|Dataset Full Name||Medicare-Medicaid Linked Enrollee Analytic Data Source|
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. For more information on the CCW, see: https://www.ccwdata.org/web/guest/condition-categories
|Key Terms||Eligibility of benefits, Enrollment status, Health services utilization, Cost, Physical conditions, Mental conditions, Chronic and clinical conditions|
Department of Health and Human Services (HHS)
Centers for Medicare and Medicaid Services (CMS)
|Health Conditions/Disability Measures|
ADD/ADHD, Alzheimer's/dementia, Anxiety disorders, Autism spectrum disorders, Bipolar disorder, Blood disorder, Body mass index (BMI)/obesity, Cancer, Cardiovascular conditions,Congenital conditions, Depression, Diabetes, Epilepsy or seizure disorder, Eye diseases, Heart attack, Infectious diseases, Kidney/renal condition, Migraine or frequent headaches, Multiple sclerosis, Muscular dystrophy, Orthopedic conditions, Osteoporosis, Post traumatic stress disorder (PTSD), Schizophrenia, Spinal cord injury (SCI), Stroke, Thyroid disease, Traumatic brain injury (TBI)
|Disability Measures||Cognitive disability, Developmental disabilities, Hearing disability, Intellectual disability, Mental health disability, Visual disability||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, Dual category monthly and annual payment summaries.||Sample|
|Sample Population||Medicare and/or Medicaid beneficiaries|
58.4 million unique individuals:
|Unit of Observation||Individual|
|Geographic Coverage||United States|
|Geographic specificity||State and Zip Code|
Medicare and Medicaid beneficiaries
|Data Collection Mode||Administrative linking|
|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. 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|
Accessing PUF and RIF:
|Data Access Requirements||
Public Use File
Data Use Agreement, No cost -- Research Identifiable File (RIF)
Data Analysis Brief:
MMLEADS Public Use File: A Methodological Overview:
Medicare-Medicaid Linked Analytic File: Methodological Summary:
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