Published on in Vol 5, No 1 (2022): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39263, first published .
Acceptability of an mHealth Family Self-management Intervention (myFAMI) for Pediatric Transplantation Families: Qualitative Focus

Acceptability of an mHealth Family Self-management Intervention (myFAMI) for Pediatric Transplantation Families: Qualitative Focus

Acceptability of an mHealth Family Self-management Intervention (myFAMI) for Pediatric Transplantation Families: Qualitative Focus

Original Paper

1Division of Pediatric Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, Medical College of Wisconsin, Milwaukee, WI, United States

2Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States

3Department of Nursing Research, Children's Wisconsin, Milwaukee, WI, United States

4Division of Pediatric Gastroenterology, Hepatology, and Nutrition, Ann & Robert H Lurie Children's Hospital, Northwestern University Feinberg School of Medicine, Chicago, IL, United States

5Division of Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, Duke University School of Medicine, Raleigh, NC, United States

6Division of Pediatric Gastroenterology, Department of Pediatrics, University of Utah, Salt Lake City, UT, United States

7Division of Nephrology, Department of Pediatrics, University of Utah Health, Salt Lake City, UT, United States

8College of Nursing, University of Wisconsin-Milwaukee, Milwaukee, WI, United States

*these authors contributed equally

Corresponding Author:

Stacee Marie Lerret, PhD

Division of Pediatric Gastroenterology, Hepatology, and Nutrition

Department of Pediatrics

Medical College of Wisconsin

8701 West Watertown Plank Road

Milwaukee, WI, 53226

United States

Phone: 1 414 266 3944

Email: slerret@mcw.edu


Background: Around 1800 pediatric transplantations were performed in 2021, which is approximately 5% of the annual rate of solid organ transplantations carried out in the United States. Effective family self-management in the transition from hospital to home-based recovery promotes successful outcomes of transplantation. The use of mHealth to deliver self-management interventions is a strategy that can be used to support family self-management for transplantation recipients and their families.

Objective: The study aims to evaluate the acceptability of an mHealth intervention (myFAMI) that combined use of a smartphone app with triggered nurse communication with family members of pediatric transplantation recipients.

Methods: This is a secondary analysis of qualitative data from family members who received the myFAMI intervention within a larger randomized controlled trial. Eligible participants used the app in the 30-day time frame after discharge and participated in a 30-day postdischarge telephone interview. Content analysis was used to generate themes.

Results: A total of 4 key themes were identified: (1) general acceptance, (2) positive interactions, (3) home management after hospital discharge, and (4) opportunities for improvement.

Conclusions: Acceptability of the intervention was high. Family members rated the smartphone application as easy to use. myFAMI allowed the opportunity for families to feel connected to and engage with the medical team while in their home environment. Family members valued and appreciated ongoing support and education specifically in this first 30 days after their child’s hospital discharge and many felt it contributed positively to the management of their child’s medical needs at home. Family members provided recommendations for future refinement of the app and some suggested that a longer follow-up period would be beneficial. The development and refinement of mHealth care delivery strategies hold potential for improving outcomes for solid organ transplantation patients and their families and as a model to consider in other chronic illness populations.

Trial Registration: ClinicalTrials.gov NCT03533049; https://clinicaltrials.gov/ct2/show/NCT03533049

JMIR Nursing 2022;5(1):e39263

doi:10.2196/39263

Keywords



Background

Around 1800 pediatric transplantations were performed in 2021, which is approximately 5% of the annual rate of solid organ transplantations carried out in the United States [1]. With successes in achieving high patient and graft survival for pediatric transplantation recipients, focused efforts and the related metrics of quality of care have shifted toward psychosocial patient outcomes. Measures of family experience and outcomes are notably absent [2]. Effective family self-management, the ability and processes used by families to purposefully incorporate health-related behaviors into the family’s daily functioning to prevent or attenuate illness or facilitate the management of complex health regimens, is a key consideration for posttransplantation outcomes [3-5].

Successful outcomes of transplantation require effective family self-management [5,6]. The first 30 days following hospital discharge is a critical time for families to self-manage the additional stressors associated with posttransplantation care including managing the child’s medical schedule (laboratory/clinic appointments, medication administration), impact on family life, and worry about transplantation complications [7-10].

The use of mobile health (mHealth) technology, particularly to deliver self-management interventions, is a strategy that can be used to support family self-management for transplantation recipients [11,12]. Within an mHealth intervention, including monitoring health and adhering to the medical regimen, self-management strategies improved for adult lung transplantation patients [13]. Furthermore, transplantation recipients have reported that they are largely in favor of utilizing mHealth interventions to aid in their recovery [12,14].

The innovative use of mHealth emphasizes the importance of an interactive partnership between families and nurses [12], an essential component of surveillance and care coordination for the transition from hospital to home in complex patient populations [15-20]. The use of mHealth technology in the postdischarge period allows for ease of access by an additional means of communication between families and the medical team, offering the opportunity for outreach and proactive intervention. mHealth technology offers a low-cost and efficient strategy to provide focused health-related messaging [21-23] and reciprocal communication between the nurse and family. The ability to identify factors associated with difficulty managing the child’s illness provides an opportunity to develop effective individualized family-centered interventions that have significant implications for care decisions, complications, and health care use.

Our team has previously conducted a pilot study of the implementation of a family self-management intervention (myFAMI) for families of pediatric heart, kidney, or liver transplantation recipients [24]. The effectiveness of interventions is tied to successful implementation [25]. Our initial evaluation of the intervention included quantitative assessments of feasibility, acceptability, and efficacy [26]. Family member use of the app was feasible in our study as 100% (21/21) of primary family members completed the app at least one day after discharge. More specifically, 81% (17/21) of primary family members used the app at a high frequency by completing the app at least 24/30 days after hospital discharge. Acceptability was evident with high nurse response rate (99%, 133/134) to family member trigger alerts within 2 hours. Improvements in patient outcomes of postdischarge coping, family quality of life, self-efficacy, and utilization of health care resources were in the expected direction [24]. The purpose of this analysis was to explore acceptability of myFAMI through an in-depth analysis of family member experiences with the myFAMI intervention. This exploration provides information for improving the intervention for use in future studies with pediatric transplantation families.

myFAMI App Description

The mHealth intervention, myFAMI, included the use of a smartphone app and nurse response (video or telephone) to support family self-management for family members after their child’s transplantation. myFAMI promoted daily communication initiated by an in-app notification and completed by the participating family member for 30 days after discharge. Specifically, family members received an in-app notification at 8:00 AM reminding them to answer the 8 daily questions within 2 hours (ie, by 10 AM); 5 of the 8 questions were symptom-based (fever, vomiting, diarrhea, pain, other illness) and 3 were self-management–based (coping, medication administration, and medical appointments). Preidentified triggers for each question resulted in an alert to the research nurse who subsequently contacted the family to discuss any of the symptom(s) and self-management issues within 2 hours of receiving the alert. The preidentified triggers were defined as follows: (1) an answer of “yes” or “don’t know” for the 5 symptom-based questions and (2) an answer of 3 or greater using a scale of “0” (no difficulty) to “10” (great difficulty) for the self-management questions. Figure 1 provides a summary of the app workflow and Figures 2 and 3 illustrate 2 of the 8 survey question pages [27]. Further details regarding myFAMI, study workflow, and app screenshots are available in our protocol manuscript [28] and app development manuscript [27].

Figure 1. Summary of the myFAMI app workflow.
View this figure
Figure 2. myFAMI app screenshot displaying one of the symptom-based survey questions.
View this figure
Figure 3. App screenshot displaying one of the self-management–based survey questions.
View this figure

Design

This study involves an evaluation of the acceptability of an mHealth intervention (myFAMI) as experienced by the intervention family members participating in a randomized controlled trial comparing myFAMI with standard postdischarge follow-up care [24]. The main pilot study was a randomized controlled trial that evaluated the efficacy of myFAMI [24]. The data for this report include qualitative data from family members who reported their experiences of participating in the mHealth intervention to discern strengths and uncover opportunities for improving the acceptability and outcomes of myFAMI.

Participants

A convenience sample of family units of pediatric heart, kidney, and liver transplantation recipients was enrolled. For this report, a family unit is defined as one of the following: (1) a primary family member only or (2) a primary and secondary family member. This may include a variety of family unit combinations such as mother/father, mother/aunt, father/grandmother, mother/grandmother. Over a 17-month period, family units were enrolled at 4 major pediatric transplantation programs in the United States. Participants were deemed eligible to participate if they were (1) 18 years of age or older; (2) English speaking; and (3) had a child (<18 years of age) who received a heart, kidney, or liver transplantation with expected discharge to home from the hospital [24]. Likewise, family members were deemed ineligible to participate (1) if they had communication or cognitive impairment that limited their ability to complete the myFAMI questionnaires or (2) if the child had a prior transplantation that would minimize the potential for an experiential effect. A family unit was not excluded if only 1 family member (primary family member) was interested in participation.

Procedure

After receiving institutional review board approval at each of the 4 study sites, eligible family members and their child were identified and approached for voluntary participation and informed consent/assent was obtained. On the day of hospital discharge, family units were randomized to the control or intervention (myFAMI) group.

The qualitative data used for this analysis were provided by family members who were assigned to the myFAMI app and participated in a 30-day postdischarge telephone interview. One component of the telephone interview consisted of open-ended questions focused on the overall experience of using the app (Table 1). Overall, 5-10 minutes was devoted to this qualitative component for the myFAMI group. To ensure consistency of interview questions, interviews were conducted by a single interviewer from the Pediatric Translational Research Unit at the main study site using a semistructured interview guide. The interviews were audio-recorded and transcribed by the single interviewer who also verified the accuracy of the transcription and corrected as needed.

Table 1. Qualitative questions in the 30-day follow-up interview.
DescriptionQuestions
Challenges
  • Tell me about any challenges you had with using the app? Technical challenges with the app itself maybe something we can improve for future use.
Functionality
  • Tell me if you feel the app helped you after discharge? Helped you to manage your child at home?
  • How much time did it take you to complete the app every day?
  • Did the time spent with the app seem too long, too short, or just right?
Overall experience
  • Can you tell me more about your experience with using the app?
  • Did you think it was easy or hard to use? Why?
Use of the app
  • Did you answer the app every day for 30 days?
  • If not, what were some of the reasons why you did not complete the app? (ie, technical problems with the app or app did not work, forgot that day)
Call experience
  • Did you receive a call from the research nurse?
  • If yes, what went well? What did not go well?
Recommendations
  • What recommendations do you have for improving the app?
  • Would you recommend using the app for other families?

Data Analysis

This qualitative approach was guided by content analysis, a systematic and rigorous means of describing the family member experience [29]. The systematic coding of responses was an iterative process leading to emerging themes that portrayed each family’s perspectives on, acceptance of, and recommendations for myFAMI [29]. Two experienced qualitative researchers (SL and EF) independently reviewed the interview transcripts and coded data into categories of responses. The 2 reviewers then worked together to systematically compare the coded responses and develop initial themes. Through an iterative process, transcripts and themes were reevaluated to generate the final themes. Rigor was assured by use of an audit trail documenting development of final themes. Differences in coding in the independent review phase were resolved by discussion and consensus between the 2 reviewers.

Ethics Approval

The study was approved by the Institutional Review Board at the Children’s Hospital of Wisconsin (IRB approval number 1183697) and at each individual enrolling transplantation center.


Demographics

A total of 21 family units (primary family member only or primary and secondary family members of the transplanted child) had 30-day postdischarge interview data available for analysis. The final sample consisted of 32 primary and secondary family members. The majority of this sample comprised family members of children who received liver transplantations (13/21, 62%). An overwhelming majority of the children (20/21, 95%) and family members (30/32, 94%) were White. The child age spanned from infant to adolescent (range 30 days to 17 years). The age range for family members was 25-63 years. Additional demographic data are listed in Table 2.

Table 2. Demographics.
CharacteristicsValues
Family member age (n=32), years, median (IQR)36.5 (32-46)
Family member gender (n=32), n (%)

Female20 (62)

Male12 (38)
Family member race (n=32), n (%)

White30 (94)

Asian2 (6)
Marital status (n=32), n (%)

Married24 (75)

Single8 (25)
Relationship to child (n=32), n (%)

Mother18 (56)

Father11 (34)

Grandmother1 (3)

Other2 (6)
Child age (n=21), years, median (IQR)8 (3-10.5)
Child gender (n=21), n (%)

Female10 (48)

Male11 (52)
Child race (n=21), n (%)

White20 (95)

Asian1 (5)
Child transplantation type (n=21), n (%)

Heart6 (29)

Kidney2 (10)

Liver13 (61)

General Acceptance

In the 30-day follow-up interview, nearly all participants (31/32, 97%) reported that the app was easy to use. In discussing certain features, 41% of family members (13/32) specifically mentioned that design features made the app easy to use. Question setup and phrasing were mentioned as a good part of the app design (4/32, 13%). One participant mentioned liking the pictures that were added with the questions, while 3 participants stated the notifications/reminders to complete the survey were good features. For example, a participant stated, “It sent notifications; reminders were helpful; simple and easy to use”. Another parent stated, “Easy to use, being able to click yes or no”. When asked about time spent with the app, the majority of family members (29/32, 91%) said it took 2 minutes or less to complete the app daily, and that time spent in the app was “just right.”

Family members who did not complete the app every day reported various reasons for missing days, including that they forgot (2/32, 6%), were away from the child (1/32, 3%), or were not sure (2/32, 6%). One parent stated, “2 or 3 times I wasn’t able to answer, days I may have gone home and wasn’t next to him [child], didn’t want to provide inaccurate information”. One other family member stated, “I believe I missed one day, can’t remember why”.

When asked about their experience with the app, family members indicated high levels of general acceptance, with 88% (28/32) recommending use of the app for future candidates. Supporting the theme of acceptance, a family member reported, “Yes [they would recommend it to other families], great to have the psychological safety net”, while another reported that they “highly recommend [use of the app]”. One family member did not recommend the app without explanation and another said s/he would recommend the app clarifying that “would recommend if it [the app] was geared towards helping people understand symptoms of infection and rejection”.

Positive Interactions

Overall, among the 32 participating primary and secondary family members, 163 triggers were generated based on answers provided in the app. When a trigger alert was generated, the family member received a call from the research nurse to discuss reason for the alert. The nurses responded to 99.3% (162/163) of the trigger alerts within 2 hours. In all, 23/32 (72%) family members who were interviewed reported receiving a call from the research nurse; 21/23 (91%) of these family members stated that the calls with the research nurse were positive interactions (Table 3) and that the interactions with the research nurse were helpful (5/23, 22%). One family member supported this by saying, “Helped with adjustments in the beginning; she [the nurse] was very nice”, while another family member stated, “Received quick calls and they were beneficial”. Others who responded complimented the research nurses beyond the point of stating that it was a helpful interaction, that is, “Very positive and thorough; very caring, genuinely helpful”. The family members who used a video call reported a positive experience and stated, “the Zoom interaction worked well; the ability to share real time was best”. When asked what did not go well with the research nurse, only 1 participant (4%) answered by stating “Nice if a ‘5’ would constitute a trigger versus a ‘3’”.

Table 3. Themes and exemplar family member quotes.
Theme/categoryFamily member response
General AcceptanceEasy to use, multiple choice was helpful
Reminders were handy
Super easy and fast
Easy, and I’m not that tech savvy
Easy, straight forward, within minutes someone would call us; reassuring as we had problems with diarrhea secondary to potassium levels
Easy to use, repetitive in nature helped with awareness
Positive Interactions (with the research nurse)Interactions were great
Direct calls with RNs went well
Went well [conversation with nurse], friendly and open to conversation, beneficial
Research nurses were good, positive interactions
RNs were good and knowledgeable
Everyone [nurses] were informative and supportive, positive experience
Got better talking with nurses because of the app
Home Management: Helped Manage After DischargeYes, I can get a hold of nurse; helped me become less anxious
I think it helped initially to focus in on potential rejection symptoms; helped reassure that someone would call and talk through
The ‘difficulty’ questions weren’t particularly helpful, but didn’t hurt, might be valuable to some users
Nice to know that is there was a problem they would call back right away
Awareness versus management, didn’t take symptoms for granted
It keeps you cognizant of what to look for
Yes, couple of times we had difficulty with taking medications and nurse provided suggestions that helped
The app helped to take inventory of what was going on
If we had questions about the PICC line, the team was able to respond with direct feedback
Opportunities for ImprovementGood app, I liked it, possibly be able to open it back and do a follow-up note. It would be nice to have access to an ongoing record
Maybe change your parameters, I thought a ‘3’ was a good score so why did it cause a trigger? After than I put a ‘2’ and didn’t get a call
Continue beyond the 30-day mark

Home Management

The majority of participants (23/32, 72%) stated that the app allowed them to better manage their child’s medical-related care after hospital discharge. The family members noted that the app helped them to be aware of symptoms and monitor the child for rejection. They specifically identified the value of access to the nurse for managing problems and resolving difficulties with their child’s treatments. The app and response by the nurse provided support, reassurance, and help with managing emotions, as one participant stated, “if I put in an illness the nurse called, it helped me manage” and another participant stated, “it helped me focus on getting him [child] better”. As many as 5 participants (16%) reported that the app did not help in managing the child (ie, “not really” or “didn’t add much value”). Specifically, 1 family member stated, “Not really manage, more of an assist”.

Opportunities for Improvement

Although there were high levels of general acceptance, 25% of participants (8/32) also reported challenges, most frequently (4/8) technology-related challenges. Specifically, 1 participant stated, “In the beginning, the app didn’t work well on the phone; a study team member helped to get it working”. Two other participants reported feeling uncertain while using the app. For example, 1 participant stated, “When it talked about bowel movements, I’d question whether I should say ‘yes’ or ‘no’; if it changed a little, I wasn’t sure how to record”. Two participants stated that their only challenge was remembering to do the daily questions. One family member said, “No challenges other than remembering to complete it at times” and another parent stated, “the biggest challenge was remembering to complete it”.

In considering potential challenges, themes emerged from participant responses regarding recommendations to improve the app. In this, a few themes regarding ideas for improvement developed. First, 5 of the 32 family members recommended having the questions presented in a different order each day and with varying pictures. One participant supported this theme by stating, “switch up some of the questions.” Second, 4 participants recommended adding a space for extended feedback within the daily survey, that is, “Suggest adding a comments option. More chances for feedback...”. Four others recommended having more flexibility in calls with nurses. For example, “... the ability to leave a time to call back”. Lastly, 2 participants indicated that extending the use of the survey beyond 30 days would be beneficial, making a suggestion for, “longer, maybe out to the three-month mark”.

Table 3 lists additional family member responses for each of the 4 main themes.


Principal Findings

The use of mHealth is an innovative approach that complements medical management for supporting the transition from hospital to home-based family self-management for medically complex children. This study aimed to understand parent perspectives and acceptability of a family self-management intervention (myFAMI) for the first 30 days after the child’s heart, kidney, or liver transplantation. It was important to learn the family perspective on acceptability of myFAMI to more fully understand how to further improve this mHealth app to promote successful family self-management during this high-acuity time [30]. The themes emerging from family member responses to use of myFAMI provide insight into the usability and acceptability of a delivery model for postdischarge continuation of surveillance, support, and care management using an mHealth app combined with triggered nurse responses to support family self-management.

Family members reported overwhelmingly positive perceptions of acceptability of the app. The high acceptability for an mHealth smartphone intervention has been similarly reported by adult liver transplantation recipients who stated that an app would help with their transplantation recovery [14]. mHealth has also been reported as an accessible and effective way to provide medical care and psychosocial support to adolescent and young adult lung transplantation recipients, engaging them in their own health care [31]. Further, a study with a platform similar to the one used in this study utilized SMS text messaging with adolescent solid organ transplantation recipients. The high acceptance rate (68%) supported mHealth technology as an acceptable means of communicating with the clinical care team [32]. The widespread use of technology offers unique opportunities for the use of patient-nurse interfaces to efficiently support patients and families at home.

Family members reported appreciation for the positive interactions during direct conversations with the nurse (video or telephone) in response to triggers from the app, describing the nurses as knowledgeable and supportive. Adolescent heart, liver, and kidney transplantation recipients reported similar benefit to participating in an mHealth SMS text messaging intervention. More specifically, the adolescents reported appreciation for receiving SMS text messages and knowing someone is checking in as enhancing their health care experience [32]. Adult liver transplantation recipients prefer to use virtual video visits and SMS text message options to facilitate a fast response to questions especially early in the transplantation recovery process [14]. This immediate posttransplantation recovery phase was the focused time frame for myFAMI. Each family member received individual attention specific to the needs identified in his/her answers to the 8 daily questions. The importance of individualized care was also reported by lung transplantation recipients during the COVID-19 pandemic [31].

myFAMI is an individualized family self-management intervention that leveraged mHealth to facilitate timely and effective patient-nurse communication [24]. Family engagement is an important aspect of the posttransplantation recovery process and highlights the significance of developing and fostering a mutually beneficial partnership between families and the health care team [17]. Parents of transplantation recipients have reported the importance of seeking out information to participate in the medical discussion and decision making [8]. This supports how family members were engaged in the intervention by answering the daily questions in the app and talking to the nurse if a trigger alert was generated.

Families valued the support from medical experts in addition to their primary transplantation team. Parents of transplanted children reported that they were worried about complications, documented stress and worry in the first 3 weeks after hospital discharge, and indicated that support from the medical team had a positive influence on their ability to cope [9]. The additional layer of surveillance or monitoring was also positively received by family members in this study. Caregivers of adult lung transplantation recipients identified the need for and importance of additional education from the transplantation team [33]. Providing ongoing nursing support and education is an opportunity to promote effective family self-management in the home environment. The myFAMI nurses overwhelmingly provided ongoing support and education during their conversations with the family members in this study.

Recommendations for improvement to the app were functional and included extending the time frame for communication beyond 30 days following discharge. The 30-day time frame for this study was chosen based on hospital quality indicators for readmission [34,35]; however, family needs may not follow this specific schedule. Family members also suggested variability in the app, including presenting the questions in different order each day and using a variety of pictures to make the tool more engaging. An opportunity to schedule times to speak with the nurse may meet individual family member priorities including extended hours. With this qualitative design, distinct recommendations from the end user (family member) can be considered for future versions of myFAMI. Incorporation of enhancements can support an improved experience for family members utilizing myFAMI in the future.

Study limitations exist. The study questions focused on the experience with and acceptability of myFAMI and did not address other opportunities for support or identify other family member needs. Non-English speaking families were excluded in this pilot study and future research with this population is indicated. The racial breakdown of the myFAMI group was predominantly White, indicating a clear lack of racial diversity. Future research can target diverse populations to identify racial or ethnic disparities experienced after transplantation and unique opportunities to support family self-management [36,37].

A strength of this study was identifying the family experience for different family structures including mom/aunt, mom/dad, and mom/grandmother. While the sample size was small and limited robust statistical analyses, it was sufficient to reach saturation with commonality reported by family member experiences. However, future studies would benefit from larger samples sizes that would allow for differentiation of the unique perspectives of each type of family member.

Conclusions

This is the first study to qualitatively explore family member perceptions on the acceptability of a family self-management intervention for family members of pediatric heart, kidney, or liver transplantation recipients. Family members value and appreciate ongoing support and education specifically in the first 30 days after their child’s hospital discharge. myFAMI allowed for the opportunity for families to feel connected to the medical team while in their home environment. A fully powered clinical trial to determine outcomes of myFAMI is indicated to extend the knowledge for use of mHealth to promote successful family self-management. The use of mHealth in a transitional care delivery model that also includes nurse-patient interaction initiated through the mHealth app may be an effective way to improve overall outcomes for solid organ transplantation patients and their families and a model to consider in other chronic illness populations.

Acknowledgments

We thank members of the mentoring team, Drs Medoff-Cooper, Ahamed, and Simpson, who provided support and guidance during the development and conduct of this study. We also thank the following individuals for their important role in the conduct of this study: Riddhiman Adib, Melodee Liegl, Jeff Crawford, Katie Neighbors, Mary Riordan, Melissa Semp, Truc Vo, Gail Stendahl, Shelley Chapman, and Rachel Unteutsch. An additional thank you to Drs Kindel, Pan, and Telega, for their support of this research project. Finally, we thank Dr Marianne Weiss for her ongoing support and guidance. Research reported in this publication was supported by the National Institute of Nursing Research of the National Institutes of Health under Award Number K23NR017652.

Conflicts of Interest

None declared.

  1. United Network for Organ Sharing (UNOS). Transplants in the US by recipient age 2022. OPTN.   URL: https://optn.transplant.hrsa.gov/data/view-data-reports/national-data/# [accessed 2022-06-30]
  2. Brett KE, Ritchie LJ, Ertel E, Bennett A, Knoll GA. Quality Metrics in Solid Organ Transplantation: A Systematic Review. Transplantation 2018 Jul;102(7):e308-e330 [FREE Full text] [CrossRef] [Medline]
  3. Young G, Mintzer L, Seacord D, Castañeda M, Mesrkhani V, Stuber ML. Symptoms of posttraumatic stress disorder in parents of transplant recipients: incidence, severity, and related factors. Pediatrics 2003 Jun;111(6 Pt 1):e725-e731. [CrossRef] [Medline]
  4. Mohammad S, Sundaram SS, Mason K, Lobritto S, Martinez M, Turmelle YP, et al. Improvements in Disease-Specific Health-Related Quality of Life of Pediatric Liver Transplant Recipients During Immunosuppression Withdrawal. Liver Transpl 2021 May 30;27(5):735-746 [FREE Full text] [CrossRef] [Medline]
  5. Ko D, Bratzke LC, Muehrer RJ, Brown RL. Self-management in liver transplantation. Appl Nurs Res 2019 Feb;45:30-38. [CrossRef] [Medline]
  6. Ryan JL, Dandridge LM, Fischer RT. Adherence to laboratory testing in pediatric liver transplant recipients. Pediatr Transplant 2021 May;25(3):e13899. [CrossRef] [Medline]
  7. Lerret S, Weiss M. How ready are they? Parents of pediatric solid organ transplant recipients and the transition from hospital to home following transplant. Pediatr Transplant 2011 Sep;15(6):606-616. [CrossRef] [Medline]
  8. Lerret SM, Haglund KA, Johnson NL. Parents' Perspectives on Shared Decision Making for Children With Solid Organ Transplants. J Pediatr Health Care 2016 Jul;30(4):374-380. [CrossRef] [Medline]
  9. Lerret SM, Weiss ME, Stendahl G, Chapman S, Neighbors K, Amsden K, et al. Transition from hospital to home following pediatric solid organ transplant: qualitative findings of parent experience. Pediatr Transplant 2014 Aug 12;18(5):527-537 [FREE Full text] [CrossRef] [Medline]
  10. Lerret SM, Johnson NL, Haglund KA. Parents' perspectives on caring for children after solid organ transplant. J Spec Pediatr Nurs 2017 Jul 31;22(3):e12178. [CrossRef] [Medline]
  11. Geramita E, DeVito Dabbs AJ, DiMartini A, Pilewski J, Switzer G, Posluszny D, et al. Impact of a Mobile Health Intervention on Long-term Nonadherence After Lung Transplantation: Follow-up After a Randomized Controlled Trial. Transplantation 2020 Mar;104(3):640-651 [FREE Full text] [CrossRef] [Medline]
  12. Vanhoof JMM, Vandenberghe B, Geerts D, Philippaerts P, De Mazière P, DeVito Dabbs A, PICASSO-Tx Consortium. Technology Experience of Solid Organ Transplant Patients and Their Overall Willingness to Use Interactive Health Technology. J Nurs Scholarsh 2018 Mar 28;50(2):151-162. [CrossRef] [Medline]
  13. DeVito Dabbs A, Song MK, Myers BA, Li R, Hawkins RP, Pilewski JM, et al. A Randomized Controlled Trial of a Mobile Health Intervention to Promote Self-Management After Lung Transplantation. Am J Transplant 2016 Jul 14;16(7):2172-2180 [FREE Full text] [CrossRef] [Medline]
  14. Lieber SR, Kim HP, Baldelli L, Evon DM, Teal R, Nash R, et al. What Liver Transplant Recipients Want in a Smartphone Intervention to Enhance Recovery: Prototype for the LiveRight Transplant App. Liver Transpl 2021 Apr 15;27(4):584-589. [CrossRef] [Medline]
  15. Starkweather A, Jacelon CS, Bakken S, Barton DL, DeVito Dabbs A, Dorsey SG, et al. The Use of Technology to Support Precision Health in Nursing Science. J Nurs Scholarsh 2019 Nov 30;51(6):614-623 [FREE Full text] [CrossRef] [Medline]
  16. Weiss M, Bobay K, Bahr S, Costa L, Hughes R, Holland D. A Model for Hospital Discharge Preparation: From Case Management to Care Transition. J Nurs Adm 2015 Dec;45(12):606-614. [CrossRef] [Medline]
  17. Jerofke-Owen TA, McAndrew NS, Gralton KS, Totka JP, Weiss ME, Fial AV, et al. Engagement of Families in the Care of Hospitalized Pediatric Patients: A Scoping Review. J Fam Nurs 2022 May 04;28(2):151-171. [CrossRef] [Medline]
  18. Naylor MD, Brooten D, Campbell R, Jacobsen BS, Mezey MD, Pauly MV, et al. Comprehensive discharge planning and home follow-up of hospitalized elders: a randomized clinical trial. JAMA 1999 Mar 17;281(7):613-620. [CrossRef] [Medline]
  19. Naylor MD, Brooten DA, Campbell RL, Maislin G, McCauley KM, Schwartz JS. Transitional care of older adults hospitalized with heart failure: a randomized, controlled trial. J Am Geriatr Soc 2004 May;52(5):675-684. [CrossRef] [Medline]
  20. Coleman EA, Mahoney E, Parry C. Assessing the quality of preparation for posthospital care from the patient's perspective: the care transitions measure. Med Care 2005 Mar;43(3):246-255. [CrossRef] [Medline]
  21. Sorber J, Shin M, Peterson R, Cornelius CS, Mare S, Prasad A, et al. An amulet for trustworthy wearable mHealth. 2012 Presented at: HotMobile '12: 13th Workshop on Mobile Computing Systems and Applications; February 28-29, 2012; San Diego, CA. [CrossRef]
  22. Istepanian R, Jovanov E, Zhang Y. Introduction to the special section on M-Health: beyond seamless mobility and global wireless health-care connectivity. IEEE Trans Inf Technol Biomed 2004 Dec;8(4):405-414. [CrossRef] [Medline]
  23. Park S, Jayaraman S. Enhancing the quality of life through wearable technology. IEEE Eng Med Biol Mag 2003 May;22(3):41-48. [CrossRef] [Medline]
  24. Lerret SM, Schiffman R, White-Traut R, Medoff-Cooper B, Ahamed SI, Adib R, et al. Feasibility and Acceptability of a mHealth Self-Management Intervention for Pediatric Transplant Families. West J Nurs Res 2021 Jun 21:1939459211024656. [CrossRef] [Medline]
  25. Weiner BJ, Lewis CC, Stanick C, Powell BJ, Dorsey CN, Clary AS, et al. Psychometric assessment of three newly developed implementation outcome measures. Implement Sci 2017 Aug 29;12(1):108 [FREE Full text] [CrossRef] [Medline]
  26. Zauszniewski J, Bekhet A, Herbell K. Comprehensive evaluation of interventions: eight vital parameters. Nurse Res 2018 Dec 06;26(3):20-25. [CrossRef] [Medline]
  27. Adib R, Das D, Ahamed SI, Lerret SM. An mHealth App-Based Self-management Intervention for Family Members of Pediatric Transplant Recipients (myFAMI): Framework Design and Development Study. JMIR Nurs 2022 Jan 04;5(1):e32785 [FREE Full text] [CrossRef] [Medline]
  28. Lerret SM, White-Traut R, Medoff-Cooper B, Simpson P, Adib R, Ahamed SI, et al. Pilot study protocol of a mHealth self‐management intervention for family members of pediatric transplant recipients. Res Nurs Health 2020 Jan 27;43(2):145-154. [CrossRef]
  29. Sandelowski M. Qualitative analysis: what it is and how to begin. Res Nurs Health 1995 Aug;18(4):371-375. [CrossRef] [Medline]
  30. Verghese PS, Chinnakotla S, Berglund D, Matas AJ, Chavers B. Re-hospitalization after pediatric kidney transplant: A single-center study. Pediatr Transplant 2020 Aug 24;24(5):e13717. [CrossRef] [Medline]
  31. Hatzikiriakidis K, West S, Ayton D, Morris H, Martin RS, Paraskeva M. When immunosuppression and COVID-19 intersect: An exploratory qualitative study of young lung transplant recipient perceptions of daily life during a pandemic. Pediatr Transplant 2022 Apr 15:e14281. [CrossRef] [Medline]
  32. Rathgeber SL, Hutchison SM, De Souza A, Lester R, Blydt-Hansen T, Human DG, et al. A text messaging intervention and quality of life in adolescents with solid organ transplants. Pediatr Transplant 2022 May 09;26(3):e14219. [CrossRef] [Medline]
  33. Glaze JA, Brooten D, Youngblut JA, Hannan J, Page T. The Lived Experiences of Caregivers of Lung Transplant Recipients. Prog Transplant 2021 Dec 27;31(4):299-304. [CrossRef] [Medline]
  34. Srivastava R, Keren R. Pediatric readmissions as a hospital quality measure. JAMA 2013 Jan 23;309(4):396-398. [CrossRef] [Medline]
  35. Berry JG, Hall M, Neff J, Goodman D, Cohen E, Agrawal R, et al. Children with medical complexity and Medicaid: spending and cost savings. Health Aff (Millwood) 2014 Dec;33(12):2199-2206 [FREE Full text] [CrossRef] [Medline]
  36. Niranjan SJ, Durant RW, Wenzel JA, Cook ED, Fouad MN, Vickers SM, et al. Training Needs of Clinical and Research Professionals to Optimize Minority Recruitment and Retention in Cancer Clinical Trials. J Cancer Educ 2019 Feb 3;34(1):26-34 [FREE Full text] [CrossRef] [Medline]
  37. Taani MH, Zabler B, Fendrich M, Schiffman R. Lessons learned for recruitment and retention of low-income African Americans. Contemp Clin Trials Commun 2020 Mar;17:100533 [FREE Full text] [CrossRef] [Medline]


mHealth: mobile health


Edited by E Borycki; submitted 10.05.22; peer-reviewed by E Baker; comments to author 14.06.22; revised version received 23.06.22; accepted 23.06.22; published 15.07.22

Copyright

©Stacee Marie Lerret, Erin Flynn, Rosemary White-Traut, Estella Alonso, Alisha M Mavis, M Kyle Jensen, Caitlin G Peterson, Rachel Schiffman. Originally published in JMIR Nursing (https://nursing.jmir.org), 15.07.2022.

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