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Center for Large Data Research & Data Sharing in Rehabilitation

Rehabilitation Dataset Directory: Dataset Profile

Dataset: Swing Bed Assessment-Minimum Data Set (SB-MDS)

Basic Information
Dataset full name: Swing Bed Assessment-Minimum Data Set
Dataset acronym SB-MDS
Summary Swing Beds are rural skilled nursing facilities (SNF) or Critical Access Hospitals (CAH) participating in Medicare that are approved by CMS to provide post-acute skilled nursing services. The Swing Bed-Minimum data set (SB-MDS) is a subset of the Minimum Data Set (MDS) containing patient-level assessments for those admitted to “swing beds”. The data is primarily collected using a two page assessment form and only includes items required for reimbursement purposes, ongoing analysis of swing bed utilization under the SNF-PPS (prospective payment system), and tracking patient readmissions. Primary and comorbid condition “active diagnosis” information from claims files is also included. The SB-MDS includes patient-level demographic, clinical and facility-level information.
Key Terms Assessment, Swing Bed, Skilled care, Medicare, Medicaid, RUG, Rehabilitation, Physical therapy, Splint, Occupational therapy, Prosthesis, Critical Access Care, Rural Health
Study Design Longitudinal
Data Type(s) Administrative & Clinical
Sponsoring Agency/Entity Department of Health and Human Services (HHS): Centers for Medicare and Medicaid Services (CMS)
Health conditions/Disability measures
Health condition(s) Autism, Down syndrome, Epilepsy, Diabetes Mellitus, Aphasia, Cerebral Palsy, Hemiplegia, Multiple Sclerosis, Quadriplegia, Pneumonia, Septicemia
Detailed “Active diagnosis” codes (ICD-9/10) codes from claims files
Disability Measures ADLs, Cognitive skills, Short term memory, Depression indicators, Behavioral symptoms
Measures/outcomes of interest
Topics Socio-demographic, Case mix group, Prior acute care stay, Admission, Readmission, Discharge disposition, Nutrition, Sleep, Infections, Pressure ulcer stages, Special treatment/ procedures, Occupational therapy, Physical therapy, Respiratory therapy, Speech language pathology & Audiology, Physician visits
Sample Population Adult (ages 18 or over) Medicare and Medicaid patients receiving health services in swing beds at acute hospitals and skilled nursing facilities.
Sample Size/Notes NA
Unit of Observation Individual/Patient
Geographic Coverage United States
Geographic specificity 50 States and Zip Code
Data Collection
Data Collection Mode Assessment based on review of patient records, observations of and communication with patient, licensed health professionals, direct care staff, etc.
Years Collected Swing-Bed Assessment 2.0: 2002-2010
Swing-Bed Assessment 3.0: 2010-current
Data Collection Frequency Patient assessment schedule: 5-day (admission assessment), 14-Day, 30-day, 60-day, 90-day evaluations, and clinical change assessment.
The dataset is updated quarterly.
Strengths and limitations
Strengths Large sample size, includes health service utilization and details about rehabilitation services received (type, # of days and total minutes). Includes information on ADLs, skin conditions, and clinical change assessment as well comorbid conditions from claims files. Can be linked to other CMS data.
Limitations The SB-MDS does not include vital signs and contains limited information regarding chronic conditions.
Data details
Primary Website
Data Access Swing-Bed Assessments 2.0 (2002-2010)

Swing-Bed Assessments 3.0 (2010-2012)
Data Access Requirements Data Use agreement, $ cost
Summary Tables/reports NA
Dataset components (where applicable) NA
Selected papers
Technical Record Layout
Swing Bed Minimum Data Set Assessment Training Manual
Other Papers Reiter, KL, and Freeman, VA. Trends in Skilled Nursing Facility and Swing Bed Use in Rural Areas Following the Medicare Modernization Act of 2003. Brief report. North Carolina Rural Health Research & Policy Analysis Center.
Reiter KL, Holmes GM, Broyles IH. Medicare, Swing Beds, and Critical Access Hospitals. Med Care Res Rev. 2013 Apr; 70(2):206-1.

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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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