Methods for Measuring, Enhancing, and Accounting for Medication Adherence in Clinical Trials

Medication adherence feedback with older adults with cognitive impairment: a mixed Methods study

Objective: Older adults with cognitive impairment are at risk of medication-taking errors. This study assessed the impact of providing medication adherence feedback to cognitively impaired older adults. Methods: Forty participants with mild cognitive impairment or mild dementia had their medication adherence electronically monitored for 8 weeks. They were provided with verbal and visual feedback about their adherence results. Initial participant reactions were elicited using a Motivational Interviewing approach, and self-reported behavior changes were assessed during a follow-up interview. Quantitative analyses assessed relationships among electronically monitored and self-rated adherence, initial reactions to adherence feedback, and subsequently reported medication self-management changes. Thematic analysis determined facilitators and barriers to making self-management changes. Results: Although self-rated adherence was high, electronic monitoring revealed that 20% of the sample had suboptimal adherence (took the recommended dose on <80% of monitored days). Fifty-three percent of the sample reported feeling surprised by their adherence results, and 45% endorsed initial motivation to change self-management behaviors. Motivated participants demonstrated worse electronically monitored adherence than unmotivated peers, and those who were surprised by their medication-taking errors expressed greater initial motivation to change. At follow-up, 50% reported having made changes, and 82.4% of them indicated that this study played a role. Facilitators of making changes included awareness of medication-taking errors and cognitive impairment, whereas barriers included lack of perceived difficulty/need. Conclusions: Adherence monitoring with feedback is feasible and impactful in cognitively impaired older adults. Increasing awareness of medication-taking errors fosters motivation to improve medication self-management and results in participant-reported behavior change.

AI-based medication adherence prediction in patients with schizophrenia and attenuated psychotic disorders

OBJECTIVE

The capacity of machine-learning algorithms to predict medication adherence was assessed using data from AiCure, a computer vision-assisted smartphone application, which records the medication ingestion event.

METHODS

Patients treated with BI 409306 were recruited from two Phase II randomized, placebo-controlled trials in schizophrenia (NCT03351244) and attenuated psychotic disorders (NCT03230097). A machine-learning model was optimized to predict overall trial adherence using AiCure data collected over three monitoring periods (7/10/14 days), adherence cut-offs (0.6/0.7/0.8) and timepoints (Start/Mid/End). Area under the curve (AUC), false negative rate, and false omission rate averaged across 10 model cross-validations were analyzed. In NCT03351244, post hoc analyses compared time to first relapse in patients observed as adherent versus those predicted adherent by the model.

RESULTS

Of 235 patients, 60.4 % demonstrated ≥80 % adherence. At an adherence cut-off of 0.8, the 14-day model performed best (AUC: 0.81 versus 0.79 [10-day], 0.77 [7-day]). Within the 14-day model, 0.6 cut-off was optimal (AUC: 0.87 versus 0.85 [0.7 cut-off], 0.81 [0.8 cut-off]). The Trial-End timepoint yielded the most accurate prediction (AUC: 0.92 versus 0.87 [Start], 0.85 [Mid]). Despite NCT03351244 not meeting the primary endpoint, a reduction in risk of first relapse with BI 409306 versus placebo was observed when analyzed with adherent completers (≥80 % across trial; HR = 0.485) and patients with predicted adherence ≥60 % (HR = 0.510).

CONCLUSIONS

Adherence data with longer monitoring durations (14 days), lower adherence cut-offs (0.6), and later timepoints (Trial-End) produced most accurate adherence predictions. Accurate adherence prediction provides insights about medication adherence patterns that may help clinicians improve individual adherence.

Intentional non-adherence to antipsychotic medication in patients with schizophrenia

BACKGROUND

Although adherence to antipsychotic medication is critical in the treatment of schizophrenia, prior studies have not adequately distinguished between intentional and unintentional non-adherence.

METHODS

This study included outpatients with schizophrenia. Self-reported intentional non-adherence was assessed cross-sectionally using the Japanese version of the Intentional Non-Adherence Scale (INAS-J). Item G12 of the Positive and Negative Syndrome Scale (PANSS), Medication Possession Ratio (MPR), psychiatric symptoms, side effects, and medication status were also assessed. An exploratory factor analysis was carried out to examine the factor structure of the INAS. Multiple regression analyses were conducted to examine factors associated with intentional non-adherence.

RESULTS

A total of 93 patients were included. The mean ± SD of INAS total score was 36.6 ± 16.2 (out of a maximum score of 110), with 33 subjects (35.5 %) having a minimum score of 22. The mean MPR was 98.2 ± 10.0 %, and the mean score for PANSS G12 was 1.8 ± 1.1. These suggested that they had well-preserved illness insight and good medication adherence. Exploratory factor analysis of the INAS revealed two factors, "Concern about medication" and "Confirming medication need". No variables were significantly associated with the INAS total score.

CONCLUSIONS

This is the first study to evaluate intentional non-adherence in patients with schizophrenia. Intentional non-adherence was low in this population. Our findings should be interpreted in the context of patients presenting with relatively well-preserved insight and good medication adherence. Further investigations using the INAS are warranted to examine intentional non-adherence in patients with more diverse backgrounds.

Adherence to the antirheumatic drugs: a systematic review and meta-analysis

Introduction

This systematic review and meta-analysis aimed to analyze the adherence rate for conventional and biological disease-modifying antirheumatic drugs (DMARDs) utilizing different assessment measures.

Method

A systematic literature search was performed in four electronic databases, including PubMed, Scopus, Web of Science, and the Cochrane Central Register of Controlled Trials (CENTRAL), covering the time frame from April 1970 to April 2023. Studies that present data on medication adherence among adult patients with rheumatoid arthritis (RA), specifically focusing on DMARDs (conventional or biological), were included in the analysis. The adherence rate for different assessment measures was documented and compared, as well as for conventional and biological DMARDs. A random-effects meta-analysis was performed to assess adherence rates across different adherence assessment measures and drug groups.

Results

The search identified 8,480 studies, out of which 66 were finally included in the analysis. The studies included in this meta-analysis had adherence rates ranging from 12 to 98.6%. Adherence rates varied across several adherent measures and calculation methods. Using the subjective assessment measures yielded the outcomes in terms of adherence rate: 64.0% [0.524, 95% CI 0.374-0.675] for interviews and 60.0% [0.611, 95% CI 0.465-0.758] for self-reported measures (e.g., compliance questionnaires on rheumatology CQR-5), p > 0.05. In contrast, the objective measurements indicated a lower adherence rate of 54.4% when using the medication event monitoring system (p > 0.05). The recorded rate of adherence to biological DMARDs was 45.3% [0.573, 95% CI 0.516-0.631], whereas the adherence rate for conventional DMARDs was 51.5% [0.632, 95% CI 0.537-0.727], p > 0.05. In the meta-regression analysis, the covariate "Country of origin" shows a statistically significant (p = 0.003) negative effect with a point estimate of -0.36, SE (0.12), 95% CI, -0.61 to -0.12.

Discussion

Despite its seemingly insignificant factors that affect the adherence rate, this meta-analysis reveals variation in adherence rate within the types of studies conducted, the methodology used to measure adherence, and for different antirheumatic drugs. Further research is needed to validate the findings of this meta-analysis before applying them to clinical practice and scientific research. In order to secure high reliability of adherence studies, compliance with available reporting guidelines for medication adherence research is more than advisable.

The impacts of undetected nonadherence in phase II, III and post-marketing clinical trials: An overview

AIMS

This research aims to provide an overview of the consequences of undiagnosed nonadherence (noninitiation, suboptimal implementation, nonpersistence) in randomized clinical trials (RCTs).

METHODS

This research was conducted by combining a literature review and qualitative semistructured interviews with key opinion leaders. Based on this groundwork, the consequences of undiagnosed nonadherence in RCTs were summarized and reported in a figure. This study focused on phases II, III and post-marketing in ambulatory settings across a variety of therapeutic areas and indications.

RESULTS

Various consequences of nonadherence in RCTs were investigated. In phase II, drug efficacy may be underestimated, variability in the outcomes may be high and a distorted picture of side effects could be reported, resulting in an uncertain impression of the investigational product's profile and complicating decision-making. The sponsor may need to increase the sample size of the upcoming phase III study to improve its power, representing additional costs, or even terminate the study. In phase III, similar phenomena may be observed, making demonstration of efficacy to the regulatory bodies more difficult. Lastly, after commercialization, a distortion in pharmacometrics may occur: the drug may underperform, prescriptions may be refilled less often than expected or extra expenses may be incurred by the payers. This can result in post-marketing dose reduction, new competitors coming into the market and, eventually, product withdrawal.

CONCLUSIONS

This research highlighted the many potential adverse consequences of undiagnosed nonadherence in RCTs, including additional costs. Collecting accurate data appeared to be crucial for decision-making throughout the drug development process.

Evaluation, analysis, and reporting of medication adherence for clinical trials of anticoagulants in children: guidance from the ISTH SSC Subcommittee on Pediatric and Neonatal Thrombosis and Hemostasis

In response to growing recognition that nonadherence prevents children, adolescents, and young adults from achieving the therapeutic benefits of anticoagulant medication, the International Society on Thrombosis and Haemostasis Scientific and Standardization Committee Subcommittee on Pediatric and Neonatal Thrombosis and Hemostasis convened a working party on medication adherence. The primary aim of this article was to synthesize recommendations from the larger adherence science literature to provide guidance regarding the classification, collection, and interpretation of anticoagulation adherence data. The secondary aim of this article was to evaluate the degree to which trials published from 2013 to 2023 adhered to these guidance recommendations. As less than half of all trials reported on adherence and none included all recommended elements, the proposed International Society on Thrombosis and Haemostasis Scientific and Standardization Committee guidance has the potential to enhance the rigor and reproducibility of pediatric anticoagulant research.

Physician and patient adherence in hypertension trials: a point of view on an important issue to resolve

INTRODUCTION

Randomized controlled trials (RCTs) are important sources of evidence that strongly influence guidelines for patient management, including for elevated blood pressure in adults.

AREAS COVERED

Critical questions regarding the interpretation of hypertension trial results have recently increased, especially for concerns over methodology. In particular, investigator adherence to the protocol and patient adherence to investigational drugs are often far from optimal. These issues may be ignored or underreported because physicians' behavior during trials is often not monitored and patients' medication adherence is neither measured adequately nor reported or analyzed in the final report or in the publication. This situation may lead to misinterpretations of study results and misevaluations of the safety and efficacy profile of new drugs. In this short review, the problem of measuring, reporting, and analyzing drug adherence in RCTs is discussed and illustrated with several examples in the field of hypertension.

EXPERT OPINION

The main conclusion is that drug adherence should always be measured in clinical trials, possibly with more than one method. In addition, prespecified analyses of adherence data should be included in the statistical plan of all trials to improve their overall quality.

Using a Semiautomated Procedure (CleanADHdata.R Script) to Clean Electronic Adherence Monitoring Data: Tutorial

BACKGROUND

Patient adherence to medications can be assessed using interactive digital health technologies such as electronic monitors (EMs). Changes in treatment regimens and deviations from EM use over time must be characterized to establish the actual level of medication adherence.

OBJECTIVE

We developed the computer script CleanADHdata.R to clean raw EM adherence data, and this tutorial is a guide for users.

METHODS

In addition to raw EM data, we collected adherence start and stop monitoring dates and identified the prescribed regimens, the expected number of EM openings per day based on the prescribed regimen, EM use deviations, and patients' demographic data. The script formats the data longitudinally and calculates each day's medication implementation.

RESULTS

We provided a simulated data set for 10 patients, for which 15 EMs were used over a median period of 187 (IQR 135-342) days. The median patient implementation before and after EM raw data cleaning was 83.3% (IQR 71.5%-93.9%) and 97.3% (IQR 95.8%-97.6%), respectively (Δ+14%). This difference is substantial enough to consider EM data cleaning to be capable of avoiding data misinterpretation and providing a cleaned data set for the adherence analysis in terms of implementation and persistence.

CONCLUSIONS

The CleanADHdata.R script is a semiautomated procedure that increases standardization and reproducibility. This script has broader applicability within the realm of digital health, as it can be used to clean adherence data collected with diverse digital technologies.

Translation of a Successful Behavioral Intervention to a Digital Therapeutic Self-Management System for Older Adults

Feature at a Glance: Nonadherence to hypertension medications is associated with negative health outcomes, which is of particular importance for older adults because of the high prevalence of hypertension in this population. To promote medication adherence among this group, we translated a behavioral intervention that improved adherence by 36% into a digital therapeutic self-management system. Design strategies included interviewing older adults, conducting usability evaluations after each iteration, and engaging a team of experts from nursing, cognitive psychology, pharmacy, human factors in aging, and software development. We outline our design process that can guide translation of other behavioral interventions into digital therapeutic platforms.

Psychometric assessment of the Adherence to Asthma Medication Questionnaire in asthma patients in China: a validation study

BACKGROUND

Patients' medication adherence plays a critical role in the treatment and rehabilitation of disease. However, few tools are currently available that can be used to identify the reasons for their nonadherence with their medication regimens. It is possible to evaluate both the level of medication adherence of a patient as well as the reasons for it using the Adherence to Asthma Medication Questionnaire (AAMQ). The purpose of this study was to adapt the AAMQ for use in Chinese patients and a variety of asthma patients.

METHODS

A total of 242 asthma patients were recruited from Jinzhou in China. The Adherence to Asthma Medication Questionnaire was translated and back-translated using the Brislin translation model. Test-retest reliability, internal consistency, and stability all play a large role in determining the reliability of a scale. Confirmatory factor analysis was used to examine the scale's construct validity, and expert consultation was used to verify the scale's content validity. Statistics were deemed significant at p < 0.05.

RESULTS

The Cronbach's α value of the Chinese version of the AAMQ was 0.866, and the coefficient values for the three domains ranged between 0.702 and 0.798. The split-half reliability and stability values were 0.794 and 0.772, respectively. The content validity index of the scale (S-CVI) was 0.923, and the content validity index of the level of scale entry was 0.857-1.000. According to the confirmatory factor analysis, the chi-square degreed of freedom were 1.484, and the model fitting indices were all within normal limits.

CONCLUSIONS

The AAMQ had good reliability and validity for asthmatic patients. The results of the scale's assessment can be used as a criterion for medication adherence among asthmatic patients and to understand the causes. This study provides a reference for solving the problem of medication adherence among asthma patients and implementing targeted nursing measures.

PATIENT OR PUBLIC CONTRIBUTION

Gratitude is extended to all individuals collaborating in completing the survey and to the author.

Improved Pharmacokinetic and Pharmacodynamic Profile of Deuterium-Reinforced Tricyclic Antidepressants Doxepin, Dosulepin, and Clomipramine in Animal Models

BACKGROUND AND OBJECTIVES

Doxepin, dosulepin, and clomipramine are tricyclic antidepressants (TCAs) that act as serotonin and noradrenaline reuptake inhibitors. The metabolites formed by N-dealkylation of these tricyclic antidepressants contribute to overall poor pharmacokinetics and efficacy. Deuteration of the methyl groups at metabolically active sites has been reported to be a useful strategy for developing more selective and potent antidepressants. This isotopic deuteration can lead to better bioavailability and overall effectiveness. The objective is to study the effect of site-selective deuteration of TCAs on their pharmacokinetic and pharmacodynamic profile by comparison with their nondeuterated counterparts.

METHODS

In the current study, the pharmacokinetic profile and antidepressant behavior of deuterated TCAs were evaluated using the forced swim test (FST) and tail suspension test (TST), using male Wistar rats and male Swiss albino mice, respectively; additionally, a synaptosomal reuptake study was carried out.

RESULTS

Compared with the nondeuterated parent drugs, deuterated forms showed improved efficacy in the behavior paradigm, indicating improved pharmacological activity. The pharmacokinetic parameters indicated increased maximum concentration in the plasma (Cmax), elimination half-life (t1/2), and area under the concentration-time curve (AUC)  in deuterated compounds. This can have a positive clinical impact on antidepressant treatment. Synaptosomal reuptake studies indicated marked inhibition of the reuptake mechanism of serotonin (5-HT) and norepinephrine.

CONCLUSIONS

Deuterated TCAs can prove to be potentially better molecules in the treatment of neuropsychiatric disorders as compared with nondeuterated compounds. In addition, we have demonstrated a concept that metabolically active, site-selective deuteration can be beneficial for improving the pharmacokinetic and pharmacodynamic profiles of TCAs. A further toxicological study of these compounds is needed to validate their future clinical use.

The Importance of Assessing Drug Exposure and Medication Adherence in Evaluating Investigational Medications: Ensuring Validity and Reliability of Clinical Trial Results

The objective of this current opinion paper is to draw global attention to medication adherence, emphasizing its crucial role in drug trials. Frequently, trialists lean on traditional approaches to assess medication adherence, which, while comfortable, may only reveal what trialists desire rather than offering the essential insights needed for informed decision making in drug development. Understanding drug exposure and medication adherence is paramount when evaluating the effectiveness and safety of investigational medications. Without a comprehensive understanding of how patients adhere to their prescribed treatment regimens, the integrity and dependability of clinical trial results can be compromised. This paper emphasizes the need for measures that accurately and reliably assess medication intake behaviors, enabling the differentiation between minor dosing errors and significant deviations that may impact the drug's efficacy and safety. Accurate knowledge of drug exposure empowers researchers to make informed decisions, identify potential confounding factors, and appropriately interpret study outcomes, ultimately ensuring the validity and reliability of the research findings. By prioritizing drug exposure assessment and medication adherence measurement, clinical trials can enhance their scientific rigor, contribute to more accurate evaluations of investigational medications, and ultimately speed up the development process.

Pairwise comparisons of three medication adherence outcomes in adolescents who use alcohol

BACKGROUND

Accurate assessment of medication adherence is important for understanding pharmacotherapy outcomes across all phases of adolescent substance use disorder (SUD) clinical trials. The objective of this study was to describe and assess the pairwise concordance between three commonly used non-biological medication adherence assessment methods in adolescents who use alcohol to inform the selection of medication adherence measures for use in future youth SUD trials.

METHODS

Participants (N = 32, 17-19-years-old) took N-acetylcysteine and placebo, in a randomized cross-over design, for 10 days each. Medication adherence was assessed (20 days total) via pill count, medication videos submitted twice daily, and the Medication Event Monitoring System (MEMS®). Lin's Concordance Correlation Coefficient (CCC) assessed concordance and Bland-Altman plots are reported. Linear mixed-effects models with main effects of medication, treatment block (first medication, second medication), and sequence were also run.

RESULTS

Medication videos yielded the lowest (64%) and pill count yielded the highest (89%) adherence estimates. CCC values indicated poor correspondence, except between pill count and MEMS. The Bland-Altman plots showed good pairwise agreement between all methods. Linear mixed-effects models indicated a difference between the first and second cross-over medication, with adherence estimates being lower for the second medication, regardless of whether it was N-acetylcysteine or placebo.

CONCLUSIONS

The study yielded important and practical information. First, incorporating more than one method of adherence assessment may capture estimated floor and ceiling adherence in the absence of a biological marker. This is particularly relevant for remote or hybrid studies where bio-marker collection is challenging. Selection of the assessment methods will depend on study goals. Second, the continuation of medication adherence research can benefit each phase of clinical trials and inform rigorous pharmacotherapy evaluation.

Cranberry Supplements for Urinary Tract Infection Prophylaxis in Pregnant Women: A Systematic Review of Clinical Trials and Observational Studies on Efficacy, Acceptability, Outcomes Measurement Methods, and Studies' Feasibility

Cranberry supplements are commonly used to prevent urinary tract infections (UTIs). However, their usefulness is uncertain in pregnant women. We aimed to comprehensively summarize the current knowledge on cranberry supplements' efficacy and acceptability during pregnancy in addition to the outcomes measurement methods and studies' feasibility. To achieve it, we searched PubMed, PMC, and Europe PMC databases plus screened citations followed by critical appraisal of included eligible English-written primary studies that (1) focused on pregnant women supplemented with any cranberry supplements; (2) provided data on cranberry supplements' efficacy, acceptability, outcomes measurement methods, and studies' feasibility; (3) included human subjects; and (4) published worldwide. Two randomized clinical trials (RCTs) and one nested cohort study, including 1156 pregnant women in total, contributed to our analysis. A tendency toward UTI reduction was demonstrated, although the results' validity was impacted by significant juice-induced gastrointestinal intolerance (23%; 44 of 188 subjects). Changing the form of supplementation from cranberry juice to capsules reduced the issue, causing side effects in one of 49 subjects (2%). Nevertheless, both RCTs still experienced significant recruitment and retention problems, which were at 33% and 59% on average, respectively. Newly acquired safety data on 919 more subjects suggests no increased risks of all malformations, vaginal bleeding, and neonatal complications. Investigating cranberry capsules' efficacy as a non-antibacterial option for UTI prevention in pregnant women has become a feasible and important direction with the current advancement in understanding cranberry supplements' actions, recommended doses plus regimens, and their safety in the population. We reviewed the challenges and discovered knowledge gaps and the implementation strategies for future studies.

Exploration of smart adherence-monitoring methods in vitamin D-deficient patients: A pilot feasibility clinical study

Treatment adherence is an underestimated determinant of treatment success. Poor treatment adherence can also affect the efficacy of clinical trials. A combination of multiple adherence-monitoring methods is required to ensure robustness. We investigated whether multiple adherence-monitoring methods, including a novel smartwatch-based monitoring method, would yield reliable and concordant results. In this open, randomized, decentralized clinical trial, vitamin D-deficient individuals were randomized to an App - only group (an electronic medication diary) or an App + Watch group (i.e., App and smartwatch-based monitoring) groups after a week run-in period. The participants received vitamin D supplements (1000 IU) for 12 weeks (two consecutive periods of 6 weeks) with two pill counts (at the sixth week) and biweekly blood samplings for serum 25(OH) vitamin D concentration. Adherence was assessed and compared between the methods. Sixteen participants were enrolled, of which 13 completed the study. Serum 25(OH) vitamin D levels comparably increased in both groups until the first 7 weeks but trended higher in the App + Watch group in the second period. The number of doses recorded by the pill count and App did not differ significantly between the run-in and Period 1 (p = 0.5534) but became significantly discrepant in Period 2 (p = 0.0225). In contrast, the concordance for smartwatch-based monitoring was consistent in either period (p = 0.5898 and p = 0.5839, respectively). We explored multiple adherence-monitoring methods in this pilot feasibility clinical study. Smartwatch-based adherence monitoring may be an objective and sensitive method for measuring treatment adherence.

Psychometric Properties of the BAASIS: A Meta-analysis of Individual Participant Data

BACKGROUND

Nonadherence to immunosuppressives, a risk factor for poor posttransplant outcomes, can be assessed by self-report using the Basel Assessment of Adherence to Immunosuppressive Medications Scale (BAASIS). Available in written and interview versions, and previously validated on content, the BAASIS is widely used in research and clinical practice. The aim of this study was to investigate its psychometric properties.

METHODS

Using a literature search and our BAASIS database, this meta-analysis identified completed studies in adult transplant recipients whose data were usable to examine the BAASIS' reliability and 3 validity aspects: (1) relationships with other variables (electronic monitoring, other self-report scales, tacrolimus blood-level variability, collateral report, depressive symptoms, psycho-behavioral constructs, and interventions); (2) response processes; and (3) internal structure. Testing used random-effects logistic regressions.

RESULTS

Our sample included 12 109 graft recipients from 26 studies. Of these 26, a total of 20 provided individual participant data. Evidence of the BAASIS' stability over time supports its reliability. Validity testing of relationships with other variables showed that BAASIS-assessed nonadherence was significantly associated with the selected variables: electronically monitored nonadherence ( P < 0.03), other self- and collaterally-reported nonadherence ( P < 0.001), higher variability in tacrolimus concentrations ( P = 0.02), higher barriers ( P < 0.001), lower self-efficacy ( P < 0.001), lower intention ( P < 0.001), and higher worries ( P = 0.02). Nonadherence also decreased after regimen change interventions ( P = 0.03). Response process evaluation indicated good readability and slightly higher nonadherence with the written version. Structurally, items on taking and timing shared variability.

CONCLUSIONS

The BAASIS shows good validity and reliability as a self-report instrument to assess medication nonadherence in transplantation.

Measurement Tools and Utility of Hair Analysis for Screening Adherence to Antihypertensive Medication

Poor adherence to the prescribed antihypertensive therapy is an understated public health problem and is one of the main causes of the high prevalence of uncontrolled hypertension in sub-Saharan Africa. Medication adherence is vital for the effectiveness of antihypertensive treatment and is key to ameliorating the clinical outcomes in hypertensive patients. However, it has often been ignored because the current methods used to assess medication adherence are not reliable, limiting their utilization in clinical practice. Therefore, the identification of the most accurate and clinically feasible method for measuring medication adherence is critical for tailoring effective strategies to improve medication adherence and consequently achieve blood pressure goals. This review not only explores various available methods for estimating medication adherence but also proposes therapeutic drug monitoring in hair for the measurement of medication adherence to the antihypertensive medication period.

Medication Adherence Measurement Methods in Registration Trials Supporting the Approval of New Medicines: A Cross-Sectional Analysis of Centralized Procedures in the European Union 2010-2020

Medication adherence is a key factor impacting efficacy and safety of medicines, yet how it is dealt with in European registration trials is unknown. A cross-sectional analysis of European Medicines Agency (EMA) marketing authorization dossiers for new medicines approved through centralized procedures in the European Union between 2010 and 2020 was performed. Data were extracted from European Public Assessment Reports and Clinical Study Reports. Clinical trials covering five therapeutic areas were included: diabetes, respiratory conditions, cardiovascular diseases, infectious diseases, and oncology. Outcomes included adherence assessment, measurement methods, and rates. Overall, 102 medicines studied in 253 clinical trials were reviewed. All but one study reported measuring adherence. Two hundred twenty trials (87%) measured adherence using quantitative methods, while 32 (13%) trials monitored adherence but did not further quantify. Reported adherence rates were high (> 90%) across trials yet marked disparities in measurement methods and definitions were found. The most frequently used adherence measurement method was pill/dose count (single method: 52.7%; in combination: 37.7%; with patient diary/report: 17.3%; electronic methods: 1.4%; bioanalytical methods: 4.1%). Patient diary/report (6.4%) and electronic methods (2.7%) were also used as single methods. Electronic methods were more often used in respiratory and anti-infective trials, while bioanalytical methods were more frequently used in diabetes. Overall, adherence is measured in EMA registration trials, yet the methods used and the way in which adherence rates are presented vary widely between trials and therapeutic areas. To better understand and compare efficacy of medicines, standardization of adherence definitions and measurement methods is needed.

An allopurinol adherence tool using plasma oxypurinol concentrations

AIMS

This study aimed to develop and evaluate an allopurinol adherence tool based on steady-state oxypurinol plasma concentrations, allopurinol's active metabolite.

METHODS

Plasma oxypurinol concentration were simulated stochastically from an oxypurinol pharmacokinetic model for allopurinol doses of 100-800 mg daily, accounting for differences in renal function, diuretic use, and ethnicity. For each scenario, the 20^th percentile for peak and trough concentrations defined the adherence threshold, below which imperfect adherence was assumed. Predictive performance was evaluated using both simulated low adherence and against data from 146 individuals with paired oxypurinol plasma concentrations and adherence measures. Sensitivity and specificity (S&S), negative and positive predictive values (NPV, PPV) and receiver operating characteristic (ROC) area under the curve (AUC) were determined. The predictive performance of the tool was evaluated externally using RESULTS: The allopurinol adherence tool produced S&S values for trough thresholds of 89-98% and 76-84%, respectively, and 90%-98% and 76-83% for peak thresholds. PPV and NPV were 79-84% and 88-94% respectively for trough and 80-85% and 89-98% for peak concentrations. The ROC AUC values ranged from 0.84-0.88 and 0.86-0.89 for trough and peak concentrations, respectively. S&S values for the external evaluation were found to be 75.8% and 86.5%, respectively, producing a ROC AUC of 0.8113.

CONCLUSION

A tool to identify people with gout who require additional support to maintain adherence using plasma oxypurinol concentrations was developed and evaluated. The predictive performance of the tool is suitable for adherence screening in clinical trials and may have utility in some clinical practice settings.

Accountability in reminder-based adherence interventions: A review

OBJECTIVE

Interventions to elicit accountability capitalize on social behaviors to improve adherence but are distinct from reminders. However, little is known about the impact of accountability in reminder-based adherence interventions. Through a literature review, we aim to identify the frequency and effectiveness of accountability in reminder-based intervention studies.

METHODS

PubMed and PsycArticles were searched for reminder-based adherence studies. Articles were categorized as reminder-only or reminder with accountability studies. Studies were characterized by outcome measures, and differences between control and intervention groups were compared for studies that used electronic monitoring devices.

RESULTS

165 studies met the inclusion criteria; 154 used reminders without accountability (93%). 79 of the 154 reminder-only studies (51%) improved adherence in intervention groups compared to controls. Eleven of the 165 studies (6.6%) included an accountability aspect. The intervention group had better adherence than controls in 10 out of the 11 reminder with accountability studies (91%).

CONCLUSIONS

Although distinct from reminders, accountability can be incorporated in reminder-based interventions. However, it is not commonly included in reminder-based interventions.

PRACTICE IMPLICATIONS

It is important to consider accountability's effects on encouraging patient medication adherence. The addition of accountability interventions may further boost adherence, but few studies currently incorporate these types of interventions.

Parent-administered pediatric tuina for the treatment of attention deficit hyperactivity disorder symptoms: Process evaluation of a pilot randomized controlled trial

BACKGROUND

A pilot randomized controlled trial (RCT) was conducted in mainland China to examine the feasibility, acceptability, and preliminary effects of parent-administered pediatric tuina on attention deficit hyperactivity disorder (ADHD) symptoms in preschool children. An embedded process evaluation was performed to explore barriers and facilitators in the implementation, identify additional questions, and refine the study design for a future fully powered study.

METHODS

The process evaluation comprises the following parts: (a) self-reported questionnaires on parents (n = 43), traditional Chinese medicine (TCM) practitioners (n = 2), outcome assessor (n = 1), and research assistant (n = 1); (b) parent logbook on parent-administered pediatric tuina (n = 32); and (c) focus group interview sessions (n = 15). Accomplishment of the self-report questionnaires was voluntary for all participants and compulsory for research personnel and TCM practitioners. The parent logbook on the intervention was filled out by all participants in the intervention group. Participants of focus group interviews were selected via purposive sampling, and data were analyzed with template analysis. Qualitative findings were summarized in tables, while the mean was calculated to reflect the quantitative findings.

RESULTS

Perceived benefits, acceptability of parents and children, and professional support from the research team facilitated the implementation of the intervention. Meanwhile, the TCM pattern identification using online mode may limit the accuracy and lead to parents doubting the precision of the TCM pattern. This limitation was regarded as a major barrier. Parents perceived improvements in terms of children's appetite, sleep quality, and parent-child relationship. Participants were generally satisfied with the settings of parent-administered pediatric tuina and showed satisfactory adherence to the implementation.

CONCLUSIONS

Implementation of parent-administered pediatric tuina intervention is feasible and acceptable. The intervention can be refined by improving the TCM pattern identification procedure and adjusting outcome settings in a fully powered study in the future.

Electronically monitored medication adherence in idiopathic pulmonary fibrosis: prevalence, predictors and outcomes

Medication adherence studies in idiopathic pulmonary fibrosis (IPF) are limited, use cross-sectional designs and report discontinuation rates.

We prospectively investigated adherence to pirfenidone in IPF patients using electronic monitoring, which provides insights on whether and when the medication was taken on a day-by-day basis. We investigated the impact of nonadherence on lung function and selected predictors for nonadherence based on the COM-B behavioural model. The longitudinal statistical analyses included generalised estimation equations and linear mixed effects models.

55 patients initiating pirfenidone were followed-up for 2 years after diagnosis (76.4% men, mean age 71.1 years (range 50–87 years), mean forced vital capacity (FVC) 88% predicted (sd 18.3), mean diffusing capacity of the lung for carbon monoxide (D_LCO) 58.1% predicted (sd 14.7)). Our data showed an association (p=0.03) between the proportion of days with three pirfenidone intakes (i.e. dosing adherence) and FVC % predicted, whereby a high dosing adherence seemed necessary to maintain stable or improving FVC % predicted values. 58.2% of the participants were able to implement at least 90% correct dosing days, yet adherence significantly decreased over time. Too short dosing intervals had negative effects on lung function outcomes. Knowledge on IPF and self-reported adherence were significantly associated with electronically measured adherence.

In conclusion, nonadherence is prevalent and might negatively affect lung function. Further research is needed on the impact of nonadherence on outcomes and its predictors, so that tailored interventions can be developed. Meanwhile, a self-report questionnaire could be used to identify adherence issues and teams should equip patients with knowledge about their treatment and how to take it.

This study used electronic monitoring systems for the first time in IPF patients to assess taking and timing of pirfenidone. Medication nonadherence is a prevalent issue that increases over time and is associated with patients’ lung function outcomes.https://bit.ly/3wEFUlq

Promoting Adherence to Iron Chelation Treatment in Beta-Thalassemia Patients

Thalassaemia is one of the commonest inherited genetic disorders world-wide with around 25,000 births of the most severely affected transfusion dependent children annually. Patients with transfusion dependent thalassaemia require regular blood transfusions to maintain life but because of this will develop iron overload. To remove the excess iron, patients are required to take iron chelation therapy (ICT). ICT requires lifelong adherence to treatment to prevent end organ damage from developing. Many of these preventable complications make adherence to therapy more complex for patients. In this review, we focus on two commonly encountered patient scenarios and discuss how different psychological models and a relational theory can be used to understand and support adherence to treatment.

Patient-Reported Outcomes as Endpoints in Clinical Trials of Kidney Transplantation Interventions

Patient-reported outcomes (PROs) that assess individuals' perceptions of life participation, medication adherence, disease symptoms, and therapy side effects are extremely relevant in the context of kidney transplantation. All PROs are potentially suitable as primary or secondary endpoints in interventional trials that aim to improve outcomes for transplant recipients. Using PRO measures (PROMs) in clinical trials facilitates assessment of the patient's perspective of their health, but few measures have been developed and evaluated in kidney transplant recipients; robust methodologies, which use validated instruments and established frameworks for reporting, are essential. Establishing a core PROM for life participation in kidney transplant recipients is a critically important need, which is being developed and validated by the Standardized Outcomes in Nephrology (SONG)-Tx Initiative. Measures involving electronic medication packaging and smart technologies are gaining traction for monitoring adherence, and could provide more robust information than questionnaires, interviews, and scales. This article summarizes information on PROs and PROMs that was included in a Broad Scientific Advice request on clinical trial design and endpoints in kidney transplantation. This request was submitted to the European Medicines Agency (EMA) by the European Society for Organ Transplantation in 2016. Following modifications, the EMA provided its recommendations in late 2020.

The value of adherence information during clinical pharmaceutical trials

BACKGROUND/AIMS

The quality of the evidence used to evaluate a drug's safety and efficacy depends, in part, on how well participants adhere to the prescribed drug-taking regime. There are multiple approaches to measure adherence in clinical trials, varying in their cost and accuracy. We demonstrate a method for evaluating the cost-effectiveness of common adherence monitoring methods, considering the costs and data quality for drugs that differ in how forgiving they are of nonadherence.

METHODS

We propose a simulation approach to estimate the value of evidence about adherence, considering both costs of collection and potential errors in interpreting clinical trial results. We demonstrate the approach with a simulated clinical trial of nitrendipine, a common calcium channel blocker. We consider two trial designs, one using pretrial adherence to "enrich" the trial sample and one without an enrichment strategy. We use scenarios combining high and low values of two key properties of a clinical trial: participant adherence and drug forgiveness.

RESULTS

Under the conditions of these simulations, the most cost-effective adherence monitoring approach depends on both trial participant adherence and drug forgiveness. For example, the enrichment strategy is not cost-effective for the base scenario (high forgiveness and high adherence), but is for other scenarios. We also estimate the effects of evaluable patient analysis, a controversial procedure that excludes nonadherent participants from the analyses, after a trial is completed.

CONCLUSIONS

Our proposed approach can guide drug regulators and developers in designing efficient clinical trials and assessing the impact of nonadherence on trial results. It can identify cost-effective adherence-monitoring methods, given available knowledge about the methods, drug, and patients' expected adherence.

The rates and measurement of adherence to acamprosate in randomised controlled clinical trials: A systematic review

AIM

The current research aims to systematically review the rates of adherence reported in randomised controlled clinical trials of acamprosate. It also sought to determine the reliability of the adherence monitoring and measurement methods used in these trials.

METHODS

The protocol for this review was pre-registered (PROSPERO: CRD42021230011). A search of the literature was conducted using OVID MEDLINE, Embase and PsycINFO from database inception to January 2021. Randomised controlled trials with a minimum sample size of 10 per treatment arm that compared the efficacy of acamprosate with placebo or other active medication in adults with a diagnosis of alcohol dependence were included. Data on rates of adherence, methods of measurement and monitoring of adherence was extracted from eligible studies independently in duplicate by two reviewers. A weighted mean adherence rate was calculated. The reliability of adherence monitoring methods was determined by calculating an adherence-assurance score based on the adherence monitoring method used. Risk of bias was assessed using the Cochrane Risk of Bias Tool.

RESULTS

Fifteen studies met the eligibility criteria involving 4,450 participants (2,480 participants in the placebo arms). A mean adherence rate of 88% (54.2-95.0%) was reported across studies that reported the percentage of medication taken. A mean adherence rate of 84.9% (56.4-91.3%) was reported for trials that reported the percentage of participants taking more than 80% of medication prescribed. There is low confidence in the methods used to monitor adherence with all clinical trials having a low adherence-assurance rating. Risk of bias was judged to be high for all included studies.

CONCLUSIONS

Adherence to acamprosate in clinical trials can be poor with low confidence in the methods used to measure it. Adherence rates therefore might not be accurate, which has implications for determining the efficacy of acamprosate.

Adherence to Analgesics Among Outpatients Seriously Ill With Cancer

BACKGROUND

Adherence to prescribed analgesics for patients seriously ill with cancer pain is essential for comfort.

OBJECTIVE

The objective of this study was to determine the analgesic adherence in seriously ill patients with cancer and its association with clinical and demographic characteristics.

METHODS

This is a cross-sectional study. At home, 202 patients with cancer (mean age, 59.9 ± 14.2 years; 58% female, 48% Black, and 42% White) admitted to hospice/palliative care completed measures on a pen tablet: PAIN Report It, Symptom Distress Scale, mood state item, Pittsburgh Sleep Quality Index item, and Pain Management Index.

RESULTS

The mean current pain intensity was 4.4 ± 2.9, and the mean worst pain in the past 24 hours was 7.2 ± 2.7. More than one-half of participants were not satisfied with their pain level (54%) and reported their pain was more intense than they wanted to tolerate for 18 hours or longer in the last 24 hours (51%). Only 12% were not prescribed analgesics appropriate for the intensity of their pain. Adherence rates were variable: nonsteroidal anti-inflammatory drugs (0.63 ± 0.50), adjuvants (0.93 ± 0.50), World Health Organization step 2 opioids (0.63 ± 0.49), and step 3 opioids (0.80 ± 0.40). With setting/clinical/demographic variables in the model, dose intervals of less than 8 hours were associated with less adherence ( P < .001).

CONCLUSION

Little progress has been made toward improving analgesic adherence even in settings providing analgesics without cost. Research focused on targeting analgesic dose intervals and barriers not related to cost is needed.

IMPLICATION FOR PRACTICE

Dose intervals of 8 hours or longer were significantly associated with higher adherence rates; therefore, use of longer-acting analgesics is one strategy to improve pain control at the end of life.

A Critical Review of Medication Adherence in Hypertension: Barriers and Facilitators Clinicians Should Consider

Hypertension is a global public health problem, and its prevalence is increasing worldwide. Impacting all human societies and socioeconomic strata, it remains the major modifiable risk factor for global burden of cardiovascular disease all-cause mortality and the leading cause of loss of disability-adjusted life years. Despite increased awareness, the rate of blood pressure control remains unsatisfactory, particularly in low- to middle-income countries. Apparent treatment-resistant hypertension is associated with worse adverse health outcomes. It includes both true resistant and pseudo-resistant hypertension, which requires out-of-office blood pressure monitoring to exclude white-coat effect and confirmation of adherence to the agreed recommended antihypertensive therapy. The depth of medication non-adherence remains poorly recognized among medical practitioners, thus presenting an underestimated modifiable risk factor. Medication non-adherence is a complex and multidimensional variable with three quantifiable phases: initiation, implementation, and discontinuation, collectively called persistence. Non-adherence can be both intentional and non-intentional and usually involves several interconnected factors. Persistence declines over time in the treatment of chronic diseases like hypertension. The risk is higher in patients with new diagnosis, poor insurance status, polypharmacy, and multiple comorbidities, particularly psychiatric disorders. The World Health Organization divides the contributing factors impacting adherence into five categories. Screening and detection for medication non-adherence are challenging due to its dynamic nature and potential white-coat effect. Easy-to-conduct screening methods have low reliability and validity, whereas more reliable and valid methods are costly and difficult to perform. Medication non-adherence is associated with poor clinical outcome and potential negative impact on health-care costs. Evaluation of adherence should become an integral part of assessment of patients treated for hypertension. Medication adherence can significantly improve with a patient-centered approach, non-judgmental communication skills, and collaborative multidisciplinary management, including engagement of the patients in their care by self-blood pressure monitoring.

Association between adherence to oral therapies in cancer patients and clinical outcome: A systematic review of the literature

AIMS

Adherence to therapy is a key factor in successful treatment. The aim of this systematic review is to assess the extent to which patients with better adherence to oral therapy have better clinical outcomes among cancer patients.

METHODS

All studies published in PubMed up to 20 October 2020, which considered the use of oral anticancer drugs for cancer patients and which correlated treatment adherence with a clinical outcome, were considered.

RESULTS

From the 42 studies considered in the systematic review, 14 were for oncological indications and 28 for haematological indications. There was considerable variance in calculation methods, outcomes considered, and in the definitions of adherence. However, it emerged that most studies reported a significant correlation between adherence to therapy and clinical outcome.

CONCLUSION

As adherence to therapy is a key factor in achieving a better clinical outcome, future studies with large samples, robust endpoints and the use of at least two methods of assessing adherence would be desirable in order to produce more robust evidence.

A Novel Digital Pill System for Medication Adherence Measurement and Reporting: Usability Validation Study

Background

Medication nonadherence is a costly problem that is common in clinical use and clinical trials alike, with significant adverse consequences. Digital pill systems have proved to be effective and safe solutions to the challenges of nonadherence, with documented success in improving adherence and health outcomes.

Objective

The aim of this human factors validation study is to evaluate a novel digital pill system, the ID-Cap System from etectRx, for usability among patient users in a simulated real-world use environment.

Methods

A total of 17 patients with diverse backgrounds who regularly take oral prescription medications were recruited. After training and a period of training decay, the participants were asked to complete 12 patient-use scenarios during which errors or difficulties were logged. The participants were also interviewed about their experiences with the ID-Cap System.

Results

The participants ranged in age from 27 to 74 years (mean 51 years, SD 13.8 years), and they were heterogeneous in other demographic factors as well, such as education level, handedness, and sex. In this human factors validation study, the patient users completed 97.5% (196/201) of the total use scenarios successfully; 75.1% (151/201) were completed without any failures or errors. The participants found the ID-Cap System easy to use, and they were able to accurately and proficiently record ingestion events using the device.

Conclusions

The participants demonstrated the ability to safely and effectively use the ID-Cap System for its intended use. The ID-Cap System has great potential as a useful tool for encouraging medication adherence and can be easily implemented by patient users.

Research approaches for evaluating opioid sparing in clinical trials of acute and chronic pain treatments: Initiative on Methods, Measurement, and Pain Assessment in Clinical Trials recommendations

ABSTRACT

Randomized clinical trials have demonstrated the efficacy of opioid analgesics for the treatment of acute and chronic pain conditions, and for some patients, these medications may be the only effective treatment available. Unfortunately, opioid analgesics are also associated with major risks (eg, opioid use disorder) and adverse outcomes (eg, respiratory depression and falls). The risks and adverse outcomes associated with opioid analgesics have prompted efforts to reduce their use in the treatment of both acute and chronic pain. This article presents Initiative on Methods, Measurement, and Pain Assessment in Clinical Trials (IMMPACT) consensus recommendations for the design of opioid-sparing clinical trials. The recommendations presented in this article are based on the following definition of an opioid-sparing intervention: any intervention that (1) prevents the initiation of treatment with opioid analgesics, (2) decreases the duration of such treatment, (3) reduces the total dosages of opioids that are prescribed for or used by patients, or (4) reduces opioid-related adverse outcomes (without increasing opioid dosages), all without causing an unacceptable increase in pain. These recommendations are based on the results of a background review, presentations and discussions at an IMMPACT consensus meeting, and iterative drafts of this article modified to accommodate input from the co-authors. We discuss opioid sparing definitions, study objectives, outcome measures, the assessment of opioid-related adverse events, incorporation of adequate pain control in trial design, interpretation of research findings, and future research priorities to inform opioid-sparing trial methods. The considerations and recommendations presented in this article are meant to help guide the design, conduct, analysis, and interpretation of future trials.

Antipsychotic nonadherence measured by electronic adherence monitoring in stabilized chronic schizophrenia: Clinical implications

BACKGROUND

There have been a number of studies investigating antipsychotic adherence measured by electronic adherence monitoring (EAM) in patients with schizophrenia. However, no study has looked at overall adherence and both baseline and endpoint illness/symptom severity.

METHODS

We performed a secondary analysis of our previous study to examine antipsychotic adherence, as measured by EAM, and illness/symptom severity at baseline and endpoint in patients with schizophrenia. Adherence rates were defined as the proportion of adherent days over 3 months. Adherent days were defined as the subject having taken the medication at the prescribed time, with 2 tolerance margins operationally defined i.e., ±3 h and ±12 h. In addition, a dichotomous version of adherence was defined i.e., if he/she was adherent greater than 80% of the days. Illness severity and symptom severity were assessed using the Brief Psychiatric Rating Scale (BPRS) total score and the Clinical Global Impression - Severity of illness (CGI-S) scale score, respectively.

RESULTS

A total of 111 patients were enrolled in the study. Neither continuous or dichotomous adherence rates were significantly associated with baseline or endpoint illness/symptom severity (all Ps ≥ 0.05). The results remained unchanged when adjusting for clinico-demographic characteristics.

CONCLUSION

Antipsychotic adherence, as measured by EAM, was not associated with illness/symptom severity at baseline and endpoint in patients with chronic schizophrenia, whose clinical status and adherence pattern were stabilized. This suggests that individuals may be able to achieve clinical stability in the face of maintenance antipsychotic treatment despite variations in adherence.

Adherence is a key factor for interpreting the results of exercise interventions

Adherence may be an important factor to consider when interpreting the results of an exercise intervention. This article will discuss the importance of measuring and reporting adherence to exercise interventions that are designed to improve targeted health outcomes. Additionally, we will propose and describe a universal method to measure and report adherence to exercise interventions.

Factors affecting adherence with treatment advice in a clinical trial of patients with severe asthma

Background

Understanding why patients with severe asthma do not follow healthcare provider (HCP) advice to adjust treatment is critical to achieving personalised disease management.

Methods

We reviewed patient choice to follow HCP advice to adjust asthma treatment in a UK-based randomised, controlled, single-blind (study participant), multicentre, parallel group 48-week clinical study comparing biomarker-directed treatment adjustment with standard care in severe asthma.

Results

Of 1572 treatment advisories (291 participants), instructions were followed in 1377 cases (87.6%). Patients were more likely to follow advice to remain on treatment (96.7%) than to either reduce (70.3%) or increase (67.1%) their treatment, with 64% of patients following all treatment advice. Multivariate analysis associated belonging to an ethnic minority group (OR 3.10, 95% CI 1.68–5.73) and prior study medication changes (two or more changes: OR 2.77, 95% CI 1.51–5.10) with failure to follow treatment advice. In contrast, emergency room attendance in the prior year (OR 0.54, 95% CI 0.32–0.92) was associated with following treatment advice. The largest effect was seen with transition onto or off oral corticosteroids (OR 29.28, 95% CI 16.07–53.36) when compared with those requested to maintain treatment. Centre was also an important determinant regarding the likelihood of patients to follow treatment advice.

Conclusions

Belonging to an ethnic minority group and multiple prior treatment adjustments were associated with not following HCP treatment advice. Patients also responded differently to HCP advice across UK specialist centres. These findings have implications for the generalisability of models of care in severe asthma and require further focused studies.

Belonging to a minority ethnic group, multiple prior medication changes, being treated at a specific clinical centre, introduction of systemic corticosteroids and increased asthma symptoms were associated with resistance to asthma treatment modificationhttps://bit.ly/3gYb66S

Use of an electronic medication monitoring device to estimate medication adherence in kidney transplant patients

Electronic medication monitoring devices (EMD) have been used as a gold standard for assessing medication adherence. We used a wireless EMD (SimpleMed+), assessed its usability in patients after kidney transplantation (KTx), evaluated adherence, and analyzed concordance with other adherence measures. Fifty-five patients (53% female, mean age 46 years) at least 6 months after KTx agreed to use the EMD over a period of 8 weeks. Self-reported adherence was measured with the BAASIS, and immunosuppressant trough level variability was assessed prior to and again during the study period. Fourteen patients stopped using the EMD or were low users (<70%). These non-completers reported that using the EMD would interfere with their daily activities. Taking-adherence of the completers was high with 98.3% (±1.9) over the entire study period. Timing-adherence was somewhat lower (94.6% ± 7.9) and decreased during the second half of the study. We found statistically significant correlations between EMD results and self-reported adherence with moderate effect sizes, but no significant association with trough level variability. The low usage of the EMD supports the need to assess the practicability of an EMD before applying it in research and clinical routine. Taking- and timing-adherence of KTx patients using the EMD was satisfactory. Self-reported adherence might be a good enough estimate of medication adherence.

Empowering clinical research in a decentralized world

The COVID-19 pandemic has been a catalyst for the implementation of decentralized clinical trials (DCTs) enabled by digital health technologies (DHTs) in the field while curtailing in-person interactions and putting significant demands on health care resources. DHTs offer improvements in real-time data acquisition remotely while maintaining privacy and security. Here, we describe the implications of technologies, including edge computing, zero-trust environments, and federated computing in DCTs enabled by DHTs. Taken together, these technologies—in the setting of policy and regulation that enable their use while protecting the users—extend the scope and accelerate the pace of clinical research.

A novel EyePhone© App for improving adherence to glaucoma therapy

PURPOSE

Despite advances in glaucoma treatment options, patient adherence and compliance remain very low. The EyePhone© App is a free non-commercial reminder application designed specifically for the needs of glaucoma patients. In this study, we evaluated its usefulness in improving adherence to medical treatment among glaucoma patients.

METHODS

This is a prospective multicenter interventional study. Glaucoma patients were recruited from a tertiary center and a large community glaucoma service center. After a short explanation, the EyePhone© App was installed on their smartphone device, and the notifications for the current medical treatment were entered. After enrollment and at 1-month follow-up, subjects completed the Morisky Medication Adherence Scale (MMAS-8) and the Quality of Life and Glaucoma 17-item (GlauQOL-17) questionnaires for evaluation of adherence and QOL, respectively.

RESULTS

In the study, 133 patients (71 men and 62 women) aged 62±15.5 years and using 2.0±0.9 IOP-lowering drugs participated. The proportion of highly adherent subjects improved from 29.3% (39/133) at baseline to 42.1% (56/133) at follow-up (P < 0.001), and the proportion of poorly adherent subjects decreased from 29.3 (39/133) to 20.3% (27/133) at follow-up (P = 0.012). QOL also improved, as evidenced by a significant increase in the GlauQOL-17 score (P < 0.05). In a subgroup of patients for whom IOP measurements were available, IOP reduced by 0.92 mmHg (P = 0.069).

CONCLUSIONS

Significant improvements in glaucoma adherence and QOL were achieved among poorly adherent glaucoma patients after 1 month of using the EyePhone© App.

Factors Associated With Nonadherence in an Emergency Department-based Multicenter Randomized Clinical Trial of a Probiotic in Children With Acute Gastroenteritis

ABSTRACT

Nonadherence in clinical trials affects safety and efficacy determinations. Predictors of nonadherence in pediatric acute illness trials are unknown. We sought to examine predictors of nonadherence in a multicenter randomized trial of 971 children with acute gastroenteritis receiving a 5-day oral course of Lactobacillus rhamnosus GG or placebo. Adherence, defined as consuming all doses of the product, was reported by the parents and recorded during daily follow-up contacts. Of 943 patients with follow-up data, 766 (81.2%) were adherent. On multivariate analysis, older age (OR 1.19; 95% CI: 1.00-1.43), increased vomiting duration (OR 1.23; 95% CI: 1.05-1.45), higher dehydration score (OR 1.23, 95% CI: 1.07-1.42), and hospitalization following ED discharge (OR 4.16, 95% CI: 1.21--14.30) were factors associated with nonadherence; however, those with highest severity scores were more likely to adhere (OR 0.87, 95% CI: 0.80-0.95). These data may inform strategies and specific targets to maximize adherence in future pediatric trials.

Design and conduct of confirmatory chronic pain clinical trials

The purpose of this article is to provide readers with a basis for understanding the emerging science of clinical trials and to provide a set of practical, evidence-based suggestions for designing and executing confirmatory clinical trials in a manner that minimizes measurement error. The most important step in creating a mindset of quality clinical research is to abandon the antiquated concept that clinical trials are a method for capturing data from clinical practice and shifting to a concept of the clinical trial as a measurement system, consisting of an interconnected set of processes, each of which must be in calibration for the trial to generate an accurate and reliable estimate of the efficacy (and safety) of a given treatment. The status quo of inaccurate, unreliable, and protracted clinical trials is unacceptable and unsustainable. This article gathers aspects of study design and conduct under a single broad umbrella of techniques available to improve the accuracy and reliability of confirmatory clinical trials across traditional domain boundaries.

Moving the Dial on Heart Failure Patient Adherence Rates

INTRODUCTION

Heart failure remains a substantive contributor to patient morbidity and mortality rates worldwide and represents a significant burden on the healthcare ecosystem. Faced with persistent physical symptoms and debilitating social consequences, patients follow complex treatment regimens and often have difficulty adhering to them.

PURPOSE

In this manuscript, we review factors which contribute to low adherence rates and advance potential single- and multi-factor-based interventions. It is hoped that these observations can lead to improvements in managed care of this vulnerable population of patients.

METHODS

A narrative review of the primary literature was performed on contributing factors with primary focus on the period 2015-2020 using available databases and search engines. Adherence pain points identified were mapped against a series of potential solutions which are presented.

RESULTS

Enhancement of treatment adherence relies on two approaches viz. single-factor and multi-factor solutions. Single factors identified include electronic reminders, enhanced health education, financial incentives, gamification strategies, community drivers, persona-based modeling, and burden relief of poly pharmacy. Multi-factor solutions combine two or more of the seven approaches offering the potential for flexible interventions tailored to the individual.

DISCUSSION AND CONCLUSION

Heart failure patients with poor adherence have increased mortality, hospitalization needs, and healthcare costs. This review highlights current single-factor and multi-factor adherence methods. Against a backdrop of diversity of approaches, multi-factor solutions cast the widest net for positively influencing adherent behaviors. A key enabler lies in the development and leveraging of patient personas in the synthesis of successful intervention methods. Deployable solutions can also be envisioned in clinical trials where adherence tracking represents an essential component.

Is there any Hope for Monitoring Adherence in an Efficient and Feasible Way for Resistant Hypertension Diagnosis and Follow-Up?

PURPOSE OF REVIEW

Non-adherence to antihypertensive treatment is highly prevalent and represents a major factor affecting their effectiveness in hypertensive patients, thus contributing to apparent treatment resistance. It is however often overlooked because the methods to assess non-adherence are mainly subjective, limiting their usefulness in clinical practice. Non-adherence to treatment affects daily patient management, resulting in inappropriate, costly, and potentially harmful treatments and loss of the expected benefits from antihypertensive drugs.

RECENT FINDINGS

Specialized centers now use a combination of objective screening tools. Firstly, snapshots of adherence levels can be provided by analytical drug detection in various biological matrixes using liquid chromatography-tandem mass spectrometry (LC-MS/MS) and secondly electronic monitoring systems of drug delivery which provide longitudinal data on adherence. Routine utilization of those tools allows the detection of non-adherence in patients with resistant hypertension, thus enabling implementation of appropriate interventions to improve drug adherence and avoid unnecessary treatment intensification. Other complementary techniques, such as digital health feedback system with ingestible sensors, are currently evaluated. In the context of an increasing burden of uncontrolled and apparent treatment-resistant hypertension, detecting non-adherence to antihypertensive therapy is, as acknowledged by the latest guidelines, a top priority to implement in clinical practice but still faces medical conservatism and disbelief.

Improving Study Conduct and Data Quality in Clinical Trials of Chronic Pain Treatments: IMMPACT Recommendations

The estimated probability of progressing from phase 3 analgesic clinical trials to regulatory approval is approximately 57%, suggesting that a considerable number of treatments with phase 2 trial results deemed sufficiently successful to progress to phase 3 do not yield positive phase 3 results. Deficiencies in the quality of clinical trial conduct could account for some of this failure. An Initiative on Methods, Measurement, and Pain Assessment in Clinical Trials meeting was convened to identify potential areas for improvement in trial conduct in order to improve assay sensitivity (ie, ability of trials to detect a true treatment effect). We present recommendations based on presentations and discussions at the meeting, literature reviews, and iterative revisions of this article. The recommendations relate to the following areas: 1) study design (ie, to promote feasibility), 2) site selection and staff training, 3) participant selection and training, 4) treatment adherence, 5) data collection, and 6) data and study monitoring. Implementation of these recommendations may improve the quality of clinical trial data and thus the validity and assay sensitivity of clinical trials. Future research regarding the effects of these strategies will help identify the most efficient use of resources for conducting high quality clinical trials. PERSPECTIVE: Every effort should be made to optimize the quality of clinical trial data. This manuscript discusses considerations to improve conduct of pain clinical trials based on research in multiple medical fields and the expert consensus of pain researchers and stakeholders from academia, regulatory agencies, and industry.

Uptake, retention, and outcomes in a demonstration project of pre-exposure prophylaxis among female sex workers in public health centers in Senegal

The Senegal pre-exposure prophylaxis (PrEP) Demonstration Project was an open-label cohort study assessing the delivery of daily oral PrEP to HIV-negative female sex workers (FSWs) in four Ministry of Health (MoH)-run clinics in Dakar, Senegal. We assessed uptake, retention in care, and adherence over up to 12 months of follow-up as well as HIV infection rates. Between July and November 2015, 350 individuals were approached and 324 (92.6%) were preliminarily eligible. Uptake was high, with 82.4% of eligible participants choosing to enroll and take PrEP. The mean age of those enrolled was 37.7 years (SD = 8.7), and approximately half had not attended school (41.2%). Among the 267 participants who were prescribed PrEP, 79.9 and 73.4% were retained in PrEP care at 6 and 12 months, respectively. Older age among FSWs was found to be the only significant predictor of lower discontinuation. We did not find significant differences in retention by site, education, condom use, or HIV risk perception. There were no new HIV infections at follow-up. Our results showed evidence of high interest in PrEP and very good PrEP retention rates among FSWs at 12-month follow-up when offered in MoH-run clinics, with older age as the only significant predictor of higher PrEP retention. This highlights the role that these clinics can play in expanding PrEP access nationwide.

Adherence to clozapine vs. other antipsychotics in schizophrenia

BACKGROUND

To date, there have been no studies evaluating adherence to clozapine with electronic adherence monitoring (EAM) such as the Medication Event Monitoring System (MEMS^® ).

METHODS

In outpatients with schizophrenia, we conducted a 3-month prospective study investigating antipsychotic adherence with EAM (eCAP^® ). Participants were treated with different oral antipsychotics, including clozapine, and blind to EAM monitoring; all were on antipsychotic monotherapy administered once daily. Outcome measures included adherence rate, missed dose, and medication gap. Adherence trajectory patterns were also analyzed for clozapine vs. other antipsychotics collectively.

RESULTS

A total of 111 patients were included in the study; 33 and 78 patients received clozapine or other antipsychotics, respectively. Adherence rates, defined as proportion of days that the subject took the medication at the prescribed time ± 3 h and proportion of subjects with ≥80% adherence, were numerically higher in patients receiving clozapine vs. other antipsychotics (72.0% vs. 65.1%, P = 0.10; 49.5% vs. 35.7%, P = 0.11, respectively). Along similar lines, some of the missed dose and medication gap outcomes were significantly better in patients receiving clozapine vs. other antipsychotics. Three adherence trajectory patterns were identified for both clozapine and other antipsychotics, with two shared by both groups (i.e., low adherence with a slight decrease over time; high and stable adherence).

CONCLUSION

Findings suggest that in patients with schizophrenia clozapine adherence is at least comparable, if not slightly better, compared with other antipsychotics.

Adherence to Oral Antipsychotics Measured by Electronic Adherence Monitoring in Schizophrenia: A Systematic Review and Meta-analysis

BACKGROUND

Poor adherence to oral antipsychotics is common in patients with schizophrenia; nonetheless, there has been no systematic review or meta-analysis on medication adherence measured by electronic adherence monitoring (EAM), considered by many as the 'gold standard' assessment.

METHODS

We systematically searched MEDLINE and Embase to identify studies investigating adherence to oral antipsychotics using EAM in patients with schizophrenia spectrum disorder. There were no exclusion criteria. We looked at the methodology in each study and defined which type of adherence was used in the study. Data on medication adherence, definition of satisfactory adherence (i.e., the threshold set in terms of the percentage of times medication was taken as prescribed), and factors associated with adherence were extracted for the included studies. Further, data on the rates of medication adherence were quantitatively synthesized.

RESULTS

A total of 19 studies involving 2184 patients were included. EAM-measured medication adherence was classified into three outcome types: taking adherence, regimen adherence, and timing adherence. The meta-analysis yielded oral antipsychotic adherence rates (defined as a continuous variable) of 71.1% for taking adherence [from seven studies, n = 256, 95% confidence interval (CI) 58.0-84.1], 70.0% for regimen adherence (from five studies, n = 174, 95% CI = 63.6-76.4), and 64.9% for timing adherence (from four studies, n = 212, 95% CI 53.2-76.6), respectively. The proportions of patients with oral antipsychotic adherence, when defined as a dichotomous variable, ranged from 50 to 78.3% for the 70% threshold for satisfactory adherence, 29.8-75.7% for the 75% threshold, and 47.8-75.7% for the 80% threshold. Factors associated with poor medication adherence were greater symptom severity, more frequent dosing regimen, poorer insight, and more negative drug attitude.

CONCLUSIONS

Oral antipsychotic adherence rates in schizophrenia, defined as a continuous variable and measured by EAM, were in the range of 70%, lower than the 80% threshold used widely to define satisfactory adherence.

Assessing the Scope and Predictors of Intentional Dose Non-adherence in Clinical Trials

BACKGROUND

Although there is broad agreement that the accurate estimation of non-adherence rates in clinical trials is essential to determining the dose-response relationship, treatment safety and efficacy effects, no accurate estimates have ever been produced.

METHODS

This study used a novel platform combining artificial intelligence and virtual patient monitoring to identify and quantify the scope of unreported intentional non-adherence in clinical trials of new medical therapies. Nearly 260,000 observations were drawn from a convenience sample of 2976 study volunteers participating in 23 clinical trials of psychiatric, neurological and neuromuscular diseases.

RESULTS

The results indicate that 4% of all confirmed doses were intentionally non-adherent, 48% of all study volunteers had at least one intentionally non-adherent dose and 5% of study volunteers were intentionally non-adherent for more than one-third of all doses required.

CONCLUSIONS

Several factors were associated with, and predictive of, unreported intentional non-adherence including clinical trial phase; clinical trial duration; geographic location where the study was conducted; and investigative site enrollment volume. The findings also show that although the overall rate of intentional non-adherence does not change over the course of a clinical trial, study volunteers who deliberately chose not to take their first dose had a mean intentional non-adherence rate five times higher than that observed among those who were first dose adherent. Implications of the study results are discussed.

Medication Adherence During Adjunct Therapy With Statins and ACE Inhibitors in Adolescents With Type 1 Diabetes

OBJECTIVE

Suboptimal adherence to insulin treatment is a main issue in adolescents with type 1 diabetes. However, to date, there are no available data on adherence to adjunct noninsulin medications in this population. Our aim was to assess adherence to ACE inhibitors and statins and explore potential determinants in adolescents with type 1 diabetes.

RESEARCH DESIGN AND METHODS

There were 443 adolescents with type 1 diabetes recruited into the Adolescent Type 1 Diabetes Cardio-Renal Intervention Trial (AdDIT) and exposed to treatment with two oral drugs-an ACE inhibitor and a statin-as well as combinations of both or placebo for 2-4 years. Adherence was assessed every 3 months with the Medication Event Monitoring System (MEMS) and pill count.

RESULTS

Median adherence during the trial was 80.2% (interquartile range 63.6-91.8) based on MEMS and 85.7% (72.4-92.9) for pill count. Adherence based on MEMS and pill count dropped from 92.9% and 96.3%, respectively, at the first visit to 76.3% and 79.0% at the end of the trial. The percentage of study participants with adherence ≥75% declined from 84% to 53%. A good correlation was found between adherence based on MEMS and pill count (r = 0.82, P < 0.001). Factors associated with adherence were age, glycemic control, and country.

CONCLUSIONS

We report an overall good adherence to ACE inhibitors and statins during a clinical trial, although there was a clear decline in adherence over time. Older age and suboptimal glycemic control at baseline predicted lower adherence during the trial, and, predictably, reduced adherence was more prevalent in subjects who subsequently dropped out.