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A multi-centre randomised control trial of directly observed therapy to promote medication adherence in paediatric heart transplant recipients

Published online by Cambridge University Press:  12 April 2024

Michael O. Killian*
Affiliation:
College of Social Work, Florida State University, Tallahassee, FL, USA College of Medicine, Florida State University, Tallahassee, FL, USA
Sonnie Mayewski
Affiliation:
College of Social Work, Florida State University, Tallahassee, FL, USA
Dipankar Gupta
Affiliation:
Pediatrics, Congenital Heart Center, University of Florida, Gainesville, FL, USA
*
Corresponding author: M. O. Killian; Email: mikekillianphd@gmail.com
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Abstract

Medication non-adherence remains a significant challenge for adolescent heart transplant recipients. Building on the success of a pilot intervention study, herein we describe the protocol for a follow-up randomised control trial using mobile video directly observed therapy, featuring several innovations, to promote medication adherence in a multi-centre sample of adolescent heart transplant patients.

Type
Brief Report
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press

Adolescent patients continue to experience challenges with medication adherence following heart transplantation Reference Oliva, Singh, Gauvreau, Vanderpluym, Bastardi and Almond1 leading to greater rates of late acute rejection and hospitalisations. Reference Oliva, Singh, Gauvreau, Vanderpluym, Bastardi and Almond1,Reference Shemesh, Bucuvalas and Anand2 While higher risk of non-adherence is well documented in adolescents, efforts to improve medication adherence have had limited success. Reference Pai and McGrady3 A recent pilot study of mobile directly observed therapy intervention with a sample of adolescent heart transplant recipients Reference Killian, Clifford and Gupta4 generated initial evidence of feasibility, patient acceptability, and demonstrated improvement in immunosuppressant medication adherence and post-transplant outcomes. Reference Killian, Clifford, Lustria, Skivington and Gupta5,Reference Killian, Schelbe, Lustria, Watkivs and Gupta6 This subsequent brief report focusses on the protocol of our follow-up and scaled randomised control trial extending this area of research to multiple transplant centres nationally.

Mobile video directly observed therapy

A mobile video directly observed therapy mHealth application developed by Scene Health Inc. offers patients direct tracking of dose-by-dose medication-taking behaviours and interpersonal communication and support from their transplant team. Reference Killian, Clifford and Gupta4,Reference Killian, Clifford, Lustria, Skivington and Gupta5 Within the application, patients record and submit videos of themselves taking medication. Nurses review these videos asynchronously as evidence medication was correctly taken. Patients can report any symptoms of illness or medication side effects, and reviewing nurses may escalate administration problems or patient health and safety concerns to the patient’s transplant care provider.

This mHealth application provides instant feedback and dose tracking for the patient while providing the transplant team directly observed behaviour. Most importantly, the application is designed to foster communication and rapport-building with the patient. Interpersonal support and engagement were reported as valued by patients and used by nurses to offer support, encouragement, build rapport, answer medically related questions, offer patient education, and offer functional support about the therapy. Reference Killian, Schelbe, Lustria, Watkivs and Gupta6 Importantly, this significant rapport and interpersonal support was developed with the reviewing nurses who were previously unknown to the patients. Reference Killian, Clifford, Lustria, Skivington and Gupta5,Reference Killian, Schelbe, Lustria, Watkivs and Gupta6

Recent advancements in the mHealth application build on trends and innovations within mHealth approaches promoting adherence. A newly implemented “video-back” feature gives reviewing nurses the additional option to send patients live or pre-recorded videos, a further avenue for developing rapport and interpersonal support. Pre-recorded videos may be from the patient’s own transplant team members or other supportive individuals (e.g., patient’s family, individuals identified as sources of support by the patient). Another key innovation is the centralised review and monitoring of all patients in the programme through one transplant centre. A singular nurse or small team may provide remote, asynchronous review and patient support for a geographically dispersed number of patients. The integration of a caregiver reminder option is another new feature designed to support behavioural change and recognises the process of gradual transition of adherence responsibility from caregiver to the patient. The mHealth application and new features are designed to address multiple, modifiable risk factors for non-adherence through actively encouraging development of organisational skills, planning, and conscientiousness around the behaviour.

Current study and procedures

The current study builds upon the prior pilot study Reference Killian, Clifford and Gupta4,Reference Killian, Clifford, Lustria, Skivington and Gupta5 and uses similar methods to examine a 12-week asynchronous, directly observed therapy intervention with adolescent heart transplant recipients from four Southeast US transplant centres during a 2-year trial period. The current randomised control trial will involve 100 patients who are at least 6 months post-transplant and non-adherent (medication level variability index2 > 2.0) and otherwise medically stable. Potential participants will be screened and recruited via phone calls and outpatient clinic appointments. Consenting patients aged 10–21 years will receive pre-intervention questionnaires and subsequently randomised into either the mHealth intervention or enhanced goal-setting group intervention using a randomisation procedure stratified by transplant centre (1:1 assignment ratio).

Patients receiving directly observed therapy via submission of mobile videos on a mHealth application will be given orientation materials and assistance with download and setup. Each patient’s care team will enter all medications into the provider-facing portion of the Scene platform. Following setup, the 12-week directly observed therapy intervention will begin and medication-taking monitored by centralised review within the application. The enhanced goal-setting condition will be a standard-of-care intervention including routine care and monitoring. Patients in this condition will receive standard patient education, materials on the importance of medication adherence, and information about standard medication reminder applications available for smart phones or similar devices. To avoid participant compensation as a motivator for adherence, all participants will receive the same compensation regardless of intervention condition (gift cards valued at 84USD, equal to 1USD per day of participation). Also, all patients will be provided with a phone and data plan to avoid selective sampling. A flow chart detailing study procedures and timeline is included in Figure 1. The study is registered with ClinicalTrials.gov.

Figure 1. Participant flow diagram.

Measurement

Patient demographic and family characteristics will be collected from medical records and surveys (Table 1). Primary outcomes include number of successfully submitted videos reviewed as evidence of medication taking-behaviour and medication level variability index2 scores across the pre- and post-intervention periods. Medication adherence during the directly observed therapy intervention will be considered as the percentage of submitted and accepted patient videos demonstrating appropriate medication-taking behaviour. Long-term pre- and post-intervention adherence will be measured by medication level variability index scores calculated and from at least three patient tacrolimus (i.e., Prograf or FK506) or sirolimus blood levels from each 6 months before, during, and 6 months after participation. These scores are patient-level standard deviation values across medication blood levels with higher scores indicating greater variation in blood levels and less consistency in medication-taking. Pre- and post-intervention episodes of organ rejection and hospitalisation will also be collected as indicators of post-transplant health outcomes.

Table 1. Study measures

Patients and parents will receive invitations to complete online surveys for secondary outcomes measures before beginning medication level variability index and after completion of the 12-week programme. Patient self-reported and parental proxy-reported outcome measures completed pre- and post-intervention include measures of health-related quality of life, Reference Weissberg-Benchell, Zielinski and Rodgers7 barriers to medication adherence, Reference Simons and Blount8 engagement and relationship with their transplant care team, Reference Hibbard, Mahoney, Stockard and Tusler9 and perceptions of quality of healthcare received. Reference Rick, Rowe and Hann10 Patient engagement with the application will be measured using system usage data (e.g., amount, frequency, duration, and depth of use) and self-reports of user satisfaction.

Assuming 100 patients complete the 12-week intervention, the study is sufficiently powered (.80) to detect a 26.9% between-groups difference in post-intervention medication level variability index values as statistically significant. Evenly distributed between groups, and a rejection level of α = 0.05, the study will be able to detect a small effect size of Cohen’s f = 0.245 as statistically significant (power = .80) for secondary outcomes. We will use an intent-to-treat analytic approach to protect against bias introduced by participant attrition when estimating the effect of treatment group. We will examine pre-intervention differences between the directly observed therapy and control groups to determine the success of randomisation to generate comparable groups on observed characteristics. If necessary, sensitivity analyses will be conducted to determine the impact of baseline group imbalance by treating these factors as covariates in the modelling to adjust for their influence on post-intervention outcomes.

Discussion and conclusion

Promising results from the pilot study Reference Killian, Clifford and Gupta4Reference Killian, Schelbe, Lustria, Watkivs and Gupta6 led to this more robust investigation of mobile directly observed therapy among adolescent heart transplant recipients and translation of these efforts into clinical care settings. The current study builds on the prior work and furthers mHealth intervention efforts by integrating technological advances within the investigation. Improved video feedback capabilities and centralised review of patients will aid in patient engagement, efforts to improve this important health behaviour, and translation of this intervention into care of high-risk patients.

Financial support

Research reported in this publication was supported by the National Institutes of Health and National Heart, Lung, and Blood Institute (NHLBI) award number 1R44HL167591.

Competing interests

Dr Killian and Dr Gupta serve on the Scientific Advisory Board for Scene Health Inc.

Ethical standard

The authors assert that all procedures contributing to this work comply with the ethical standards of the relevant national guidelines on human experimentation and with the Helsinki Declaration of 1975, as revised in 2008, and has been approved by the University of Florida Health Sciences Institutional Review Board with additional approval from the Florida State University Human Subjects Committee.

References

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Figure 0

Figure 1. Participant flow diagram.

Figure 1

Table 1. Study measures