Skip Navigation U.S. Department of Health and Human Services www.hhs.gov
Agency for Healthcare Research Quality www.ahrq.gov
Archive print banner
2003 National Healthcare Quality Report

This information is for reference purposes only. It was current when produced and may now be outdated. Archive material is no longer maintained, and some links may not work. Persons with disabilities having difficulty accessing this information should contact us at: https://info.ahrq.gov. Let us know the nature of the problem, the Web address of what you want, and your contact information.

Please go to www.ahrq.gov for current information.

Minimum Data Set (MDS)

Sponsor

U.S. Department of Health and Human Services, Centers for Medicare & Medicaid Services (CMS)

Description/Primary Content

The MDS is the core source of assessment information for the Resident Assessment Instrument (RAI). The MDS is a standardized, primary screening and assessment tool of health status; it measures physical, medical, psychological and social functioning of nursing home residents. The general categories of data and health status items in the MDS include: demographics and patient history, cognitive, communication/hearing, vision, and mood/behavior patterns, psychosocial well-being, physical functioning, continence, disease diagnoses, health conditions, medications, nutritional and dental status, skin condition, activity patterns, special treatments and procedures and discharge potential.

Demographic Data

Gender, age, marital status, race/ethnicity, current payment sources, and health status.

Population Targeted

All residents in Medicare or Medicaid certified nursing and long-term care facilities.

Mode of Administration

Completed by facility personnel, with attestation of accuracy required.

Years Collected

Nursing homes have been collecting MDS since 1990; since June 1998, states have transmitted MDS to CMS central repository.

Data Collection Schedule

Administered on admission, quarterly, annually, whenever the resident experiences a significant change in status and whenever the facility identifies a significant error in a prior assessment. Also, residents receiving Medicare SNF PPS payment require more frequent assessments (5, 14, 30, 60, 90 day).

Facilities are required to electronically transmit MDS data to the states. The state agencies have the overall responsibility for collecting MDS data in accordance with CMS specifications. The state is also responsible for preparing MDS data for retrieval by a national repository established by CMS

Geographic Estimates

National, state, facility.

Contact information

Agency homepage: http://cms.hhs.gov.

Oversight homepage: http://cms.hhs.gov/medicaid/survey-cert.

Data system homepage: http://cms.hhs.gov/medicaid/mds20.

Comments

The data for the Nursing Home Care tables were downloaded in November 2002 from the Nursing Home Compare website maintained by CMS.

For the chronic care patient measures, this data is from MDS assessments conducted in the quarter from April -June 30, 2002.

For the short stay patient measures, this data is for the six months from January 1 through June 30, 2002.

State averages are calculated as a simple average (i.e. unweighted by number of residents) of the averages of all the facilities located in the state. Similarly, the national rate is a simple average of all the states' averages. Reported rates (i) may be affected by the varying number of facilities for each measure in a state due to minimum denominator sizes (see the Table footnote), and (ii) may not reflect the true rate of incidence within a state because the simple averages can only be interpreted as an average of facility rates.

All the Nursing Home Care measures included in this report are used by CMS for their Nursing Home Quality Initiative, for which national public reporting started in November 2002.

Risk Adjustment for Measures: Three methods are used for risk adjusting the Nursing Home Care measures which use the MDS. One method is to exclude residents where the outcomes are not under facility control (e.g. the resident has a condition, such as a pressure ulcer, upon admission) or where the outcome may be unavoidable (e.g. the resident has end-stage disease or is comatose). Another method is adjustment based on resident-level covariates that have been found to increase risk for an outcome using logistic regression models. The third method is adjustment using logistic regression models based on a Facility Admission Profile (FAP), or the proportion of residents who enter the facility over the past year already with that outcome.

Return to Data Sources Appendix
Return to Contents

 

The information on this page is archived and provided for reference purposes only.

 

AHRQ Advancing Excellence in Health Care