Skip to main content
  • Research article
  • Open access
  • Published:

Usability evaluation with mental health professionals and young people to develop an Internet-based cognitive-behaviour therapy program for adolescents with anxiety disorders

Abstract

Background

Use of the Internet to deliver cognitive behavioural therapy, a frontline treatment for anxiety disorders, is emerging as an option to increase access to treatment among adolescents with anxiety disorders. This study examined the usability of the Internet-based component of Breathe, a CBT program designed for adolescents with mild to moderate anxiety and impairments.

Methods

A mixed-method usability testing design with semi-structured interviews, task completion, and survey by trained usability moderators was undertaken with two interactive cycles to determine the usability (ease of use, efficiency, errors, and user satisfaction) of the user interface and content areas of the program. Purposeful sampling was used to recruit mental health clinicians with expertise in treating adolescent anxiety disorders and young people aged 15 to 24 years involved. Testing involved using Web-conferencing software that allowed remote participation through personal computers. Two testing cycles involved participants completing structured ‘think aloud’ and ‘cognitive walkthrough’ tasks within the program. At the end of each cycle participants completed a 15-item global usability evaluation survey and were asked a series of open-ended questions. Descriptive and simple content analyses were used to identify and score usability issues for frequency and severity.

Results

Five clinicians and four young people (all < 20 years of age) participated. Most participants described their computer skills as ‘good’ (60 % clinicians, 50 % young people), and attitudes toward Internet-based health care ranged from negative (75 % young people) to positive (60 % clinicians, 25 % young people). Scores from the global usability evaluation after both testing cycles ranged from 3.5 to 5 out of 5 in strong agreement/support of the program in terms of user performance indicators (i.e., learnability, efficiency and number of errors) and user satisfaction. Participants were able to complete all critical tasks with minimal errors. Errors and issues identified during testing were predominantly around enhancements to the visual design and navigational support. Opinions across usability elements did not differ between young people and clinician participants.

Conclusions

A multi-method remote usability approach provided the opportunity to improve the technical interface, therapeutic messaging and user experience of an Internet-based treatment program for adolescent anxiety disorders.

Peer Review reports

Background

In their lifetimes, approximately 1 in every 3 adolescents will meet criteria for an anxiety disorder [1]. Few adolescents, however, receive specialized mental health care [2] for an anxiety disorder including the recommended frontline psychological treatment, cognitive behavioural therapy (CBT). Traditionally delivered in-person, barriers to receiving CBT may include social stigma, direct and incidental costs (e.g., time out of school), lack of trained deliverers, and inconvenient service times and locations [36]. Adolescents have also been found to be reluctant to seek professional treatment [7] due to strong beliefs that they should cope alone [8], low mental-health literacy [9], and inadequate social or interpersonal skills [10]. Use of the Web to deliver CBT for adolescent anxiety disorders is emerging as an acceptable treatment option to increase access to treatment among those not wishing to seek in-person professional treatment [11], without available treatments or timely access to treatments, or who prefer to treat their anxiety autonomously [1214]. While this self-managed treatment approach is considered lower-intensity than in-person treatment, many anxious adolescents experience only mild to moderate distress and impairment [1] making this treatment approach appropriate for these young people.

CBT for anxiety problems in adolescence is very effective at reducing symptoms and improving daily functioning [15]; this includes efficacy in adolescents with co-morbidities [16] and across cultural groups [17]. CBT combines systematic exposure to feared situations with skills training to help replace anxious thoughts about feared situations with more adaptive thoughts [18]. These treatment elements are based on the premise that repeated exposure to feared situations results in a desensitization to them, reducing anxiety and avoidant behaviours, and improving functioning. The structured and sequential nature of CBT translates well to computer-based delivery via the Web [19] and initial research has demonstrated feasibility for a variety of CBT interventions for treating anxiety [2022].

We developed an Internet-based, CBT treatment program (named Breathe) for anxious adolescents with mild to moderate distress and impairment. The program includes online (CBT treatment modules) and Internet- (e-mail support) based features as well as telephone support provided by a trained health care professional (‘Anxiety Expert’). Development of the treatment modules was overseen by research team members with expertise in treating anxiety disorders, and translation of the modules for online delivery was led by research staff at the Centre for Research in Family Health (Halifax, Nova Scotia, Canada) with extensive experience in developing and delivering online interventions [23, 24]. The Breathe program includes the core CBT clinical treatment components outlined by Friedberg and McClure [25] (i.e., mood-check-in, homework review, collaborative goal setting, psycho-education/discovery, planning/homework, and feedback) as 8 interactive modules written at a grade 5 reading level.

Breathe Module Topics:

  • Module 1 (Introduction to Breathe/Anxiety Overview)

  • Module 2 (Negative Power of Unrealistic Beliefs)

  • Module 3 (Common Thinking Traps)

  • Module 4 (Relaxation Strategies and Positive Coping)

  • Module 5 (Avoid Avoiding/Preparing to Face Fears)

  • Module 6 (Fear Ladders/Strategy Planning)

  • Module 7 (Practicing Exposure Activities/Dealing With Set-Backs)

  • Module 8 (Maintaining Gains)

Treatment modules include the following: (a) video-delivered education about anxiety problems and approaches; (b) safety-monitoring and assessment of different intensities of need and anxiety severity; (c) activities to teach adolescents how to identify anxious thoughts and develop realistic thinking about anxiety-producing situations; (d) coping skill activities with self-assessment and rewards; (e) development of a hierarchy of feared situations and steps for gradual and repeated exposure to feared situations (using imagery and in vivo activities); (f) contingency management; and (g) peer modelling. Automated e-mail support to parents is also an option within the program.

The Breathe program is powered by the Intelligent Research and Intervention Software (IRIS ©) platform that supports persuasive technology elements that make the program more than a static Internet-based treatment on a computer. IRIS provides customization (e.g., using responses to hide/show only relevant content), personalization (e.g., pre-populating worked examples, email reminders, etc. with the user’s demographic information or previous responses), and notifications (both to the user or program staff, within the platform and to outside emails) to ensure the program adapts to the adolescent user to provide a tailored treatment approach.

Internet-based health programs and interventions require a robust and bug-free underlying architecture, and user experience design that aligns with skill and knowledge level [26]. The failure of the interface to meet user demands can result in decreased effectiveness, efficiency, satisfaction and diminished task performance [27]. Usability testing provides critical user feedback about what works and what doesn’t work in the interface, and where there are gaps (technical and aesthetic) that might affect program/intervention performance or user satisfaction [2830]. For Internet-based health programs and interventions with limited offline support, usability issues need to be closely scrutinized to maximize users’ ability to self-direct through the treatment.

The purpose of the present study was to explore the usability of Internet-based component of the Breathe program in terms of 1) how quickly users were able to learn the new interface and program layout (learnability); 2) the ease with which users could navigate through the components of the intervention (efficiency); 3) the frequency and severity of usability issues and 4) satisfaction with program content and the Website interface.

Methods

Drawing on lean user experience design (UX) [31] and agile software development approaches (ASD) [32], we followed an iterative and participatory process to evaluate the Breathe program. Usability testing sessions were designed for remote delivery using ‘Elluminate Live!, an online Web-conferencing tool that facilitates real-time interactive discussions, polling, shared desktop and session recording features. This approach is a reliable method for conducting evaluations of Websites [33] and removed geography as a barrier to study participation. The study protocol was approved by the Health Research Ethics Boards at the University of Alberta (Edmonton, Alberta, Canada) and IWK Health Centre (Halifax, Nova Scotia, Canada).

Participant selection

A purposive sample of mental health clinicians with expertise in treating adolescent anxiety disorders and young people aged 15 to 24 years involved in peer advocacy for mental health and illness were recruited. There were no exclusion criteria for youth as usability testers; youth could self-identify for study participation out of interest based on personal (i.e., personal experience with anxiety) or professional (i.e., peer advocacy activities) reasons.

Clinicians and young people were recruited through a national contact (e-mail) list maintained by the National Infant, Child and Youth Mental Health Consortium in Canada. Individuals on this list volunteered their contact information to the Consortium through participation in national mental health related activities and involvement in advocacy and education groups for mental health. All individuals on the contact list were e-mailed a study information letter inviting them to participate. This method was supplemented by convenience sampling of clinicians contacted during a Canadian Mental Health Association (CMHA) webinar hosted by the research team and youth volunteers working on mental health related projects at the Centre for Research in Family Health.

We employed a broad age range for recruiting young people that is consistent with the World Health Organization and United Nations age-range for “young people” [34]. While the program is designed for adolescents, we felt at the usability stage that young people slightly older than the program’s target population could provide valuable input based on past, and relatively immediate, experiences. All participants needed to be able to read and write English and have access to a computer with Internet connection. Youth participants were given a $50 gift certificate as an honorarium for participation. Parental consent was not required. As recruited youth were 15–24 years of age and involved in peer advocacy for mental health they were expected to have advanced knowledge and understanding of the nature of the proposed research, the anticipated risks and potential benefits, and the requirements of the research to be able to make their own, informed decision on whether to voluntarily participate. Youth were emailed an informed consent document that consisted of an information sheet and consent form. They were advised that subsequent participation in the study usability testing session was based on overt action; meaning if they attended the session, they were consenting to the study but could withdraw at any time.

Study design and procedures

All study participants gave informed consent over the phone/email to the research assistant and were given the opportunity to ask any questions. Participants were mailed headsets with voice-cancelling microphones in advance if needed in order to ensure high quality audio experience during testing and to optimize data quality for transcription. An e-mail notice was sent out 2 weeks prior to the scheduled testing session, providing a Web link to a test session so that participants could ensure their computer had the necessary JavaScript updates and to test their audio set-up.

Prior to starting the session all participants verbally confirmed informed consent. Participants were then asked to complete a general information questionnaire on demographic characteristics and level of comfort with computers and the Internet. Participants then logged into the Breathe program site and participated in standardized ‘think aloud’ [35] and ‘cognitive walkthrough’ [36] activities. Participants were guided through various critical tasks in different modules (e.g., login, complete check-in, view videos, attempts to generate homework activities). All participants worked through the same set of tasks and program components but the tasks were different in each cycle. Cycle 1 testing focused on program modules 1-4 and Cycle 2 on program modules 5–8 though some core features of the program (i.e., check-in, check-out, safety screening, homework pages) were in all modules so there was some overlap. Participants responded to semi-structured interview questions at the end of each session. Testing sessions were digitally recorded and transcribed verbatim by an experienced transcriptionist. To ensure anonymity, all participants were identified by order in which sessions were conducted (participant = Participant 1) and by participant type (young person = Y; clinician = C).

Two session moderators co-led each testing session. These moderators were skilled in qualitative interviewing and trained in using the Elluminate Live! software. Moderators made detailed notes during each session and created summary reports based on their observations. After each testing cycle, the research team and IRIS software programmers identified and prioritized usability issues and solutions.

Measures

Demographic and computer skill survey

Participants were asked by usability testing moderators to rate their own comfort level with computers from 1 ‘very bad’ to 5 ‘very good’ and provide information on how frequently they used computers for various purposes on a scale of 1 ‘never’ to 4 ‘daily’. Additional questions identified attitudes toward Internet-based health interventions, preferred Websites for accessing health-related content and demographic characteristics.

Program content and usability questionnaire

This 15-item self-report measure collected participant evaluations of Breathe on a likert scale ranging from 1 ‘strongly disagree’ to 5 ‘strongly agree’. Items were adapted from System Usability Scale (SUS) [37] and the Standardized User Experience Percentile Rank Questionnaire (SUPR-Q) [38]. Participants were told that the purpose of the questionnaire was to provide feedback on how user-friendly the program was and which aspects of the program needed the most revision. Participants completed the usability questionnaire at the end of Cycle 1 and Cycle 2 testing sessions.

Semi-structured interview

A semi-structured interview was used to explore user satisfaction and interface performance. The content of the questions included questions related to 1) usability as a feature in treatment adherence (e.g., What kinds of challenges might youth face when engaging with these on-line modules?); 2) how motivation influences impressions of usability (e.g., What do you think are the benefits or rewards for engaging with Breathe modules?); and 3) context issues for usability (e.g., What would be the best way for youth to use Breathe: alone, with a counsellor, or in a group?). A moderator used probes to elicit specific examples (e.g., Can you tell me more about that?). Participants were asked for suggestions or alternatives and given the opportunity to provide any other relevant comments about the Breathe program.

Data analysis

Questionnaire data were analysed to determine measures of central tendency and distribution of values. As each cycle of testing focused on different module components of the program, repeated measures analysis was not appropriate. Simple content analysis was performed after each testing cycle on the transcribed data relating to the think aloud and cognitive walk-though activities, and semi-structured interviews. Consideration was given to both positive and negative feedback. Usability researchers commonly rely on the frequency of errors to prioritize changes; however, there is little evidence of the correlation between frequency and severity of usability issues [39]. For this reason content analysis was used to identify key themes (based on frequency) as well as determine error severity level using common severity metrics used in the field of usability testing [40, 41]. Severity levels were defined as: 1 = cosmetic/minor (i.e., subtle and possible enhance enhancements/suggestions); 2 = moderate (i.e., user will be able to use the intervention but will have to undertake some moderate effort in getting around the problem); and 3 = critical/severe (e.g., create significant delay or frustration or prevents a task from being completed). The same analysis process was used for both testing cycles.

Results

Participant characteristics

Nine participants (young people, n = 4; child mental health clinicians, n = 5) participated in Cycle 1 and eight of that original group participated in Cycle 2 (young people, n = 4; child mental health clinicians = 4). Usability sessions were conducted between June 27th and July 24th, 2014 (Cycle 1) and between September 4th and 10th, 2014 (Cycle 2). On average, usability testing sessions took 133 min to complete.

Place of geographic residence spanned Canada for both youth (Western Canada, n = 3; Eastern/Atlantic Canada, n = 1) and clinician (Western Canada, n = 3; Eastern/Atlantic Canada, n = 2) participants. The clinician group included three clinician scientists/professors, a social worker and a family therapy coach, all with advanced university education. Clinicians ranged in age from 20–40 years (n = 1) to > 40 years (n = 4) with both males (n = 2) and females (n = 3) participating. Young people were all younger than 20 years of age. Both males (n = 2) and females (n = 2) participated. Information on participant technology use is presented in Table 1. All of the participants reported access to a home computer and reported having at least “average” computer skills or better. All participants reported daily use of computers, Internet browsing and email. Youth testers were not high users of video games or video chat but did report using the computer more often than clinicians. Before Cycle 1 testing, 3 of the 5 young people reported a negative attitude toward Internet-based health care and preference for accessing mental health resources from a health care professional.

Table 1 Information on technology use by study participants

Learnability

Responses to the Program Content and Usability Questionnaire were positive across testing cycles and user groups. A summary of questionnaire responses is provided in Table 2. Participants felt they could easily and efficiently navigate the intervention (item #2), that the site was user friendly (item # 10), the menu bar was easy to use (item # 5), and that buttons and menu options worked as they expected them to (item #7). Although participants liked the length of the modules (item # 6) the amount of information on each page was consistently scored lower across both cycles and user groups (item #4).

Table 2 Global usability evaluations by young people and clinicians in Cycles 1 and 2

Open-ended interview responses from clinician participants frequently noted the importance of being explicit with young people during program use about task expectations and preparing them in advance for what next steps would be. Based on suggestions from young people and clinicians several changes were implemented to improve navigation and learnability 1) a short virtual tour of all the menu options and site features was recorded and users were encouraged to watch the video before beginning Module 1; 2) wording was changed to provide more explicit instructions on next steps and what actions were required by the user; 3) more internal links were added to help users navigate between pages of the intervention (e.g., hyperlinks to head back to homepage, hyperlink from their homework page back to their workbench of practice activities). Minor changes to page layouts, reduction of redundant or repetitive language, adding or removing page breaks and making more use of bulleted lists and pop-ups were minor solutions put in place to make the workflow more efficient without sacrificing important therapeutic messages.

In structured CBT-based modules where content is delivered with a certain chronological logic (e.g., practice low-intensity exposure activities, review, plan for high-level exposure activities, practice moderate-level intensity exposure, etc.) there is a structure to the treatment that require certain elements remain ‘unopened’ until other elements have been completed. During Cycle 1 most of the young people commented on automated restrictions around which content they could access, in which order, how much control they had over choices (e.g., they could not skip from Module 1 to Module 4). Following Cycle 1, an animated video introduction CBT approaches was created and reviewed with users during Cycle 2 testing. Both youth and clinician testers commented that this introductory video would help program users manage their expectations about what would be involved in treatment, how long it would take and why CBT sessions were structured sequentially. Additional, positive language was added to the text in exposure focused Modules (5–7) to help users understand why a stepped approach was being used and to encourage them to continue. A frequently cited benefit of the intervention in terms of learnability and ease of use was automated email notifications for youth that would offer encouragement and reminders for completing activities if you had not logged onto the system or completed a module after a given amount of time.

Technical errors and efficiency

The majority of usability issues identified in both cycles were identified as Level 1, cosmetic or minor (see Table 3) and included things like 1) color and palette issues, typos, legibility problems and alignment or layout flaws. All users were able to perform critical testing tasks (e.g., login, submit check-in, submit homework, access workbench) during both testing cycles. Level 1 issues were most often described by users not as “errors” but ways the site could be enhanced or improved. Moderate errors referred to instances where users were slowed down in completing tasks by; 1) lack of explicit instruction, 2) lack of confirmation that an action had been taken, and 3) inability to navigate within the site. Users could often trial and error their way around these issues and still complete the task, but not efficiently. The bulk of redesign efforts by programmers were spent on addressing moderate errors. Critical errors that negatively affected task completion for non-critical tasks all related to page loading issues, links not redirecting and pop up text not appearing as intended) and were easy for programmers to remedy. Bandwidth issues related to the remote testing software (Elluminate Live!) was a significant mitigating factor for several participants, affecting how quickly pages and videos loaded on the shared screen. This was evidenced in the variability of scores for page and video loading measures (see Table 2, items #11 and #12) but was not an issue with the Breathe site itself.

Table 3 Severity level of usability issues identified in Cycle 1 and Cycle 2

Satisfaction

As the IRIS platform that supports the Breathe intervention allows for a highly dynamic experience for users, it was not surprising that satisfaction was defined and described by users in multiple ways: site aesthetics; relevant content, interactivity, self-direction, and trust.

Site aesthetics

Consistent with other research in the field, site aesthetics was identified by both test groups as critical to overall usability and satisfaction [42, 43]. Both user groups generally found the site to be user-friendly and visually pleasing (Table 2, item #8). During Cycle 1 most users commented on areas where the content might be “chunked” into smaller amounts of text and more visual assets (i.e., graphics, images, videos) included. All participants commented positively about the quality and age-appropriateness of videos, images, animations, logo, and “comic book” style illustrations but suggested adding more visual cues for key concepts. The desire for additional visual assets was the most frequently cited usability issue for both cycles of testing, with young people proposing more aesthetic enhancements than clinicians. Table 4 provides examples of both positive and negative comments made in relation to site aesthetics. Examples of how the research team addressed issues raised by testers are also provided.

Table 4 Examples of feedback on aesthetic, content and learnability elements of Breathe

Intervention content

Overall, both young people and clinicians were positive about the age-appropriateness of the program content (Table 2, item #15); its relevance for use by anxious adolescents (Table 2, item #14) and the length of each module (Table 2, item # 6). Clinician responses to interview questions confirmed that, from a therapeutic standpoint, the program included key CBT skills and adequate therapeutic support when needed. Recommendations made by clinicians focused predominantly on risk-endorsement protocols and the proper messaging for adolescents around substance abuse, self-harm and suicidal ideation. As clinicians were not viewing the staff side of the intervention they often wanted to confirm when and how the Anxiety Expert providing support during program use would be notified of user responses. Both young people and clinicians felt that the program would be helpful for adolescents with mild-moderate levels of anxiety, and liked that the program provided a scaffold for users to translate information into behaviour change (progressive exposure to their feared situations) as opposed to just providing information about anxiety.

Interactivity and self-direction

Participants were positive about the adaptive tailoring features of the IRIS and suggested that this was a critical feature for keeping young people engaged in the intervention over time. While automated personalization was seen as a strength, youth testers also provided feedback about their desire for control over aspects of program workflow (e.g., wanting to decide for themselves if parents should be notified of intervention progress; ability to see a summary of their progress over time, ability to self-select when and how often reminder emails were sent to them). The most common suggestions for additional personalization included: 1) additional space for expression (e.g., places to write out comments, having an ‘other’ option included in a list), and 2) additional choices (e.g., less yes/no options or required answers). Additional opportunity for open-ended comments and more opportunity for program users to select from among a range of options were added. Being designed as a largely self-directed intervention, young people’s responses to questions around ease of use (Table 2, item#1) and ease of navigation (Table 2, item # 2) were especially promising indicators of how easily they could navigate the program on their own.

Clinicians commented several times about legal and regulatory issues around parental involvement in the program (i.e., when parents HAD to be notified of issues, age of consent, protection under Freedom of Information and Protection of Privacy (FOIPOP), etc.). While still acknowledging that young people needed a certain degree of autonomy in the intervention, clinicians were concerned about formal rules around privacy. Young people’s comments tended to focus more on the practice of privacy, of deciding how much information parents received and when. Young people were very positive about how the intervention allowed them more freedom to be honest, to work at their own pace and in their own time. Youth did not show the same concern about online security of their information and did clinicians.

Trust and credibility

Prior to conducting the usability testing, three of the four (75 %) young people participants indicated they generally held negative attitudes about Internet-based health care and preferred to access mental health resources from their health care provider. During testing sessions young people in particular emphasized concerns about online privacy and credibility. During Cycle 1 testing both young people and clinicians suggested a more transparent/personalized view of the study team (e.g., photos, credentials prominently displayed) and evidence of the program’s credibility/usefulness (e.g., testimonials, endorsements, overview of CBT approaches). Access to the Anxiety Expert via a messaging feature, personal phone follow-up and secure e-mail interaction was frequently noted by test users as a benefit of the program and something that provided a sense of credibility and trust. Two young people commented on how just knowing that “someone” was there was comforting and reassuring even if they never needed to access that part of the intervention. To further enhance this program feature we created an “Our Team” page on the site, which included cartoon portraits of team members along with biographies, and more prominent display of partnering institution logos. The “Ask an Anxiety Expert” feature was also described in the virtual tour video so users would be aware that this feature was available to them during program use.

Discussion

The iterative approach used in this study enabled us to determine that our Internet-based CBT program was easy to use and understand, was efficient with relevant content, and provided satisfactory user experience. Participants generated innovative suggestions on ways that the Breathe program’s user interface and content could be improved. Although recruitment of youth for health research is frequently cited as challenging [44] our study results suggest that engagement with young people during early phases of intervention development is critical for tailoring online therapeutic interventions to what young people think works and why.

This study highlights the value of conducting formal usability testing to ensure new Internet-based treatments to deliver evidence-based care are usable and developmentally appropriate for the desired population. Our usability testing results included differences in how clinicians and youth may approach Internet-based interventions—with different kinds of scepticism or apprehension. Future research could examine the implementation and decision-making processes used by different stakeholder groups for using online therapeutic interventions. Clinicians in our study focused more on legalities and mechanisms of risk-management in an online environment whereas youth focused more on transparency and personal autonomy (e.g., who was providing oversight, whether parents were involved).

Given that adolescents are more confident technology users and are increasingly accessing information online [45] it was not surprising that the young people in this study found the program easy to use. The young people’s satisfaction with the Breathe program and willingness to revisit the Website again was in contrast to their initial endorsement of negative attitudes towards online health care and preferences for accessing mental health information directly from health care professionals. Although this study involved only a small sample, the role of negative expectations or negative prior online experiences are important potentially mediating factors to explore in future research [46]. All youth participants made multiple comments related to credibility or privacy issues and their impact on ‘buy-in’ for using the intervention. While young people in our study voiced satisfaction with the safeguards (e.g., password protected login, optional parent involvement) and credibility of the Breathe program team, they advocated for increased transparency and explicit information on who was providing oversight. This suggests that if credibility issues are not sufficiently addressed, potential users may not commit to the program, regardless of how engaging and interactive the content may be [47]. Clinicians integrating Internet-based technologies as adjunct to face-to-face treatment with youth may benefit from discussing security/data and credibility concerns with youth up-front and exploring individual preferences for technology-based support. This may be especially true for anxious youth who often face additional challenges in developing computer-mediated therapeutic alliance [48]. Although recent research has examined age related differences in assessing the credibility of Internet-based programs [49, 50], the mechanisms of how perceptions of credibility affect program engagement are still not understood. Clinicians in our study focused less on this aspect of the program compared to young people which suggests that assumptions about young people’s enthusiasm for or preferences related to Internet-based health interventions should be tested empirically [51].

Our findings extend the body of research on usability of Internet-based mental health interventions to show that remote usability testing can produce valuable data and allow for testing with a geographically diverse group. Our study demonstrates that young people can be enthusiastic test users but comparative usability research on age-related difference in testing techniques (e.g., talk aloud, cognitive walkthrough) and testing modality (e.g., remote online versus face-to-face laboratory) is still needed [52, 53]. In our study, young people were eager and able to identify and articulate aesthetic, content and functionality problems while also providing specific suggestions for developers on how to solve problems or enhance the program.

This study was limited by sample size. A more diverse sample (age, geography: rural versus urban residence, technology use) would have allowed us to examine whether personal or experiential factors (motivational attributes, computer confidence, computer expertise) were related to satisfaction. In keeping with usability testing recommendations, our sample was sufficient to identify the large majority of usability issues [54]. It has been estimated that a single usability testing cycle with 5 to 10 users can lead to as much as a 10-fold reduction in issues [55]. By completing two usability cycles, even with a small sample size, we ensured a significant overall reduction in program usability errors prior to feasibility testing.

Conclusions

This usability study provides evidence for the learnability, efficiency and reliability of a Internet-based CBT program for anxious young people. Iterative testing provided crucial technical and design feedback needed to improve young people’s experience with the intervention. Testing also provided important insights into interactions between context, content and user; particularly how expectations may affect subjective usability results. Breathe is now being evaluated in a pilot randomized controlled trial where issues of feasibility and usability can be further explored with a larger group of youth participants.

Abbreviations

(ASD):

Agile software development

(CBT):

Cognitive behavioural therapy

(CMHA):

Canadian Mental Health Association

(FOIPOP):

Freedom of Information and Protection of Privacy

(IRIS):

Intelligent Research and Intervention Software

(SPSS):

Statistical Package for the Social Sciences

(SUPR-Q):

Standardized User Experience Percentile Rank Questionnaire

(SUS):

System Usability Scale

(UX):

User experience design

References

  1. Merikangas KR, He JP, Burnstein M, Swanson SA, Avenevoli S, Cui L, et al. Lifetime prevalence of mental disorders in U.S. adolescents: results from the National Comorbidity Survey Replication – Adolescent Supplement (NCS-A). J Am Acad Child Adolesc Psychiatry. 2010;49(10):980–9.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Merikangas KR, He JP, Burnstein M, Swendsen J, Avenevoli S, Case B, et al. Service utilization for lifetime mental disorders in U.S. adolescents: Results of the National Comorbidity Survey Replication – Adolescent Supplement (NCS-A). J Am Acad Child Adolesc Psychiatry. 2011;50(1):32–45.

    Article  PubMed  Google Scholar 

  3. Boydell KM, Pong R, Volpe T, Tilleczek K, Wilson E, Lemieux S. Family perspectives on pathways to mental health care for children and youth in rural communities. J Rural Health. 2006;22:182–8.

    Article  PubMed  Google Scholar 

  4. Diaz-Granados N, Georgiades K, Boyle MH. Regional and individual influences on use of mental health services in Canada. Can J Psychiatry. 2010;55:9–20.

    PubMed  Google Scholar 

  5. Thomas CR, Holzer CE. The continuing shortage of child and adolescent psychiatrists. J Am Acad Child Adolesc Psychiatry. 2006;45:1023–31.

    Article  PubMed  Google Scholar 

  6. Reid GJ, Brown JB. Money, case complexity, and wait lists: Perspectives on problems and solutions at children’s mental health centers in Ontario. J Behav Health Serv Res. 2008;35:334–46.

    Article  PubMed  Google Scholar 

  7. Gulliver A, Griffiths K, Christensen H. Perceived barriers and facilitators to mental health help-seeking in young people: a systematic review. BMC Psychiatry. 2010;10:113.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Gould MS, Velting D, Kleinman M, Lucas C, Thomas JG, Chung M. Teenagers' attitudes about coping strategies and help-seeking behavior for suicidality. J Am Acad Child Adolesc Psychiatry. 2004;43(9):1124–33.

    Article  PubMed  Google Scholar 

  9. Kelly CM, Jorm AF, Wright A. Improving mental health literacy as a strategy to facilitate early intervention for mental disorders. Med J Aust. 2007;187(7 Suppl):S26–30.

    PubMed  Google Scholar 

  10. Ciarrochi J, Heaven PC, Supavadeeprasit S. The link between emotion identification skills and socio-emotional functioning in early adolescence: a 1-year longitudinal study. J Adolesc. 2008;5:565–82.

    Article  Google Scholar 

  11. Rickwood D, Bradford S. The role of self-help in the treatment of mild anxiety disorders in young people: an evidence-based review. Psychol Res Behav Manag. 2012;5:25–36.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Richardson T, Stallard P, Velleman S. Computerised cognitive behavioural therapy for the prevention and treatment of depression and anxiety in children and adolescents: A systematic review. Clin Child Fam Psychol Rev. 2010;13:275–90.

    Article  PubMed  Google Scholar 

  13. Skinner H, Biscope S, Poland B, Goldberg E. How adolescents use technology for health information: Implications for health professionals from focus group studies. J Med Internet Res. 2003;5(4), e32.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Calear AL, Christensen H. Review of internet-based prevention and treatment programs for anxiety and depression in children and adolescents. Med J Aust. 2010;192(11 Suppl):12–4.

    Google Scholar 

  15. Silverman WK, Pina AA, Viswesvaran C. Evidence-based psychosocial treatments for phobic and anxiety disorders in children and adolescents. J Clin Child Adolesc Psychol. 2008;37(1):105–30.

    Article  PubMed  Google Scholar 

  16. Ollendick TH1, Jarrett MA, Grills-Taquechel AE, Hovey LD, Wolff JC. Comorbidity as a predictor and moderator of treatment outcome in youth with anxiety, affective, attention deficit/hyperactivity disorder, and oppositional/conduct disorders. Clin Psychol Rev. 2008;28(8):1447–71.

    Article  PubMed  Google Scholar 

  17. Kendall PC. Treating anxiety disorders in children: results of a randomized clinical trial. J Consult Clin Psychol. 1994;62(1):100–10.

    Article  CAS  PubMed  Google Scholar 

  18. Seligman LD, Ollendick TH. Cognitive-behavioral therapy for anxiety disorders in youth Child. Adolesc Psychiatr Clin N Am. 2011;20(2):217–38.

    Article  Google Scholar 

  19. Rialon Berry R, Lai B. The Emerging Role of Technology in Cognitive–Behavioral Therapy for Anxious Youth: A Review. J Ration-Emotive Cogn-Behav Therapy. 2014;32(1):57–66.

    Article  Google Scholar 

  20. Khanna MS, Kendall PC. Computer-assisted cognitive behavioral therapy for child anxiety: Results of a randomized clinical trial. J Consult Clin Psychol. 2010;78(5):737–45.

    Article  PubMed  Google Scholar 

  21. Amir N, Taylor CT. Combining computerized home-based treatments for generalized anxiety disorder: an attention modification program and cognitive behavioral therapy. Behav Ther. 2012;43(3):546–59.

    Article  PubMed  Google Scholar 

  22. Spence SH, Donovan CL, March S, Gamble A, Anderson RE, Prosser S, et al. A randomized controlled trial of online versus clinic-based CBT for adolescent anxiety. J Consult Clin Psychol. 2011;79(5):629–42.

    Article  PubMed  Google Scholar 

  23. Filbert K, Huguet A, Hundert A, McGrath PJ, Perri K, Turner K, & Wozney L. Promoting eHealth in Research and Clinical Practice: A Snapshot of Studies Conducted by the Centre for Research in Family Health (CRFH) at the IWK Health Centre. Psynopsis 2013: (Summer):22 &25.

  24. McGrath PJ, Lingley-Pottie P, Thurston C, MacLean C, Cunningham C, Waschbusch DA, et al. Telephone-based mental health interventions for child disruptive behavior or anxiety disorders: randomized trials and overall analysis. J Am Acad Child Adolesc Psychiatry. 2011;50(11):1162–72.

    Article  PubMed  Google Scholar 

  25. Friedberg RD, McClure JM. Clinical practice of cognitive therapy with children and adolescents: The nuts and bolts. New York: Guilford Press; 2002.

    Google Scholar 

  26. Morrison LG, Yardley L, Powell J, Michie S. What design features are used in effective e-health interventions? A review using techniques from critical interpretive synthesis. Telemed J E Health. 2012;18(2):137–44.

    Article  PubMed  Google Scholar 

  27. Goldberg L, Lide B, Lowry S, Massett HA, O'Connell T, Preece J, et al. Usability and accessibility in consumer health informatics: current trends and future challenges. Am J Prev Med. 2011;40(5 Suppl 2):S187–97.

    Article  PubMed  Google Scholar 

  28. Breakey VR, Warias AV, Ignas DM, White M, Blanchette VS, Stinson JN. The value of usability testing for Internet-based adolescent self-management interventions: “Managing Hemophilia Online”. BMC Med Inform Decis Mak. 2013;4(13):113.

    Article  Google Scholar 

  29. Jaspers MWM. A comparison of usability methods for testing interactive health technologies: Methodological aspects and empirical evidence. Int J Med Inform. 2009;78(5):340–53.

    Article  PubMed  Google Scholar 

  30. Yen PY, Bakken S. Review of health information technology usability study methodologies. J Am Med Inform Assoc. 2012;19(3):413–22.

    Article  PubMed  Google Scholar 

  31. Gothfelf, J.; Lean UX. Applying Lean Principles to Improve User Experience; O'Reilly Media; February 22, 2013.

  32. Ambler SW. Tailoring usability into agile software development projects, Maturing Usability. London: Springer; 2008. p. 75–95.

    Google Scholar 

  33. Andreasen MS, Nielsen HV, Schroder SO, Stage J. What happened to remote usability testing? An empirical study of three methods. Proceedings of the SIGCHI conference on Human factors in computing systems. ACM, 2007.

  34. United Nations Youth. In: United Nations Department of Economic and Social Affairs (UNDESA). 2011. http://apps.who.int/adolescent/second-decade/section2/page1/recognizing-adolescence.html. Accessed 15 Dec 2015.

  35. Nielsen J. Usability Engineering. San Francisco: Morgan Kaufmann; 1994.

    Google Scholar 

  36. Lewis C, Wharton C. Cognitive Walkthroughs. In: Helander M, editor. Handbook of Human-Computer Interaction. Amsterdam: Elsevier; 1997. p. 717–32.

    Chapter  Google Scholar 

  37. Bangor A, Kortum P, Miller J. Determining what individual SUS scores mean: Adding an adjective rating scale. J Usability Studies 2009;4(3):114–123.

    Google Scholar 

  38. Sauro J, Lewis J. Quantifying the User Experience: Practical Statistics for User Research. San Francisco: Morgan Kaufmann; 2012.

    Google Scholar 

  39. Lewis JR. Sample Sizes for Usability Studies: Additional Considerations. Hum Factors. 1994;36(2):368–78.

    CAS  PubMed  Google Scholar 

  40. Dumas JS, Molich R, Jeffries R. Describing usability problems: Are we sending the right message. Interact 2004, July-August:24-29.

  41. Rubin J, Chisnell D. Handbook of Usability Testing: How to Plan, Design and Conduct Effective Tests. Indianapolis: Wiley Publishing; 2008.

    Google Scholar 

  42. David A, Glore P. The Impact of Design and Aesthetics on Usability, Credibility, and Learning in Online Courses. In J. Sanchez & K. Zhang (Eds.), Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education; 2010 (p. 42). Chesapeake, VA: AACE.

  43. Tractinsky N, Katz A, Ikar D. What is beautiful is usable. Interacting with Comput. 2000;13(2):127–45.

    Article  Google Scholar 

  44. Amon KL, Campbell AJ, Hawke C, Steinbeck K. Facebook as a Recruitment Tool for Adolescent Health Research: A Systematic Review. Acad Pediatr. 2014;14(5):439–47.

    Article  PubMed  Google Scholar 

  45. Lenhart A, Purcell K, Smith A, Zickuhr K. Social media and mobile internet use among teens and young adults. [http://www.pewinternet.org/Reports/2010/Social-Media-and-Young-Adults.aspx] Accessed 15 Dec 2015.

  46. Zack SE, Castonguay LG, Boswell JF. Youth working alliance: a core clinical construct in need of empirical maturity. Harv Rev Psychiatry. 2007;15(6):278–88.

    Article  PubMed  Google Scholar 

  47. Raita A, Antti O. Too good to be bad: Favorable product expectations boost subjective usability ratings. Interacting with Comput. 2011;23(4):363–71.

    Article  Google Scholar 

  48. Chu BC, Choudhury Khanna MS, Shortt A, Pincus D, Creed T, Kendall PC. Alliance, technology, and outcome in the treatment of anxious youth. Cogn Behav Pract. 2004;11(1):44–55.

    Article  Google Scholar 

  49. Liao QV, Fu WT. Age differences in credibility judgments of online health information. ACM Trans Comput-Human Interact (TOCHI). 2014;21(1):2.

    Article  Google Scholar 

  50. Flanagin A, Metzger M. That's Incredible: Students' Judgements about the Credibility of Online Information. Teacher. 2011;10–12.

  51. Ranney ML, Choo EK, Spirito A, Mello MJ. Adolescents' preference for technology-based emergency department behavioral interventions: does it depend on risky behaviors? Pediatr Emerg Care. 2013;29(4):475–81.

    Article  PubMed  Google Scholar 

  52. Markopoulos P, Bekker M. On the assessment of usability testing methods for children. Interacting with Comput. 2003;15(2):227–43.

    Article  Google Scholar 

  53. Hanna L, Risden K, Czerwinski M, Alexander K. The role of usability research in designing children’s computer products. In: Druin A, editor. The Design of Children’s Technology. San Francisco: Morgan Kaufman; 1999.

    Google Scholar 

  54. Faulkner L. Beyond the five-user assumption: benefits of increased sample sizes in usability testing. Behav Res Methods Instrum Comput. 2003;35(3):379–83.

    Article  PubMed  Google Scholar 

  55. Kushniruk A. Evaluation in the design of health information systems: application of approaches emerging from usability engineering. Comput Biol Med. 2002;32(3):141–9.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

We would like to acknowledge the contributions of Hilary Fast and Laura Cleghorn who participated in the acquisition of data and data analysis. This study was funded by the Canadian Institutes of Health Research (CIHR) (FRN 119531). Dr. Newton holds a CIHR New Investigator Award.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lori Wozney.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

LW coordinated the usability study, participated in data analysis and drafted the manuscript. PB participated in designing the study, interpretation of results and provided significant contributions to the manuscript. ASN provided supervision during the usability study and significant contributions to the manuscript. All authors read and approved the final manuscript.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wozney, L., Baxter, P. & Newton, A.S. Usability evaluation with mental health professionals and young people to develop an Internet-based cognitive-behaviour therapy program for adolescents with anxiety disorders. BMC Pediatr 15, 213 (2015). https://doi.org/10.1186/s12887-015-0534-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12887-015-0534-1

Keywords