The Medicare–Medicaid Data Integration (MMDI) program has developed many tools designed to assist state Medicaid agencies (SMAs) with the acquisition, integration, and utilization of Medicare data.
To learn more about any of the tools below, click to expand.
Prescription opioid misuse has emerged as a growing epidemic. To address prescription opioid misuse among dually eligible beneficiaries, SMAs must understand prescription filling patterns and factors associated with opioid misuse within this population. This use case shows SMAs how to use Part D Prescription Drug Event (PDE) data, with other Medicare and Medicaid data sources, to examine opioid prescription fills among dually eligible beneficiaries.Click to download the PDF
Research shows that excessive and inappropriate prescribing of opioids is a widespread problem among providers and is largely responsible for the observed trends in opioid misuse. This use case will provide guidance to assist SMAs in leveraging Medicare data to profile providers who prescribe opioids to dually eligible beneficiaries. This will enhance SMAs’ abilities to identify opportunities to implement efforts resulting in safer prescribing analgesic opioids.Click to download the PDF
This use case describes how SMAs can utilize current and historic Medicare fee-for-service (FFS) data to identify enrollees’ most frequently used primary care providers or other key Medicare providers and assign them to a managed care organization in which their providers participate (for integrated programs) or that have a companion Medicare Special Needs Plan in which their providers participate (for non-integrated programs with the potential for aligned Medicaid and Medicare managed care plans). Assigning enrollees using intelligent assignment can reassure these beneficiaries that they will have continuity of care during the transition to a managed care plan and could reduce the number of beneficiaries opting out of optional programs or switching plans before and after enrollment into a program.
Comparison of Managed Care or Other Program Participants to Non-Participants on Characteristics and Outcomes
This use case describes how SMAs can utilize current and historic Medicare FFS data, Medicaid FFS data, and managed care encounter data to create characteristic profiles for program participants and non-participants to subsequently compare respective outcomes. A “program” could be a Financial Alignment Initiative demonstration (or other dual eligible demonstration), a Medicaid managed care program, a patient-centered medical home, or any alternative to a FFS delivery system designed to improve care coordination for dually eligible beneficiaries. Examples of characteristics are demographic factors (age, race, gender, and geographic location) and the prevalence of chronic conditions. Examples of outcomes include hospital readmissions, transitions from institutional to home and community-based services (HCBS) settings, and the type of long-term services and supports used when enrollees first start to use them (institutional vs. community-based), among others.
This use case describes how SMAs can use information available in assessments to supplement claims and eligibility data to get a more comprehensive understanding of dually eligible enrollees’ characteristics and needs. SMAs could use this information to enhance many different aspects of their programs: design, risk stratification, development of effective care coordination (applicable to managed FFS models), performance metrics, and enrollee satisfaction and education. These assessments contain valuable information that cannot generally be found in claims data, such as an enrollee’s level of functional impairment, level of cognitive impairment, and availability of social supports.
This use case describes how SMAs can use integrated Medicare and Medicaid data to produce descriptive analyses and timely metrics to better understand the factors associated with enrollment and disenrollment in managed care programs. It was developed to help SMAs use holistic data to monitor the status of enrollment as a means of improving program design or operations to increase participation in the SMAs’ managed care programs targeted at dual eligible enrollees. Examples include:
- Chronic conditions and cognitive condition profiles of key groups of interest by enrollment status.
- Service use profiles of key groups of interest by enrollment status.
- Living arrangement profiles of key groups of interest by enrollment status.
This use case describes how SMAs can incorporate the Centers for Medicare & Medicaid Services’ (CMS) Home and Community-Based Services (HCBS) Taxonomy into their integrated Medicare–Medicaid data files and leverage the Taxonomy in analysis and reporting. Potential application of this analysis include the following examples:
- The ability for SMAs and CMS to make cross-state comparisons in HCBS coverage and utilization;
- Examination of changes in use of HCBS in relation to use of Medicare acute and post-acute services; and
- Examination of characteristics of people using HCBS, such as chronic conditions or limitations in activities of daily living.
This use case helps SMA to proactively look for fraud, waste, abuse, and overpayment in managed care programs targeted at dually eligible beneficiaries. The MMDI team has identified a number of program integrity analyses that may be particularly relevant to SMAs integrating care for dually eligible beneficiaries, including:
- Capitation payments for ineligible members.
- Services for ineligible members.
- Professional visits to residential facilities.
- Professional visits to dually eligible beneficiaries’ homes.
Using Integrated Medicare and Medicaid Data for Program Integrity: Personal Care Services and Hospice
The MMDI “Using Integrated Medicare and Medicaid Data for Program Integrity: Personal Care Services and Hospice” use case provides examples of how SMAs can use integrated Medicare and Medicaid data to strengthen their efforts to ensure program integrity in the provision of personal care services and hospice services for dually eligible beneficiaries.
Since Medicare pays for most facility stays and hospice services for dually eligible beneficiaries, integrated Medicare and Medicaid data are needed to identify potential improper Medicaid payments for services in the same time period. The use case includes examples of analytic results, a Technical Supplement that describes the methodology and data sources, and a Source Code Package Implementation Guide that includes SAS code and an explanation of how to implement the code.
If your SMA is interested in reviewing this use case, please reach out to SDRC via their contact page: http://statedataresourcecenter.com/pages/contact/ for a copy of the use case.
Using Integrated Data to Generate Risk Scores and Chronic Condition Information for Dually Eligible Beneficiaries
This use case describes how SMAs can use integrated Medicare-Medicaid data to improve their ability to stratify the dually eligible beneficiaries by risk, which should result in more effective care coordination.
SMAs that are developing programs to better coordinate care for dual eligible beneficiaries need to understand the population’s demographic characteristics and service utilization to effectively tailor programs to the population’s needs. In this use case, the MMDI team identifies some common profile elements and describe the requisite data sources and methodologies needed to produce them.
Leveraging Integrated Medicare and Medicaid Data to Examine Dually Eligible Beneficiaries’ Prevalence of Behavioral Health Conditions and Differences in Cost and Service Use
Several studies have shown that the dual eligible population has a high prevalence of mental health conditions and combined mental health and physical health conditions compared to Medicare beneficiaries who do not have Medicaid. The purpose of this use case is to provide SMAs with an understanding of how they can leverage integrated data to: (1) identify the prevalence of seven behavioral health conditions in the dual eligible population, and (2) examine differences in costs and service utilization for those with and without these conditions.
Leveraging Integrated Medicare and Medicaid Data to Examine Dually Eligible Beneficiaries Use of Behavioral Health Services
This use case demonstrates how SMAs can leverage integrated Medicare and Medicaid data to describe dually eligible beneficiaries’ utilization of behavioral health services for the treatment of behavioral health disorders. Behavioral health includes substance use disorders and mental health disorders. In particular, this use case provides examples of how SMAs can identify common behavioral health service categories across Medicare and Medicaid programs with different covered services and provider types.
Leveraging Integrated Medicare and Medicaid Data to Examine Dually Eligible Beneficiaries’ Quality of Care – Behavioral Health Measures
This use case demonstrates how SMAs can use the Core Set of Adult Health Care Quality Measures for Medicaid (Adult Core Set 1) with integrated Medicare and Medicaid data to assess the quality of dually eligible beneficiaries’ behavioral health care. We selected two Adult Core Set quality measures that provide information to care coordination as examples: 1) Follow-Up After Hospitalization for Mental Health Illness and 2) Diabetes Screening for People with Schizophrenia or Bipolar Disorder Who Are Prescribed Antipsychotic Medications.
Selecting a Diagnostic Classification System for Assignment of Chronic Conditions to Dually Eligible Beneficiaries
One of the most notable characteristics of the dually eligible population is a high prevalence of chronic conditions, including comorbidities. This use case provides a framework to help SMAs choose a diagnostic classification system to identify chronic conditions within the dual eligible population. To illustrate the framework, we have selected three widely-used diagnostic classification systems: 1) CMS Chronic Conditions Data Warehouse (CCW) chronic conditions algorithms; 2) CMS Hierarchical Condition Category (HCC) risk adjustment model; and 3) the University of California, San Diego (UCSD) Chronic Illness and Disability Payment System (CDPS) diagnostic classification system.
Prescription drugs are a significant part of the delivery of health care services to dually eligible beneficiaries. This use case provides an overview of Medicare Part D PDE data and helps SMAs understand how they can use the data, integrated with other sources, to conduct basic analytics to understand dually eligible beneficiaries’ drug utilization.
This use case provides examples of analytics SMAs can conduct using PDE data, when integrated with other sources, to understand dually eligible beneficiaries Part D enrollment by plan type, drug utilization, and costs.
The elderly population is at an increased risk for adverse prescription drug reactions as the result of age-related physiologic changes, comorbidities, and polypharmacy. This use case will demonstrate how SMAs can use Medicare PDE data and the publicly available National Committee for Quality Assurance quality measure, the Use of High-Risk Medications in the Elderly, to identify elderly dual eligible beneficiaries who are using high-risk medications.
Falls are the leading cause of fatal and non-fatal injuries among individuals 65 years and older (elderly), with roughly one-third of the elderly population estimated to experience a fall each year. This use case was developed to help SMAs identify elderly dual eligible beneficiaries who are at an increased risk of falling based on the Centers for Disease Control and Prevention guidelines.
Studies have shown that dually eligible beneficiaries are more likely to use the emergency department than Medicare-only beneficiaries. This use case demonstrates how SMAs can use Medicare data sources to investigate emergency department utilization patterns in the dually eligible population.
The flu vaccine can reduce the risk of contracting a flu virus by 40-60 percent. This use case helps SMAs identify dual eligible beneficiaries who received a flu vaccination based on the Centers for Disease Control and Prevention’s guidelines, an American Medical Association quality measure endorsed by the National Quality Forum, and guidance from the National Vaccine Program Office.
This use case demonstrates how SMAs can use Medicare claims, PDE data, and a Healthcare Effectiveness Data and Information Set quality measure to identify dually eligible beneficiaries with diabetes (type 1 and type 2) and report on their utilization of specific diabetes management services.
This use case helps SMAs identify dually eligible beneficiaries who are recommended for breast and cervical cancer screenings and determine the rates of breast and cervical cancer screening using validated measures.
This use case leverages Medicare assessment data to identify dually eligible beneficiaries who have cognitive and/or functional impairment to understand the prevalence of these impairments and thus better coordinate care for this population.
Using Integrated Medicare and Medicaid Data for Program Integrity: Personal Care Services and Hospice
This use case demonstrates how states can use integrated Medicare and Medicaid data to strengthen their efforts to ensure program integrity in the provision of personal care services and hospice services for dually eligible beneficiaries.
Telehealth is the delivery of health care services to a beneficiary by a provider at a distant site. This use case demonstrates how SMAs can use Medicare data to understand dually eligible beneficiaries’ use of telehealth services.
This use case helps SMAs identify dual eligible beneficiaries who have prescription drug fills for psychotropic medications and compare psychotropic medication fills between beneficiaries receiving hospice services and those not receiving hospice services.