A new taxonomy for describing and defining adherence to medications

Polypharmacy and medication fill nonadherence in a population-based sample of adolescent and young adult cancer survivors, 2008-2017

PURPOSE

We examined the association between polypharmacy-an established risk factor for nonadherence in the elderly-and medication fill nonadherence in a large national sample of adolescent and young adult cancer survivors (AYAs) in the USA.

METHODS

We pooled data (2008-2017) from the Medical Expenditure Panel Survey. We defined polypharmacy as ≥ 3 unique medications prescribed, based on self-report and pharmacy data, and medication fill nonadherence as self-reported delay or inability to obtain a necessary medication. We estimated prevalence of medication fill nonadherence among AYAs (age 18-39 years with a cancer history). We used logistic regression to estimate the association between (1) polypharmacy and medication fill nonadherence in AYAs, and (2) total number of medications prescribed and medication fill nonadherence, controlling for sex, number of chronic conditions, disability, and survey year.

RESULTS

AYAs (n = 598) were predominantly female (76.2%), age 30-39 years (64.9%), and non-Hispanic White (72.1%). Nearly half were poor (19.0%) or near-poor/low income (21.6%). One in ten AYAs reported medication fill nonadherence (9.75%). Of these, more than 70% cited cost-related barriers as the reason. AYAs with polypharmacy had 2.49 times higher odds of medication fill nonadherence (95%CI 1.11-5.59), compared to those without polypharmacy. Odds of medication fill nonadherence increased by 16% with each additional medication prescribed (AOR 1.16, 95% CI 1.07-1.25).

CONCLUSIONS

Polypharmacy may be an important risk factor for medication fill nonadherence in AYAs in the USA.

IMPLICATIONS FOR CANCER SURVIVORS

Improving AYAs' medication adherence requires eliminating cost-related barriers, particularly for those with polypharmacy.

ADA_ETA_BIO2021: real-world evaluation of adherence, persistence, and cost-effectiveness of originator and biosimilar biologic drugs in the treatment of rheumatoid arthritis: a multicenter study in Italy

OBJECTIVES

The objective was to assess the adherence, persistence, and costs of bDMARDs through a multicentre study of nine Italian hospital pharmacies.

METHODS

The drugs analysed were Abatacept, Adalimumab, Certolizumab, Etanercept, Golimumab and Tocilizumab.Adult subjects with Rheumatoid Arthritis were considered in the analysis.In this study, we calculated the following metrics: Adherence to treatment was evaluated as dose-intensity, which is the ratio between the amount of medication received and probably taken by the patient at home (Received Daily Dose, RDD) and the amount prescribed by the clinician (Prescribed Daily Dose, PDD). Persistence was calculated as the number of days between the first and last dispensing of the same drug. Lastly, costs were assessed based on persistence to treatment and normalized for adherence.

RESULTS

Adherence to treatment was found to be above 0.8 for all drugs studied. The median persistence for a 5-year treatment period was 1.4 years for Abatacept, 1.7 years for Adalimumab, 1.8 years for Certolizumab, 1.4 years for Etanercept, 1.3 years for Golimumab, and 1.6 years for Tocilizumab.

CONCLUSIONS

This multicentre retrospective observational study of bDMARDs used in the treatment of RA showed that, for all the drugs studied, there was no problem with adherence to treatment but rather a difficulty in maintaining treatment with the same drug over time.

A Descriptive, Correlational Study of Perceptions of Adult Kidney Transplant Recipients and Those Waiting for a Kidney Transplant About Managing Their Medications During a Pandemic

Introduction: Little is known about COVID-19 impact on patient medication management. Research Question: The aim was to describe medication management, healthcare team interactions, and adherence during the COVID-19 pandemic in kidney transplant patients and those on the kidney transplant wait list. Design: Using a descriptive, correlational design 340 adults from a midwestern US transplant program were recruited. The Managing Medications in the Midst of a Pandemic Survey measured healthcare team encounters and medication management. The Basel assessment of adherence to medications scale measured medication adherence. Results: The response rate was 35% (119/340). During the pandemic, 88% had practiced/were currently practicing socially distancing, 85% had worn/were currently wearing a face mask in public, 18% had been/were currently diagnosed with COVID-19 and 82% received the vaccine. Medication management: 76% planned and organized their own medications. Healthcare team interactions: 89% met in the office, 20% via phone, 12% telehealth, and 13% delayed seeing a healthcare provider because of COVID-19 concerns. Pharmacy interactions: 11% changed their method of obtaining medications from pharmacy due to social distancing. Medication adherence implementation was problematic with 19% missing a dose; results from the binary logistic regression suggested that those with higher levels of education were more likely to report missing a dose. Conclusions: Patients acted to prevent COVID-19 but some still contracted the virus. The pandemic changed healthcare team medication management interactions. Adherence implementation problems were nearly 20%. Findings are relevant to the transplant healthcare team to understand the impact of a pandemic on patient/team interactions and medication adherence.

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.

"It's just like putting your socks on": patients' perspectives on inflammatory bowel disease medication adherence

Background

A careful, often life-long, medication regimen is central to therapy for Inflammatory Bowel Disease (IBD) - a chronic gut disorder. Hence, medication adherence (MA) - patients taking medications in line with prescription - is important. Previous research indicates that a third of patients with IBD in southern New Zealand have poor medication adherence (MA).

Objective

This study investigated these patients' experiences to determine factors that influence their MA, for the first time.

Methods

Two focus group discussions (FGDs) were held with IBD patients in Otago, New Zealand. Reflexive thematic analysis from a 'direct realist' viewpoint was used to analyse the data.

Results

Data were analysed in three segments: perceptions, experiences and support. Participants perceived MA as a "duty" that was very important to their wellbeing. The participants' MA was centred around a routine requiring proactivity to maintain. MA was negatively impacted by side effects and regimen factors including (high) pill numbers/dose frequency, and getting refills was framed as challenging; whilst healthcare professionals were presented as major MA facilitators. Lastly, the support structures identified included family, friends and colleagues as well as targeted health system factors e.g. medication subsidies.

Conclusions

Factors spanning those related to the patients, their socioeconomic status, the disease, IBD therapy and the health system were presented as influencing IBD patients' MA in southern NZ. Thus, multifaceted interventions are needed across the health system to overcome the inhibiting and promote the facilitating elements.

Effectiveness of the Brief Guided Self-Change Therapy Combined with Varenicline under "Real-Life" Conditions and Mediators for Smoking Cessation

Background: Brief therapies have proven to reduce tobacco cost-effectively, however, unsuccessful quit attempts remain notable in real-life conditions, and the underlying mechanisms of treatment success are still unclear. Objectives: We aimed to analyze the effectiveness of the Guided Self-Change (GSC) therapy combined with varenicline (VAR+T) in public health services against varenicline alone (VAR), and to identify mediators of treatment outcomes. We conducted a two-arm quasi-experimental study with 126 treatment-seeking smokers (age=57.3±9.1 years; 59.5% women). Before treatment, and at weeks 12 and 24, we assessed tobacco use and five potential mediators: withdrawal, craving, motivation to quit, anxiety, and depression. Results: Only 25% of participants adhered to varenicline prescription, and 54% to GSC therapy. VAR+T group showed a greater proportion of abstainers compared to VAR group at week 12 (75% vs 57.4%; φc=0.21) and week 24 (62.9% vs 52.5%; φc=0.10). When controlling for weeks taking varenicline, motivation showed a significant indirect effect over abstinence rates in VAR+T compared with VAR (a1b1=1.34; 95%CI=0.04, 5.03). Conclusions: The GSC effectiveness seems to increase motivation which in turn contributes to reducing tobacco use. The implementation of GSC therapy in public health services could minimize treatment duration and increase smoking abstinence in 'real-life' conditions where varenicline adherence remains low.

Patient Adherence to Oral Anticancer Agents: A Mapping Review of Supportive Interventions

The development and use of oral anticancer agents (OAAs) continue to grow, and supporting individuals on OAAs is now a priority as they find themselves taking these drugs at home with little professional guidance. This mapping review provides an overview of the current evidence concerning OAA-supportive adherence interventions, identifying potential gaps, and making recommendations to guide future work. Four large databases and the grey literature were searched for publications from 2010 to 2022. Quantitative, qualitative, mixed-method, theses/dissertations, reports, and abstracts were included, whereas protocols and reviews were excluded. Duplicates were removed, and the remaining publications were screened by title and abstract. Full-text publications were assessed and those meeting the inclusion criteria were retained. Data extracted included the year of publication, theoretical underpinnings, study design, targeted patients, sample size, intervention type, and primary outcome(s). 3175 publications were screened, with 435 fully read. Of these, 314 were excluded with 120 retained. Of the 120 publications, 39.2% (n = 47) were observational studies, 38.3% (n = 46) were quasi-experimental, and 16.7% (n = 20) were experimental. Only 17.5% (n = 21) were theory-based. Despite the known efficacy of multi-modal interventions, 63.7% (n = 76) contained one or two modalities, 33.3% (n = 40) included 3, and 3.3% (n = 4) contained four types of modalities. Medication adherence was measured primarily through self-report (n = 31) or chart review/pharmacy refills (n = 28). Given the importance of patient tailored interventions, future work should test whether having four intervention modalities (behavioral, educational, medical, and technological) guided by theory can optimize OAA-related outcomes.

Pharmacist-Led Interventions for Medication Adherence in Patients with Chronic Kidney Disease: A Scoping Review

BACKGROUND

Patients with chronic kidney disease (CKD) are routinely prescribed complex medication regimes. Medication reconciliation, medicine reviews, patient counselling and disease state and medication education are all key pharmacist-led interventions, which can improve medication adherence in patients with CKD.

AIM

To characterize peer reviewed literature on the role of pharmacists in supporting medication adherence of patients with chronic kidney disease and highlight the impact they might have in the health outcomes for patients.

METHOD

This review was performed in accordance with the Scoping Review Framework outlined in the Joanna Briggs Institute Reviewer's Guide. Four electronic databases were searched (Medline (Ovid), Emcare, Scopus and Web of Science) for all relevant literature published up until November 2022. A total of 32 studies were reviewed against an exclusion and inclusion criteria, with findings from each study categorized into barriers, interventions, perceptions, financial implications and outcomes.

RESULTS

Eight eligible studies were identified, where pharmacists' interventions including medication reconciliation, medicine reviews, patient counselling and disease state and medication education, were all reported to have a positive effect on medication adherence. Although pharmacy services in chronic kidney disease were acceptable to patients and pharmacists, these services were under-utilized and limited by logistical constraints, including staffing shortages and time limitations. Patient education supplemented with education tools describing disease states and medications was reported to increase patient adherence to medication regimes.

CONCLUSIONS

Pharmacist-led interventions play an integral role in improving medication adherence in patients with chronic kidney disease, with their inclusion in renal care settings having the potential to improve outcomes for patients.

Nonadherence to Immunosuppressants Among Transplant Recipients: Emotional Intelligence as a Predictive Factor During COVID-19 Pandemic

Purpose

To evaluate the association between emotional intelligence and fear of COVID-19 on self-reported adherence, based on a cross-sectional design.

Patients and Methods

Transplants recipient of both sexes aged 23-75 years old were evaluated at the Organ Transplant Unit, University Hospital of Catania, Italy. Data were analyzed using frequency, descriptives, Spearman and Pearson correlations, Chi-square goodness of fit test, and linear regression. Self-reported adherence was estimated with the Basel Assessment of Adherence with Immunosuppressive Medication Scale (BAASIS). Emotional intelligence and fear of COVID were, respectively, measured with the Emotional Intelligence Scale (EIS) and Multidimensional Assessment of COVID-19 Related Fears Scale (MAC-RF). This was a cross-sectional study of kidney transplant recipients. In reporting this study the authors followed the STROBE guidelines.

Results

A correlation was found between EIS and MAC and between EIS and adherence but there was no correlation between MAC and adherence. A linear regression model was also conducted using a stepwise method, which indicated that EIS was a significant predictor of adherence (p <0.05).

Conclusion

This study was found that EIS is a predictor of adherence to treatment in transplant patients. Fear of COVID, while positively correlated to EIS, is not correlated to the adherence's outcome, possibly due to the proper follow-up performed to the patients. Indeed, according to these results, we suggest to provide good follow-ups with recipients, with interviews also based on self-regulation and awareness.

Predicting Adherence to Behavior Change Support Systems Using Machine Learning: Systematic Review

BACKGROUND

There is a dearth of knowledge on reliable adherence prediction measures in behavior change support systems (BCSSs). Existing reviews have predominately focused on self-reporting measures of adherence. These measures are susceptible to overestimation or underestimation of adherence behavior.

OBJECTIVE

This systematic review seeks to identify and summarize trends in the use of machine learning approaches to predict adherence to BCSSs.

METHODS

Systematic literature searches were conducted in the Scopus and PubMed electronic databases between January 2011 and August 2022. The initial search retrieved 2182 journal papers, but only 11 of these papers were eligible for this review.

RESULTS

A total of 4 categories of adherence problems in BCSSs were identified: adherence to digital cognitive and behavioral interventions, medication adherence, physical activity adherence, and diet adherence. The use of machine learning techniques for real-time adherence prediction in BCSSs is gaining research attention. A total of 13 unique supervised learning techniques were identified and the majority of them were traditional machine learning techniques (eg, support vector machine). Long short-term memory, multilayer perception, and ensemble learning are currently the only advanced learning techniques. Despite the heterogeneity in the feature selection approaches, most prediction models achieved good classification accuracies. This indicates that the features or predictors used were a good representation of the adherence problem.

CONCLUSIONS

Using machine learning algorithms to predict the adherence behavior of a BCSS user can facilitate the reinforcement of adherence behavior. This can be achieved by developing intelligent BCSSs that can provide users with more personalized, tailored, and timely suggestions.

Drug Utilization and Measurement of Medication Adherence: A Real World Study of Psoriasis in Italy

Exceptional advances have been made with systemic treatment for psoriasis (PSO). However, that disease still represents a heavy burden in terms of impact on healthcare systems worldwide. This study comprehensively assesses medication adherence in a real world setting in Italy across all phases-initiation, implementation, and persistence-of PSO therapies. By distinguishing between switches and swaps, it provides unique insights into the patient's own approach to prescribed therapy as well as clinical decision-making processes, enhancing our understanding of medication adherence and discontinuation in a real world daily setting. The study's refined methodology for assessing persistence, considering variations in refill gaps and complex dosing regimens, shows that anti-interleukin (IL) therapies are associated with longer periods of adherence compared with other available therapeutic strategies. Among the selected drugs, ixekizumab and secukinumab were the ones with higher rate of treatment adherence at the expense of anti-TNF-α and anti-PDE4 agents. Notably, patients who opt for swaps are approximately 2.8 times more likely to discontinue their PSO therapy within one year. These findings carry practical implications for optimizing medication adherence, including tailored patient counseling, monitoring, and therapeutic adjustments, highlighting the need for a comprehensive and patient-centered approach to managing these conditions.

Psychosocial interventions to improve adherence in depressed and anxious older adults prescribed antidepressant pharmacotherapy: a scoping review

Medication nonadherence in depressed and anxious older adults is prevalent and associated with non-response to antidepressant pharmacotherapy. Evidence-based options to improve medication adherence are limited in this population. To review the state of the literature on the types and efficacy of psychosocial interventions for improving antidepressant pharmacotherapy adherence in depressed and anxious older adults. We conducted a scoping review according to PRISMA-ScR guidelines. PubMed/Medline and article references starting in 1980 up to 28 February 2023 were reviewed. Of the 710 records screened, 4 psychosocial interventions were included in the review. All studies included depressed older adults, and none included anxious older adults. Samples included racial and ethnic minorities and were primarily women. The psychosocial interventions consisted mainly of psychoeducation with usual care as the control comparison. Measures of antidepressant adherence included self-reported adherence or pill counting. Three of the four randomized controlled trials improved medication adherence rates and reduced depression symptom burden. Effective interventions exist for improving antidepressant medication adherence in depressed older adults. Improved adherence can reduce depression symptom burden. The lack of interventions for anxious older adults highlights the need to develop and deliver interventions for anxious older adults prescribed antidepressant pharmacotherapy.

Influence of cardiovascular risk factors and treatment exposure on cardiovascular event incidence: Assessment using machine learning algorithms

Assessment of the influence of cardiovascular risk factors (CVRF) on cardiovascular event (CVE) using machine learning algorithms offers some advantages over preexisting scoring systems, and better enables personalized medicine approaches to cardiovascular prevention. Using data from four different sources, we evaluated the outcomes of three machine learning algorithms for CVE prediction using different combinations of predictive variables and analysed the influence of different CVRF-related variables on CVE prediction when included in these algorithms. A cohort study based on a male cohort of workers applying populational data was conducted. The population of the study consisted of 3746 males. For descriptive analyses, mean and standard deviation were used for quantitative variables, and percentages for categorical ones. Machine learning algorithms used were XGBoost, Random Forest and Naïve Bayes (NB). They were applied to two groups of variables: i) age, physical status, Hypercholesterolemia (HC), Hypertension, and Diabetes Mellitus (DM) and ii) these variables plus treatment exposure, based on the adherence to the treatment for DM, hypertension and HC. All methods point out to the age as the most influential variable in the incidence of a CVE. When considering treatment exposure, it was more influential than any other CVRF, which changed its influence depending on the model and algorithm applied. According to the performance of the algorithms, the most accurate was Random Forest when treatment exposure was considered (F1 score 0.84), followed by XGBoost. Adherence to treatment showed to be an important variable in the risk of having a CVE. These algorithms could be applied to create models for every population, and they can be used in primary care to manage interventions personalized for every subject.

Pharmacoepidemiology: An Overview

The aims of this review are to provide a comprehensive overview of the definition and scope of pharmacoepidemiology, to summarize the study designs and methodologies used in the field, to discuss the future trends in the field and new methodologies to address bias and confounding, and finally to give some recommendations to clinicians interested in pharmacoepidemiologic research. Because drug efficacy and safety from randomized clinical trials do not reflect the real-world situation, pharmacoepidemiological studies on drug safety monitoring and drug effectiveness in large numbers of people are needed by healthcare professionals and regulatory institutions. We aim to highlight the importance of pharmacoepidemiologic research in informing evidence-based medicine and public health policy. The development of new designs and methodologies for the generation of valid evidence, as well as new initiatives to provide guidance and recommendations on how to incorporate real-world evidence into the drug development process, are reported on. In addition, we have touched on the implication of artificial intelligence in the management of real-world data. This overview aims to summarize all important aspects to consider when conducting or interpreting a pharmacoepidemiologic study.

A global systematic overview of socioeconomic factors associated with antidiabetic medication adherence in individuals with type 2 diabetes

BACKGROUND

Antidiabetic medication adherence is a key aspect for successful control of type 2 diabetes mellitus (T2DM). This systematic review aims to provide an overview of the associations between socioeconomic factors and antidiabetic medication adherence in individuals with T2DM.

METHODS

A study protocol was established using the PRISMA checklist. A primary literature search was conducted during March 2022, searching PubMed, Embase, Web of Science, as well as WorldCat and the Bielefeld Academic Search Engine. Studies were included if published between 1990 and 2022 and included individuals with T2DM. During primary screening, one reviewer screened titles and abstracts for eligibility, while in the secondary screening, two reviewers worked independently to extract the relevant data from the full-text articles.

RESULTS

A total of 15,128 studies were found in the primary search, and 102 were finally included in the review. Most studies found were cross-sectional (72) and many investigated multiple socioeconomic factors. Four subcategories of socioeconomic factors were identified: economic (70), social (74), ethnical/racial (19) and geographical (18). The majority of studies found an association with antidiabetic medication adherence for two specific factors, namely individuals' insurance status (10) and ethnicity or race (18). Other important factors were income and education.

CONCLUSIONS

A large heterogeneity between studies was observed, with many studies relying on subjective data from interviewed individuals with a potential for recall bias. Several socioeconomic groups influencing medication adherence were identified, suggesting potential areas of intervention for the improvement of diabetes treatment adherence and individuals' long-term well-being.

Medication adherence and pharmaceutical design strategies for pediatric patients: An overview

Medication adherence in pediatric patients is a key factor in drug development and dosage form design. High medication adherence is not only important to achieve the expected treatment effects but can also effectively reduce medical costs. It is an ongoing task to accurately identify differences in medication adherence between children and adults and analyze the factors related to pediatric medication adherence. This is necessary to guide the development of pediatric drugs. This review focuses on factors that influence pediatric medication adherence as well as pharmaceutical design strategies to improve adherence. Current new dosage forms, new technologies, and new devices are comprehensively summarized in terms of their advantages and limitations.

Medication persistence among people with multiple sclerosis in Slovenia treated with dimethyl fumarate

OBJECTIVE

Multiple sclerosis is a chronic, demyelinating inflammatory disease of the central nervous system. Medication persistence is defined as an interval between the initiation and last dose of the applied medication and presents a useful surrogate marker of a stable disease course. This observational study aimed to evaluate medication persistence and discontinuation reasons in Slovenian people with multiple sclerosis treated with dimethyl fumarate.

METHODS

Our retrospective cohort study evaluated people with relapsing-remitting multiple sclerosis treated with dimethyl fumarate as an initial monotherapy or switched from injectable disease-modifying therapy medication between 2014 and 2021. Medication dispenses were extracted from the Slovenian National Institute of Public Health Outpatient Medication Database. The medication persistence criterion was based on the treatment gap. Patients exceeding a 60-day gap were considered nonpersistent. The median time to discontinuation was assessed using survival analyses. Considering discontinuation reasons, patients were further divided into safety and inefficacy groups. Due to the high probability of adverse effects, patients exceeding a 60-day gap were included in the safety group, but definite discontinuation reason remains unknown. The impact of covariates was evaluated by Cox regression.

RESULTS

A total of 269 patients were included (183 women, mean age 37 years). During the 7-year follow-up period, 123 (45.7%) patients discontinued treatment. The median time to discontinuation was 5.6 years. After 1, 2, and 5 years of treatment, 84%, 77%, and 57% of patients were found to be persistent, respectively. All patients older than 30 years (p = 0.0013) and among them, those in the inefficacy group (p = 0.037) were more likely to be persistent.

CONCLUSIONS

The results of our study proved a high persistence rate among our patients. The most frequent discontinuation reason was gastrointestinal adverse effects. Medication persistence requires interventions in younger patients with an unstable disease course.

Longitudinal Trajectory Modeling to Assess Adherence to Sacubitril/Valsartan among Patients with Heart Failure

Medication adherence in chronic conditions is a long-term process. Modeling longitudinal trajectories using routinely collected prescription data is a promising method for describing adherence patterns and identifying at-risk groups. The study aimed to characterize distinct long-term sacubitril/valsartan adherence trajectories and factors associated with them in patients with heart failure (HF). Subjects with incident HF starting sac/val in 2017-2018 were identified from the Campania Regional Database for Medication Consumption. We estimated patients' continuous medication availability (CMA9; R package AdhereR) during a 12-month period. We selected groups with similar CMA9 trajectories (Calinski-Harabasz criterion; R package kml). We performed multinomial regression analysis, assessing the relationship between demographic and clinical factors and adherence trajectory groups. The cohort included 4455 subjects, 70% male. Group-based trajectory modeling identified four distinct adherence trajectories: high adherence (42.6% of subjects; CMA mean 0.91 ± 0.08), partial drop-off (19.6%; CMA 0.63 ± 0.13), moderate adherence (19.3%; CMA 0.54 ± 0.11), and low adherence (18.4%; CMA 0.17 ± 0.12). Polypharmacy was associated with partial drop-off adherence (OR 1.194, 95%CI 1.175-1.214), while the occurrence of ≥1 HF hospitalization (OR 1.165, 95%CI 1.151-1.179) or other hospitalizations (OR 1.481, 95%CI 1.459-1.503) were associated with low adherence. This study found that tailoring patient education, providing support, and ongoing monitoring can boost adherence within different groups, potentially improving health outcomes.

The impact of trust in healthcare and medication, and beliefs about medication on medication adherence in a Dutch medication-using population

INTRODUCTION

Trust in healthcare and medication, defined as feelings of reassurance and confidence in the healthcare system or medication, may be a key prerequisite before engaging in the use of medication. However, earlier studies have focussed on beliefs about medication rather than trust as predictors of medication adherence. This study therefore aims to simultaneously explore the relationship of trust in healthcare, medication and beliefs about medication, with medication adherence.

METHODS

In a cross-sectional study, an online questionnaire was sent out to 1500 members of the Dutch Health Care Consumer Panel of Nivel in November 2018. Respondents were asked to grade their level of trust in healthcare and medication (scale 1-10). The Beliefs About Medicines Questionnaire (BMQ) for general and specific medication beliefs was used to address beliefs, the Medication Adherence Report Scale (MARS-5) to measure medication adherence. Data were analysed using structural equation modelling (SEM) with a backward stepwise approach. Out of 753 people that completed the questionnaire, 407 people used prescription medication and were included in the analyses.

RESULTS

A positive association between trust in medication and medication adherence was found (0.044, p < 0.05). BMQ subscales Overuse (-0.083, p < 0.05), Necessity (0.075, p < 0.05) and Concerns (-0.134, p < 0.01) related with medication adherence. BMQ subscale Harm did not relate to medication adherence.

CONCLUSION

Trust in medication and beliefs about medication were both individually associated with medication adherence. Healthcare providers should therefore not only focus on patients' medication beliefs, but also on strengthening patients' trust in medication to improve medication adherence.

Optimizing medication adherence with home-monitoring - A feasibility study using capillary microsampling and mHealth in solid organ-transplanted adolescents

BACKGROUND

Reliable methods to detect and reduce medication nonadherence in solid organ-transplanted (SOT) adolescents are warranted. We aimed to evaluate the feasibility of combining a medication-manager application (TusenTac®-app) with home-sampling of tacrolimus (Tac) in young SOT recipients.

METHODS

Kidney and combined SOT recipients between 14 and 25 years were included. During an 8-week intervention period, the participants were instructed to use the transplant-specific, age-adapted TusenTac®-app daily and to perform weekly at-home Tac trough finger-prick microsampling. Microsample Tac concentrations were controlled against timed venous samples twice. Medication implementation and persistence adherence were measured with BAASIS© questionnaires, TusenTac®-registrations, Tac trough concentration coefficient of variation (CV%) and self-reporting by interview. For comparison, venous Tac trough CV% were obtained from the year before and after the short-term intervention.

RESULTS

Twenty-two recipients were included, two withdrawals, leaving 20; median age 17.9 (14.5-24.8) years, 12 females (60%). The participants registered their dosage intake 88% (1502/1703) of the expected times, and 90% (106/118) of the microsamples were obtained correctly. At inclusion, 11 recipients (55%) were nonadherent assessed with BAASIS© questionnaire, four of these (36%) turned adherent during the intervention period. At the end, 70% reported improved timing-adherence at the interview. There was no significant change in TacCV% from the year before to the year after the short-term intervention. Home-sampling was reliable and measured Tac concentrations accurately.

CONCLUSIONS

Home-monitoring, combining Tac finger-prick microsampling and a medication-manager app, is feasible in adolescent SOT recipients with 70% perceived improvement in medication timing-adherence. There were no significant long-term changes in TacCV% confirming the need for continuous use and individualized interventions.

Patient Adherence to Secondary Prevention Therapies After an Acute Coronary Syndrome: A Scoping Review

PURPOSE

Adherence to guideline-recommended, long-term secondary preventative therapies among patients with acute coronary syndrome (ACS) is fundamental to improving long-term outcomes. The purpose of this scoping review was to provide a broad synopsis of pertinent studies in a structured and comprehensive way regarding factors that influence patient adherence to medical therapy after ACS.

METHODS

Relevant articles focusing on adherence to medical therapy after ACS were retrieved from the EMBASE and MEDLINE databases (search date, September 7, 2021). Studies were independently screened, and relevant information was extracted.

FINDINGS

A total of 58 studies were identified by using the EMBASE and MEDLINE databases. Adherence to secondary prevention was moderate to low and steadily decreased over time. Nearly 30% of patients discontinued one or more medications within 90 days of their primary ACS, and adherence decreased to 50% to 60% at 1 year postdischarge. There were no major differences in adherence between drug classes. Factors influencing patient adherence can be broadly divided into 3 categories: patient related, health care system related, and disease related. Patients managed with percutaneous coronary interventions were more adherent to follow-up treatment than medically managed patients. Depression was reported as a major psychological factor that negatively affected adherence. Improved adherence was observed when higher levels of patient education and provider engagement were delivered during postdischarge follow-up, particularly when scheduled early. Notably, the incidence of major adverse cardiovascular events was lower in hospitals with high 90-day medication adherence than those with moderate or low adherence.

IMPLICATIONS

Patient nonadherence to guideline-recommended long-term pharmacologic secondary preventative therapies after ACS is multifactorial. A comprehensive multifaceted approach should be implemented to improve adherence and clinical outcomes. This approach should include key interventions such as early follow-up visits, high medication adherence at 90 days, patient engagement and education, and development of novel interventions that support the 3 broad categories influencing patient adherence as discussed in this review.

Patient compliance: A concept analysis

Background

Patient compliance with regimens is one of the most researched and least-understood behavioral concerns in the healthcare profession due to the many meanings employed in multidiscipline over time. Thus, a thorough examination of the idea of patient compliance is necessary.

Objective

This paper aims to explore and identify the essence of the term patient compliance to achieve an operational definition of the concept.

Method

Walker and Avant's eight-step approach was used. A literature search was conducted using keywords of patient compliance AND healthcare profession from five databases: PubMed, Medline, CINAHL, ProQuest, ScienceDirect, and Cochrane database, published from 1995 to 2022.

Results

The attributes of patient compliance include 1) self-care behavior, 2) following health recommendations, and 3) willing collaboration with health professionals. Antecedents of patient compliance were characteristics of therapeutic regimens, communication of health advice, and patients' attitudes toward professional recommendations. Consequences include improved clinical outcomes, quality of life, and lifestyle or behavior modification.

Conclusion

This concept analysis offers a valuable perspective on patient compliance that guides the nursing practice in providing better interventions to promote compliance among patients.

Shared decision making and medication adherence in patients with COPD and/or asthma: the ANANAS study

Background: Medication adherence to inhalation medication is suboptimal in patients with COPD and asthma. Shared decision making (SDM) is proposed as an intervention to improve medication adherence. Despite its wide promotion, evidence of SDM's association with greater medication adherence is scarce. Also, it is unknown to what degree patients presently experience SDM and how it is associated with medication adherence. Objective: To (i) assess the level of SDM and (ii) medication adherence, (iii) explore the relation between SDM and medication adherence and iv) investigate possible underlying mechanisms. Methods: Cross-sectional observational study. A survey was distributed among Dutch patients with COPD and/or asthma using inhaled medication. Medication adherence was measured using the Test of Adherence to Inhalers (TAI-10), and SDM by the 9-item Shared Decision-Making questionnaire (SMD-Q-9). Feeling of competence, relatedness and feeling of autonomy from the Self-Determination Theory (SDT) were considered as possible mechanisms. The primary outcome was adherence. Results: A total of 396 patients with complete information on relevant covariates were included. Mean SDM-Q-9 score was 26.7 (SD 12.1, range 0-45) and complete adherence was 41.2%. The odds ratio for the association of SDM with adherence was 1.01 (95% CI: 0.99, 1.02). This only changed minimally when adjusted for mediators (mediating effect <3%). Conclusion: The patient experienced level of SDM in daily practice and medication adherence have room for improvement. No association between SDM and medication adherence was observed. Factors related to feeling of competence, relatedness and feeling of autonomy did not meaningfully explain this finding.

Gender-Related Factors in Medication Adherence for Metabolic and Cardiovascular Health

This review explores the impact of gender on medication adherence in the context of metabolic and cardiovascular diseases. Optimal adherence to medication is crucial for achieving treatment goals and preventing adverse outcomes in chronic diseases. The review examines specific conditions such as type 2 diabetes, hypercholesterolemia, arterial hypertension, cardiovascular diseases, and heart failure. In type 2 diabetes, female sex, younger age, new drug prescription, non-white ethnicity, low education level, and low income were identified as predictors of non-adherence. Depressive disorders were also found to influence adherence. In hypercholesterolemia, women exhibited poorer adherence to statin therapy compared to men, with statin-related side effects and patient perception being significant factors. Adherence to anti-hypertensive therapy showed conflicting results, with studies reporting both higher and lower adherence in women. Limited evidence suggests that women may have poorer adherence after acute myocardial infarction and stroke. Regarding heart failure, adherence studies have shown inconsistent findings. The reasons for gender differences in medication adherence are multifactorial and include sociodemographic, disease-related, treatment-related, and psychological factors. This review emphasizes the need for further research to better understand these differences and develop gender-customized interventions that can improve medication adherence and reduce the burden of metabolic and cardiovascular diseases.

Effectiveness of an educational intervention about inhalation technique in healthcare professionals in primary care: a cluster randomized trial

Background: Incorrect inhalation technique (IT) is an important issue for chronic obstructive pulmonary disease (COPD) patients and healthcare professionals. Studies in which counseling is carried out with healthcare professionals beforehand so that they can properly educate their patients are required. The objective of the present trial is to assess the improvement in the performance of the IT in subjects with COPD and prescribed inhaled therapy after the implementation of an educational intervention conducted by their general practitioners. Methods: A cluster randomized clinical trial was conducted. A total of 286 COPD patients received scheduled inhalation therapy from 27 general practices in seven primary care centers. A teach-back educational intervention was implemented for both healthcare professionals and patients. The primary outcome of this study was the performance of the correct inhalation technique. It is considered a good technique if all steps in the inhalation data sheet are correctly performed. The secondary outcomes were assessed using forced spirometry, the basal dyspnea index, the Medical Research Council dyspnea scale, St George's Respiratory Questionnaire (SGRQ), and EuroQoL5D-5L for health-related quality of life. A one-year follow-up was conducted using an intention-to-treat analysis. Results: After the intervention, incorrect IT was observed in 92% of professionals and patients, with rates reaching 50% and 69.2%, respectively. The effectiveness in patients was significant, with a number needed to treat of 2.14 (95% CI 1.79-2.66). Factors related to correct IT in patients included the type of intervention, length of intervention (>25 min), good pulmonary function, age (youngest <=65, oldest >83), and less limitation of activity due to dyspnea. There was no relation with the cluster. Conclusion: This study shows the effectiveness of direct inhaler technique training provided by a trained professional on an appropriate timescale (for example, a specific consultation for medication reviews), aiming to help subjects improve their performance using the teach-back method. This could be an encouraging intervention to improve medication adherence and health promotion in people with COPD. Clinical Trial Registration: clinicaltrials.gov, identifier ISRCTN93725230.

Factors influencing adherence to non-communicable disease medication in India: secondary analysis of cross-sectional data from WHO - SAGE2

Background: Non-communicable diseases (NCDs) are a leading cause of death globally and disproportionately affect those in low- and middle-income countries lower-middle-income countries. Poor medication adherence among patients with NCDs is prevalent in India due to lack of initiation, missed dosing or cessation of treatment, and represents a growing healthcare and financial burden. Objective: This study aimed to identify factors influencing medication adherence in adults with NCDs in India. Methods: We performed a cross-sectional study, conducting secondary data analysis on the second wave of the World Health Organisation's 'Study on global AGEing and adult health (SAGE)', a survey that collected data from predominantly older adults across India. Bivariate analysis and multivariate logistic regression modelling were conducted to specifically interrogate the reasons for lack of initiation and cessation of treatment. Reporting of this study was informed by the STROBE guidelines. Results: The average medication adherence rate was 51% across 2,840 patients with one or more NCDs, reflecting non-initiation and lack of persistence of treatment. The strongest factor significantly predicting non-adherence to medication across these components was multimorbidity (odds ratio 0.47, 95% CI 0.40-0.56). Tobacco use (OR = 0.76, CI 0.59-0.98) and never having attended school (OR = 0.75, CI 0.62-0.92) were significantly associated with poor medication adherence (p < 0.05) while rural living (OR = 0.70, CI 0.48-1.02), feelings of anxiety (OR = 0.84, CI 0.66-1.08) and feelings of depression (OR = 0.90, CI 0.70-1.16) were factors lacking statistically significant association with medication adherence on multivariate analysis. Older age (OR = 2.02, CI 1.51-2.71) was significantly associated with improved medication adherence whilst there was a weak association between increased wealth and improved medication use. Limitations: The SAGE2 survey did not capture whether patients were taking their medication doses according to prescribed instructions-as a result our findings may under-estimate the true prevalence of medication non-adherence. Conclusion: Our analysis provides evidence that poor medication adherence in India is multifactorial, with distinct socioeconomic and health-system factors interacting to influence patient decision making. Future large-scale surveys interrogating adherence should assess all components of adherence specifically, whilst public health interventions to improve medication adherence should focus on barriers that may exist due to multimorbidity, comorbid depression and anxiety, and low educational status.

New terminology of medication adherence enabling and supporting activities: ENABLE terminology

Introduction: Medication non-adherence negatively affects the effectiveness of evidence-based therapies and sustainability of healthcare systems. Lack of agreed terminology of medication adherence enabling and supporting activities leads to underuse of the available tools. The ENABLE COST Action was aimed at proposing a new terminology for these activities in order to help both scientific research and its clinical application. Methods: Initial discussions within the ENABLE Working Groups allowed for the conceptualization of four interlinked terms related to adherence, i.e., "medication adherence technology", "medication adherence enhancing intervention", "best practice" and "reimbursement". The iterative process of internal discussion was structured around two dedicated international workshops. Moreover, extensive stakeholder consultations have been organised, including an interactive online survey used to assess the level of agreement with, and the clarity of relevant terms and definitions proposed. Results: Detailed analysis of the results of this process allowed for fine-tuning of the items, and finally, for proposing the final set of definitions. Across all the three phases of this process, the definitions were substantially modified to better reflect the concepts, simplify the language, and assure completeness and cohesiveness of terminology. Feedback obtained from the stakeholders helped this process and confirmed that the final terms and definitions were well received by the experts active in the field of medication adherence. Discussion: Covering the gap in the existing terminology, this work proposes a cohesive set of terms and definitions applicable to medication adherence enabling and supporting activities. Promoting evidence-based approach to this field, this terminology may help research, clinical practice and policy.

Is statin therapy after ischaemic stroke associated with increased intracerebral hemorrhage? The association may be dependent on intensity of statin therapy

BACKGROUND

There has been concern that statin therapy may be associated with an increased risk of intracerebral hemorrhage (ICH). We investigated whether the intensity and type of statin therapy instituted after ischemic stroke (IS) were associated with risk of future ICH in a region of northern China with a high incidence of stroke.

METHODS

Newly diagnosed IS patients who were not treated with lipid-lowering drugs in the Beijing Employee Medical Claims Data database from 2010 to 2017 were included. The primary exposure variable was any statin prescription within 1 month of the first documented stroke diagnosis. High-intensity statin therapy was defined as atorvastatin ⩾ 80 mg, simvastatin ⩾ 80 mg, pravastatin ⩾ 40 mg, and rosuvastatin ⩾ 20 mg per day or equivalent combination. An adjusted Cox proportional hazards model was used to estimate the hazard ratio (HR) for ICH during follow-up in groups exposed and not exposed to statins.

RESULTS

Of 62,252 participants with IS and 628 ICH readmissions were recorded during a median follow-up of 3.17 years. The risk of ICH among statin users (N = 43,434) was similar to that among nonusers (N = 18,818) with an adjusted HR and 95% confidence interval (CI) of 0.86 (0.73, 1.02). Compared with non-statin therapy, patients with low/moderate-intensity therapy had a lower risk of ICH (0.62: 0.52, 0.75), while patients with high-intensity therapy had a substantially higher risk (2.12: 1.72, 2.62). For patients with different types of statin therapy, adherence to rosuvastatin had the lowest risk of ICH compared to adherence to atorvastatin (0.46: 0.34, 0.63), followed by simvastatin (0.60: 0.45, 0.81).

CONCLUSION

In patients with IS, any statin therapy was not associated with an increased risk of ICH. However there appeared to be differential risk according to the dose of statin with high-intensity statin therapy being associated with an increased risk of ICH, while low/moderate-intensity therapy was associated with a lower risk.

Effect and usability of mobile health applications for medication adherence in patients with heart failure: A systematic review

BACKGROUND

This review aimed to evaluate the effect of mobile health applications (apps) use on medication adherence in heart failure (HF) patients, and to verify their quality of use.

METHODS

We searched MEDLINE, Embase, Web of Science, Scopus, CINAHL, LILACS, Cochrane, Clinical Trial Registries, Google Scholar, ProQuest, Open Access Theses and dissertations (OATD), Annual Symposium Proceedings of the American Medical Informatics Association (AMIA).

RESULTS

Of the 836 records identified, eight studies (five randomized clinical trials (RCTs) and three observational studies) were included, totaling 484 participants, with a mean age ranging from 51.1 to 72 years and 65% were male. The apps improved medication adherence when compared with their comparators in only two RCTs (n = 111, Cohen d = 3.23, 95% confidence interval (CI) 2.66; 3.80 and n = 80, d = 1.20, 95% CI 0.71; 1.66), and two observational studies, one of them with large effect size (n = 142, Cohen d = 1.51, 95% CI 1.12; 1.90). Apps proved to be more effective interventions than their comparators allowed continuous monitoring of patients. All included studies used self-report measures to assess medication adherence behaviors and their results should be interpreted with caution, as such tools may cause social desirability bias or recall bias.

CONCLUSION

The included studies indicate a possible outcome in favor of the use of apps to improve medication adherence in HF patients, but with very low quality level of evidence. Further studies are needed to investigate the effects of the use of apps, optimal frequency and duration of its use in HF patients.

Understanding the Clinical Implications of Individual Patient Characteristics and Treatment Choice on the Risk of Exacerbation in Asthma Patients with Moderate-Severe Symptoms

INTRODUCTION

The assessment of future risk has become an important feature in the management of patients with asthma. However, the contribution of patient-specific characteristics and treatment choices to the risk of exacerbation is poorly understood. Here we evaluated the effect of interindividual baseline differences on the risk of exacerbation and treatment performance in patients receiving regular maintenance doses of inhaled corticosteroids (ICS) or ICS/long-acting beta-agonists (LABA) combination therapy.

METHODS

Exacerbations and changes to asthma symptoms 5-item Asthma Control Questionnaire (ACQ-5) were simulated over a 12-month period using a time-to-event and a longitudinal model developed from phase III/IV studies in patients with moderate-severe asthma (N = 16,282). Simulations were implemented to explore treatment performance across different scenarios, including randomised designs and real-world settings. Treatment options included regular dosing with ICS monotherapy [fluticasone propionate (FP)] and combination therapy [fluticasone propionate/salmeterol (FP/SAL) or budesonide/formoterol (BUD/FOR)]. Exacerbation rate was analysed using the log-rank test. The cumulative incidence of events was summarised stratified by treatment.

RESULTS

Being a woman, smoker, having higher baseline ACQ-5 and body mass index (BMI) and lower forced expiratory volume in the first second (FEV1) are associated with increased exacerbation risk (p < 0.01). This risk is bigger in winter because of the seasonal variation effect. Across the different scenarios, the use of FP/SAL resulted in a 10% lower annual incidence of exacerbations relative to FP or regular dosing BUD/FOR, independently of baseline characteristics. Similar differences in the annual incidence of exacerbations were also observed between treatments in obese patients (BMI ≥ 25-35 kg/m2) (p < 0.01) and in patients who do not achieve symptom control on FP monotherapy.

CONCLUSIONS

Individual baseline characteristics and treatment choices affect future risk. Achieving comparable levels of symptom control whilst on treatment does not imply comparable risk reduction, as shown by the lower exacerbation rates in FP/SAL vs. BUD/FOR-treated patients. These factors should be considered as a basis for personalised clinical management of patients with moderate-severe asthma.

Methods to assess COPD medications adherence in healthcare databases: a systematic review

BACKGROUND

The Global Initiative for Chronic Obstructive Lung Disease 2023 report recommends medication adherence assessment in COPD as an action item. Healthcare databases provide opportunities for objective assessments; however, multiple methods exist. We aimed to systematically review the literature to describe existing methods to assess adherence in COPD in healthcare databases and to evaluate the reporting of influencing variables.

METHOD

We searched MEDLINE, Web of Science and Embase for peer-reviewed articles evaluating adherence to COPD medication in electronic databases, written in English, published up to 11 October 2022 (PROSPERO identifier CRD42022363449). Two reviewers independently conducted screening for inclusion and performed data extraction. Methods to assess initiation (dispensing of medication after prescribing), implementation (extent of use over a specific time period) and/or persistence (time from initiation to discontinuation) were listed descriptively. Each included study was evaluated for reporting variables with an impact on adherence assessment: inpatient stays, drug substitution, dose switching and early refills.

RESULTS

160 studies were included, of which four assessed initiation, 135 implementation and 45 persistence. Overall, one method was used to measure initiation, 43 methods for implementation and seven methods for persistence. Most of the included implementation studies reported medication possession ratio, proportion of days covered and/or an alteration of these methods. Only 11% of the included studies mentioned the potential impact of the evaluated variables.

CONCLUSION

Variations in adherence assessment methods are common. Attention to transparency, reporting of variables with an impact on adherence assessment and rationale for choosing an adherence cut-off or treatment gap is recommended.

Implementing medication adherence interventions in four Dutch living labs; context matters

BACKGROUND

Despite the abundant availability of effective medication adherence interventions, uptake of these interventions into routine care often lacks. Examples of effective medication adherence interventions include telephone counseling, consult preparation and the teach-back method. Assessing context is an important step in understanding implementation success of interventions, but context is often not reported or only moderately described. This study aims to describe context-specific characteristics in four living labs prior to the implementation of evidence-based interventions aiming to improve medication adherence.

METHODS

A qualitative study was conducted within four living labs using individual interviews (n = 12) and focus groups (n = 4) with project leaders and involved healthcare providers. The four living labs are multidisciplinary collaboratives that are early adopters of medication adherence interventions in the Dutch primary care system. Context is defined as the environment or setting in which the proposed change is to be implemented. Interview topics to assess context were formulated based on the 'inner setting' and 'outer setting' domains of the Consolidated Framework for Implementation Research (CFIR). Interviews were recorded and transcribed verbatim. Transcripts were deductively analyzed.

RESULTS

A total of 39 community pharmacists, pharmacy technicians, general practitioners and a home care employee participated in the (focus group) interviews. All four living labs proved to be pharmacy-driven and characterized by a high regard for innovation by staff members, a positive implementation climate, high levels of leadership engagement and high compatibility between the living labs and the interventions. Two living labs were larger in size and characterized by more formal communication. Two living labs were characterized by higher levels of cosmopolitanism which resulted in more adaptable interventions. Worries about external policy, most notably lack of reimbursement for sustainment and upscaling of the interventions, were shared among all living labs.

CONCLUSIONS

Contextual characteristics of four living labs that are early adopters of medication adherence interventions provide detailed examples of a positive implementation setting. These can be used to inform dissemination of medication adherence interventions in settings less experienced in implementing medication adherence interventions.

Assessing disease activity of rheumatoid arthritis patients and drug-utilization patterns of biologic disease-modifying antirheumatic drugs in the Tuscany region, Italy

Introduction: The disease activity associated with the drug-utilization patterns of biologic Disease Modifying Anti-Rheumatic Drugs (DMARDs) is poorly investigated in real-world studies on rheumatoid arthritis (RA) patients. To investigate the relationship between biologic DMARD initiation/discontinuations in RA patients identified in the healthcare administrative databases of Tuscany and the Disease Activity Score 28 (DAS28) reported in the medical charts. Methods: This retrospective population-based study included RA's first-ever biologic DMARD users of the Pisa University Hospital from 2014 to 2016. Patients were followed up until 31 December 2019. We evaluated the DAS28 recorded before (T0) and after (T1) the biologic DMARD initiation and before (TD0) and after (TD1) discontinuations. Patients were classified as "off-target" (DAS28 > 3.2) or "in-target" (DAS28 ≤ 3.2). We described the disease activity trends at initiation and discontinuation. Results: Ninety-five users were included (73 women, mean age 59.6). Among 70 patients (74%) with at least three DAS28 measures, 28 (40.0%) were off-target at T0 and 38 (54.3%) in-target at T1. Thirty-three (47%) patients had at least one discontinuation, among those with at least three DAS28 assessments. In the disease activity trend, disease stability or improvement was observed in 28 out of 37 (75.7%) patients at initiation and in 24 out of 37 (64.9%) at discontinuation. Discussion: Biologic DMARD discontinuations identified in the healthcare administrative databasese of Tuscany are frequently observed in situations of controlled RA disease. Further studies are warranted to confirm that these events can be used in studies using healthcare administrative databases as proxies of treatment effectiveness.

Validation of the Arabic version of the general medication adherence scale in patients with type 2 diabetes mellitus in Jordan

Background: Medication adherence is a major challenge for patients with diabetes. Adherence rates are often low, and this can lead to poor glycaemic control and increased risk of complications. There are a number of tools available to measure medication adherence, but few have been validated in Arabic-speaking populations. Aim: This study aimed to validate the Arabic version of the General Medication Adherence Scale in patients with type 2 diabetes in Jordan. Methods: A cross-sectional study was conducted for 3 months among patients attending diabetes mellitus outpatient clinic in Irbid, Jordan. The validation procedure included confirmatory factor analysis (CFA) and equation modelling (SEM). Fit indices, namely, goodness of fit index (GFI), Tucker Lewis index (TLI), comparative fit index (CFI), and root mean square error of approximation (RMSEA) were observed. Corrected item-total correlation (ITC) was reported. Reliability was assessed using Cronbach's alpha (α) and α value based on item deletion was also carried out. Intraclass correlation coefficient (ICC) was reported. Data were analyzed using IBM SPSS v23 and IBM AMOS v25. Results: Data from 119 participants were gathered. The mean adherence score was 27.5 (±6) ranging from 6 to 33. More than half of the patients were adherent to their therapy (n = 79, 66.4%). The reliability of the scale (n = 11) was 0.907, and ICC ranged from 0.880-0.930: 95% CI. The following values were observed in CFA; χ2 = 62.158, df = 41, χ2/df = 1.516, GFI = 0.913, AGFI = 0.860, TLI = 0.960, CFI = 0.971 and RMSEA = 0.066. A total of 10 out of 11 items had corrected ITC >0.5. The α remained between 0.89-0.92 during item deletion. Conclusion: The results obtained in this study suggest that the scale is valid and reliable in measuring adherence to medications in the studied sample of patients with diabetes. This scale can be used by clinicians in Jordan to assess adherence and may further aide in evaluating interventions to improve adherence rates in persons with type 2 diabetes.

Minimal Adherence Threshold to Non-Vitamin K Antagonist Oral Anticoagulants in Patients with Atrial Fibrillation to Reduce the Risk of Thromboembolism and Death: A Nationwide Cohort Study

PURPOSE

Poor adherence to non-vitamin K antagonist oral anticoagulants (NOACs) may raise thromboembolic risks in patients with atrial fibrillation (AF). However, the minimal adherence to maintain the protective effect of NOACs is currently unknown. Therefore, we investigated thresholds of NOAC adherence in association with thromboembolic and mortality risks.

METHODS

Patients with AF initiating NOACs between 2013 and 2019 were identified in Belgian nationwide data. Adherence was measured using the proportion of days covered (PDC) after one year of treatment. Inverse probability of treatment weighted Cox regression was used to investigate outcomes.

RESULTS

92,111 persons were included (250,750 person-years). Compared to NOAC users with a one-year PDC of 100%, significantly higher risks of stroke or systemic embolism were observed among NOAC users with PDCs of 85-89% (adjusted hazard ratio (aHR) 1.35, 95% confidence interval (CI) (1.19-1.54)), 80-84% (aHR 1.31, 95%CI (1.08-1.58)) and < 80% (aHR 1.64, 95%CI (1.34-2.01)), while no significant differences were observed among NOAC users with one-year PDCs of 95-99% (aHR 1.02, 95%CI (0.94-1.12)) or 90-94% (aHR 1.06, 95%CI (0.95-1.18)). Significantly higher risks of all-cause mortality were observed with decreasing levels of NOAC adherence, which were already higher among NOAC users with a one-year PDC of 90-94% versus 100% (aHR 1.09, 95%CI (1.01-1.17)). Findings were similar with once-daily and twice-daily dosed NOACs.

CONCLUSION

Poor adherence to NOACs is associated with increased risks of thromboembolism and all-cause mortality. The minimal adherence threshold should be ≥ 90%, preferably even ≥ 95%.

Adherence enhancing interventions for pharmacological and oxygen therapy in patients with COPD: protocol for a systematic review and component network meta-analyses

BACKGROUND

Chronic obstructive pulmonary disease (COPD) is characterised by hyperinflation and expiratory airflow limitation due to long-term exposure to irritants. The variety and complexity of COPD treatment and the possible added comorbidities may make the patients find it difficult to cope with the required medications. That is why supporting patients' adherence is critical because not taking medications correctly increases the risk of complications and creates an additional financial burden. A range of interventions aiming to improve patient adherence were used, and most of them are complex since they involve a mix of elements. Furthermore, despite the variety of available tools, assessing adherence is challenging because clinicians usually do not get a concrete judgement if their patients followed their treatment plan reliably. We aim to evaluate the effectiveness of adherence-enhancing interventions for COPD patients, explore which intervention (component) works for which patients and check the factors influencing the implementation and participant responses.

METHODS

We will perform a comprehensive literature search (Medline, Embase, Cochrane Library, trial registries) without restrictions on language and publication status, and we will include all controlled studies investigating the effect of adherence-enhancing intervention on patients with COPD. We plan to involve COPD patients in the systematic review development through two patient interviews (one before and one after the systematic review). Two reviewers will perform the screening, data extraction and risk of bias (ROB) assessment. For ROB, we will use ROB 2.0 to assess randomised controlled trials, and ROBINS-I to assess non-randomised studies. We will perform pair-wise random-effects meta-analyses and component network meta-analyses to identify the most effective components and combinations of components. We will use the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approach to assess the quality of evidence. To determine the degree of complexity, we will use the iCAT_SR checklist, and then, following a logical model, we will group the interventions according to prespecified criteria.

DISCUSSION

This systematic review aims to point out the most effective and implementable adherence-enhancing interventions by using methods for synthesising evidence on complex interventions and involving COPD patients all along with the review process.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42022353977.

Utility of Big Data to Explore Medication Adherence in Māori and Non-Māori Community-Dwelling Older Adults with Heart Failure in Aotearoa New Zealand: A Cross-sectional Study

BACKGROUND

Medication adherence improves morbidity and mortality-related outcomes in heart failure, and knowledge of patterns of medication adherence supports patient and clinician decision-making. Routinely collected national data facilitate the exploration of medication adherence and associated factors in older adults with heart failure, including the association between ethnicity and adherence. There are known inequities in access to medicines between Māori (Indigenous People of Aotearoa New Zealand) and non-Māori, yet ethnic variation in medicines adherence in community-dwelling older adults with heart failure has not been explored.

OBJECTIVE

Here we identify medication adherence rates for community-dwelling older adults diagnosed with heart failure and differences in adherence rates between Māori and non-Māori.

METHODS

Cross-sectional analysis of interRAI (comprehensive standardised assessment) data in a continuously recruited national cohort from 2012 to 2019.

RESULTS

Overall, 13,743 assessments (Māori N = 1526) for older community-dwelling adults with heart failure diagnoses were included. The mean age of participants was 74.5 years [standard deviation (SD) 9.1 years] for Māori and 82.3 years (SD 7.8 years) non-Māori. In the Māori cohort, 21.8% did not adhere fully to their medication regimen, whereas in the non-Māori cohort, this figure was 12.8%. After adjusting for confounders, the Māori cohort were more likely to be medication non-adherent than non-Māori [prevalence ratio 1.53, 95% confidence interval (CI) 1.36-1.73].

CONCLUSIONS

There was a significant disparity between Māori and non-Māori concerning medication adherence. Given the international use of the interRAI-HC assessment tool, these results have significant transferability to other countries and allow the identification of underserved ethnic groups for which culturally appropriate interventions can be targeted.

Spanish translation of the ABC taxonomy for medication adherence

BACKGROUND

The Ascertaining Barriers to Compliance (ABC) taxonomy was developed aiming at systematizing definitions and operationalizations of medication adherence. Its translation is crucial to improve the generalizability, application and comparison of study findings.

OBJECTIVE

To provide a consensus translation of the ABC taxonomy from English to Spanish.

METHODS

A two-phased approach was used, according to the Preferred Methods for the Translation of the ABC Taxonomy for Medication Adherence. Two literature reviews were conducted: to identify Spanish synonyms and definitions of the ABC taxonomy, and to identify a panel of Spanish-speaking experts in medication adherence. A Delphi survey was designed based on the synonyms and definitions found. The experts previously identified were invited to participate in the Delphi. A consensus of ≥85% was established for the first round. A moderate consensus (50-75%), a consensus (75-95%) or a strong consensus (>95%) were considered to be necessary in the second round.

RESULTS

Forty potential synonyms of the ABC taxonomy terms were identified from a total of 270 papers. The response rate during the first Delphi round was 32% (63/197) and in the second round 86% (54/63). A strong consensus was reached for the term "inicio del tratamiento" (96%) and consensus for the term "implementación" (83%). A moderate consensus was obtained for "adherencia a la medicación" (70%), "interrupción del tratamiento" (52%), "manejo de la adherencia" (54%) and "disciplinas relacionadas con la adherencia" (74%). No consensus was reached for the term persistence. Five out of the seven definitions reached a consensus in the first round, and two definitions a moderate consensus after the second round.

CONCLUSION

The adoption of the Spanish taxonomy will increase transparency, comparability and transferability of results in the field of medication adherence. This may facilitate benchmarking of adherence strategies between Spanish-speaking researchers and practitioners, and other language speakers.

Adherence to Ocular Hypotensive Medication in Patients With Primary Open Angle Glaucoma in Ghana

PRCIS

There is a high rate of nonadherence to ocular hypotensive medications in a highly prevalent glaucoma setting, which warrants the attention of caregivers so as to inform their discussion of the possible barriers to adherence with their patients.

PURPOSE

To assess adherence to ocular hypotensive medication objectively among glaucoma patients in Ghana and to identify factors associated with adherence.

MATERIALS AND METHODS

The prospective, observational cohort study included consecutive patients with primary open angle glaucoma treated with Timolol at the Christian Eye Centre, Cape Coast, Ghana. Adherence was assessed using Medication Event Monitoring System (MEMS) for a period of 3 months. MEMS adherence was defined as the number of doses taken divided by the number of doses prescribed, expressed in percent. Patients with adherence of 75% or less were classified as nonadherent. Associations with glaucoma medication self-efficacy, eyedrop-taking behaviors, and health beliefs were also assessed.

RESULTS

Of the 139 patients (mean age, 65 y [SD, 13 y]) included in the study, 107 (77.0%) were nonadherent when assessed with MEMS, compared with only 47 (33.8%) who self-reported being nonadherent. Overall, mean adherence was 48.5%±29.7. In univariate analysis, MEMS adherence was significantly associated with educational level ( χ2 =9.18, P =0.01) and the number of systemic comorbidities ( χ2 =6.03, P =0.049).

CONCLUSION

Overall, mean adherence was low, and adherence was associated with educational level and number of systemic comorbidities in univariate analysis.

"What's Sex and Gender Got to Do With It?" A Scoping Review of Sex- and Gender-Based Analysis in Pharmacoepidemiologic Studies of Medication Adherence

OBJECTIVES

Medication taking is a complex multidimensional behavior that may be impeded by a range of biological and psychosocial factors, including sex and gender. We aimed to synthesize how sex and gender have been reported and analyzed in pharmacoepidemiologic studies of medication.

METHODS

We searched for English-language peer-reviewed articles of observational studies (eg, cross-sectional, cohort, and case-control) that examined medication adherence among adults and included sex or gender in their reporting.

RESULTS

We included 937 studies among 530 537 287 participants published between the year 1979 and 2021. Most studies were cross-sectional (47%), lasted ≤ 1 year (35%), examined self-reported adherence (53%), did not assess specific adherence problem(s) (40%), and included medications for cardiovascular conditions (24%) or systemic infections (24%). A quarter of studies (25%) used sex and gender interchangeably, more than one third of studies (36%) that reported gender data likely collected data on sex, and < 1% of studies described sex and gender as distinct variables. Studies of cisgender participants more often reported that females/women experienced greater adherence problems often than males/men (31% vs 20%), particularly discontinuation and cost-related nonadherence. Only 21 studies (2%) reported on transgender individuals, and these predominantly examined antiretroviral medications for HIV.

CONCLUSIONS

Our review revealed substantial conflation of sex and gender in studies of medication adherence and a paucity of research among transgender individuals. Moreover, our synthesis showed sex/gender disparities in medication taking with studies reporting greater medication adherence problems among cisgender women and transgender participants than cisgender men.

Do Pictograms on Medication Packages Cause People to Consult Package Inserts Less Often? If so, With What Consequences?

Overall, pharmaceutical pictograms seem to improve medication adherence. However, little is known about how warning pictograms (e.g., "do not drive after taking") on medication packages influence patients' information-seeking strategies such as consulting the package insert (PI) to determine other features such as the correct dosage. In this online study, participants (358 students) were presented with three fictitious scenarios (e.g., headache after alcohol consumption; factor scenario) in which medication use would be contraindicated. Each scenario was accompanied by a visual presentation of a medication package that could contain three possible pictogram selections or arrangements (factor warning); some arrangements contained pictograms relevant to the situation represented by the scenario, while others did not. Participants had to decide which dosage of the represented medication they were allowed to take in the given scenario. In making this decision, they could consult the PI or not. Overall, in two out of the three scenarios (driving and pregnancy), medication packages with relevant pictograms resulted in fewer PI consultations but led to more correct dosage decisions ("no pill") than packages with irrelevant pictograms. Pictograms generally played no role in either the review of the PI consultation or dosage decisions in the alcohol scenario. Providing warning-relevant pictograms on medication packages can help people know when they should not take medication even without reading the PI.

Factors associated with non-adherence to angiotensin-converting enzyme inhibitors and angiotensin receptor blockers in older patients with peripheral arterial disease

Introduction: As in other chronic conditions, medication adherence is important in the treatment of peripheral arterial disease (PAD). Our study aimed at a) analysing non-adherence to angiotensin-converting enzyme inhibitors (ACEIs) and angiotensin receptor blockers (ARBs) in groups of older ACEI and ARB users with PAD, and b) identifying characteristics associated with non-adherence. Methods: We focused on the implementation phase of adherence (i.e., after treatment initiation and before possible discontinuation of treatment). The study cohort included ACEI/ARB users aged ≥65 years in whom PAD was newly diagnosed during 2012. Non-adherence was defined as Proportion of Days Covered (PDC) < 80%. Results: Among 7,080 ACEI/ARB users (6,578 ACEI and 502 ARB users), there was no significant difference in the overall proportion of non-adherent patients between ACEI and ARB users (13.9% and 15.3%, respectively). There were differences in factors associated with non-adherence between the groups of persistent and non-persistent (i.e., discontinued treatment at some point during follow-up) ACEI and ARB users. Increasing age, dementia and bronchial asthma were associated with non-adherence in persistent ACEI users. General practitioner as index prescriber was associated with adherence in the groups of non-persistent ACEI users and persistent ARB users. Conclusion: Identified factors associated with non-adherence may help in determining the groups of patients who require increased attention.

Association between body mass index and treatment completion in extended-release naltrexone-treated patients with opioid dependence

Background

Excessive consumption of opioids is associated with impaired metabolic function including increased body mass index (BMI). Opioid antagonist naltrexone (NTX) is an effective treatment for opioid use disorder (OUD) that has the potential to mitigate such metabolic disturbances. Understanding the relationship between treatment adherence and BMI in NTX-treated OUD patients may provide valuable insights into optimizing clinical outcomes.

Methods

Patients with opioid dependence were offered up to three monthly injections of extended-release (XR) NTX. Treatment completers (n = 41) were defined as those who had received all three XR-NTX injections, and non-completers (n = 20) as those missing at least one injection. Logistic regression was performed to examine the association between pre-treatment BMI and treatment completion.

Results

BMI was positively associated with treatment completion. This association remained significant after adjusting for potentially confounding variables.

Conclusion

Our findings suggest that baseline BMI may serve as a potential predictor of XR-NTX treatment adherence in patients with OUD and could help healthcare providers and policy makers alike in developing strategies to improve retention and tailor interventions for specific patient subgroups.

Development and validation of a Medication Adherence Universal Questionnaire: the MAUQ

BACKGROUND

Different questionnaires assess self-reported medication adherence and others quantify aspects of patients attitudes towards medication, but not together in a single instrument. Gathering these two aspects in a single instrument could reduce patients survey burden.

AIM

The aim of this study was to develop the Medication Adherence Universal Questionnaire (MAUQ) using the Maastricht Utrecht Adherence in Hypertension short version (MUAH-16) factorial structure as the hypothesized model.

METHOD

A multistep process started with the modification of the MUAH-16 to obtain the MAUQ. Patients using at least one antihypertensive medicine were recruited. The two questionnaires, the MUAH-16 and MAUQ, were applied. A confirmatory factor analysis (CFA) was performed using the initial MUAH-16 s-order 4-factor model. An additional bifactor model with four uncorrelated factors and an overall score was tested. The comparative fit index (CFI), root mean square error of approximation (RMSEA) with confidence intervals (CIs), and standardized root mean squared residual (SRMR) were used to assess both models.

RESULTS

A sample of 300 hypertensive patients completed the instruments. The CFA with the second-order 4-factor solution resulted in similar results for the MUAH-16 and MAUQ: CFIs of 0.934 and 0.930, RMSEAs of 0.043 [CI 0.030-0.056] and 0.045 [CI 0.031-0.057] and SRMRs of 0.060 and 0.061, respectively. The CFA with the bifactor model showed slightly better results for both the MUAH-16 and MAUQ: CFIs of 0.974 and 0.976, RMSEAs of 0.030 [CI 0.005-0.046] and 0.028 [CI 0.001-0.044], and SRMRs of 0.043 and 0.044, respectively.

CONCLUSION

CFA demonstrated that the MAUQ presented a better fit to both models than the MUAH-16, obtaining a robust universal free instrument to assess medicine-taking behaviour and four medicine beliefs components.

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.

Investigating Levothyroxine Use and Its Association with Thyroid Health in Patients with Hypothyroidism: A Community Pharmacy Study

Background: To gain maximum therapeutic effect while minimizing side effects, it is imperative for patients with hypothyroidism to use their levothyroxine (LT4) correctly, such as adhering to the prescribed regimen. Little is currently known about how patients actually use LT4 in real life. We investigated the use of LT4, as well as the thyroid health (thyrotropin [TSH] and health-related quality of life [HR-QoL]), and evaluated if proper LT4 use is associated with better thyroid health. Methods: A cross-sectional observational study was conducted in a Belgian community sample of adults using LT4 for hypothyroidism since ≥2 years. Participants completed a self-administered questionnaire on patient characteristics, self-reported adherence to LT4, timing of intake, and co-medication. They also completed the thyroid-specific patient-reported outcome (ThyPRO-39) questionnaire, measuring the HR-QoL. Pharmacy dispensing data were used to calculate the medication possession ratio (MPR). Results: We included 856 participants (mean age 61.4 ± 14.3 years, 86% [740/856] females). Approximately one in four participants (138/563) had out-of-range TSH levels. Generally, ThyPRO-39 scores were in the lower part of the range (indicating better HR-QoL), with the scales "emotional susceptibility" and "tiredness" showing the worst scores. Approximately 28% (178/632) of the participants were classified as non-adherent (MPR <80%), corresponding to at least 73 cumulative days per year without LT4 intake. Twenty-five percent (212/854) of participants self-reported non-adherence, with unintentional non-adherence (forgetfulness) most frequently reported (21.9%, 187/854). Only 39% (329/836) of participants complied with the recommendation of ingesting LT4 ≥ 30 minutes before eating. Additionally, 7% (58/856) of participants concurrently used molecules that bind to LT4, without applying the recommended dosing interval. There was no significant correlation between LT4 usage (adherence, timing of intake, and interaction with complex forming drugs) and TSH or HR-QoL. Conclusions: We found that many participants with hypothyroidism did not use their LT4 as effectively as possible, particularly with respect to timing of administration. However, the participants' HR-QoL seemed largely satisfactory, and there was no significant correlation between correctly using LT4 and thyroid health.

Adherence and persistence in allergen immunotherapy (APAIT): A reporting checklist for retrospective studies

BACKGROUND

Adherence is essential for the long-term efficacy of allergen immunotherapy (AIT) and has been evaluated in numerous retrospective studies. However, there are no published guidelines for best practice in measuring and reporting adherence or persistence to AIT, which has resulted in substantial heterogeneity among existing studies. The 'adherence and persistence in AIT (APAIT)' checklist has been developed to guide the reporting, design and interpretation of retrospective studies that evaluate adherence or persistence to AIT in clinical practice.

METHODS

Five existing checklists, focussing on study protocol design, the use of retrospective databases/patient registries, and the appraisal and reporting of observational studies, were identified and merged. Relevant items were selected and tailored to be specific to AIT. The content of the checklist was discussed by 11 experts from Europe, the United States and Canada, representing allergy, healthcare and life sciences, and health technology appraisal.

RESULTS

The APAIT checklist presents a set of items that should either be included or at least considered, when reporting retrospective studies that assess adherence or persistence to AIT. Items are organized into four categories comprising study objective, design and methods, data analysis, and results and discussion. The checklist highlights the need for clarity and transparency in reporting and emphasizes the importance of considering potential sources of bias in retrospective studies evaluating adherence or persistence to AIT.

CONCLUSIONS

The APAIT checklist provides a pragmatic guide for reporting retrospective adherence and persistence studies in AIT. Importantly, it identifies potential sources of bias and discusses how these influence outcomes.

Asthma and COPD: Comparison with International Guidelines and Medication Adherence in Belgium

Asthma and chronic obstructive pulmonary disease (COPD) are major chronic conditions. It is possible to limit their impact by controlling symptoms, which limits exacerbations and worsening of the disease, by choosing the appropriate treatment and ensuring that the patient adheres to it. The main purpose of this study was to assess medication adherence and persistence with inhaled medications for chronic treatment of asthma and COPD, as well as to evaluate the factors influencing this adherence. Medication adherence was measured from January 2013 to December 2016 using continuous multiple-interval measures of medication availability (CMA). Persistence was evaluated by treatment episodes (TE). We analyzed the influence of different factors on CMA such as sex, age, type of device, and the realization of the "new medicines service" (NMS), introduced in Belgium in October 2013 to support patients in adhering to their treatment. We also analyzed the consumption of these inhaled medications within the Belgian population and compared them with the Global Initiative for Asthma (GINA) and the Global Initiative for Chronic Obstructive Lung Disease (GOLD) recommendations. Medication adherence varied greatly between the different pharmacological classes: inhaled corticosteroids (ICS) alone or in combination with long-acting beta agonists (LABA) had the lowest medication adherence and persistence, while adherence was highest for the long-acting muscarinic antagonists (LAMA) and LABA/LAMA associations. The NMS seemed to have a positive impact on medication adherence, although few patients completed the two guidance interviews offered by the service. In addition, only a minority of the targeted patients took advantage of this new service.

How is Patient Adherence Possible? A Novel Mechanistic Model of Adherence Based on Humanities

Patient non-adherence is a major contemporary medical issue because of its consequences in terms of frequency, morbidity and mortality, and health care costs. This article aims to propose a mechanistic model of adherence based on the tenet that non-adherence is the default option, as long-term adherence in chronic diseases requires sustained effort. The real question becomes, how is patient adherence possible? By focusing on adherent patients, the paper explains the mental mechanisms of adherence using concepts largely drawn from humanities, philosophy of mind, and behavioral economics and presents the findings of empirical studies supporting these hypotheses. The analysis first demonstrates the relationship between patient adherence and temporality and the influence of character traits. Further, it points out the importance of habit, which allows adherence to become non-intentional, thereby sparing patients' cognitive efforts. Finally, it points out the importance of the quality of the interaction between the person with a chronic disease and the health professional. These features explain why adherence is a syndrome (the healthy adherer phenotype), separating people into those who are safe and those who are at risk of non-adherence, non-control of diabetes, and complications. The concepts presented in this article summarize 20 years of personal clinical and philosophical reflection on patient adherence. They are mainly illustrated by examples from diabetes care but can be applied to all chronic diseases. This novel model of adherence has major practical and ethical implications, explaining the importance of patient education and shared medical decision-making in chronic disease management.

Self-reported medication adherence instruments and their applicability in low-middle income countries: a scoping review

Introduction

Medication non-adherence is an important public health issue, associated with poor clinical and economic outcomes. Globally, self-reported instruments are the most widely used method to assess medication adherence. However, the majority of these were developed in high-income countries (HICs) with a well-established health care system. Their applicability in low- and middle-income countries (LMICs) remains unclear. The objective of this study is to systematically review the applicability of content and use of self-reported adherence instruments in LMICs.

Method

A scoping review informed by a literature search in Pubmed, EBSCO, and Cochrane databases was conducted to identify studies assessing medication adherence using self-reported instruments for patients with five common chronic diseases [hypertension, diabetes, dyslipidemia, asthma, or Chronic Obstructive Pulmonary Disease (COPD)] in LMICs up to January 2022 with no constraints on publication year. Two reviewers performed the study selection process, data extraction and outcomes assessment independently. Outcomes focused on LMIC applicability of the self-reported adherence instruments assessed by (i) containing LMIC relevant adherence content; (ii) methodological quality and (iii) fees for use.

Findings

We identified 181 studies that used self-reported instruments for assessing medication adherence in LMICs. A total of 32 distinct types of self-reported instruments to assess medication adherence were identified. Of these, 14 self-reported instruments were developed in LMICs, while the remaining ones were adapted from self-reported instruments originally developed in HICs. All self-reported adherence instruments in studies included presented diverse potential challenges regarding their applicability in LMICs, included an underrepresentation of LMIC relevant non-adherence reasons, such as financial issues, use of traditional medicines, religious beliefs, lack of communication with healthcare provider, running out of medicine, and access to care. Almost half of included studies showed that the existing self-reported adherence instruments lack sufficient evidence regarding cross cultural validation and internal consistency. In 70% of the studies, fees applied for using the self-reported instruments in LMICs.

Conclusion

There seems insufficient emphasis on applicability and methodological rigor of self-reported medication adherence instruments used in LMICs. This presents an opportunity for developing a self-reported adherence instrument that is suitable to health systems and resources in LMICs.

Systematic review registration

https://www.crd.york.ac.uk/prospero/, identifier: CRD42022302215.