FIND Disability Statistics
American Community Survey (ACS)
- Employment Rate
- Not Working but Actively Looking for Work
- Full-Time / Full-Year Employment
- Annual Earnings
- Annual Household Income
- Supplemental Security Income (SSI)
- Educational Attainment
- Veterans Service-Connected Disability
- Health Insurance Coverage (and Type)
Current Population Survey (CPS)
EEOC Charge Data
Rehabilitation Dataset Directory: Dataset Profile
Dataset: Home Health Compare (HHC)
|Dataset Full Name||Home Health Compare|
|Summary||The Home Health Compare (HHC) database contains home health agency level data. 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). Data are collected from summarized patient assessments and Medicare claims.
Note that no patient level data is available. All data is aggregated at the national, state and individual Health Care agency levels.
|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.|
|Sponsoring Agency/Entity||Centers for Medicare & Medicaid Services (CMS); Department of Health and Human Services (HHS)||Health Conditions/Disability Measures|
|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, Acute care hospitalizations, Emergency department use without hospitalization, Emergency department use without hospital readmission during the first 30 days of home health
|Sample Population||All Medicare-certified home health care agencies nationally.|
|Sample Size/Notes||12,058 (January 2017) 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|
|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)
|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.
Current period data:
|Data Access Requirements||Public Use Dataset|
|Summary Tables/Reports||National and State averages for HHC data:
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:
Agency Characteristics and Changes in Home Health Quality After Home Health Compare:
Risk adjustment of outcome measures:
Ask Our Researchers
Have a question about disability data or datasets?
E-mail your question to our researchers at email@example.com
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)
- Data Sharing & Archiving at CLDR
- Pilot Project Program
- Visiting Scholars Program
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 firstname.lastname@example.org