Estimates of State-Level Health-Care Expenditures Associated with Disability

Anderson, Wayne; Armour, Brian S.; Finkelstein, Eric A.; Wiener, Joshua M.

doi:10.1177/003335491012500107

Cited by 78 publications

(42 citation statements)

References 9 publications

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“…More than half of all Americans have at least one chronic illness, 39 and approximately one fourth of people with chronic conditions have a disability that limits one or more activities of daily living. 40 We are planning future studies that examine the specific type, quantity, and frequency of mHealth interventions that are optimal within various age groups and abilities. The ultimate goal will be to develop a Bsmart[ mHealth system that provides the most effective intervention techniques to keep individuals motivated and engaged.…”

Section: Table 4 Baseline Medical Event Comparisons Between Interventmentioning

confidence: 99%

Feasibility of Using Mobile Health to Promote Self-Management in Spina Bifida

Dicianno

Fairman

McCue

et al. 2016

American Journal of Physical Medicine &Amp; Rehabilitation

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Section: Table 4 Baseline Medical Event Comparisons Between Interventmentioning

confidence: 99%

Feasibility of Using Mobile Health to Promote Self-Management in Spina Bifida

Dicianno

Fairman

McCue

et al. 2016

American Journal of Physical Medicine &Amp; Rehabilitation

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“…A recently published article cited age, medical care costs, leisure time physical activity, and smoking as factors that were most strongly associated with both physical and mental health in older adults (Thompson, Zack, Krahn, Andresen, & Barile, 2012). Furthermore, it was estimated that about 27%, or $400 billion, of all U.S. adult health care expenditures in 2006 were due to disability, inclusive of physical, mental, or emotional types (Anderson, Armour, Finkelstein, & Wiener, 2010).…”

mentioning

confidence: 99%

Body Composition, Muscle Capacity, and Physical Function in Older Adults: An Integrated Conceptual Model

Brady

Straight²,

Evans³

2014

Journal of Aging and Physical Activity

105

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The aging process leads to adverse changes in body composition (increases in fat mass and decreases in skeletal muscle mass), declines in physical function (PF), and ultimately increased risk for disability and loss of independence. Specific components of body composition or muscle capacity (strength and power) may be useful in predicting PF; however, findings have been mixed regarding the most salient predictor of PF. The development of a conceptual model potentially aids in understanding the interrelated factors contributing to PF with the factors of interest being physical activity, body composition, and muscle capacity. This article also highlights sex differences in these domains. Finally, factors known to affect PF, such as sleep, depression, fatigue, and self-efficacy, are discussed. Development of a comprehensive conceptual model is needed to better characterize the most salient factors contributing to PF and to subsequently inform the development of interventions to reduce physical disability in older adults.

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“…16 The aged and disabled segment of the Medicaid population accounted for two thirds (68.7%) of all Medicaid spending in 2006. 17 According to the Kaiser Commission on Medicaid and the Uninsured, the disabled accounted for three fourths (76%) of the $10.4 billion growth in US Medicaid expenditures from 2005-2006 (after adjustment for the shift to Medicare Part D drug spending for dual-eligibles). 18 There is tremendous variability in Medicaid expenditures from state to state, with corresponding state-to-state variability in expenditure trends from year to year.…”

Section: Discussionmentioning

confidence: 99%

Economic Impact of a Medicaid Population Health Management Program

Rust

Strothers

Miller

et al. 2011

Population Health Management

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A population health management program was implemented to assess growth in health care expenditures for the disabled segment of Georgia's Medicaid population before and during the first year of a population health outcomes management program, and to compare those expenditures with projected costs based on various cost inflation trend assumptions. A retrospective, nonexperimental approach was used to analyze claims data from Georgia Medicaid claims files for all program-eligible persons for each relevant time period (intent-to-treat basis). These included all non-Medicare, noninstitutionalized Medicaid aged-blind-disabled adults older than 18 years of age. Comparisons of health care expenditures and utilization were made between base year (2003)(2004) and performance year one (2006)(2007), and of the difference between actual expenditures incurred in the performance year vs. projected expenditures based on various cost inflation assumptions. Demographic characteristics and clinical complexity of the population (as measured by the Chronic Illness and Disability Payment System risk score) actually increased from baseline to implementation. Actual expenditures were less than projected expenditures using any relevant medical inflation assumption. Actual expenditures were less than projected expenditures by $9.82 million when using a conservative US general medical inflation rate, by $43.6 million using national Medicaid cost trends, and by $106 million using Georgia Medicaid's own cost projections for the non-dually eligible disabled segment of Medicaid enrollees. Quadratic growth curve modeling also demonstrated a lower rate of increase in total expenditures. The rate of increase in expenditures was lower over the first year of program implementation compared with baseline. Weighted utilization rates were also lower in high-cost categories, such as inpatient days, despite increases in the risk profile of the population. Varying levels of cost avoidance could be inferred from differences between actual and projected expenditures using each of the health-related inflation assumptions. (Population Health Management 2011;14:215-222)

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Estimates of State-Level Health-Care Expenditures Associated with Disability

Cited by 78 publications

References 9 publications

Feasibility of Using Mobile Health to Promote Self-Management in Spina Bifida

Feasibility of Using Mobile Health to Promote Self-Management in Spina Bifida

Body Composition, Muscle Capacity, and Physical Function in Older Adults: An Integrated Conceptual Model

Economic Impact of a Medicaid Population Health Management Program

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