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

NCT01761253 | Completed

• 1 other identifier: WCMC IRB No. 910010709
• Study Type: observational
• Target: 241,000
• Locations: 1 country
• Sites: 1

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.

Conditions

Multiple Chronic Illnesses

Keywords

comorbidity, multiple chronic conditions, Medicaid, prediction of cost; Predictive models, cost containment, managed care

Outcome Measures

Primary Outcomes (1)

• Assessing costs & cost-variability among enrollees of health insurance programs utilizing Charlson's comorbidity index and administrative databases

  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.

  The data within this dataset was collected between July 2006 and July 2010.

Study Arms (1)

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.

Eligibility Criteria

• Sex: all
• Healthy Volunteers: No
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)
• 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.

You may qualify if:

• 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

Sponsors & Collaborators

• Weill Medical College of Cornell University: lead

Study Sites (1)

Generations Plus/ Northern Manhattan Health Network

The Bronx, New York, 10451, United States

Location

Related Publications (1)

• Charlson M, Wells MT, Ullman R, King F, Shmukler C. The Charlson comorbidity index can be used prospectively to identify patients who will incur high future costs. PLoS One. 2014 Dec 3;9(12):e112479. doi: 10.1371/journal.pone.0112479. eCollection 2014.

  PMID: 25469987 DERIVED

MeSH Terms

Conditions

Multiple Chronic Conditions

Condition Hierarchy (Ancestors)

Chronic Disease; Disease Attributes; Pathologic Processes; Pathological Conditions, Signs and Symptoms

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Executive Director, Center for Integrative Medicine/Chief, Division of Clinical Epidemiology and Evaluative Sciences Research

Study Record Dates

• First Submitted: January 2, 2013
• First Posted: January 4, 2013
• Study Start: June 1, 2006
• Primary Completion: July 1, 2010
• Study Completion: July 1, 2010
• Last Updated: February 20, 2017

Record last verified: 2017-02

Locations

US (1)