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

A concept analysis of routines for improving health behaviors

Objective

Chronic disease patients often have unhealthy routines, especially when away from health care professionals. These patients need clear guidance about establishing and maintaining routines. This study aimed to synthesize a definition of the concept of routines for improving health behaviors based on its uses in the literature.

Methods

We searched CINAHL, Medline, Scopus, and Google Scholar from January to May, 2022 for articles that included definitions of routines in the context of improving health behavior. We applied no date restriction. The systematic analytic method and Rodgers' evolutionary concept analysis method were used. We charted the attributes, antecedents, and consequences of routines for improving health behaviors, analyzed their uses in the literature, and synthesized the results in a definition of the concept.

Result

At total of 24 articles were included. Attributes of the concept were repeated patterns, controllable by the patient, goal-oriented health, and integration into an overarching lifestyle. Antecedents were individual characteristics and environmental factors. Consequences were psychological, physical, and social well-being at individual and environmental levels.

Conclusion

This clarified definition of routines for improving health behaviors will provide a starting point for future research and, eventually, a basis for clinical nursing interventions to support patients in developing and maintaining healthy routines to promote better patient outcomes.

Interventions for improving health literacy in people with chronic kidney disease

BACKGROUND

Low health literacy affects 25% of people with chronic kidney disease (CKD) and is associated with increased morbidity and death. Improving health literacy is a recognised priority, but effective interventions are not clear.

OBJECTIVES

This review looked the benefits and harms of interventions for improving health literacy in people with CKD.

SEARCH METHODS

We searched the Cochrane Kidney and Transplant Register of Studies up to 12 July 2022 through contact with the Information Specialist using search terms relevant to this review. Studies in the Register are identified through searches of CENTRAL, MEDLINE, and EMBASE, conference proceedings, the International Clinical Trials Register (ICTRP) Search Portal and ClinicalTrials.gov. We also searched MEDLINE (OVID) and EMBASE (OVID) for non-randomised studies.

SELECTION CRITERIA

We included randomised controlled trials (RCTs) and non-randomised studies that assessed interventions aimed at improving health literacy in people with CKD.

DATA COLLECTION AND ANALYSIS

Two authors independently assessed studies for eligibility and performed risk of bias analysis. We classified studies as either interventions aimed at improving aspects of health literacy or interventions targeting a population of people with poor health literacy. The interventions were further sub-classified in terms of the type of intervention (educational, self-management training, or educational with self-management training). Results were expressed as mean difference (MD) or standardised mean difference (SMD) with 95% confidence intervals (CI) for continuous outcomes and risk ratios (RR) with 95% CI for dichotomous outcomes.

MAIN RESULTS

We identified 120 studies (21,149 participants) which aimed to improve health literacy. There were 107 RCTs and 13 non-randomised studies. No studies targeted low literacy populations. For the RCTs, selection bias was low or unclear in 94% of studies, performance bias was high in 86% of studies, detection bias was high in 86% of studies reporting subjective outcomes and low in 93% of studies reporting objective outcomes. Attrition and other biases were low or unclear in 86% and 78% of studies, respectively. Compared to usual care, low certainty evidence showed educational interventions may increase kidney-related knowledge (14 RCTs, 2632 participants: SMD 0.99, 95% CI 0.69 to 1.32; I² = 94%). Data for self-care, self-efficacy, quality of life (QoL), death, estimated glomerular filtration rate (eGFR) and hospitalisations could not be pooled or was not reported. Compared to usual care, low-certainty evidence showed self-management interventions may improve self-efficacy (5 RCTs, 417 participants: SMD 0.58, 95% CI 0.13 to 1.03; I² = 74%) and QoL physical component score (3 RCTs, 131 participants: MD 4.02, 95% CI 1.09 to 6.94; I² = 0%). There was moderate-certainty evidence that self-management interventions probably did not slow the decline in eGFR after one year (3 RCTs, 855 participants: MD 1.53 mL/min/1.73 m², 95% CI -1.41 to 4.46; I² = 33%). Data for knowledge, self-care behaviour, death and hospitalisations could not be pooled or was not reported. Compared to usual care, low-certainty evidence showed educational with self-management interventions may increase knowledge (15 RCTs, 2185 participants: SMD 0.65, 95% CI 0.36 to 0.93; I² = 90%), improve self-care behaviour scores (4 RCTs, 913 participants: SMD 0.91, 95% CI 0.00 to 1.82; I² =97%), self-efficacy (8 RCTs, 687 participants: SMD 0.50, 95% CI 0.10 to 0.89; I² = 82%), improve QoL physical component score (3 RCTs, 2771 participants: MD 2.56, 95% CI 1.73 to 3.38; I² = 0%) and may make little or no difference to slowing the decline of eGFR (4 RCTs, 618 participants: MD 4.28 mL/min/1.73 m², 95% CI -0.03 to 8.85; I² = 43%). Moderate-certainty evidence shows educational with self-management interventions probably decreases the risk of death (any cause) (4 RCTs, 2801 participants: RR 0.73, 95% CI 0.53 to 1.02; I² = 0%). Data for hospitalisation could not be pooled.

AUTHORS' CONCLUSIONS

Interventions to improve aspects of health literacy are a very broad category, including educational interventions, self-management interventions and educational with self-management interventions. Overall, this type of health literacy intervention is probably beneficial in this cohort however, due to methodological limitations and high heterogeneity in interventions and outcomes, the evidence is of low certainty.

Interventions for increasing immunosuppressant medication adherence in solid organ transplant recipients

BACKGROUND

Non-adherence to immunosuppressant therapy is a significant concern following a solid organ transplant, given its association with graft failure. Adherence to immunosuppressant therapy is a modifiable patient behaviour, and different approaches to increasing adherence have emerged, including multi-component interventions. There has been limited exploration of the effectiveness of interventions to increase adherence to immunosuppressant therapy.

OBJECTIVES

This review aimed to look at the benefits and harms of using interventions for increasing adherence to immunosuppressant therapies in solid organ transplant recipients, including adults and children with a heart, lung, kidney, liver and pancreas transplant.

SEARCH METHODS

We searched the Cochrane Kidney and Transplant Register of Studies up to 14 October 2021 through contact with the Information Specialist using search terms relevant to this review. Studies in the Register were identified through searches of CENTRAL, MEDLINE, and EMBASE, conference proceedings, the International Clinical Trials Register (ICTRP) Search Portal and ClinicalTrials.gov.

SELECTION CRITERIA

All randomised controlled trials (RCTs), quasi-RCTs, and cluster RCTs examining interventions to increase immunosuppressant adherence following a solid organ transplant (heart, lung, kidney, liver, pancreas) were included. There were no restrictions on language or publication type.

DATA COLLECTION AND ANALYSIS

Two authors independently screened titles and abstracts of identified records, evaluated study quality and assessed the quality of the evidence using the GRADE approach. The risk of bias was assessed using the Cochrane tool. The ABC taxonomy for measuring medication adherence provided the analysis framework, and the primary outcomes were immunosuppressant medication initiation, implementation (taking adherence, dosing adherence, timing adherence, drug holidays) and persistence. Secondary outcomes were surrogate markers of adherence, including self-reported adherence, trough concentration levels of immunosuppressant medication, acute graft rejection, graft loss, death, hospital readmission and health-related quality of life (HRQoL). Meta-analysis was conducted where possible, and narrative synthesis was carried out for the remainder of the results.

MAIN RESULTS

Forty studies involving 3896 randomised participants (3718 adults and 178 adolescents) were included. Studies were heterogeneous in terms of the type of intervention and outcomes assessed. The majority of studies (80%) were conducted in kidney transplant recipients. Two studies examined paediatric solid organ transplant recipients. The risk of bias was generally high or unclear, leading to lower certainty in the results. Initiation of immunosuppression was not measured by the included studies. There is uncertain evidence of an association between immunosuppressant medication adherence interventions and the proportion of participants classified as adherent to taking immunosuppressant medication (4 studies, 445 participants: RR 1.09, 95% CI 0.95 to 1.20; I² = 78%). There was very marked heterogeneity in treatment effects between the four studies evaluating taking adherence, which may have been due to the different types of interventions used. There was evidence of increasing dosing adherence in the intervention group (8 studies, 713 participants: RR 1.14, 95% CI 1.03 to 1.26, I² = 61%).  There was very marked heterogeneity in treatment effects between the eight studies evaluating dosing adherence, which may have been due to the different types of interventions used. It was uncertain if an intervention to increase immunosuppressant adherence had an effect on timing adherence or drug holidays. There was limited evidence that an intervention to increase immunosuppressant adherence had an effect on persistence. There was limited evidence that an intervention to increase immunosuppressant adherence had an effect on secondary outcomes. For self-reported adherence, it is uncertain whether an intervention to increase adherence to immunosuppressant medication increases the proportion of participants classified as medically adherent to immunosuppressant therapy (9 studies, 755 participants: RR 1.21, 95% CI 0.99 to 1.49; I² = 74%; very low certainty evidence). Similarly, it is uncertain whether an intervention to increase adherence to immunosuppressant medication increases the mean adherence score on self-reported adherence measures (5 studies, 471 participants: SMD 0.65, 95% CI -0.31 to 1.60; I² = 96%; very low certainty evidence). For immunosuppressant trough concentration levels, it is uncertain whether an intervention to increase adherence to immunosuppressant medication increases the proportion of participants who reach target immunosuppressant trough concentration levels (4 studies, 348 participants: RR 0.98, 95% CI 0.68 to 1.40; I² = 40%; very low certainty evidence). It is uncertain whether an intervention to increase adherence to immunosuppressant medication may reduce hospitalisations (5 studies, 460 participants: RR 0.67, 95% CI 0.44 to 1.02; I² = 64%; low certainty evidence). There were limited, low certainty effects on patient-reported health outcomes such as HRQoL. There was no clear evidence to determine the effect of interventions on secondary outcomes, including acute graft rejection, graft loss and death. No harms from intervention participation were reported.

AUTHORS' CONCLUSIONS

Interventions to increase taking and dosing adherence to immunosuppressant therapy may be effective; however, our findings suggest that current evidence in support of interventions to increase adherence to immunosuppressant therapy is overall of low methodological quality, attributable to small sample sizes, and heterogeneity identified for the types of interventions. Twenty-four studies are currently ongoing or awaiting assessment (3248 proposed participants); therefore, it is possible that findings may change with the inclusion of these large ongoing studies in future updates.

Cost-Effectiveness Analysis: Personal Systems Approach in Improving Medication Adherence in Adult Kidney Transplant Patients

ABSTRACT

Interventions to improve medication nonadherence in transplantation have recently moved from a focus on motivation and intention, to a focus on person-level quality improvement strategies. These strategies link adherence to established daily routines, environmental cues, and supportive people. The objective of this evaluation was to estimate the cost of implementation and the cost-effectiveness of a person-level intervention shown to increase medication adherence. To estimate the intervention costs, a direct measure microcosting approach was used after key informant interviews with project champions and a review of implementation expenditures. Cost-effectiveness was calculated by comparing the incremental implementation costs and healthcare costs associated with nonadherence to the incremental percent adherent, defined as the percent of patients who took greater or equal to 85% of their medication doses, for each pairwise comparison. The intervention was low-resource to implement, costing approximately $520 to implement per patient, and was associated with significant improvements in medication adherence. These implementation costs were more than outweighed by the expected healthcare savings associated with improvements in adherence. This person-level intervention is a low-cost, efficacious intervention associated with significant statistical and clinical improvements in medication adherence in adult kidney transplant recipients.

Medication adherence interventions in transplantation lack information on how to implement findings from randomized controlled trials in real-world settings: A systematic review

BACKGROUND

Growing numbers of randomized controlled trials (RCTs) are showing the effectiveness of interventions to improve medication adherence in transplantation recipients. However, real-world implementation is still a major challenge. This systematic review assesses the range of information available in RCTs supporting these interventions' clinical adoption in adult transplant populations.

METHODS

We included RCTs of interventions that a) targeted any phase of medication adherence in solid organ or allogeneic stem cell transplantation recipients and b) were published between January 2015 and November 2020. We excluded study protocols, conference abstracts and studies focusing only on pediatric populations. We identified relevant database and trial registries as well as traced references backward and citations forward. Implementation-relevant information was evaluated using adapted versions of Peters' ten criteria: 1. healthcare/organizational context; 2. social/economic/policy context; 3. patient involvement; 4. other stakeholder involvement; 5. sample representativeness; 6. trial conducted in a real-world-setting; 7. presence of feasibility study; 8. implementation strategy; 9. process evaluation; 10. implementation outcomes, using a stoplight color-rating system.

RESULTS

Screening 17'004 titles/abstracts resulted in 23 eligible RCTs, including 2'339 patients (n = 19-209/study). All included studies focused on the implementation phase of medication adherence. The best-reported criteria were feasibility study (43%), representative sample (17%) and conducted in a real-world-setting (17%). Least reported were context (9%), implementation strategies (4%), process evaluation (4%).

CONCLUSIONS

RCTs testing medication adherence interventions tend to report limited implementation-relevant information. This hinders their translation to real-world transplant settings. Integrating implementation science principles early in the conceptualization of RCTs would fuel real-world-translation, reducing research waste.

Prospective single-centre clinical observational study on electronically monitored medication non-adherence, its psychosocial risk factors and lifestyle behaviours after heart transplantation: a study protocol

INTRODUCTION

In heart transplant recipients (HTRs), non-adherence (NA) to immunosuppressive (IS) medication and to recommended lifestyle behaviours are a common phenomenon and associated with higher risk of allograft rejection, organ loss and mortality. Risk factors for NA are highly diverse and still insufficiently researched. Precise measures of NA and an accurate understanding of its aetiology are of undisputable importance to detect patients at risk and intervene accordingly. The aim of this study is to assess the accuracy and concordance of different measures for NA as well as to determine potential risk factors.

METHODS AND ANALYSIS

This is a single-centre prospective observational trial. HTRs who are at least aged 18 are no less than 6 months post-transplant and receive tacrolimus (Prograf or Advagraf), cyclosporine (Sandimmun) or everolimus (Certican) as their prescribed IS medication are eligible for participation. We only include patients during the phase of medication implementation. At study enrolment, we assess depression, health-related quality of life, self-efficacy, social support, attachment, experiences and attitudes towards IS medication, emotional responses after transplantation, satisfaction with information about IS medication and perceptions and beliefs about medications. We further ask patients to rate their lifestyle behaviours concerning alcohol, smoking, diet, physical activity, sun protection and appointment keeping via questionnaires. Three different measurement methods for NA are applied at T0: self-reports, physician's estimates and IS trough levels. NA is monitored prospectively using an electronic multicompartment pillbox (MEMS, VAICA) over a 3-month period. Meanwhile, participants receive phone calls every second week to obtain additional self-reports, resulting in a total of seven measurement points.

ETHICS AND DISSEMINATION

The study was approved by the Clinical Ethics Committee of the University Hospital Erlangen (Friedrich-Alexander-University, Erlangen-Nürnberg). Written informed consent is attained from all participants. The results of this study will be published in peer-reviewed journals and presented at conferences.

TRIAL REGISTRATION NUMBER

DRKS00020496.

Accuracy and concordance of measurement methods to assess non-adherence after renal transplantation - a prospective study

Background

Non-adherence (NA) to immunosuppressants (IS) among renal transplant recipients (RTRs) is associated with higher risk of allograft rejection, graft loss, and mortality. A precise measurement of NA is indispensable, although its prevalence differs greatly depending on the respective measurement methods. The objective of this study was to assess the accuracy and concordance of different measurement methods of NA in patients after renal transplantation.

Design and methods

This was a single-center prospective observational study. At baseline (T0), NA was measured via physicians’ estimates (PE), self-reports (SR), and tacrolimus trough level variability (CV%) in 78 RTRs. A Visual Analogue Scale (VAS, 0–100%) was applied both for SR and PE. In addition, we used BAASIS© for SR and a 5-point Likert scale for PE. NA was measured prospectively via electronic monitoring (EM, VAICA©) during a three month period. Meanwhile, all participants received phone calls in a two week interval (T1-T6) during which SRs were given.

Results

Seventy-eight RTRs participated in our study. At t0, NA rates of 6.4%, 28.6%, and 15.4% were found for PE, SR, and CV%, respectively. No correlation was found between these methods. During the study, the percentages of self-reported and electronically monitored adherence remained high, with a minimum mean of 91.2% for the strictest adherence measure (Timing Adherence ±30 min). Our results revealed a moderate to high association between SR and EM. In contrast to PE and CV%, SR significantly predicted electronically monitored adherence. Overall, a decreasing effect of electronically monitored adherence was found for both taking and timing adherence (±2 h, ±30 min) over the course of the study.

Discussion

The moderate to high concordance of SR and EM suggests that both methods measure NA equally accurately. SR seems to be a method that can adequately depict electronically monitored NA and may represent a good and economical instrument to assess NA in clinical practice. The increased adherence at the beginning of the study and its subsequent decrease suggests an intervention effect. Surveillance of IS intake via EM with intermittent phone calls could improve adherence on a short-term basis. To establish long-term effects, further research is necessary.

Optimization of Electronically Monitored Non-Adherence in Highly Adherent Renal Transplant Recipients by Reducing the Dosing Frequency - A Prospective Single-Center Observational Study

BACKGROUND

Non-adherence (NA) after renal transplantation poses a major risk for allograft rejection, graft loss, and patient mortality. Yet, there is still ambiguity about its etiology and its possible relationships with patient-related factors. In order to prevent poor outcomes after transplantation, it is crucial to gain a more refined understanding of potential determinants, to identify patients at risk, and to intervene accordingly. The objective of this study was to assess potential risk factors of NA by prospectively applying electronic monitoring.

MATERIALS AND METHODS

This was a single-center prospective observational study. Prior to study initiation, sociodemographic, biomedical, and psychosocial variables (depression, health-related quality of life, self-efficacy, social support, attachment, experiences and attitudes towards immunosuppressive medication, emotional responses after organ transplantation, satisfaction with information about immunosuppressive medication, and perceptions and beliefs about medications) were assessed. Thereafter, immunosuppressive adherence behavior was measured prospectively via electronic monitoring (EM, VAICA©) during a 3-month period to receive the percentage frequency of Taking and Timing Adherence (±2h, ±30min) for each patient. Focus of this study was the phase of medication implementation.

RESULTS

A total of 78 patients participated in our study (mean age 55.28, 56% male). We found rates of 99.39% for Taking Adherence, 98.34% for Timing Adherence ±2h, and 93.34% for Timing Adherence ±30min, respectively.  Multiple regression analyses revealed that the type of medication could significantly predict Taking Adherence. Patients receiving Advagraf© (once daily) depicted better Taking Adherence than patients receiving Prograf© (twice daily) (p=0.04). No associations were found for Timing Adherence (±2h, ±30min). Sociodemographic, biomedical, or psychosocial variables were not found to be associated with adherence behavior.

DISCUSSION

In highly adherent populations, only a few factors can be altered to improve adherence. Changing the immunosuppressive regimen from twice-daily to once-daily could be an option for optimizing adherence. However, risk factors for NA could be different in a less adherent population.

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.

A qualitative examination of barriers and solutions to renal transplantation in Malaysia: Key-informants' perspective

INTRODUCTION

End-stage renal disease (ESRD) is increasing globally, and renal transplantation (RT) is the preferred renal replacement therapy to treat ESRD. Internationally, there are only a few countries with RT rates above 50 per million population (pmp), while most of the countries have RT rates between 30-40 pmp. The low- and middle-income countries (LMIC) makes up the majority for the RT rates below 20 pmp in which Malaysia belongs to despite its increasing ESRD rates. There is a need to explore the barriers to access RT with targeted solutions to improve the RT rates and service in LMIC. Thus, a qualitative study was undertaken in Malaysia to address this issue.

METHOD

A qualitative methodological approach was performed between March-May 2018. Semi-structured interviews were used to explore current RT policy and service availability. Key-informants were identified from a detailed stakeholder analysis of RT system in Malaysia. Interviews were digitally audio-recorded, transcribed verbatim, coded with ATLAS.ti software and underwent thematic analysis thoroughly.

RESULTS

Eight key-informants participated in the study. Barriers and related solutions were classified using the socio-ecological model (SEM). As reported, the barriers and solutions of RT in Malaysia are the results of a complex interplay of personal, cultural, and environmental factors. Key barriers are linked to public's attitude and perception towards RT and the unaccommodating practices in the healthcare fraternity for RT. Key-informants provided a systematic solution that shed light on how RT could be improved at each SEM level via effective communication, education and inter-agency collaboration.

CONCLUSION

The SEM provided a framework to foster a better understanding of current practice, barriers, and solutions to RT in Malaysia. This study is the first to explore the barriers and related solutions to RT comprehensively as a whole. Implications of these findings could prompt a policy change for a better RT service delivery model not just for Malaysia but also for other LMIC. Further stakeholder engagement and evaluation of the systems are required to provide insight into best practices that will help to improve the RT rates and service in Malaysia.

eHealth interventions for people with chronic kidney disease

BACKGROUND

Chronic kidney disease (CKD) is associated with high morbidity and death, which increases as CKD progresses to end-stage kidney disease (ESKD). There has been increasing interest in developing innovative, effective and cost-efficient methods to engage with patient populations and improve health behaviours and outcomes. Worldwide there has been a tremendous increase in the use of technologies, with increasing interest in using eHealth interventions to improve patient access to relevant health information, enhance the quality of healthcare and encourage the adoption of healthy behaviours.

OBJECTIVES

This review aims to evaluate the benefits and harms of using eHealth interventions to change health behaviours in people with CKD.

SEARCH METHODS

We searched the Cochrane Kidney and Transplant Register of Studies up to 14 January 2019 through contact with the Information Specialist using search terms relevant to this review. Studies in the Register are identified through searches of CENTRAL, MEDLINE, and EMBASE, conference proceedings, the International Clinical Trials Register (ICTRP) Search Portal and ClinicalTrials.gov.

SELECTION CRITERIA

Randomised controlled trials (RCTs) and quasi-RCTs using an eHealth intervention to promote behaviour change in people with CKD were included. There were no restrictions on outcomes, language or publication type.

DATA COLLECTION AND ANALYSIS

Two authors independently assessed trial eligibility, extracted data and assessed the risk of bias. The certainty of the evidence was assessed using GRADE.

MAIN RESULTS

We included 43 studies with 6617 participants that evaluated the impact of an eHealth intervention in people with CKD. Included studies were heterogeneous in terms of eHealth modalities employed, type of intervention, CKD population studied and outcomes assessed. The majority of studies (39 studies) were conducted in an adult population, with 16 studies (37%) conducted in those on dialysis, 11 studies (26%) in the pre-dialysis population, 15 studies (35%) in transplant recipients and 1 studies (2%) in transplant candidates We identified six different eHealth modalities including: Telehealth; mobile or tablet application; text or email messages; electronic monitors; internet/websites; and video or DVD. Three studies used a combination of eHealth interventions. Interventions were categorised into six types: educational; reminder systems; self-monitoring; behavioural counselling; clinical decision-aid; and mixed intervention types. We identified 98 outcomes, which were categorised into nine domains: blood pressure (9 studies); biochemical parameters (6 studies); clinical end-points (16 studies); dietary intake (3 studies); quality of life (9 studies); medication adherence (10 studies); behaviour (7 studies); physical activity (1 study); and cost-effectiveness (7 studies).Only three outcomes could be meta-analysed as there was substantial heterogeneity with respect to study population and eHealth modalities utilised. There was found to be a reduction in interdialytic weight gain of 0.13kg (4 studies, 335 participants: MD -0.13, 95% CI -0.28 to 0.01; I² = 0%) and a reduction in dietary sodium intake of 197 mg/day (2 studies, 181 participants: MD -197, 95% CI -540.7 to 146.8; I² = 0%). Both dietary sodium and fluid management outcomes were graded as being of low evidence due to high or unclear risk of bias and indirectness (interdialytic weight gain) and high or unclear risk of bias and imprecision (dietary sodium intake). Three studies reported death (2799 participants, 146 events), with 45 deaths/1000 cases compared to standard care of 61 deaths/1000 cases (RR 0.74, CI 0.53 to 1.03; P = 0.08). We are uncertain whether using eHealth interventions, in addition to usual care, impact on the number of deaths as the certainty of this evidence was graded as low due to high or unclear risk of bias, indirectness and imprecision.

AUTHORS' CONCLUSIONS

eHealth interventions may improve the management of dietary sodium intake and fluid management. However, overall these data suggest that current evidence for the use of eHealth interventions in the CKD population is of low quality, with uncertain effects due to methodological limitations and heterogeneity of eHealth modalities and intervention types. Our review has highlighted the need for robust, high quality research that reports a core (minimum) data set to enable meaningful evaluation of the literature.

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.

Randomized Controlled Trial of the SystemCHANGE Intervention on Behaviors Related to Cardiovascular Risk in HIV+ Adults

OBJECTIVE

To examine the effect of a lifestyle behavior intervention (SystemCHANGE) on physical activity and diet quality among sedentary people living with HIV (PLHIV). All participants expressed a desire to improve lifestyle health behaviors.

METHODS

One hundred and seven HIV+ adults were randomized to either the intervention (6, in-person, standardized group sessions focusing on improving lifestyle behaviors) or a control condition (general advice on AHA diet and exercise guidelines). All participants wore an ActiGraph accelerometer and completed 24-hour dietary recalls at baseline, 3, and 6 months. Generalized estimating equations were used to examine intervention effects. The primary activity outcome was time spent in moderate-to-vigorous physical activity, and the primary dietary outcome was Healthy Eating Index.

RESULTS

Mean age was 53 years, 65% were male, and 86% African American. Approximately 90% attended at least half of the sessions and 60% attended 5 or more sessions. The intervention did not significantly improve our primary lifestyle behavior endpoints (P ≥ 0.05); however, intervention participants consumed fewer carbohydrates-primarily sugar-sweetened beverages-per day and lost 0.732 kg body weight compared with a 0.153 weight gain in the control group (P = 0.03).

CONCLUSIONS

Among sedentary PLHIV at high risk of cardiovascular disease, the SystemCHANGE intervention reduced daily carbohydrate intake and body weight, but did not increase physical activity or improve overall diet quality. Future work should identify fundamental personal, interpersonal, and contextual factors that will increase physical activity and improve overall diet quality among this population, and integrate these factors into tailored, lifestyle interventions for aging PLHIV.

Strategies for long-term preservation of kidney graft function

Kidney transplantation has become a routine procedure in the treatment of patients with kidney failure, and requires collaboration of experts from different disciplines, such as nephrology, surgery, immunology, pathology, infectious disease medicine, cardiology, and oncology. Grafts can be obtained from deceased or living donors, with different logistical requirements and implications for long-term graft patency. 1-year graft survival rates are greater than 95% in many centres but improvement of long-term function remains a challenge. New developments in molecular immunology and computational biology have increased precision of donor and recipient matching of HLA and non-HLA compatibility. Individual omics-wide molecular diagnostics, extracorporeal therapies, and drug developments allow for precise individual decision making and treatment. Tolerance induction by mixed chimerism without toxic conditioning and with a low risk of graft versus host disease is a visionary but realistic goal. Some of these innovations are already used in modern transplant centres and will allow advancement in long-term allograft preservation.

Changing Paradigms in the Management of Rejection in Kidney Transplantation: Evolving From Protocol-Based Care to the Era of P4 Medicine

PURPOSE OF REVIEW

P4 medicine denotes an evolving field of medicine encompassing predictive, preventive, personalized, and participatory medicine. Using the example of kidney allograft rejection because of donor-recipient incompatibility in human leukocyte antigens, this review outlines P4 medicine's relevance to the various stages of the kidney transplant cycle.

SOURCES OF INFORMATION

A search for English articles was conducted in Medline via OvidSP (up to August 18, 2016) using a combination of subject headings (MeSH) and free text in titles, abstracts, and author keywords for the concepts kidney transplantation and P4 medicine. The electronic database search was expanded further on particular subject headings.

FINDINGS

Available histocompatibility methods exemplify current applications of the predictive and preventive domains of P4 medicine in kidney transplant recipients' care. Pharmacogenomics are discussed as means to facilitate personalized immunosuppression regimens and promotion of active patient participation as a means to improve adherence.

LIMITATIONS

For simplicity, this review focuses on rejection. P4 medicine, however, should more broadly address health concerns in kidney transplant recipients, including competing outcomes such as infections, malignancies, and cardiovascular disease. This review highlights how biomarkers to evaluate these competing outcomes warrant validation and standardization prior to their incorporation into clinical practice.

IMPLICATIONS

Consideration of all 4 domains of the P4 medicine framework when caring for and/or studying kidney transplant recipients has the potential of increasing therapeutic efficiency, minimizing adverse effects, decreasing health care costs, and maximizing wellness. Technologies to gauge immune competency, immunosuppression requirements, and early/reversible immune-mediated injuries are required to optimize kidney transplant care.