OBJECTIVES Lack of adherence and persistence can be major barriers to treatment efficiency in real world, for many chronic diseases. Measuring patients’ acceptance of their medication is thus gaining importance as it is likely to help better understand and predict patients’ behavior towards treatment. The generic ACCEptance by the Patients of their Treatment (ACCEPT) questionnaire was developed to measure patients’ acceptance of their medication. The objective of this study was to evaluate for a variety of diseases the level of acceptance in real life using a patient online community. METHODS This study was observational, cross-sectional, conducted through the French Carenity platform. All patients connected were invited to complete an online questionnaire including demographics, chronic disease and treatment, and the 25 ACCEPT items. ACCEPT includes 6 multi-item acceptance dimensions (Medication Inconvenience, Long-term Treatment, Regimen Constraints, Side Effects, Effectiveness and General; range 0-100; higher score=greater acceptance) and one single-item acceptance dimension (Numerous Medications; range 1-3). Patients included in the analysis were suffering from any chronic diseases with at least 50 respondents and currently receiving a treatment for this disease. RESULTS Responding patients had breast cancer (n=57), type 1 diabetes (n=101), type 2 diabetes (n=213), fibromyalgia (n=135), rheumatoid arthritis (n=98), multiple sclerosis (n=260), ankylosing spondylitis (n=134) or bipolar disorder (n=65). Most respondents were female (49% to 100%), with mean age 44 to 61. Mean (SD) ACCEPT General score was: 36 (33) for breast cancer, 64 (31) for type 1 diabetes, 54 (32) for type 2 diabetes, 35 (31) for fibromyalgia, 39 (31) for rheumatoid arthritis, 50 (31) for multiple sclerosis, 34 (33) for ankylosing spondylitis and 45 (33) for bipolar disorder. CONCLUSIONS This study enabled ACCEPT data to be collected in real life for a variety of chronic diseases. These data can be of major interest to help evaluating and interpreting level of acceptance in future studies.