Published on in Vol 11 (2025)

This is a member publication of University of Pittsburgh

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/62711, first published .
Design and Use of Patient-Facing Electronic Patient-Reported Outcomes and Sensor Data Visualizations During Outpatient Chemotherapy

Design and Use of Patient-Facing Electronic Patient-Reported Outcomes and Sensor Data Visualizations During Outpatient Chemotherapy

Design and Use of Patient-Facing Electronic Patient-Reported Outcomes and Sensor Data Visualizations During Outpatient Chemotherapy

Department of Medicine, University of Pittsburgh, Suite 5002, 5051 Centre Avenue, Pittsburgh, PA, United States

Corresponding Author:

Carissa A Low, PhD




Chemotherapy can cause significant symptoms that impact the quality of life [1]. Although electronic patient-reported outcome (ePRO) systems for collecting symptom ratings from patients have become increasingly common in cancer care, most of these are designed for clinicians, and fewer than half share data visualizations with the patients [2,3]. Visualization of ePRO and other data (eg, wearable device data) may help patients undergoing cancer treatment find patterns that help them to prepare for future treatment cycles, manage side effects, and have productive conversations with clinicians [4,5].

As part of a prospective longitudinal National Cancer Institute–funded study to develop a remote symptom monitoring system during chemotherapy [6], we created mobile-friendly web visualizations of each patient’s daily symptom ratings and wearable device data (Figure 1). The aim of this paper is to describe patterns of use of these novel visualizations.

Figure 1. Visualizations of daily symptom ratings and wearable data with self-care resources.

Recruitment and Study Design

Participants undergoing chemotherapy for any solid tumor and who owned smartphones were recruited from oncology clinics at a single academic center in Pittsburgh, Pennsylvania. During the study, the participants wore a Fitbit device (Inspire; Google LLC) and reported 16 symptoms commonly experienced during chemotherapy (eg, nausea, fatigue) daily, using the patient-reported version of the Common Terminology Criteria for Adverse Events [7]. The website also included evidence-based symptom self-management resources as described by Donovan et al [8].

At the time of enrollment, we provided each patient with a personalized link to their real-time visualizations; however, no instructions about viewing frequency for the visualizations or usage reminders were given during the study. At the end of the 3-month study, 141 patients completed an electronic- or paper-based 11-question survey (mean completion time was 5 min) to assess whether they used the visualizations, frequency of use, helpful information, and suggestions for improvement. Data were collected between February 2022 and April 2024.

Ethical Considerations

The University of Pittsburgh’s Institutional Review Board approved all study activities (19070011). At the time of enrollment, all participants provided informed written consent. All data were stored in secure locations and identified only by anonymized study ID numbers. Participants received US $100 and could keep the Fitbit device (estimated value $100).


Characteristics of the participants can be found in Table 1. Survey respondents were heterogeneous in age (mean 61, SD 12; range 29-92 years), race (113/141, 80% White; 28/141, 20% other races), and cancer stage (75/135, 56% stage IV). Approximately half (76/141, 54%) of the participants accessed the link to their data visualizations. Participants with non-binary gender (n=1, 0.7%) and unknown cancer stage (n=6, 4.3%) were excluded from χ2 analysis while comparing participants who accessed their visualizations. There were no significant differences between the participants who clicked on the link and those who did not during the study in terms of mean age (P=.74), gender (P=.66), race (P=.50), or cancer stage (P=.31). Of those who accessed the platform, most (54%, 41/76) viewed it a few times (ie, less than monthly), while 13% (10/76) used it daily. The 10 daily users were within 3 months of starting chemotherapy for the first time. Most participants (58/75, 77%) found the visualizations somewhat or very helpful/informative. Few participants shared their data with family members or friends (11/141, 8%) and with others (2/141, 1%); none shared data with their providers or other patients. Participant–suggested improvements included reminders to view graphs and the ability to enter treatment and surgery dates.

Table 1. Participant characteristics.
CharacteristicsOverall (N=141)Did not click the link (n=65)Clicked the link (n=76)Test statistic (df)aP value
Age (years), mean (SD)61 (12)61 (13)60 (11)t (130.1)=0.68.74
Gender, n (%)χ2(1)=0.2.66b
 Female94 (66.7)45 (69.2)49 (64.5)
 Male45 (31.9)19 (29.2)26 (34.2)
 Non-binary1 (0.7)0 (0)1 (1.3)
 Unknown1 (0.7)1 (1.5)0 (0)
Race, n (%)χ2(1)=0.45.5
 White113 (80.1)50 (76.9)63 (82.9)
 Othersc28 (19.8)15 (23.1)13 (17.1)
Stage IV cancer, n (%)χ2(1)=1.04.31d
 Yes75 (53.2)39 (60.0)36 (47.4)
 No60 (42.5)25 (38.5)35 (46.0)
 Unknown6 (4.3)1 (1.5)5 (6.6)

aWelch two sample t-test and Pearson’s χ2 test were used, as appropriate; degrees of freedom (df) are provided in parentheses.

bParticipants with non-binary or unknown gender were excluded from this test.

cOther race category included Black or African-American (n=24), Asian (n=2), and more than one race (n=2).

dParticipants with unknown cancer stage were excluded from this test.


Overview

Providing real-time visualizations of ePRO and activity data throughout chemotherapy may help patients anticipate and manage symptoms effectively and potentially identify patterns between activity or other sensor data and symptoms. These preliminary findings suggest that patients are motivated to view their data, and these visualizations were accessible to patients of different ages, races, and cancer stages. Daily users, who were mostly new to chemotherapy, may have higher levels of anxiety and a greater need for health information [9]. Future studies should investigate the potential benefits of patient-facing visualizations for patients beginning chemotherapy.

Limitations

The visualizations and other website content were developed as part of an ancillary project in an ongoing study, and participants received no instructions or reminders regarding website usage. Survey respondents represented a subset (141/158, 89%) of participants, who received personalized visualizations, and the results may be influenced by selection, response, and recall biases.

Conclusion

This study describes initial efforts to share real-time ePRO and wearable device data visualizations with patients undergoing chemotherapy. Further research is needed to improve the usability of data visualizations and evaluate their impact on symptom management, self-efficacy, and other outcomes.

Conflicts of Interest

None declared.

  1. Reilly CM, Bruner DW, Mitchell SA, et al. A literature synthesis of symptom prevalence and severity in persons receiving active cancer treatment. Support Care Cancer. Jun 2013;21(6):1525-1550. [CrossRef] [Medline]
  2. Jensen RE, Gummerson SP, Chung AE. Overview of patient-facing systems in patient-reported outcomes collection: focus and design in cancer care. J Oncol Pract. Oct 2016;12(10):873-875. [CrossRef] [Medline]
  3. Warrington L, Absolom K, Conner M, et al. Electronic systems for patients to report and manage side effects of cancer treatment: systematic review. J Med Internet Res. Jan 24, 2019;21(1):e10875. [CrossRef] [Medline]
  4. Chen L, Bartel C, Cai X, et al. Patient and provider perspectives on symptom monitoring during outpatient chemotherapy: interview study. JMIR Form Res. Apr 17, 2023;7:e46001. [CrossRef] [Medline]
  5. Ruzich E, Ritchie J, Ginchereau Sowell F, et al. A powerful partnership: researchers and patients working together to develop a patient-facing summary of clinical trial outcome data. J Am Med Inform Assoc. Jan 18, 2024;31(2):363-374. [CrossRef] [Medline]
  6. McClaine S, Fedor J, Bartel C, Chen L, Durica KC, Low CA. Engagement with daily symptom reporting, passive smartphone sensing, and wearable device data collection during chemotherapy: longitudinal observational study. JMIR Cancer. Dec 10, 2024;10:e57347. [CrossRef] [Medline]
  7. Dueck AC, Mendoza TR, Mitchell SA, et al. Validity and reliability of the US National Cancer Institute’s Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE). JAMA Oncol. Nov 2015;1(8):1051-1059. [CrossRef] [Medline]
  8. Donovan HS, Sereika SM, Wenzel LB, et al. Effects of the WRITE symptoms interventions on symptoms and quality of life among patients with recurrent ovarian cancers: an NRG oncology/GOG Study (GOG-0259). J Clin Oncol. May 1, 2022;40(13):1464-1473. [CrossRef] [Medline]
  9. Lim CC, Devi MK, Ang E. Anxiety in women with breast cancer undergoing treatment: a systematic review. Int J Evid Based Healthc. Sep 2011;9(3):215-235. [CrossRef] [Medline]


ePRO: electronic patient-reported outcomes


Edited by Naomi Cahill; submitted 31.05.24; peer-reviewed by Katell Le Du, Liv Marit Valen Schougaard; final revised version received 03.12.24; accepted 04.12.24; published 10.01.25.

Copyright

© Christianna Bartel, Leeann Chen, Weiyu Huang, Qichang Li, Qingyang Li, Jennifer Fedor, Krina C Durica, Carissa A Low. Originally published in JMIR Cancer (https://cancer.jmir.org), 10.1.2025.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Cancer, is properly cited. The complete bibliographic information, a link to the original publication on https://cancer.jmir.org/, as well as this copyright and license information must be included.