Bipolar Disorder Clinical Trial
Official title:
Bipolar Disorder Center for Pennsylvanians (BDCP) Research Study
The Bipolar Disorder Center for Pennsylvanians aims to reduce significant differences in treatment results among Pennsylvanians with bipolar disorder, especially among youth, the elderly, rural residents, and African Americans who are less likely to receive adequate treatment, less likely to remain in treatment once identified, and less likely to have positive results if they remain in treatment. Half of the subjects receive either Guideline Intervention (GI) or Enhanced Clinical Intervention (ECI). ECI is a combination of information and support, such as education about bipolar disorder, the medications used to treat it, information about sleep practices and habits that affect quality of sleep, review of symptoms, medication side effects, and coping with side effects. It is predicted that Enhanced Clinical Intervention will be more effective in reducing the differences in results between those most at risk compared to mid-life Caucasians. The treatment study occurs at three sites across Pennsylvania and has emphasized the recruitment of African Americans, youth (ages 12 through 18), and adults over age 65.
Bipolar disorder is one of the world's most disabling conditions, robbing sufferers of years
of healthy functioning. The presence of bipolar disorder is not limited to any nation, race,
age, gender, or socioeconomic status, and has a lifetime prevalence of 1% across all
populations. While there do not appear to be disparities in who is at risk for bipolar
disorder, there are marked disparities in who is likely to be diagnosed and treated. The
average person with bipolar disorder waits ten years before receiving the correct diagnosis
(National Depression and Manic-Depression Association, 2000). Once a diagnosis of bipolar
disorder is made, there are equally marked disparities in treatment outcome.
Also known as manic-depressive illness, bipolar disorder is a recurrent and chronic mental
condition associated with substantial morbidity and mortality. The stigma associated with
open recognition of this disorder decreases the likelihood of accurate diagnosis and
treatment. Considering the impact of this disorder on the most vulnerable populations
(youth, elderly, rural populations, and minorities), the challenge is to understand and
reverse the current public health crisis. This crisis has created an enormous financial
burden on the health, welfare, and disability systems. At the same time, it reduces the
likelihood of economic and social productivity that can be achieved by potentially
productive individuals.
The primary objective of the study is to test an intervention to reduce health disparities
related to bipolar disorder, a vastly more destructive and difficult to treat condition than
previously realized. The outcomes of interest include accurate and timely diagnosis,
adequacy of prescribed treatment, retention in treatment, suicidality, and a range of
treatment benefits including health-related quality of life, employment, treatment
satisfaction, medication adherence, utilization of lower levels of intervention (e.g.,
outpatients versus partial or inpatient care), and reduction of substance use, medical
morbidity and mortality. Particular attention has been paid to the collection of service
utilization data to track key health care and social services. Costs for medical and
psychiatric treatment, medications, inpatient, rehabilitation, and emergency room services
are being ascertained for cost assessment, and patients' mood functioning is being tracked
to assess the overall effectiveness of the interventions. The study is also using
state-of-the-art assessments of phenotypic clinical variables to develop clinically
meaningful predictors of treatment response across the age spectrum and across diverse
racial groups.
To characterize more precisely the phenotypic complexity of this disorder, we have developed
a spectrum model of psychiatric illness using a broader conceptualization of mood disorders
and an integrated view of common comorbidities, anchored in the Mood and Anxiety Spectrum
Assessments (Cassano et al. 1997; Cassano et al in press). This refined description of
patient variability (or phenotypes) should lead to improved understanding of the variability
in treatment outcomes among patients suffering from bipolar disorder and eventually to
creating appropriate first-line treatments for patients who present with specific clinical
phenotypes.
Careful consideration of biological phenotypes, as represented in population
pharmacokinetics, turns a second line of attack on the problem of tailoring treatments to
patients' specific needs. A key correlate of treatment response that has never been examined
in bipolar disorder is consistent and adequate medication exposure. Essential to
understanding variability in treatment response is being able to distinguish true
non-responders from those who never received adequate exposure to drug. Consistency of drug
exposure can be determined using a combination of electronic monitoring of drug-taking and
population pharmacokinetic analysis.
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Allocation: Randomized, Endpoint Classification: Efficacy Study, Intervention Model: Parallel Assignment, Masking: Open Label, Primary Purpose: Treatment
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