necessary to evaluate if functional status affects clinical outcomes in pelvic reconstructive and gynecologic surgery and whether it should be routinely assessed in clinical decision-making when treating older women with pelvic organ prolapse

    Managed Care Discounting: Evidence from the MarketScan Database

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    The paper examines price discounting by health maintenance organizations (HMOs) and preferred provider organizations (PPOs) in markets for hospital services. Our empirical analysis focuses on transaction prices for angioplasty, which is a relatively common procedure with well-defined “product” characteristics. After controlling for patient and procedure heterogeneity and market power, we find that on average angioplasty prices are 8% lower for PPOs than for fee-for-service plans, followed by point-of-service HMOs, which capture a 24% discount. Our results are in general agreement with earlier work by Cutler, McClellan, and Newhouse (2000), who show that managed care discounts are “real,” after accounting for case severity and process of care
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