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

Status

Completed

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT01761253

Enrollment

241000

Registered

2013-01-04

Start date

2006-06-30

Completion date

2010-07-31

Last updated

2017-02-20

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Multiple Chronic Illnesses

Keywords

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

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.

Interventions

None listed

Study design

Observational model

OTHER

Time perspective

RETROSPECTIVE

Eligibility

Sex/Gender

ALL

Healthy volunteers

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

Design outcomes

Primary

Measure	Time frame	Description
Assessing costs & cost-variability among enrollees of health insurance programs utilizing Charlson's comorbidity index and administrative databases	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.

Countries

United States

Outcome results