Assessing Costs & Cost-variability Among Enrollees of Health Insurance Programs Utilizing Charlson's Comorbidity Index and Administrative Databases

This study is ongoing, but not recruiting participants.
Sponsor:
Information provided by (Responsible Party):
Mary E. Charlson, MD, Weill Medical College of Cornell University
ClinicalTrials.gov Identifier:
NCT01761253
First received: January 2, 2013
Last updated: January 10, 2013
Last verified: January 2013
  Purpose

This study will involve the evaluation of the cost profile of about 15,000 patients with different burdens of comorbidity who have at least two continuous years of enrollment in the Generations Plus/ Northern Manhattan Health Network. We will test the hypothesis that as comorbidity scores exceed three-four, patients will have an exponential increase in average yearly cost with a parallel exponential increase in cost variability.


Condition
Multiple Chronic Illnesses

Study Type: Observational
Study Design: Time Perspective: Retrospective
Official Title: Assessing Costs & Cost-variability Among Enrollees of Health Insurance Programs Utilizing Charlson's Comorbidity Index and Administrative Databases

Resource links provided by NLM:


Further study details as provided by Weill Medical College of Cornell University:

Primary Outcome Measures:
  • Assessing costs & cost-variability among enrollees of health insurance programs utilizing Charlson's comorbidity index and administrative databases [ Time Frame: The data within this dataset was collected between July 2007 and July 2009. ] [ Designated as safety issue: No ]
    Data for approximately 15,000 patients who were continuously enrolled in the Generations Plus/ Northern Manhattan Health Network during the calendar years 2006 and 2007 will be assembled and will include age, gender, length of plan enrollment, whether or not the patient is disabled, and their diagnoses. The data within this dataset was collected between July 2007 and July 2009.


Estimated Enrollment: 15000
Study Start Date: June 2007
Estimated Study Completion Date: January 2015
Primary Completion Date: July 2009 (Final data collection date for primary outcome measure)
Groups/Cohorts
Assessing costs & cost-variability
patients with different burdens of comorbidity who have at least two continuous years of enrollment in the Generations Plus/ Northern Manhattan Health Network.

  Eligibility

Genders Eligible for Study:   Both
Accepts Healthy Volunteers:   No
Sampling Method:   Probability Sample
Study Population

patients with different burdens of comorbidity who have at least two continuous years of enrollment in the Generations Plus/ Northern Manhattan Health Network between June 2007 to July 2009.

Criteria

Inclusion Criteria:

  • patients with different burdens of comorbidity who have at least two continuous years of enrollment in the Generations Plus/ Northern Manhattan Health Network between June 2007 to July 2009.

Exclusion Criteria:

-

  Contacts and Locations
Please refer to this study by its ClinicalTrials.gov identifier: NCT01761253

Locations
United States, New York
Generations Plus/ Northern Manhattan Health Network
Bronx, New York, United States, 10451
Sponsors and Collaborators
Weill Medical College of Cornell University
  More Information

No publications provided

Responsible Party: Mary E. Charlson, MD, Executive Director, Center for Integrative Medicine/Chief, Division of Clinical Epidemiology and Evaluative Sciences Research, Weill Medical College of Cornell University
ClinicalTrials.gov Identifier: NCT01761253     History of Changes
Other Study ID Numbers: WCMC IRB No. 910010709
Study First Received: January 2, 2013
Last Updated: January 10, 2013
Health Authority: United States: Weill Cornell Medical College- Institutional Review Board

Keywords provided by Weill Medical College of Cornell University:
comorbidity, multiple chronic conditions, Medicaid, prediction of cost
Predictive models, cost containment, managed care

Additional relevant MeSH terms:
Chronic Disease
Disease Attributes
Pathologic Processes

ClinicalTrials.gov processed this record on June 17, 2013