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: Consumer Assessment of Healthcare Providers and Systems (CAHPS) - Adult Hospital Survey (Adult HCAHPS)
|Dataset Full Name||Consumer Assessment of Healthcare Providers and Systems (CAHPS) - Adult Hospital Survey|
|Dataset Acronym||Adult HCAHPS|
The Adult HCAHPS survey asks people aged 18 and over to report their recent experience of inpatient care. The purpose of the HCAHPS is to provide patient feedback that can be used for institutional quality projects and rating the quality of inpatient facilities. It includes 10 measures of patient experience including 6 composite measures, two individual items and two global ratings.
Information from HCAHPS is also aggregated for star ratings in Medicare's Hospital Compare database.
The Centers for Medicare & Medicaid Services (CMS) is responsible for implementing the study and it is used in both quality reporting and value-based purchasing decisions.
Inpatient, Acute, Hospitalization, Patient-Centered Outcomes, CMS, Value-Based Purchasing, Quality of Care Outcomes, Survey, Adult, Hospital, Patient Reported, AHRQ, Outcomes
Department of Health and Human Services (HHS):
Agency for Healthcare Research and Quality (AHRQ):
Center for Quality Improvement and Patient Safety (CQuIPS)
|Health Conditions/Disability Measures|
|Measures/Outcomes of Interest|
Patient perception of the following measures: Nurse Communication, Physician Communication, Receiving help, Pain control, Medication Education, Room and Bathroom Cleanliness, Quiet Room at Night, Discharge Information, Care Transition, Global Rating of Hospital.
Random sample of discharged patients 18 years or older, with at least one overnight stay as inpatient in a hospital with a non-psychiatric Medicare Severity-Diagnosis Related Group (MS-DRG).
As of 2017 there were over 4,100 participating hospitals.
Goal of at 300 completed surveys per year per hospital.
Sampling Guidelines and Protocols Document:
|Unit of Observation||
Individual/Patient surveys aggregated at the hospital level
|Data Collection Mode||
January 2008 - present
|Data Collection Frequency||
|Strengths and Limitations|
|Data Access Requirements||
Public Use Dataset
National & State level averages:
Hospital level (see "Survey of patients' experiences" tab):
Data available at a variety of geographic levels & hospital "types":
|Similar/Related Dataset(s)||Selected Papers|
HCAHPS Publications by the HCAHPS Project Team
Ask Our Researchers
Have a question about disability data or datasets?
E-mail your question to our researchers at firstname.lastname@example.org
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 email@example.com