Comparing tailored computerized symptom assessments to interviews and questionnaires

Area of Science:

• Oncology
• Medical Informatics
• Patient-Reported Outcomes

Background:

• Accurate symptom assessment is crucial for effective cancer care and treatment management.
• Traditional methods like interviews and questionnaires have limitations in capturing the full spectrum and nuances of patient symptoms.
• Digital health tools offer potential for improving the efficiency and precision of symptom data collection.

Purpose of the Study:

• To evaluate the performance of a computerized symptom assessment tool, Choice, against standard interview and questionnaire methods.
• To determine if Choice improves the number, precision, and focus on bothersome symptoms in cancer patients.
• To explore the impact of interface and symptom structure on patient symptom reporting.

Main Methods:

• A comparative study involving 92 cancer patients.
• Performance evaluation of the Choice tool versus traditional interviews and questionnaires.
• Analysis of symptom number, precision, and focus on bothersome symptoms.

Main Results:

• Choice demonstrated superior performance over interviews in the number and precision of reported symptoms.
• Choice showed better results than questionnaires in focusing on bothersome symptoms.
• High correlations were observed between the Choice tool and questionnaires, suggesting comparable data capture for certain aspects.

Conclusions:

• Computerized symptom assessment tools like Choice can enhance the accuracy and relevance of patient-reported symptoms in oncology.
• The design of the tool's interface and its symptom structure are critical factors influencing its effectiveness.
• Choice represents a promising advancement in patient-reported outcome measures for cancer care.