Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Improving medication adherence monitoring and clinical outcomes through mHealth: A randomized controlled trial protocol in pediatric stem cell transplant

  • Jessica E. Ralph,

    Roles Conceptualization, Methodology, Project administration, Writing – original draft, Writing – review & editing

    Affiliation The Abigail Wexner Research Institute at Nationwide Children’s Hospital, Columbus, Ohio, United States of America

  • Emre Sezgin,

    Roles Conceptualization, Methodology, Writing – review & editing

    Affiliations The Abigail Wexner Research Institute at Nationwide Children’s Hospital, Columbus, Ohio, United States of America, The Ohio State University College of Medicine, Columbus, Ohio, United States of America

  • Charis J. Stanek,

    Roles Writing – original draft, Writing – review & editing

    Affiliation The Abigail Wexner Research Institute at Nationwide Children’s Hospital, Columbus, Ohio, United States of America

  • Wendy Landier,

    Roles Conceptualization, Methodology, Writing – review & editing

    Affiliation University of Alabama Birmingham School of Medicine, Birmingham, Alabama, United States of America

  • Ahna L. H. Pai,

    Roles Conceptualization, Methodology, Writing – review & editing

    Affiliation Cincinnati Children’s Hospital Medical Center & University of Cincinnati, Cincinnati, Ohio, United States of America

  • Cynthia A. Gerhardt,

    Roles Conceptualization, Methodology, Supervision, Writing – review & editing

    Affiliations The Abigail Wexner Research Institute at Nationwide Children’s Hospital, Columbus, Ohio, United States of America, The Ohio State University College of Medicine, Columbus, Ohio, United States of America

  • Micah A. Skeens

    Roles Conceptualization, Funding acquisition, Methodology, Project administration, Supervision, Writing – original draft, Writing – review & editing

    Micah.Skeens@nationwidechildrens.org

    Affiliations The Abigail Wexner Research Institute at Nationwide Children’s Hospital, Columbus, Ohio, United States of America, The Ohio State University College of Medicine, Columbus, Ohio, United States of America

Abstract

Medication non-adherence rates in children range between 50% and 80% in the United States. Due to multifaceted outpatient routines, children receiving hematopoietic stem cell transplant (HCT) are at especially high risk of non-adherence, which can be life-threatening. Although digital health interventions have been effective in improving non-adherence in many pediatric conditions, limited research has examined their benefits among families of children receiving HCT. To address this gap, we created the BMT4me© mobile health app, an innovative intervention serving as a “virtual assistant” to send medication-taking reminders for caregivers and to track, in real-time, the child’s medication taking, barriers to missed doses, symptoms or side effects, and other notes regarding their child’s treatment. In this randomized controlled trial, caregivers will be randomized to either the control (standard of care) group or the intervention (BMT4me© app) group at initial discharge post-HCT. Both groups will receive an electronic adherence monitoring device (i.e., medication event monitoring system “MEMS” cap, Medy Remote Patient Management “MedyRPM” medication adherence box) to store their child’s immunosuppressant medication. Caregivers who agree to participate will be asked to complete enrollment, weekly, and monthly parent-proxy measures of their child’s medication adherence until the child reaches Day 100 or complete taper from immunosuppression. Caregivers will also participate in a 15 to 30-minute exit interview at the conclusion of the study. Descriptive statistics and correlations will be used to assess phone activity and use behavior over time. Independent samples t-tests will examine the efficacy of the intervention to improve adherence monitoring and reduce readmission rates. The primary expected outcome of this study is that the BMT4me© app will improve the real-time monitoring and medication adherence in children receiving hematopoietic stem cell transplant following discharge, thus improving clinical outcomes.

Introduction

Poor adherence accounts for up to 70% of all medication-related hospital admissions [1, 2] in the United States, resulting in approximately $100 billion in healthcare costs annually [3]. Non-adherence rates have been reported as high as 50–80% in pediatric chronic illness populations [46]. and 51 to 66% in adult hematopoietic stem cell transplant (HCT) patients [7, 8]. A growing body of evidence in chronic illnesses suggestst non-adherence is associated with adverse clinical outcomes, including infectious complications, hospital admissions, and even death [912]. However, the impact of non-adherence on pediatric HCT clinical outcomes is largely unknown.

Hematopoietic stem cell transplant patients are most immunocompromised during the first 100 days [13], thus during this time, HCT recipients must adhere to multifaceted and complex outpatient medication regimens. Specifically, adherence to immunosuppressant medications during the acute phase (first 100 days) post-transplant is critical to prevent graft versus host disease (GVHD) and avoid graft failure [7, 14, 15]. Children that develop acute GVHD have a 30% to 50% chance of survival. Morbidity and mortality due to GVHD can be decreased through prophylactic use of immunosuppressants [14, 16, 17]. Although these medications are costly and produce unpleasant side effects [14], adherence is critical to decrease complications, reduce readmissions, and ultimately increase quality of life and survival [10].

The complexity and duration of treatment regimens, along with forgetfulness, have been consistently identified as the primary determinants of medication non-adherence [6, 10, 11, 1820]. Specifically, reasons for pediatric non-adherence are multifactorial and encompass various factors [2022] As primary caregivers, they are responsible for filling prescriptions, retrieving medications, and ensuring their child receives the prescribed therapy correctly [2325]. In the high-risk HCT population, caregivers are isolated with their child due to infection risk and must manage challenging treatment regimens at home, often with limited time and support. Complex behavioral interventions, typically employed to address non-adherence, are difficult to deliver and manage in the context of these daily tasks, especially when one considers the geographic, resource, and time constraints families of chronically ill children face [26].

mHealth apps offer solutions to address non-adherence, reduce potential barriers, and are widely available, simple, and innovative [2732]. However, their feasibility, acceptability, and usability, especially in pediatric care, remain uncertain. Recent reviews of pediatric medical adherence apps found that none identified individual barriers to adherence [33] and, specific to the pediatric oncology population, nearly all were designed solely for education or nonmedication-related purposes [34]. Similarly, to the best of our knowledge, limited applications and research exist regarding adherence in pediatric HCT, and broad gaps exist with regard to adherence to immunosuppressant medication.

To address these gaps, this longitudinal, pilot RCT protocol reports the design and methods of a preliminary acceptability and efficacy study of the BMT4me© mobile health app (referred to hereinafter as the “BMT4me© app”), as well as the feasibility of enrolling and retaining 50 caregivers of children during the acute, outpatient phase (i.e., first 100 days) post-HCT.

Hypotheses

We hypothesize caregivers enrolled in this study will: (a) report above average acceptability (≥ 68%) of the BMT4me© app, and ≥ 75% of participants will enroll and complete all study-related assessments in both arms, (b) have higher adherence frequency, if randomized to the BMT4me© app, than the standard of care group, and (c) have less GVHD and fewer readmissions than the standard of care group.

Methods

Design

This is a longitudinal pilot randomized controlled trial (RCT) designed to test the efficacy of the BMT4me© app intervention on adherence to immunosuppressant medication in families of children discharged during the acute phase post-HCT. This study will take place at Nationwide Children’s Hospital (NCH), a large, academic, free-standing pediatric hospital in the Midwestern United States. Children and primary caregivers will be screened for eligibility during HCT, and caregivers of eligible participants will be approached regarding the study prior to the child’s discharge from the hospital. Participating families will be randomized (1:1) to either the standard of care control group or the BMT4me© app intervention group. Families in both groups will be assigned medication adherence monitoring devices and complete follow-up assessments once per week during the acute phase (i.e., approximately 11 weeks or 100 days) or until the child completes their immunosuppression medication taper. The objective of this RCT is to evaluate the acceptability of the newly developed BMT4me© app and the feasibility of enrolling and retaining 50 caregivers of children in the acute phase post-HCT. The secondary objective is to evaluate the potential efficacy of the BMT4me© app on adherence to immunosuppressant medications in children who have been discharged home during the acute phase post-HCT.

Setting and participants

Participants will include primary caregivers of children post HCT. Primary caregivers will be identified by study staff through NCH’s HCT unit electronic medical record prior to the child’s discharge. Children of caregivers must be: (a) 0 to 21 years of age, (b) receiving immunosuppression for an allogenic transplant, (c) discharged prior to day 100 or immunosuppression taper, and (d) residing with a primary caregiver that enrolls on the study. Primary caregivers must be: (a) English-speaking and (b) have an iOS or Android capable cellular device. To be inclusive of varying family structures, eligible primary caregivers may also include any legal guardian of the child (e.g., adoptive parent, grandparent, aunt/uncle, etc.). Caregivers are ineligible if they are unable to consent or the participating child has a documented developmental delay.

Sample size calculations

The overall goal of this pilot RCT is to examine preliminary acceptability and efficacy of the BMT4me© app and assess the feasibility of enrolling and retaining 50 caregivers of children in the acute phase post-HCT. The sample of 50 caregivers (25 intervention, 25 standard of care) was chosen to inform a multi-site, confirmatory RCT that will be sufficiently powered. Estimates of potential recruitment/retention rates are based on cancer registry data and high recruitment rates at NCH for this population of caregivers. Estimated rates of recruitment are feasible considering there are approximately 80 HCT completed annually at NCH. Thus, there will be an ample number of eligible families to approach. We will compute effect sizes (e.g., standardized mean difference) using two-sided Type I error rates of α < .05 for the randomized group comparison to use for our future work assessing the efficacy of the intervention.

Recruitment and randomization

Primary caregivers of children post-HCT will be approached in person after engraftment occurs and prior to the child’s discharge. If families express interest in participating, trained research staff will explain the purpose of the study and the study activities. Upon receiving confirmation from caregivers that they would like to participate, research staff will then guide them through the informed consent process (either written or electronic, whichever they prefer).

After informed consent is obtained, primary caregivers will be randomized to either the control (standard of care) group or the intervention (BMT4me© app) group. Randomization will be created in the online data collection tool REDCap® [35] by the project’s statistician via a Randomization Module. The randomization sequence will be based on a design with blocks of four or six, chosen randomly within the sequence with equal probability. Randomly varying block sizes reduce the chance that research staff will guess the next group assignment, minimizing unconscious bias. The randomization sequence is protected and only the statistician will be able to edit it. However, study staff will have permissions to randomize and see the allocated group assignments when they log into REDCap®.

Following randomization, caregivers will be asked to complete baseline assessments (Table 1). All families will receive standard education at discharge with regards to medications and a medication list for their child. An electronic adherence monitoring device will be administered to all families at the beginning of the study. Caregivers of children prescribed immunosuppressant medications in a liquid form will receive a Medy remote patient management (MedyRPM) box [36]. MedyRPM will collect adherence data each time the box lid is opened and closed via a Bluetooth HUB and enabled monitor attached to the box [36]. Data will be transmitted via LTE connectivity cloud services and be available for viewing by study staff on a comprehensive patient management portal [36]. Caregivers of children who are receiving their immunosuppressant medication via pill or capsule will have the option of either using a MedyRPM box or medication event monitoring system® (MEMS) cap [37], whichever they prefer, for the duration of the study. MEMS® Caps have been used consistently to measure medication adherence [38, 39] by collecting data via a micro-electronic circuit which date/timestamps when the container is opened and closed. Study staff will download the data collected on the MEMS® cap weekly via the MEMS® adherence desktop software [37]. Additionally, caregivers assigned to the intervention group will have the BMT4me© app downloaded onto their personal device to log doses of medications. Brief follow-up assessments will occur weekly in person during participants’ clinical appointments or virtually, via email or telephone, whichever the family prefers, in both groups. Reasons for non-participation and dropout will be tracked. Each family will be given a $50 gift card at their time of enrollment, followed by another $25 at the end of the study, for a total of $75 in subject compensation. See Fig 1 for a timeline of the study.

Intervention

The BMT4me© app intervention was informed by Behavioral Economics (BE) Theory [40, 41] and the Pediatric Self-management Model [42]. Stakeholder feedback of wireframes was conducted through a mixed methods usability study and informed the initial development of the app. Then, the intervention was tested in a pilot study of primary caregivers of children discharged after HCT in a quasi-experimental pre-post design [43]. Caregiver feedback during final qualitative interviews were utilized to further modify the app, resulting in the current intervention (BMT4me 2.0©) employed within the scope of this RCT.

BMT4me 2.0© (Fig 2) was designed to aid in the management of medications, improve adherence monitoring, and track symptoms or medication side effects in real-time [43]. The app’s push notification feature reminds users of medication doses, utilizes ecological momentary assessment (EMA) [44] to record the time a medication was taken, and prompts users to provide reasons for missed doses. Users can add medications by entering them directly into the app or by capturing an image of the prescription with their phone camera with the image-to-text feature. Additionally, users can record symptoms and severity on a 1-to-10 sliding scale, with corresponding changing emojis. These visual aids make symptom entry more convenient and easily understandable for app users. Other features include a notes page for recording details of care, as well as the ability to upload photos and weekly summaries that can be converted to pdf format and shared with providers. The app is available for download on both iOS and Android devices in English language.

thumbnail
Fig 2. Schedule of enrollment, interventions, and assessments.

https://doi.org/10.1371/journal.pone.0289987.g002

After randomization, caregivers randomized to the BMT4me© app will have the application installed on their personal cell phone device prior to discharge at no cost. Research staff will conduct a brief tutorial on functions and demonstrate use. These sessions will be audio-recorded (treatment fidelity). The caregiver will add immunosuppressants and the schedule for administration with oversight by the primary discharge nurse to ensure accuracy. Accuracy of medications within the app will be verified and recorded at each study visit, conducted during the child’s weekly clinic appointment (fidelity check). Caregivers will receive a reminder when their child’s immunosuppressant medication is due based on their chosen medication administration schedule.

Data collection

Data will be collected at the following time points from both groups; discharge, weekly for the first 100 days (i.e., approximately 11 weeks) post-discharge, or until the participant’s child completes their taper from immunosuppressant medication, and monthly (for approximately 3 months). Specifically, the following data will be collected: baseline medical information (i.e., diagnosis, age at diagnosis, treatment history, medications), demographic characteristics, perceptions post-HCT, barriers to medication adherence, serum immunosuppression assays, caregiver reports of adherence to medications, and caregiver proxy report of child quality of life. Monthly electronic adherence monitoring devices and clinical outcomes data will also be collected in both groups. At the conclusion of the study, caregivers in the intervention group will complete the System Usability Scale. Caregivers in both groups will participate in a 15–30 minute semi-structured interview addressing: 1) experience with adherence post-transplant and participation in the trial (e.g., benefit, burden, barriers, satisfaction) and 2) caregivers in the app arm will be asked to share any suggestions to improve the BMT4me© app. Measures are described in Table 1.

Outcomes

The primary expected outcome of this study is that caregivers will report above average acceptability (≥ 68%) of the BMT4me© app and those families randomized to receive the BMT4me© app will have higher medication adherence frequency than the standard of care group. The secondary expected outcome is that those children whose caregiver was randomized to receive the BMT4me© app will have less GVHD and fewer readmissions compared to the standard of care group. Descriptive statistics, correlations, and independent samples t-tests will examine the primary and secondary outcomes. The goal of this intervention is to increase adherence to immunosuppressant medication and improve key clinical outcomes such as graft vs. host disease and readmissions relative to standard care.

Ethics

The Institutional Review Board (IRB) at NCH approved the project (#STUDY00002478) on March 22, 2022. Eligible participants include caregivers aged 18 or older. All eligible participants will provide written informed consent via pen and paper or electronically through an electronic signature module on REDCap [35] prior to study participation. This trial is registered in ClinicalTrials.gov (identifier NCT05515497). At the conclusion of the study, data will be made available and results from the trial will be submitted to ClinicalTrials.gov.

Due to the sensitive nature of the project, staff members have and will continue completing extensive training in research ethics both internally through NCH’s Learning Center modules and externally through the Collaborative Institutional Training Initiative (CITI) [45] online training portal. Moreover, staff will be closely supervised by the primary investigator (PI) who has extensive experience working with families and children undergoing HCT. The only authors of this manuscript who have access to information that could identify individual participants prior to, during, or after data collection are members of the research team who have received approval from the IRB at NCH.

Statistical analyses

Quantitative

During the passive use observation period, passive data modules will capture phone activity and caregivers’ application use (e.g., time/date, duration of use). Descriptive statistics will be used to analyze phone activity. Correlations will be used to investigate app use behavior over time. Acceptability will be assessed by averaging total scores from the system usability scale (SUS). Consistent with the literature [4648], scores greater than 68% on the SUS will be considered acceptable [49]. The proportion of participants that enroll and complete the study will be examined to assess study feasibility.

The potential efficacy of the BMT4me© app will be examined using an independent samples t-test where the outcome is the proportion of adherence (i.e., the number of doses taken divided by the number of doses prescribed). If adherence is substantially non-normal, efficacy will be examined using an analogous logistic regression model. GVHD stages will be compared between the intervention and usual care groups using a chi-square analysis given the ordinal nature of this variable, whereas number of readmissions will be compared across the two groups using an independent samples t-test. If the number of readmissions is substantially non-normal, an analogous Poisson regression model will be used. Because the nature of the study is exploratory rather than confirmatory, the objective of the analysis is effect size estimation rather than formal hypothesis testing, and threats to power (e.g., participant attrition due to patient death, early taper) are not a primary concern. We will compute effect sizes (e.g., a standardized mean difference) for the randomized group comparison to inform our future work assessing the efficacy of the intervention on adherence to immunosuppression medication. Moreover, an exploratory aim will examine moderators by adding an interaction term and corresponding main effect for the moderator to the statistical model via the statistical software Mplus.

Qualitative

Interviews will be audio-taped and transcribed verbatim then imported into NVivo [50]. The qualitative data analysis computer software within NVivo will then be utilized for content analysis using the constant comparison method, by at least two independent, trained, doctoral level coders. Study staff will read with immersion (i.e., repeatedly reading a subset of transcripts), cluster similar ideas to inform preliminary categories, and review and revise coding schemes. Study staff will then apply the codes to a second subset of transcripts, revise them as necessary, and repeat this process until saturation is reached [5153]. Member checking will be completed with a subsample to obtain family input on thematic codes as a final validity check. Frequency counts of final themes will be obtained [52].

Discussion

While long-term survival rates and better clinical outcomes have increased in pediatric hematological and oncological populations due to innovative therapies, poor adherence persists [54]. Reasons for non-adherence are complex, but may be due to levels of caregiver engagement, age of child, social factors, and cognitive factors [55]. Thus, with nearly 2,500 children receiving HCT annually [56]- and the increased societal burden (e.g., increases in costs of care and need for more clinicians to care for children due to the occurrence of adverse outcomes as they relate to non-adherence) associated with the higher number of transplants each year [5759] there is a need for research examining potential targeted interventions to address non-adherence to medication regimens. The strengths of this RCT and digital health intervention include constructs from behavioral health and BE theory, which drive data collection and analysis [43], as well as the use of a mixed methods approach, which will allow for a comprehensive understanding of the acceptability and efficacy of the BMT4me© app intervention and the feasibility of enrolling 50 caregivers of children discharged following HCT. Additionally, the intervention has undergone numerous rounds of testing with families and stakeholders (i.e., HCT families, physicians, and nurses) whose unique and vital perspectives have informed its development to make it more desirable to HCT families. Finally, the universally accessible nature of the intervention means that families’ sociodemographic factors (e.g., distance from hospital/treatment site, access to reliable transportation and Wi-Fi, affordability of the intervention, etc.), which have been reported as barriers in the implementation of other interventions [60, 61], are not applicable within the context of this study.

This study design is not without potential limitations. First, participation may be burdensome; however, assessments are purposefully brief to reduce burden and caregivers will have the option of completing paper/pencil or electronic measures. Participants may also complete measures virtually via REDCap link or over the phone with study staff so their weekly clinic appointments are not impeded. Although some families may not have smartphones, we do not expect access to technology will be a significant exclusionary factor, as >90% of adults in the US own a mobile device [62]. If access is a problem, smartphones will be provided to families. Finally, the intervention is only available to English-speaking caregivers at this time, but opportunities to expand the intervention’s inclusivity (i.e., adding additional languages) are being pursued.

Conclusion

In this protocol, we describe an RCT to evaluate the acceptability and efficacy of the newly developed BMT4me© app, as well as the feasibility of recruiting and retaining 50 caregivers of children who have been discharged during the acute phase post-HCT. Based on behavioral economics theories and adherence literature, we predict that this novel intervention will assist families in managing post-discharge medications, increase their adherence to medical regimens, and mitigate the onset of GVHD and subsequent readmissions. It is our understanding that this is the first prospective, longitudinal RCT examining the effects of the BMT4me© smartphone application intervention on adherence to immunosuppressant medications in the pediatric HCT population. Ensuing outcomes will address critical gaps in non-adherence knowledge and inform future studies of digital intervention outcomes in pediatric HCT.

References

  1. 1. Bissonnette JM. Adherence: a concept analysis. J Adv Nurs. 2008 Sep;63(6):634–43. pmid:18808585
  2. 2. McGrady ME, Hommel KA. Medication adherence and health care utilization in pediatric chronic illness: a systematic review. Pediatrics. 2013 Oct;132(4):730–40. pmid:23999953
  3. 3. Drotar D, Crawford P, Bonner M. Collaborative decision-making and promoting treatment adherence in pediatric chronic illness. Patient Intelligence. 2010;2:1–7.
  4. 4. Drotar D. Strategies of adherence promotion in the management of pediatric chronic conditions. J Dev Behav Pediatr. 2013 Nov;34(9):716–29. pmid:24247913
  5. 5. Fiese B. Medical Adherence and Childhood Chronic Illness: family daily management skills and emotional climate as emerging contributors Current Opinions in. Pediatrics. 2006;8:551–7.
  6. 6. Landier W. Age span challenges: adherence in pediatric oncology. Semin Oncol Nurs. 2011 May;27(2):142–53. pmid:21514483
  7. 7. Ice LL, Bartoo GT, McCullough KB, Wolf RC, Dierkhising RA, Mara KC, et al. A Prospective Survey of Outpatient Medication Adherence in Adult Allogeneic Hematopoietic Stem Cell Transplantation Patients. Biol Blood Marrow Transplant. 2020 Sep;26(9):1627–34. pmid:32505809
  8. 8. Posluszny DM, Bovbjerg DH, Syrjala KL, Agha M, Farah R, Hou JZ, et al. Rates and predictors of nonadherence to the post-allogeneic hematopoietic cell transplantation medical regimen in patients and caregivers. Transplant Cell Ther. 2022 Mar;28(3):165.e1–165.e9. pmid:34875403
  9. 9. Pai ALH, McGrady M. Systematic review and meta-analysis of psychological interventions to promote treatment adherence in children, adolescents, and young adults with chronic illness. J Pediatr Psychol. 2014 Sep;39(8):918–31. pmid:24952359
  10. 10. Pai ALH, Rausch J, Drake S, Morrison CF, Lee JL, Nelson A, et al. Poor adherence is associated with more infections after pediatric hematopoietic stem cell transplant. Biol Blood Marrow Transplant. 2018 Feb;24(2):381–5. pmid:29102720
  11. 11. Quine L, Steadman L, Thompson S, Rutter DR. Adherence to anti-hypertensive medication: proposing and testing a conceptual model. Br J Health Psychol. 2012 Feb;17(1):202–19. pmid:22107150
  12. 12. Skeens M, Akard TF, Gilmer MJ, Garee A, Miller A. Toward a better understanding of pediatric BMT adherence: An exploration of provider perceptions. Biol Blood Marrow Transplant. 2014 Feb;20(2):S315.
  13. 13. Saad A, de Lima M, Anand S, Bhatt VR, Bookout R, Chen G, et al. Hematopoietic Cell Transplantation, version 2.2020, NCCN clinical practice Guidelines in oncology. J Natl Compr Canc Netw. 2020 May 1;18(5):599–634. pmid:32519831
  14. 14. Skeens MA, Dietrich MS, Ryan-Wenger N, Gilmer MJ, Mulvaney SA, Akard TF. The Medication Level Variability Index (MLVI) as a potential predictive biomarker of graft-versus-host disease in pediatric hematopoietic stem cell transplant patients. Pediatr Transplant. 2019 Aug;23(5):e13451. pmid:31066981
  15. 15. Gresch B, Kirsch M, Fierz K, Halter JP, Nair G, Denhaerynck K, et al. Medication nonadherence to immunosuppressants after adult allogeneic haematopoietic stem cell transplantation: a multicentre cross-sectional study. Bone Marrow Transplant. 2017 Feb;52(2):304–6. pmid:27841860
  16. 16. Phan M, Chavan R, Beuttler R, Benipayo N, Magedman G, Buchbinder D, et al. Evaluating risk factors for acute graft versus host disease in pediatric hematopoietic stem cell transplant patients receiving tacrolimus. Clin Transl Sci. 2021 Jul;14(4):1303–13. pmid:33503293
  17. 17. Wolff D, Lawitschka A. Chronic graft-versus-host disease. The EBMT handbook: hematopoietic stem cell transplantation and cellular therapies. 2019;331–45.
  18. 18. Shemesh E, Shneider BL, Savitzky JK, Arnott L, Gondolesi GE, Krieger NR, et al. Medication adherence in pediatric and adolescent liver transplant recipients. Pediatrics. 2004 Apr;113(4):825–32. pmid:15060234
  19. 19. Varni JW, Wallander JL. Adherence to health-related regimens in pediatric chronic disorders. Clin Psychol Rev. 1984 Jan;4(5):585–96.
  20. 20. Phipps S, DeCuir-Whalley S. Adherence issues in pediatric bone marrow transplantation. J Pediatr Psychol. 1990 Aug;15(4):459–75. pmid:2258795
  21. 21. Hommel KA, Ramsey RR, Rich KL, Ryan JL. Adherence to pediatric treatment regimens. Handbook of pediatric psychology. 2017;5:119–33.
  22. 22. Plevinsky JM, Gutierrez-Colina AM, Carmody JK, Hommel KA, Crosby LE, McGrady ME, et al. Patient-reported outcomes for pediatric adherence and self-management: A systematic review. J Pediatr Psychol. 2020 Apr 1;45(3):340–57. pmid:31845997
  23. 23. Hoegy D, Bleyzac N, Rochet C, De Freminville H, Rénard C, Kébaili K, et al. Medication adherence after pediatric allogeneic stem cell transplantation: Barriers and facilitators. Eur J Oncol Nurs. 2019 Feb;38:1–7. pmid:30717930
  24. 24. Laghari M, Talpur BA, Sulaiman SAS, Khan AH, Bhatti Z. Assessment of adherence to anti-tuberculosis treatment and predictors for non-adherence among the caregivers of children with tuberculosis. Trans R Soc Trop Med Hyg. 2021 Aug 2;115(8):904–13. pmid:33382889
  25. 25. Santer M, Ring N, Yardley L, Geraghty AWA, Wyke S. Treatment non-adherence in pediatric long-term medical conditions: systematic review and synthesis of qualitative studies of caregivers’ views. BMC Pediatr. 2014 Mar 4;14:63. pmid:24593304
  26. 26. Douthit N, Kiv S, Dwolatzky T, Biswas S. Exposing some important barriers to health care access in the rural USA. Public Health. 2015 Jun;129(6):611–20. pmid:26025176
  27. 27. García-Sánchez S, Somoza-Fernández B, de Lorenzo-Pinto A, Ortega-Navarro C, Herranz-Alonso A, Sanjurjo M. Mobile health apps providing information on drugs for adult emergency care: Systematic search on app stores and content analysis. JMIR MHealth UHealth. 2022 Apr 20;10(4):e29985. pmid:35442212
  28. 28. Hommel KA, Gray WN, Hente E, Loreaux K, Ittenbach RF, Maddux M, et al. The Telehealth Enhancement of Adherence to Medication (TEAM) in pediatric IBD trial: Design and methodology. Contemp Clin Trials. 2015 Jul;43:105–13. pmid:26003436
  29. 29. IQVIA Institute For Human Data Science. Digital Health Trends 2021: Innovation, Evidence, Regulation, and Adoption [Internet]. IQVIA. 2023 [cited 2023 Apr 20]. Available from: https://www.iqvia.com/-/media/iqvia/pdfs/institute-reports/digital-health-trends-2021/iqvia-institute-digital-health-trends-2021.pdf?&_=1652464150373
  30. 30. Statista. Number of mHealth apps available in the Google Play Store from 1st quarter 2015 to 2nd quarter of 2022 [Internet]. Statista. 2023 [cited 2022 Sep 15]. Available from: https://www.statista.com/statistics/779919/health-apps-available-google-play-worldwide/
  31. 31. Fedele DA, Cushing CC, Fritz A, Amaro CM, Ortega A. Mobile health interventions for improving health outcomes in youth: A meta-analysis. JAMA Pediatr. 2017 May 1;171(5):461–9. pmid:28319239
  32. 32. Camacho E, Appelboom G, Dumont E, Taylor B, Connolly E. The Ubiquitous Role of Smartphones in Mobile Health. Biometrics & Biostatistics International Journal. 2014;1(1).
  33. 33. Carmody JK, Denson LA, Hommel KA. Content and usability evaluation of medication adherence mobile applications for use in pediatrics. J Pediatr Psychol. 2019 Apr 1;44(3):333–42. pmid:30358863
  34. 34. Jupp JCY, Sultani H, Cooper CA, Peterson KA, Truong TH. Evaluation of mobile phone applications to support medication adherence and symptom management in oncology patients. Pediatr Blood Cancer. 2018 Nov;65(11):e27278. pmid:29943893
  35. 35. Vanderbilt University. Project REDCap [Internet]. REDCap: Research Electronic Data Capture. 2023 [cited 2022 Aug 8]. Available from: https://www.project-redcap.org/
  36. 36. Vaica. Medy RPM Proactive Remote Patient Management [Internet]. Vaica. 2023 [cited 2023 Feb 1]. Available from: https://www.vaica.com/medy-rpm/
  37. 37. AARDEX Group. MEMS ® Ecosystem [Internet]. AARDEX Group. 2023 [cited 2023 Aug 8]. Available from: https://www.aardexgroup.com/solutions/mems-adherence-hardware/
  38. 38. Blaschke TF, Osterberg L, Vrijens B, Urquhart J. Adherence to medications: insights arising from studies on the unreliable link between prescribed and actual drug dosing histories. Annu Rev Pharmacol Toxicol. 2012;52:275–301. pmid:21942628
  39. 39. van Heuckelum M, van den Ende CHM, Houterman AEJ, Heemskerk CPM, van Dulmen S, van den Bemt BJF. The effect of electronic monitoring feedback on medication adherence and clinical outcomes: A systematic review. PLoS One. 2017 Oct 9;12(10):e0185453. pmid:28991903
  40. 40. Shah N, Adusumalli S. Nudges and the meaningful adoption of digital health. Per Med. 2020 Nov;17(6):429–33. pmid:33026296
  41. 41. Asch DA, Muller RW, Volpp KG. Automated hovering in health care—watching over the 5000 hours. N Engl J Med. 2012 Jul 5;367(1):1–3. pmid:22716935
  42. 42. Modi AC, Pai AL, Hommel KA, Hood KK, Cortina S, Hilliard ME, et al. Pediatric self-management: a framework for research, practice, and policy. Pediatrics. 2012 Feb;129(2):e473–85. pmid:22218838
  43. 43. Skeens M, Sezgin E, Stevens J, Landier W, Pai A, Gerhardt C. An mHealth app to promote adherence to immunosuppressant medication and track symptoms in children after hematopoietic stem cell transplant: Protocol for a mixed methods usability study. JMIR Res Protoc. 2022 Jul 21;11(7):e39098. pmid:35862184
  44. 44. Doherty K, Balaskas A, Doherty G. The design of Ecological Momentary Assessment technologies. Interact Comput. 2020 May 17;32(3):257–78.
  45. 45. The Collaborative Institutional Training Initiative. Research, Ethics, and Compliance Training [Internet]. The Collaborative Institutional Training Initiative (CITI Program). 2023 [cited 2022 Aug 8]. Available from: https://about.citiprogram.org/
  46. 46. Brooke J. SUS -A quick and dirty usability scale [Internet]. 1995 [cited 2023 Apr 21]. Available from: http://www.tbistafftraining.info/smartphones/documents/b5_during_the_trial_usability_scale_v1_09aug11.pdf
  47. 47. Sauro J. Measuring Usability with the System Usability Scale (SUS) [Internet]. MeasuringU. 2011 [cited 2023 Apr 21]. Available from: https://measuringu.com/sus/
  48. 48. Gov U. System Usability Scale (SUS) [Internet]. usability.gov. 2023 [cited 2023 Apr 21]. Available from: https://www.usability.gov/how-to-and-tools/methods/system-usability-scale.html#:~:text=Based%20on%20research%2C%20a%20SUS,to%20produce%20a%20percentile%20ranking.
  49. 49. Lewis JR, Sauro J. The factor structure of the system usability scale. In: Human Centered Design. Berlin, Heidelberg: Springer Berlin Heidelberg; 2009. p. 94–103. (Lecture notes in computer science).
  50. 50. Lumivero. Lumivero [Internet]. NVivo: Unlock Insights with Qualitative Data Analysis Software. 2023 [cited 2023 Aug 8]. Available from: https://www.qsrinternational.com/nvivo-qualitative-data-analysis-software/home?creative=605555104699&keyword=nvivo&matchtype=e&network=g&device=c&gclid=CjwKCAjw6MKXBhA5EiwANWLODByZxOFy-dVTYzwIECVxrq4IQgX1ZFpKOiH2YiaBLBz1j8oT7u35jBoCtPsQAvD_BwE
  51. 51. Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol. 2006 Jan;3(2):77–101.
  52. 52. Maguire M, Delahunt B. Doing a thematic analysis: A practical, step-by-step guide for learning and teaching scholars. All Ireland Journal of Higher Education. 2017;9(3).
  53. 53. Sezgin E, Noritz G, Lin S, Huang Y. Feasibility of a Voice-Enabled Medical Diary App (SpeakHealth) for Caregivers of Children With Special Health Care Needs and Health Care Providers: Mixed Methods Study. JMIR Form Res. 2021 May 11;5(5):e25503. pmid:33865233
  54. 54. Miloh T, Barton A, Wheeler J, Pham Y, Hewitt W, Keegan T, et al. Immunosuppression in pediatric liver transplant recipients: Unique aspects. Liver Transpl. 2017 Feb;23(2):244–56. pmid:27874250
  55. 55. El-Rachidi S, LaRochelle JM, Morgan JA. Pharmacists and pediatric medication adherence: Bridging the gap. Hosp Pharm. 2017 Feb;52(2):124–31. pmid:28321139
  56. 56. Fitch T, Myers KC, Dewan M, Towe C, Dandoy C. Pulmonary complications after pediatric stem cell transplant. Front Oncol. 2021 Oct 13;11:755878. pmid:34722309
  57. 57. Ho M, Bryson C, Rumsfield J. Medication Adherence: It’s importance in cardiovascular outcomes. Circulation. 2009;119:3028–35. pmid:19528344
  58. 58. Khera N, Zeliadt SB, Lee SJ. Economics of hematopoietic cell transplantation. Blood. 2012 Aug 23;120(8):1545–51. pmid:22700725
  59. 59. Robiner WN. Enhancing adherence in clinical research. Contemp Clin Trials. 2005 Feb;26(1):59–77. pmid:15837453
  60. 60. Hampl SE, Borner KB, Dean KM, Papa AE, Cordts KP, Smith TR, et al. Patient attendance and outcomes in a structured weight management program. The Journal of pediatrics. 2016;176:30–5.
  61. 61. Lim CS, Janicke DM. Barriers related to delivering pediatric weight management interventions to children and families from rural communities. Child Health Care. 2013 Jul;42(3):214–30.
  62. 62. Pew Research Center. Mobile Fact Sheet [Internet]. Demographics of Mobile Device Ownership and Adoption in the United States. 2021 [cited 2023 Apr 20]. Available from: https://www.pewresearch.org/internet/fact-sheet/mobile/