Here is the design of a clinical trial:

Official Title: Randomized Trial of a Supportive Oncology Care at Home Intervention for Patients With Cancer Receiving Definitive Treatment

Included conditions:
- Pancreatic Cancer
- GastroEsophageal Cancer
- Rectal Cancer
- Head and Neck Cancer
- Lymphoma

Study Armgroups:
- {'label': 'Usual Care', 'type': 'ACTIVE_COMPARATOR', 'description': 'Participants assigned to the standard care arm will receive standard oncology care and attend regular clinic visits. Participants on the standard care arm will complete questionnaires from baseline up to 6 months following enrollment.', 'interventionNames': ['Other: Usual Care']}
- {'label': 'Supportive Oncology Care at Home', 'type': 'EXPERIMENTAL', 'description': 'The research study procedures include:\n\n* Remote monitoring of symptoms, vitals, and body weight\n* Questionnaires asking about demographic information (e.g. gender, ethnicity, income) and experience with cancer (e.g. quality of life, symptoms)\n* Data collection from medical record', 'interventionNames': ['Other: Supportive Oncology Care at Home']}

Interventions:
- {'type': 'OTHER', 'name': 'Supportive Oncology Care at Home', 'description': 'Remote monitoring of symptoms, vital signs, and body weight with home-based care to address any concerning issues identified.', 'armGroupLabels': ['Supportive Oncology Care at Home']}
- {'type': 'OTHER', 'name': 'Usual Care', 'description': 'Standard care arm will receive standard oncology care and attend regular clinic visits.', 'armGroupLabels': ['Usual Care']}

Primary Outcomes:
- {'measure': 'Proportion of participants requiring a hospital admission or emergency department visit', 'description': "Compare the difference between study arms using Fisher's exact tests, and logistic regression, adjusted for any potential confounders that are imbalanced between the two groups at baseline (e.g. age, gender).", 'timeFrame': 'baseline to 6 months'}

Please estimate the sample size based on the assumption: 
80% power, 5% two-sided type 1 error, no missing data, intention-to-treat principle
Sample size calculation
          The primary endpoint of the proposed study is a comparison of the proportion of patients requiring a hospital admission or ED visit during the study period between the study groups. Enrolling 300 patients, or 150 per arm, will provideâ>â80% power to detect a 15% difference between arms, assuming the rate in the control arm is 55% (based on our experience in the pilot study and prior published literature), with a 5% two-sided type 1 error. A 15% difference in the proportion of patients requiring a hospital admission or ED visit represents a clinically important difference, consistent with other practice-changing supportive care interventions in oncology [32, 39â41]. We had no missing data on healthcare utilization in our pilot work as these patients are receiving care at our institution, and we will use the intention-to-treat principle with all randomized subjects.