AcademyHealth 2016 - CCW Posters

The following poster sessions utilizing data from the Chronic Conditions Data Warehouse were presented at AcademyHealth's 2016 Annual Research Meeting (ARM):

Fractures among the elderly are serious health problems that occur frequently, are expensive to treat, and may result in significant disability and increased risk of mortality. Overall mortality rates among the elderly with hip fractures has been estimated, but less is known about the risk of mortality following fractures of varying severity. Hip fractures are an especially common, severe and expensive fracture type among the elderly. The main objectives of this study were to quantify mortality rates and determine factors impacting mortality following a fracture among nursing home residents.

On October 1, 2015 the conversion from the 9th version of the International Classification of Diseases (ICD-9-CM) to version 10 (ICD-10-CM) occurred. The ICD-10-CM has more than 70,000 unique codes compared to approximately 14,000 ICD-9-CM codes, which allows for more detail surrounding diagnoses. The objectives of this study are to: 1) validate that Medicare claims were received in the CCW after the ICD-10-CM conversion without disruption; 2) describe the changes in the CCW algorithms to identify three chronic conditions (Acute Myocardial Infarction [AMI], Asthma and Hip/Pelvic Fractures); and 3) quantify the impact on the prevalence rates of these conditions after the conversion to ICD-10-CM codes.

Breast cancer (BC) is the second most common cancer among US women. The study objective was to examine the pattern of BC-related surgical, radiation and drug treatment up to two years post diagnosis among a cohort of Medicare females with incident BC derived from Medicare claims in 2011.


AcademyHealth 2015 - CCW Posters

The following poster sessions utilizing data from the Chronic Conditions Data Warehouse were presented at AcademyHealth's 2015 Annual Research Meeting (ARM):

The objectives were to: 1) describe the percent of fee-for-service (FFS) Medicare claims identified in the Medicaid claims data and considered a single service in the Medicare-Medicaid dual population; 2) quantify the impact on utilization counts after accounting for overlapping claims; and 3) examine different types of service and geographic variation in overlapping claims.

MMLEADS is a suite of analytic files designed to serve as a tool for research of Medicare and Medicaid enrollees in addition to individuals who only receive Medicare coverage and/or individuals who only receive Medicaid coverage. It allows for investigation of eligibility, enrollment, cost and utilization, and 49 common health conditions for individuals enrolled in Medicare and/or Medicaid. Cost and utilization has been summarized into therapeutic classes within Medicare Part D and Medicaid drug categories. The objectives of this study were: 1) to identify a population with high drug costs and 2) to characterize the drug use in terms of specific therapeutic classes of medications.

Emergency Departments (EDs) are important gateways to health care in the United States and providers of services to all persons regardless of insurance or ability to pay. From 2001 to 2008, the number of ED visits increased by 1.9% per year, a rate 60% faster than population growth. The main goal of this study was to understand geographic patterns and identify important factors in the rate of low severity ED visits among Medicare beneficiaries at the hospital referral regions (HRRs) level. Understanding driving factors of ED visits for low severity conditions among Medicare beneficiaries may alleviate ED crowding and improve quality of care in US emergency departments.

The Centers for Medicaid & Medicare Services (CMS) Chronic Condition Warehouse (CCW) is used as the data source for several CMS real-time re-porting initiatives. Measures of quality, cost and utilization are computed based on all claims for a given month. Unfortunately, due to the nature of receiving, processing and finalizing claims data, the mature monthly metric value may not be observed until a number of months after the service month. The non-mature monthly metric value that we observe in more recent months is an error-prone estimate of the mature monthly metric value. The primary research objective here was to characterize the relationship between observed and mature monthly metric values, and to evaluate approaches to predict mature values prior to maturity.

Benzodiazepines (BZD) and barbiturates (BARB) were excluded from Medicare Part D covered drugs from 2006 to 2012. Starting in 2013, the Part D program began to cover BZD for all Part D medically accepted indications and BARB when used in the treatment of epilepsy, cancer or chronic health disorders. The study objective was to examine the cost and use of these drugs in Medicare beneficiaries since most of these drugs are included by Beers' criteria as potentially inappropriate drugs in older adults.


AcademyHealth 2014 - CCW Poster

The following poster session utilizing data from the Chronic Conditions Data Warehouse was presented at AcademyHealth's 2014 Annual Research Meeting (ARM):

The objectives were to describe the completeness of Medicare Part A Institutional claims and Part B Institutional claims (which are also known as the Hospital Outpatient claims) at different levels of claims maturity (i.e. after different amounts of time have elapsed from the service date to the claim processing date).


AcademyHealth 2013 - CCW Presentations & Posters

The following poster sessions and presentations utilizing data from the Chronic Conditions Data Warehouse were presented at AcademyHealth's 2013 Annual Research Meeting (ARM):

The goals were to describe recent trends in outpatient hospital stays; differentiate types of outpatient stays that included (1) observation stays and (2) multiday stays following a major outpatient procedure; and also describe outpatient stays lasting more than three days.

The objective was to highlight some key features of the new Medicare-Medicaid Linked Enrollee Analytics Data Source (MMLEADS) data product, and use the data to evaluate cost and utilization for Medicare-Medicaid enrollees identified as having schizophrenia compared to individuals without the condition. It also enables comparisons to individuals who only receive Medicare coverage and the subset of individuals who only receive Medicaid coverage due to disability.

Provides an overview of goals of the Medicare-Medicaid Linked Enrollee Analytics Data Source (MMLEADS), which includes linking Medicare & Medicaid claims information (eligibility/enrollment, utilization, expenditures) for unique beneficiary-level analysis. The presentation includes overviews of the data files/architecture, various service types, and the chronic and clinical conditions that are included.