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DOI: 10.1055/a-1967-8721
Enhancing Resilience in Family Caregivers Using an mHealth App
- Abstract
- Background and Significance
- Methods
- Results
- Discussion
- Conclusion
- Clinical Relevance Statement
- Multiple Choice Questions
- References
Abstract
Background We previously developed a mobile health (mHealth) app (Roadmap) to promote the resilience of family caregivers during the acute phases of care in patients undergoing hematopoietic cell transplantation (HCT).
Objective This study explored users' perspectives on the uptake of Roadmap's multicomponent features and the app's utility in promoting resilience.
Methods Fifteen participants were randomized to the full version of the app that included resilience-building activities and the other 15 were randomized to the control version that included a limited view of the app (i.e., without any resilience-building activities). They were instructed to use the app for 120 days. Semistructured qualitative interviews were then conducted with users as part of an ongoing, larger Roadmap study (NCT04094844). During the interview, caregiver participants were asked about their overall experiences with the app, frequency of use, features used, facilitators of and barriers to use, and their perspectives on its utility in promoting resilience. Data were professionally transcribed, coded, and categorized through content analysis.
Results Interviews were conducted with 30 participants, which included 23 females and 7 males. The median age of the population was 58 years (range, 23–82). The four main themes that emerged included app use, ease of use, user experiences, and ability to foster resilience. The subthemes identified related to facilitators (convenience and not harmful), barriers (caregiver burden and being too overwhelmed during the acute phases of HCT care), resilience (optimism/positivity and self-care), and app design improvements (personalization and notifications/reminders).
Conclusion The qualitative evaluation provided insights into which components were utilized and how one, or a combination of the multicomponent features, may be enhancing users' experiences. Lessons learned suggest that the Roadmap app contributed to promoting resilience during the acute phases of HCT care. Nonetheless, features that provided enhanced personalization may further improve longer-term engagement.
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Keywords
mobile health - mHealth - resilience - psychological - family caregivers - qualitative - research - transplantation - hematopoietic stem cellBackground and Significance
Hematopoietic stem cell transplantation (HCT) is a potentially curative therapy for several malignant and nonmalignant conditions, but it is intense and often associated with life-threatening complications.[1] Accordingly, a dedicated caregiver remains necessary and expected, especially within the first 100 days of the procedure.[2] However, HCT caregivers are often unprepared for this role; it is not uncommon for caregivers to experience significant levels of anxiety and distress, especially during this acute peritransplant period.[3] [4] Thus, this population needs interventions that are sustainable and scalable.[5]
Recently, there has been exponential growth in mobile connectivity and the use of smartphones.[6] A growing evidence base supports the clinical application of mobile health (mHealth) technologies in the health care setting.[7] [8] mHealth serves as a platform for delivery of multicomponent interventions, as well as capture of continuous, real-time sleep and activity. The HCT setting[9] provides an ideal “model” to rigorously test an mHealth intervention due to (1) high level of engagement by HCT caregivers, (2) intense and rapidly evolving caregiving needs of medically fragile patients, and (3) long hospital course followed by frequent outpatient follow-up that allows for high-resolution data collection with minimal additional burden.[10]
Inspired by this vision, our team was an early adopter of mHealth technology to enhance the resilience of the HCT individuals we serve. Over the past decade, we successfully developed an mHealth platform (Roadmap) by partnering with patients, caregivers, and health care providers in iterative cycles of user-centered design to define requirements and design.[10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] The existing platform offers a menu of resilience-building activities that are centered on a positive psychology framework[23] [24] designed to foster individual strengths and protective variables (e.g., optimism, gratitude, positive emotions).[25] This platform also collects digital signals through wearable sensors and self-report outcomes.
The positive aspects of caregiving, such as self-efficacy and positive attitudes toward the caregiver role, may provide insight on caregiver self-care and self-management.[26] Simple strategies aimed at enhancing positive thoughts, emotions, and behaviors have been shown to be effective and highly scalable.[25] [27] [28] Daily positive reflection, journaling, and conducting acts of kindness have been used in various clinical settings.[29] [30] [31] [32] [33] [34]
The Roadmap app is currently being tested in a randomized trial.[15] The caregiver population was randomized to the intervention and control versions of the app, while the patients only received the control version. Thus, interviews were solely conducted with the caregivers of the dyad pair. Collecting user feedback through semistructured qualitative interviews immediately after completing the 120-day study period was part of the a priori trial design. Accordingly, users were invited to participate in qualitative interviews and share their experiences with using the app. In this study, our objective was to assess its utility in fostering resilience. We sought to examine users' views and preferences, identify the most/least useful components of the app, and evaluate design considerations and app enhancements for future studies.
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Methods
Study Design and Setting
This study is part of a multiphase project, which is currently testing the Roadmap app in a randomized trial of family caregivers and their patients undergoing HCT at the U-M Blood and Marrow Transplantation Program.[15] The study setting is located within a Midwestern academic medical institution (Michigan Medicine, Ann Arbor, MI) with an active status date as of September 2020.
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Recruitment and Enrollment
Eligibility for study participation of caregivers included age ≥ 18 years and self-reported as the primary caregiver of their HCT patient. Patients were required to be at least 5 years or older and receiving HCT care at the U-M Blood and Marrow Transplant Program. While the intervention specifically targeted the caregiver, both members of the dyad (i.e., caregiver and patient) had to agree to participate. Additional eligibility requirements included both members having access to necessary resources for participating in an mHealth technology-based intervention (i.e., smartphone/tablet and internet access) and being willing to use personal equipment/internet for the study. All participants signed IRBMED-approved informed consents/assents within the Roadmap app (provided in English language only). All study procedures included remote recruitment, enrollment, and follow-up with no in-person contact. For the qualitative study herein, caregivers of adult patients (age ≥ 18 years) only were recruited to participate in interviews from the U-M Blood and Marrow Transplant Program between June 2021 and April 2022.
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Study Procedures
Roadmap and Fitbit apps: The design and development of Roadmap have been previously published, including graphical images of the app (https//:www.roadmap.study). Once participants (caregivers and patients) consented and were enrolled in the study, they (caregivers and patients) were onboarded through a Health Insurance Portability and Accountability Act (HIPAA)–compliant Zoom at U-M platform (https://its.umich.edu/communication/videoconferencing/zoom). Participants were instructed to download Roadmap and Fitbit apps on their smartphone or other mobile device (both free of charge and publicly available via Apple and Google app stores). Participants were explained to enter a Mood score once daily (“How has your mood been today?”: 1 [worst possible] to 10 [best possible]) and to interact with the app freely throughout the 120-day study period. As previously described,[15] family caregivers were randomized 1:1 to either the treatment arm (full-version of Roadmap) or the control arm. Roadmap's full-version included (1) eight positive activities ([Fig. 1]), (2) chat forums, (3) informational resources, and (iv) graphs (mood, sleep, and steps). Roadmap's control version included graphs only (i.e., no access to positive activities, chat forums, or informational resources; [Fig. 2]). All patients received the control version of the app.




Wearable sensor: Fitbits were mailed to the participants' homes. They were instructed to wear it continuously, except while charging, to measure their physical activity, heart rate, and sleep during the 120-day study period. The Fitbit data integrated with the Roadmap app through the Fitbit API (https://dev.fitbit.com/build/reference/web-api/).
Interviews: Family caregivers were invited to participate in one-on-one semistructured qualitative interviews with research staff trained in qualitative methods, immediately following their completion of the day 120 (end-of-study) self-report assessments. Thirty family caregivers participated in the poststudy interview sessions: N = 15 (50%) received the full version of the app (treatment arm) and N = 15 (50%) received the control version of the app (control arm). Interviews were conducted using the HIPAA-compliant Zoom at U-M platform (https://its.umich.edu/communication/videoconferencing/zoom). Interviewers used open-ended questions that encouraged responses through prompts and probes, and incorporated pauses and reflective listening. Participants received US$20 upon completion of the interview. Recruitment ended once it was determined that no additional data were being identified that informed new thematic categories. Saturation is defined in qualitative research as a criterion for discontinuing data collection and/or analysis.[35]
The interviews lasted approximately 20 minutes. The interview script and codebook were developed by E. S., L. R., and A. L. H., and minor iterations were made to adjust for clarity of the questions after review/piloting the script with the rest of the research team ([Table 1]). The sentence structures were refined to make the question as well as potential probing questions clear. All interviews were audio-recorded, professionally transcribed verbatim (Babbletype Inc., Philadelphia, PA), and redacted for anonymity.
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Thematic Analysis
Data were analyzed using a thematic approach, in that our data collection and analyses mutually informed one another. During the first stage of data analysis, initial interviews followed a qualitative content analysis[36] using an open coding method. The transcripts were coded according to each concept (i.e., line-by-line or by paragraph) using NVivo Pro 11 (QSR International, Melbourne, Australia). The research team then collectively generated new codes as significant concepts, and patterns of data (themes) were identified, discussed, and revised. All the members who participated in the thematic analysis followed the phases of thematic analysis: (1) familiarized herself with the data; (2) generated initial codes; (3) searched for themes; (4) reviewed themes; (5) defined and named the themes, and (6) produced the report.[1]
The second stage of data analysis, using new interview data that emerged, resulted in consistent themes and patterns in the data that confirmed our findings. A minimum of two team members took an active role in identifying patterns/themes based on how the data were classified by codes. Common structures and themes that arose repeatedly through content analysis were identified and organized hierarchically by patterns or structures in the code,[37] which were subsequently further grouped together in overarching themes. The final interpretation of codes and themes were completed by all of the co-authors (E. S., L. R., A. J., C. R., A. L. H., S. W. C.).
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Results
The median age of the sample was 58 years (range, 23–82). The majority were female (N = 23; 77%), White (N = 25; 83%), and spousal caregivers (N = 22; 73%). Additionally, up to 80% had at least some college or higher degree (N = 24), with a median income bracket of $50,000 to $74,999 ([Table 2]).
Major themes that emerged from the interviews with illustrative participant quotes are detailed in the following.
App Use
Overall, the majority of participants treated across both arms indicated their consistency in entering daily Mood scores. However, those randomized to the resilience-building activities reported inconsistency and variability in use throughout the 120-day study period, ranging from “none” to “some” and “routine.” For some caregivers, participating in an mHealth study to enhance resilience was not high priority, particularly in light of the demands of caregiving from the HCT procedure itself. Nonetheless, Gratitude Journaling, Pleasant Activity Scheduling, and Engaging with Beauty were the three most commonly used and helpful activities, indicating perceived benefits (i.e., allowed for reflection). The Love Letter activity was rated the least used.
Interviewer: Were there any features in particular that aided in that confidence you had?
“I like the automatic-ness of it [the Roadmap app], where it was recording a lot of stuff. The prompt for the Mood was effective. Otherwise, I think I would've forgotten a lot of days to do any kind of feedback in that way. Again, the Gratitude Journal and some of the journals were more difficult. They were easy to do while we were in the hospital. I had more time. Once I got caught up in my life, not so much.” [CG189]
Interviewer: This next set of questions talks a little bit more about the activities and then moves into optimism and caregiving. First, can you tell me a little bit more about your use pattern?
“More often towards the beginning and then it started to fade. I'm sure that's typical. I'm estimating now but I would guess for the first month or so, I did it most days. Probably three-quarters of the days, I'm guessing. Then subsequently it was more scattershot. It probably dropped down to between a third and a half of the days in the last month.” [CG170]
Interviewer: What was your experience using the app?
“My problem, and I already said this before, it was so low on my priority list. It's not a fault, but it's just so low on the priority list. I would just once in a while …” [CG39]
Interviewer: What features of the app felt most impactful to you?
“(Gratitude Journaling) that was probably the one I used most.” [CG195]
“The most impactful (features of the app) to me was like I was saying, the routine of home care, that was extremely important to me.” [CG009]
Interviewer: Did using the Roadmap app change your perception of caregiving at all?
“I think the change using the Roadmap was that it made me think about how I feel and it was good because it was noted and that was good, because every now and then throughout the day I would review it to see how I felt a week ago or a few days ago. It would also cause me to take a pause and say, 'What happened this day versus what's happening right now?' Know what I'm saying?” [CG033]
These quotes highlighted the variability in use and impact of different components of the Roadmap app for caregiver participants. In addition to these, caregivers also highlighted the usability of the Roadmap app.
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Ease of Use
All of the participants, irrespective of their randomization assignment, agreed that the study did not place any additional burden on them. The majority of users randomized to the treatment arm reported ease of use and confidence in using the app, indicating that it was straightforward and simple to navigate. They did not find any harm in the app's features and stated that they would recommend it to other family caregivers.
Interviewer: What features contributed to your confidence using the app?
“It was pretty self-explanatory. I think I was shown the first day of the study, but it was pretty easy to navigate…. I definitely would (recommend Roadmap to a friend or family caregiver).” [CG024]
Interviewer: Were there any particular features that contributed to that overall confidence in using it [Roadmap app]?
“I liked the presentation of the app. It's inviting, simple.” [CG009]
Interviewer: What was your overall experience participating in an mHealth study?
“It was good. It's easy to use. It's not too complicated. It was easy to use and fun to use (Savoring Activity). When I didn't have anything to do, it was good to just start doing it to see what was going on.” [CG17]
Caregivers unanimously agreed the Roadmap app was easy to use. Additionally, they were able to highlight factors that influenced their use patterns.
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User Experiences: Facilitators of and Barriers to Use
Several participants noted features of the app that facilitated use: notification prompts of the daily Mood score, record-keeping entries of the activity, self-monitoring (mood, sleep, activity), and ability to create a new routine by incorporating the app's activities into daily activities.
Interviewer: Just to get rolling here, what was your overall experience participating in a mHealth study?
“I'm in my late 60s. It was a new experience. (Laughs…) It wasn't difficult. The prompts were there at the end of each day to go ahead and record my mood. I did fall off in doing journaling because I'm used to doing my own journal at home…It was nice to check in on my stats every day. (Laughs…)” [CG189]
Interviewer: Could you tell me a little bit of why you rated the activity [Gratitude Journal] this way [10]?
“I'm a positive person and I thank God every day for everything. It was nice to write it down [Gratitude Journal] instead of, Thank you God for the sunshine… It was more about me and then I could go back and look at them…. Very beneficial... It was a good reminder.” [CG001]
Interviewer: Are there any ways we can make the app easier to adhere to?
“Because I've done it now and because I got disciplined and set myself a schedule to do it and more consistently when I did it roughly the same time of day is what I had to do starting off. Then later on I began to do a little variation of the time, because I was just curious about it. For example, really quick, I'm a morning person so when I get up in the morning, I'm just like, Whoop!” [CG033]
In addition to facilitators, the primary barriers to longer-term uptake centered on (lack of) time, stressful medical events, and caregiver-related demands. Suggestions that users provided to promote engagement included reviewing/repeating the app's features/onboarding processes, designing personalized features (i.e., selecting specific activities), and sending prompts or notifications.
Interviewer: How did you rate the Random Acts of Kindness activity on a scale of 1–10?
“That's one I didn't do either. At the time, when we got all this stuff, it was just overwhelming…. being in the hospital and all this stuff going on. Now that things have calmed down, it's probably more conducive to maybe accomplishing stuff with the app and looking at it a little bit differently.” [CG195]
Interviewer: Can you tell me about your use pattern?
“I think I used it more towards the end of the study, because I really got into it a little bit more into the first month. The first month, I was just preoccupied with a lot of stuff going on around our house and everything. I tried to get into it a little bit more towards the end.” [CG182]
Interviewer: How frequently would you start an activity and not be able to finish it?
“I finished almost every activity. However, often it was very interrupted (Laughs). It might take me a whole week to get one activity done, the way life was going for many months this year. I had to do all the driving, for example. Even if I had time personally, I might not have time. It was one of those. Lots of interruptions (Laughs).” [CG189]
Interviewer: Is there any way we could make those activities easier to adhere to or reduce the barriers to getting in and doing them?
“Maybe a reminder. Maybe not a daily reminder, but like something that would've sparked my memory and said, “Oh, hey, there are other things (activities) you can do in there.” [CG001]
“Maybe even just a little positive message, instead of a reminder that you have something you have to do.” [CG017]
Interviewer: Do you have any ideas about how we can improve the learning process?
“I think …. was system overload. I think a review of it, maybe a week later and just review it at a short time or a couple of days later and say, 'Hey, let's go over this and see what's going on...'” [CG195]
A variety of facilitators of and barriers to Roadmap app use were highlighted by different participants, as evidenced by the quotes. In addition to factors impacting Roadmap app use, we also sought to determine the role of the Roadmap app in promoting resilience.
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Perceived Utility of Roadmap in Fostering Resilience
All participants, including those who received the control version of the app (Graphs only), commented on the positive benefits of monitoring their mood, sleep, and steps data. Individuals who endorsed using the resilience-building activities commented on the app's utility in fostering resilience (i.e., the ability to adapt and maintain optimism in the face of adversity) through recording of thoughts, feelings, or behaviors.
Interviewer: Would you recommend Roadmap if you had a friend or a family member who was also going to be a caregiver?
“I think it's something just for you, in a way, to monitor where you are. That's important. I think it's part of self-care.” [CG189]
Interviewer: To what degree do you believe that using Roadmap has impacted that optimism?
“Actually, it (the Roadmap app) helped (maintain optimism) because sometimes when I was getting really frustrated… I like to be the kind of person that writes things down when it bothers me, so that helped, because that's what I do. If something bothers me with my kids, I'll write them a letter and not send it to them, so this helped.” [CG182]
Interviewer: Can you tell me a little bit of why you rated [Positive Piggy Bank] that way [10]?
“Because I needed to reiterate positivity, especially while I was there in the hospital. It just lifted my spirits to go back and revisit the Positive Piggy Bank.” [CG009]
The caregivers interviewed highlighted a sense of resiliency from the app, in general, and were also able to note specific components of the app, such as the Positive Piggy Bank [CG009], that promoted resilience for them.
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Discussion
This study reports findings on a sample of participants in a larger, multiphase study that is currently testing the Roadmap app in a randomized controlled trial. Using semistructured qualitative interviews, we sought to identify user preferences while using the app to understand the component(s) that may be influencing user experiences. In this qualitative study, the four themes that emerged about the Roadmap app included overall app use, ease of use, user experiences (e.g., facilitators, barriers), and ability to foster resilience. Interestingly, we found that users across both arms reported benefits of self-monitoring from the Graphs features alone—self-tracking their mood, steps, and sleep. Users described general consistency with entering daily Mood scores and monitoring their data over time. While individuals who received the control version of the app reported benefits, their responses centered solely on self-care and self-monitoring (of mood, sleep, steps). However, individuals who received the full version of the app indicated its utility in fostering positive emotions and optimism through its record-keeping features (of expressive and reflective thoughts or feelings). Indeed, these findings are consistent with recent reports of mHealth studies supporting positive mental health.[8] [38]
Interestingly, some individuals randomized to the treatment arm described how the app created new self-care routines, allowing them to incorporate positive habits in their day-to-day events (i.e., based on tracking their mood, sleep, or activity). The most commonly used activities included Gratitude Journaling, Pleasant Activity Scheduling, and Engaging with Beauty. These activities were designed for users to record thoughts, schedule activities, and view photos, respectively, which may have facilitated app adoption through user acceptance and usage behavior (or habit formation).[39] [40] Interestingly, individuals who adopted Roadmap routinely established new patterns of use and integrated the app's activities into their day. However, there were some individuals who used the activities inconsistently, infrequently, or not at all. The reasons provided include timing of the onboarding process, stressful conditions of the HCT process, and being generally overwhelmed with caregiver burden; these individuals did not report any efforts to integrate the Roadmap app into routine practices. Thus, engagement, especially during overwhelming times in HCT care delivery, likely requires innovative strategies to promote longer-term uptake and engagement of the app.
Key lessons learned from these qualitative data that will help inform future iterations of the app include (1) personalization, (2) notifications, and (3) “coaching the app” through novel onboarding techniques. The majority of participants, irrespective of treatment arm, commented on the daily Mood push notification being one of the most used or liked feature of the app. They suggested that similar notifications or prompts should be developed for the resilience-building activities, but also not too many.[41] Recently, just-in-time adaptive interventions (JITAIs) have emerged as an mHealth intervention to provide support just-in-time based on real-time data collection.[42] JITAIs are designed to tailor the overall level of support based on current sleep, activity, and mood levels.[43] Individualized pushes are delivered based on a cognitive behavioral strategy with a motivational statement.[42] In efforts to achieve effective engagement,[44] continually incorporating user feedback in the iterative design and development process will lead to more useful tools that are leveraged in complex health care settings such as HCT.
Participants were recruited and enrolled to participate in this mHealth study during an unprecedented time in history of the coronavirus disease 2019 (COVID-19) pandemic,[45] where many standard-of-care clinical operations were modified, including clinical trials (like this one) where all procedures were conducted contactless.[46] Thus, efforts to support users in the onboarding and follow-up process of mHealth studies should be considered in this new pandemic-related era, such as “coaching the app,”[47] which integrates digital coaches along with the app.
Strengths of the study included rigorous data collection and analyses. Participants from both treatment and control arms were included. The transcriptions were coded independently from at least two research staff trained in qualitative research methods. The codebook was established through iterative coding and refinement of the codebook. The lessons learned were identified through numerous rounds of analysis of the coded data by the entire research team and compared with existing literature. Themes were emphasized in favor of findings relevant to the HCT population. To our knowledge, the Roadmap app and integration with wearable sensors is unique to this disease population, particularly in family caregivers during the early, acute phases of HCT care. This is in line with the growing trends in digital health (e.g., mHealth platforms, wearable sensors, home monitoring programs) that are enabling innovation in health care delivery.[48] [49] [50] [51]
Nonetheless, there are limitations of this study. Our findings were likely more generalizable to caregivers who were similar, mostly White, non-Hispanic, with at least some college education, and who own mobile devices and routinely use apps. Additionally, we recognize the inherent biases afforded by single-arm, single-center feedback. However, we are encouraged with the high proportion of caregivers who reported the app's ease of use and acceptability with no adverse harm.
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Conclusion
In sum, the Roadmap platform has become so much more useful and usable because of the valuable feedback (e.g., semistructured qualitative interviews) received from the users, coupled with our desire to use that feedback to develop a feature-rich and user-friendly platform. While the larger study is ongoing, we will analyze data use logs and correlate them with longitudinal self-report assessments as well as ongoing qualitative data that are being collected. These efforts, including lessons learned herein, will help identify phenotypes of “engagers” versus “nonengagers,” establish pattern recognition of habit or behavior formation,[41] and classify mechanism(s) of action of Roadmap influencing outcomes.
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Clinical Relevance Statement
Partnering with users throughout the life cycle of an mHealth app will ensure higher level of adoption, engagement, and usability. With more widespread use of technology globally, individuals are using technology to monitor and manage their health. The intention of our work was to incorporate the views and perspectives of family caregivers participating in the Roadmap mHealth Study. To date, our qualitative findings suggest that caregivers are reporting enhancement of positive emotions (i.e., resilience) through the app's activities while undergoing stressful HCT care.
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Multiple Choice Questions
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User-centered design in mobile health (mHealth) app development refers to:
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A single user's product design that emerges as the most important feature for app development.
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An iterative process of incorporating user feedback to define requirements and design.
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The software engineer's design that is selected for product development.
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Sales and customer loyalty about the software design's product.
Correct Answer: The correct answer is option b: “user needs are considered throughout the design of a technology–from initial requirements gathering to end stages of technology development.”
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An mHealth intervention design that can promote engagement by users:
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Adapt the mHealth intervention to multiple users at a given time.
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Focus on one feature of the mHealth intervention (i.e., one component).
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Just-in-time support that adapts to the user.
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Assist the user in selecting the optimal wearable sensor to adapt to their use.
Correct Answer: The correct answer is option c: “The JITAI is an intervention design aiming to provide the right type/amount of support, at the right time, by adapting to an individual's changing internal and contextual state.”[42]
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Erratum: The article has been updated as per the erratum(Doi: 10.1055/s-0044-1785193) published on 18, March, 2024.
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Conflict of Interest
None declared.
Protection of Human and Animal Subjects
This study was performed in compliance with the World Medical Association Declaration of Helsinki on Ethical Principles for Medical Research Involving Human Subjects and was approved by the University of Michigan Institutional Review Board. The trial was registered on ClinicalTrials.gov (NCT04094844). The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.
Author Contributions
Conception and design: S.W.C. Administrative support: S.W.C. Provision of study materials or patients: E.S., C.R., S.W.C. Collection and assembly of data: E.S., C.R., L.R., A.J. Data analysis and interpretation: All authors. Manuscript writing: All authors. Final approval of manuscript: All authors.
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Design considerations for family-centered health management. In: Proceedings of the 17th ACM Conference on Interaction Design and Children - IDC '18;2018:593–598
- 22 Kedroske J, Koblick S, Chaar D. et al. Development of a national caregiver health survey for hematopoietic stem cell transplant: qualitative study of cognitive interviews and verbal probing. JMIR Form Res 2020; 4 (01) e17077
- 23 Seligman ME, Steen TA, Park N, Peterson C. Positive psychology progress: empirical validation of interventions. Am Psychol 2005; 60 (05) 410-421
- 24 Seligman MEP, Rashid T, Parks AC. Positive psychotherapy. Am Psychol 2006; 61 (08) 774-788
- 25 Bolier L, Haverman M, Westerhof GJ, Riper H, Smit F, Bohlmeijer E. Positive psychology interventions: a meta-analysis of randomized controlled studies. BMC Public Health 2013; 13: 119
- 26 Badr H, Yeung C, Lewis MA, Milbury K, Redd WH. An observational study of social control, mood, and self-efficacy in couples during treatment for head and neck cancer. Psychol Health 2015; 30 (07) 783-802
- 27 Sin NL, Lyubomirsky S. Enhancing well-being and alleviating depressive symptoms with positive psychology interventions: a practice-friendly meta-analysis. J Clin Psychol 2009; 65 (05) 467-487
- 28 Hassett AL, Finan PH. The role of resilience in the clinical management of chronic pain. Curr Pain Headache Rep 2016; 20 (06) 39
- 29 Huffman JC, Mastromauro CA, Boehm JK. et al. Development of a positive psychology intervention for patients with acute cardiovascular disease. Heart Int 2011; 6 (02) e14
- 30 Moskowitz JT, Hult JR, Duncan LG. et al. A positive affect intervention for people experiencing health-related stress: development and non-randomized pilot test. J Health Psychol 2012; 17 (05) 676-692
- 31 Cohn MA, Pietrucha ME, Saslow LR, Hult JR, Moskowitz JT. An online positive affect skills intervention reduces depression in adults with type 2 diabetes. J Posit Psychol 2014; 9 (06) 523-534
- 32 Hausmann LRM, Parks A, Youk AO, Kwoh CK. Reduction of bodily pain in response to an online positive activities intervention. J Pain 2014; 15 (05) 560-567
- 33 Müller R, Gertz KJ, Molton IR. et al. Effects of a tailored positive psychology intervention on well-being and pain in individuals with chronic pain and a physical disability: a feasibility trial. Clin J Pain 2016; 32 (01) 32-44
- 34 Casellas-Grau A, Font A, Vives J. Positive psychology interventions in breast cancer. A systematic review. Psychooncology 2014; 23 (01) 9-19
- 35 Saunders B, Sim J, Kingstone T. et al. Saturation in qualitative research: exploring its conceptualization and operationalization. Qual Quant 2018; 52 (04) 1893-1907
- 36 Shelley M, Krippendorff K. Content analysis: an introduction to its methodology. J Am Stat Assoc 1984; 79 (385) 240
- 37 Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol 2006; 3 (02) 77-101
- 38 Turvey CL, Roberts LJ. Recent developments in the use of online resources and mobile technologies to support mental health care. Int Rev Psychiatry 2015; 27 (06) 547-557
- 39 Yuan S, Ma W, Kanthawala S, Peng W. Keep using my health apps: discover users' perception of health and fitness apps with the UTAUT2 model. Telemed J E Health 2015; 21 (09) 735-741
- 40 Nicholas-Omoregbe S, Chizor I, Azeta A, George T. Extending the Unified Theory of Acceptance and Use of Technology (UTAUT) model: the role of technology culturation. In: Proceedings of the INTED2016 Conference; 2016
- 41 Eyal N. Hooked: How to Build Habit-Forming Products. New York, NY: Penguin Group (USA) and Penguin Random House (Portfolio); 2014
- 42 Nahum-Shani I, Smith SN, Spring BJ. et al. Just-in-time adaptive interventions (JITAIs) in mobile health: key components and design principles for ongoing health behavior support. Ann Behav Med 2018; 52 (06) 446-462
- 43 Klasnja P, Hekler EB, Shiffman S. et al. Microrandomized trials: an experimental design for developing just-in-time adaptive interventions. Health Psychol 2015; 34S: 1220-1228
- 44 Nahum-Shani I, Shaw SD, Carpenter SM, Murphy SA, Yoon C. Engagement in digital interventions. Am Psychol 2022; 77 (07) 836-852
-
45
World Health Organization.
Timeline: WHO's COVID-19 response. Accessed July 17, 2022 at: https://www.who.int/emergencies/diseases/novel-coronavirus-2019/interactive-timeline
- 46 Powis M, Milley-Daigle C, Hack S, Alibhai S, Singh S, Krzyzanowska MK. Impact of the early phase of the COVID pandemic on cancer treatment delivery and the quality of cancer care: a scoping review and conceptual model. Int J Qual Health Care 2021; 33 (02) mzab088
- 47 Fitzsimmons-Craft EE, Taylor CB, Newman MG. et al. Harnessing mobile technology to reduce mental health disorders in college populations: a randomized controlled trial study protocol. Contemp Clin Trials 2021; 103 (106320): 106320
- 48 Saleem JJ, Wilck NR, Murphy JJ, Herout J. Veteran and staff experience from a pilot program of health care system-distributed wearable devices and data sharing. Appl Clin Inform 2022; 13 (03) 532-540
- 49 Lara B, Kottler J, Olsen A, Best A, Conkright J, Larimer K. Home monitoring programs for patients testing positive for SARS-CoV-2: an integrative literature review. Appl Clin Inform 2022; 13 (01) 203-217
- 50 Penev Y, Dunlap K, Husic A. et al. A mobile game platform for improving social communication in children with autism: a feasibility study. Appl Clin Inform 2021; 12 (05) 1030-1040
- 51 Harrington L, Parker C, Ulanday K, Harrington C. Heuristic evaluation of a top-rated diabetes self-management app. Appl Clin Inform 2021; 12 (05) 1014-1020
- 52 Poole ES. HCI and mobile health interventions. Transl Behav Med 2013; 3 (04) 402-405
Address for correspondence
Publikationsverlauf
Eingereicht: 29. Juli 2022
Angenommen: 19. Oktober 2022
Accepted Manuscript online:
25. Oktober 2022
Artikel online veröffentlicht:
21. Dezember 2022
© 2022. Thieme. All rights reserved.
Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany
-
References
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21
Shin JY,
Kedroske J,
Vue R.
et al.
Design considerations for family-centered health management. In: Proceedings of the 17th ACM Conference on Interaction Design and Children - IDC '18;2018:593–598
- 22 Kedroske J, Koblick S, Chaar D. et al. Development of a national caregiver health survey for hematopoietic stem cell transplant: qualitative study of cognitive interviews and verbal probing. JMIR Form Res 2020; 4 (01) e17077
- 23 Seligman ME, Steen TA, Park N, Peterson C. Positive psychology progress: empirical validation of interventions. Am Psychol 2005; 60 (05) 410-421
- 24 Seligman MEP, Rashid T, Parks AC. Positive psychotherapy. Am Psychol 2006; 61 (08) 774-788
- 25 Bolier L, Haverman M, Westerhof GJ, Riper H, Smit F, Bohlmeijer E. Positive psychology interventions: a meta-analysis of randomized controlled studies. BMC Public Health 2013; 13: 119
- 26 Badr H, Yeung C, Lewis MA, Milbury K, Redd WH. An observational study of social control, mood, and self-efficacy in couples during treatment for head and neck cancer. Psychol Health 2015; 30 (07) 783-802
- 27 Sin NL, Lyubomirsky S. Enhancing well-being and alleviating depressive symptoms with positive psychology interventions: a practice-friendly meta-analysis. J Clin Psychol 2009; 65 (05) 467-487
- 28 Hassett AL, Finan PH. The role of resilience in the clinical management of chronic pain. Curr Pain Headache Rep 2016; 20 (06) 39
- 29 Huffman JC, Mastromauro CA, Boehm JK. et al. Development of a positive psychology intervention for patients with acute cardiovascular disease. Heart Int 2011; 6 (02) e14
- 30 Moskowitz JT, Hult JR, Duncan LG. et al. A positive affect intervention for people experiencing health-related stress: development and non-randomized pilot test. J Health Psychol 2012; 17 (05) 676-692
- 31 Cohn MA, Pietrucha ME, Saslow LR, Hult JR, Moskowitz JT. An online positive affect skills intervention reduces depression in adults with type 2 diabetes. J Posit Psychol 2014; 9 (06) 523-534
- 32 Hausmann LRM, Parks A, Youk AO, Kwoh CK. Reduction of bodily pain in response to an online positive activities intervention. J Pain 2014; 15 (05) 560-567
- 33 Müller R, Gertz KJ, Molton IR. et al. Effects of a tailored positive psychology intervention on well-being and pain in individuals with chronic pain and a physical disability: a feasibility trial. Clin J Pain 2016; 32 (01) 32-44
- 34 Casellas-Grau A, Font A, Vives J. Positive psychology interventions in breast cancer. A systematic review. Psychooncology 2014; 23 (01) 9-19
- 35 Saunders B, Sim J, Kingstone T. et al. Saturation in qualitative research: exploring its conceptualization and operationalization. Qual Quant 2018; 52 (04) 1893-1907
- 36 Shelley M, Krippendorff K. Content analysis: an introduction to its methodology. J Am Stat Assoc 1984; 79 (385) 240
- 37 Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol 2006; 3 (02) 77-101
- 38 Turvey CL, Roberts LJ. Recent developments in the use of online resources and mobile technologies to support mental health care. Int Rev Psychiatry 2015; 27 (06) 547-557
- 39 Yuan S, Ma W, Kanthawala S, Peng W. Keep using my health apps: discover users' perception of health and fitness apps with the UTAUT2 model. Telemed J E Health 2015; 21 (09) 735-741
- 40 Nicholas-Omoregbe S, Chizor I, Azeta A, George T. Extending the Unified Theory of Acceptance and Use of Technology (UTAUT) model: the role of technology culturation. In: Proceedings of the INTED2016 Conference; 2016
- 41 Eyal N. Hooked: How to Build Habit-Forming Products. New York, NY: Penguin Group (USA) and Penguin Random House (Portfolio); 2014
- 42 Nahum-Shani I, Smith SN, Spring BJ. et al. Just-in-time adaptive interventions (JITAIs) in mobile health: key components and design principles for ongoing health behavior support. Ann Behav Med 2018; 52 (06) 446-462
- 43 Klasnja P, Hekler EB, Shiffman S. et al. Microrandomized trials: an experimental design for developing just-in-time adaptive interventions. Health Psychol 2015; 34S: 1220-1228
- 44 Nahum-Shani I, Shaw SD, Carpenter SM, Murphy SA, Yoon C. Engagement in digital interventions. Am Psychol 2022; 77 (07) 836-852
-
45
World Health Organization.
Timeline: WHO's COVID-19 response. Accessed July 17, 2022 at: https://www.who.int/emergencies/diseases/novel-coronavirus-2019/interactive-timeline
- 46 Powis M, Milley-Daigle C, Hack S, Alibhai S, Singh S, Krzyzanowska MK. Impact of the early phase of the COVID pandemic on cancer treatment delivery and the quality of cancer care: a scoping review and conceptual model. Int J Qual Health Care 2021; 33 (02) mzab088
- 47 Fitzsimmons-Craft EE, Taylor CB, Newman MG. et al. Harnessing mobile technology to reduce mental health disorders in college populations: a randomized controlled trial study protocol. Contemp Clin Trials 2021; 103 (106320): 106320
- 48 Saleem JJ, Wilck NR, Murphy JJ, Herout J. Veteran and staff experience from a pilot program of health care system-distributed wearable devices and data sharing. Appl Clin Inform 2022; 13 (03) 532-540
- 49 Lara B, Kottler J, Olsen A, Best A, Conkright J, Larimer K. Home monitoring programs for patients testing positive for SARS-CoV-2: an integrative literature review. Appl Clin Inform 2022; 13 (01) 203-217
- 50 Penev Y, Dunlap K, Husic A. et al. A mobile game platform for improving social communication in children with autism: a feasibility study. Appl Clin Inform 2021; 12 (05) 1030-1040
- 51 Harrington L, Parker C, Ulanday K, Harrington C. Heuristic evaluation of a top-rated diabetes self-management app. Appl Clin Inform 2021; 12 (05) 1014-1020
- 52 Poole ES. HCI and mobile health interventions. Transl Behav Med 2013; 3 (04) 402-405



