Clinical trial NCT02918097: Cost- Effectiveness and Quality of Life Assessment in Bipolar Disorder Depressive Episode
Official title: Cost- Effectiveness and Quality of Life Assessment in Bipolar Disorder Depressive Episode
Study type: INTERVENTIONAL
Overall status: COMPLETED
Phase: PHASE4
Conditions: Bipolar Disorder
Keywords: Cost effectiveness
Bipolar disorder
Depressive episodes
Quality of Life
Lead sponsor: Federal University of Rio Grande do Sul
Sponsor class: OTHER
First posted: 2016-09-28
Enrollment: 78
Sex: ALL
Minimum age (years): 18
Maximum age (years): 65
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Allocation: NA
Intervention model: SEQUENTIAL
Intervention model description: This is a pragmatical clinical trial. The patients follow a pre-established algorithm About the participant flow the results the table to indicate the number of participants who received treatment in the whole algoritm, not in each step.
Primary purpose: TREATMENT

Brief summary: To evaluate the effectiveness of an algorithm for Bipolar Disorder depressive episodes (BDD) using medications available in the Brazilian Public Healthcare System (SUS). Quality of life assessment of these patients was also employed.

A randomized pragmatic trial was conducted. An algorithm was developed for the treatment of episodes of bipolar disorder depression episodes.

Detailed description: The study design was that of a pragmatic randomized clinical trial to evaluate the effectiveness of treatments for mood disorders in a public healthcare context in the city of Porto Alegre, in southern Brazil. The algorithm was originally developed for the treatment of bipolar disorder depressive episodes by a Delphi panel of experts from psychiatric associations in Brazil. All subjects provided an informed consent form, in writing, in order to participate in the study protocol, which was approved by the institutional ethics committee.

Procedures and measurements of the study:

The subjects under evaluation were selected and they followed the stages defined by the treatment protocol:

1. Sample selection by being referred from the primary healthcare clinics in the municipality;
2. Informative talk about mood disorders and the research, with the informed consent forms being provided to the subjects;
3. Screening for unipolar depression episodes with the use of the Patient Health Questionnaire (PHQ-9), and Hypomanic Symptoms Checklist Brazilian Version (HCL -32-BV);
4. Diagnostic evaluation through the Mini International Neuropsychiatric Interview (MINI) and clinical interview for individuals with positive results in the screening instruments;
5. Baseline and demographic assessments using standardized semi-structured interviews in the first and second visits;
6. In each clinic visit, the severity of the symptoms were evealuated using the Clinical Global Impression Scale (CGI), Hamilton Rating Scale for Depression (HRSD), and Young Manic Rating Scale (YMRS);
7. Biweekly follow-up, changed to monthly after stabilization - with a maximum follow-up period of 52 weeks.

Eligibility criteria: Inclusion Criteria:

1. ages between 18 and 65;
2. BD current acute mixed episode;
3. total capacity to understand and respond to self-applied instruments;
4. the presence of symptoms in the last 30 days;
5. abstinence for at least 30 days for drug addicts.

Exclusion Criteria:

1. presence of Organic Brain Syndrome (OBS);
2. pregnancy or lactation;
3. criteria for psychiatric hospitalization. -

Primary outcomes:
measure: Number of Participants With Response to Treatment"
timeFrame: 8 weeks
measure: Quality of Life Instrument Scores
timeFrame: 12 weeks
Secondary outcomes:
measure: Number of Participants With Remission to Treatment
timeFrame: 8 months
Other outcomes:
Locations:
Study officials:
affiliation: Federal University of Rio Grande do Sul
name: Marcelo Fleck, PhD
role: PRINCIPAL_INVESTIGATOR
References:
citation: Lima AF, Miguel SR, Cohen M, Zimmermann JJ, Shansis FM, Cruz LN, Ziegelmann PK, Polanczyk CA, Fleck MP. Effectiveness evaluation of mood disorder treatment algorithms in Brazilian public healthcare patients. Braz J Psychiatry. 2018 Jan-Mar;40(1):26-34. doi: 10.1590/1516-4446-2016-2147. Epub 2017 Aug 21.