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Rehabilitation Dataset Directory: Dataset Profile

Dataset: Medicare-Medicaid Linked Enrollee Analytic Data Source (MMLEADS)

Basic Information
Dataset full name: Medicare-Medicaid Linked Enrollee Analytic Data Source
Dataset acronym MMLEADS
Summary The Medicare-Medicaid Linked Enrollee Analytic Data Source (MMLEADS) is a relatively new (2012) comprehensive dataset for researchers investigating health services utilization patterns and associated outcomes for dual enrollees, especially individuals with disabilities. It is developed by the Centers for Medicare and Medicaid Services (CMS) and contains person-level information for Medicare and/or Medicaid beneficiaries (duel enrollees). MMLEADS offers files at two levels: individual-level, extracted from Medicare and Medicaid beneficiary-level files and service-level, extracted from Medicare and Medicaid service-level files. It includes 27 individual-level chronic and clinical conditions as defined by the Chronic Condition Warehouse (CCW) including: cardiovascular conditions, Cancer, musculoskeletal disorders, pulmonary conditions, metabolic syndrome, and mental health disorders.
Key Terms Eligibility of benefits, Enrollment status, Health services utilization, Cost, Physical conditions, Mental conditions, Chronic and clinical conditions
Study Design Longitudinal
Data Type(s) Administrative
Sponsoring Agency/Entity Department of Health and Human Services (HHS): Centers for Medicare and Medicaid Services (CMS)
Health conditions/Disability measures
Health condition(s) Alzheimer’s, Autism spectrum disorders, Cerebral Palsy, Cystic fibrosis and other metabolic developmental disorders, Diabetes, Epilepsy, Intellectual disabilities and related conditions, Learning disabilities, Multiple sclerosis muscular dystrophy, Other developmental delays, Spina bifida/other congenital anomalies of the nervous system, Spinal Cord Injury (SCI), Traumatic Brain Injury (TBI)
Mental Health: Anxiety disorders, Conduct disorders and hyperkinetic syndrome (ADD/ADHD), Bipolar disorder, Depressive disorders, Personality disorders, Post-traumatic stress disorder, Schizophrenia and other psychotic disorders
Specific chronic conditions: Acquired hypothyroidism, Acute myocardial infarction, Anemia, Asthma, Atrial fibrillation, Benign prostatic hyperplasia, Cataract, Chronic kidney disease, COPD and bronchiectasis, Glaucoma, Heart failure, Hip/pelvic fracture, Hyperlipidemia, Hypertension, Ischemic heart disease, Osteoporosis, Rheumatoid arthritis/osteoarthritis, Stroke/transient ischemic attack, Female/male breast cancer, Colorectal cancer, Prostate cancer, Lung cancer, Endometrial cancer
Disability Measures Blind/Visual impairment, Deafness/Hearing impairment, Mobility impairments(in near future Intellectual and developmental disabilities will be flagged)
Measures/outcomes of interest
Topics Medicare/Medicaid beneficiaries, enrollment status on a monthly basis, institutional service utilization (acute care, post-acute care, and long term care), outpatient service utilization (including prescription of durable medical equipment), health outcomes, Medicare, Medicaid, and dual category monthly and annual payment summaries.
Sample Population Medicare and/or Medicaid beneficiaries
Sample Size/Notes 2009 Data:
54.7 million unique individuals:
7 million with dual eligibility (Medicare and Medicaid);
39.6 million Medicare only;
5.8 million Medicaid only with disability
Unit of Observation Individual
Geographic Coverage United States
Geographic specificity State and Zip Code
Data Collection
Data Collection Mode Administrative linking
Years Collected 2006-2009 (Available)
Data Collection Frequency Ongoing
Strengths and limitations
Strengths Very large sample size. Contains a variety of chronic health and disability related conditions including mental health diagnoses. Permits examination of health service cost and utilization patterns for individuals with disabilities. Linked structure allows examination of long term care services access/utilization and continuity of care. Can be linked with assessment data from post-acute care settings (IRF-PAI, MDS, OASIS), other CMS data, and non-CMS data (Census, Area Health Resource File).
Limitations Managed Care service utilization and sometimes spending information is NOT included. If full benefit Medicare-Medicaid enrollees’ participation in Medicare or Medicaid managed care is 35% or more in a state, ALL of that state's data is excluded from MMLEADS files. Developmental/intellectual disabilities not currently identified (but to be added soon). Limited technical documentation for research purposes and little research currently exists. Research design and analysis is complicated due to State level variations in Medicaid infrastructure and programs.
Data details
Primary Website
Data Access
Data Access Requirements Data Use Agreement, No cost
Summary Tables/reports National and State level profiles
Data Analysis Brief: Medicare-Medicaid Dual Enrollment from 2006 through 2011
Dataset components (where applicable) Medicare beneficiary-level file
Medicaid beneficiary-level file
Medicare Service level file
Medicaid Service-level file
individual-level Chronic/Clinical condition file (person level)
Selected papers
Technical Analytic Reports and Data Resources
Other Papers Data Analysis Brief. Medicare-Medicaid Dual Enrollment from 2006 through 2011. Prepared by Medicare-Medicaid Coordination Office February 2013.

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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).

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