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Rehabilitation Dataset Directory: Dataset Profile
Dataset: Home Health Compare (HHC)
Basic Information | |
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Dataset Full Name | Home Health Compare |
Dataset Acronym | HHC |
Summary | The Home Health Compare (HHC) database contains home health agency level data. Data are collected from summarized patient assessments and Medicare claims. It is designed to allow patients and their caregivers the ability to compare home health agencies on outcome measures and process of care measures. The Home Health Compare datasets include a subset of Outcome and Assessment Information Set (OASIS) based quality performance measures collected by the Centers for Medicare and Medicaid Services (CMS). It includes both process of care and outcome of care measures:
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Key Terms | Home Health Agency Performance, Quality of Patient Care, OASIS, Health Care Utilization, Home Health Consumer Assessment of Healthcare Providers and Systems (HHCAHPS), Patient satisfaction with home health care, home health care, national outcomes, state outcomes. |
Study Design | Longitudinal |
Data Type(s) |
Administrative |
Sponsoring Agency/Entity | Centers for Medicare & Medicaid Services (CMS); Department of Health and Human Services (HHS) | Health Conditions/Disability Measures |
Health Condition(s) | NA |
Disability Measures | NA | Measures/Outcomes of Interest |
Topics | State and regional variations in home health care quality, use of recommended processes, improvement in outcome measures Health Services Utilization, Hospitalization rates, Quality of Home Health Care, Patient Satisfaction and Experience with Care, Patient-Provider Communication Process Measures: Timely initiation of care, Influenza immunization received for current flu season, Pneumococcal polysaccharide vaccine ever received, Diabetic foot care and patient education implemented, Depression assessment conducted, Drug education on all medications provided to patient/caregiver, Multifactor fall risk assessment conducted for all patients who can ambulate. Outcome Measures: Improvement in ambulation, Improvement in bed transfer, Improvement in pain interfering with activity, Improvement in bathing, Improvement in management of oral medications, Improvement in dyspnea, Improvement in status of surgical wounds, Improvement in breathing, Improvement in pressure ulcers, Acute care hospitalizations, Emergency department use without hospitalization, Emergency department use without hospital readmission during the first 30 days of home health |
Sample |
Sample Population | All Medicare-certified home health care agencies nationally. |
Sample Size/Notes | 11,181 (January 2020) All Medicare certified home health agencies Number of agencies varies by year Aggregated rates from the HHCAHPS patient survey are calculated from a randomly selected sample of patients for each agency. |
Unit of Observation | Service Provider |
Continent(s) | North America |
Countries | United States |
Geographic Coverage | National |
Geographic Specificity | Individual Home Health Care agencies | Data Collection |
Data Collection Mode | Administrative claims data Mail, phone or mixed mode interview Assessment based on review of patient records and observation (subset of OASIS) |
Years Collected | 2003-present |
Data Collection Frequency | Quarterly | Strengths and Limitations |
Strengths | Data include all Medicare-certified HHAs and are ideal for doing research on regional variation and services utilization. Data can be linked with other CMS datasets. Rates calculated from OASIS data are risk-adjusted to make comparisons between health agencies possible. Comparisons can be made on national/state/facility level for different time periods. |
Limitations | Patient-level data not available. Several quality measures have been revised over time and may not be comparable across all time periods. Outcome of care and utilization measures are risk-adjusted, however bias could still be introduced from other unadjusted characteristics of the patients or the agencies, e.g. an agency only accepting patients who have a better prognosis for specific conditions. Data limited to Medicare beneficiaries and Medicare certified agencies only, not necessarily representative of all home health patients and providers. |
Data Details |
Primary Website | https://www.medicare.gov/homehealthcompare/search.html |
Data Access |
Current period data: https://data.medicare.gov/data/home-health-compare Archived data: https://data.medicare.gov/data/archives/home-health-compare |
Data Access Requirements | Public Use Dataset |
Summary Tables/Reports | National and State averages for HHC data: https://data.medicare.gov/data/home-health-compare |
Data Components | Data files available as Microsoft Access files or csv FlatFiles.
1. HHC_SOCRATA_PRVDR.csv: Home health agency information including: the type of patient services offered, the values of the star rating and patient outcome and process quality measures. |
Similar/Related Dataset(s) | Selected Papers |
Other Papers | Home Health Compare web site offers critical information to consumers, professionals: https://www.ncbi.nlm.nih.gov/pubmed/15192503 Agency Characteristics and Changes in Home Health Quality After Home Health Compare: https://www.ncbi.nlm.nih.gov/pubmed/20231725 |
Technical | Statistical methods: https://www.medicare.gov/HomeHealthCompare/Data/Statistical-Methods.html Risk adjustment of outcome measures: https://www.medicare.gov/HomeHealthCompare/Data/Risk-Adjustment.html Rate calculations: https://www.medicare.gov/HomeHealthCompare/Data/Rate-Calculation.html |
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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).
Other CLDR supported resources and collaborative opportunities:
- Archive of Data on Disability to Enable Policy and research (ADDEP)
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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.
For questions or comments please contact disabilitystatistics@cornell.edu