Published on in Vol 7, No 2 (2019): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10401, first published .
Empowering Young People Living With Juvenile Idiopathic Arthritis to Better Communicate With Families and Care Teams: Content Analysis of Semistructured Interviews

Empowering Young People Living With Juvenile Idiopathic Arthritis to Better Communicate With Families and Care Teams: Content Analysis of Semistructured Interviews

Empowering Young People Living With Juvenile Idiopathic Arthritis to Better Communicate With Families and Care Teams: Content Analysis of Semistructured Interviews

Original Paper

1Division of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, MN, United States

2Karolinska Institutet, Department of Women and Child Health, Karolinska University Hospital, Stockholm, Sweden

3Upstream Dream, Bromma, Sweden

Corresponding Author:

Stuart W Grande, MPA, PhD

Division of Health Policy and Management

School of Public Health

University of Minnesota

420 Delaware St SE

Minneapolis, MN, 55455

United States

Phone: 1 612 625 3790

Email: sgrande@umn.edu


Background: Young people living with juvenile idiopathic arthritis (JIA) face a number of communication barriers for achieving optimal health as they transition from pediatric care into adult care. Despite growing interest in mobile or wireless technologies to support health (mHealth), it is uncertain how these engagement tools might support young people, their families, and care teams to optimize preference-based treatment strategies.

Objective: This study aims to examine how an mHealth patient support system (mPSS) might foster partnership between young people living with JIA, their families, and care teams.

Methods: Semistructured interviews with young people (5-15 years old), their families, and JIA care teams were conducted using researcher-developed interviews guides. Transcribed data were qualitatively analyzed using conventional content analysis.

Results: We conducted semistructured interviews with 15 young people, their parents, and 4 care team members. Content analysis revealed the potential of an mPSS to support productive dialogue between families and care teams. We identified four main themes: (1) young people with JIA face communication challenges, (2) normalizing illness through shared experience may improve adherence, (3) partnership opens windows into illness experiences, and (4) readiness to engage appears critical for clinic implementation.

Conclusions: A human-centered mPSS design that offers JIA patients the ability to track personally relevant illness concerns and needs can enhance communication, generate consensus-based treatment decisions, and improve efficiency and personalization of care. Technology that supports continuous learning and promotes better understanding of disease management may reduce practice burden while increasing patient engagement and autonomy in fostering lasting treatment decisions and ultimately supporting personalized care and improving outcomes.

JMIR Mhealth Uhealth 2019;7(2):e10401

doi:10.2196/10401

Keywords



Young people living with juvenile idiopathic arthritis (JIA) face a number of communication barriers for achieving optimal health. JIA is one of the most common acquired chronic diseases during childhood and affects both short-term and long-term disability. JIA may develop at any age during childhood, and girls are more often affected than boys. Nomenclature as well as classification of JIA have been controversial. In an attempt to develop globally accepted terminology and criteria, the International League against Rheumatism (ILAR) introduced the term JIA [1]. Using the ILAR criteria, a Nordic population-based epidemiological study reported a JIA incidence of 15 per 100,000 [2]. JIA is not a single disease but rather a heterogeneous group of diseases, divided into seven different subgroups, within which three major onset subtypes can be identified: (1) systemic JIA, a systemic form with rash, fever, and commonly perimyocarditis, (2) polyarthritis with 5 or more joints involved, and (3) oligoarthritis (or pauciarticular JIA) with 4 or fewer joints involved.

Among young people, JIA can be quite painful and lasting well into adulthood. While many experience resolution of their disease, 50% will live with chronic arthritis into adulthood [3]. Although the disease is self-limiting in some children, it is not possible at the onset of disease to predict which child will recover and which will have a lifelong challenge. Early diagnosis and active therapeutic interventions are essential to minimize residual deformity and disability due to irreversible consequences of the disease such as joint destructions, asymmetric bone growth, and vision impairment. The treatment for JIA is multifaceted and requires a combination of monitoring, physical therapy, joint injections, medications, and sometimes surgery [4]. Although optimal treatment of JIA varies extensively by individual patient, making it highly preference-sensitive, research on preferences among young people living with JIA is minimal. A review of 27 studies found that children with JIA fear being seen as different from their peers and are interested in seeking health information to manage their own illness [3]. In other words, the preferences of young people reported in these studies appear focused on developing autonomy around care management [5]. For many young people who are optimistic about their future, these tools offer novel approaches that guide a process for making informed decisions about their care and social needs.

As widely recommended, the best way to determine the most appropriate treatment options, where uncertainty is high, are through assessing patient values, priorities, and experiences as part of preference elicitation [6-8]. Research suggests that children who are actively engaged in treatment consultations with parents may improve their confidence in managing JIA into adulthood [9,10]. By continuing to support children, youth, and adolescents with information, social support, and active involvement in the management of their illness, their confidence and long-term health may improve [3]. Over the last 20 years, researchers have been working on building tools to help patients with chronic conditions better communicate preferences with clinicians. Patient engagement tools like decision aids have shown that adult patients are more knowledgeable, better informed, understand their values, and may be more engaged in decision making than previously thought [11], but there is little comparable evidence for young people.

Approaches to minimize the effects of JIA on young people vary widely, and their success is often very personalized to the individual. One study evaluating a decision aid for children with JIA found that the tool had high acceptability but lower efficacy, leading authors to call for more innovative approaches to using decision aids and assessing outcomes among children [12]. A review of mobile phone and tablet apps that support personal management of illness in young people found that apps for diabetes, asthma, and chemotherapy recovery show some impact on monitoring and adherence, but the strength of evidence is weak [13]. Others examined an online decision aid for patients with rheumatoid arthritis and found that decision comfort and knowledge improved [14]. In one example, a group in Canada that designed an iPhone app for adolescents with cancer called Pain Squad+, found that applying a user-centered design strategy led to an acceptable and effective tool for the self-management of pain [15]. While evidence points to strengths of online tools for promoting self-management and guiding patient preference, there appears to be less evidence regarding online interventions or apps designed with the intention of promoting partnership, collaboration, or consensus between young people, families, and clinicians/care teams.

The benefits of using the Internet to search for information related to illness and JIA are well known, yet the documented benefits for online peer-support for young people is less robust [16]. Recent evidence of other applications for engaging young people in mobile apps for self-management demonstrate high acceptability and usability [17]. There is also evidence in other fields that peer-support has emerged naturally in online environments, where the benefits appear based on personal preferences for use, ease of access, and interaction with others who face similar challenges [18]. This suggests that online tools or apps should be meaningful to those who use them and will benefit those who take time to engage with them online [13]. The question remains how these newer technologies may best support young people to develop skills in self-management and treatment decision making that will serve them into adulthood.

In addition, developing tools to support the adolescent transition to long-term self-management in JIA are needed [19]. Research has called for shifting habits of clinician-centered problem solving to an expanded understanding of patient experience [20,21], arguably demonstrating a more general demand for co-produced care plans [22]. Conceptually, co-production reorients traditional models of care delivery towards a more patient-centered or person-centered approach. In practice, this has involved clinicians supporting a standardized assessment of patients, applying guidelines to inform care and offering non-narcotic medication management protocols [23-25]. Other patient-centered approaches include pre-visit planning by giving evidence-based information and advocacy tools to guide preference development to enhance decision making at the point of care [26]. When it comes to developing communication skills for young people as they transition from parent/clinician-supported decision-making models to more autonomous decision-making ones, the best approaches are less understood. While the challenges of communicating with young people with JIA have been well described [27], a major contributing factor to reduced quality of care outcomes for young people with JIA is poor adherence to treatment [28,29]. Adolescence is a critical time for developing long-term healthy habits as adults, and while online and mHealth skill development for self-management is suggested, there is little evidence on how best to build and evaluate these skills [27].

The purpose of this study was to examine how an mHealth Patient Support System (mPSS) could help improve health communication between young people, their parents, and their care team. This study examined how Genia might ready young people with chronic illness for their inevitable transition to adult care. Specifically, we explored how the mPSS influenced the engagement in self-management of JIA and communication between young people, their families, and their clinical care providers.


Genia is an iOS-based mPSS designed to establish patient, family, and care team partnerships, with an emphasis on placing the young person at the center of the decision-making process (Figure 1). As a platform and mPSS, Genia was designed with principles of user-based design [30], feed-forward systems [31], and concepts of co-production [22]. Core functionality of the mPSS were operationalized within a learning collaborative associated with the Lund Pediatric Cystic Fibrosis clinical microsystem. This meant that clinicians, researchers, family members, and cystic fibrosis patients were involved in iterative cycles of change from inception to completion of the mPSS. Key functionalities developed within the app were inspired and optimized by patients, viewed as experts in their disease and experience of care [32].

Further details of functionality are published elsewhere but summarized briefly here [32]. There is basic functionality for patient users to chat with other patient users in the app. All information entered into the app is private to users and their network. Users can, however, choose to share information with others by sending reports (ie, structured forms with specific questions for pre-visit planning) that also allow users to share self-selected daily observations and/or graphs of symptom/assessment tracking for discussion (ie, a graph of self-reported pain and fatigue in the last month). Reports can be sent through the app to clinical care teams via application program interfaces that connect to clinic IT systems. Users can also choose to send reports to others (ie, family or friends) using a basic share function within an operating system, enabling them to share via email or instant messaging.

The mPSS also captures the patient experience using a series of daily observation “trackers” that allow the patient to record daily observations and perspectives. For example, one tracker permits patients to identify what they are feeling that day, a feature notable for young people who may not be used to calling attention to or labeling their feelings. Such patterns have been identified as contributing to emotional competence in young people and are supported by parent-child and other socialization models [33]. Another tracker allows a patient to record their level of physical activity, but more unique is a tracker that includes the patient’s social interests and their assessment of life with family and with friends. This distinguishing mPSS feature permits the young person to make note of important preferences, in this case needs, wants, and fears, for subsequent review with friends, family, or care teams. This form of emotional notation and engagement has been linked to childhood development of emotional regulation and positive social engagement [34,35].

Patient-reported daily observations enable young people to document their disease activity and preferences in real-time in between clinical visits. Each of these daily data points is collected into a dashboard that can be shared electronically with a patient-determined list of observers such as family or friends they can invite to their network. They can also include these dashboards in pre-visit reports to clinical care providers. For older children and adolescents, the patient is the locus-of-control, determining who has access, the level of interaction with the app, and the amount of data being shared. For younger pediatric patients, parents can serve as proxies by entering daily observations about their child into the app.

We approached the research aim from the perspective that subjective experiences in the scope of JIA are influenced by place, persons, and institutions. For this study the place was Sweden, the persons were children aged 5-15 years living with JIA and their parents, and the place of care was the largest pediatric rheumatology clinic in Sweden, at Astrid Lindgren Children’s Hospital, within Karolinska University located in Stockholm, Sweden.

Two Swedish research assistants conducted semistructured interviews with Swedish young people, their parents, and JIA care teams about their use of and reactions to the potential benefits of the mPSS. Two researcher-designed interview guides (Multimedia Appendices 1 and 2) were developed (one for families and another for clinical team members) with clinical and project partners to include the following domains: current use of technology, health communication between clinicians and patients, personal health tracking and symptom monitoring, preparation for clinic visits, and current illness management. Data collection and analysis were supported by a multidisciplinary team, which included a medical sociologist, a health care policy expert, and a developmental psychologist. This research team worked closely with Upstream Dream, the mPSS development team in Sweden that created Genia, to gain access to clinical care partners, understand clinic organizational dynamics, and examine product development history. The study was determined to be exempt from ethics review based on Common Rule 2 by the Committee (blinded for review) for the Protection of Human Subjects at Dartmouth during a blinded review. This study was approved by the Stockholm Ethical Committee, Stockholm, Sweden. Written consent was obtained from all patients/families by the clinicians participating in the study.

Figure 1. Genia flow diagram.
View this figure

Study Participants

Potential study participants were identified by clinical partners who already use the mPSS with some of their patients and families. Clinicians then sent recruitment letters to participants with a Genia brochure inviting them to participate. The JIA clinical care team invited patients to participate in the study. Consent involved reading an informational script including the study purpose, design, and goals. Families who agreed to participate were subsequently interviewed in-person by Swedish researchers at a location and time that were convenient. Interviews were conducted with parents and children together based on preference and ethical considerations. Some of the participants had not used the mPSS prior to being interviewed, while others had already started using the mPSS. All interviews were conducted in Swedish and later translated into English. The clinical care team interviews were led by the US research team and conducted face-to-face in English at the JIA clinics in Stockholm. The clinical care team included a physiotherapist, occupational therapist, and 2 physicians of the JIA clinic. Research team members provided the interview guide to the care team members prior to the interview to give adequate time to prepare responses in English.

Data Analysis

We conducted a conventional content analysis as described by Hsieh and Shannon [36]. Initial codes were developed independently by 2 researchers (ML and SG) using ATLAS.ti version 8.1.2. These first set of codes reflected interactions and observations by the research team from 2016-2017 as recruitment, design, and data collection were occurring. This initial code set was later updated through a second coding process based on the interview transcripts for both young people and families as well as care providers. All members of the research and clinical team who collected data spoke and wrote English fluently. To ensure accuracy of transcripts, 2 Swedish team members reviewed translations and confirmed translation with Swedish-American partners. Secondary codes were substantively related to the interview guide, in part because of how the guide was organized by domains, as well as due to the nature of the conversations that focused on specific JIA-related experiences. Following the second round of coding, the research team discussed emergent codes, which were labeled new language and concepts. Team members (SG and ML) developed memos (ie, a process of writing short descriptive narratives summarizing meaningful aspects of the data) during the coding and discussion process to draw attention to notable relationships in the codes. Team members (SG, ML, and GK) met several times over the course of 2017 to build consensus around grouping codes based on emergent and context-based themes. During the coding and subsequent consensus process, the Genia development team was asked to react to initial codes and offer alternative explanations and suggestions. Data saturation was assessed using an iterative process of constant comparison [37] throughout data collection and analysis phases. Upon a third review of data at 12 participants, the presence of language patterns and repeated concepts alerted team to potential saturation. The team agreed to three additional interviews to provide some methodological assurance that no new patient experiences were being missed or overlooked [38]. This iterative coding, memo writing, and theme building process mimics a type of data triangulation [39]. Final themes were developed by grouping codes around larger meaning units, whose content sufficiently reflected all data under consideration.


Study Participants

The age, gender, and disease information for the study participants are shown in Table 1.

The young people interviewed for this study ranged in age from 5-15 years old. There were 7 females in the group, and 13 of the 15 had used Genia prior to the interview. The time since diagnosis ranged from 1-14 years. We also interviewed four clinicians who used Genia as part of their routine practice: 2 medical doctors, 1 physiotherapist, and 1 occupational therapist. Patient interviews were conducted with both the young person and at least one parent present. The clinician interviews were conducted individually, except two, which included both the physiotherapist and occupational therapist together.

A content analysis of transcripts generated four themes that characterize attitudes and beliefs as well as fears and expectations on how an mPSS may foster a strategy for improving communication and achieving shared decision making in JIA treatment. Experiences of young people dealing with JIA every day reflected feelings of frustration and confusion, which we termed, “Young people with JIA face communication challenges.” While the data suggest there is a developmental difference between younger and older patients’ feelings about sharing their diagnosis status with friends, there was affirming content that supported a second idea we portrayed as, “Normalizing illness through shared experience may improve adherence.” When asked about the potential of technologies or current care processes, families spoke about the value of routine check-ins between visits and symptom updates. The habit of checking-in and preparing for visits appeared to lead to deeper engagement between young people and their parents. We described this concept as, “Partnership opens a window into illness experiences.” Interview data were further informed by clinician points of view, which included support for more informed patients and families as well as for recognizing the challenge of communicating with young people. More to the point of implementation and use of a novel technology in clinical practice, we observed wide support for an mPSS and called this idea, “Readiness to engage appears critical for clinic implementation.” We present supporting illustrative quotes drawn from transcripts to characterize the categories in the sections that follow.

Young people with Juvenile Idiopathic Arthritis face communication challenges

Young JIA patients, when they experienced pain, described feeling frustrated because people (often classmates) did not believe them, or the classmates believed they were lying to get out of an activity. This appeared to separate the young person from others, both physically and socially.

Patient 14 (14 years old): Everyone in my family is aware, so it’s okay. It’s hardest with classmates.
Interviewer: What do they say then?
Patient 14: One time there was one who said that I always blame everything on my foot.

We observed a tendency in these interviews for parents to describe interrupting the doctor’s visit to elaborate on details that either the child did not think was important or did not remember. These interruptions were viewed by young people as acceptable and often confirmatory.

Patient 7 (15 years old): I usually do it [the clinical visit] but sometimes Mom helps me to make it fair. Sometimes I say it doesn’t hurt at all, though it actually has been hurting also, then Mom jumps in [giggles].

We noticed that parents also have their own ways of dealing with their children’s pain and social struggles. Some have begun to reach out to other parents using social media platforms like Facebook, while others have talked with other parents in person. This reaching out for help reflects both the complexity and challenges of supporting children with JIA. Parents showed a desire to be helpful by wanting effective tools for their children but often lack the resources. The act of reaching out to other parents through Facebook groups underscored the importance and value of an mPSS designed to support parents to better understand their children’s illness and acquire the skills to better assist their children.

We observed young children talking about the benefits of working with their parents to help them communicate about pain and patterns in their eating and behavior. Some reflected how parents were motivated to help them develop techniques to manage their JIA independently. In one case this approach appeared to work.

Patient 10 (15 years old): Ehh...I often do not have so many of my own views. He [the clinician] usually asks me things. Sometimes I have my own questions, for example last year I had trouble with my knees, then my questions could be about that.
Mother: It’s mostly about how you’ve had it lately.
Interviewer: Do you usually go with him (asking the mother)?
Mother: Yes, I usually do. But we try to hand over it more and more to [my son] because he’s getting older. It is important now that he is moving over to adult care.
Interviewer: How do you feel about moving over to adult care?
Patient 10: Hmm...well it feels good.
Table 1. Description of participants.
ParticipantAge in yearsaSexJIA subtypebDuration of diseasec
Patient 111FemaleOligo JIA1 year
Patient 210MalePsA4 years
Patient 313FemaleERA2 years
Patient 412MaleOligo JIA3 years
Patient 511FemalePoly JIA1 year
Patient 65MaleOligo JIA2 years
Patient 715FemalePsA14 years
Patient 812MalePoly JIA4 years
Patient 915MaleUndifferentiated1 year
Patient 1015MalePsA2 years
Patient 1111MaleOligo JIA4 years
Patient 1214FemaleJIA5 years
Patient 1313FemaleOligo JIA1 year
Patient 1414FemalePoly JIA9 years
Patient 1514MaleJAS4 years

aThe average age of participants was 12.3 years (SD 2.3).

bSubtype for JIA: Oligo JIA=oligoarticular JIA, Poly JIA=polyarticular JIA, PsA=psoriatic JIA, ERA=enthesitis-related arthritis, JAS=juvenile ankylosing spondylitis, and undifferentiated=multisymptom JIA.

cThe average duration of disease was 3.8 years (SD 3.5).

We further noted that most young people and adolescents in the interviews were reluctant to complain about pain or discomfort. Many felt they were a burden on their parents. Reluctance to talk may also be linked to an inability to communicate feelings effectively or how they experienced pain. As one young person showed, reluctance may be a show of strength. For example, one young person expressed his feelings and attitudes on sharing symptoms, which may have signaled strength or fear. Certainly, the interjection by the parent in the following dialogue called our attention to the challenge of communication for both parents and their children.

Patient 9 (15 years old): It feels good.
Interviewer: Do you feel that you are telling him [the clinician] exactly how you feel?
Patient 9: Yes, I think so.
Mother: ...but he always says he’s better than he is.
Patient 9: No.
Mother: Yes.

Normalizing Illness Through Shared Experience May Improve Treatment Plan Adherence

There were some comments on connecting others with JIA through social media as a means of overcoming feelings of isolation and inability to offer help. The act of reaching out for connection may be a means of feeling normal or at least confirming that one is not alone. As we observed, younger children seemed uninterested in reaching out through social media. Yet, the fact that a 14-year old was attempting to connect virtually with others suggested that as young people age, they become more aware of their friends and social networks as sources of support.

Interviewer: Do you know how to get in touch and talk to peers?
Patient 12 (14 years old): Yes, those I’ve met I have on Snapchat and Instagram.
Interviewer: Do you have Facebook?
Patient 12: No, I don’t. But I have their numbers so I can call them.
Interviewer: The old way (ha-ha) Mother: ha-ha
Mother: (She) is in touch with some from her last rehab trip. Then also from her physical therapy, not just people with rheumatism, even people who need training.
Interviewer: How do you think it’s [nice] having friends who also have rheumatism?
Patient 12: Nice. The other day we sat up and talked and it was very nice.

We saw that young people seemed reliant on communicating with their parents, particularly when it came to navigating their relationship with their doctor or care provider. We noticed that this type of communication was not only about symptoms but about being empowered to communicate comfortably and build trust. Further, parents reflected on the power of sharing in a way their children felt confident when hearing.

Father of 11-year-old patient: Yes, absolutely. Since it is so reoccurring...and to be able to share how (she) feels, and how bad it is. If this could be possible through an app it would be great, both for us and for the doctors.

In one example, we saw parents being challenged to think about ways the mPSS may help support behaviors like monitoring pain or symptoms over time. This was seen widely as a way to improve their child’s awareness and self-management skills.

Interviewer: Do you have a diary about how you feel?
Mother: No, we do not actually. But I have it very much in my head all the time, but it’s the same all the time. But on the other hand, I think the app [Genia] can help because we do not remember the days that actually are good. It’s the misery most of the time. I think it would be great for [my daughter] to see her situation over time. So, she can see that she has better days.

The young people interviewed talked about the challenges of describing their pain and frustration with JIA, whether with physicians or friends. When asked about how Genia might contribute to talking about their JIA issues, several young people referred to the value of keeping a daily diary as a way to have better or more productive visits with their doctor.

Mother: He was so terribly afraid that it would not last (reduced pain). But then he started playing sports...living a normal life.
Interviewer: Do you remember how you felt?
Patient 15: It felt very strange at the beginning.
Mother: You came back to life.
Interviewer: Does your conversation help you manage your rheumatism?
Patient 15: Yes, it does.
Interviewer: Is there something good or less good?
Patient 15: I would say everything is good.
Interviewer: Do you keep a diary about how you feel?
Patient 15: No, only when I take syringes, then I fill it in in Genia. I think that kind of documentation is good for remembering when I talk to my doctor.

Overall feedback from young people related to the value of Genia, or potential of Genia’s functionality, suggested that diary entries and note-taking improved conversations with care teams, which helped families and young people remember benefits of certain medications and treatment decisions.

Partnership Opens a Window Into Illness Experiences

We heard from young people and their families that using a patient support tool to keep daily observations and reminders for routine updates was very helpful for developing strategies to communicate with providers.

Interviewer: In Genia you can send a report before a health care meeting, do you think that could be something for you?
Patient 12 (14 years old): Yes, for me at least.
Interviewer: In what way?
Patient 12: I have difficulties remembering. I mix things up. I cannot tell when something was, it could have been two weeks ago or two months ago.
Mother: Although we try to be a bit prepared, it is incredibly difficult.

At the same time, clinicians also believed there was real, meaningful value in young people and their parents being better prepared for their visit.

The data is helpful, and the registry really helps me see the patient condition over time – but it only shows data at a point in time (at the time of visits). It doesn’t help me understand what is going on in the patient’s life between visits. And if they aren’t communicative during the visit, or their feelings contradict those of their parents, then it is hard for me to truly understand the patient needs; it is hard for me to understand why the patients’ perceptions of their pain and quality of life is different than my perception.
[Physician 1]

While having informed young people and families might improve visit efficiency by targeting interests and generating focused questions, additional behavior changes appeared to guide strategies for improved clinical conversations. The clinicians we interviewed argued that the mPSS presented a connection into the lives of patients that was meaningfully different from routine practice: “For the first time, I feel part of her [patient’s] team” (Physician 1).

Readiness to Engage Appears Critical for Clinic Implementation

Patient monitoring following a care visit was expressed as a gap in care by clinicians. This has particular significance given that patients contend with a majority of their care challenges outside the clinic. The clinicians we interviewed shared an interest in being able to track or follow patient progress over time, which permits new and advantageous support systems: “With Genia, if we can get patients to send us status reports in between scheduled visits, then we can confirm what is working and try new ideas much more frequently” (Physician 2).

Besides the importance of tracking, clinicians reflected that engaging patients outside the clinic in meaningful and proactive ways was essential for improving communication during the clinic visit. In this way, clinicians recognized that the pre-visit data sharing feature of the mPSS app enabled more targeted and thoughtful interactions: “To improve pre-visit planning, to provide more time for dialogue with the patient during the visit, to help patients better understand what causes flare-ups and what therapy seems to work, and to provide a mechanism to track patients between visits” (Physician 1).

Other reactions highlighted the potential of the mPSS to modify routine practice. This was seen as a major improvement compared to standard care. One clinician pointed to gaps in current communication where patients are unable to speak to their symptoms, pain, or status: “When I asked how are you today, everyone says ‘fine’ but I don’t really have a clear picture. To know if there is something more I can do” (Physician 1).

Another clinician also emphasized the need for more robust efforts to guide patients prior to coming to their clinical visit. When asked if she understood the needs of her patients, one clinician suggested there was a need for improvement: “No, not really. Patients complete a long questionnaire when they get to the office, which captures responses based on industry standard instruments, but they don’t tell me [their] goals or key concerns” (Physiotherapist).

We noticed that the mPSS clarified the role of the patient, which fostered guided support and strengthened self-management skills. In fact, we saw that use of the mPSS in practice, with patients over time, appeared to change their behavior. In the case of one young person, a clinician commented that they would normally rely on the parent to share symptoms. After using the mPSS, this parent felt their child was able to do much more with the doctor: “The mother used to bring in a clipboard and do all of the talking, now the patient herself leads the conversation, leaving the mother a more bystander role” (Physician 1).


Principal Findings

A co-designed mobile patient support system that meaningfully engaged users beyond the clinic visit expanded opportunities for improving treatment strategies between young people, their families, and care teams. Through the promotion of consensus-building design features, we observed improved communication in young people and their parents about symptom recognition and pain characterization. As an mHealth app, Genia, appeared to hone communication skills that parents and clinicians believe ensure a healthy transition from pediatric to adult care—a space with clear unmet need. The insights for young people, families, and clinicians to enable more substantive, targeted, and authentic communication, where young people learn to reflect on symptoms without being prompted by their parents, was a novel finding. As a mobile phone app, the routine monitoring of symptoms and pain over time normalizes a type of sharing process that appears to ease disclosure and improve efficacy in young people and parents. This was particularly relevant for young people who felt isolated by this illness and struggled to disclose their experiences. While evidence has shown how integration of novel interventions into clinical practice can be difficult, clinicians who were ready and prepared to use a novel approach appeared to mitigate barriers to Genia implementation.

Comparison With Previous Research

With the explosive growth of and interest in mHealth initiatives, there seem to be endless opportunities for patients to engage the health system in new ways. This is one of the first studies to identify an mHealth app designed to modify communication strategies between patients, families, and care teams. Most mHealth interventions reviewed focus on self-management skill development rather than improving or optimizing patient-provider communication strategies [40]. For mHealth technology to advance behavior change strategies in young people living with JIA, more should be done to build skills that enhance consensus-building frames between patients, families, and care teams. Such an approach is consistent with the literature on the benefits of building a shared mind as a treatment strategy [41].

This study is a step towards being able to identify how an mHealth app, co-designed with patients, families, and care teams, helps identify what matters most, as well as ways of translating patient goals into actionable solutions. Focusing on principles of continuous learning and consensus building, the patient support system prioritizes processes of monitoring, reporting, and pre-visit planning to inform clinical communication. Despite the wide growth and interest in these novel technologies for improving access, there is mixed evidence on the long-term impact on patient health outcomes or behaviors [42]. This form of co-development has been well supported by health services research, which has pointed to the benefits of co-designed tools for behavior modification strategies [43-45].

A recent paper detailed the user-centered development and evaluation of an app, JIApp, which applied this same person-centered development framework and strongly supports our findings [17]. A key difference between JIApp and Genia is the co-design strategy focused on improving consensus for optimizing treatment decision making. The creators of JIApp aimed their intervention on self-management and engagement, primarily focused on “recording symptoms and encouraging self-management.” While collaboration is a key feature of patient-provider communication and self-management skills are associated with a higher quality of engagement, Genia as an mPSS was designed to modify patient-provider interaction and behaviors that likely influence consensus-building skills between young people, families, and care teams for long-term management of treatment. As mentioned previously, there is opportunity for users to chat with other users directly in the app. However, this functionality was rarely used by the participants in this study and we believe that there is more work to be done to explore how this peer-to-peer connection could be enhanced to support patients. While this is still a burgeoning area of investigation, more research is needed on understanding the co-design and implementation process of mHealth apps. Additional research is also needed to identify and measure ways that mHealth apps like Genia or JIApp modify communication responses for young people in transition from pediatric to adult care services. When compared against apps developed in isolation and often not in partnership with care providers, there is a clear benefit of co-designed apps that foster evidence-based approaches and direct input from end-users like patients and care providers [13]. Apps that support self-management and symptom management have higher potential for success, which supports the design and implementation of Genia as an mPSS [46].

What appears unique about the Genia approach in comparison to other published apps is the intentional strategy used to guide both patient and family engagement. The use of qualitative data to inform evidence on platforms that are most effective for patients has been suggested elsewhere [47]. Much of the current literature points to the strengths of mHealth to enhance self-management [42,48], tracking and monitoring [49], as well as routine behavior modification [50], and medicine adherence [42,51]. Usability testing of an online self-management health portal with adolescents with JIA and their parents underscored the importance of building these self-management platforms with user feedback, a key feature of any person-centered design [52]. Beyond the JIApp [17], there was no other evidence of mHealth apps developed to improve communication strategies or consensus-based strategies to enhance patient, family, and care team integration, particularly around the concept of shared reasoning [42]. Failures or limitations of other mHealth apps and strategies appear driven by a one-dimensional approach, which prioritizes biomarkers and tracking and fails to incorporate consensus building and communication skills. There is no question that mHealth initiatives are the way of the future; they are cheap, easy to build, and potentially highly accessible to large populations. The benefits of mHealth technology are that they are personal, adaptive, and sustainably designed. Yet, these benefits are hindered by a lack of clear standards of evaluation and measurement [53].

Limitations

Although our study had 15 participants and involved both families and young people, the data analysis included triangulated data sources to help clarify and validate responses. Due to the number of participants and their variation in ages and experiences, findings must be read with caution. Qualitative approaches have limited generalizability outside the scope of participants’ lived experiences and other clinical settings. The unique responses of parents, care team physicians, and young people discussed here provide insight into expectations and hopes for mHealth interventions, especially interventions designed with and for end-users.

While Genia was developed in partnership with a Karolinska clinical team along with patients and parents, there were many new processes and functionalities that should be considered “new” as they were not extracted or modified from a pre-existing mobile phone app. While other research on this mPSS had been done within cystic fibrosis, the unique nature of JIA required new design and functionalities determined within a pilot phase, which has been reflected in some of the work presented here. These data and findings provide a rich and context-specific perspective of how an mPSS was adopted, integrated, and utilized by a small sample of patients and clinicians in Sweden. The nature of the research question reviewed here and its supporting methodological approach contributed to valuable context-driven findings. However, these same methods are unable to provide insight into the long-term impact of mHealth apps like Genia on changes in self-management or communication skills for young people transitioning into adult care as well among adults who have experienced transition. Moving forward, designing a study to answer long-term impacts of young people’s use of mHealth apps for self-management of JIA will be an important contribution to determine the overall efficacy of an mPSS in improving self-management and associated communication skills.

Conclusions

A technology-enabled mPSS that meaningfully engages care providers to partner with patients, families, and their support networks permits novel care planning through the formation of a consensus-building strategy. We believe that offering patients the opportunity to engage friends, family, and their care team in developing treatment solutions may provide the emotional and clinical support they need to meet their personal health goals and sense of well-being.

Acknowledgments

We would like to thank the generosity of families who agreed to participate in this project and the hard work of Nathalie Ebel and Madeleine Grimhusen for conducting the interviews. We appreciate the scientific input at various phases of the study and editorial comments provided by Sarah Donelson and the program management provided by Raya Koury.

This work was funded as a collaborative research project with Genentech, Inc.

Conflicts of Interest

AH, MM, and RB are employees of Upstream Dream, a private company that developed the Genia app.

Multimedia Appendix 1

Semistructured interview guide.

PDF File (Adobe PDF File), 35KB

Multimedia Appendix 2

JIA care team interview guide.

PDF File (Adobe PDF File), 38KB

  1. Petty RE. Classification of childhood arthritis: a work in progress. Baillieres Clin Rheumatol 1998 May;12(2):181-190. [Medline]
  2. Berntson L, Andersson Gäre B, Fasth A, Herlin T, Kristinsson J, Lahdenne P, Nordic Study Group. Incidence of juvenile idiopathic arthritis in the Nordic countries. A population based study with special reference to the validity of the ILAR and EULAR criteria. J Rheumatol 2003 Oct;30(10):2275-2282. [Medline]
  3. Tong A, Jones J, Craig JC, Singh-Grewal D. Children's experiences of living with juvenile idiopathic arthritis: a thematic synthesis of qualitative studies. Arthritis Care Res (Hoboken) 2012 Sep;64(9):1392-1404 [FREE Full text] [CrossRef] [Medline]
  4. Giancane G, Consolaro A, Lanni S, Davì S, Schiappapietra B, Ravelli A. Juvenile Idiopathic Arthritis: Diagnosis and Treatment. Rheumatol Ther 2016 Dec;3(2):187-207 [FREE Full text] [CrossRef] [Medline]
  5. Shaw KL, Southwood TR, McDonagh JE, British Paediatric Rheumatology Group. User perspectives of transitional care for adolescents with juvenile idiopathic arthritis. Rheumatology (Oxford) 2004 Jun;43(6):770-778. [CrossRef] [Medline]
  6. Mulley AG, Trimble C, Elwyn G. Stop the silent misdiagnosis: patients' preferences matter. BMJ 2012 Nov 08;345:e6572. [CrossRef] [Medline]
  7. Politi MC, Street RL. The importance of communication in collaborative decision making: facilitating shared mind and the management of uncertainty. J Eval Clin Pract 2011 Aug;17(4):579-584. [CrossRef] [Medline]
  8. Elwyn G, Lloyd A, May C, van der Weijden T, Stiggelbout A, Edwards A, et al. Collaborative deliberation: a model for patient care. Patient Educ Couns 2014 Nov;97(2):158-164. [CrossRef] [Medline]
  9. Dures E. I90 Well-Being and the Ability to Self-Manage: The Support needs of Patients with Inflammatory Arthritis. Rheumatology 2016;55(Issue suppl_1):i18 [FREE Full text] [CrossRef]
  10. Lipstein EA, Muething KA, Dodds CM, Britto MT. "I'm the one taking it": adolescent participation in chronic disease treatment decisions. J Adolesc Health 2013 Aug;53(2):253-259. [CrossRef] [Medline]
  11. Stacey D, Légaré F, Lewis K, Barry MJ, Bennett CL, Eden KB, et al. Decision aids for people facing health treatment or screening decisions. Cochrane Database Syst Rev 2017 Dec 12;4:CD001431. [CrossRef] [Medline]
  12. Brinkman WB, Lipstein EA, Taylor J, Schoettker PJ, Naylor K, Jones K, et al. Design and implementation of a decision aid for juvenile idiopathic arthritis medication choices. Pediatr Rheumatol Online J 2017 Jun 05;15(1):48 [FREE Full text] [CrossRef] [Medline]
  13. Majeed-Ariss R, Baildam E, Campbell M, Chieng A, Fallon D, Hall A, et al. Apps and Adolescents: A Systematic Review of Adolescents' Use of Mobile Phone and Tablet Apps That Support Personal Management of Their Chronic or Long-Term Physical Conditions. J Med Internet Res 2015 Dec 23;17(12):e287 [FREE Full text] [CrossRef] [Medline]
  14. Li LC, Adam PM, Backman CL, Lineker S, Jones CA, Lacaille D, et al. Proof-of-concept study of a Web-based methotrexate decision aid for patients with rheumatoid arthritis. Arthritis Care Res (Hoboken) 2014 Oct;66(10):1472-1481 [FREE Full text] [CrossRef] [Medline]
  15. Jibb L, Cafazzo J, Nathan P, Seto E, Stevens B, Nguyen C, et al. Development of a mHealth Real-Time Pain Self-Management App for Adolescents With Cancer: An Iterative Usability Testing Study [Formula: see text]. J Pediatr Oncol Nurs 2017;34(4):283-294. [CrossRef] [Medline]
  16. van Pelt PA, Drossaert CHC, Kruize AA, Huisman J, Dolhain RJEM, Wulffraat NM. Use and perceived relevance of health-related Internet sites and online contact with peers among young people with juvenile idiopathic arthritis. Rheumatology (Oxford) 2015 Oct;54(10):1833-1841. [CrossRef] [Medline]
  17. Cai RA, Beste D, Chaplin H, Varakliotis S, Suffield L, Josephs F, et al. Developing and Evaluating JIApp: Acceptability and Usability of a Smartphone App System to Improve Self-Management in Young People With Juvenile Idiopathic Arthritis. JMIR Mhealth Uhealth 2017 Aug 15;5(8):e121 [FREE Full text] [CrossRef] [Medline]
  18. Naslund JA, Grande SW, Aschbrenner KA, Elwyn G. Naturally occurring peer support through social media: the experiences of individuals with severe mental illness using YouTube. PLoS One 2014;9(10):e110171 [FREE Full text] [CrossRef] [Medline]
  19. McDonagh JE. Has the gap been bridged yet? Young people in paediatric and adult rheumatology. Rheumatology (Oxford) 2013 Aug;52(8):1349-1351. [CrossRef] [Medline]
  20. Dures E, Hewlett S, Ambler N, Jenkins R, Clarke J, Gooberman-Hill R. Rheumatology clinicians' experiences of brief training and implementation of skills to support patient self-management. BMC Musculoskelet Disord 2014 Mar 28;15:108 [FREE Full text] [CrossRef] [Medline]
  21. Parker SJ, Chen EK, Pillemer K, Filiberto D, Laureano E, Piper J, et al. Participatory adaptation of an evidence-based, arthritis self-management program: making changes to improve program fit. Fam Community Health 2012;35(3):236-245 [FREE Full text] [CrossRef] [Medline]
  22. Batalden M, Batalden P, Margolis P, Seid M, Armstrong G, Opipari-Arrigan L, et al. Coproduction of healthcare service. BMJ Qual Saf 2016 Dec;25(7):509-517 [FREE Full text] [CrossRef] [Medline]
  23. Lee Y. Effect and treatment of chronic pain in inflammatory arthritis. Curr Rheumatol Rep 2013 Jan;15(1):300 [FREE Full text] [CrossRef] [Medline]
  24. Tzelepis F, Sanson-Fisher RW, Zucca AC, Fradgley EA. Measuring the quality of patient-centered care: why patient-reported measures are critical to reliable assessment. Patient Prefer Adherence 2015;9:831-835 [FREE Full text] [CrossRef] [Medline]
  25. DeWitt EM, Kimura Y, Beukelman T, Nigrovic PA, Onel K, Prahalad S, Juvenile Idiopathic Arthritis Disease-specific Research Committee of Childhood Arthritis RheumatologyResearch Alliance. Consensus treatment plans for new-onset systemic juvenile idiopathic arthritis. Arthritis Care Res (Hoboken) 2012 Jul;64(7):1001-1010 [FREE Full text] [CrossRef] [Medline]
  26. Savarino JR, Kaplan JL, Winter HS, Moran CJ, Israel EJ. Improving Clinical Remission Rates in Pediatric Inflammatory Bowel Disease with Previsit Planning. BMJ Qual Improv Rep 2016;5(1) [FREE Full text] [CrossRef] [Medline]
  27. Swallow V. Special issue on children, young people, and families living with long-term conditions. J Pediatr Nurs 2015;30(1):1-3. [CrossRef] [Medline]
  28. Bugni VM, Ozaki LS, Okamoto KYK, Barbosa CMPL, Hilário MOE, Len CA, et al. Factors associated with adherence to treatment in children and adolescents with chronic rheumatic diseases. J Pediatr (Rio J) 2012 Dec 20;88(6):483-488. [CrossRef]
  29. Coda A, Sculley D, Santos D, Girones X, Brosseau L, Smith DR, et al. Harnessing interactive technologies to improve health outcomes in juvenile idiopathic arthritis. Pediatr Rheumatol Online J 2017 May 16;15(1):40 [FREE Full text] [CrossRef] [Medline]
  30. Bate P, Robert G, Maher L. Bringing User Experience to Healthcare Improvement : The Concepts, Methods and Practices of Experience-Based Design. Oxford: Radcliffe Publishing; 2018.
  31. Hvitfeldt H, Carli C, Nelson E, Mortenson D, Ruppert B, Lindblad S. Feed forward systems for patient participation and provider support: adoption results from the original US context to Sweden and beyond. Qual Manag Health Care 2009;18(4):247-256. [CrossRef] [Medline]
  32. Longacre M, Grande SW, Hager A, Montan M, Bergquist R, Martensson M, et al. Clinical Adoption of mHealth Technology to Support Pediatric Cystic Fibrosis Care in Sweden: Qualitative Case Study. JMIR Pediatr Parent 2018 Dec 10;1(2):e11080 [FREE Full text] [CrossRef]
  33. Denham S. Dealing with feelings: How children negotiate the worlds of emotions and social relationships. Cognition, Brain, and Behavior 2007 Mar;11(1):1-48 [FREE Full text]
  34. Denham S. Social-Emotional Competence as Support for School Readiness: What Is It and How Do We Assess It? Early Education & Development 2006 Jan 03;17(1):57-89. [CrossRef]
  35. Koivula M, Huttunen K, Mustola M, Lipponen S, Laakso ML. The Emotion Detectives Game: Supporting the Social-emotional Competence of Young Children. In: Ma M, Oikonomou A, editors. Serious Games And Edutainment Applications: Volume II. New York: Springer; Mar 04, 2017:29-53.
  36. Hsieh HF, Shannon SE. Three approaches to qualitative content analysis. Qual Health Res 2005 Nov;15(9):1277-1288. [CrossRef] [Medline]
  37. Glaser BG. The Constant Comparative Method of Qualitative Analysis. Social Problems 1965 Apr;12(4):436-445. [CrossRef]
  38. Saunders B, Sim J, Kingstone T, Baker S, Waterfield J, Bartlam B, et al. Saturation in qualitative research: exploring its conceptualization and operationalization. Qual Quant 2018;52(4):1893-1907 [FREE Full text] [CrossRef] [Medline]
  39. Patton MQ. Enhancing the quality and credibility of qualitative analysis. Health Serv Res 1999 Dec;34(5 Pt 2):1189-1208 [FREE Full text] [Medline]
  40. Voruganti T, Grunfeld E, Makuwaza T, Bender JL. Web-Based Tools for Text-Based Patient-Provider Communication in Chronic Conditions: Scoping Review. J Med Internet Res 2017 Dec 27;19(10):e366 [FREE Full text] [CrossRef] [Medline]
  41. Epstein RM, Street RL. Shared mind: communication, decision making, and autonomy in serious illness. Ann Fam Med 2011;9(5):454-461 [FREE Full text] [CrossRef] [Medline]
  42. Hamine S, Gerth-Guyette E, Faulx D, Green BB, Ginsburg AS. Impact of mHealth chronic disease management on treatment adherence and patient outcomes: a systematic review. J Med Internet Res 2015 Feb 24;17(2):e52 [FREE Full text] [CrossRef] [Medline]
  43. Montori VM, Breslin M, Maleska M, Weymiller AJ. Creating a conversation: insights from the development of a decision aid. PLoS Med 2007 Aug;4(8):e233 [FREE Full text] [CrossRef] [Medline]
  44. Breslin M, Mullan RJ, Montori VM. The design of a decision aid about diabetes medications for use during the consultation with patients with type 2 diabetes. Patient Educ Couns 2008 Dec;73(3):465-472. [CrossRef] [Medline]
  45. Durand M, Alam S, Grande SW, Elwyn G. 'Much clearer with pictures': using community-based participatory research to design and test a Picture Option Grid for underserved patients with breast cancer. BMJ Open 2016 Feb 02;6(2):e010008 [FREE Full text] [CrossRef] [Medline]
  46. Whitehead L, Seaton P. The Effectiveness of Self-Management Mobile Phone and Tablet Apps in Long-term Condition Management: A Systematic Review. J Med Internet Res 2016 May 16;18(5):e97 [FREE Full text] [CrossRef] [Medline]
  47. Mechael P, Nemser B, Cosmaciuc R, Cole-Lewis H, Ohemeng-Dapaah S, Dusabe S, et al. Capitalizing on the characteristics of mHealth to evaluate its impact. J Health Commun 2012;17 Suppl 1:62-66. [CrossRef] [Medline]
  48. Knight E, Stuckey MI, Petrella RJ. Health promotion through primary care: enhancing self-management with activity prescription and mHealth. Phys Sportsmed 2014 Sep;42(3):90-99. [CrossRef] [Medline]
  49. Lentferink AJ, Oldenhuis HK, de Groot M, Polstra L, Velthuijsen H, van Gemert-Pijnen JEWC. Key Components in eHealth Interventions Combining Self-Tracking and Persuasive eCoaching to Promote a Healthier Lifestyle: A Scoping Review. J Med Internet Res 2017 Dec 01;19(8):e277 [FREE Full text] [CrossRef] [Medline]
  50. Zhao J, Freeman B, Li M. Can Mobile Phone Apps Influence People's Health Behavior Change? An Evidence Review. J Med Internet Res 2016 Dec 31;18(11):e287 [FREE Full text] [CrossRef] [Medline]
  51. Anglada-Martinez H, Riu-Viladoms G, Martin-Conde M, Rovira-Illamola M, Sotoca-Momblona JM, Codina-Jane C. Does mHealth increase adherence to medication? Results of a systematic review. Int J Clin Pract 2015 Jan;69(1):9-32. [CrossRef] [Medline]
  52. Stinson J, McGrath P, Hodnett E, Feldman B, Duffy C, Huber A, et al. Usability testing of an online self-management program for adolescents with juvenile idiopathic arthritis. J Med Internet Res 2010 Jul 29;12(3):e30 [FREE Full text] [CrossRef] [Medline]
  53. 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]


ERA: enthesitis-related arthritis
ILAR: International League against Rheumatism
JAS: juvenile ankylosing spondylitis
JIA: juvenile idiopathic arthritis
mHealth: mobile health
mPSS: mHealth Patient Support System
Oligo JIA: oligoarticular JIA
Poly JIA: polyarticular JIA
PsA: psoriatic JIA


Edited by G Eysenbach; submitted 13.03.18; peer-reviewed by R Cai, A Coda, T Jiang; comments to author 18.08.18; revised version received 02.11.18; accepted 10.11.18; published 22.02.19

Copyright

©Stuart W Grande, Meghan R Longacre, Karin Palmblad, Meera V Montan, Rikard P Berquist, Andreas Hager, Greg Kotzbauer. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 22.02.2019.

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