Published on in Vol 11 (2024)

This is a member publication of University of Toronto

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57984, first published .
User-Centered Design and Usability of Voxe as a Pediatric Electronic Patient-Reported Outcome Measure Platform: Mixed Methods Evaluation Study

User-Centered Design and Usability of Voxe as a Pediatric Electronic Patient-Reported Outcome Measure Platform: Mixed Methods Evaluation Study

User-Centered Design and Usability of Voxe as a Pediatric Electronic Patient-Reported Outcome Measure Platform: Mixed Methods Evaluation Study

Original Paper

1Child Health Evaluative Sciences, Research Institute, Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, ON, Canada

2Transplant and Regenerative Medicine Centre, The Hospital for Sick Children, Toronto, ON, Canada

3Factor-Inwentash Faculty of Social Work, University of Toronto, Toronto, ON, Canada

4Comprehensive Hemophilia Care Clinic, Children's Hospital of Eastern Ontario, Ottawa, ON, Canada

5Department of Pediatrics, University of Ottawa, Ottawa, ON, Canada

6The Data Aggregation, Translation and Architecture (DATA) Team, University Health Network, Toronto, ON, Canada

7Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada

8Department of Psychiatry, University of Toronto, Toronto, ON, Canada

9Lawrence S Bloomberg Faculty of Nursing, University of Toronto, Toronto, ON, Canada

10Department of Computer Science, University of Toronto, Toronto, ON, Canada

Corresponding Author:

Samantha J Anthony, MSW, PhD

Child Health Evaluative Sciences

Research Institute, Peter Gilgan Centre for Research and Learning

The Hospital for Sick Children

686 Bay Street

Toronto, ON, M5G 0A4

Canada

Phone: 1 416 813 7654 ext 303126

Email: samantha.anthony@sickkids.ca


Background: Electronic patient-reported outcome measures (ePROMs) are standardized digital instruments integrated into clinical care to collect subjective data regarding patients’ health-related quality of life, functional status, and symptoms. In documenting patient-reported progress, ePROMs can guide treatment decisions and encourage measurement-based care practices. Voxe is a pediatric and user-centered ePROM platform for patients with chronic health conditions.

Objective: We aimed to describe the user-centered design approach involving feedback from end users and usability testing of Voxe’s platform features to support implementation in a pediatric health care setting.

Methods: Purposive sampling was used to recruit patients aged 8-17 years from 2 chronic illness populations in 2 pediatric hospitals in Canada. Patients’ health care team members were also purposively recruited. One-on-one iterative testing sessions were conducted digitally by research team members with participants to obtain feedback on the appearance and functionalities of the Voxe platform prototype. Patients and health care providers (HCPs) completed Voxe-related task-based activities. International Organization for Standardization key performance indicators were tracked during HCP task-based activities. HCPs also completed the System Usability Scale. To test platform usability, the think-aloud technique was used by participants during the completion of structured tasks. After completing all task-based activities, patient participants selected 5 words from the Microsoft Desirability Toolkit to describe their overall impression and experience with the Voxe platform. Qualitative data about likes, dislikes, and ease of use were collected through semistructured interviews. Feedback testing sessions were conducted with patients and HCPs until Voxe was acceptable to participating end users, with no further refinements identified. Quantitative and qualitative data analysis were completed using descriptive statistics and content analysis.

Results: A total of 49 patients and 38 HCPs were recruited. Patients were positive about Voxe’s child-centered design characteristics and notification settings. HCPs rated Voxe as user-friendly and efficient, with the time to complete tasks decreasing over time. HCPs were satisfied with the Voxe platform functionalities and identified the value of Voxe’s system notifications, summarized display of ePROM results, and its capacity to integrate with electronic medical records. Patients’ and HCPs’ high satisfaction rates with the Voxe prototype highlight the importance of being responsive to user suggestions from the inception of eHealth platform developments to ensure their efficient and effective design.

Conclusions: This paper describes the user-centered creation and usability testing of Voxe as an ePROM platform for implementation into clinical care for pediatric patients with chronic health conditions. As a patient-facing platform that can be integrated into electronic medical records, Voxe aligns with measurement-based care practices to foster quality patient-centered approaches to care. End users’ positive feedback and evaluation of the platform’s user-friendliness and efficiency suggest that Voxe represents a valuable and promising solution to systematically integrate patient-related outcome (PRO) data into complex and dynamic clinical health care settings.

International Registered Report Identifier (IRRID): RR2-10.1136/bmjopen-2021-053119

JMIR Hum Factors 2024;11:e57984

doi:10.2196/57984

Keywords



Patient-Reported Outcome Measures

Patient-reported outcome measures (PROMs) are gaining significant momentum in clinical practice and research to foster a patient-centered approach to health care delivery [1-4]. PROMs are questionnaires used to collect subjective information directly from the patient regarding their health-related quality of life (HRQoL), functional status, and symptoms [5,6]. By directing the foci of clinical encounters, PROMs can facilitate early detection and monitoring of patient symptoms, empower patients to actively participate in their care, enhance health care providers’ (HCPs) understanding of patient needs, and influence joint discussions with patients about health outcome priorities [3,4]. In documenting patient-reported progress, PROMs can guide treatment decisions, positively influence patient outcomes [7], and encourage measurement-based care practices [8].

Despite the proposed value of PROMs, low PROM adoption rates have been attributed to factors related to the completion of paper-based PROMs, including limited time and resources among clinicians and low response rates from patients [4]. Digital electronic PROMs (ePROMS) have been designed to overcome cited barriers and to improve PROM data quality and completion time [1,9]. Many benefits have been documented such as greater patient preference and acceptability, higher data quality and response rates, and reduced health care costs [1]. Currently, platforms used for ePROM collection (eg, REDCap [Research Electronic Data Capture]) primarily target the clinical care of adults [9-11], with few designed specifically for the clinical management of children’s physical, social, and emotional health [4,10,12-14]. The lack of child-friendly and age-appropriate ePROM platforms needs addressing as children as young as 5 have shown capacity to self-report on their HRQoL [15], and 8 years of age is the recommended age to administer self-reported measures to children [10]. In the context of limited pediatric ePROM platforms, and with considerations around regulatory data privacy and management guidelines, secure servers for data storage and timely, responsive administrative and technical support [16,17], the development of new evidence-based platforms that enhance eHealth solutions for pediatric care should be prioritized.

User-Centered Design

User-centered design (UCD) is a popular design approach for developing eHealth innovations, including ePROM platforms [18]. When applying a UCD approach to optimize usability, compliance, and adoption of ePROM platforms, end users (ie, patients and HCPs) and key stakeholders (eg, decision- and policy-makers) are involved in the platform design processes [9,19,20]. Specifically, UCD outlines that (1) designers should understand end users and user-specific tasks, and (2) design processes are iterative to involve multiple cycles of design, testing, and redesign [21]. With attention to these parameters, using a UCD approach to eHealth platform development can create technologies that are meaningful, manageable, and sustainable for their user and organizational health care systems, potentially impacting the implementation success of eHealth solutions [22,23].

Voxe

Voxe is a pediatric, user-centered, and custom-built ePROM platform that is a progressive web application designed to integrate PROMs into the delivery of clinical care for pediatric patients with chronic health conditions [24]. Despite the profound and multidimensional impact of chronic disease on children’s HRQoL, objective outcome metrics (eg, morbidity and mortality) alone are frequently used to determine the success of clinical interventions and care [25,26]. Given the paucity of child-oriented ePROM platforms in health care [27,28], Voxe represents a novel and child-friendly ePROM platform to facilitate the systematic integration of children’s subjective evaluations regarding their physical, social, and emotional well-being in the delivery of care [24]. The advantages to having a custom-built progressive web application are (1) the ability to tailor the user experience specifically for pediatric patients, (2) to seamlessly integrate Voxe into the clinical workflow to reduce the barrier to ePROM completion, and (3) to ensure that Voxe is compatible with various electronic devices (eg, mobile phones, tablets, and computers). Additional distinguishing features include Voxe’s capacity to incorporate any PROM, its capability to be created in different languages and its potential to integrate with any electronic medical record (EMR). Notably, for the purpose of Phase 5, Voxe was integrated with the EMR Epic.

Objectives

Building on previously completed phases of Voxe’s development (Figure 1) [25,29], this paper outlines Voxe’s user-centered design approach (Phase 4) involving feedback from end users at 2 pediatric hospitals in Canada and subsequent usability testing (Phase 5) specific to Voxe’s platform features. The discussion will highlight our user-centered approach as a strength in prioritizing end user needs prior to Voxe’s implementation within a pediatric health care setting.

Figure 1. Overview of key phases involved in Voxe’s development.

Study Participants and Inclusion Criteria

Purposive sampling was used to recruit patients followed by The Hospital for Sick Children (SickKids) Transplant and Regenerative Medicine Centre (TRMC) or Hematology and Oncology program at the Children’s Hospital of Eastern Ontario (CHEO) across age, diagnosis, sex, gender, and ethnicity. Members of the patients’ interdisciplinary health care teams at SickKids and CHEO were also purposively recruited across professional disciplines, years of practice, sex, gender, and ethnicity.

Patients were eligible if they met the following criteria: (1) heart, kidney, liver, or lung transplant recipients who were a minimum of 3 months posttransplant (SickKids) or followed by the Hematology and Oncology program (CHEO); (2) between 8 and 17 years of age; and (3) able to speak and read in English. Patients with significant cognitive impairments, as determined by a health care team member, were not eligible to participate. Eligible HCPs included any member of the interdisciplinary teams within the Hematology and Oncology program (CHEO; Phase 4) or the TRMC (SickKids; Phases 4 and 5).

Ethical Considerations

Ethical approval to conduct this study was obtained from the Institutional Research Ethics Board at SickKids (1000057043 for Phase 4 and 1000067700 for Phase 5). All participants provided informed consent prior to their involvement in this study, and interview transcripts were deidentified. All participants received a $20 retail store gift card upon completion of study participation.

Phase 4: Generation of the Voxe ePROM Platform

Overview

Previously completed phases of Voxe’s development process (Phases 1-3) [30,31] informed the design of preliminary Voxe wireframes. The PedsQL Generic Core Scales [32] were selected as the first ePROM to be designed within Voxe as it is considered the most widely used generic HRQoL pediatric PROM [33]. Voxe wireframes depicting the PedsQL Generic Core Scales adhere to the requirements noted in the e-Booklet for the Electronic Implementation of the PedsQL Generic Core Scales [34] and were reviewed personally by the lead original developer of the PedsQL.

Key stakeholders (eg, decision- and policy makers) were also consulted to identify Voxe users (ie, patients and HCPs) and the possible tasks end users would complete (ie, persona and task inventory development). Following the design of preliminary wireframes, a rapid and iterative testing methodology was used to evaluate and improve Voxe prior to its full development and launch [35]. Through a user-centered approach, one-on-one iterative testing sessions were conducted virtually with patients and HCPs by a member of the research team (SJP, SD) to elicit feedback on Voxe design features.

Patient features identified within Voxe for feedback included: (1) account personalization options, (2) text and email notifications, and (3) the display of Voxe ambassador GIFs. First, after registering for a Voxe account, patients have the option to personalize their account by selecting: (1) 1 of 6 accent colors which populate the header and buttons in the patient’s portal and (2) 1 of 6 prebuilt avatars or a custom-built avatar. Figure 2 presents the Voxe Patient Registration (A) and Personalization (B, C) screens. Second, Voxe allows patients to opt for text or email reminder notifications to complete the ePROMs on their preferred device (ie, mobile phone, tablet, or computer). Notifications are delivered by Voxe at 7 and 3 days in advance of clinic appointments. Third, following registration on Voxe and completion of each ePROM, the Voxe ambassador is displayed as a GIF (ie, animated avatar) on the platform. Figure 2 illustrates a still image of one of the Voxe ambassador GIFs (D) on a screen.

Figure 2. Examples of the Voxe Patient Registration (A), Personalization (B, C), and Ambassador GIF (D) Screens.

HCP features-of-use identified within Voxe for feedback included (1) the integration of Voxe with the EMR, (2) system (Epic) notifications of patient Voxe completion, and (3) a presentation view in Voxe to visualize trends in ePROM results over time. Notably, Voxe’s presentation screen was designed for HCPs to show patients a high-level summary of their ePROM results through graphs specific to each domain or summary score, depending on the ePROM. Table 1 summarizes patient and HCP features in Voxe.

Table 1. Patient and HCPa features in Voxe.
Patient featuresHCP features
Account personalization: select accent color, select a prebuilt avatar, and custom-build an avatarVoxe integration with the EMRb
Text or email reminder notifications to complete ePROMscSystem notifications of patient Voxe completion
Display of Voxe ambassador GIF (ie, animated avatar) following registration and ePROM completionPresentation view in Voxe to visualize trends in ePROM results over time

aHCP: health care provider.

bEMR: electronic medical record.

cePROM: electronic patient-reported outcome measure.

Data Collection

Both patient and HCP participants completed task-based activities pertaining to the Voxe platform. Examples of tasks patients completed include: “This is your first time using Voxe. What would you click on to begin creating your profile?”; “What would you do if you wanted to pick a different colour?”; “You are doing the survey and let's assume you wanted to go back to a previous question. What would you click?” HCPs completed tasks such as “Let's assume that you need to view the patient’s PedsQL results from May 24, 2019. What would you click to access their past PROM results?”; “Let's now pretend you want to compare the patient’s PedsQL results between January 2019-June 2019 only. Where would you click to do this?”; “Voxe has a patient-friendly presentation feature to show patients their results during clinic and invite better conversation. Click where you would go to show the patient their patient-friendly overview of their results.” During HCP task-based activities, International Organization for Standardization key performance indicators (KPIs) were tracked, as KPIs are deemed essential for evaluating the introduction of a novel technology, technique, or process [36,37]. Objective and subjective standards common in user experience design testing [38] were collected to measure (1) effectiveness—accuracy and completeness with which users achieve specific goals, displayed as a percentage of tasks successfully completed by users, and (2) efficiency—resources used in relation to results achieved, represented by the time it takes users to complete standard tasks successfully [39].

Following the completion of task-based activities, HCP participants completed the System Usability Scale (SUS), a 10-item Likert scale questionnaire to assess the KPI satisfaction [40,41]. The SUS is considered a reliable way to evaluate electronic platforms, in which a score of 68 is considered above average [40,41]. Following the completion of task-based activities, patient participants selected 5 words from a list of product reaction words outlined by the Microsoft Desirability Toolkit [42] (eg, creative, easy, and friendly) to describe their overall impression and experience with the Voxe platform.

Qualitative data were collected through semistructured interviews during which participants shared their likes and dislikes of the Voxe platform design and commented on the platform’s ease of use and elements of functionality. Interviews were audio-recorded, transcribed verbatim, and deidentified.

Phase 5: Usability Testing of the Voxe ePROM Platform

Overview

To test the usability of the Voxe platform, the think-aloud technique was used in which participants verbalized their thoughts and feelings while interacting with Voxe to complete structured tasks [43,44]. The think-aloud technique is a well-known, formative usability testing approach to identify usability issues in the user interface designs of technologies such as ePROM platforms [45-47]. The think-aloud technique was integral to understanding the end user experience with Voxe and highlighting potential barriers to Voxe adoption that will inform its subsequent implementation [43,44].

Data Collection

Following the development of interfaces of the Voxe ePROM platform for patients and HCPs, one-on-one iterative testing sessions were conducted virtually by research team members (SJP, AD, MA, SD, and SO) with patient and HCP participants. The purpose of the testing sessions was to obtain patients’ and HCPs’ feedback on the appearance and functionalities of the Voxe platform prototype.

During the first 2 testing rounds, patient participants were asked to complete a core set of tasks on Voxe, which were presented to them in the form of scenarios that they may encounter while interacting with Voxe. Examples of tasks patients completed include: “This is your first time using Voxe. Please make an account, enter a phone number and log into your account.”; “How would you set your profile colour as yellow?”; “A few weeks have passed since your appointment at the hospital. During your appointment your nurse mentioned you can see a summary of your results to the PROMs you answered earlier on Voxe. How would you view your results from surveys you have completed?” The last 2 testing rounds were conducted to simulate “real-world” settings. An automated text message or email with an embedded hyperlink was sent to patients asking them to access Voxe remotely on a smartphone, tablet, or computer. Patients independently logged into Voxe using an anonymous username and password and navigated the platform to complete the ePROMs.

HCP participants accessed Voxe on a computer to complete a core set of tasks which simulate scenarios they may encounter while using Voxe in clinical practice. HCPs completed tasks such as “Click where you would go to view the patient’s PedsQL results”; “Let's assume that you need to view the patient’s PedsQL results from an earlier date. What would you click to access patient’s past PROM results?”; “You are now meeting with the patient in clinic and would like to show them a quick summary of their PedsQL results. Click where you would go to share an overview of their results.” Using think-aloud methodology, patient and HCP participants voiced out loud what they were looking at, thinking, doing, and feeling as they navigated the platform [43,48].

After completing task-based activities, patient participants selected 5 words from the Microsoft Desirability Toolkit [42] to describe their overall impression and experience with the Voxe platform. Qualitative data were collected through semistructured interviews to elicit information on what patient and HCP participants liked or disliked and why, the ease of use, elements of functionality in the context of typical practice workflow, and suggestions for improvements. Interviews were audio-recorded, transcribed verbatim, and deidentified. Rounds of iterative feedback testing were conducted with each participant population until Voxe was considered acceptable to participating end users with no further refinements identified [49-51]. Figure 3 presents an overview of usability testing procedures for patients and health care providers.

Figure 3. Overview of Phase 5 usability testing procedures for patients and health care providers. HCP: health care provider.

Data Analysis

Phase 4: Quantitative Data

Quantitative data from the platform creation testing sessions included (1) objective and subjective International Organization for Standardization KPIs, and (2) HCPs’ scores on the SUS questionnaire. Descriptive statistics were calculated and summarized as appropriate. The quantitative data were triangulated with qualitative data to provide a comprehensive understanding of end users’ experience with Voxe. Further refinements were subsequently made to the Voxe platform design based on the triangulated data.

Phases 4 and 5: Qualitative Data

Research team members experienced in qualitative methods (SJP, AD, MA, SD, and SO) used content analysis to identify and organize meaningful patterns into codes across the data collected from qualitative interviews [52-54]. Codes were primarily developed deductively from key concepts in the interview guides [55], and categories were created to identify areas of similarity by collapsing codes with unifying features [56,57]. Categories were reviewed and refined until a consensus was reached among team members. In the context of the current study, saturation as an end point criterion for completing data collection was determined when Voxe was considered acceptable to end users as measured by no further requests for refinements. NVivo 12 Lumivero was used for qualitative data management [58].


Phases 4 and 5 Patient Participant Results

Patient Participants

A total of 49 patients from SickKids and CHEO participated in iterative testing rounds of Voxe in Phases 4 (platform creation) and 5 (usability testing) between September 2020 and August 2022. Among these, 19 patient participants were boys, 28 were girls, and 2 were nonbinary. Two participants were 8 or 9 years of age, 16 were between 10 and 13 years of age, and 31 were between 14 and 17 years of age. Participants identified as Asian (n=2); Black, Afro-Caribbean, or African American (n=4); Hispanic, Latino, or Spanish (n=1); South Asian (n=9); South Asian and White or Caucasian (n=4); White or Caucasian (n=28); and Other—White and Vietnamese (self-reported) (n=1). At SickKids, 12 and 13 participants participated in Phases 4 and 5, respectively. Of those, 8 participants were involved in both Phases 4 and 5. At CHEO, 12 participants participated in Phases 4 and 5. Eight participants were involved in both Phases 4 and 5. Table 2 reports additional patient participant demographic information.

Table 2. Patient demographics.
VariablePhase 4 SickKidsPhase 4 CHEOPhase 5 SickKidsPhase 5 CHEOTotal
Participant sex, n

Female777728

Male556521
Participant gender, n

Boy455519

Girl777728

Nonbinary10102
Participant age in years, n

8 or 900112

10-13364316

14-17968831
Transplant type (SickKids only), n

Kidney4a48

Liver448

Lung123

Heart336
Time since transplant in years (SickKids only)/diagnosis in years (CHEOb only), n

<6544619

6-1003317

11-15734317

>1501225

12 and <101001
Diagnosis (CHEO only), n

Oncological336

Bleeding disorder6410

Red cell disorder134

Thrombotic disorder224
Ethnicity, n

Asian10102

Black, Afro-Caribbean or African American02024

Hispanic, Latino, or Spanish00101

South Asian31329

South Asian and White or Caucasian11114

White or Caucasian777728

Other—White and Vietnamese (self-reported)01001

aNot applicable.

bCHEO: Children’s Hospital of Eastern Ontario.

Patient Participant Experience
Increased Motivation Through Account Personalization Options

Several patients shared that the variety in options for customizing their personal Voxe account was an attractive feature of the Voxe platform to enhance their motivation to complete the ePROMs. Patients also appreciated that their personalization selections could be amended at any time. The personalization component was described as unique to Voxe, as one participant stated: “My favorite part was building the avatar… Because I think it’s what makes it different from other apps…it kind of just felt like you’re creating an avatar for a video game, which is pretty fun… [it] like makes doing something for the hospital actually fun” (Usability Testing SickKids #5).

ePROM Completion Facilitated Through Text and Email Notifications

Patients stated a collective preference for Voxe’s text notifications on the basis of checking text notifications more frequently than email notifications and being more familiar with texts. Patients also emphasized the convenience of notification alerts appearing on their mobile phone screens rather than being embedded in an email, as one patient stated that they might be “more inclined to miss it [the notification to complete their ePROMs in Voxe] if it was on… email…” (Design Testing CHEO #2). Despite an overarching preference for mobile phone notifications, select patients described the value of offering children a choice of email or text notifications, depending on personal preference. Overall, patients reported that the text and email notification feature of the Voxe platform helped facilitate their ability to complete the ePROMs.

Positive Reinforcement Fostered Through the Voxe Ambassador GIFs

Nearly all patients expressed that the ambassador’s presence in the platform reinforced a unique and child-centered sense of delight, engagement, and accomplishment regarding completing ePROMs, as noted by one patient: “If you’re feeling down and you saw those animations... it’ll probably cheer you up” (Design Testing CHEO #1). Several participants also noted that completing ePROMs in Voxe represents a psychosocial intervention in and of itself to uplift their mood, as one patient shared: “You did what you had to do, and you did it perfectly… it makes you feel better” (Usability Testing CHEO #4).

Phases 4 and 5 Health Care Provider Participant Results

Health Care Provider Participants

A total of 38 HCPs from SickKids and CHEO participated in iterative testing rounds of Voxe (Phases 4 and 5) between April 2020 and January 2023. Of these, 6 HCPs were men and 32 were women. Eleven participants had worked in the SickKids TRMC or at CHEO between 6 months and 5 years, 9 participants had worked there between 6 years and 10 years, 4 participants had worked there between 11 and 15 years, 9 had worked there between 16 and 20 years, and 5 had worked there over 20 years. HCP participants identified as Asian (n=3); Asian and White or Caucasian (n=1); Black, Afro-Caribbean or African American (n=3); South Asian (n=1); White or Caucasian (n=29); and Other—Greek (self-reported) (n=1). Table 3 reports additional HCP participant demographic information. At SickKids, 3 participants were involved in both Phases 4 and 5.

After completion of design testing, 94% (30/32) of HCPs described Voxe as being user-friendly, and 88% (28/32) felt that most people would learn to use Voxe quickly. Task success or effectiveness increased by 11.25% from Round 1 to Round 4. Task completion rate decreased by 7.34 seconds over the 4 rounds of testing. SUS or satisfaction increased from a B (75.94) to an A (83.75) between Round 1 and 4. Table 4 comprises task success, task completion, and system usability score metrics.

Table 3. HCPa demographics.
VariablePhase 4 SickKidsPhase 4 CHEObPhase 5 SickKidsTotal
Participant sex, n

Female1314532

Male3216
Participant gender, n

Man3216

Woman1314532
Clinician type, n

Dietician1001

Nurse26210

Nurse practitioner3115

Occupational therapist1001

Physician45211

Physician assistant0202

Physiotherapist1001

Psychologist1102

Social worker2114

Other—information coordinator1001
Transplant program or area of work (SickKids only; participants reported all areas of work; total participants: 16 in Phase 4 and 6 in Phase 5), n

GIFTc1d01

Heart505

Kidney6612

Liver808

Lung505

Small bowel101

Other—intestine101
Department or area of work (CHEO; total: 16 participants), n

Department of Pediatrics22

Hematology22

Hematology and Oncology77

MDUe22

Oncology33
Number of years working in the SickKids TRMCf (SickKids only)/at CHEO (CHEO only)

6 months to 5 years27211

6 years to 10 years4419

11 years to 15 years4004

16 years to 20 years3339

More than 20 years3205
Ethnicity, n

Asian2013

Asian and White or Caucasian0101

Black, Afro-Caribbean or African American1113

South Asian1001

White or Caucasian1213429

Other—Greek (self-reported)0101

aHCP: health care provider.

bCHEO: Children’s Hospital of Eastern Ontario.

cGIFT: Group for Improvement of Intestinal Function and Treatment

dNot applicable.

eMDU: medical day unit.

fTRMC: Transplant and Regenerative Centre.

Table 4. Task success, task completion, and system usability score metrics (Phase 4).
MetricHCPa Round 1HCP Round 2HCP Round 3HCP Round 4
Task success (%), mean (SD)74.17 (12.57)75.00 (14.32)79.17 (6.30)85.42 (11.57)
Task completion (seconds), mean (SD)23.15 (9.34)17.05 (7.40)15.77 (5.20)15.81 (5.58)
System Usability
Score (grade), mean (SD)
75.94 (B); (7.78)71.88 (C+); (8.81)73.13 (B-); (12.87)83.75 (A); (11.73)

aHCP: health care provider.

Health Care Provider Participant Perspective
Integrating Voxe With the Electronic Medical Record Is Important

During design testing sessions, HCPs noted the importance of integrating Voxe with the EMR (eg, Epic) as opposed to a standalone ePROM platform to allow HCPs to access PRO data using the existing EMR portal. HCPs associated the value of Voxe’s capacity for immediate data transfer between Voxe and the hospital EMR with reducing technological fatigue and optimizing clinical workloads, particularly specific to documentation procedures. For example, 1 HCP described: “I think it would really be very useful if you know that that link could happen between Voxe [and Epic] especially if we’re meant to write a plan and to basically get integrated and pull into the note… I think it has to be as seamless as possible” (Design Testing SickKids #5).

System Notifications of Voxe Completion Are Helpful

HCPs discussed the importance of system notifications in EMRs to signify when a patient completes their ePROMs within Voxe. According to HCPs, EMR system notifications would serve as a helpful reminder for HCPs to regularly check patients’ ePROM data in the EMR. Respective to notification placement within EMRs, HCPs preferred that the notification be viewed in a prominent area (eg, centered on the page) or in the form of an “In Basket” notification within Epic (“In Basket” is the communication hub in Epic). Several HCPs stated that an “In Basket” notification offered an added advantage of separating PRO data from other clinical data to ensure that ePROMs are reviewed by HCPs. This finding was captured by an HCP, who stated: “…the In Basket… it’s a little bit separate from like, say [clinical] results… I feel like if it was mixed in… that could easily get… missed” (Usability Testing SickKids #6).

Using the Presentation View to See Trends Within Results Over Time Is Valuable

HCPs emphasized the value of this feature of Voxe. In particular, HCPs commented on the presentation screen’s simplicity and ease of use to identify pertinent topics or issues that may require HCPs’ heightened attention during clinical encounters. HCPs also described that the presentation screen’s capacity to visualize ePROM results over different time points could represent a tool to facilitate conversations with patients and family members on issues related to HRQoL, including medication management and treatment adherence. For example, an HCP noted: “…if I can see consistently that their pain has affected their physical functioning… that’s a tool that I can use to say, ‘Well, look how you’re rating this, and you still don’t want to go on your medication?’… having a longer view is going to be even more powerful in our education and trying to help get buy-in with our plans” (Design Testing CHEO #8).


Principal Findings

This paper provides an overview of a UCD approach and usability testing phases of a novel evidence-based pediatric ePROM platform prototype named Voxe. Patients particularly appreciated Voxe’s child-friendly options for personalized profiles (eg, color and avatar selection) and the inclusion of Voxe ambassador GIFs (ie, animated avatars) in the platform. HCPs’ SUS scores reflected high satisfaction rates with the Voxe platform prototype. Design testing sessions with HCPs also highlighted Voxe’s ease of use and unique capacity for integration into the hospital EMR as valuable for streamlining clinical documentation and evaluation processes. Patients’ and HCPs’ high satisfaction with the Voxe prototype highlight the importance of being responsive to user suggestions from the inception of eHealth platform developments to ensure their efficient and effective design [20,59].

Comparison With Prior Work

Patients’ feedback on the Voxe prototype highlights the need to integrate developmentally responsive design considerations (eg, choice of color and avatars) in pediatric ePROM platforms to foster children’s sense of engagement and motivation to complete ePROMs. While children and adolescents may be particularly amenable to using eHealth platforms due to their familiarity with technologies such as the internet and mobile phones, eHealth solutions should still respond to children’s rapidly shifting development and associated ideas about the novelty or innovative nature of technology [60]. Insufficient consideration of the needs of the intended users in the development of eHealth platforms risks eHealth tools that are not able to fully accomplish their objectives [61], particularly if technologies do not align with end users' daily lives, habits, or rituals [22]. Patients’ insights on Voxe’s child-friendly characteristics contribute to a limited body of research regarding how to tailor ePROM platforms to the preferences of pediatric patients to optimize ePROM adoption and implementation [14,62,63].

The UCD approach that guided Voxe’s development responds to existing calls for user-centered approaches to pediatric eHealth solution developments [64,65]. UCD is recognized as an optimal design approach for creating eHealth platforms [18,66,67] to help overcome eHealth implementation barriers, such as minimal clinical use of eHealth tools and low adoption rates in health care practices [68]. As eHealth technologies are often developed with a marginal level of engagement from end -users [68], Voxe’s development phases offer practical steps for facilitating the inclusion of end users’ perspectives in creating eHealth platform solutions specific to pediatric health care.

One challenge in pediatric health care practice is that most oral and written communications “with” children occur between adults [69-71]. Voxe’s usability testing sessions highlighted Voxe’s capacity for motivating pediatric patients to complete ePROMs and the potential to engage them in discussions concerning their care and treatment. For example, Voxe’s development directly responded to what children considered most meaningful to them (eg, the incorporation of account personalization and Voxe ambassador GIFs), which may differ from adult-informed ideas about children’s needs and preferences. Voxe also offers children time to reflect on pertinent issues they wish to emphasize in upcoming clinic appointments, and HCPs can review and consider patients’ responses before clinical visits. Participants highlighted that Voxe’s reminder notification system and presentation screen, which display the patient’s summarized ePROM results, could be useful tools to facilitate child-provider communication regarding PRO data. The design and functionalities of the Voxe prototype responded to patient needs within the context of clinic visits, encouraging in-advance completion and purposively directing the foci of clinical encounters to patient priorities, offering the potential to improve satisfaction with health care [72-74].

The integration of ePROM data into EMRs presented another contextual variable driving ePROM platform development to address end user needs. Recent estimates suggest that most ePROM platforms are designed as stand-alone platforms, and only 60% (6/10) of ePROM systems offer compatibility for linking with EMRs [75]. In the context of limited pediatric ePROMs, Voxe is one of only a few pediatric-focused [4,76] or combined (ie, children and adults) [10] ePROM platforms to offer the capacity for front-end integration with EMRs. Similar to other cited benefits of ePROM platforms [6,72,74], Voxe can facilitate the integration of PRO data in patient EMRs in a manner that mirrors clinicians’ existing workflows relative to documentation and assessment practices. During Voxe’s usability evaluations, HCPs emphasized the value of Voxe’s capacity for seamless integration into the EMR, which facilitated viewing and sharing mock PRO data in real time, and has the potential to offer time-saving benefits and remove potential burdens associated with logging into a stand-alone platform to review PRO data [74]. Overall, HCPs described how Voxe could help address key barriers pertaining to ePROM uptake in pediatric clinical practices, such as inconsistencies in compatibilities with EMRs, which has been cited among other associated challenges with PRO data management [6].

The Future Implementation of Voxe

The UCD approach and usability testing of Voxe outlined in this paper will inform the full operationalization and implementation of Voxe in pediatric health care settings. Future implementation initiatives will include (1) the delivery of HCP orientation sessions to familiarize HCPs with Voxe and (2) the evaluation (Phase 6) of the Voxe ePROM platform using a hybrid implementation-effectiveness design. Presently, the implementation of ePROMs in health care settings remains sparse and inconsistent [6], and transparent reporting on the use of implementation strategies to guide the future implementation of Voxe [77,78] will contribute to addressing this knowledge gap.

Strengths and Limitations

Voxe was designed and evaluated by an interdisciplinary research team with expertise in pediatric health research, including UCD and mixed methodology. This approach elicited participant perspectives through qualitative methods, garnering insights from a diverse sample of end user participants (ie, patients and HCPs) relative to age and clinician type. Participants completed simple tasks aligned with using Voxe which provided feedback about the changes needed prior to implementation. Evaluating the use of Voxe in more complex, “real-world” situations and to interpret patient ePROM results and trends longitudinally is a future aim of our program of research. We acknowledge that participants represented a small sample recruited from the SickKids TRMC and the Hematology and Oncology program at CHEO which limited eligible chronic health conditions and may have implications on the generalizability of our findings. Future studies should include participation from other pediatric hospitals and clinical programs. Of note, the sample recruited included English-speaking participants only. The absence of the perspectives of non-English speaking individuals to inform the development of Voxe limits our transferability of findings within these populations.

Conclusions

This paper outlines Voxe’s UCD approach and the usability testing of Voxe’s platform features as an ePROM platform designed for implementation into clinical care delivery for pediatric patients with chronic health conditions. As a patient-facing platform that can be integrated into EMRs, Voxe aligns with measurement-based care practices to foster quality patient-centered approaches to care. End users’ positive feedback and evaluation of the platform’s user-friendliness and efficiency suggest that Voxe represents a valuable and promising solution to systematically integrate PRO data in complex and dynamic clinical health care settings. Future collection of usage and outcome data will enable cost-benefit analyses to support the long-term integration of eHealth platforms in clinical services [79].

Acknowledgments

The development and usability evaluation of Voxe was funded by SickKids Transplant and Regenerative Medicine Centre—Pilot Grant Competition, Canadian Donation and Transplantation Research Program and Astellas Pharma Canada—Research Innovation Grant, Health Canada—Health Care Policy Contribution Program (agreement 1920-HQ-000105). The authors appreciate all children and health care providers who made time in their schedules to participate in this study. This research would not have been possible without their valuable insights.

Conflicts of Interest

None declared.

  1. Meirte J, Hellemans N, Anthonissen M, Denteneer L, Maertens K, Moortgat P, et al. Benefits and disadvantages of electronic patient-reported outcome measures: systematic review. JMIR Perioper Med. 2020;3(1):e15588. [FREE Full text] [CrossRef] [Medline]
  2. Grover S, Fitzpatrick A, Azim FT, Ariza-Vega P, Bellwood P, Burns J, et al. Defining and implementing patient-centered care: an umbrella review. Patient Educ Couns. 2022;105(7):1679-1688. [CrossRef] [Medline]
  3. Nguyen H, Butow P, Dhillon H, Sundaresan P. A review of the barriers to using patient-reported outcomes (PROs) and patient-reported outcome measures (PROMs) in routine cancer care. J Med Radiat Sci. 2021;68(2):186-195. [FREE Full text] [CrossRef] [Medline]
  4. Morris AC, Ibrahim Z, Heslin M, Moghraby OS, Stringaris A, Grant IM, et al. Assessing the feasibility of a web-based outcome measurement system in child and adolescent mental health services - myHealthE a randomised controlled feasibility pilot study. Child Adolesc Ment Health. 2023;28(1):128-147. [FREE Full text] [CrossRef] [Medline]
  5. Krogsgaard MR, Brodersen J, Christensen KB, Siersma V, Kreiner S, Jensen J, et al. What is a PROM and why do we need it? Scand J Med Sci Sports. 2021;31(5):967-971. [CrossRef] [Medline]
  6. Glenwright BG, Simmich J, Cottrell M, O'Leary SP, Sullivan C, Pole JD, et al. Facilitators and barriers to implementing electronic patient-reported outcome and experience measures in a health care setting: a systematic review. J Patient Rep Outcomes. 2023;7(1):13. [FREE Full text] [CrossRef] [Medline]
  7. Resnick SG, Oehlert ME, Hoff RA, Kearney LK. Measurement-based care and psychological assessment: using measurement to enhance psychological treatment. Psychol Serv. 2020;17(3):233-237. [CrossRef] [Medline]
  8. Fortney JC, Unützer J, Wrenn G, Pyne JM, Smith GR, Schoenbaum M, et al. A tipping point for measurement-based care. Psychiatr Serv. 2017;68(2):179-188. [CrossRef] [Medline]
  9. Lee M, Kang D, Kim S, Lim J, Yoon J, Kim Y, et al. Who is more likely to adopt and comply with the electronic patient-reported outcome measure (ePROM) mobile application? A real-world study with cancer patients undergoing active treatment. Support Care Cancer. 2022;30(1):659-668. [CrossRef] [Medline]
  10. Haverman L, van Oers HA, Limperg PF, Hijmans CT, Schepers SA, Sint Nicolaas SM, et al. Implementation of electronic patient reported outcomes in pediatric daily clinical practice: the KLIK experience. Tijdschrift voor Kindergeneeskunde. 2013;81(S1):48-49. [CrossRef]
  11. Kyte D, Anderson N, Auti R, Aiyegbusi OL, Bishop J, Bissell A, et al. Development of an electronic patient-reported outcome measure (ePROM) system to aid the management of patients with advanced chronic kidney disease. J Patient Rep Outcomes. 2020;4(1):55. [FREE Full text] [CrossRef] [Medline]
  12. Birnie KA, Campbell F, Nguyen C, Lalloo C, Tsimicalis A, Matava C, et al. iCanCope PostOp: user-centered design of a smartphone-based app for self-management of postoperative pain in children and adolescents. JMIR Form Res. 2019;3(2):e12028. [FREE Full text] [CrossRef] [Medline]
  13. Skrabal Ross X, Condon P, Yates P, Walker R, Herbert A, Bradford N. Feasibility of weekly electronic patient- and proxy-reported outcome measures in pediatric oncology. Cancer Nurs. 2023. [CrossRef] [Medline]
  14. Meryk A, Kropshofer G, Hetzer B, Riedl D, Lehmann J, Rumpold G, et al. Implementation of daily patient-reported outcome measurements to support children with cancer. Pediatr Blood Cancer. 2021;68(11):e29279. [CrossRef] [Medline]
  15. Varni JW, Limbers CA, Burwinkle TM. How young can children reliably and validly self-report their health-related quality of life?: an analysis of 8,591 children across age subgroups with the PedsQL 4.0 generic core scales. Health Qual Life Outcomes. 2007;5:1. [FREE Full text] [CrossRef] [Medline]
  16. Richter J, Kampling C, Schneider M. Electronic patient-reported outcome measures (ePROMs) in rheumatology. Patient reported outcome measures in rheumatic diseases. 2016:371-388. [CrossRef]
  17. García Abejas A, Serra Trullás A, Sobral MA, Canelas D, Leite Costa F, Salvador Verges A. Improving the understanding and managing of the quality of life of patients with lung cancer with electronic patient-reported outcome measures: scoping review. J Med Internet Res. 2023;25:e46259. [FREE Full text] [CrossRef] [Medline]
  18. van Velsen L, Ludden G, Grünloh C. The limitations of user-and human-centered design in an eHealth context and how to move beyond them. J Med Internet Res. 2022;24(10):e37341. [FREE Full text] [CrossRef] [Medline]
  19. Brown W, Yen PY, Rojas M, Schnall R. Assessment of the health IT usability evaluation model (health-ITUEM) for evaluating mobile health (mHealth) technology. J Biomed Inform. 2013;46(6):1080-1087. [FREE Full text] [CrossRef] [Medline]
  20. Schnall R, Rojas M, Bakken S, Brown W, Carballo-Dieguez A, Carry M, et al. A user-centered model for designing consumer mobile health (mHealth) applications (apps). J Biomed Inform. 2016;60:243-251. [FREE Full text] [CrossRef] [Medline]
  21. Gould JD, Lewis C. Designing for usability: key principles and what designers think. Commun ACM. 1985;28(3):300-311. [CrossRef]
  22. van Gemert-Pijnen JEC, Nijland N, van Limburg M, Ossebaard HC, Kelders SM, Eysenbach G, et al. A holistic framework to improve the uptake and impact of eHealth technologies. J Med Internet Res. 2011;13(4):e111. [FREE Full text] [CrossRef] [Medline]
  23. Dunlop E, Ferguson A, Mueller T, Baillie K, Laskey J, Clarke J, et al. Involving patients and clinicians in the design of wireframes for cancer medicines electronic patient reported outcome measures in clinical care: mixed methods study. JMIR Form Res. 2023;7:e48296. [FREE Full text] [CrossRef] [Medline]
  24. Anthony SJ, Pol SJ, Lin J, Barwick M, Brudno M, Manase D, et al. Creation of an electronic patient-reported outcome measure platform voxe: a mixed methods study protocol in paediatric solid organ transplantation. BMJ Open. 2021;11(10):e053119. [FREE Full text] [CrossRef] [Medline]
  25. Anthony SJ, Stinson H, Lazor T, Young K, Hundert A, Santana MJ, et al. Patient-reported outcome measures within pediatric solid organ transplantation: a systematic review. Pediatr Transplant. 2019;23(6):e13518. [CrossRef] [Medline]
  26. Didsbury MS, Kim S, Medway MM, Tong A, McTaggart SJ, Walker AM, et al. Socio-economic status and quality of life in children with chronic disease: a systematic review. J Paediatr Child Health. 2016;52(12):1062-1069. [CrossRef] [Medline]
  27. Bevans KB, Moon JH, Carle AC, Mara CA, Lai J, DiMarco L, et al. Patient reported outcomes as indicators of pediatric health care quality. Acad Pediatr. 2014;14(5 Suppl):S90-S96. [CrossRef] [Medline]
  28. Huang IC, Revicki DA, Schwartz CE. Measuring pediatric patient-reported outcomes: good progress but a long way to go. Qual Life Res. 2014;23(3):747-750. [FREE Full text] [CrossRef] [Medline]
  29. Anthony SJ, Young K, Pol SJ, Selkirk EK, Blydt-Hansen T, Boucher S, et al. Patient-reported outcome measures in pediatric solid organ transplantation: exploring stakeholder perspectives on clinical implementation through qualitative description. Qual Life Res. 2021;30(5):1355-1364. [FREE Full text] [CrossRef] [Medline]
  30. Anthony SJ, Stinson H, Lazor T, Young K, Hundert A, Santana MJ, et al. Patient-reported outcome measures within pediatric solid organ transplantation: a systematic review. Pediatr Transplant. 2019;23(6):e13518. [CrossRef] [Medline]
  31. Anthony SJ, Young K, Pol SJ, Selkirk EK, Blydt-Hansen T, Boucher S, et al. Patient-reported outcome measures in pediatric solid organ transplantation: exploring stakeholder perspectives on clinical implementation through qualitative description. Qual Life Res. 2021;30(5):1355-1364. [FREE Full text] [CrossRef] [Medline]
  32. Varni JW, Seid M, Kurtin PS. PedsQL 4.0: reliability and validity of the pediatric quality of life inventory version 4.0 generic core scales in healthy and patient populations. Med Care. 2001;39(8):800-812. [CrossRef] [Medline]
  33. Eiser C, Morse R. Quality-of-life measures in chronic diseases of childhood. Health Technol Assess. 2001;5(4):1-157. [FREE Full text] [CrossRef] [Medline]
  34. Devlen J, Crager J, Anfray C, Varni J. e-Booklet for electronic implementation: pediatric quality of life inventory (PedsQL) generic core scales child report (ages 8-12). Mapi Research Trust. 2019. URL: https://eprovide.mapi-trust.org/instruments/pediatric-quality-of-life-inventory [accessed 2024-08-03]
  35. Barnum CM. Usability testing essentials: ready, set test!. In: Merken S, editor. Establishing the essentials. Amsterdam. Elsevier; 2020:9-33.
  36. ISO 9241-11:2018(en) ergonomics of human-system interaction - Part 11: usability: definitions and concepts. International Organization for Standardization. 2018. URL: https://www.iso.org/obp/ui/#iso:std:iso:9241:-11:ed-2:v1:en [accessed 2021-01-20]
  37. About us: what we do. International Organization for Standardization. URL: https://www.iso.org/what-we-do.html [accessed 2021-01-20]
  38. Barnum CM. Usability testing essentials: ready, set test!. In: Merken S, editor. Analyzing the Findings. Amsterdam. Elsevier; 2020:287-319.
  39. ISO 9000(en) Quality management systems - fundamentals and vocabulary. International Organization for Standardization. 2015. URL: https://www.iso.org/obp/ui/#iso:std:iso:9000:ed-4:v1:en [accessed 2021-01-20]
  40. Brooke J. SUS—a quick and dirty usability scale. Usability evaluation in industry. 1996;189(194):4-7. [CrossRef]
  41. Haggerty T, Brabson L, Grogg KA, Herschell AD, Giacobbi P, Sedney C, et al. Usability testing of an electronic health application for patient activation on weight management. Mhealth. 2021;7:45. [FREE Full text] [CrossRef] [Medline]
  42. Barnum C. Usability testing essentials: ready, set test!. In: Marken S, editor. Preparing for Usability Testing. Amsterdam. Elsevier; 2020:197-248.
  43. Li AC, Kannry JL, Kushniruk A, Chrimes D, McGinn TG, Edonyabo D, et al. Integrating usability testing and think-aloud protocol analysis with "near-live" clinical simulations in evaluating clinical decision support. Int J Med Inform. 2012;81(11):761-772. [CrossRef] [Medline]
  44. Rose AF, Schnipper JL, Park ER, Poon EG, Li Q, Middleton B. Using qualitative studies to improve the usability of an EMR. J Biomed Inform. 2005;38(1):51-60. [FREE Full text] [CrossRef] [Medline]
  45. Jaspers MWM, Steen T, van den Bos C, Geenen M. The think aloud method: a guide to user interface design. Int J Med Inform. 2004;73(11-12):781-795. [CrossRef] [Medline]
  46. Li AC, Kannry JL, Kushniruk A, Chrimes D, McGinn TG, Edonyabo D, et al. Integrating usability testing and think-aloud protocol analysis with "near-live" clinical simulations in evaluating clinical decision support. Int J Med Inform. 2012;81(11):761-772. [CrossRef] [Medline]
  47. Aiyegbusi OL, Kyte D, Cockwell P, Marshall T, Dutton M, Slade A, et al. Using patient-reported outcome measures (PROMs) to promote quality of care and safety in the management of patients with advanced chronic kidney disease (PRO-trACK project): a mixed-methods project protocol. BMJ Open. 2017;7(6):e016687. [FREE Full text] [CrossRef] [Medline]
  48. Lewis C. Using the "Think Aloud" Method in Cognitive Interface Design. New York. IBM Research; 1982.
  49. Stinson JN, Jibb LA, Nguyen C, Nathan PC, Maloney AM, Dupuis LL, et al. Development and testing of a multidimensional iPhone pain assessment application for adolescents with cancer. J Med Internet Res. 2013;15(3):e51. [FREE Full text] [CrossRef] [Medline]
  50. Macefield R. How to specify the participant group size for usability studies: a practitioner's guide. J Usability Stud. 2009;5(1):34-45.
  51. Kushniruk AW, Patel VL. Cognitive and usability engineering methods for the evaluation of clinical information systems. J Biomed Inform. 2004;37(1):56-76. [FREE Full text] [CrossRef] [Medline]
  52. Gibbs G. Analysing qualitative data. London, England. SAGE; 2007.
  53. Elo S, Kyngäs H. The qualitative content analysis process. J Adv Nurs. 2008;62(1):107-115. [CrossRef] [Medline]
  54. Vaismoradi M, Turunen H, Bondas T. Content analysis and thematic analysis: implications for conducting a qualitative descriptive study. Nurs Health Sci. 2013;15(3):398-405. [CrossRef] [Medline]
  55. Elo S, Kyngäs H. The qualitative content analysis process. J Adv Nurs. 2008;62(1):107-115. [CrossRef] [Medline]
  56. Berends L, Johnston J. Using multiple coders to enhance qualitative analysis: the case of interviews with consumers of drug treatment. Addiction Research & Theory. 2009;13(4):373-381. [CrossRef]
  57. Whittemore R, Chase SK, Mandle CL. Validity in qualitative research. Qual Health Res. 2001;11(4):522-537. [CrossRef] [Medline]
  58. Richards L. Using NVivo in qualitative research. United Kingdom. Sage; 1999.
  59. Whitehouse SR, Lam PY, Balka E, McLellan S, Deevska M, Penn D, et al. Co-creation with TickiT: designing and evaluating a clinical eHealth platform for youth. JMIR Res Protoc. 2013;2(2):e42. [FREE Full text] [CrossRef] [Medline]
  60. Wu YP, Steele RG, Connelly MA, Palermo TM, Ritterband LM. Commentary: pediatric eHealth interventions: common challenges during development, implementation, and dissemination. J Pediatr Psychol. 2014;39(6):612-623. [FREE Full text] [CrossRef] [Medline]
  61. Nilsen W, Kumar S, Shar A, Varoquiers C, Wiley T, Riley WT, et al. Advancing the science of mHealth. J Health Commun. 2012;17 Suppl 1:5-10. [CrossRef] [Medline]
  62. Tyack Z, Simons M, McPhail SM, Harvey G, Zappala T, Ware RS, et al. Improving the patient-centred care of children with life-altering skin conditions using feedback from electronic patient-reported outcome measures: protocol for a hybrid effectiveness-implementation study (PEDS-ePROM). BMJ Open. 2021;11(4):e041861. [FREE Full text] [CrossRef] [Medline]
  63. van Muilekom MM, Teela L, van Oers HA, van Goudoever JB, Grootenhuis MA, Haverman L. Patients' and parents' perspective on the implementation of patient reported outcome measures in pediatric clinical practice using the KLIK PROM portal. Qual Life Res. 2022;31(1):241-254. [FREE Full text] [CrossRef] [Medline]
  64. Wiljén A, Chaplin JE, Crine V, Jobe W, Johnson E, Karlsson K, et al. The development of an mHealth tool for children with long-term illness to enable person-centered communication: user-centered design approach. JMIR Pediatr Parent. 2022;5(1):e30364. [FREE Full text] [CrossRef] [Medline]
  65. Badawy SM, Cronin RM, Hankins J, Crosby L, DeBaun M, Thompson AA, et al. Patient-centered eHealth interventions for children, adolescents, and adults with sickle cell disease: systematic review. J Med Internet Res. 2018;20(7):e10940. [FREE Full text] [CrossRef] [Medline]
  66. McCurdie T, Taneva S, Casselman M, Yeung M, McDaniel C, Ho W, et al. mHealth consumer apps: the case for user-centered design. Biomed Instrum Technol. 2012;46(Suppl):49-56. [CrossRef] [Medline]
  67. Ten Klooster I, Wentzel J, Sieverink F, Linssen G, Wesselink R, van Gemert-Pijnen L. Personas for better targeted eHealth technologies: user-centered design approach. JMIR Hum Factors. 2022;9(1):e24172. [FREE Full text] [CrossRef] [Medline]
  68. Stewart E, Milton A, Yee HF, Song MJ, Roberts A, Davenport T, et al. eHealth tools that assess and track health and well-being in children and young people: systematic review. J Med Internet Res. 2022;24(5):e26015. [FREE Full text] [CrossRef] [Medline]
  69. Larsson I, Svedberg P, Arvidsson S, Nygren JM, Carlsson I. Parents' experiences of an e-health intervention implemented in pediatric healthcare: a qualitative study. BMC Health Serv Res. 2019;19(1):800. [FREE Full text] [CrossRef] [Medline]
  70. Grootens-Wiegers P, Hein I, Staphorst M. Using children's voice to optimize pediatric participation in medical decision making. Am J Bioeth. 2018;18(3):14-16. [CrossRef] [Medline]
  71. Baggott C, Baird J, Hinds P, Ruland CM, Miaskowski C. Evaluation of Sisom: a computer-based animated tool to elicit symptoms and psychosocial concerns from children with cancer. Eur J Oncol Nurs. 2015;19(4):359-369. [CrossRef] [Medline]
  72. Teela L, van Muilekom MM, Kooij LH, Gathier AW, van Goudoever JB, Grootenhuis MA, et al. Clinicians' perspective on the implemented KLIK PROM portal in clinical practice. Qual Life Res. 2021;30(11):3267-3277. [FREE Full text] [CrossRef] [Medline]
  73. Engelen V, Detmar S, Koopman H, Maurice-Stam H, Caron H, Hoogerbrugge P, et al. Reporting health-related quality of life scores to physicians during routine follow-up visits of pediatric oncology patients: is it effective? Pediatr Blood Cancer. 2012;58(5):766-774. [CrossRef] [Medline]
  74. Govindaraj R, Agar M, Currow D, Luckett T. Assessing patient-reported outcomes in routine cancer clinical care using electronic administration and telehealth technologies: realist synthesis of potential mechanisms for improving health outcomes. J Med Internet Res. 2023;25:e48483. [FREE Full text] [CrossRef] [Medline]
  75. Anderson NE, Kyte D, McMullan C, Cockwell P, Aiyegbusi OL, Verdi R, et al. Global use of electronic patient-reported outcome systems in nephrology: a mixed methods study. BMJ Open. 2023;13(7):e070927. [FREE Full text] [CrossRef] [Medline]
  76. Bele S, Paolucci EO, Johnson DW, Quan H, Santana M. Implementing paediatric patient-reported outcome measures in outpatient asthma clinics: a feasibility assessment study. BMJ Open. 2023;13(11):e073260. [FREE Full text] [CrossRef] [Medline]
  77. IJzerman RV, van der Vaart R, Breeman LD, Arkenbout K, Keesman M, Kraaijenhagen RA, et al. An iterative approach to developing a multifaceted implementation strategy for a complex eHealth intervention within clinical practice. BMC Health Serv Res. 2023;23(1):1455. [FREE Full text] [CrossRef] [Medline]
  78. Ross J, Stevenson F, Lau R, Murray E. Factors that influence the implementation of e-health: a systematic review of systematic reviews (an update). Implement Sci. 2016;11(1):146. [FREE Full text] [CrossRef] [Medline]
  79. Bergmo TS. How to measure costs and benefits of eHealth interventions: an overview of methods and frameworks. J Med Internet Res. 2015;17(11):e254. [FREE Full text] [CrossRef] [Medline]


CHEO: Children’s Hospital of Eastern Ontario
ePROM: electronic patient-reported outcome measure
EMR: electronic medical record
HCP: health care provider
HRQoL: health-related quality of life
KPI: key performance indicator
PRO: patient-reported outcome
PROM: patient-reported outcome measure
REDCap: Research Electronic Data Capture
SUS: System Usability Scale
TRMC: Transplant and Regenerative Medicine Centre
UCD: user-centered design


Edited by A Kushniruk; submitted 05.03.24; peer-reviewed by M Gorges, E McCabe; comments to author 22.04.24; revised version received 06.06.24; accepted 12.07.24; published 19.09.24.

Copyright

©Samantha J Anthony, Sarah J Pol, Enid K Selkirk, Amarens Matthiesen, Robert J Klaassen, Dorin Manase, Amanda Silva, Melanie Barwick, Jennifer N Stinson, Alameen Damer, Mowa Ayibiowu, Selina X Dong, Stephan Oreskovich, Michael Brudno. Originally published in JMIR Human Factors (https://humanfactors.jmir.org), 19.09.2024.

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 Human Factors, is properly cited. The complete bibliographic information, a link to the original publication on https://humanfactors.jmir.org, as well as this copyright and license information must be included.