Application of Information Technology: Evaluation of an Online Platform for Cancer Patient Self-reporting of Chemotherapy Toxicities

نویسندگان

  • Ethan Basch
  • David Artz
  • Alexia Iasonos
  • John Speakman
  • Kevin Shannon
  • Kai Lin
  • Charmaine Pun
  • Henry Yong
  • Paul Fearn
  • Allison Barz
  • Howard I. Scher
  • Mary McCabe
  • Deborah Schrag
چکیده

The current mechanism for monitoring toxicity symptoms in cancer trials depends on a complex paper-based process. Electronic collection of patient-reported outcomes (PROs) may be more efficient and accurate. An online PRO platform was created including a simple data entry interface, real-time report generation, and an alert system to e-mail clinicians when patients self-report serious toxicities. Feasibility assessment involving 180 chemotherapy patients demonstrated high levels of use at up to 40 follow-up clinic visits per patient over 16 months (85% of patients at any given visit), with high levels of patient and clinician acceptance and satisfaction (>95%). Alerts were used as the basis for delayed chemotherapy treatments, dose modifications, and scheduling changes. These results demonstrate that online patient-reporting is a feasible strategy for chemotherapy toxicity symptom monitoring, and may improve safety and satisfaction with care. Ongoing multi-center research will evaluate the impact of this approach on clinical and administrative outcomes.

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عنوان ژورنال:
  • Journal of the American Medical Informatics Association : JAMIA

دوره 14 3  شماره 

صفحات  -

تاریخ انتشار 2007