Is There a Threshold for Medication Adherence? Lessons Learnt From Electronic Monitoring of Drug Adherence

Concordance between pharmacy dispensing and electronic monitoring data of direct oral anticoagulants - A secondary analysis of the MAAESTRO study

BACKGROUND

Direct oral anticoagulants are the preferred treatment for stroke patients with atrial fibrillation. Pharmacy dispensing data represent a practical method to identify suboptimal medication adherence.

OBJECTIVE

This study investigates whether pharmacy dispensing data are indicative of real-life adherence behavior, using data from 130 patients in the MAAESTRO study (2018-2022) in Basel, Switzerland.

METHODS

This secondary data analysis of the MAAESTRO study (Dietrich, 2024) included patients with electronic monitoring (EM) and dispensing data for 12 months. Patients with at least two refills were included in the analysis. We categorized refill series into three adherence patterns using the Delta T method (Baumgartner, 2022): all refills on time, erratic refills, end-gaps ≥10 days. EM-adherence was assessed through "taking adherence" and "missing days" (24h without intake). We analyzed: i) all dispensing data ("all refills"); ii) all data independently of the MAAESTRO phase ("all phases"); iii) the last two dispensing data ("last"), and iv) EM data from the MAAESTRO phase that match the date of the last refill ("matched"). Associations between refill patterns and adherence were examined using Spearman correlation and Fisher's exact test.

RESULTS

Data analyzed from 50 patients (mean age 76.4 ± 9.1 years, 56.0 % male) included 252 refills with a median of 4 refills per patient. Refill patterns were: all refills on time (40.0 %), erratic refills (36.0 %), and end-gaps >10 days (24.0 %). Mean taking adherence was 89.3 ± 13.7 %. EM data revealed missing days in 82.0 % of patients, with 61.0 % having irregular refill patterns. Matched taking adherence was moderately associated with Delta T over all refills (p = 0.034) and the last refill (p = 0.013).

CONCLUSIONS

Dispensing data processed with the Delta T method correlate moderately with EM data. The Delta T value for the last two refills shows promise for estimating irregular adherence, suggesting potential for targeted interventions in pharmacy practice.

Smartphone App for Improving Self-Awareness of Adherence to Edoxaban Treatment in Patients With Atrial Fibrillation (ADHERE-App Trial): Randomized Controlled Trial

BACKGROUND

Adherence to oral anticoagulant therapy is essential to prevent ischemic stroke in patients with atrial fibrillation (AF).

OBJECTIVE

This study aimed to evaluate whether smartphone app-based interventions improve medication adherence in patients with AF.

METHODS

This open-label, multicenter randomized controlled trial (ADHERE-App [Self-Awareness of Drug Adherence to Edoxaban Using an Automatic App Feedback System] study) enrolled patients with AF treated with edoxaban for stroke prevention. They were randomly assigned to app-conditioned feedback (intervention; n=248) and conventional treatment (control; n=250) groups. The intervention group received daily alerts via a smartphone app to take edoxaban and measure blood pressure and heart rate at specific times. The control group received only standard, guideline-recommended care. The primary end point was edoxaban adherence, measured by pill count at 3 or 6 months. Medication adherence and the proportion of adequate medication adherence, which was defined as ≥95% of continuous medication adherence, were evaluated.

RESULTS

Medication adherence at 3 or 6 months was not significantly different between the intervention and control groups (median 98%, IQR 95%-100% vs median 98%, IQR 91%-100% at 3 months, P=.06; median 98%, IQR 94.5%-100% vs median 97.5%, IQR 92.8%-100% at 6 months, P=.15). However, the proportion of adequate medication adherence (≥95%) was significantly higher in the intervention group at both time points (76.8% vs 64.7% at 3 months, P=.01; 73.9% vs 61% at 6 months, P=.007). Among patients aged >65 years, the intervention group showed a higher medication adherence value and a higher proportion of adequate medication adherence (≥95%) at 6 months.

CONCLUSIONS

There was no difference in edoxaban adherence between the groups. However, the proportion of adequate medication adherence was higher in the intervention group, and the benefit of the smartphone app-based intervention on medication adherence was more pronounced among older patients than among younger patients. Given the low adherence to oral anticoagulants, especially among older adults, using a smartphone app may potentially improve medication adherence.

TRIAL REGISTRATION

International Clinical Trials Registry Platform KCT0004754; https://cris.nih.go.kr/cris/search/detailSearch.do?seq=28496&search_page=L.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1136/bmjopen-2021-048777.

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.

How drug onset rate and duration of action affect drug forgiveness

Medication nonadherence is one of the largest problems in healthcare today, particularly for patients undergoing long-term pharmacotherapy. To combat nonadherence, it is often recommended to prescribe so-called "forgiving" drugs, which maintain their effect despite lapses in patient adherence. Nevertheless, drug forgiveness is difficult to quantify and compare between different drugs. In this paper, we construct and analyze a stochastic pharmacokinetic/pharmacodynamic (PK/PD) model to quantify and understand drug forgiveness. The model parameterizes a medication merely by an effective rate of onset of effect when the medication is taken (on-rate) and an effective rate of loss of effect when a dose is missed (off-rate). Patient dosing is modeled by a stochastic process that allows for correlations in missed doses. We analyze this "on/off" model and derive explicit formulas that show how treatment efficacy depends on drug parameters and patient adherence. As a case study, we compare the effects of nonadherence on the efficacy of various antihypertensive medications. Our analysis shows how different drugs can have identical efficacies under perfect adherence, but vastly different efficacies for adherence patterns typical of actual patients. We further demonstrate that complex PK/PD models can indeed be parameterized in terms of effective on-rates and off-rates. Finally, we have created an online app to allow pharmacometricians to explore the implications of our model and analysis.

Adherence Monitoring Package (AMoPac) in patients suspected of non-response to antihypertensive treatment: perceived usefulness by general practitioners

BACKGROUND

Non-adherence to antihypertensive agents is common, mainly because of the low perceived burden of high blood pressure. General practitioners (GPs) are unable to predict whether patients are adhering to a recommended treatment. Knowledge about adherence might be of clinical interest in patients non-responding to antihypertensive treatment.

AIM

To assess the usefulness of an Adherence Monitoring Package (AMoPac) to identify non-adherence in patients non-responding to antihypertensive treatment.

METHODS

AMoPac consists of (1) 4 weeks of electronic adherence monitoring, (2) pharmacist's feedback on patient's intake behaviour and (3) adherence metrics including clinical-pharmaceutical recommendations to the GP. AMoPac-HYP ('Adherence Monitoring Package to identify non-adherence in ambulatory HYPertensive patients') is an observational study among GPs and ambulatory patients with hypertension in a real-world setting. The primary outcome was GPs' perceived usefulness of AMoPac. Secondary outcomes were (1) frequency of medication problems and prescribing errors; (2) types of pharmacist's' recommendations; (3) acceptance of the recommendations by GPs; (4) medication adherence and (5) patients' satisfaction. Outcomes are reported descriptively. Data were collected with questionnaires and electronic monitoring of medicine intake.

RESULTS

Fifteen GPs and 15 patients with hypertension participated in the AMoPac-HYP Study. Patients were on average 62 years old, and mean blood pressure was 137/83 mmHg. All GPs rated AMoPac as useful. The most frequently mentioned use was excluding non-adherence in patients with hypertension (93%). Medication problems and prescribing errors were observed in 80% of the patients. The study pharmacist recommended adherence support (N=9 patients) and treatment optimisation (N=8 patients). The recommendations were accepted and implemented in 10 of 17 cases by the GP. Patients' mean taking and timing adherence were 90% and 86%, respectively. Satisfaction with the study procedures among patients was high.

CONCLUSION

AMoPac was rated as useful for identifying and excluding non-adherence in patients with hypertension and was highly accepted among patients. Including adherence data in clinical decision-making could contribute to optimising patient care.

Factors Influencing the Medication Adherence in Adults With Attention-Deficit/Hyperactivity Disorder (ADHD) and Its Impact on Healthcare Utilization

OBJECTIVE

This study aims to investigate the factors influencing medication adherence among adults with Attention-Deficit/Hyperactivity Disorder (ADHD) and impact of central nervous system stimulants (CNS) adherence on healthcare utilization (HCU). Methods: This was a cross-sectional study using Medical Expenditure Panel Survey 2013 to 2019, with participants (≥18 years of age) with ADHD and had at least one CNS prescription. Multivariate logistic and linear regression were utilized to evaluate the medication adherence and its impact on HCU, respectively.

RESULT

Total 798 (10,718,005 weighted) ADHD patients, were mostly White (81%), aged between 18 and 25 (35%), and non-adherent to CNS (65%). The use of extended-release medications (OR = 1.51 [1.03, 2.23]) and new users (OR = 3.46 [2.12, 5.63], p ≤ .05) were positively associated with medication adherence. The adherent group utilized more outpatient visits (0.04 vs. 0.46) and prescription refills (18.38 vs. 31.25) compared to non-adherent.

CONCLUSION

Our findings can be applied to improve the medication adherence, patient education, and optimize intervention for adults with ADHD.

Statistical Analysis of Two-Compartment Pharmacokinetic Models with Drug Non-adherence

Poor drug adherence is considered one of major barriers to achieving the clinical and public health benefits of many pharmacotherapies. In the current paper, we aim to investigate the impact of dose omission on the plasma concentrations of two-compartment pharmacokinetic models with two typical routes of drug administration, namely the intravenous bolus and extravascular first-order absorption. First, we reformulate the classical two-compartment pharmacokinetic models with a new stochastic feature, where a binomial random model of dose intake is integrated. Then, we formalize the explicit expressions of expectation and variance for trough concentrations and limit concentrations, with the latter proved of the existence and uniqueness for steady-state distribution. Moreover, we mathematically demonstrate the strict stationarity and ergodicity of trough concentrations as a Markov chain. In addition, we numerically simulate the impact of drug non-adherence to different extents on the variability and regularity of drug concentration and compare the drug pharmacokinetic preference between one and two compartment pharmacokinetic models. The results of sensitivity analysis also suggest the drug non-adherence as one of the most sensitive model parameters to the expectation of limit concentration. Our modelling and analytical approach can be integrated into the chronic disease models to estimate or quantitatively predict the therapy efficacy with drug pharmacokinetics presumably affected by random dose omissions.

Using a generic quality of life measure to determine adherence thresholds: a cross-sectional study on older adults with neurological disorders in Germany

OBJECTIVES

Measuring the degree of adherence to medication is essential in healthcare However, the cut-offs provided for adherence scales are often arbitrary and disease-specific, and need to be validated against a clinical outcome. Here, we used health-related quality of life (QoL) to determine cut-offs for a self-report adherence questionnaire in patients with neurological diagnoses.

DESIGN

Cross-sectional study.

PARTICIPANTS

910 patients (age 70±8.6 years) with neurological disorders were recruited from the wards of neurology at a local university hospital. All patients received a comprehensive geriatric assessment, including assessments of adherence (Stendal Adherence to Medication Score, SAMS) and QoL (Short Form Survey SF-36).

OUTCOME MEASURES

The main aim of the study was to define a cut-off for non-adherence at which QoL is significantly impaired. Thus, we used Spearman's rank correlation, multivariate and univariate analyses of variance to test the impact of different adherence levels on QoL. Receiver operating characteristics and area under curve measures were then used to determine cut-off scores for adherence based on significant differences in QoL.

RESULTS

Correlations between SAMS and SF-36 domains were weak (ranging between r=-0.205 for emotional well-being and r=-0.094 for pain) and the effect of non-adherence on QoL disappeared in the multivariate analysis of variance (p=0.522) after adjusting for demographical and clinical factors. SAMS cut-offs in terms of SF-36 domains varied greatly, so that an overall SAMS cut-off for this cohort could not be defined.

CONCLUSIONS

QoL as measured by the SF-36 is not suitable as a single outcome parameter to study the impact of non-adherence on QoL in a mixed neurological cohort. Since both QoL and adherence are heterogeneous, multifaceted constructs, it is unlikely to find an overarching cut-off applicable for all patients. Thus, it may be necessary to use disease or cohort-specific external outcome parameters to measure the indirect effect of interventions to enhance adherence.

TRIAL REGISTRATION NUMBER

DRKS00016774.

A Novel Remote Patient and Medication Monitoring Solution to Improve Adherence and Persistence With Inflammatory Bowel Disease Therapy (ASSIST Study): Protocol for a Randomized Controlled Trial

BACKGROUND

Inflammatory bowel diseases (IBDs) are chronic inflammatory conditions of the gastrointestinal tract. Although adherence to IBD therapies is associated with improved clinical outcomes, overall adherence is poor. Consequently, there is a critical need to develop interventions that monitor adherence in real time and identify reasons for nonadherence to support clinical teams in initiating effective interventions. Recently, electronic- and web-based platforms have been developed to monitor adherence and guide interventions. A novel remote therapy monitoring (RTM) technology, the Tappt digital health system, has been developed to monitor real-time medication adherence patterns through smart label technologies, capture patient-reported outcomes and barriers to care, and process patient data through algorithms that trigger personalized digital and human touch points between clinical visits. Such a digital health solution enables care teams to proactively identify and mitigate nonadherence and worsening clinical outcomes.

OBJECTIVE

We propose a 12-month multicenter randomized controlled trial to assess the effectiveness of the Tappt digital health system on adherence, clinical outcomes, and health care use among patients diagnosed with IBD starting a new oral or subcutaneous therapy.

METHODS

The digital health system intervention will provide automatic measurement of medication adherence via smart labels for pill bottles or injectors as well as a monitoring platform for providers. The system will prompt patients to complete a two-item assessment of symptoms monthly using the PRO-2 scales for UC and Crohn disease, from which increased symptoms will be alerted to providers. Participants will be randomized 2:1 to the intervention group or the control group, which will receive standard of care. All participants are required to complete questionnaires at baseline as well as at 12, 26, and 52 weeks. Assuming an adherence rate of 0.65 and 0.9 among control and intervention participants, respectively, we will need to enroll 123 participants: 82 (66.7%) in the intervention group and 41 (33.3%) controls. We will compare adherence as measured by the medication possession ratio, defined as the number of days of supply of medication obtained during the observation period out of the total number of days in the observation period, in participants using the RTM versus those receiving standard of care. We will also compare clinical outcomes and health care use in participants using the RTM versus those receiving standard of care.

RESULTS

We anticipate starting recruitment in December 2022.

CONCLUSIONS

Effective medication adherence monitoring and intervention programs need to be cost-efficient, pose little or no burden to the patient, record reliable data in real time, and provide actionable insights to the health care team. We anticipate the Tappt digital health system to improve the medication possession ratio, clinical outcomes, and health care use compared with standard of care.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05316584; https://clinicaltrials.gov/ct2/show/NCT05316584.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/40382.

Intensifying approaches to address clinical inertia among cardiovascular disease risk factors: A narrative review

OBJECTIVE

Clinical inertia, the absence of treatment initiation or intensification for patients not achieving evidence-based therapeutic goals, is a primary contributor to poor clinical outcomes. Effectively combating clinical inertia requires coordinated action on the part of multiple representatives including patients, clinicians, health systems, and the pharmaceutical industry. Despite intervention attempts by these representatives, barriers to overcoming clinical inertia in cardiovascular disease (CVD) risk factor control remain.

METHODS

We conducted a narrative literature review to identify individual-level and multifactorial interventions that have been successful in addressing clinical inertia.

RESULTS

Effective interventions included dynamic forms of patient and clinician education, monitoring of real-time patient data to facilitate shared decision-making, or a combination of these approaches. Based on findings, we describe three possible multi-level approaches to counter clinical inertia - a collaborative approach to clinician training, use of a population health manager, and use of electronic monitoring and reminder devices.

CONCLUSION

To reduce clinical inertia and achieve optimal CVD risk factor control, interventions should consider the role of multiple representatives, be feasible for implementation in healthcare systems, and be flexible for an individual patient's adherence needs.

PRACTICE IMPLICATIONS

Representatives (e.g., patients, clinicians, health systems, and the pharmaceutical industry) could consider approaches to identify and monitor non-adherence to address clinical inertia.

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

Should patients skip late doses of medication? A pharmacokinetic perspective

Missed doses, late doses, and other dosing irregularities are major barriers to effective pharmacotherapy, especially for the treatment of chronic conditions. What should a patient do if they did not take their last dose at the prescribed time? Should they take it late or skip it? In this paper, we investigate the pharmacokinetic effects of taking a late dose. We consider a single compartment model with linear absorption and elimination for a patient instructed to take doses at regular time intervals. We suppose that the patient forgets to take a dose and then realizes some time later and must decide what remedial steps to take. Using mathematical analysis, we derive several metrics which quantify the effects of taking the dose late. The metrics involve the difference between the drug concentration time courses for the case that the dose is taken late and the case that the dose is taken on time. In particular, the metrics are the integral of the absolute difference over all time, the maximum of the difference, and the maximum of the integral of the difference over any single dosing interval. We apply these general mathematical formulas to levothyroxine, atorvastatin, and immediate release and extended release formulations of lamotrigine. We further show how population variability can be immediately incorporated into these results. Finally, we use this analysis to propose general principles and strategies for dealing with dosing irregularities.

Exploring gender differences in medication consumption and mortality in a cohort of hypertensive patients in Northern Italy

Background

This paper aims to assess the presence of gender differences in medication use and mortality in a cohort of patients affected exclusively by hypertension, in 193 municipalities in the Lombardy Region (Northern Italy), including Milan's metropolitan area.

Methods

A retrospective cohort study was conducted (N = 232,507) querying administrative healthcare data and the Register of Causes of Death. Hypertensive patients (55.4% women; 44.6% men) in 2017 were identified; gender differences in medication use (treatment, 80% compliance) and deaths (from all causes and CVDs) were assessed at two-year follow-ups in logistic regression models adjusted for age class, census-based deprivation index, nationality, and pre-existing health conditions. Models stratified by age, deprivation index, and therapeutic compliance were also tested.

Results

Overall, women had higher odds of being treated, but lower odds of therapeutic compliance, death from all causes, and death from CVDs. All the outcomes had clear sex differences across age classes, though not between different levels of deprivation. Comparing patients with medication adherence, women had lower odds of death from all causes than men (with a narrowing protective effect as age increased), while no gender differences emerged in non-compliant patients.

Conclusions

Among hypertensive patients, gender differences in medication consumption and mortality have been found, but the extent to which these are attributable to a female socio-cultural disadvantage is questionable. The findings reached, with marked age-dependent effects in the outcomes investigated, suggest a prominent role for innate sex differences in biological susceptibility to the disease, whereby women would take advantage of the protective effects of their innate physiological characteristics, especially prior to the beginning of menopause.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-13052-9.

Objective measurement of adherence to topical steroid medication after penetrating keratoplasty using an electronic monitoring aid: A pilot study

Objectives

Corneal transplantation is the most common transplant worldwide and its success critically depends on the management of corneal graft rejection through topical steroid therapy during the first 12 months after surgery. There is currently no published data on adherence after keratoplasty. This pilot study aims to explore the adherence to topical steroid after penetrating keratoplasty using a smart electronic device.

Methods

Thirty patients undergoing penetrating keratoplasty were included to evaluate the adherence to topical dexamethasone medication for 12 months after surgery. Patients received the usual post-transplantation treatment (topical dexamethasone) and follow-up after surgery (day 15, months 1, 2, 3, 4, 5, 6, 9, and 12). Adherence to treatment was monitored using the KaliJAR device (Kali Care, Santa Clara, CA, USA), which recorded the number of single-dose units (SDU) discarded. At control visits, data recorded by the device were compared to the manually count of SDU. Adherence ratio and individual adherence curve were explored for all patients.

Results

Data from 27 patients showed a high agreement between adherence ratio calculated based on the device data and obtained from manual counting of the discarded SDU (intraclass coefficient correlation of 0.87 [95% CI: 0.738–0.938]). Mean adherence to the treatment over the 12-month study period was 95.2 ± 4%.

Conclusions

Adherence to topical dexamethasone for 12 months after corneal transplantation was high. The connected device was able to record accurately the discarded SDU. This approach would be a particular interest in the early identification and personalized follow-up of poorly adherent patients.

Designing Drug Regimens that Mitigate Nonadherence

Medication adherence is a well-known problem for pharmaceutical treatment of chronic diseases. Understanding how nonadherence affects treatment efficacy is made difficult by the ethics of clinical trials that force patients to skip doses of the medication being tested, the unpredictable timing of missed doses by actual patients, and the many competing variables that can either mitigate or magnify the deleterious effects of nonadherence, such as pharmacokinetic absorption and elimination rates, dosing intervals, dose sizes, and adherence rates. In this paper, we formulate and analyze a mathematical model of the drug concentration in an imperfectly adherent patient. Our model takes the form of the standard single compartment pharmacokinetic model with first-order absorption and elimination, except that the patient takes medication only at a given proportion of the prescribed dosing times. Doses are missed randomly, and we use stochastic analysis to study the resulting random drug level in the body. We then use our mathematical results to propose principles for designing drug regimens that are robust to nonadherence. In particular, we quantify the resilience of extended release drugs to nonadherence, which is quite significant in some circumstances, and we show the benefit of taking a double dose following a missed dose if the drug absorption or elimination rate is slow compared to the dosing interval. We further use our results to compare some antiepileptic and antipsychotic drug regimens.

Rheumatoid Arthritis and Cardiovascular Risk: Retrospective Matched-Cohort Analysis Based on the RECORD Study of the Italian Society for Rheumatology

Background: Rheumatoid arthritis (RA) is associated with an increase in cardiovascular (CV) risk. This issue maybe not only explained by a genetic component, as well as by the traditional CV risk factors, but also by an underestimation and undertreatment of concomitant CV comorbidities.

Method: This was a retrospective matched-cohort analysis in the Italian RA real-world population based on the healthcare-administrative databases to assess the CV risk factors and incidence of CV events in comparison with the general population. Persistence and adherence to the CV therapy were also evaluated in both groups.

Results: In a RA cohort (N = 21,201), there was a greater prevalence of hypertension and diabetes with respect to the non-RA subjects (N = 249,156) (36.9 vs. 33.4% and 10.2 vs. 9.6%, respectively), while dyslipidemia was more frequent in the non-RA group (15.4 vs. 16.5%). Compared with a non-RA cohort, the patients with RA had a higher incidence of atrial fibrillation (incidence rate ratio, IRR 1.28), heart failure (IRR 1.53), stroke (IRR 1.19), and myocardial infarction (IRR 1.48). The patients with RA presented a significantly lower persistence rate to glucose-lowering and lipid-lowering therapies than the controls (odds ratio, OR 0.73 [95% CI 0.6–0.8] and OR 0.82 [0.8–0.9], respectively). The difference in the adherence to glucose-lowering therapy was significant (OR 0.7 [0.6–0.8]), conversely no statistically significant differences emerged regarding the adherence to lipid-lowering therapy (OR 0.89 [95% CI 0.8–1.0]) and anti-hypertensive therapy (OR 0.96 [95% CI 0.9–1.0]).

Conclusion: The patients with RA have a higher risk of developing CV events compared with the general population, partially explained by the excess and undertreatment of CV risk factors.

Development and Validation of a Questionnaire to Measure Medication Adherence to Direct-Acting Agents in Patients with Hepatitis C

This study aims to develop a new self-report tool (HCV-AD) measuring adherence factors, intentional or unintentional, during Hepatitis C Virus (HCV) treatment with direct-acting antivirals (DAA) aiming to achieve high efficacy, otherwise resulting in drug resistance and treatment failure. Two phases were conducted: in the first phase, items were generated based on an extensive literature review, and, in the second phase, a prospective cohort study was conducted using HCV patients from Gastroenterology Department from University County Hospital of Craiova, Romania (n = 222), to evaluate the validity and reliability of the questionnaire. A number of 19 items were generated following a systematic review and through expert opinion. The internal consistency reliability was evaluated using Cronbach's alpha. The construct validity was assessed using correlations with two other instruments: visual analog scale (VAS) and medication possession ratio (MPR). The final questionnaire (HCV-AD10) was derived through exploratory factor analysis, with 82% of total variance explained. This instrument appeared as a reliable and valid measure for medication adherence, with Cronbach's alpha (0.867) and significant high positive correlations between adherence scores calculated with HCV-AD10 and VAS (ρ = 0.61, p < 0.001) or with HCV-AD10 and MPR (ρ = 0.75, p < 0.001). This research would make a worthwhile contribution to HCV management.

What should patients do if they miss a dose of medication? A theoretical approach

Medication adherence is a major problem for patients with chronic diseases that require long term pharmacotherapy. Many unanswered questions surround adherence, including how adherence rates translate into treatment efficacy and how missed doses of medication should be handled. To address these questions, we formulate and analyze a mathematical model of the drug concentration in a patient with imperfect adherence. We find exact formulas for drug concentration statistics, including the mean, the coefficient of variation, and the deviation from perfect adherence. We determine how adherence rates translate into drug concentrations, and how this depends on the drug half-life, the dosing interval, and how missed doses are handled. While clinical recommendations require extensive validation and should depend on drug and patient specifics, as a general principle our theory suggests that nonadherence is best mitigated by taking double doses following missed doses if the drug has a long half-life. This conclusion contradicts some existing recommendations that cite long drug half-lives as the reason to avoid a double dose after a missed dose. Furthermore, we show that a patient who takes double doses after missed doses can have at most only slightly more drug in their body than a perfectly adherent patient if the drug half-life is long. We also investigate other ways of handling missed doses, including taking an extra fractional dose following a missed dose. We discuss our results in the context of hypothyroid patients taking levothyroxine.

Real-World Assessment of Interferon-β-1b and Interferon-β-1a Adherence Before and After the Introduction of the BETACONNECT® Autoinjector: A Retrospective Cohort Study

BACKGROUND

Both interferon beta-1b (IFN-β-1b) and interferon beta-1a (IFN-β-1a) are immunomodulators that require regular subcutaneous self-administration by patients with multiple sclerosis (MS). However, no electronic autoinjector is available for IFN-β-1a in the US.

OBJECTIVE

This retrospective cohort study investigated adherence to two subcutaneous disease-modifying therapies, IFN-β-1b and IFN-β-1a, during two periods (before and after the introduction of the BETACONNECT® autoinjector for IFN-β-1b).

PATIENTS AND METHODS

Data were evaluated from the MarketScan database for adults in the US with an MS diagnosis and a medical claim for subcutaneous IFN-β-1b or IFN-β-1a, either before (October 2013-September 2015) or after the introduction of BETACONNECT (October 2016-September 2018). Patient populations were propensity-score matched by demographic and clinical characteristics. Persistence was recorded, and adherence was evaluated by medication possession ratio (MPR).

RESULTS

The study included 196 IFN-β-1b and 365 IFN-β-1a people with MS (PwMS) (pre-BETACONNECT period), and 126 IFN-β-1b and 223 IFN-β-1a PwMS (post-BETACONNECT period). In the pre-BETACONNECT period, the proportion with at least 80% MPR was higher for IFN-β-1a (90%) than for IFN-β-1b (83%), but in the post-BETACONNECT period the proportion with ≥ 80% MPR was higher for IFN-β-1b (92%) than for IFN-β-1a (86%). In the pre-BETACONNECT period, median persistence (in days) was higher for IFN-β-1a (199) than for IFN-β-1b (152), while in post-BETACONNECT period persistence was higher for IFN-β-1b (327) than for IFN-β-1a (229).

CONCLUSIONS

Following the introduction of BETACONNECT, this exploratory study suggested that PwMS taking IFN-β-1b were more adherent compared with those taking IFN-β-1a, with higher persistence, and more than 90% reached 80% MPR, a threshold commonly used to define good adherence.

Self-Reported Medication Use and Urinary Drug Metabolites in the German Chronic Kidney Disease (GCKD) Study

BACKGROUND

Polypharmacy is common among patients with CKD, but little is known about the urinary excretion of many drugs and their metabolites among patients with CKD.

METHODS

To evaluate self-reported medication use in relation to urine drug metabolite levels in a large cohort of patients with CKD, the German Chronic Kidney Disease study, we ascertained self-reported use of 158 substances and 41 medication groups, and coded active ingredients according to the Anatomical Therapeutic Chemical Classification System. We used a nontargeted mass spectrometry-based approach to quantify metabolites in urine; calculated specificity, sensitivity, and accuracy of medication use and corresponding metabolite measurements; and used multivariable regression models to evaluate associations and prescription patterns.

RESULTS

Among 4885 participants, there were 108 medication-drug metabolite pairs on the basis of reported medication use and 78 drug metabolites. Accuracy was excellent for measurements of 36 individual substances in which the unchanged drug was measured in urine (median, 98.5%; range, 61.1%-100%). For 66 pairs of substances and their related drug metabolites, median measurement-based specificity and sensitivity were 99.2% (range, 84.0%-100%) and 71.7% (range, 1.2%-100%), respectively. Commonly prescribed medications for hypertension and cardiovascular risk reduction-including angiotensin II receptor blockers, calcium channel blockers, and metoprolol-showed high sensitivity and specificity. Although self-reported use of prescribed analgesics (acetaminophen, ibuprofen) was <3% each, drug metabolite levels indicated higher usage (acetaminophen, 10%-26%; ibuprofen, 10%-18%).

CONCLUSIONS

This comprehensive screen of associations between urine drug metabolite levels and self-reported medication use supports the use of pharmacometabolomics to assess medication adherence and prescription patterns in persons with CKD, and indicates under-reported use of medications available over the counter, such as analgesics.

The use of medication adherence guidelines in medication taking behaviour research

Medication nonadherence continues to be a serious issue in a range of long-term medical conditions and has been studied extensively over the past few decades. However, despite the plethora of research studies on medication adherence, poor methodological rigour in many studies has contributed to limited generalisability of the positive findings, limited impact on patients' medication adherence, and inability to compare between studies. This paper focuses on current guidelines designed specifically for research on medication adherence. It discusses key elements to consider during study design, selection of adherence measurements, and reporting on medication adherence research, to ensure a higher quality of research in medication adherence. Overall, there appears to be variations in adherence terminology reported in the literature despite improvements in defining medication taking behaviour and the availability of taxonomies. In addition, limited guidance exists on how best to measure adherence. Recommendations are provided on appropriate adherence measures for the adherence behaviour being investigated, including careful consideration of adherence concepts, validity of adherence instruments, appropriate instrument selection, definition of nonadherence threshold, and how to report medication adherence. Improving adherence research requires greater clarity and standardisation of descriptions of nonadherence behaviour, increased methodological rigour in study designs, better selection of adherence measurements, and comprehensive reporting.

Effect of a smartphone application (Perx) on medication adherence and clinical outcomes: a 12-month randomised controlled trial

OBJECTIVE

To determine whether the Perx app improves medication adherence and clinical outcomes over 12 months compared with standard care in patients requiring polypharmacy.

DESIGN

Randomised controlled trial with 12-month follow-up.

SETTING

Outpatient clinics in three tertiary hospitals in Sydney, Australia.

PARTICIPANTS

Eligible participants were aged 18-75 years, with at least one chronic condition, taking ≥3 different medications (oral medications or injections), with smartphone accessibility. Participants were randomised in a 1:1 ratio.

INTERVENTIONS

The intervention group used the Perx app that contained customised reminders and gamified interactions to reward verified medication adherence.

MAIN OUTCOME MEASURES

The primary outcome was medication adherence over 12 months measured using pill counts. Secondary outcomes included clinical outcomes (haemoglobin A1c (HbA1c), cholesterol, blood glucose, triglycerides, creatinine, thyroid function, blood pressure and weight).

RESULTS

Of 1412 participants screened for eligibility, 124 participants were randomised; 45 in the Perx arm and 40 in the control arm completed the study. The average age was 59.5, 58.9% were women, chronic conditions were cardiovascular disease (78%), type 2 diabetes (75%), obesity (65%) or other endocrine disorders (18%). On average, participants were taking six medications daily. The Perx group had greater improvements in adherence at month 2 (Coef. 8%; 95% CI 0.01 to 0.15), month 3 (Coef. 7%; 95% CI 0.00 to 0.14) and month 12 (Coef. 7%; 95% CI 0.00 to 0.13). The probability of HbA1c ≤6.5% was greater in the Perx group at months 9 and 12 and cholesterol (total and low-density lipoprotein cholesterol) was lower in the Perx group at month 3. The intervention was particularly effective for those with obesity, taking medications for diabetes and taking ≤4 medications.

CONCLUSIONS

This study provides evidence that app-based behavioural change interventions can increase medication adherence and produce longer-term improvements in some clinical outcomes in adults managing multimorbidity. More trials are needed to build the evidence base.

TRIAL REGISTRATION NUMBER

ACTRN12617001285347.

Medication adherence, recall periods and factors affecting it: A community-based assessment on patients with chronic diseases in urban slums

OBJECTIVE

To evaluate medication adherence, the effect of recall periods on self-reported adherence and factors influencing medication adherence among patients of chronic diseases, such as hypertension and diabetes, particularly in the community.

METHODS

A cross-sectional cohort study was conducted among individuals with hypertension and/or diabetes coming as outpatients in community camps organised in a cluster of urban slums. Responses towards questions regarding self-reported quantitative and qualitative adherence for one week and one month along with information on pill burden, socio-demographic and other factors were recorded using a mobile application.

RESULTS

Among 379 participants living in urban slum communities, who were prescribed anti-hypertensive or oral anti-diabetic medications previously, mean medication adherence over previous one week was 67.99% (standard deviation (SD) ± 38.32) and 6.87 (SD ± 3.62) on a ten-point numeric scale. The medication adherence for one month showed a strong significantly positive correlation with that of 1 week for both percentage-based (r = +0.910, 95% CI = 0.864 to 0.950, P < .0001) and Likert (ρ = +0.836, 95% CI = 0.803 to 0.863, P < .0001) scales. Age (r = 0.219, 95% CI = 0.120 to 0.313, P = .043) and pill burden (r = -0.231, 95% CI = -0.145 to -0.322, P < .0001) were found to significantly affect medication adherence. The odds of random blood sugar reduction were found to be significant (OR 1.98, 95% CI = 1.30 to 3.00, P = .001) with adequate adherence. A linear regression equation was developed to predict medication adherence percentage for a patient which was found to have 61.8% predictive power using multilayer perceptron modelling.

CONCLUSION

Overall, medication adherence was sub-optimal. Adherence assessments can be reliably performed using either one week or one month recall periods. With further refinement and validation, the regression equation could prove to be a useful tool for physicians.

Assessing Medication Adherence Barriers to Short-Term Oral Antibiotic Treatment in Primary Care-Development and Validation of a Self-Report Questionnaire (BIOTICA)

Background: Pharmacists are increasingly involved in strategies to fight antimicrobial resistance by ensuring optimised antibiotic (AB) use, including adherence support. Successful adherence interventions should be tailored to patients’ barriers and validated instruments are needed. This study aimed to identify adherence barriers to AB treatment, develop a self-report questionnaire, and validate it in outpatients. Method: Adherence barriers were identified through a systematic literature search and focus group discussion. Unmodifiable and irrelevant barriers were excluded from further processing. A validation study assessed the questionnaire’s internal reliability and construct validity by comparing the questionnaire’s score with electronically monitored adherence data. Results: A 15-item questionnaire was created. Overall, 68 patients were included in the construct validation analysis (60.3% female). The mean consecutive taking adherence was 88% and the most frequently reported barriers were “worries about side-effects” (37%) and “having swallowing difficulties” (19%). Three items were excluded from the questionnaire, which was supported by an increase of Cronbach’s alpha (0.69 to 0.70). The 12-item version’s score correlated significantly with medication adherence rate (r = −0.34, p < 0.01). Conclusion: The self-report questionnaire is a reliable and valid tool to pre-emptively assess adherence barriers in outpatients prescribed ABs. In the future, appropriate adherence interventions can be matched to barriers and tested in a pilot intervention study.

Assessment of a strategy combining ambulatory blood pressure, adherence monitoring and a standardised triple therapy in resistant hypertension

PURPOSE

Poor adherence to drug therapy and inadequate drug regimens are two frequent factors responsible for the poor blood pressure (BP) control observed in patients with apparent resistant hypertension. We evaluated the efficacy of an antihypertensive management strategy combining a standardised therapy with three long acting drugs and electronic monitoring of drug adherence in patients with apparent resistant hypertension.

MATERIALS AND METHODS

In this multicentric observational study, adult patients with residual hypertension on 24 h ambulatory BP monitoring (ABMP) despite the use of three or more antihypertensive drugs could be included. Olmesartan/amlodipine (40/10 mg, single pill fixed-dose combination) and chlorthalidone (25 mg) were prescribed for 3 months in two separated electronic pills boxes (EPB). The primary outcome was 24 h ambulatory systolic BP (SBP) control at 3 months, defined as mean SBP <130 mmHg.

RESULTS

We enrolled 48 patients (36.0% women) of whom 35 had complete EPB data. After 3 months, 52.1% of patients had 24 h SBP <130 mmHg. 24 h SBP decreased by respectively -9.1 ± 15.5 mmHg, -22.8 ± 30.6 mmHg and -27.7 ± 16.6 mmHg from the tertile with the lowest adherence to the tertile with the highest adherence to the single pill combination (p = 0.024). A similar trend was observed with tertiles of adherence to chlorthalidone. Adherence superior to 90% was associated with 24 h systolic and diastolic blood pressure control in multiple logistic regression analysis (odds ratio = 14.1 (95% confidence interval 1.1-173.3, p = 0.039).

CONCLUSIONS

A simplified standardised antihypertensive therapy combined with electronic monitoring of adherence normalises SBP in about half of patients with apparent resistant hypertension. Such combined management strategy enables identifying patients who need complementary investigations and those who rather need a long-term support of their adherence.

Defining Nonadherence and Nonpersistence to Anti-Vascular Endothelial Growth Factor Therapies in Neovascular Age-Related Macular Degeneration

Importance

Poor adherence or persistence to treatment can be a barrier to optimizing clinical practice (real-world) outcomes to intravitreal injection therapy in patients with neovascular age-related macular degeneration (nAMD). Currently, there is a lack of consensus on the definition and classification of adherence specific to this context.

Objective

To describe the development and validation of terminology on patient nonadherence and nonpersistence to anti-vascular endothelial growth factor therapy.

Design, Setting, and Participants

Following a systematic review of currently used terminology in the literature, a subcommittee panel of retinal experts developed a set of definitions and classification for validation. Definitions were restricted to use in patients with nAMD requiring intravitreal anti-vascular endothelial growth factor therapy. Validation by the full nAMD Barometer Leadership Coalition was established using a modified Delphi approach, with predetermined mean scores of 7.5 or more signifying consensus. Subsequent endorsement of the definitions was provided from a second set of retinal experts, with more than 50% members agreeing or strongly agreeing with all definitions.

Main Outcomes and Measures

Development of consensus definitions for the terms adherence and persistence and a classification system for the factors associated with treatment nonadherence or nonpersistence in patients with nAMD.

Results

Nonadherence was defined as missing 2 or more treatment or monitoring visits over a period of 12 months, with a visit considered missed if it exceeded more than 2 weeks from the recommended date. Nonpersistence was defined by nonattendance or an appointment not scheduled within the last 6 months. The additional terms planned discontinuation and transfer of care were also established. Reasons for treatment nonadherence and nonpersistence were classified into 6 dimensions: (1) patient associated, (2) condition associated, (3) therapy associated, (4) health system and health care team associated, (5) social/economic, and (6) other, with subcategories specific to treatment for nAMD.

Conclusions and Relevance

This classification system provides a framework for assessing treatment nonadherence and nonpersistence over time and across different health settings in the treatment of nAMD with current intravitreal anti-vascular endothelial growth factor treatments. This may have additional importance, given the potential association of the coronavirus pandemic on adherence to treatment in patients with nAMD.

Switch rates and total cost associated with apremilast and biologics in biologic-naive patients with psoriatic arthritis

Aim: Real-world treatment data for psoriatic arthritis are limited. We evaluated switch rates, adherence, and costs for patients initiating apremilast versus tumor necrosis factor inhibitor (TNFi) and interleukin inhibitor (ILi) among biologic-naive psoriatic arthritis patients. Materials & methods: This retrospective analysis used IBM MarketScan claims data to assess treatment switches, adherence and costs. Results: Twelve-month switch rates were significantly lower for apremilast versus TNFi (15.5% vs 26.6%; p < 0.0001) and similar to ILi (15.5% vs 14.0%; p = 0.71). Apremilast initiators had lower total costs versus TNFi and ILi (US$39,854 vs US$57,243 and US$65,687; p < 0.05) and adherence was slightly lower versus TNFi and higher versus ILi. Conclusion: Biologic-naive apremilast initiators had lower switch rates versus TNFi initiators and lower total costs versus TNFi or ILi initiators.

Non-Persistence With Antiplatelet Medications Among Older Patients With Peripheral Arterial Disease

Introduction: Antiplatelet therapy needs to be administered life-long in patients with peripheral arterial disease (PAD). Our study was aimed at 1) the analysis of non-persistence with antiplatelet medication in older PAD patients and 2) identification of patient- and medication-related characteristics associated with non-persistence. Methods: The study data was retrieved from the database of the General Health Insurance Company. The study cohort of 9,178 patients aged ≥ 65 years and treated with antiplatelet medications was selected from 21,433 patients in whom PAD was newly diagnosed between 01/2012 and 12/2012. Patients with a 6 months treatment gap without antiplatelet medication prescription were classified as non-persistent. Characteristics associated with non-persistence were identified using the Cox regression. Results: At the end of the 5 years follow-up, 3,032 (33.0%) patients were non-persistent. Age, history of ischemic stroke or myocardial infarction, clopidogrel or combination of aspirin with clopidogrel used at the index date, higher co-payment, general practitioner as index prescriber and higher overall number of medications were associated with persistence, whereas female sex, atrial fibrillation, anxiety disorders, bronchial asthma/chronic obstructive pulmonary disease, being a new antiplatelet medication user (therapy initiated in association with PAD diagnosis), and use of anticoagulants or antiarrhythmic agents were associated with non-persistence. Conclusion: In patients with an increased probability of non-persistence, an increased attention should be paid to improvement of persistence.

Directly Measured Adherence to Treatment in Chronic Heart Failure: LEVEL-CHF Registry

BACKGROUND

Currently, most available data on the medication adherence of patients with chronic heart failure are based on indirect methods. We examined the level of adherence to medical therapy using a direct method - serum drug level testing.

METHODS

We carried out a prospective single-centre registry of patients with chronic heart failure (LEVEL-CHF registry), in whom we analysed serum levels of the medications prescribed for the treatment of heart failure: angiotensin converting enzyme inhibitors, angiotensin receptor blockers, beta-blockers and mineralocorticoid receptor antagonists. We labelled a patient as non-adherent if at least one serum level of a prescribed drug was unmeasurable (below the detection limit). Patients with all tested drugs identifiable in serum were labelled as adherent. We enrolled 274 patients (208 men and 66 women) mean age 62 years.

RESULTS

82.5% of patients were adherent and 17.5% non-adherent to prescribed medications. 3.6% were completely non-adherent without any detectable drugs in serum. Patients aged <60 years were more likely to be non-adherent than older patients (OR 2.15). No other clinical or laboratory parameters predicted non-adherence.

CONCLUSIONS

A significant proportion of outpatients with chronic heart failure were non-adherent to treatment when assessed by a direct method of serum drug level testing. Non-adherence was more likely in younger patients.

Temporal Factors and Missed Doses of Tuberculosis Treatment. A Causal Associations Approach to Analyses of Digital Adherence Data

Rationale: Tuberculosis treatment lasts for 6 months or more. Treatment adherence is critical; regimen length, among other factors, makes this challenging. Globally, analyses mapping common types of nonadherence are lacking. For example, is there a greater challenge resulting from early treatment cessation (discontinuation) or intermittent missed doses (suboptimal dosing implementation)? This is essential knowledge for the development of effective interventions and more “forgiving” regimens, as well as to direct national tuberculosis programs.

Objectives: To granularly describe how patients take their tuberculosis medication and the temporal factors associated with missed doses.

Methods: The present study included patients with pulmonary tuberculosis enrolled in the control arm of a pragmatic, cluster-randomized trial in China of electronic reminders to improve treatment adherence. Treatment was the standard 6-month course (180 d), dosed every other day (90 doses). Medication monitor boxes recorded adherence (box opening) without prompting reminders. Patterns of adherence were visualized and described. Mixed-effects logistic regression models examined the temporal factors associated with per-dose suboptimal dosing implementation, adjusting for clustering within a participant. Cox regression models were used to examine the association between early suboptimal dosing implementation and permanent discontinuation.

Results: Across 780 patients, 16,794 (23.9%) of 70,200 doses were missed, 9,487 of which were from suboptimal dosing implementation (56.5%). By 60 days, 5.1% of participants had discontinued, and 14.4% had discontinued by 120 days. Most participants (95.9%) missed at least one dose. The majority of gaps were of a single dose (71.4%), although 22.6% of participants had at least one gap of 2 weeks or more. In adjusted models, the initiation–continuation phase transition (odds ratio, 3.07 [95% confidence interval, 2.68–3.51]) and national holidays (1.52 [1.39–1.65]) were associated with increased odds of suboptimal dosing implementation. Early-stage suboptimal dosing implementation was associated with increased discontinuation rates.

Conclusions: Digital tools provide an unprecedented step change in describing and addressing nonadherence. In our setting, nonadherence was common; patients displayed a complex range of patterns. Dividing nonadherence into suboptimal dosing implementation and discontinuation, we found that both increased over time. Discontinuation was associated with early suboptimal dosing implementation. These apparent causal associations between temporal factors and nonadherence present opportunities for targeted interventions.

Clinical trial registered with the ISRCTN Registry (ISRCTN46846388).

Adherence to Oral Nutritional Supplements After Being Discharged from the Hospital is Low but Improves Outcome in Patients with Advanced Chronic Liver Disease

PURPOSE

Patients with advanced chronic liver disease (ACLD) often have a poor nutritional status. In the management, current guidelines recommend dietary counseling and oral nutritional supplements (ONS). Nutritional goals and adherence to ONS are difficult to achieve while studies addressing adherence are scarce. We aimed to evaluate adherence to ONS, the associated factors, and its impact on outcome among ALCD patients who are discharged from the hospital.

PATIENTS AND METHODS

We identified consecutive hospitalized patients with ACLD from the cirrhosis registry and ONS prescription at discharge. Baseline demographics, anthropometrics, hand-grip strength (HGS), nutritional, and laboratory parameters were recorded. Adherence was assessed at 30, 90, and 180 days, but not in patients who did not survive or in those who underwent liver transplantation (LT) before the time-point.

RESULTS

From the registry containing 1004 patients, we included 450 cases, the median age was 56.3 (IQR 47-62), 60% were males, 63.8% had alcoholic etiology, and the median model for end-stage liver disease score (MELD) was 16 (11-21). During follow-up, 13.6%, 23.6%, and 31.1% of patients have died within 30, 90, and 180 days, respectively, and 21 underwent LT. Adherence to ONS in surviving patients was observed in 46%, 26.1%, and 16.9% within 30, 90, and 180 days, respectively. Baseline refractory ascites (HR=0.43, 0.24-0.76), HGS (HR=1.03, 1.01-1.06), and mid-arm circumference (HR=0.93, 0.88-0.99) were independently associated with 30-day adherence. Among patients who survived beyond 30 days, adherents for >30 days had improved synthetic liver function, HGS, a higher probability of LT (HR=1.7, 1.03-2.8) and lower risk of death (HR=0.65, 0.45-0.89), particularly those with MELD>16 (OR=0.55, 0.36-0.85) and low HGS (OR=0.61, 0.39-0.93).

CONCLUSION

In ACLD patients after discharge, adherence to ONS steeply declined and was associated with baseline refractory ascites and low muscle strength. Adherence to ONS also improved liver function, muscle strength, and survival.

Cognitive Reserve and Digital Confidence among Older Adults as New Paradigm for Resilient Aging

OBJECTIVE

The purpose of this study was to examine the digital confidence of elder adults and identify behavioral patterns for technology that are related to cognitive abilities among elders.

METHOD

An observational study was conducted using a sample of 94 elders, aged 53 to 86 years. Neuropsychological and emotional measures were used, and technology use was assessed.

RESULTS

Finding showed elders by resilient neuropsychological aspects can have a good affinity for technology. We examined the role of not only cognitive reserve levels but also demographic characteristics (i.e., age, educational level) and found that elderly were more adherent to digital resources. Technology can be a beneficial resource to those with medium levels of cognitive reserve and make them feel "like they are leading an active lifestyle."

CONCLUSIONS

The focal point of our findings is the relevance of cognitive reserve during older adulthood as a key factor that should be examined in investigations on successful aging; it would be more interesting to examine these factors within the context of analyses on the impact of technology on aging and digital living.

Performance of a short, self-report adherence scale in a probability sample of persons using HIV antiretroviral therapy in the United States

BACKGROUND

Excellent adherence to HIV antiretroviral therapy (ART) remains a cornerstone of HIV care. A three-item adherence self-report scale was recently developed and validated, but the scale has not been previously tested in a nationally representative sample.

DESIGN

We administered the adherence scale to participants in the Centers for Disease Control and Prevention's Medical Monitoring Project, which is a probability sample of US adults with diagnosed HIV.

METHODS

We combined sociodemographic and clinical participant data from three consecutive cycles of the Medical Monitoring Project (6/2015-5/2018). We used medical record reviews to determine most recent viral load, and whether viral loads were suppressed at all measurement points in the past 12 months. We describe the relationship between adherence scale score and two measures of viral load suppression (most recent and sustained), and estimate linear regression models using sampling weights to determine independent predictors of ART adherence scores.

RESULTS

Of those using ART, the median adherence score was 93 (100 = perfect adherence), and the standardized Cronbach's alpha was 0.83. For both measures of viral load suppression, the relationship with the adherence score was generally linear; there was no 'cutoff' point indicating good vs. poor adherence. In the multivariable model, younger age, nonwhite race, poverty, homelessness, depression, binge-drinking, and both non-IDU and IDU were independently associated with lower adherence.

CONCLUSION

The adherence measure had good psychometric qualities and a linear relationship with viral load, supporting its use in both clinical care and research. Adherence interventions should focus on persons with the highest risk of poor adherence.

Translation to English, cross-cultural adaptation, and pilot testing of the self-report questionnaire on swallowing difficulties with medication intake and coping strategies (SWAMECO) for adults with polypharmacy

OBJECTIVES

To translate the SWAMECO from German into English; to complete content and face validity with healthcare professionals (HCPs) and with patients from the target population that is, community-dwelling adult patients taking three or more medicines for three or more months.

DESIGN

The process followed guidance from Sousa et al and included translation and cross-cultural adaptation, and cognitive testing among selected HCPs and patients. As the SWAMECO questionnaire is a screening instrument, pilot testing was performed in the target population.

SETTING

Three community pharmacies in and around Cork (Ireland) recruited patients for interviews and pilot testing.

PARTICIPANTS

Community-dwelling patients with ≥3 oral medications for ≥3 months, aged ≥18 years.

OUTCOME MEASURES

Answers to the SWAMECO questionnaire; clarity of each question, each instruction and each response format.

RESULTS

Issues related to cultural and conceptual differences were resolved by rewording some items. Ten HCPs and 11 patients completed the questionnaire and gave their feedback and opinions on criteria according to Fitzpatrick et al. Revisions included rewording; deleting of two questions; using of colour to signpost that is, where to skip questions that were not applicable to the participants; and replacement of the A-14 medication adherence scale with three validated items. Of the 66 patients enrolled for pilot testing, eight (12.1%) indicated swallowing difficulties. Difficulties with ingesting foods or liquids correlated with swallowing difficulties (p=0.001). All patients perceived discomfort (mean 6.9 on a Visual Analogue Scale from 0 to 10). Patients with swallowing difficulties were significantly more likely to report modifying their medicines (p=0.004) and having poorer medication adherence (p=0.028) than those who had no swallowing difficulties.

CONCLUSIONS

The version of the SWAMECO questionnaire in English contains 28 items and is ready for use in adults with polypharmacy.

Impact of a Multicomponent Digital Therapeutic Mobile App on Medication Adherence in Patients with Chronic Conditions: Retrospective Analysis

BACKGROUND

Strategies to improve medication adherence are widespread in the literature; however, their impact is limited in real practice. Few patients persistently engage long-term to improve health outcomes, even when they are aware of the consequences of poor adherence. Despite the potential of mobile phone apps as a tool to manage medication adherence, there is still limited evidence of the impact of these innovative interventions. Real-world evidence can assist in minimizing this evidence gap.

OBJECTIVE

The objective of this study was to analyze the impact over time of a previously implemented digital therapeutic mobile app on medication adherence rates in adults with any chronic condition.

METHODS

A retrospective observational study was performed to assess the adherence rates of patients with any chronic condition using Perx Health, a digital therapeutic that uses multiple components within a mobile health app to improve medication adherence. These components include gamification, dosage reminders, incentives, educational components, and social community components. Adherence was measured through mobile direct observation of therapy (MDOT) over 3-month and 6-month time periods. Implementation adherence, defined as the percentage of doses in which the correct dose of a medication was taken, was assessed across the study periods, in addition to timing adherence or percentage of doses taken at the appropriate time (±1 hour). The Friedman test was used to compare differences in adherence rates over time.

RESULTS

We analyzed 243 and 130 patients who used the app for 3 months and 6 months, respectively. The average age of the 243 patients was 43.8 years (SD 15.5), and 156 (64.2%) were female. The most common medications prescribed were varenicline, rosuvastatin, and cholecalciferol. The median implementation adherence was 96.6% (IQR 82.1%-100%) over 3 months and 96.8% (IQR 87.1%-100%) over 6 months. Nonsignificant differences in adherence rates over time were observed in the 6-month analysis (Fr(2)=4.314, P=.505) and 3-month analysis (Fr(2)=0.635, P=.728). Similarly, the timing adherence analysis revealed stable trends with no significant changes over time.

CONCLUSIONS

Retrospective analysis of users of a medication adherence management mobile app revealed a positive trend in maintaining optimal medication adherence over time. Mobile technology utilizing gamification, dosage reminders, incentives, education, and social community interventions appears to be a promising strategy to manage medication adherence in real practice.

The Molecular-Container Calabadion-2 Prevents Methamphetamine-Induced Reinstatement in Rats: A Potential Approach to Relapse Prevention?

BACKGROUND

Reexposure to methamphetamine with a single "priming dose" can trigger intense cravings and precipitate relapse in methamphetamine-dependent individuals. The acyclic cucurbit[n]uril "molecular container" calabadion-2 shows a high affinity to bind and sequester methamphetamine in vitro and attenuates its locomotor-stimulating effect in rats. The present study investigates whether pretreatment with calabadion-2 is sufficient to prevent the reinstatement of drug seeking by a priming dose of methamphetamine in rats.

METHODS

Male Long-Evans rats were trained to self-administer i.v. methamphetamine (0.06 mg/kg/infusion). Following 10 days of stable self-administration, rats underwent extinction training and were subsequently tested on a multi-phase reinstatement procedure. Drug-primed reinstatement sessions (0.3 mg/kg methamphetamine, i.v.) were preceded by either saline or calabadion-2 (130 mg/kg). Additional reinstatement tests were conducted after administration of yohimbine (1.0 mg/kg, i.v.) to define the pharmacological specificity of calabadion-2.

RESULTS

Pretreatment with calabadion-2 significantly attenuated methamphetamine-induced reinstatement of responding. Cal2 did not affect drug-seeking behavior stimulated by the pharmacological stressor yohimbine, indicating a mechanism of action specific to methamphetamine.

CONCLUSIONS

These results demonstrate the effectiveness of calabadion-2 in a preclinical model relapse-like behavior. With further structural optimization, molecular containers may provide a novel and efficacious pharmacokinetic approach to relapse prevention for methamphetamine-dependent individuals.

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.

A Highly Tailored Text and Voice Messaging Intervention to Improve Medication Adherence in Patients With Either or Both Hypertension and Type 2 Diabetes in a UK Primary Care Setting: Feasibility Randomized Controlled Trial of Clinical Effectiveness

Background

The efficacy of a highly tailored digital intervention to support medication adherence and feasibility to support clinical effectiveness as an adjunct to the primary care setting has not been evaluated.

Objective

This trial aimed to assess the behavioral efficacy of a highly tailored digital intervention to support medication adherence and to evaluate the feasibility of its clinical effectiveness, in patients with either or both hypertension and type 2 diabetes. We also examined quality of life and mechanisms of behavior change. Intervention fidelity, engagement, and satisfaction were also explored.

Methods

This was a multicenter, individually randomized controlled trial of 2 parallel groups: an intervention group that received a highly tailored text message and interactive voice response intervention for 12 weeks, and a control group that received usual care. Medication adherence was measured using self-reports and assessor-blinded practice records of a repeat prescription. Systolic blood pressure and glucose levels were assessed by nurses blinded to group allocation during practice visits at 3 months follow-up. Questionnaires obtained data to assess intervention mechanisms of action and satisfaction and digital log files captured data to evaluate fidelity and engagement.

Results

A total of 135 nonadherent patients (62/135, 46% female; 122/135, 90.3%; aged above 50 years) were randomly allocated in the intervention (n=79) or in the control group (n=56); of whom 13% (18/135) were lost at follow-up. Medication adherence was significantly improved in the intervention group compared with the control group (t₁₁₆=2.27; P=.02, 2-tailed). Systolic blood pressure was 0.6 mmHg (95% CI −7.423 to 6.301), and hemoglobin A_1c was 4.5 mmol/mol (95% CI −13.099 to 4.710) lower in the intervention group compared with the control group. Changes in intentional nonadherence and nonintentional nonadherence explained the improvements in medication adherence in the intervention group (beta=.074, SE=0.464; P=.04), but not in the control group (beta=.00, SE 1.35; P=.37). The intervention had 100% fidelity, a median of 12 days of engagement, and 76% overall satisfaction.

Conclusions

Our trial is the first that has been conducted in the United Kingdom and showed that among nonadherent patients with either or both hypertension and type 2 diabetes, a highly tailored digital intervention was effective at improving treatment adherence and feasible to obtain clinically meaningful outcomes. Changes in intentional and nonintentional nonadherence predicted the improvements in medication adherence. The intervention had high fidelity, engagement, and satisfaction. Future research using a rigorous design is needed to evaluate the clinical effectiveness and cost-effectiveness of the intervention in primary care.

Trial Registration

International Standard Randomized Controlled Trial Number (ISRCTN) 10668149; http://www.controlled-trials.com/ISRCTN10668149.

Prediction and pattern analysis of medication refill adherence through electronic health records and dispensation data

BACKGROUND AND PURPOSE

Low adherence to medication in chronic disease patients leads to increased morbidity, mortality, and healthcare costs. The widespread adoption of electronic prescription and dispensation records allows a more comprehensive overview of medication utilization. In combination with electronic health records (EHR), such data provides new opportunities for identifying patients at risk of nonadherence and provide more targeted and effective interventions. The purpose of this article is to study the predictability of medication adherence for a cohort of hypertensive patients, focusing on healthcare utilization factors under various predictive scenarios. Furthermore, we discover common proportion of days covered patterns (PDC-patterns) for patients with index prescriptions and simulate medication-taking behaviours that might explain observed patterns.

PROCEDURES

We predict refill adherence focusing on factors of healthcare utilization, such as visits, prescription information and demographics of patient and prescriber. We train models with machine learning algorithms, using four different data splits: stratified random, patient, temporal forward prediction with and without index patients. We extract frequent, two-year long PDC-patterns using K-means clustering and investigate five simple models of medication-taking that can generate such PDC-patterns.

FINDINGS

Model performance varies between data splits (AUC test set: 0.77-0.89). Including historical information increases the performance slightly in most cases (approx. 1-2% absolute AUC uplift). Models show low predictive performance (AUC test set: 0.56-0.66) on index-prescriptions and patients with sudden drops in PDC (Recall: 0.58-0.63). We find 21 distinct two-year PDC-patterns, ranging from good adherence to intermittent gaps and early discontinuation in the first or second year. Simulations show that observed PDC-patterns can only be explained by specific medication consumption behaviours.

CONCLUSIONS

Prediction models developed using EHR exhibit bias towards patients with high healthcare utilization. Even though actual medication-taking is not observable, consumption patterns may not be as arbitrary, provided that medication refilling and consumption is linked.

Validation of a Novel Electronic Device for Medication Adherence Monitoring of Ambulatory Patients

Several methods exist for measuring medication adherence. The Time4Med^TM device (Adherence Innovations, Hong Kong) is a small, electronic card to affix on medication packaging that records date and time of intakes when a button is pushed. We aimed to validate the device with an emphasis on polypharmacy. Twenty volunteers used Time4Med^TM devices with a virtual thrice daily intake over 14 days. Diary-recorded date and time were compared to electronically-stored events. Functionality, reliability and recovery for different stress conditions were calculated. User‘s acceptability was assessed with the System Usability Scale (SUS). Eleven elderly outpatients (mean age 80.2 ± 8.1 years) taking >3 medications daily used the device over 4 weeks. Volunteers logged 847 events. Functionality (100%), sensitivity (94.9%), specificity (99.4%) and recovery (100%) were high. Dropping the smart card and storing it in a refrigerator caused either the recording of false events or no recording at all. The mean SUS score was 82.6 (SD 14.8), demonstrating excellent acceptability. Satisfaction was very high for volunteers and patients, except for pushing the button. Time4Med^TM devices are highly accurate in recording, retaining and delivering electronic data of multiple medication intake. They are well accepted by elderly patients. They can be recommended in clinical studies and for practitioners who desire to elucidate adherence patterns of ambulatory patients.

Mobile and Connected Health Technology Needs for Older Adults Aging in Place: Cross-Sectional Survey Study

BACKGROUND

An increasing number of mobile and wearable devices are available in the market. However, the extent to which these devices can be used to assist older adults to age in place remains unclear.

OBJECTIVE

This study aimed to assess older adults' perceptions of using mobile and connected health technologies.

METHODS

Using a cross-sectional design, a total of 51 participants were recruited from a senior community center. Demographics and usage of mobile or wearable devices and online health communities were collected using a survey questionnaire. Descriptive statistics assessed usage of devices and online health communities. The Fisher exact test was used to examine the relationship between technology usage and having access to a smartphone.

RESULTS

The sample was primarily comprised non-Hispanic white (35/51, 69%), educated (39/51, 76% any college), and female (36/51, 71%) participants, with an average age of 70 (SD 8) years. All participants were insured and nearly all lived at home (49/51, 94%). A total of 86% (44/51) of the participants had heard of wearable health devices, but only 18 out of 51 (35%) had ever used them. Over 80% (42/51) expressed interest in using such devices and were interested in tracking exercise and physical activity (46/51, 90%), sleep (38/51, 75%), blood pressure (34/51, 67%), diet (31/51, 61%), blood sugar (28/51, 55%), weight (26/51, 51%), and fall risk (23/51, 45%). The greatest concerns about using wearable devices were cost (31/51, 61%), safety (14/51, 28%), and privacy (13/51, 26%); one-fourth (12/51) reported having no concerns. They were mostly interested in sharing data from mobile and connected devices with their health care providers followed by family, online communities, friends, and no one. About 41% (21/51) of the older adults surveyed reported having ever heard of an online health community, and roughly 40% (20/51) of the participants reported being interested in joining such a community. Most participants reported having access to a smartphone (38/51, 74%), and those with such access were significantly more likely to show interest in using a wearable health device (P<.001) and joining an online health community (P=.05).

CONCLUSIONS

Our findings suggest that, although few older adults are currently using mobile and wearable devices and connected health technologies for managing health, they are open to this idea and are mostly interested in sharing such data with their health care providers. Further studies are warranted to explore strategies to balance the data sharing preference of older adults and how to best integrate mobile and wearable device data with clinical workflow for health care providers to promote healthy aging in place.