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Center for Large Data Research & Data Sharing in Rehabilitation

Rehabilitation Dataset Directory: Dataset Profile


Dataset: Medicare Health Outcomes Survey_Modifed (MHOS_M)

Basic Information
Dataset full name: Medicare Health Outcomes Survey_Modifed
Dataset acronym MHOS_M
Summary A modified version of the Medicare HOS-M is a cross-sectional survey of a nationally-representative sample of the beneficiaries enrolled under the Medicare Advantage plan or Medicare managed care (HMO) plan. This survey is administered to vulnerable Medicare beneficiaries with the greatest risk of poor health outcomes. The main goal of the HOS-M is to assess the frailty of the population in these health plans in order to adjust reimbursement rates for this population. These beneficiaries are enrolled in the Program of All-Inclusive Care for the Elderly (PACE). It determines physical and mental health at one single time point without any follow up component. The Medicare HOS-M contains two core components: the Veterans RAND 12 Item Health Survey (12 physical and mental health status questions), and Activity of Daily Living (ADL) items (6 items to compute frailty adjustment factor). In addition there are items related to physical activity levels, functional status, memory loss, and urinary incontinence. The survey has the option of completing responses using self-reporting or proxy reporting.
Key Terms Medicare Advantage Plan, Quality Improvement, Pay-for-Performance, Physical Health, Mental Health
Study Design Cross-sectional
Data Type(s) Survey
Sponsoring Agency/Entity Department of Health and Human Services (HHS): Centers for Medicare and Medicaid Services (CMS)
Health conditions/Disability measures
Health condition(s) Any/All
Disability Measures Any/All
Measures/outcomes of interest
Topics Physical Health, Mental Health, Physical Activity, Activities of Daily Living, Functional status
Sample
Sample Population Medicare advantage plan (HMO) beneficiaries
Sample Size/Notes 2007: 16,200 2008: 16,360 2009:17,396
Unit of Observation Individual
Geographic Coverage National
Geographic specificity NA
Data Collection
Data Collection Mode Survey
Years Collected 2007-2009
Data Collection Frequency Annual
Strengths and limitations
Strengths Data set employs a combination strategy of data collection (administrative and survey). Adequate and appropriate data documentation available. Oversampling of vulnerable population enrolled under Medicare advantage plan.
Limitations Data collection is limited to only those individuals enrolled under Medicare advantage plan (HMO plan) thus excluding all enrollees on Medicare fee-for-service plan. Cross-sectional nature of data collection limits ability to follow individuals over time. Survey does not collect socio-demographic variables
Data details
Primary Website http://www.hosonline.org/Content/ModifiedOverview.aspx
Data Access http://www.hosonline.org/Content/DataFiles.aspx
Data Access Requirements Public Use Dataset: Public Use File (PUF)
Data Use agreement, No cost: Limited Data Set (LDS) files, Research Identifiable File (RIF)
Summary Tables/reports http://www.hosonline.org/surveys/hos/download/HOS_SamplePMR_C10.pdf
Dataset components (where applicable) Public Use File (PUF)
Limited Data Set (LDS)
Research Identifiable File (RIF)
Selected papers
Technical HOS User Guide "Real World" Uses of HOS Data
Other Papers



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The Rehabilitation Research Cross-dataset Variable Catalog has been developed through the Center for Large Data Research & Data Sharing in Rehabilitation (CLDR). The Center for Large Data Research and Data Sharing in Rehabilitation involves a consortium of investigators from the University of Texas Medical Branch, Cornell University's Yang Tan Institute (YTI), and the University of Michigan. The CLDR is funded by NIH - National Institute of Child Health and Human Development, through the National Center for Medical Rehabilitation Research, the National Institute for Neurological Disorders and Stroke, and the National Institute of Biomedical Imaging and Bioengineering. (P2CHD065702).

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Acknowledgements: This tool was developed through the efforts of William Erickson and Arun Karpur, and web designers Jason Criss and Jeff Trondsen at Cornell University. Many thanks to graduate students Kyoung Jo Oh and Yeong Joon Yoon who developed much of the content used in this tool.

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