Multiple Chronic Illnesses Clinical Trial
Official title:
Assessing Costs & Cost-variability Among Enrollees of Health Insurance Programs Utilizing Charlson's Comorbidity Index and Administrative Databases
Verified date | February 2017 |
Source | Weill Medical College of Cornell University |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
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.
Status | Completed |
Enrollment | 241000 |
Est. completion date | July 2010 |
Est. primary completion date | July 2010 |
Accepts healthy volunteers | No |
Gender | All |
Age group | N/A and older |
Eligibility |
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 |
Country | Name | City | State |
---|---|---|---|
United States | Generations Plus/ Northern Manhattan Health Network | Bronx | New York |
Lead Sponsor | Collaborator |
---|---|
Weill Medical College of Cornell University |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | 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. |