Archive of Data on Disability to Enable Policy and research (ADDEP)Īcknowledgements: This tool was developed through the efforts of William Erickson and Arun Karpur, and web designers Jason Criss and Jeff Trondsen at Cornell University.Other CLDR supported resources and collaborative opportunities: 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. 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. Have a question about disability data or datasets?Į-mail your question to our researchers at Rehabilitation Research Cross-dataset Variable Catalog has been developed through the Center for Large Data Research & Data Sharing in Rehabilitation (CLDR). Nursing Home Compare Quality Measure Technical Specification Quality measures technical information page: Use of Nursing Home Compare Website Appears Limited by Lack of Awareness and Initial Mistrust of the Data:ĭesign for Nursing Home Compare Five-Star Quality Rating System: Technical Users’ Guide January 2017: Nursing home quality: a comparative analysis using CMS Nursing Home Compare data to examine differences between rural and non-rural facilities.: Inpatient Rehabilitation Facility Compare In 20 several changes made to the quality measure (QM) domain of the Five Star Nursing Home Quality Rating System including five new measures and methodological changes which may raise issues when comparing across years of data.ĭata available as Microsoft access database or csv files Potential bias could be introduced in staffing data and MDS quality outcomes since they are self-reported by nursing homes. Patient-level data not available, only summaries at the nursing home level. Risk-adjusted composite measures for quality outcomes allow for meaningful comparisons.Ĭomparisons can be made on national/state/facility level for different time periods. Observational assessment and medical records review of patients (MDS data)ĭata includes all Medicare and Medicaid-certified nursing homes and are ideal for doing research on regional and state variation on quality outcomes.ĭata can be linked with other CMS datasets. Inspection reports / observational assessment Number of Nursing homes varies year to year Hospitals and health care facilities/providers, All Medicare and Medicaid-certified nursing homesġ5,652 (January 2017) Medicare and Medicaid participating nursing homes included Health and fire inspection deficiencies at nursing homes, staffing numbers per resident and association with quality care, short and long stay outcomes. Long-stay residents measures: Proportion reporting: Falls, urinary tract infections, moderate to severe pain, pressure ulcers, functional status independence/improvement, weight loss, need for help with daily activities increased, depressive symptoms Short-stay resident measures: Proportion with: Functional status, hospital readmissions, emergency room visits, discharge to community, new or worsened pressure ulcers. Longitudinal assessment of nursing homes’ improvement in quality outcomes State and regional variations in nursing home quality outcomes. Skilled Nursing care, swing beds, nursing home quality of care, nursing home staffing information, regulatory compliance, long-stay quality outcomes, short-stay quality outcomes, MDS datasetĬenters for Medicare & Medicaid Services (CMS), Department of Health and Human Services (HHS) All data is aggregated at the national, state and individual Nursing Home level. Note that no patient level data is available. The Nursing Home Compare uses a “five star rating” system, which is a composite measure derived from health inspection findings of these facilities, staffing (e.g., availability of nursing staff per resident per day), and quality measures (e.g., falls, pain, functional status, hospital readmissions). This ongoing data collection aims to assist consumers (including patients) in selecting nursing homes by evaluating outcomes and deficiencies. The Centers for Medicare and Medicaid Services (CMS) launched a quality rating system for Medicare and Medicaid certified nursing homes (skilled nursing and long-term care facilities) on December 2008. Rehabilitation Dataset Directory: Dataset Profile Dataset: Nursing Home Compare () Basic Information Rehabilitation Dataset Directory: Search /
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