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Rehabilitation Dataset Directory: Dataset Profile

Dataset: Long-term Care Hospital Compare (LTCH)

Basic Information
Dataset Full Name Long-term Care Hospital Compare
Dataset Acronym LTCH
Summary

The Long-term Care Hospital (LTCH) Compare includes information on approximately 400 hospitals across the nation and provides a snapshot of the quality of care in each hospital. It contains data on long-term care hospitals based on important indicators of healthcare quality, such as the proportion of patients health care acquired conditions, falls, pressure ulcers and unplanned re-admission rates. 


Note that patient level data are not available. All data are aggregated at the national, state and specific Long-term Care (LTC) Hospital level.
Key Terms

Long term care, Hospitals, Quality of care
Study Design Longitudinal
Data Type(s) Administrative
Sponsoring Agency/Entity

Center for Medicare and Medicaid Services (CMS),

Department of Health and Human Services (HHS)
Health Conditions/Disability Measures
Health Condition(s)

Pressure ulcers, Catheter associated urinary tract infections, Central Line-Associated Bloodstream Infection (CLABSI)
Disability Measures

NA
Measures/Outcomes of Interest
Topics

Health complications (Healthcare-acquired conditions: falls & pressure ulcers) Effective care, Healthcare associated infections, Prevention (resident & healthcare worker flu vaccination coverage), Unplanned readmissions,  Successful return to home/community, Payment & value of care, % patients with ADL assessment
Sample
Sample Population

Long Term Care hospitals
Sample Size/Notes

Approximately 400 LTC hospitals
Unit of Observation

Hospital/facility
Continent(s)

North America
Countries

United States
Geographic Coverage

National
Geographic Specificity

Individual Long Term Hospital facility
Data Collection
Data Collection Mode

Hospital Administrative data
Years Collected

2016 - current
Data Collection Frequency

Annual
Strengths and Limitations
Strengths

Includes all Medicare funded LTC hospitals. Allows comparisons between facilities and relative to national averages.
Limitations

Limited data collected, some measures change or have been dropped over time

Only includes hospital/facility level data
Data Details
Primary Website

https://www.medicare.gov/longtermcarehospitalcompare/
Data Access

https://data.medicare.gov/data/long-term-care-hospital-compare
Data Access Requirements

Public Use Dataset
Summary Tables/Reports

View data tables:

https://data.medicare.gov/Long-Term-Care-Hospital-Compare/Long-Term-Care-Hospital-General-Information/azum-44iv/data


Data visualization:

https://data.medicare.gov/d/azum-44iv/visualization
Data Components

General Information.csv

A list of long-term care hospitals with information such as address, phone number, ownership data etc.

National data.csv:

National data on the quality of patient care measures shown on Long-Term Care Hospital Compare.

Provider data.csv:

A list of long-term care hospitals with data on the quality of patient care measures
Similar/Related Dataset(s)

Home Health Compare

Nursing Home Compare

Inpatient Rehabilitation Facility Compare
Selected Papers
Other Papers
Technical

Database Dictionary:

https://data.medicare.gov/views/bg9k-emty/files/07e5f921-11ea-4140-b320-5a5df93f87de?filename=LTCH%20Data%20Dictionary%203.1%20March%202019%2020190124.pdf&content_type=


LTCH Quality Public Reporting:

https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/LTCH-Quality-Reporting/LTCH-Quality-Public-Reporting

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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:

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



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