Implementing Symptom Management Follow-up Using an Electronic Patient-Reported Outcome Platform in Outpatients With Advanced Cancer: Longitudinal Single-Center Prospective Study

Lili Tang; Yi He; Ying Pang; Zhongge Su; Jinjiang Li; Yening Zhang; Xu Wang; Xinkun Han; Yan Wang; Zimeng Li; Shuangzhi He; Lili Song; Yuhe Zhou; Bingmei Wang; Xiumin Li

doi:10.2196/21458

Implementing Symptom Management Follow-up Using an Electronic Patient-Reported Outcome Platform in Outpatients With Advanced Cancer: Longitudinal Single-Center Prospective Study

JMIR Form Res. 2022 May 10;6(5):e21458. doi: 10.2196/21458.

Authors

Lili Tang^#¹, Yi He^#¹, Ying Pang¹, Zhongge Su¹, Jinjiang Li¹, Yening Zhang¹, Xu Wang², Xinkun Han¹, Yan Wang¹, Zimeng Li¹, Shuangzhi He¹, Lili Song¹, Yuhe Zhou¹, Bingmei Wang¹, Xiumin Li¹

Affiliations

¹ Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Psycho-oncology, Peking University Cancer Hospital & Institute, Beijing, China.
² ePRO Vision, Health Technology Co, Ltd, Beijing, China.

^# Contributed equally.

PMID: 35536608
PMCID: PMC9131147
DOI: 10.2196/21458

Abstract

Background: Patients with cancer experience multiple symptoms related to cancer, cancer treatment, and the procedures involved in cancer care; however, many patients with pain, depression, and fatigue, especially those outside the hospital, receive inadequate treatment for their symptoms. Using an electronic patient-reported outcome (ePRO) platform to conduct symptom management follow-up in outpatients with advanced cancer could be a novel and potentially effective approach. However, empirical evidence describing in detail the preparation and implementation courses in a real setting is needed.

Objective: The purpose of this paper was to describe the implementation process and evaluation of an ePRO platform that facilitates symptom management for patients with cancer, share our experiences and the problems we encountered during the process of implementation, and share the solutions we identified for those problems. Moreover, we tested the feasibility, safety, and efficacy of the ePRO platform.

Methods: This was a real-world, ongoing, longitudinal, single-center, prospective study with a total of 7 follow-ups conducted within 4 weeks after the first visit to the symptom management clinic (on days 1, 3, 7, 10, 14, 21, and 28). Participants were encouraged to complete scales for physical symptoms (pain, fatigue, and shortness of breath), cognitive symptoms (memory problems and impaired concentration), and affective symptoms (especially depression and anxiety) during follow-up. The design and function of the ePRO-doctor client and ePRO-patient client, the patient-reported outcome (PRO) scales used in the study, and the strategies to promote symptom tracking have been described. Moreover, the training and evaluation for research assistants have been presented. The efficacy of the ePRO platform was assessed with a comparison of the baseline and 4-week outcomes on the MD Anderson Symptom Inventory.

Results: Using the ePRO platform for symptom management follow-ups in advanced cancer patients was associated with a high completion rate (72.7%-86.4%) and a low drop-off rate (23.6%). The ePRO platform sent 293 alert notifications to both patients and doctors, which promoted patient security. The short and sharp PRO tool selection, user-friendly interface, automatic reminder notifications and alerts, and multiple dimensional training were essential components for the preparation and implementation of the ePRO system. The results showed significant improvements in the mean scores of pain, fatigue, and numbness from baseline to day 28 (P=.02, P=.02, and P<.001, respectively).

Conclusions: The use of an ePRO platform for symptom management follow-ups in advanced cancer patients is time-saving, energy-saving, and effective. PRO tool selection, platform design, and training of research assistants are important aspects for implementation. Future research should validate the ePRO platform in a larger randomized controlled study.

Keywords: advanced cancer; electronic patient-reported outcome; follow-up; outpatient; symptom management.

©Lili Tang, Yi He, Ying Pang, Zhongge Su, Jinjiang Li, Yening Zhang, Xu Wang, Xinkun Han, Yan Wang, Zimeng Li, Shuangzhi He, Lili Song, Yuhe Zhou, Bingmei Wang, Xiumin Li. Originally published in JMIR Formative Research (https://formative.jmir.org), 10.05.2022.