Weekend versus weekday adherence: Do we, or do we not, thank God it's Friday?

The improving Medication Adherence in Adolescents and young adults following Liver Transplantation (iMALT) multisite trial: Design and trial implementation considerations

BACKGROUND/AIMS

Medication non-adherence is a leading cause of transplant rejection, organ loss, and death; yet no rigorous controlled study to date has shown compelling clinical benefits from an adherence-improving intervention. Non-adherent patients are less likely to participate in trials, and therefore, most studies enroll a majority of adherent patients who do not stand to benefit from the intervention, as they do not have the condition (non-adherence) under investigation. The improving Medication Adherence in adolescent Liver Transplant recipients trial specifically targets non-adherent patients to investigate whether a remote intervention to improve adherence results in reduced incidence of biopsy-confirmed rejection.

METHODS

Improving Medication Adherence in adolescent Liver Transplant is a randomized single-blind controlled multisite, multinational National Institutes of Health-funded trial involving 13 pediatric transplant centers in the United States and Canada. An innovative, objective adherence biomarker-the Medication Level Variability Index, which is the standard deviation of a series of medication blood levels for each patient, is used to identify non-adherent patients at risk for rejection. The index is computed using electronic health record information for all potentially eligible patients based on repeated reviews of the entire clinic's roster. Identified patients, after consent, are randomized to intervention versus control (treatment as usual) arms. The remote intervention is delivered for 2 years by trained interventionists who reside in various locations in the United States. The primary outcome is the incidence of biopsy-confirmed acute cellular rejection, as confirmed by a majority vote of three pathologists who are masked to the study allocation and clinical information.

DISCUSSION

Improving Medication Adherence in adolescent Liver Transplant includes several innovative design elements. The use of a validated, objective adherence index to survey a large cohort of transplant recipients allows the teams to avoid bias inherent in both convenience sampling and referral-based recruitment and enroll only patients whose computed index indicates substantially increased risk of rejection. The remote intervention paradigm helps to engage patients who are by definition hard to engage. The use of an objective, masked medical (rather than behavioral) outcome measure reduces the likelihood of biases related to clinical information and ensures broad acceptance by the field. Finally, monitoring for potential adverse events related to increased medication exposure due to the adherence intervention acknowledges that a successful intervention (increasing adherence) could have detrimental side effects via increased exposure to and potential toxicity of the medication. Such monitoring is almost never attempted in clinical trials evaluating adherence interventions.

Can eHealth applications improve renal transplant outcomes for adolescents and young adults? A systematic review

BACKGROUND AND OBJECTIVES

Adherence to medical treatment following a kidney transplant is particularly challenging during adolescence and young adulthood. There is increasing evidence of the benefits of the use of computer and mobile technology (labelled as eHealth hereafter) including serious gaming and gamification in many clinical areas. We aimed to conduct a systematic review of such interventions designed to improve self-management skills, treatment adherence and clinical outcomes in young kidney transplant recipients aged 16 to 30 years.

METHOD

The Cochrane Library, MEDLINE, EMBASE, PsychINFO, SCOPUS and CINAHL databases were searched for studies published between 01 January 1990 and 20 October 2020. Articles were short-listed by two independent reviewers based on pre-defined inclusion/exclusion criteria. Reference lists were screened and authors of published conference abstracts contacted. Two reviewers independently appraised selected articles, systematically extracted data and assessed the quality of individual studies (CASP and SORT). Thematic analysis was used for evidence synthesis; quantitative meta-analysis was not possible.

RESULTS

A total of 1098 unique records were identified. Short-listing identified four eligible studies, all randomized controlled trials (n = 266 participants). Trials mainly focused on mHealth applications or electronic pill dispensers (mostly for patients >18 years old). Most studies reported on clinical outcome measures. All showed improved adherence but there were no differences in the number of rejections. Study quality was low for all four studies.

CONCLUSIONS

The findings of this review suggest that eHealth interventions can improve treatment adherence and clinical outcomes for young kidney transplant patients. More robust and high-quality studies are now needed to validate these findings. Future studies should also extend beyond short-term outcomes, and consider cost of implementation. The review was registered with PROSPERO (CRD42017062469).

Detecting, preventing, and treating non-adherence to immunosuppression after kidney transplantation

Medication non-adherence (MNA) is a major issue in kidney transplantation and it is associated with increased risk of rejection, allograft loss, patients’ death and higher healthcare costs. Despite its crucial importance, it is still unclear what are the best strategies to diagnose, prevent and treat MNA. MNA can be intentional (deliberate refusal to take the medication as prescribed) or unintentional (non-deliberate missing the prescribed medication). Its diagnosis may rely on direct methods, aiming at measuring drug ingestions, or indirect methods that analyse the habits of patients to adhere to correct drug dose (taking adherence) and interval (time adherence). Identifying individual risk factors for MNA may provide the basis for a personalized approach to the treatment of MNA. Randomized control trials performed so far have tested a combination of strategies, such as enhancing medication adherence through the commitment of healthcare personnel involved in drug distribution, the use of electronic reminders, therapy simplification or various multidisciplinary approaches to maximize the correction of individual risk factors. Although most of these approaches reduced MNA in the short-term, the long-term effects on MNA and, more importantly, on clinical outcomes remain unclear. In this review, we provide a critical appraisal of traditional and newer methods for detecting, preventing and treating non-adherence to immunosuppression after kidney transplantation from the perspective of the practising physician.

eHealth Interventions for Solid Organ Transplant Recipients: A Systematic Review and Meta-analysis of Randomized Controlled Trials

BACKGROUND

Lack of support for self-management may contribute to adverse health outcomes. eHealth has the potential to support self-management, but evidence in solid organ transplantation remains unclear. This review aims to evaluate the benefits and harms of eHealth interventions to support self-management in solid organ transplant recipients.

METHODS

We searched Cochrane Central Register of Controlled Trials, MEDLINE, and Embase databases for randomized trials of eHealth interventions in solid organ transplant recipients. We calculated the risk ratios or standardized mean difference of outcomes, and summary estimates were determined using random-effects models. The Cochrane risk of bias tool and Grading of Recommendations, Assessment, Development, and Evaluations were used to assess trial quality.

RESULTS

Twenty-one trials from 6 countries involving 2114 participants were included. Compared with standard care, eHealth interventions improved medication adherence (risk ratio, 1.34; CI, 1.12-2.56; I = 75%) and self-monitoring behavior (risk ratio, 2.58; CI, 1.56-4.27; I = 0%) up to 12 mo posttransplant. The treatment effects were largely consistent across different subgroups except for intervention functionality and mode of delivery. The effects on other outcomes were uncertain. Nine trials reported harms. The overall risk of bias was considered high or unclear, and the quality of evidence was low to very low for all outcomes.

CONCLUSIONS

eHealth interventions may improve medication adherence and self-monitoring behavior in the short term, but high-quality intervention studies are needed to determine whether eHealth will improve long-term patient-relevant outcomes.