Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT02922361 |
Other study ID # |
825923 |
Secondary ID |
|
Status |
Completed |
Phase |
|
First received |
|
Last updated |
|
Start date |
September 2016 |
Est. completion date |
December 2021 |
Study information
Verified date |
February 2022 |
Source |
University of Pennsylvania |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational
|
Clinical Trial Summary
This project will use data from a large network-model health maintenance organization that
operates Medicare Advantage (MA) plans (CareMore) and fee-for-service Medicare data to (1)
better understand the characteristics of high-need, high-cost MA enrollees patients and (2)
evaluate the impact of a care management program focused on high-need high-cost MA enrollees
with end-stage renal disease.
Description:
There will be two aims. Aim 1 will describe and categorize high-need, high-cost populations.
The investigators will use CareMore inpatient, outpatient, and pharmacy claims from years
2010-2014. The investigators will construct mortality and readmission risk category and they
will utilize traditional claims-based risk models developed on out of sample data to
categorize patient risk level. For the high health expenditure category, they will examine
inpatient, outpatient, and pharmacy data to identify groups of patients who drive
disproportionate health spending. Finally, for utilization the investigators will use claims
and outpatient visit data (to the extent any electronic health record (EHR) data becomes
available) to identify patients with disproportionate visit intensity. The approach to
describe patients within these groups will be to categorize patients into deciles and utilize
multivariate regression models to identify demographic, clinical, socioeconomic, and
geographic characteristics associated with presence in a top decile along each metric. For
example, the investigators will describe individual and clusters of diagnoses that are
associated with high spending. They will also examine patients who meet multiple criteria and
describe associated characteristics. Aim 2 will examine the impact of CareMore's end stage
renal disease (ESRD) care model. They will use CareMore inpatient, outpatient, skilled
nursing facilities (SNF), inpatient rehabilitation facilities (IRF), other facilities,
pharmacy, and post-acute care claims and Center for Medicare and Medicaid (CMS)
Fee-For-Service (FFS) data from matched geographies. They will also attempt to obtain the
healthcare effectiveness data information set (HEDIS) data from health plan at patient and
physician level, CMS stars measure data, available electronic medical record (EMR) data, and
physician characteristics data to the extent CareMore can provide. They will perform a
retrospective analysis of claims data. The investigators will use a primary comparison group
of ESRD patients in Medicare FFS, particularly in localities where no ESRD special need plans
(SNP) is offered to mitigate some effects of selection. The team will also explore a second
comparison group of CareMore traditional MA plan enrollees who develop ESRD. They will first
examine patient, physician, and plan or site characteristics associated with variation in
utilization of the specialized services including enhanced nutritional counseling,
personalized care plans, dialysis treatment evaluation, and supplemental medical evaluations
-- using logistic regression. Second, they will perform a descriptive analysis of the
association between use of these services and cost and quality outcomes.