Medication adherence patterns in adult renal transplant recipients

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).

Women's Reports of Barriers to and Facilitators of Oral Medication Adherence During Ovarian Stimulation: A Mixed Methods Pilot Study

Background:

Adherence to lifestyle modification recommendations remains problematic for women undergoing fertility treatment, raising concerns about the extent to which women adhere to prescribed medication regimens. Limited data have shown suboptimal oral medication adherence rates of 19% to 74%. The objective of this study was to explore what women perceive as barriers to and facilitators of oral medication adherence during fertility treatment cycles.

Methods:

An exploratory mixed methods pilot study was conducted among a sample of 30 women who were actively taking one to two cycles of letrozole or clomiphene citrate for ovarian stimulation in conjunction with intrauterine insemination cycles. Medication adherence barriers were measured using a 20-item survey. Medication adherence facilitators and personal experiences with fertility treatment were assessed with structured interviews. Medication adherence was assessed with electronic event monitoring.

Results:

The overall medication adherence median was 0.97 with a range of 0.75 to 1.00, and nine women (50%) demonstrated perfect adherence. The most commonly reported barriers were recently feeling sad, down, or blue (53%), and taking medication more than once per day (40%). Women with higher barrier scores had significantly lower medication adherence scores (p=0.02) compared to women with lower total barrier scores. Facilitators included using physical aides as reminders (60%) and establishing a daily routine (50%). No significant correlation was found between medication adherence scores and facilitators.

Conclusion:

The dynamic interplay between perceived barriers and facilitators and women’s medication-taking patterns could influence whether or not medication regimens are followed correctly.

Program to Avoid Cerebrovascular Events through Systematic Electronic Tracking and Tailoring of an Eminent Risk factor: Protocol of a RCT

BACKGROUND

Geographical and racial disparities in stroke outcomes are especially prominent in the Southeastern United States, which represents a region more heavily burdened with stroke compared to the rest of the country. While stroke is eminently preventable, particularly via blood pressure control, fewer than one third of patients with a stroke have their blood pressure controlled ≥ 75% of the time, and low consistency of blood pressure control is linked to higher stroke risk.

OBJECTIVE

To demonstrate that a mHealth technology-centered, integrated approach can effectively improve sustained blood pressure control among stroke patients (half of whom will be Black).

DESIGN

The Program to Avoid Cerebrovascular Events through Systematic Electronic Tracking and Tailoring of an Eminent Risk-factor is a prospective randomized controlled trial, which will include a cohort of 200 patients with a stroke, encountered at two major safety net health care systems in South Carolina. The intervention comprises utilization of a Vaica electronic pill tray & blue-toothed UA-767Plus BT blood pressure device and a dedicated app installed on patients' smart phones for automatic relay of data to a central server. Providers will follow care protocols based on expert consensus practice guidelines to address optimal blood pressure management.

STUDY OUTCOMES

Primary outcome is systolic blood pressure at 12-months, which is the major modifiable step to stroke event rate reduction. Secondary endpoints include control of other stroke risk factors, medication adherence, functional status, and quality of life.

DISCUSSION

We anticipate that a successful intervention will serve as a scalable model of effective chronic blood pressure management after stroke, to bridge racial and geographic disparities in stroke outcomes in the United States.

TRIAL REGISTRATION

ClinicalTrials.gov - NCT03401489.

Exploratory Analysis of the Impact of an mHealth Medication Adherence Intervention on Tacrolimus Trough Concentration Variability: Post Hoc Results of a Randomized Controlled Trial

BACKGROUND

Medication nonadherence is a leading cause of late allograft loss in kidney transplantation (KT). Tacrolimus trough coefficient of variation (CV), measured using the coefficient of variation, is strongly correlated with acute rejection, graft function, and graft loss.

OBJECTIVE

The objective of this study was to determine if this mobile health (mHealth) intervention aimed at improving medication adherence in a nonadherent KT population would affect high intrapatient tacrolimus variability.

METHODS

A 6-month, prospective, parallel-arm, randomized controlled clinical trial was conducted to determine the effects of an mHealth intervention on tacrolimus CV. Intervention arm participants utilized an electronic medication tray and an mHealth app to monitor home-based adherence. Tailored motivational reinforcement messages were delivered to promote competence for adherence. Tacrolimus CV was measured using a 12-month rolling average, assessed at monthly intervals (6-month intervention period and 6 months after completion of the study); 80 were included, 40 in each arm.

RESULTS

At baseline, tacrolimus CV was similar between arms (37% ± 15% intervention, 37% ± 13% control, P = 0.894). Patients randomized to the intervention had a significant reduction in mean 12-month tacrolimus CVs (P = 0.046) and a significant improvement in the proportion achieving low tacrolimus CV (tacrolimus CV < 40%; P = 0.001), as compared with the control arm.

CONCLUSION AND RELEVANCE

High tacrolimus CV is a risk factor for acute rejection and graft loss; these results offer the potential promise of improved medication adherence and clinical outcomes through the use of innovative technology.

Improving medication adherence and outcomes in adult kidney transplant patients using a personal systems approach: SystemCHANGE™ results of the MAGIC randomized clinical trial

This study determined if a SystemCHANGE™ intervention was more efficacious than attention control in increasing immunosuppressive medication adherence and improving outcomes in adult kidney transplant recipients during a 6-month intervention phase and subsequent 6-month (no intervention) maintenance phase. The SystemCHANGE™ intervention taught patients to use person-level quality improvement strategies to link adherence to established daily routines, environmental cues, and supportive people. Eighty-nine patients (average age 51.8 years, 58% male, 61% African American) completed the 6-month intervention phase. Using an intent-to-treat analysis, at 6 months, medication adherence for SystemCHANGE™ (median 0.91, IQR 0.76-0.96) and attention control (median 0.67, IQR 0.52-0.72) patients differed markedly (difference in medians 0.24, 95% CI 0.13-0.30, P < .001). At the conclusion of the subsequent 6-month maintenance phase, the gap between medication adherence for SystemCHANGE™ (median 0.77, IQR 0.56-0.94) and attention control (median 0.60, IQR 0.44-0.73) patients remained large (difference in medians 0.17, 95% CI 0.06-0.33, P = .004). SystemCHANGE™ patients evidenced lower mean creatinine and BUN at 12 months and more infections at 6 and 12 months. This first fully powered RCT testing SystemCHANGE™ to improve and maintain medication adherence in kidney transplant recipients demonstrated large, clinically meaningful improvements in medication adherence. Clinical Trial Registration: NCT02416479.

The Feasibility of a Using a Smart Button Mobile Health System to Self-Track Medication Adherence and Deliver Tailored Short Message Service Text Message Feedback

BACKGROUND

As many as 50% of people experience medication nonadherence, yet studies for detecting nonadherence and delivering real-time interventions to improve adherence are lacking. Mobile health (mHealth) technologies show promise to track and support medication adherence.

OBJECTIVE

The study aimed to evaluate the feasibility and acceptability of using an mHealth system for medication adherence tracking and intervention delivery. The mHealth system comprises a smart button device to self-track medication taking, a companion smartphone app, a computer algorithm used to determine adherence and then deliver a standard or tailored SMS (short message service) text message on the basis of timing of medication taking. Standard SMS text messages indicated that the smartphone app registered the button press, whereas tailored SMS text messages encouraged habit formation and systems thinking on the basis of the timing the medications were taken.

METHODS

A convenience sample of 5 adults with chronic kidney disease (CKD), who were prescribed antihypertensive medication, participated in a 52-day longitudinal study. The study was conducted in 3 phases, with a standard SMS text message sent in phases 1 (study days 1-14) and 3 (study days 46-52) and tailored SMS text messages sent during phase 2 (study days 15-45) in response to participant medication self-tracking. Medication adherence was measured using: (1) the smart button and (2) electronic medication monitoring caps. Concordance between these 2 methods was evaluated using percentage of measurements made on the same day and occurring within ±5 min of one another. Acceptability was evaluated using qualitative feedback from participants.

RESULTS

A total of 5 patients with CKD, stages 1-4, were enrolled in the study, with the majority being men (60%), white (80%), and Hispanic/Latino (40%) of middle age (52.6 years, SD 22.49; range 20-70). The mHealth system was successfully initiated in the clinic setting for all enrolled participants. Of the expected 260 data points, 36.5% (n=95) were recorded with the smart button and 76.2% (n=198) with electronic monitoring. Concordant events (n=94), in which events were recorded with both the smart button and electronic monitoring, occurred 47% of the time and 58% of these events occurred within ±5 min of one another. Participant comments suggested SMS text messages were encouraging.

CONCLUSIONS

It was feasible to recruit participants in the clinic setting for an mHealth study, and our system was successfully initiated for all enrolled participants. The smart button is an innovative way to self-report adherence data, including date and timing of medication taking, which were not previously available from measures that rely on recall of adherence. Although the selected smart button had poor concordance with electronic monitoring caps, participants were willing to use it to self-track medication adherence, and they found the mHealth system acceptable to use in most cases.

"Smartphone Medication Adherence Saves Kidneys" for Kidney Transplantation Recipients: Protocol for a Randomized Controlled Trial

Background

Kidney transplant recipients’ poor medication adherence and poor control of comorbidities, particularly hypertension, are risk factors for graft rejection, graft loss, and death. Few randomized controlled trials (RCTs) have been successful in improving sustained medication adherence and blood pressure control among kidney transplantation recipients. We provide rationale for an RCT evaluating a mobile health medical self-management system for kidney transplantation recipients called Smartphone Medication Adherence Saves Kidneys (SMASK).

Objective

Our objective is to determine whether SMASK is efficacious in improving medication adherence and sustaining blood pressure control among kidney transplantation recipients with uncontrolled hypertension and poor medication adherence compared to an enhanced standard care.

Methods

This two-arm, 6-month, phase II single-site efficacy RCT will involve 80 kidney transplantation recipients. Participants will be randomly assigned to the SMASK intervention arm or control arm. SMASK includes multilevel components: automated reminders from an electronic medication tray; tailored text messages and motivational feedback, guided by the self-determination theory; and automated summary reports for providers. Evaluations will be conducted preintervention, at 3 and 6 months, and posttrial at 12 months. Specific aims are to test the hypotheses that compared to standard care, the SMASK cohort will demonstrate significantly improved changes at 3, 6, and 12 months in the primary outcome variables medication adherence (proportion with electronic monitor-derived score >0.90) and blood pressure control (proportion meeting and sustaining adherence to the Kidney Disease Improving Global Outcomes [KDIGO] guidelines for blood pressure control); the secondary outcome variables provider adherence to KDIGO guidelines, measured by timing of medication changes and changes in self-determination theory constructs; and the exploratory outcome variables estimated glomerular filtration rate, variability in calcineurin inhibitor trough levels, and proportion of patients meeting and sustaining the 24-hour ambulatory blood pressure below 130/80 mm Hg. After the 6-month evaluation, interviews with a random sample of SMASK subjects (n=20) and health care providers (n=3-5) will assess user reactions including acceptability, usability, and aids/barriers to sustainability. Data from the RCT and interviews will be triangulated to further refine and optimize SMASK and prepare for a multisite effectiveness RCT.

Results

The SMASK project received funding from National Institute of Diabetes and Digestive and Kidney Diseases in June 2016, obtained institutional review board approval in April 2016, and began data collection in July 2016. As of July 2018, we completed enrollment with a total of 80 participants.

Conclusions

This study will provide data regarding the efficacy of SMASK to improve medication adherence and blood pressure control in a cohort of hypertensive kidney transplant recipients. An efficacious SMASK intervention will pave the way for a larger, multicenter, effectiveness RCT powered sufficiently to evaluate clinical events in a real-world setting and with the potential to demonstrate improved outcomes at lower cost than standard care.

International Registered Report Identifier (IRRID)

DERR1-10.2196/13351

The role of mHealth for improving medication adherence in patients with cardiovascular disease: a systematic review

Cardiovascular disease is a leading cause of morbidity and mortality worldwide, and a key barrier to improved outcomes is medication non-adherence. The aim of this study is to review the role of mobile health (mHealth) tools for improving medication adherence in patients with cardiovascular disease. We performed a systematic search for randomized controlled trials that primarily investigated mHealth tools for improving adherence to cardiovascular disease medications in patients with hypertension, coronary artery disease, heart failure, peripheral arterial disease, and stroke. We extracted and reviewed data on the types of mHealth tools used, preferences of patients and healthcare providers, the effect of the mHealth interventions on medication adherence, and the limitations of trials. We identified 10 completed trials matching our selection criteria, mostly with <100 participants, and ranging in duration from 1 to 18 months. mHealth tools included text messages, Bluetooth-enabled electronic pill boxes, online messaging platforms, and interactive voice calls. Patients and healthcare providers generally preferred mHealth to other interventions. All 10 studies reported that mHealth interventions improved medication adherence, though the magnitude of benefit was not consistently large and in one study was not greater than a telehealth comparator. Limitations of trials included small sample sizes, short duration of follow-up, self-reported outcomes, and insufficient assessment of unintended harms and financial implications. Current evidence suggests that mHealth tools can improve medication adherence in patients with cardiovascular diseases. However, high-quality clinical trials of sufficient size and duration are needed to move the field forward and justify use in routine care.

A Study on Adherence to Follow-up, Quality of Life, and Associated Factors Among Renal Transplant Recipients in China

BACKGROUND

Adherence to follow-up is vital for the medical surveillance of the postoperative blood concentration, but relatively little research has examined it, and there is less study on relationships between adherence to follow-up and quality of life (QoL). We investigated the status of adherence to follow-up and QoL and associated factors among kidney transplantation recipients in China.

METHODS

A cross-sectional study with the use of a Kidney Transplantation Recipient's Adherence to Follow-Up Questionnaire and a Quality of Life of Kidney Transplantation Recipients Questionnaire was conducted among 250 kidney transplantation recipients in Changsha, China, from January to March in 2015.

RESULTS

The mean score for adherence to follow-up was 54.71 ± 6.46. Time after transplantation was the only factor affecting adherence to follow-up scores (β = -0.210; P < .05). The mean total score for QoL was 140.39 ± 13.56; physical functioning, 23.72 ± 3.33; psychologic functioning, 24.46 ± 4.23; social functioning, 44.43 ± 6.80; treatment, 24.81 ± 2.97; and subjective satisfaction, 21.28 ± 3.15. Multiple linear regression analysis showed that adherence to follow-up, economic level, job status, donor source, and original disease affected with QoL.

CONCLUSIONS

Adherence to follow-up decreases with time after transplantation, and better compliance is associated with better QoL in all areas. Improvements in adherence to follow-up, income and reimbursement, psychologic guidance, and social support may increase QoL of kidney transplantat recipients.

Using Technology to Improve Adherence to HIV Medications in Transitional Age Youth: Research Reviewed, Methods Tried, Lessons Learned

In transitional age youth living with HIV or AIDS, non-adherence (<80%) to anti-retroviral medication is associated with viral resistance, disease progression, and an increased risk of death. This feasibility study investigated the Maya MedMinder electronic pillbox and cell phone texting with personalized motivational interviewing strategies to improve medication adherence in non-adherent youth. Twenty patients out of 30 identified as non-adherent by the Pediatric HIV team at the Medical University of South Carolina were approached, and 15 were recruited (Ages 12 to 20; 13.3% male, 86.7% female; 100% African-American). Following baseline MedMinder monitoring, subjects were randomized to intervention groups with reminder signals on or off. The time medications were taken was collected by the MedMinder, resulting in adherence scores. All were interviewed for readiness to change utilizing the Motivational Interviewing (MI) Stages of Change scores. Viral load and CD4 labs were scheduled every 6 weeks. Despite monetary incentives and personalized support, recruitment and adherence to the protocol was a challenge. Only 6/15 subjects completed the entire study scheduled for 6-months .Stages of change scores revealed that those that transitioned to making changes had higher CD4 percentages midway through the study. Challenges included missed appointments and labs despite efforts by text and phone to schedule convenient appointment times with participants. Device challenges included the large size of the MedMinder and faulty electronic signaling, especially from rural areas. The methodology was feasible with these patients. This small feasibility study highlights that technological tools to promote adherence and motivational enhancement strategies in teens and young adults who are non-adherent to HIV medication regimens can enhance biomarker outcomes associated with medication adherence.

Medication Adherence After Renal Transplantation-a Review of the Literature

BACKGROUND

Whether or not patients follow the advice given by their healthcare professional is commonly referred to as adherence. In the case of kidney transplantation, transplant recipients need to take immunosuppressive drugs on a regular basis to prevent rejection of their transplant. However, medication adherence can be problematic for many patients.

OBJECTIVES

This critical appraisal of evidence aimed to gain insights into factors contributing to adherence and non-adherence in recipients of kidney transplants, and to explore patients' perceptions regarding adherence to immunosuppression.

METHODS

A comprehensive literature search was performed using Medline, PsycInfo, the Joanna Briggs Institute, CINAHL and the Cochrane Library. Included were primary research studies or reviews of primary research, independent of their research paradigms, on adult kidney or kidney/pancreas transplant recipients published in English or German. Children or adolescents were not considered. No time-frame was applied RESULTS: Fifty-two papers were included in the review. All extracted findings of included papers were organised according to the five factors influencing medication-taking behaviour as defined by the World Health Organisation: social and economic factors; therapy-related factors; patient-related factors; condition-related factors; healthcare team and system-related factors.

CONCLUSION

Reasons for non-adherence after kidney transplantations are diverse. Attention is attracted by the fact that potentially modifiable factors such as social support, experiences on dialysis, side effects, features of the treatment regimen, intentions and beliefs, forgetfulness and mental health issues play a greater role than other factors in the development of medication non-adherence. Factors not related to patient characteristics seem to be under researched.

MAGIC Study: Aims, Design and Methods using SystemCHANGE™ to Improve Immunosuppressive Medication Adherence in Adult Kidney Transplant Recipients

BACKGROUND

Among adult kidney transplant recipients, non-adherence to immunosuppressive medications is the leading predictor of poor outcomes, including rejection, kidney loss, and death. An alarming one-third of kidney transplant patients experience medication non-adherence even though the problem is preventable. Existing adherence interventions have proven marginally effective for those with acute and chronic illnesses and ineffective for adult kidney transplant recipients. Our purpose is to describe the design and methods of the MAGIC (Medication Adherence Given Individual SystemCHANGE™) trial

METHODS/DESIGN

We report the design of a randomized controlled trial with an attention-control group to test an innovative 6-month SystemCHANGE™ intervention designed to enhance immunosuppressive medication adherence in adult non-adherent kidney transplant recipients from two transplant centers. Grounded in the Socio-Ecological Model, SystemCHANGE™ seeks to systematically improve medication adherence behaviors by identifying and shaping routines, involving supportive others in routines, and using medication taking feedback through small patient-led experiments to change and maintain behavior. After a 3-month screening phase of 190 eligible adult kidney transplant recipients, those who are <85 % adherent as measured by electronic monitoring, will be randomized into a 6-month SystemCHANGE™ intervention or attention-control phase, followed by a 6-month maintenance phase without intervention or attention. Differences in adherence between the two groups will be assessed at baseline, 6 months (intervention phase) and 12 months (maintenance phase). Adherence mediators (social support, systems-thinking) and moderators (ethnicity, perceived health) are examined. Patient outcomes (creatinine/blood urea nitrogen, infection, acute/chronic rejection, graft loss, death) and cost effectiveness are to be examined.

DISCUSSION

Based on the large effect size of 1.4 found in our pilot study, intervention shows great promise for increasing adherence. Grounded in the socio-ecological model, SystemCHANGE™ seeks to systematically improve medication adherence behaviors by identifying and shaping routines, involving supportive others in routines, and using medication taking feedback through small patient-lead experiments to change and maintain behavior. Medication adherence will be measured by electronic monitoring. Medication adherence persistence will be examined by evaluating differences between the two groups at the end of the 6-and 12- month phases. Mediators and moderators of medication adherence will be examined. Patient outcomes will be compared and a cost-effectiveness analysis will be conducted.

TRIAL REGISTRATION

ClinicalTrials.gov Registry: NCT02416479 Registered April 3, 2015.

Psychosocial Predictors of Mortality Following Lung Transplantation

Lung transplantation has become an increasingly common treatment for patients with end-stage lung disease. Few studies have examined psychosocial risk factors for mortality in transplant recipients, despite evidence suggesting that elevated levels of negative affect are associated with greater mortality following major cardiac surgery. We therefore examined the relationship between negative affect early after lung transplantation and long-term survival in a sample of 132 lung transplant recipients (28 cystic fibrosis, 64 chronic obstructive pulmonary disease, 26 idiopathic pulmonary fibrosis, 14 other) followed for up to 13.5 years (median 7.4 years) following transplantation. Patients underwent both medical and psychosocial assessments 6 months following transplantation, which included the Beck Depression Inventory-II (BDI-II), Spielberger Anxiety Inventory, and General Health Questionnaire (GHQ). Over the course of follow-up, 80 (61%) participants died. Controlling for demographic factors, native lung disease, disease severity, family income, education level, social support, and frequency of posttransplant rejection, elevated symptoms of depression (BDI-II: HR = 1.31, p = 0.011) and distress (GHQ: HR = 1.28, p = 0.003) were associated with increased mortality. Higher levels of depression and general distress, but not anxiety, measured 6 months following lung transplantation are associated with increased mortality, independent of background characteristics and medical predictors.

Adherence to Immunosuppressive Medication in Renal Transplant Recipients From Follow-up Outpatient in China: Association of 2 Different Measurement Methods

PURPOSE

Our aim was to investigate the association between self-report measure and serum concentration fluctuation of immunosuppressive medication (IM) in renal transplant recipients in China and examine the relationship between post-transplantation time and IM adherence.

METHODS

Renal transplant recipients at least 3 months post transplantation were recruited from a follow-up outpatient clinic. Both self-reported Morisky Medication Adherence Scale and serum concentration of IM (cyclosporine trough level and tacrolimus trough level) were used to measure drug adherence.

FINDINGS

Two hundred and nine patients were recruited in the study. The majority of the patients received grafts from deceased donors (70.3%), were male (63.2%), and were married (83.3%). The nonadherence to IM was 31.7%, as measured by the Morisky Medication Adherence Scale. A statistically significant association between self-reported adherence and serum concentration fluctuation of tacrolimus trough level was identified (P < 0.001), but not for cyclosporine (P = 0.997). Serum concentration fluctuation of tacrolimus trough levels and self-report adherence of IM were associated with transplantation time (P < 0.001 and P = 0.003, respectively).

IMPLICATIONS

The Morisky Medication Adherence Scale appears valid in measuring drug adherence when compared with serum concentration fluctuation. Both self-report questionnaire and serum concentration fluctuation of tacrolimus changed with different post-transplantation time. These 2 measurements could be integrated into routine clinical practice for renal transplant recipients.

Time-in-a-bottle (TIAB): a longitudinal, correlational study of patterns, potential predictors, and outcomes of immunosuppressive medication adherence in adult kidney transplant recipients

This study examined patterns, potential predictors, and outcomes of immunosuppressive medication adherence in a convenience sample of 121 kidney transplant recipients aged 21 yr or older from three kidney transplant centers using a theory-based, descriptive, correlational, longitudinal design. Electronic monitoring was conducted for 12 months using electronic monitoring. Participants were persistent in taking their immunosuppressive medications, but execution, which includes both taking and timing, was poor. Older age was the only demographic variable associated with medication adherence (r = 0.25; p = 0.005). Of the potential predictors examined, only medication self-efficacy was associated with medication non-adherence, explaining about 9% of the variance (r = 0.31, p = 0.0006). The few poor outcomes that occurred were not significantly associated with medication non-adherence, although the small number of poor outcomes may have limited our ability to detect a link. Future research should test fully powered, theory-based, experimental interventions that include a medication self-efficacy component.

Improving Maintenance Medication Adherence in Adult Inflammatory Bowel Disease Patients: A Pilot Study

Medication nonadherence in inflammatory bowel disease (IBD) may lead to suboptimal control of the disease, decreased quality of life, and poor outcomes. This pilot study evaluated the feasibility, intervention mechanism, and potential effectiveness of a three-month continuous self-improvement (CSI) intervention to enhance medication adherence (MA) in adult nonadherent IBD patients. Adult IBD patients taking a daily or twice-daily dosed maintenance medication were screened electronically for two months to determine baseline MA levels. Nonadherent IBD participants were randomized to the CSI or the attention control (AC) intervention and monitored for three months. The CSI intervention consisted of a data evaluation and system refinement process in which system changes were identified and implemented. The AC group was given educational information regarding IBD disease process, extra-intestinal manifestations of IBD, and medical therapy. Demographic statistics, change scores for within and between-group differences, and effect size estimates were calculated. Nine nonadherent participants (medication adherence score <0.85) were eligible for randomization. The intervention was found feasible and acceptable. Although no statistically significant improvement in MA was found (P=0.14), adherence improved in 3 of 4 of the CSI group and 1 of 2 in the attention control group. The effect size calculation of 1.9 will determine the sample size for future study. The results of this pilot study showed the intervention was feasible and had a positive effect on MA change score and adherence levels. A larger fully powered study is needed to test of the effectiveness of this innovative intervention.

Mobile Health Medication Adherence and Blood Pressure Control in Renal Transplant Recipients: A Proof-of-Concept Randomized Controlled Trial

Background

Mobile phone based programs for kidney transplant recipients are promising tools for improving long-term graft outcomes and better managing comorbidities (eg, hypertension, diabetes). These tools provide an easy to use self-management framework allowing optimal medication adherence that is guided by the patients’ physiological data. This technology is also relatively inexpensive, has an intuitive interface, and provides the capability for real-time personalized feedback to help motivate patient self-efficacy. Automated summary reports of patients’ adherence and blood pressure can easily be uploaded to providers’ networks helping reduce clinical inertia by reducing regimen alteration time.

Objective

The aim of this study was to assess the feasibility, acceptability, and preliminary outcomes of a prototype mobile health (mHealth) medication and blood pressure (BP) self-management system for kidney transplant patients with uncontrolled hypertension.

Methods

A smartphone enabled medication adherence and BP self-management system was developed using a patient and provider centered design. The development framework utilized self-determination theory with iterative stages that were guided and refined based on patient/provider feedback. A 3-month proof-of-concept randomized controlled trial was conducted in 20 hypertensive kidney transplant patients identified as non-adherent to their current medication regimen based on a month long screening using an electronic medication tray. Participants randomized to the mHealth intervention had the reminder functions of their electronic medication tray enabled and received a bluetooth capable BP monitor and a smartphone that received and transmitted encrypted physiological data and delivered reminders to measure BP using text messaging. Controls received standard of care and their adherence continued to be monitored with the medication tray reminders turned off. Providers received weekly summary reports of patient medication adherence and BP readings.

Results

Participation and retention rates were 41/55 (75%) and 31/34 (91%), respectively. The prototype system appears to be safe, highly acceptable, and useful to patients and providers. Compared to the standard care control group (SC), the mHealth intervention group exhibited significant improvements in medication adherence and significant reductions in clinic-measured systolic blood pressures across the monthly evaluations. Physicians made more anti-hypertensive medication adjustments in the mHealth group versus the standard care group (7 adjustments in 5 patients versus 3 adjustments in 3 patients) during the 3-month trial based on the information provided in the weekly reports.

Conclusions

These data support the acceptability and feasibility of the prototype mHealth system. Further trials with larger sample sizes and additional biomarkers (eg, whole blood medication levels) are needed to examine efficacy and effectiveness of the system for improving medication adherence and blood pressure control after kidney transplantation over longer time periods.

Trial Registration

Clinicaltrials.gov NCT01859273; http://clinicaltrials.gov/ct2/show/NCT01859273 (Archived by WebCite at http://www.webcitation.org/6IqfCa3A3).

Taking immunosuppressive medications effectively (TIMELink): a pilot randomized controlled trial in adult kidney transplant recipients

BACKGROUND

Immunosuppressive medication non-adherence is one of the most prevalent but preventable causes of poor outcomes in adult renal transplant recipients, yet there is a paucity of studies testing interventions in this area.

METHODS

Using a randomized controlled trial design, 30 adult renal transplant recipients were screened for medication non-adherence using electronic monitoring. Fifteen non-adherent participants were randomized to receive either a continuous self-improvement intervention or attention control management. The six-month continuous self-improvement intervention involved the participant and clinical nurse specialist collaboratively identifying the person's life routines, important people, and possible solutions to enhance medication taking. The participant then received individual monthly medication taking feedback delivered via a graphic printout of daily medication taking generated from electronic monitoring.

RESULTS

The mean medication adherence score for the continuous self-improvement intervention group (n = 8) was statistically significantly higher than the attention control group's (n = 5) mean medication adherence score (p = 0.03). The continuous self-improvement intervention effect size (Cohen's d) was large at 1.4. Participants' perceptions of the intervention were highly favorable.

CONCLUSIONS

The continuous self-improvement intervention shows promise as an effective and feasible approach to improve medication adherence in adult renal transplant recipients. A fully-powered study with a diverse sample is needed to confirm these preliminary findings.

Quantifying the impact of nonadherence patterns on exposure to oral immunosuppressants

Background and objectives:

Nonadherence to oral immunosuppressive drugs in renal transplant patients remains a major challenge. The objective of this study was to develop an adherence-exposure model that 1) quantifies the impact of nonadherence patterns on cyclosporine levels and 2) identifies nonadherence patterns that are associated with unfavorable transplantation outcomes.

Design, setting, participants, and measurements:

This model quantified variability in drug exposure, expressed as the coefficient of variation (CV%), for time-averaged and trough cyclosporine levels (C_avg and C_min, respectively), and percentage of days spent below the therapeutic C_min target. Simulated patterns of nonadherence closely matched those observed in clinical practice for four nonadherence clusters and an “Others” category.

Results:

Patients in simulated nonadherence clusters 1–3 spent a mean (standard deviation) 5.8% (4.9), 9.0% (5.0), and 6.5% (3.4) of days below the C_min target, compared with 76.8% (6.5) for cluster 4 and 38.3% (6.4) for the “Others” category. Mean (standard deviation) CV% values for C_min were 24.1 (7.9), 35.4 (11.7), and 34.1 (10.6) for clusters 1–3, compared with 136.4 (23.6) for cluster 4 and 64.8 (10.3) for the “Others” category. Findings for C_avg were similar.

Conclusion:

Based on nonadherence patterns and known relationships between CV% for C_min and C_avg, and transplantation outcomes, patients in cluster 4 and the “Others” category are expected to be at high risk of allograft rejection. The proposed drug adherence-exposure model is useful to identify high-risk patients who can be targeted for interventions aimed at enhancing drug adherence to optimize clinical long-term outcomes.

Medication adherence in older renal transplant recipients

This project examined patterns, predictors, and outcomes of medication adherence in a convenience sample of 37 renal transplant recipients aged 55 years or older in a Mid-Southern U.S. facility using an exploratory, descriptive, longitudinal design. Electronic monitoring was conducted for 12 months using the Medication Event Monitoring System. An alarming 86% of the participants were nonadherent with medications. Four clusters of medication taking and timing patterns were identified with evening doses presenting particular challenges. Depression, self-efficacy, social support, and medication side effects did not predict medication adherence. There was no significant difference in medication adherence scores between those with and without infections. Medication adherence pattern data from electronic monitoring provides an opportunity for health care professionals to move away from blaming the patient by attempting to identify predictors for medication nonadherence. Medication dose taking and timing patterns could be explored with patients so that medication adherence interventions could target specific patient patterns.

An analysis of electronically monitored adherence to antiretroviral medications

Medication adherence studies increasingly collect data electronically, often using Medication Event Monitoring System (MEMS) caps. Analyses typically focus on summary adherence measures, although more complete analyses are possible using adaptive statistical methods. These methods were used to describe individual-subject adherence patterns for MEMS data from a clinical trial. Subjects were adaptively clustered into groups with similar adherence patterns and clusters were compared on a variety of subject characteristics. There were seven different adherence clusters: consistently high, consistently moderately high, consistently moderate, consistently moderately low, consistently low, deteriorating starting early, and deteriorating late. Compared to other subjects, subjects with consistently high and consistently moderately high adherence were more likely to be male, White, and older and to maintain during study participation a CD4 cell count over 500 and an HIV viral load of at most 400 copies/ml. These results demonstrate the effectiveness of adaptive methods for comprehensive analysis of MEMS data.

Medication adherence and older renal transplant patients' perceptions of electronic medication monitoring

This study evaluated older renal transplant recipients' perceptions of electronic medication monitoring and the influence of these perceptions on medication adherence. A sample of 73 older adult renal transplant recipients who used the Medication Event Monitoring System (MEMS(®)) TrackCaps for 12 months provided their perceptions of device use. Participants perceived that the MEMS had a neutral effect on their medication-taking routine (65%), believed the MEMS was practical (56%), and could not describe any instances in which using the MEMS was difficult (56%). No significant difference in medication adherence was found between those who perceived the MEMS's influence negatively/neutrally and those who perceived the MEMS positively (p = 0.22). Medication adherence data from older adult renal transplant recipients can be used regardless of their perceptions of the MEMS's influence on their medication taking without biasing medication adherence data.

Medication-taking among adult renal transplant recipients: barriers and strategies

Medication adherence is essential for the survival of kidney grafts, however, the complexity of the medication-taking regimen makes adherence difficult. Little is known about barriers to medication-taking and strategies to foster medication-taking. This cross-sectional study involved semi-structured interviews with 82 kidney transplant recipients approximately 2 months post-transplant on medication-related adherence, barriers to medication-taking, and strategies to foster medication-taking. Although self-reported adherence was high (88%), qualitative analysis revealed that half of the patients (49%) reported experiencing at least one barrier to medication-taking. The most common barriers were: not remembering to refill prescriptions (13%), changes to medication prescriptions or dosages (13%), being busy (10%), forgetting to bring medicines with them (10%), and being away from home (10%). The most common strategies to foster medication-taking were: maintaining a schedule of medication-taking (60%), organizing pills using pillboxes, baggies, cups (42%), bringing medicines with them (34%), organizing pills according to routine times (32%), and relying on other people to remind them (26%). Understanding the range of barriers to adherence and strategies kidney recipients devised to promote medication-taking may help transplant clinicians to better educate transplant recipients about appropriate medication-taking, mitigate the risk of medication nonadherence-related rejection, and may help inform patient-centered interventions to improve medication adherence.

Q-methodology to identify young adult renal transplant recipients at risk for nonadherence

BACKGROUND

Young adult renal transplant recipients may display patterns of behavior that affect graft survival. The present study aimed to identify young adults at risk for nonadherent behavior by investigating their attitudes about posttransplant health lifestyle.

METHOD

A Q-methodological study was conducted. Participants were asked to rank-order statements on issues potentially associated with (non)adherence. Factor analysis was applied to uncover patterns in the ranking of statements. The resulting factors represent attitudes and are described using a composite ranking of the statements. As a first test of discriminated validity, a different group of 34 young renal transplant patients was asked how well the factor descriptions fitted them.

RESULTS

Twenty-six young renal transplant recipients (18-25 years) participated in the study. They were remarkably willing to discuss sensitive issues when confronted with statements on cards. Four distinct attitude profiles concerning posttransplant health lifestyle were found among these young adults: (a) concerned and controlled, (b) appearance orientated, (c) opinionated and independent, and (d) easy going and pliable. In a follow-up analysis, self-categorization proved to discriminate well between the four attitude profiles in 67% of the respondents.

CONCLUSIONS

Using Q-methodology, four attitude profiles about posttransplant health lifestyle were uncovered. Self-categorization on these attitudes seems feasible and may be a useful screening aid to identify young adults at risk for nonadherence.

Diagnostic accuracy of measurement methods to assess non-adherence to immunosuppressive drugs in kidney transplant recipients

Valid assessment of immunosuppressive therapy non-adherence (NAH) is vital: NAH is associated with negative transplantation outcomes. We studied the diagnostic accuracy of assay, patient self-reports and clinicians' collateral reports and composite adherence scores using electronic monitoring (EM) as a reference standard. This cross-sectional study included a convenience sample of 249 adult kidney transplant recipients (Ktx) (female: 43.4%; mean age 53.6 [SD: 12.7], median 7 years [IQR: 9 years] post-Ktx). NAH was assessed using EM over 3 months (i.e. reference standard), assays of cyclosporine, tacrolimus, mycophenolat-mofetil, patients' self-reports and clinicians' collateral reports. The constructed composite adherence score included assay, self-reports and collateral reports. NAH's prevalence across the measurement methods was EM: 17.3%; assay: 33% (cyclosporine: 25.8%; tacrolimus: 35.1%; mycophenolat-mofetil: 40.2%); self-report: 12.4%; collateral reports: 24.9% and composite adherence score: 38.9%, respectively. The composite adherence score and collateral reports showed the highest and lowest sensitivities to NAH (72.1% and 15.8%, respectively). Specificity was highest for collateral reports of at least three clinicians (93.1%). Likelihood ratio of a positive test was 2.74 for composite adherence score. No measures showed high sensitivity alongside high specificity. Combining measures increased diagnostic accuracy, indicating the relevance of combined measures for clinical and research purposes.