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

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ClinicalTrials.gov Identifier: NCT01761253
Recruitment Status : Completed
First Posted : January 4, 2013
Last Update Posted : February 20, 2017
Sponsor:
Information provided by (Responsible Party):
Mary E. Charlson, MD, Weill Medical College of Cornell University

Brief Summary:

This study will involve the evaluation of the cost profile of about approximately 241,000 patients (15,000 who are members of the Generations Plus/ Northern Manhattan Health Network AND 226,000 members of a large self insured union trust fund). 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.

We will examine the relationship between comorbidity and health insurance costs and variability in costs among patients enrolled in health plans.


Condition or disease
Multiple Chronic Illnesses

Study Type : Observational
Actual Enrollment : 241000 participants
Observational Model: Other
Time Perspective: Retrospective
Official Title: Assessing Costs & Cost-variability Among Enrollees of Health Insurance Programs Utilizing Charlson's Comorbidity Index and Administrative Databases
Study Start Date : June 2006
Actual Primary Completion Date : July 2010
Actual Study Completion Date : July 2010

Resource links provided by the National Library of Medicine

MedlinePlus related topics: Health Insurance
U.S. FDA Resources

Group/Cohort
Assessing costs & cost-variability
Data for the approximately 15,000 patients who were continuously enrolled during the calendar years 2006 and 2007 in the Generations Plus/ Northern Manhattan Health Network and 226,000 members of a large self insured union trust fund from 2007-2010 will be combined. The data will include age, gender, length of plan enrollment, whether or not the patient is disabled, their diagnoses, and their use of medical and social services.



Primary Outcome Measures :
  1. 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 2006 and July 2010. ]
    Data for approximately 241,000 patients (15,000 who are members of the Generations Plus/ Northern Manhattan Health Network and 226,000 members of a large self insured union trust fund) during the calendar years 2006 and 2010 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 2006 and July 2010.



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Ages Eligible for Study:   Child, Adult, Senior
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   No
Sampling Method:   Probability Sample
Study Population
Approximately 15,000 patients who were continuously enrolled during the calendar years 2006 and 2010 in the Generations Plus/ Northern Manhattan Health Network and 226,000 members of a large self insured union trust fund from 2007-2010 will be combined. The data will include age, gender, length of plan enrollment, whether or not the patient is disabled, their diagnoses, and their use of medical and social services.
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 and members of a large self insured union trust fund from 2007-2010

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its ClinicalTrials.gov identifier (NCT number): 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

Publications automatically indexed to this study by ClinicalTrials.gov Identifier (NCT Number):
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
First Posted: January 4, 2013    Key Record Dates
Last Update Posted: February 20, 2017
Last Verified: February 2017

Keywords provided by Mary E. Charlson, MD, 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
Multiple Chronic Conditions
Disease Attributes
Pathologic Processes