Here is the design of a clinical trial:

Official Title: Shared Medical Decision Making in the Prophylactic Treatment of Bipolar Disorder

Included conditions:
- Bipolar Disorder

Study Armgroups:
- {'label': 'Shared Decision making for care', 'interventionNames': ['Other: Shared-decision making process']}
- {'label': 'Standard decision making for care', 'interventionNames': ['Other: standard care']}

Interventions:
- {'type': 'OTHER', 'name': 'Shared-decision making process', 'description': 'Completion of the Ottawa Personal Decision Guide to help guide care with the support of online and printed material describing the therapeutic options available', 'armGroupLabels': ['Shared Decision making for care']}
- {'type': 'OTHER', 'name': 'standard care', 'description': 'Care of patients according to standard practice of managing patients with bipolar disorder', 'armGroupLabels': ['Standard decision making for care']}

Primary Outcomes:
- {'measure': 'Measure the difference of prophylactic treatment compliance between bipolar patients receiving treatment according to standard care versus a shared decision making care plan following a mood episode.', 'description': 'Clinician Rating Scale (1-7)', 'timeFrame': '12 months'}

Please estimate the sample size based on the assumption: 
90% power, standard deviation of 1.4, intra-cluster coefficient of 0.05, two-sided T-test with a significance level of 0.05, 20% dropout rate at 12 months.
Sample size calculation
        The sample size was calculated using PASS Power Analysis and Sample Size Software 15.
        The number of subjects required was determined from the assumptions based on the primary outcome, the adherence score measured from the CRS (score rated between 1 and 7).
        A minimum difference of 1 point between the two groups is considered as clinically relevant (minimal clinically observable change) [21, 22]. A sample size of 5 clusters per group with 23 individuals per cluster achieves 90% power to detect a difference of 1 between the two group means when the standard deviation is 1.4 and the intra-cluster coefficient is 0.05 using a two-sided T-test with a significance level of 0.05 [45, 46]. To prevent 20% of dropout at 12Â months, 30 individuals per cluster is necessary and a total of 300 patients should be included.