Short and multidimensional with the aim of improving mental health care and adherence to medications.
The data collected on this website are de-identified and will be used to improve our product and provide better service to our users.
We strive to reflect the diversity of the communities we serve by developing cross cultural and minority-based norms.
Our goal is to apply machine learning to improve the accuracy and predictive utility of the CAP-Q to improve patient outcomes
Neuropsychologist with over 30 years experience in test development and assessment. He has published more than 50 peer-reviewed publications
Clinical psychologist and health promotion researcher with over 25 years of experience with particular expertise in the area of medication adherence.
Strategic Advisor with experience in technology-intensive FDA-regulated software innovation. Tel Aviv University
The CAP-Q is a computerized self-report questionnaire related to emotional functioning. It is designed to assist mental health professionals with diagnosis and treatment planning. It takes approximately 15-minutes to complete. Answer the questions as honestly as you can. There are no right or wrong answers. Sometimes, you might find the questions do not apply to you. Nevertheless, answer these questions as best as you can. Your record does not include any identifiable information. Your de-identified data will be used to improve the accuracy and predictive value of the CAP-Q.
Our team is composed of researchers, clinicians, and data scientists. Feel free to contact us if you have any questions.
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