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Aim: To assess the feasibility of collecting electronic pain data from thalassaemia patients, based on its acceptability and convenience to the participants and study team., Methods: Participants in the Thalassemia Clinical Research Network Assessment of Pain Survey Study completed the Brief Pain Inventory (BPI) quarterly by paper or phone interview. Participants in a substudy completed the BPI Short Form daily over three non-consecutive transfusion cycles through an automated telephone system., Results: The consent rate for the main study was 93%, with 93% retention. The substudy had 75% retention, with more than 75% of scheduled calls completed. Regular monitoring of enrollment, missed calls, data quality, and the performance of the subcontractor for the automated system was crucial to fulfillment of the study goals., Conclusions: Use of electronic data collection for patient-reported outcomes was convenient for both patients and study personnel but required human interactions beyond the automated system to maximise data quantity and quality.

Aim: To assess the feasibility of collecting electronic pain data from thalassaemia patients, based on its acceptability and convenience to the participants and study team. Methods: Participants in the Thalassemia Clinical Research Network Assessment of Pain Survey Study completed the Brief Pain Inventory (BPI) quarterly by paper or phone interview. Participants in a substudy completed the BPI Short Form daily over three non-consecutive transfusion cycles through an automated telephone system. Results: The consent rate for the main study was 93%, with 93% retention. The substudy had 75% retention, with more than 75% of scheduled calls completed. Regular monitoring of enrolment, missed calls, data quality, and the performance of the subcontractor for the automated system was crucial to fulfillment of the study goals. Conclusions: Use of electronic data collection for patient-reported outcomes was convenient for both patients and study personnel but required human interactions beyond the automated system to maximise data quantity and quality. [ABSTRACT FROM AUTHOR]