Self-management of chronic illness: the role of 'habit' versus reflective factors in exercise and medication adherence

Identifying Common Patterns in the Time of Day of Mindfulness Meditation Associated with Long-Term Maintenance

Forming a habit of practicing mindfulness meditation around the same time of day is one strategy that may support long-term maintenance and in turn improve physical and mental health. The purpose of this study was to identify common patterns in the time of day of meditation associated with long-term meditation app use to assess the importance of temporal consistency for maintaining meditation over time. App usage data were collected from a random sample of 15,000 users who had paid for an annual membership to a commercial meditation app in 2017. We constructed three measures of temporal consistency in the time of day of meditation sessions in order to categorize users into one of three behavioral phenotypes: Consistent, Inconsistent, or Indeterminate. Panel data models were used to compare temporal consistency across the three phenotypes. Of the 4205 users (28.0%) in the final analytic sample, 1659 (39.5%) users were Consistent, 2326 (55.3%) were Inconsistent, and 220 users (5.23%) were Indeterminate. Panel models confirmed that temporal consistency had contrasting relationships with meditation maintenance among these three phenotypes (p < 0.01). These findings revealed that temporal consistency was associated with meditation maintenance for less than half of app users, which suggests that other behavioral mechanisms in addition to temporally consistent habits can support meditation app use over time. This has important implications for researchers and policymakers trying to promote the maintenance of meditation and other complex health behaviors, such as increased physical activity and healthier diets.

Correlation Between Objective Habit Metrics and Objective Medication Adherence: Retrospective Study of 15,818 Participants From Clinical Studies

BACKGROUND

Medication adherence, or how patients take their medication as prescribed, is suboptimal worldwide. Improving medication-taking habit might be an effective way to improve medication adherence. However, habit is difficult to quantify, and conventional habit metrics are self-reported, with recognized limitations. Recently, several objective habit metrics have been proposed, based on objective medication-taking data.

OBJECTIVE

We aim to explore the correlation between objective habit metrics and objective medication adherence on a large dataset.

METHODS

The Medication Event Monitoring System Adherence Knowledge Center, a database of anonymized electronic medication intake data from ambulant participants enrolled in past clinical studies, was used as the data source. Electronic medication intake data from participants following a once-daily regimen and monitored for 14 days or more were used. Further, two objective habit metrics were computed from each participant's medication intake history: (1) SD of the hour of intake, representing daily variability in the timing of medication intakes, and (2) weekly cross-correlation, representing weekly consistency in the timing of medication intakes. The implementation component of medication adherence was quantified using (1) the proportion of doses taken and (2) the proportion of correct days.

RESULTS

A total of 15,818 participants met the criteria. These participants took part in 108 clinical studies mainly focused on treatments for hypertension (n=4737, 30%) and osteoporosis (n=3353, 21%). The SD of the hour of intake was significantly negatively correlated with the 2 objective adherence metrics: proportion of correct days (Spearman correlation coefficient, ρS=-0.62, P<.001) and proportion of doses taken (ρS=-0.09, P<.001). The weekly cross-correlation was significantly positively correlated with the 2 objective adherence metrics: proportion of correct days (ρS=0.55, P<.001) and proportion of doses taken (ρS=0.32, P<.001). A lower daily or weekly variability in the timing of medication intakes is thus associated with better medication adherence. However, no variability is not the norm, as only 3.6% of participants have 95% of their intakes in a 1-hour window. Among the numerous factors influencing medication adherence, habit strength is an important one as it explains over 30% of the variance in medication adherence.

CONCLUSIONS

Objective habit metrics are correlated to objective medication adherence. Such objective habit metrics can be used to monitor patients and identify those who may benefit from habit-building support.

Preventing medication nonadherence: a framework for interventions to support early engagement with treatment

Medication nonadherence is common and results in avoidable morbidity, mortality, and burdens on healthcare systems. This paper proposes a preventative approach to medication nonadherence. We consider existing evidence on the prevalence and determinants of nonadherence early in a patient's medication-taking journey, and map these to potential opportunities for intervention. Many patients stop taking a new medication soon after they are prescribed it, often not collecting the medication. Early patterns of nonadherence are linked to later nonadherence via processes such as habit formation and symptom experiences. Known predictors of nonadherence may be present before someone starts a new treatment, when patients experience disruption to their lives and identity due to illness. Healthcare professionals typically have contact with patients around this time. We argue that it may be possible to prevent medication nonadherence: at the population level; by optimising the prescription process; and through low- and high-intensity interventions for patients with identified early barriers. We give examples of specific interventions and tools that might be needed to operationalise this approach in practice and propose new directions for research to promote early engagement with medication to prevent nonadherence.

Feasibility and preliminary efficacy of a theory-informed resistance exercise training single-arm intervention for major depression

Many adults with major depressive disorder (MDD) do not receive effective treatment. The potential benefits of resistance exercise training (RET) are understudied and may be mechanistically related to cerebral blood flow changes.

PURPOSE

To assess feasibility, acceptability, and preliminary efficacy of a 16-week, theory-informed RET trial for the treatment of MDD and explore changes in cerebral blood flow.

METHODS

Ten adults with DSM-5-diagnosed MDD were enrolled in a single-arm, 16-week, twice-weekly, whole-body RET intervention, consistent with US and WHO Physical Activity resistance exercise guidelines. To build intrinsic motivation and develop exercise-preparatory habits, motivators and commitment were discussed weekly. Screening, enrollment, and intervention attendance and compliance rates documented feasibility. At baseline and weeks 8, 16, and 26, current MDD diagnosis, clinician-rated, and self-reported symptom severity were evaluated along with cerebral blood flow which was assessed as middle cerebral artery (MCA) mean blood velocity, conductance, and pulsatility.

RESULTS

Nine participants completed the intervention. Strong feasibility and acceptability (98 % adherence, 93 % compliance, and 90 % retention) were found. MDD remission was reached by 8/9 participants at week 16 and persisted through week 26. There were large decreases in clinician-rated and self-reported symptoms at each assessment (Hedges' g = 0.84-2.13). There were small-to-moderate increases in MCA velocity (g = 0.32-0.57) and conductance (g = 0.20-0.76) across time, with minimal changes in pulsatility (all g < 0.21).

CONCLUSIONS

Preliminary results suggest RET for MDD treatment is feasible and plausibly efficacious, finding large antidepressant effects. A sufficiently powered randomized controlled trial to assess RET's efficacy for treating MDD via potential cerebrovascular mechanisms is warranted.

INcentives and ReMINDers to Improve Long-Term Medication Adherence (INMIND): impact of a pilot randomized controlled trial in a large HIV clinic in Uganda

INTRODUCTION

Habits are a common strategy for successfully countering medication non-adherence, yet existing interventions do not support participants during the long habit formation period, resulting in high attrition. We test a novel intervention combining text messages and incentives with anchoring to support antiretroviral therapy (ART) pill-taking habits.

METHODS

In a randomized, parallel controlled trial, a sample of 155 participants 18 years and older who initiated ART within 3 months were recruited at Mildmay Uganda between October 2021 and April 2022. All participants were educated on the anchoring strategy and chose an anchor, that is existing routines, to pair with pill-taking. Participants were randomized to either usual care (C = 49), daily text message reminders to follow their anchoring plan (Messages group; T1 = 49) or messages and incentives conditional on pill-taking in line with their anchor (Incentives group; T2 = 57). Assessments occurred at baseline, month 3 (end of intervention) and month 9 (end of observation period). The primary outcomes are electronically measured mean adherence and pill-taking consistent with participants' anchor time.

RESULTS

The primary outcome of pill-taking in line with the anchoring plan was higher in the Incentives group during the 3-month intervention (12.2 p.p. [95% CI: 2.2 22.2; p = .02]), and remained significantly higher after the incentives were withdrawn (months 4-6 (14.2 p.p. [95% CI 1.1 27.2; p = .03]); months 7-9 (14.1 p.p. [95% CI -0.2 28.5; p = .05])). Mean adherence was higher in both treatment groups relative to the control group during the intervention (T1 vs. C, p = .06; T2 vs. C, p = .06) but not post-intervention.

CONCLUSIONS

The promising approach of using incentives to support habit formation among ART treatment initiators needs to be evaluated in a fully powered study to further our understanding of the habit formation process and to evaluate its cost-effectiveness.

Explanatory variables of objectively measured 24-h movement behaviors in people with prediabetes and type 2 diabetes: A systematic review

AIM

Physical activity (PA), sedentary behavior (SB) and sleep (i.e. 24-h movement behaviors) are associated with health indicators in people with prediabetes and type 2 diabetes (T2D). To optimize 24-h movement behaviors, it is crucial to identify explanatory variables related to these behaviors. This review aimed to summarize the explanatory variables of 24-h movement behaviors in people with prediabetes or T2D.

METHODS

A systematic search of four databases (PubMed, Web of Science, Scopus & Embase) was performed. Only objective measurements of 24-h movement behaviors were included in the search strategy. The explanatory variables were classified according to the levels of the socio-ecological model (i.e. intrapersonal, interpersonal and environmental). The risk of bias was assessed using the Joanna Briggs Institute appraisal checklist.

RESULTS

None of the 78 included studies investigated 24-h movement behaviors. The majority of the studies investigated PA in isolation. Most studied explanatory variables were situated at the intrapersonal level. Being male was associated with more moderate to vigorous PA but less light PA in people with T2D, and more total PA in people with prediabetes. An older age was associated with a decrease in all levels of PA in people with T2D. HbA1c was positively associated with sleep and SB in both groups. No associations were found at the interpersonal or environmental level.

CONCLUSION

The results of this review underscore the lack of a socio-ecological approach toward explanatory variables of 24-h movement behaviors and the lack of focus on an integrated 24-h movement behavior approach in both populations.

Facilitators and barriers to behavior change in overweight and obesity management using the COM-B model

Introduction

Increasing overweight and obesity rates represent one of the global public health challenges. COM-B is a theoretical model used to identify areas to target to achieve behavior change. It identifies three factors that are needed for any behavior to occur: capability, opportunity, and motivation. We aimed to assess the potential facilitators and barriers to behavior change in weight management using the COM-B.

Methods

The study included 139 people with overweight and obesity (mean age 48.81 ± 14.49 years; 64.5% female; body mass index 32.64 ± 6.51 kg/m2; waist-to-height ratio 0.62 ± 0.10) from primary care settings. All participants completed the Brief Measure of Behavior Change (COM-B), the General Self-Efficacy Scale (GSE), the Rosenberg Self-esteem Scale (RSE), and the Overall Evaluation of Health (OEH). Multiple linear regression was performed to analyse the data.

Results

The associations between sociodemographic and clinical variables and COM-B domains attenuated or were no longer significant when psychological resources were added to the regression models. Self-efficacy was identified as a stronger facilitator of health behavior change (p < 0.001) when compared to self-esteem (p < 0.05). No associations between automatic motivation and psychological resources were identified, however. Automatic motivation was found to be associated with higher age, being in a relationship, and better health.

Discussion

Behavioral interventions for weight management should specifically target different components of COM-B. Self-efficacy and self-esteem may play a significant role in individual capabilities, opportunities, and reflective motivation and should be included in tailored public health interventions. Health programs targeting younger and single people, and people with chronic conditions may help to promote sustainable behavior change.

Beliefs about Medicines and the Level of Intentional Non-Adherence to Treatment among Patients with Multiple Sclerosis Treated with First-Line Drugs

INTRODUCTION

Multiple sclerosis (MS) is a chronic inflammatory, demyelinating and neurodegenerative disease of the central nervous system. MS has no curable disease but drug modifying therapy (DMT) can delay the long-term disability progression of the disease. The effectiveness of MS treatment depends on the patient's adherence to therapy.

AIM

This study evaluated the level of intentional non-adherence and the relationship between beliefs about medication and the level of intentional non-adherence to treatment of patients with multiple sclerosis.

MATERIAL AND METHODS

A group of 146 patients with relapsing-remitting MS were included. To assess different aspect of adherence, the Intentional Non-Adherence Scale (INAS) was used. For evaluating patients' beliefs and opinions regarding medication, the Beliefs about Medicines Questionnaire (BMQ) was used.

RESULTS

The mean total INAS score was 51.41 ± 27.83 points. Patients were most concerned about the necessity to take medication and least concerned about the harm caused by medication. The overuse and harm domains of the BMQ were significantly correlated with INAS scores (p < 0.05).

CONCLUSIONS

Independent determinant of intentional non-adherence was overuse.

Can temporal self-regulation theory and its constructs predict medication adherence? A systematic review and meta-analysis

The relationships between temporal self-regulation theory (TST) constructs (intention, behavioural prepotency and self-regulatory capacity) and medication adherence should be established before further applying the theory to adherence. Searches of PsychINFO, Medline, EMBASE, CINAHL and Web of Science were conducted in 2019 (updated November 2021). Studies had to be original quantitative research, assessed the relationship between one of the constructs and adherence in one illness, and used an adult population. The risk of bias was assessed using the NHLBI Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies. Three meta-analyses were conducted using R. Moderation analyses were also conducted. A total of 57 articles (60 studies) with 13,995 participants were included, with 7 studies included in more than one analysis. Results identified significant correlations between intention (r = .369, [95% CI: .25, .48]), behavioural prepotency (r = .332, [95% CI: .18, .48]), self-regulatory capacity (r = .213, [95% CI: .10, .32]) and adherence. There was some evidence of publication bias and no significant moderators. No studies explored the interactions in the theory, so whilst the constructs adequately predict adherence, future research should apply the theory to adherence in a specific illness to assess these relationships. Pre-registered on Prospero: CRD42019141395.

Patient Perspectives on a Tailored Self-Management Education and Support Intervention for Low-Income Seniors With Chronic Health Conditions

Background

The Assessing Outcomes of Enhanced Chronic Disease Care Through Patient Education and a Value-based Formulary Study (ACCESS) was a 2 x 2 factorial randomized trial that tested the impact of a tailored self-management education support (SMES) program, which demonstrated a 22% reduction in adverse clinical events. We sought to qualitatively explore participants' perspectives on the SMES intervention, and the ways in which it may have improved self-management skills.

Methods

We used a qualitative descriptive approach and conducted individual semistructured interviews. We conducted inductive and deductive thematic analysis using NVivo 12 (QSR International, Burlington, MA).

Results

We interviewed 20 participants who had recently completed the 3-year SMES intervention. The following 3 main themes emerged from the data: (i) empowerment; (ii) intervention acceptability; and (iii) suggestions for improvement. Regarding empowerment, we identified subthemes of health literacy, self-efficacy, self-management, and active role in health. Several participants reported that empowerment promoted health behaviour change or improved confidence in self-management. Regarding acceptability, we identified subthemes of ease of use and presentation style. Most participants expressed positive feelings toward the intervention and felt that it was easy to understand. Finally, we identified subthemes of learning style, content, and engagement strategies, within the theme of suggestions for improvement. Some participants said that the messages were too general and did not fully address the complex health concerns they had.

Conclusions

Our results highlighted key strategies to promote patient engagement and self-management behaviours and demonstrated how they may have been used to improve clinical endpoints. Additionally, we demonstrated the novel use of marketing principles in SMES interventions.

Habit Formation Intervention to Improve Type 2 Diabetes Self-Management Behaviors: A Feasibility Study

IMPORTANCE

Self-management of lifestyle behaviors is the recommended focus for interventions to address Type 2 diabetes. Habit formation is an effective approach to changing personal behaviors, but evidence of success for Type 2 diabetes is limited.

OBJECTIVE

To examine the feasibility and preliminary effectiveness of occupation-based habit formation interventions for improving diabetes self-management behaviors.

DESIGN

Single-subject design with multiple participants providing 4 wk of baseline data followed by 10 wk of intervention data.

SETTING

Individual telehealth sessions.

PARTICIPANTS

Eight adults (ages 29-75 yr) with Type 2 diabetes, who had access to a telephone and who were not involved in other diabetes-related education or interventions voluntarily, enrolled into the study.

INTERVENTION

Participants engaged in 10 wk of habit formation intervention focused on four diabetes self-management domains: nutrition, blood glucose monitoring, medication management, and physical activity.

OUTCOMES AND MEASURES

Data gathered included findings on measures of diabetes self-care behaviors and habit formation.

RESULTS

There was a significant change in self-care behaviors for 6 of the 8 participants (p < .05 for 1 participant, and p < .01 for 5 participants). Group changes were statistically significant (p < .001). Habit strength significantly improved for all areas of diabetes self-management (p < .001 for nutrition, blood glucose monitoring, and medication management and p = .001 for physical activity).

CONCLUSIONS AND RELEVANCE

Findings suggest that the occupation-based intervention was feasible and showed promise for developing self-management behaviors. What This Article Adds: Habits are considered foundational to occupations, yet application of the science of habit formation is often not well understood by occupational therapists. This study considered the theoretical components of habit formation that have been neglected by prior studies and demonstrates the feasibility and preliminary effect estimates of a habit formation intervention when used with people with Type 2 diabetes.

Medication adherence in youths with CKD: habits for success

BACKGROUND

Poor adherence habits are key contributors to nonadherence but there are few clinically feasible methods for evaluating adherence habits, particularly for youths with chronic kidney disease (CKD). This study investigated how participants' qualitative responses to three interview questions about adherence habits mapped to primary principles of habit formation and objectively measured medication adherence in youths with CKD.

METHODS

Participants (ages 11-21 years) were recruited from a pediatric nephrology clinic as part of a larger study. Participants' daily objective antihypertensive medication adherence was measured with an electronic pill bottle over a 4-week baseline period. Qualitative interviews about adherence habits and routines were conducted with a subset of participants (N = 18).

RESULTS

Clear qualitative differences emerged in how participants with high-medium adherence (80-100%) discussed adherence habits compared to participants with low adherence (0-79%). Participants with high-medium adherence discussed situational cues for taking medicine, including locations that cue adherence, step-by-step events leading up to taking medicine, and people who cue adherence. Participants with high-medium adherence regularly described taking medicine as "automatic," "second nature," and a "habit." Participants with low adherence rarely discussed these habit features nor did they explicitly acknowledge currently missing doses. Participants with low adherence tended to discuss challenges with organization and routines for taking medicine.

CONCLUSIONS

Evaluating patient responses to questions about adherence habits may uncover challenges with adherence habit formation, provide direction for habit-strengthening intervention focused on developing automatic cues for taking medication, and support adherence successes for youths with CKD.

CLINICAL TRIAL REGISTRATION NUMBER

NCT03651596. A higher resolution version of the Graphical abstract is available as Supplementary information.

Ramifications of behavioural complexity for habit conceptualisation, promotion, and measurement

Behavioural theories, predictions, and interventions should be relevant to complex, real-world health behaviours and conditions. Habit theory and habit formation interventions show promise for predicting and promoting, respectively, longer-term behaviour change and maintenance than has been attained with theories and interventions focused only on deliberative behavioural factors. However, the concept of habit has largely been treated as uniform across different types of behaviours. In this conceptual review, we contend that the definitional aspects of habit differ at a conceptual level for simple versus more complex behaviours, with ramifications for prediction, promotion, and measurement of habits. Specifically, habits are defined as direct context-response associations learned through repeatedly rewarded responding - but what is meant by 'response' and 'reward' depends upon the complexity of the behaviour. We review literature that suggests (1) responses in complex habits have separable and substitutable components (vs a single and static, unitary component) and (2) rewards for complex habits are necessarily continued and intrinsic (vs temporary and extrinsic, respectively). We discuss some empirical and theoretical questions raised by these issues around behavioural complexity and habit. Lastly, we outline the ramifications of these issues for habit measurement (habit strength and habit formation) via self-report and objective measures.

Evaluating Objective Metrics of habit strength for taking medications

Habit strength for taking medication is associated with medication adherence. However, habit strength is typically measured via self-reports, which have limitations. Objective sensors may provide advantages to self-reports. To evaluate whether habit-strength metrics derived from objective sensor data (MEMS® Caps; AARDEX Group) are associated with self-reported habit strength and adherence (objective and self-reported) and whether objective and self-reported habit strength are independently associated with adherence. Patients (N = 79) on oral medications for type 2 diabetes completed self-reports of habit strength and medication adherence and used MEMS® Caps to take their prescribed medication for one month. MEMS® Caps data were used to create five objective metrics of habit strength (e.g., individual-level variance in pill timing) and quantify medication adherence (% days correct dosing). Consistency in behavior from week to week (versus across each day) had the greatest association with self-reported habit strength (r(78) = 0.29, p = 0.01), self-reported adherence (r(78) = 0.32, p = 0.005), and objective adherence (r(78) = 0.61, p < 0.001). Objective and self-reported habit strength were independently associated with adherence. Weekly pill-timing consistency may be more useful than daily pill-timing consistency for predicting adherence and understanding patients' medication-taking habits. Self-reports and objective metrics of habit strength may be measuring different constructs, warranting further research.

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.

Mindfulness Meditation App Abandonment During the COVID-19 Pandemic: An Observational Study

Objectives

Mindfulness meditation apps are used by millions of adults in the USA to improve mental health. However, many new app subscribers quickly abandon their use. The purpose of this study was to determine the behavioral, demographic, and socioeconomic factors associated with the abandonment of meditation apps during the COVID-19 pandemic.

Method

A survey was distributed to subscribers of a popular meditation app, Calm, at the start of the COVID-19 pandemic in March 2020 that assessed meditation app behavior and meditation habit strength, as well as demographic and socioeconomic information. App usage data were also collected from the start of each participant's subscription until May 2021. A total of 3275 respondents were included in the analyses. Participants were divided into three cohorts according to their subscription start date: (1) long-term subscribers (> 1 year before pandemic start), (2) pre-pandemic subscribers (< 4 months before pandemic start), and (3) pandemic subscribers (joined during the pandemic).

Results

Meditating after an existing routine was associated with a lower risk of app abandonment for pre-pandemic subscribers (hazard ratio = 0.607, 95% CI: 0.422, 0.874; p = 0.007) and for pandemic subscribers (hazard ratio = 0.434, 95% CI: 0.285, 0.66; p < 0.001). Additionally, meditating "whenever I can" was associated with lower risk of abandonment among pandemic subscribers (hazard ratio = 0.437, 95% CI: 0.271, 0.706; p < 0.001), and no behavioral factors were significant predictors of app abandonment among the long-term subscribers.

Conclusions

These results show that combining meditation with an existing daily routine was a commonly utilized strategy for promoting persistent meditation app use during the COVID-19 pandemic for many subscribers. This finding supports existing evidence that pairing new behaviors with an existing routine is an effective method for establishing new health habits.

Preregistration

This study is not pre-registered.

Combining Behavioral Economics-Based Incentives With the Anchoring Strategy: Protocol for a Randomized Controlled Trial

BACKGROUND

Chronic (ie, long-term) elevated stress is associated with a number of mental and physical health conditions. Mindfulness meditation mobile apps are a promising tool for stress self-management that can overcome several barriers associated with in-person interventions; however, to date, poor app-based intervention adherence has limited the efficacy of these mobile health tools. Anchoring, or pairing, a new behavior with an existing routine has been shown to effectively establish habits that are maintained over time, but this strategy typically only works for those with high initial motivation and has yet to be tested for maintaining meditation with a mobile app.

OBJECTIVE

This study will test novel combinations of behavioral economics-based incentives with the anchoring strategy for establishing and maintaining adherence to an effective dose of meditation with a mobile app.

METHODS

This 16-week study will use a 5-arm, parallel, partially blinded (participants only), randomized controlled design. We will implement a fractional factorial study design that varies the use of self-monitoring messages and financial incentives to support participants' use of their personalized anchoring strategy for maintaining adherence to a ≥10 minute-per-day meditation prescription during an 8-week intervention period, followed by an 8-week postintervention observation period. Specifically, we will vary the use of self-monitoring messages of either the target behavior (ie, meditation tracking) or the outcome associated with the target behavior (ie, mood symptom tracking). We will also vary the use of financial incentives conditional on either meditation at any time of day or meditation performed at approximately the same time of day as participants' personalized anchors.

RESULTS

Continuous meditation app use data will be used to measure weekly meditation adherence over the 16-week study period as a binary variable equal to 1 if participants complete ≥10 minutes of meditation for ≥4 days per week and 0 otherwise. We will measure weekly anchoring plan adherence as a binary variable equal to 1 if participants complete ≥10 minutes of meditation within +1 or -1 hour of the timing of their chosen anchor on ≥4 days per week and 0 otherwise. In addition to these primary measures of meditation and anchoring plan adherence, we will also assess the secondary measures of stress, anxiety, posttraumatic stress disorder, sleep disturbance, and meditation app habit strength at baseline, week 8, and week 16.

CONCLUSIONS

This study will fill an important gap in the mobile health literature by testing novel intervention approaches for establishing and maintaining adherence to app-based mindfulness meditation. If successful, this study will identify an accessible and scalable stress self-management intervention that can help combat stress in the United States.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05217602; https://clinicaltrials.gov/ct2/show/NCT05217602.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/39930.

The Role of Habit Formation and Automaticity in Diabetes Self-Management: Current Evidence and Future Applications

PURPOSE OF REVIEW

Diabetes is a chronic condition that requires consistent self-management for optimal health outcomes. People with diabetes are prone to burnout, cognitive burden, and sub-optimal performance of self-management tasks. Interventions that focus on habit formation have the potential to increase engagement by facilitating automaticity of self-management task performance. The purpose of this review is to (1) clarify the conceptualizations of habit formation and behavioral automaticity in the context of health behavior interventions, (2) review the evidence of habit in relation to behaviors relevant to diabetes self-management, and (3) discuss opportunities for incorporating habit formation and automaticity into diabetes self-management interventions.

RECENT FINDINGS

Modern habit research describes a habit as a behavior that results over time from an automatic mental process. Automatic behaviors are experienced as cue-dependent, goal-independent, unconscious, and efficient. Habit formation requires context-dependent repetition to form cue-behavior associations. Results of diabetes habit studies are mixed. Observational studies have shown positive associations between habit strength and target self-management behaviors such as taking medication and monitoring blood glucose, as well as glycemic outcomes such as HbA1c. However, intervention studies conducted in similar populations have not demonstrated a significant benefit of habit-forming interventions compared to controls, possibly due to varying techniques used to promote habit formation. Automaticity of self-management behaviors has the potential to minimize the burden associated with performance of self-management tasks and ultimately improve outcomes for people with diabetes. Future studies should focus on refining interventions focused on context-dependent repetition to promote habit formation and better measurement of habit automaticity in diabetes self-management.

Patients' Perceived Importance of Medication and Adherence in Polypharmacy, a Quantitative, Cross-Sectional Study Using a Questionnaire Administered in Three Doctors' Private Practices in France

BACKGROUND

Among the determinants of nonadherence, polypharmacy (common in people with multiple pathologies and especially in elderly patients), plays a major role.

OBJECTIVE

In patients who are subject to polypharmacy involving different classes of medications, the first aim is to assess the impact of medication importance given by patients on (i) medication adherence and (ii) the respective effect of intentionality and habit in medication importance and medication adherence. The second objective is to compare the importance given to medication and adherence in the different therapeutic classes.

PATIENTS AND METHODS

Patients taking 5-10 different medications for at least 1 month were included in a cross-sectional survey in three private practices in one region in France.

RESULTS

This study included 130 patients (59.2 % female) with 851 medications in total. The mean ± standard deviation (SD) age was 70.5 ± 12.2 years. The mean ± SD of medications taken was 6.9 ± 1.7. Treatment adherence had a strong positive correlation with the patient-perceived medication importance (p < 0.001). Counter-intuitively, taking a large number of medications (≥7) was associated with being fully adherent (p = 0.02). A high intentional nonadherence score was negatively associated with high medication importance (p = 0.003). Furthermore, patient-perceived medication importance was positively associated with taking treatment by habit (p = 0.03). Overall nonadherence more strongly correlated with unintentional nonadherence (p < 0.001) than with intentional nonadherence (p = 0.02). Compared to the antihypertensive class, a decrease in adherence by medication was observed in psychoanaleptics (p < 0.0001) and drugs used in diabetes class (p = 0.002), and a decrease in importance in lipid-modifying agents class (p = 0.001) and psychoanaleptics (p < 0.0001).

CONCLUSION

The perception of the importance of a medicine is associated with the place of intentionality and habit in patient adherence. Therefore, explaining the importance of a medicine should become an important part of patient education.

Supporting the Art: Medication Adherence Patterns in Persons Prescribed Ingestible Sensor-enabled Oral Pre-Exposure Prophylaxis to Prevent Human Immunodeficiency Virus Infection

BACKGROUND

Timely, accurate adherence data may support oral pre-exposure prophylaxis (PrEP) success and inform prophylaxis choice. We evaluated a Food and Drug Administration (FDA)-approved digital health feedback system (DHFS) with ingestible-sensor-enabled (IS) tenofovir-disoproxil-fumarate plus emtricitabine (Truvada®) in persons starting oral PrEP.

METHODS

Human immunodeficiency virus (HIV)-negative adults were prescribed IS-Truvada® with DHFS for 12 weeks to observe medication taking behavior. Baseline demographics, urine toxicology, and self-report questionnaires were obtained. Positive detection accuracy and adverse events were computed as percentages, with Kaplan Meier Estimate for persistence-of-use. In participants persisting ≥28 days, adherence patterns (taking and timing) were analyzed, and mixed-effects logistic regression modeled characteristics associated with treatment adherence.

RESULTS

Seventy-one participants were enrolled, mean age 37.6 years (range 18-69), 90.1% male, 77.5% White, 33.8% Hispanic, 95.8% housed, and 74.6% employed. Sixty-three participants (88.7%) persisted ≥28 days, generating 4987 observation days, average 79.2 (29-105). Total confirmed doses were 86.2% (95% confidence interval [CI] 82.5, 89.4), decreasing over time, odds ratio (OR) 0.899 (95% CI .876, .923) per week, P < .001; 79.4% (95% CI 66.7%, 87.3%) of participants had ≥80% adherence. Pattern analysis showed days without confirmed doses clustered (P = .003); regular dose timing was higher among participants with ≥80% confirmed doses (0.828, 95% CI .796 to .859) than among those with <80% (0.542, 95% CI95 .405 to .679) P < .001. In multi-predictor models, better adherence was associated with older age, OR 1.060 (95% CI 1.033, 1.091) per year, P < .001; negative vs positive methamphetamine screen, OR 5.051 (95% CI 2.252, 11.494), P < .001.

CONCLUSIONS

DHFS with IS-Truvada® distinguished adherent persons from those potentially at risk of prophylactic failure. Ongoing methamphetamine substance use may impact oral PrEP success.

Two-way Automated Text Messaging Support From Community Pharmacies for Medication Taking in Multiple Long-term Conditions: Human-Centered Design With Nominal Group Technique Development Study

BACKGROUND

Reviews of digital communication technologies suggest that they can be effective in supporting medication use; however, their use alongside nondigital components is unclear. We also explored the delivery of a digital communication intervention in a relatively novel setting of community pharmacies and how such an intervention might be delivered to patients with multiple long-term conditions. This meant that despite the large number of intervention examples available in the literature, design questions remained, which we wanted to explore with key stakeholders. Examples of how to involve stakeholders in the design of complex health care interventions are lacking; however, human-centered design (HCD) has been suggested as a potential approach.

OBJECTIVE

This study aimed to design a new community pharmacy text messaging intervention to support medication use for multiple long-term conditions, with patient and health care professional stakeholders in primary care.

METHODS

HCD was used to map the intervention "journey" and identify design questions to explore with patients and health care professionals. Six prototypes were developed to communicate the intervention concept, and a modified version of the Nominal Group Technique was used to gather feedback. Nominal group meetings generated qualitative data using questions about the aspects that participants liked for each prototype and any suggested changes. The discussion was analyzed using a framework approach to transform feedback into statements. These statements were then ranked using a web-based questionnaire to establish a consensus about what elements of the design were valued by stakeholders and what changes to the design were most important.

RESULTS

A total of 30 participants provided feedback on the intervention design concept over 5 nominal group meetings (21 health care professionals and 9 patients) with a 57% (17/30) response rate to the ranking questionnaire. Furthermore, 51 proposed changes in the intervention were generated from the framework analysis. Of these 51 changes, 27 (53%) were incorporated into the next design stage, focusing on changes that were ranked highest. These included suggestions for how text message content might be tailored, patient information materials, and the structure for pharmacist consultation. All aspects that the participants liked were retained in the future design and provided evidence that the proposed intervention concept had good acceptability.

CONCLUSIONS

HCD incorporating the Nominal Group Technique is an appropriate and successful approach for obtaining feedback from key stakeholders as part of an iterative design process. This was particularly helpful for our intervention, which combined digital and nondigital components for delivery in the novel setting of a community pharmacy. This approach enabled the collection and prioritization of useful multiperspective feedback to inform further development and testing of our intervention. This model has the potential to minimize research waste by gathering feedback early in the complex intervention design process.

Medication habits among persons with multiple sclerosis

BACKGROUND

Though habitual behavior is part of medication-taking behavior, studies of adherence to medication among persons with relapsing remitting multiple sclerosis (PwRRMS) have not prospectively examined habit in relation to disease-modifying treatments (DMTs).

OBJECTIVES

1. Examine habit dimensions - repetition, lack of awareness, and lack of control - across time and route of administration (oral vs. injectable). 2. Examine the association (prospective and cross sectional) of the dimension of repetition and the habit index with adherence and persistence in medication taking and to medication perceptions.

METHODS

PwMS (n = 140), in their first year of treatment with a DMT, were prospectively assessed at three time points: at baseline, 6 months later (Time 1), and 12 months later (Time 2). Clinical and demographic information were obtained in-person, as were patient-reported medication habits and medication perceptions. Adherence and persistence were assessed with a combination of self-reporting and retrospective review of medication claims.

RESULTS

Repeated measures analysis of variance (ANOVA), with dimension as the within-subject factor at each time point, indicated that the repetition dimensions at all points were significantly higher than lack of awareness and lack of control dimensions. Repeated measures ANOVA, with time as the within-subject factor and route of administration as between-subject factor, yielded a significant time effect in repetition and lack of awareness dimensions so that they increased across time but not in lack of control; administration route effects were found to be nonsignificant in all dimensions. Repetition at Time 1 was positively associated with patient-reported adherence at this time point (r_s = 0.33, p = 0.002) but this was not consistently found at other time points . Likewise, reported repetition at Time 1 was higher among PwRMS who persisted with their medication a year later than among those who did not persist. Perceptions of medication (concern, harm, and overtreatment) were significantly negatively associated with reported repetition.

CONCLUSIONS

Over time, PwRMS reported an increase in two habit dimensions, repetition and lack of awareness, in medication taking. No significant differences in habit by administration modality were found. The habit dimension of repetition was significantly associated with perceptions of medication, adherence, and prospectively predicted persistence. However, the low values obtained for lack of awareness and lack of control, compared with the higher levels of repetition, indicate that the habit is not well ingrained. Hence, intervention to target habit formation and maintenance, to be tailored to the individual, are a promising venue for enhancing medication adherence and improving disease outcomes.

Supporting adjuvant endocrine therapy adherence in women with breast cancer: the development of a complex behavioural intervention using Intervention Mapping guided by the Multiphase Optimisation Strategy

BACKGROUND

Adjuvant endocrine therapy (AET) reduces the risk of breast cancer recurrence and mortality. However, up to three-quarters of women with breast cancer do not take AET as prescribed. Existing interventions to support adherence to AET have largely been unsuccessful, and have not focused on the most salient barriers to adherence. This paper describes the process of developing four theory-based intervention components to support adherence to AET. Our aim is to provide an exemplar of intervention development using Intervention Mapping (IM) with guidance from the Multiphase Optimisation Strategy (MOST).

METHODS

Iterative development followed the six-stage IM framework with stakeholder involvement. Stage 1 involved a literature review of barriers to adherence and existing interventions, which informed the intervention objectives outlined in Stage 2. Stage 3 identified relevant theoretical considerations and practical strategies for supporting adherence. Stage 4 used information from Stages 1-3 to develop the intervention components. Stages 1-4 informed a conceptual model for the intervention package. Stages 5 and 6 detailed implementation considerations and evaluation plans for the intervention package, respectively.

RESULTS

The final intervention package comprised four individual intervention components: Short Message Service to encourage habitual behaviours surrounding medication taking; an information leaflet to target unhelpful beliefs about AET; remotely delivered Acceptance and Commitment Therapy-based guided self-help to reduce psychological distress; and a website to support self-management of AET side-effects. Considerations for implementation within the NHS, including cost, timing and mode of delivery were outlined, with explanation as to how using MOST can aid this. We detail our plans for the final stage of IM which involve feasibility testing. This involved planning an external exploratory pilot trial using a 24-1 fractional factorial design, and a process evaluation to assess acceptability and fidelity of intervention components.

CONCLUSIONS

We have described a systematic and logical approach for developing a theoretically informed intervention package to support medication adherence in women with breast cancer using AET. Further research to optimise the intervention package, guided by MOST, has the potential to lead to more effective, efficient and scalable interventions.

Impacts of two behavior change interventions on determinants of medication adherence: process evaluation applying the health action process approach and habit theory alongside a randomized controlled trial

Investigating the mechanisms of behavior change interventions provides a more fulsome understanding of how and why interventions work (or don't work). We assessed mechanisms of two interventions (mailouts alone, and mailouts plus telephone support, informed by the Health Action Process Approach (HAPA) and Habit Theory), designed to increase medication adherence after myocardial infarction. We conducted a process evaluation alongside a pragmatic trial. Medication adherence was assessed via self-report at 12-months in the trial, and participants in all trial groups were invited to contemporaneously complete an additional questionnaire assessing targeted mechanisms (HAPA constructs and automaticity). We used multiple regression-based mediation models to investigate indirect effects. Of 589 respondents, 497 were analyzed (92 excluded due to missing data). Mailouts plus telephone support had statistically significant but small effects on intention, social support, action planning, coping planning, and automaticity. There were no indirect effects of interventions on medication adherence via these constructs. Therefore, while this intervention led to changes in proposed mechanisms, these changes were not great enough to lead to behavior change. Refinements (and subsequent evaluation) of the interventions are warranted, and our findings indicate that this could involve offering more intensive support to form plans and identify cues for taking medications, in addition to providing physical supports to encourage self-monitoring, feedback, and habit formation. Trial registration: ClinicalTrials.gov: NCT02382731.

Identifying the psychosocial predictors of ultraviolet exposure to the face in patients with xeroderma pigmentosum: a study of the behavioural factors affecting clinical outcomes in this genetic disease

Background

For patients with xeroderma pigmentosum (XP), the main means of preventing skin and eye cancers is extreme protection against ultraviolet radiation (UVR), particularly for the face. We have recently developed a methodology for objectively measuring photoprotection behaviour (‘UVR dose to facial skin’) and have found that the degree of photoprotection varies greatly between patients with XP. We have previously identified factors affecting photoprotection behaviour in XP using a subjective measure of photoprotection. Here, we have used this objective methodology to identify the factors which determine photoprotection behaviour in XP.

Methods

We studied 29 psychological, social, demographic and clinical variables in 36 patients with XP. We have previously objectively measured UVR protection (by measuring the dose of UVR reaching the skin of the face over a 3-week period) in these patients. Here, we use linear mixed-effects model analysis to identify the factors which lead to the differences in degree of photoprotection observed in these patients.

Results

Psychosocial factors accounted for as much of the interindividual variation in photoprotection behaviour (29%) as demographic and clinical factors (24%). Psychosocial factors significantly associated with worse UVR protection included: automaticity of the behaviours, and a group of beliefs and perceptions about XP and photoprotection known to associate with poor treatment adherence in other diseases.

Conclusions

We have identified factors contributing to poor photoprotection in XP. Identifying these potentially reversible psychosocial features has enabled us to design an intervention to improve photoprotection in patients with XP, aiming to prevent skin and eye cancers in these patients.

Socio-behavioral factors related to PrEP non-adherence among gay male PrEP users living in California and New York: A behavioral theory informed approach

One effective preventative measure to reduce the number of new HIV infections is through the uptake of daily oral HIV pre-exposure prophylaxis (PrEP). Although previous clinical trials have proven the effectiveness of on-demand PrEP uptake, daily PrEP uptake is the most popular prevention method among PrEP users and is still recommended by most healthcare professionals and organizations. Informed by the integrative model of behavioral prediction, the current study examined the socio-behavioral factors associated with PrEP non-adherence. The present study conducted a cross-sectional survey of 210 gay male daily PrEP users living in California and New York. The results showed more than two-thirds of the sample indicated that they had skipped taking PrEP within the last 30 days, averaging around four to five missed doses. General attitudes toward desirable and undesirable outcomes, perceived behavioral control, and social-level barriers were associated with daily PrEP uptake non-adherence. The findings highlight providers' role in PrEP adherence and the importance of habit-forming, which can be enhanced by cost-effective strategies and technological innovations.

An Unsafe/Safe Typology in People with Type 2 Diabetes: Bridging Patients' Expectations, Personality Traits, Medication Adherence, and Clinical Outcomes

BACKGROUND

Support programs are provided to people with diabetes to help them manage their disease. However, adherence to and persistence in support programs are often low, making it difficult to demonstrate their effectiveness.

AIM

To identify the determinants of patients' perceived interest in diabetes support programs because it may be a powerful determinant of effective participation in such programs.

PATIENTS AND METHODS

An online study conducted in April 2021 in metropolitan France on 600 people with diabetes recruited from a consumer panel. A 64-item psychosocial questionnaire including a question asking to evaluate the helpfulness of a support program was used. Univariate, multivariate, and multiple correspondence analyses were performed.

RESULTS

The existence of a typology, known as Unsafe/Safe, was discovered, in which patients with type 2 diabetes respond in two distinct ways. Type U (unsafe) patients, who believe that a support program would be helpful, are more likely to be nonadherent to their treatment, have high hemoglobin A1c levels, have at least one diabetic complication, lack information regarding their disease and treatment, rate the burden of their disease and impairment of their quality of life as high, worry about their future, and are pessimistic. Type S (safe) patients have the opposite characteristics. Type U patients can be dichotomized into two broad classes: one in which they lack information regarding disease and treatment and the other in which alterations in the quality of life and burden of the disease predominate. Insulin-treated patients give more importance to the lack of information, whereas noninsulin-treated patients complain primarily about the burden of the disease and impairment of quality of life.

CONCLUSION

This study describes this new U/S typology, proposes a simple method based on a nine-item questionnaire to identify type U patients by calculating a Program Helpfulness Score described herein, and clarifies the nature of the intervention to be provided to them. This novel approach could be applied to other chronic diseases.

Identifying App-Based Meditation Habits and the Associated Mental Health Benefits: Longitudinal Observational Study

Background

Behavioral habits are often initiated by contextual cues that occur at approximately the same time each day; so, it may be possible to identify a reflexive habit based on the temporal similarity of repeated daily behavior. Mobile health tools provide the detailed, longitudinal data necessary for constructing such an indicator of reflexive habits, which can improve our understanding of habit formation and help design more effective mobile health interventions for promoting healthier habits.

Objective

This study aims to use behavioral data from a commercial mindfulness meditation mobile phone app to construct an indicator of reflexive meditation habits based on temporal similarity and estimate the association between temporal similarity and meditation app users’ perceived health benefits.

Methods

App-use data from June 2019 to June 2020 were analyzed for 2771 paying subscribers of a meditation mobile phone app, of whom 86.06% (2359/2771) were female, 72.61% (2012/2771) were college educated, 86.29% (2391/2771) were White, and 60.71% (1664/2771) were employed full-time. Participants volunteered to complete a survey assessing their perceived changes in physical and mental health from using the app. Receiver operating characteristic curve analysis was used to evaluate the ability of the temporal similarity measure to predict future behavior, and variable importance statistics from random forest models were used to corroborate these findings. Logistic regression was used to estimate the association between temporal similarity and self-reported physical and mental health benefits.

Results

The temporal similarity of users’ daily app use before completing the survey, as measured by the dynamic time warping (DTW) distance between app use on consecutive days, significantly predicted app use at 28 days and at 6 months after the survey, even after controlling for users’ demographic and socioeconomic characteristics, total app sessions, duration of app use, and number of days with any app use. In addition, the temporal similarity measure significantly increased in the area under the receiver operating characteristic curve (AUC) for models predicting any future app use in 28 days (AUC=0.868 with DTW and 0.850 without DTW; P<.001) and for models predicting any app use in 6 months (AUC=0.821 with DTW and 0.802 without DTW; P<.001). Finally, a 1% increase in the temporal similarity of users’ daily meditation practice with the app over 6 weeks before the survey was associated with increased odds of reporting mental health improvements, with an odds ratio of 2.94 (95% CI 1.832-6.369).

Conclusions

The temporal similarity of the meditation app use was a significant predictor of future behavior, which suggests that this measure can identify reflexive meditation habits. In addition, temporal similarity was associated with greater perceived mental health benefits, which demonstrates that additional mental health benefits may be derived from forming reflexive meditation habits.

Investigation of Barriers and Facilitators to Medication Adherence in Patients With Type 2 Diabetes Across Different Health Literacy Levels: An Explanatory Sequential Mixed Methods Study

Type 2 diabetes (T2D) incurs tremendous healthcare costs associated with various complications due to poor blood sugar control. Medication adherence, which is correlated with patients’ health literacy, should be consistently practiced to achieve optimal control of blood sugar. A comprehensive understanding of specific communication and psychosocial factors related to medication-taking behaviors across different levels of health literacy among people with T2D will guide the development of effective interventions and strategies to enhance medication adherence. To understand barriers and facilitators to medication adherence in people with T2D across different health literacy levels, the Health Literacy Pathway Model was used to identify the psychosocial and communication factors that may influence medication adherence. This mixed methods study used an explanatory sequential design, including a quantitative survey followed by qualitative semi-structured interviews. Two hundred and five participants completed the survey questionnaire, and 23 participants completed semi-structured interviews. Confirmed by quantitative and qualitative data, having stronger self-efficacy and fewer concerns about medications, as well as experiencing fewer perceived barriers to medication-taking, are necessary for better medication adherence among those with low adherence. Our findings will be useful to tailor interventions for diabetes care through addressing concerns among low-adherent patients with low health literacy and emphasizing self-efficacy and perceived barriers to medication adherence among all low-adherent patients with T2D.

A scoping review of research on the determinants of adherence to social distancing measures during the COVID-19 pandemic

This scoping review focused on answering key questions about the focus, quality and generalisability of the quantitative evidence on the determinants of adherence to social distancing measures in research during the first wave of COVID-19. The review included 84 studies. The majority of included studies were conducted in Western Europe and the USA. Many lacked theoretical input, were at risk for bias, and few were experimental in design. The most commonly coded domains of the TDF in the included studies were 'Environmental Context and Resources' (388 codes across 76 studies), 'Beliefs about Consequences' (34 codes across 21 studies), 'Emotion' (28 codes across 12 studies), and 'Social Influences' (26 codes across 16 studies). The least frequently coded TDF domains included 'Optimism' (not coded), 'Intentions' (coded once), 'Goals' (2 codes across 2 studies), 'Reinforcement' (3 codes across 2 studies), and 'Behavioural Regulation' (3 codes across 3 studies). Examining the focus of the included studies identified a lack of studies on potentially important determinants of adherence such as reinforcement, goal setting and self-monitoring. The quality of the included studies was variable and their generalisablity was threatened by their reliance on convenience samples.

Prevalence and predictors of medication non-adherence among older community-dwelling people with chronic disease in Singapore

AIMS

To determine the prevalence and predictors of medication non-adherence among older community-dwelling people with at least one chronic disease in Singapore.

DESIGN

A single-centre cross-sectional study.

METHODS

The study was conducted in the largest tertiary public hospital in Singapore between May 2019 and December 2019. The community nurses of the hospital recruited a total of 400 community-dwelling older people aged ≥60 years old, who were diagnosed with at least one chronic disease and prescribed with at least one long-term medication. Medication non-adherence was assessed using the self-report 5-item Medication Adherence Report Scale, operationalized as a score of <25. A list of potential factors of medication non-adherence was structured based on the World Health Organization five-domain framework and collected using a self-report questionnaire.

RESULTS

Sixty percent (n = 240) of our participants were non-adherent to their medication regime. Older people who smoked (OR 2.89, 95% CI 1.14-7.33), perceived their medication regime as being complicated (OR 2.54, 95% CI 1.26-5.13), felt dissatisfied with their regime (OR 2.50, 95% CI 1.17-5.31), did not know the purpose of all their medications (OR 2.56, 95% CI 1.42-4.63) and experienced side effects (OR 3.32, 95% CI 1.14-9.67) were found to be predictive of medication non-adherence.

CONCLUSION

Medication adherence was found to be poor in community-dwelling older people in Singapore. The predictors identified in this study can help guide healthcare professionals in identifying older people who are at risk of medication non-adherence and inform the development of interventions to improve adherence.

IMPACT

Medication non-adherence, especially in the older population with chronic diseases, constitutes a serious problem as it undermines the efforts to reduce morbidity and mortality associated with the underlying chronic diseases. To improve adherence, our findings propose the importance of assessing the older person's treatment satisfaction, which includes examining the aspects of side effects, effectiveness and convenience. Additionally, we highlight the need to address the older person's medication knowledge deficit.

Fostering Self-Management of Everyday Memory in Older Adults: A New Intervention Approach

Traditional memory strategy training interventions improve older adults' performance on tests of episodic memory, but have limited transfer to episodic memory tasks, let alone to everyday memory. We argue that an alternative approach is needed to assist older adults to compensate for age-related cognitive declines and to maintain functional capacity in their own natural ecologies. We outline a set of principles regarding how interventions can successfully train older adults to increase successful goal pursuit to reduce risks of everyday memory failures. We argue that training individuals to use metacognitive self-regulatory strategies to proactively manage formulation and pursuit of daily goals can compensate for age-related cognitive changes and increase the likelihood of goal attainment. We then describe an intervention approach that instantiates these principles in a multi-modal intervention that is unique in its three-phase approach: (1) individualized assessment of an individual's current approaches to self-regulation; (2) training memory strategies, self-management skills, and new habits of mind in a group training context; and (3) a behavioral shaping period in which individuals receive coaching and feedback on their efforts to use trained procedures to improve everyday cognition. A recently completed study conducted an initial test of the intervention, with highly encouraging results. We advocate further efforts to replicate, extend, and fine-tune this type of intervention. The ultimate goal is to be able to deliver the intervention in a way that increases its potential reach, including to subpopulations of older adults at risk for everyday cognitive impairments.

Intentionality in adherence to long-term therapies. Results from an online survey of 3,001 patients with cardio-metabolic pathologies in France

PURPOSE

Some patients make a rational choice not to follow medical prescriptions; others fail to take their medications for reasons beyond their control, such as mere forgetfulness or a weak medication routine. The aim of this study was to elucidate the functioning of patient intentionality in medication adherence.

PATIENTS AND METHODS

This online study was conducted in metropolitan France in 2019. A cross-sectional survey of 50 questions was conducted with 3001 respondents diagnosed with diabetes, hypertension, and/or hypercholesterolemia identified from a panel of 54,000 people. These questions included a validated six-item questionnaire to detect nonadherence, two questions to detect intentional nonadherence by patients, and three questions on the effects of habit. Our questionnaire also included questions on the feelings of respondents regarding their doctor's attitude to their problems and needs, their trust in general practitioners (GP) and specialists, their sense of being involved in treatment decisions, and the influence of side effects and habits on patients' adherence. This study used the strategy of focusing on strictly adherent patients in the hope of finding ways to improve adherence. For this reason, we defined adherence as the absence of a positive response to the 6-item nonadherence screening questionnaire.

RESULTS

Of 3001 respondents, 1804 were diagnosed with hypertension, 1458 with hypercholesterolemia, and 774 with diabetes. Of the total number of patients, 72% were afflicted with one disease, 21% with two ailments, and 7% with three simultaneous illnesses. One-third (33%) of the patients did not tender a positive answer to the adherence questionnaire and were deemed adherent. 1) Thirty-two percent of the patients reported occasionally omitting their medication deliberately, and 84% said they had a reason for missing doses. These statements suggesting intentional nonadherence were negatively associated with adherence as identified via multivariate analysis (P = 0.0012 and P < 0.0001, for the first and second statement, respectively). 2) Univariate analyses revealed strong associations (P < 0.0001) between strict adherence on one hand and lack of intentional nonadherence, patient age, absence of drug side effects, taking drugs by habit, feeling involved in treatment decisions, getting information about treatment, and disease, and trust in doctors, on the other hand. 3) Specifically, univariate analysis of the absence of reported side effects revealed strong associations (P < 0.0001) with adequate information about medicines and diseases and trust in GP. These original data were consistent with the concept of the nocebo effect. 4) We observed a strong association between the absence of intentional nonadherence (statement of never deliberately missing medication) and respondent statements about generally sticking to the routine (P < 0.0001), ie, "I take my medication because I am used to taking it." This important result suggests that patients are strictly adherent in two ways: the absence of intentional nonadherence and reliance on habit, which we term as "unintentional adherence." 5) Finally, a multiple correspondence analysis illustrated all statistically significant relationships found in this study.

CONCLUSION

We present a new global model of adherence in which patient adherence was improved both by reducing intentional nonadherence and by promoting the abovementioned unintentional adherence by habit. This model highlights the role of shared decision-making and the trust felt by patients in their doctors. These results could exert a major impact on medical practice and education by demonstrating the importance of physicians' attitudes, involving the patient in decisions (shared decision-making), offering information about medicines and diseases (patient education), understanding the problems of patients, and taking their needs into account (empathy). The development of these attitudes should be an important aspect of the medical curricula.

Novel electronic adherence monitoring devices in children with asthma: a mixed-methods study

INTRODUCTION

Adherence monitoring to inhaled corticosteroids is an essential component of asthma management. Electronic monitoring devices (EMD) provide objective data on date, time and number of actuations. However, most give no information on inhalation. Novel EMD (NEMD) platforms have the potential to monitor both activation and inhalation.

AIM

To assess the feasibility of NEMDs, in terms of usability, acceptability to patients and healthcare professionals and accuracy.

METHODS

This was an open-label, prospective, mixed-methods, pragmatic randomised study. Children with asthma attending specialist tertiary care were randomised to one of four NEMD: Remote Directly Observed Therapy (R-DOT), Hailie Smartinhaler, INhaler Compliance Assessment device (INCA) and the Rafi-tone App. Following monitoring, participants were invited to focus groups or one-to-one interviews. Usability and acceptability were evaluated using themes identified from the focus groups and interviews. Adherence accuracy was determined using adherence data from each NEMD.

RESULTS

Thirty-five children were recruited; 18 (51%), (11 males, median age 13.5 (7-16) years) completed monitoring, 14 (78%) provided feedback. Participants identified various features such as ease of use and minimal effort as desirable criteria for an NEMD. The Hailie and INCA fulfilled these criteria and were able to record both actuation and inhalation. Negative themes included a 'Big Brother' effect and costs.

CONCLUSION

There was no 'one size fits all', as participants identified advantages and disadvantages for each NEMD. Devices that can easily calculate adherence to activation and inhalation have the potential to have greatest utility in clinical practice. Each NEMD has different functionality and therefore choice of platform should be determined by the needs of the patient and healthcare professional.

Feasibility study for supporting medication adherence for adults with cystic fibrosis: mixed-methods process evaluation

OBJECTIVES

To undertake a process evaluation of an adherence support intervention for people with cystic fibrosis (PWCF), to assess its feasibility and acceptability.

SETTING

Two UK cystic fibrosis (CF) units.

PARTICIPANTS

Fourteen adult PWCF; three professionals delivering adherence support ('interventionists'); five multi-disciplinary CF team members.

INTERVENTIONS

Nebuliser with data recording and transfer capability, linked to a software platform, and strategies to support adherence to nebulised treatments facilitated by interventionists over 5 months (± 1 month).

PRIMARY AND SECONDARY MEASURES

Feasibility and acceptability of the intervention, assessed through semistructured interviews, questionnaires, fidelity assessments and click analytics.

RESULTS

Interventionists were complimentary about the intervention and training. Key barriers to intervention feasibility and acceptability were identified. Interventionists had difficulty finding clinic space and time in normal working hours to conduct review visits. As a result, fewer than expected intervention visits were conducted and interviews indicated this may explain low adherence in some intervention arm participants. Adherence levels appeared to be >100% for some patients, due to inaccurate prescription data, particularly in patients with complex treatment regimens. Flatlines in adherence data at the start of the study were linked to device connectivity problems. Content and delivery quality fidelity were 100% and 60%-92%, respectively, indicating that interventionists needed to focus more on intervention 'active ingredients' during sessions.

CONCLUSIONS

The process evaluation led to 14 key changes to intervention procedures to overcome barriers to intervention success. With the identified changes, it is feasible and acceptable to support medication adherence with this intervention.

TRIAL REGISTRATION NUMBER

ISRCTN13076797; Results.

Time-of-Day Differences in Treatment-Related Habit Strength and Adherence

Background

Many of our daily behaviors are habitual, occurring automatically in response to learned contextual cues, and with minimal need for cognitive and self-regulatory resources. Behavioral habit strength predicts adherence to actions, including to medications. The time of day (morning vs. evening) may influence adherence and habit strength to the degree that stability of contexts/routines varies throughout the day.

Purpose

The current study evaluates whether patients are more adherent to morning versus evening doses of medication and if morning doses show evidence of greater habit strength than evening doses.

Methods

Objective adherence data (exact timing of pill dosing) were collected in an observational study by electronic monitoring pill bottles in a sample of patients on twice-daily pills for Type 2 diabetes (N = 51) over the course of 1 month.

Results

Data supported the hypothesis that patients would miss fewer morning than evening pills. However, counter to the hypothesis, variability in dose timing (an indicator of habit strength) was not significantly different for morning versus evening pills.

Conclusions

Findings suggest that medication adherence may be greater in the morning than in the evening. However, more research is needed to evaluate the role of habitual action in this greater adherence. Furthermore, future research should evaluate the validity of behavioral timing consistency as an indicator of habit strength.

Habit Strength, Medication Adherence, and Habit-Based Mobile Health Interventions Across Chronic Medical Conditions: Systematic Review

BACKGROUND

Unintentional medication nonadherence is common and has been associated with poor health outcomes and increased health care costs. Earlier research demonstrated a relationship between habit strength and medication adherence. Previous research also examined a habit's direct effect on adherence and how habit interacts with more conscious factors to influence or overrule them. However, the relationship between habit and adherence and the role of habit-based mobile health (mHealth) interventions remain unclear.

OBJECTIVE

This review aimed to systematically evaluate the most recent evidence for habit strength, medication adherence, and habit-based mHealth interventions across chronic medical conditions.

METHODS

A keyword search with combinations of the terms habit, habit strength, habit index, medication adherence, and medication compliance was conducted on the PubMed database. After duplicates were removed, two authors conducted independent abstract and full-text screening. The guidelines for the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) were followed when reporting evidence across the included and reviewed studies.

RESULTS

Of the 687 records examined, 11 met the predefined inclusion criteria and were finalized for data extraction, grading, and synthesis. Most included studies (6/11, 55%) were cross-sectional and used a theoretical model (8/11, 73%). The majority of studies measured habit strength using the self-report habit index and self-report behavioral automaticity index (9/11, 82%). Habit strength was positively correlated with medication adherence in most studies (10/11, 91%). Habit mediated the effects of self-efficacy on medication adherence (1/11, 9%), and social norms moderated the effects of habit strength on medication adherence (1/11, 9%). Habit strength also moderated the effects of poor mental health symptoms and medication adherence (1/11, 9%). None of the included studies reported on using or proposing a habit-based mHealth behavioral intervention to promote medication adherence.

CONCLUSIONS

Habit strength was strongly correlated with medication adherence, and stronger habit was associated with higher medication adherence rates, regardless of the theoretical model and/or guiding framework. Habit-based interventions should be used to increase medication adherence, and these interventions could leverage widely available mobile technology tools such as mobile apps or text messaging, and existing routines.

Patient factors associated with diabetes medication adherence at different health literacy levels: a cross-sectional study at a family medicine clinic

BACKGROUND

Type 2 diabetes (T2D) incurs tremendous health costs associated with various complications due to poor diabetes control. Medication adherence, which is correlated with patients' health literacy, should be consistently practiced achieving optimal diabetes control. A deeper understanding of the specific communication and psychosocial factors related to medication-taking behaviors across different levels of health literacy among people with T2D will guide the development of effective interventions and strategies to enhance medication adherence.

OBJECTIVES

This cross-sectional study aimed to identify salient patient factors associated with diabetes medication adherence across different levels of health literacy.

METHODS

A questionnaire was administered via a face-to-face approach with 205 participants at a family medicine clinic. Study participants were all above 20 years of age with T2D, were prescribed at least one oral diabetes medication, and understood English. The questionnaire assessed participants' health literacy, self-efficacy for medication use, beliefs in medicines, patient-provider communication, perceived barriers to medication adherence, and self-reported medication adherence. Separate analysis of covariance was used to compare the mean scores of patient factors related to medication adherence across people with different health literacy levels.

RESULTS

The mean age of participants was 61 years old, and the majority of the participants were female (57%), White (75%), and college educated (62%). Thirty-three percent of the participants had adequate health literacy, but only 43% of them reported high adherence to their diabetes medications. Analysis of covariance showed that having stronger self-efficacy (P < 0.001), lower concern beliefs about medication (P = 0.047), and fewer perceived barriers to medication-taking (P < 0.001), are necessary for better medication adherence.

CONCLUSION

Findings suggest that practitioners should address concern beliefs among low-adherent patients with low health literacy, help improve self-efficacy, and address perceived barriers to medication adherence among all low-adherent patients to optimally support patients' diabetes care.

Learning migraine self-management: the role of mothers and socioeconomic status

One in five U.S. women have migraine. Most do not seek migraine-specific treatment, relying heavily on social networks for knowledge. Self-management is fundamental, but little is known about how women learn to self-manage during and in-between headaches. We present findings here from an exploratory qualitative study. We interviewed 6 women on how and from whom they learned to self-manage migraine. Results indicate migraine self-management strategies reflect the migraine self-management behaviors observed in trusted migraineurs - who were predominantly mothers and grandmothers. Strategies and what was learned from trusted migrainuers varied between women with higher and lower socioeconomic status. How social learning affects current self-management among women with migraine needs additional research to guide providers in understanding, and optimizing, migraine self-management counseling with their patients.

Psychological correlates of adherence to photoprotection in a rare disease: International survey of people with Xeroderma Pigmentosum

OBJECTIVES

Xeroderma pigmentosum (XP) is an extremely rare genetic disorder (approximately 100 known cases in the United Kingdom), where DNA damage caused by ultraviolet radiation in daylight cannot be repaired. Adherence to photoprotection is essential to prevent skin cancer. We investigated psychological correlates of photoprotection in the XP population of Western Europe and the United States.

DESIGN

Cross-sectional survey of adults with XP and caregivers of patients <16 years and those with cognitive impairment in the United Kingdom, Germany, the United States, and France (n = 156).

METHODS

Photoprotection activities to protect the face and body when outdoors; avoidance of going outside during daylight hours; intention; self-efficacy; and social support were assessed using measures developed for this study. Participants answered questions about their illness representations of XP (BIPQ); beliefs about photoprotection (BMQ); automaticity (i.e., without conscious effort) (SRBAI); clinical and demographic characteristics. Ordinal logistic regressions determined factors associated with photoprotection.

RESULTS

One third did not achieve optimal face photoprotection. After controlling for demographic and clinical factors, modifiable correlates of higher photoprotection included greater perceived control of XP, stronger beliefs in necessity and effectiveness of photoprotection, and higher intention. Avoidance of going outside was associated with greater photoprotection concerns, more serious illness consequences, and higher XP-related distress. Greater automaticity and higher self-efficacy were associated with better protection across all outcomes.

CONCLUSIONS

Approximately half of all known cases across three European countries participated. Identified modifiable predictors of photoprotection may be targeted by interventions to reduce the incidence of skin cancers in the immediate future, when a treatment breakthrough is unlikely. Statement of contribution What is already known on this subject? Adherence to photoprotection in other populations at elevated risk from skin cancer is poor; however, the level in XP is unknown. Research across chronic conditions shows that adherence to treatment and lifestyle recommendations are influenced by illness perceptions, self-efficacy, and treatment beliefs. Studies on photoprotection conducted with the general population have found that perceived risk, perceptions of ultraviolet radiation (UVR) protection, self-efficacy for the behaviour, and automaticity (behaviours that are enacted with little conscious awareness) are related to better photoprotection. What does this study add? This is the first international survey to examine adherence and its correlates in people with XP (an under-researched group at very high risk of fatal skin cancer). Adherence varies and at least one third have potential for improvement. Perceptions about XP, photoprotection beliefs, self-efficacy, intention, and automaticity were associated with photoprotection of the face and body when outdoors. Negative emotional representations of XP were associated with avoidance of going outside during daylight hours.

Beliefs about medicines as mediators in medication adherence in type 2 diabetes

AIMS

This study analysed whether beliefs about medicines mediated the relationship between illness representations and medication adherence.

BACKGROUND

Adherence to medication is required in diabetes treatment, contributing to decreased blood glycaemic levels. The knowledge and perception of patients about diabetes as well as the beliefs about medicines are considered to be key factors for medication adherence.

DESIGN

The study used a cross-sectional design that included 387 patients recently diagnosed with type 2 diabetes.

METHODS

Participants were assessed, between 2010 and 2013, and answered the Medication Adherence Scale, the Beliefs about Medicines Questionnaire, and the Brief Illness Perception Questionnaire.

RESULTS

The results of the path analysis showed that beliefs about medicines had a mediating role on self-report medication adherence with the exception of beliefs about specific concerns with medicines. Therefore, both general beliefs and specific needs about medicines mediated the relationship between diabetes consequences and self-report medication adherence as well as between treatment control and self-report medication adherence. Needs about medicines mediated the relationship between personal control and self-report medication adherence.

CONCLUSION

Health professionals should target beliefs about medicines besides illness representations regarding medication adherence. The current study may help optimize adherence to medication in early-diagnosed type 2 diabetes patients.

A qualitative comparison of high and low adherers with apparent treatment-resistant hypertension

Poor adherence is a leading cause of apparent resistance to antihypertensive treatment. Recent empirical research has investigated predictors of adherence for primary care patients who are apparently resistant to treatment; however, questions remain regarding the variability in adherence behaviour among this group. This study aimed to investigate factors that may elucidate medication adherence among patients with apparent treatment-resistant hypertension (aTRH) using qualitative methods. Fourteen semi-structured interviews were conducted with patients undergoing treatment for aTRH in primary care in the West of Ireland. Patients who self-reported both high and low adherence in a previous quantitative study were purposively sampled. Data were analysed using thematic analysis. A public and patient involvement research group were active partners in developing the study protocol and interview topic guide. Three major themes were identified: beliefs about treatment, habits and routine, and health and health systems. High adherers reported favourable beliefs about antihypertensive treatment that had been validated by experience with taking the treatment over time, described strong medication-taking habits and stable routines, and positive relations with their GP. Low adherers expressed less coherence in their beliefs and used less effective strategies to support their medication-taking in daily life. The current findings are consistent with qualitative studies of adherence in other chronic conditions. Results reflect the difficulty for healthcare practitioners in identifying adherent versus non-adherent patients via conversation, and highlight the importance of accurate adherence assessment. Inception studies may provide an opportunity to better understand adherence behaviour across the illness trajectory.

Adherence to medication in adults with Cystic Fibrosis: An investigation using objective adherence data and the Theoretical Domains Framework

OBJECTIVES

Adherence to nebulizer treatment in adults with Cystic Fibrosis (CF) is poor, and interventions are needed. This research aimed to identify the factors affecting nebulizer adherence using the Theoretical Domains Framework (TDF) and to compare these for participants with different levels of adherence.

DESIGN

Data-prompted interviews using the TDF.

METHODS

Eighteen semi-structured interviews were conducted with adults with CF during which objectively measured adherence data were discussed. Framework analysis was used to code the data into TDF domains, and inductive qualitative content analysis was used to code different beliefs and experiences. Aspects of the TDF that differed between participants with different adherence levels were explored.

RESULTS

Factors influencing adherence to treatment included all 14 domains of the TDF, 10 of which appeared to vary by adherence level: Skills; Memory and decision-making; and Behavioural regulation; Environmental context and resources; Social influences; Beliefs about consequences; Beliefs about capability; Reinforcement; Social role and identify; Intentions; Optimism; and Emotions.

CONCLUSIONS

This study is the first to use objectively measured adherence data in a data-prompted interview using the TDF framework to systematically assess the full range of factors potentially influencing adherence. The results highlighted that interventions need to consider issues of capability, opportunity, and motivation. Interventions that challenge dysfunctional beliefs about adherence and which support the development of routines or habits and problem-solving may be particularly useful for adults with CF. Statement of contribution What is already known? Adherence to medication in adults with cystic fibrosis is poor. Previous research has identified a range of contributing factors in relation to subjective reports of adherence. There is a wide discrepancy between self-reported adherence and objectively measured adherence. What this study adds A data-prompted interview using objectively measured adherence data enabled the systematic assessment of potential factors that could be targeted in an intervention to increase adherence. There were some differences in the factors that were identified by high and low adherers. There is not one-size fits all intervention for adherence to medication in cystic fibrosis.

A pragmatic behavior-based habit index for adherence to nebulized treatments among adults with cystic fibrosis

BACKGROUND

Habit, a psychological process that automatically generates urges to perform a behavior in associated settings, is potentially an important determinant of medication adherence. Habit is challenging to measure because, as a psychological construct, it cannot be directly observed. We describe a method of using routinely available objective adherence data from electronic data capture (EDC) to generate a behavior-based index of adherence habit and demonstrate how this index can be applied.

METHODS TO GENERATE THE HABIT INDEX

Our proposed habit index is a "frequency in context" measure. It estimates habit as a multiplicative product of behavior frequency (generated from weekly percentage adherence) and context stability (inferred from time of nebulizer use). Although different timescales can be used, we chose to generate weekly habit scores since we believe that this is the most granular level at which context stability can be reasonably calculated.

AN APPLICATION OF THE HABIT INDEX

A hallmark of habit is to predict future behavior, hence we used time series method to cross-correlate the habit index with nebulizer adherence in the subsequent week among 123 adults with cystic fibrosis (52, 42.3% female; median age 25 years) over a median duration of 153 weeks (IQR 74-198 weeks). The mean cross-correlation coefficient (R) between the habit index and subsequent adherence was 0.40 (95% CI 0.36-0.44). Adjusting for current adherence, the unstandardized regression coefficient (B) for the habit index was 0.30 (95% CI -1.04 to 1.65).

CONCLUSION

We have described a pragmatic method to infer "habit" from adherence data routinely captured with EDC and provided proof-of-principle evidence regarding the feasibility of this concept. The continuous stream of data from EDC allows the habit index to unobtrusively assess "habit" at various time points over prolonged periods, and hence the habit index may be applicable in habit formation studies.

Successful adherence and retention to daily monitoring of physical activity: Lessons learned

Research utilizing repeated-measures such as daily assessments with self-report and/or objective measures [e.g., physical activity (PA) monitors] are important in understanding health behaviors and informing practice and policy. However, studies that utilize daily assessment often encounter issues with attrition and non-compliance. The current research yielded high levels of retention and adherence with both self-report and objective daily measures. The purpose of this paper is to highlight and discuss strategies utilized in maximizing retention, minimizing missing data, and some lessons learned from the research experience. Fifty community participants took part in a 4-week study utilizing both daily self-report questionnaires and daily use of PA monitors (Fitbit One^™). This study focused on typical daily PA and was not an intervention study (e.g., participants were not randomized nor asked to change their PA behavior). Participants completed the study in two waves (wave 1 n = 10, wave 2 n = 40). The research team utilized several retention strategies including automating the data collection process, a prorated incentive structure, having a dedicated and responsive study staff, and utilizing the 2-wave process to optimize data collection during the 2^nd wave. The study had 100% retention and generally positive anonymous feedback post-study. Overall, participants completed the vast majority of daily surveys (97%) and wore their Fitbits (for at least part of the day) on almost all days (99.57%) of the study, although there were individual differences. The strategies discussed and lessons learned may be useful to other researchers using daily measurements for whom adherence and retention are important issues. Future research employing these strategies in different populations, with different measurements, and for longer durations is warranted to determine generalizability.