Advancing the Science and Practice of Medication Adherence

Adherence and persistence to novel glucose-lowering medications in persons with type 2 diabetes mellitus undergoing routine care

AIMS

To assess adherence and persistence to sodium-glucose cotransporter-2 inhibitors (SGLT2i), glucagon-like peptide-1 receptor agonists (GLP1-RA), and dipeptidyl peptidase-4 inhibitors (DPP4i) in routine care.

METHODS

Using retrospective healthcare data from the Stockholm region, Sweden, we evaluated new-users of these agents during 2015-2020. We investigated adherence (≥80 % of days covered by an active supply), persistence (no treatment gap ≥ 60 days), and predictors for non-adherence and non-persistence.

RESULTS

We identified 24,470 new-users of SGLT2i (10,743), GLP1-RA (10,315), and/or DPP4i (9,488). Over 2.8 years median follow-up, the proportion demonstrating adherence was higher for SGLT2i (57 %) than DPP4i (53 %, comparison p < 0.001), and for GLP1-RA than DPP4i (54 % vs 53 %, p < 0.001). Similarly, persistence was higher for both SGLT2i and GLP-RA than DPP4i (respectively, 50 % vs 44 %, p < 0.001; 49 % vs 44 %, p < 0.001). Overall adherence was better among users who were older, had a history of high blood pressure, used more non-diabetic medications, had lower Hba1c, had better kidney function, and had completed secondary schooling or university. Women had worse adherence to SGLT2i and GLP1-RA than DPP4i.

CONCLUSIONS

We report adherence and persistence to SGLT2i, GLP1-RA and DPP4i in routine care, and identify prognostic factors that could inform implementation interventions to improve uptake of these important therapies.

Preliminary feasibility of a wrist-worn receiver to measure medication adherence via an ingestible radiofrequency sensor

Adherence to medications is a complex task that requires complex biobehavioral support. To better provide tools to assist with medication adherence, digital pills provide an option to directly measure medication taking behaviors. These systems comprise a gelatin capsule with radiofrequency emitter, a wearable Reader that collects the radio signal and a smartphone app that collects ingestion data displays it for patients and clinicians. These systems are feasible in measuring adherence in the real-world, even in stigmatized diseases like HIV treatment adherence. While the current iteration of the digital pill system utilizes a wearable Reader worn like a necklace, preliminary feedback demonstrated that a miniaturized system that was worn on the wrist could be more functional in the real-world. This paper therefore describes the development and preliminary field testing of a wrist-borne wearable Reader to facilitate acquisition of oral HIV pre-exposure prophylaxis (PrEP) adherence data among individual prescribed PrEP.

Spanish translation of the ABC taxonomy for medication adherence

BACKGROUND

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSION

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

Real-World Evidence of Aripiprazole Tablets with Sensor: Treatment Patterns and Impacts on Psychiatric Healthcare Resource Utilization

Purpose

Maintaining adherence to antipsychotic (AP) medication is often challenging. Aripiprazole tablets with sensor (AS) contain an ingestible event marker and communicate with wearable patches and a smartphone app to provide objective medication ingestion data. This study evaluated real-world treatment patterns of AS usage and its impact on psychiatric healthcare resource utilization (HCRU).

Patients and Methods

This retrospective, observational cohort study identified individuals who initiated AS between 1/1/2019 and 6/30/2020 with 3 months baseline and 6 months of follow-up data using a commercial medical and pharmacy claims database (Clarivate). Controls were propensity score-matched (4:1) to AS initiators based on age (±2 years), sex, diagnosis (major depressive disorder [MDD], schizophrenia, bipolar I disorder [BP-I], other), insurance, and baseline oral AP use (yes/no). Days of AP supply were evaluated using a general regression model. The frequency of psychiatric HCRU during follow-up was compared between groups using a zero-inflated regression model.

Results

Most AS initiators were diagnosed with MDD (61.2%) and were women (61.2%); mean age was 37.7 years (standard deviation: 14.1). Most AS initiators (53.1%) continued treatment for >60 days (mean days of supply = 77). After adjusting for covariates, AS initiators had 41% more days of AP supply during follow-up compared with controls (P <0.0001) and significantly lower adjusted odds ratios (ORs) for psychiatric outpatient visits (adjusted OR = 0.80; P <0.05), emergency department visits (adjusted OR = 0.11; P <0.05), inpatient visits (adjusted OR = 0.42; P <0.05), and other medical services (adjusted OR = 0.25; P <0.05).

Conclusion

Participants who implemented AS had significantly more days of AP supply and fewer psychiatric care visits. These preliminary results suggest AS usage can help build regular medication-taking habits and holds promise for reducing psychiatric HCRU. Additional studies with larger sample sizes are warranted to inform clinical practice and coverage decisions.

Adjuvant chemotherapy non-adherence, patient-centered communication, and patient-level factors in elderly breast and colon cancer patients

BACKGROUND

We examined patient-level factors (patient characteristics, disease and treatment factors, and patient experience), patient-centered communication (PCCM), and non-adherence to adjuvant chemotherapy (AC) guidelines among breast and colon cancer patients to inform AC adherence promotion and improve clinical outcomes.

METHODS

Descriptive statistics for patient-level factors, PCCM, and AC non-adherence (primary non-adherence, non-persistence at 3 and 6 months) were obtained. Multiple logistic regression models were used to estimate AC non-adherence after accounting for the identified patient-level factors.

RESULTS

The majority of the sample (n = 577) were White (87%), breast cancer patients (87%), and reported PCCM (provider communication score ≥ 90%, 73%, provider communication score = 100%, 58%). All three levels of AC nonadherence were significantly higher in breast cancer patients (69%, 81%, and 89% for primary non-adherence, and non-persistence at 3 and 6 months, respectively) than colon cancer patients (43%, 46%, and 62%, respectively). Male sex, survey assistance, and low/average ratings of a personal doctor, specialist, and healthcare were associated with lower PCCM. Older age, breast cancer diagnosis, and diagnosis group following 2007-2009 increased the likelihood of all three levels of AC non-adherence. Comorbidities and PCCM-90 were exclusively associated with non-persistence at 3 months.

CONCLUSIONS

Adjuvant chemotherapy non-adherence varied by cancer diagnosis and treatment factors. The relationship between PCCM and AC non-adherence differed by level of PCCM, time period, and the presence of comorbidities. AC guideline adherence, communication, and value-concordant treatment should be assessed and compared simultaneously to improve our understanding of their interrelationships.

Randomized prospective trial to detect and distinguish between medication nonadherence, drug-drug interactions, and disease progression in chronic cardiometabolic disease

BACKGROUND

Disentangling nonadherence (NA), drug-drug interactions (DDIs), and disease progression from each other is an important clinical challenge for providers caring for patients with cardiometabolic diseases. NAs and DDIs are both ubiquitous and often overlooked. We studied a novel chronic disease management (CDM) test to detect medication adherence and the presence and severity of DDIs.

MATERIALS AND METHODS

We conducted a prospective, randomized controlled trial of 236 primary care physicians using computer-based, simulated patients, measuring clinical care with and without access to the CDM test. The primary outcomes were whether use of the CDM test increased the accuracy of diagnoses and ordering better treatments and how effective the intervention materials were in getting participants to order the CDM test.

RESULTS

Physicians given the CDM test results showed a + 13.2% improvement in their diagnosis and treatment quality-of-care scores (p < 0.001) in the NA patient cases and a + 13.6% improvement in the DDI cases (p < 0.001). The difference-in-difference calculations between the intervention and control groups were + 10.4% for NA and + 10.8% for DDI (p < 0.01 for both). After controlling for physician and practice co-factors, intervention, compared to control, was 50.4x more likely to recognize medication NA and 3.3x more likely to correctly treat it. Intervention was 26.9x more likely to identify the DDI and 15.7x more likely to stop/switch the interacting medication compared to control. We found no significant improvements for the disease progression patient cases.

CONCLUSION

Distinguishing between nonadherence, drug-drug interactions, and disease progression is greatly improved using a reliable test, like the CDM test; improved diagnostic accuracy and treatment has the potential to improve patient quality of life, medication safety, clinical outcomes, and efficiency of health delivery.

TRIAL REGISTRATION

clinicaltrials.gov (NCT05192590).

Beyond Antiretroviral Treatment: Patterns and Factors Associated With Composite Medication Adherence Before and During the COVID-19 Pandemic in Patients With HIV With Multiple Chronic Conditions

BACKGROUND

Polypharmacy for multiple chronic conditions (MCCs) poses an increasing challenge in people with HIV (PWH). This research explores medication adherence in PWH with MCCs before and during COVID-19.

SETTING

Kaiser Permanente Mid-Atlantic States.

METHODS

Medical and pharmacy records of a continuously enrolled cohort (September 2018-September 2021) of adult PWH were used. To estimate medication adherence, monthly proportion of days covered (PDC) was measured individually for antiretrovirals (ARVs), diabetes medications (DMs), renin-angiotensin antagonists (RASMs), and statins (SMs) and combined into composite measures (CMs) with and without ARVs. Descriptive statistics, time-series models, and multivariable population-averaged panel general estimating equations were used to profile trends, effects, and factors associated with adherence.

RESULTS

The cohort (n = 543) was predominantly 51-64 years old (59.3%), Black (73.1%), male (69.2%), and commercially insured (65.4%). Two-thirds (63.7%) of patients were taking medications in 2 medication groups (ie, ARVs and either DMs, RASMs, or SMs), 28.9% were taking medications in 3 medication groups, and 7.4% were taking medications in all 4 medication groups. Overall, PDC for CMs without ARVs was 77.2% and 70.2% with ARVs. After March 2020, negative monthly trends in PDC were observed for CMs without ARVs (β = -0.1%, P = 0.003) and with ARVs (β = -0.3%, P = 0.001). For CMs with ARVs, Black race (aOR = 0.5; P < 0.001; ref: White) and taking medications for 3 medication groups (aOR = 0.8; P < 0.02; ref: 2) were associated with lower adherence.

CONCLUSION

Decreasing medication adherence trends were observed during the COVID-19 pandemic with variations among population subgroups. Opportunity exists to improve medication adherence for non-White populations and those taking medications for MCCs beyond ARVs.

Examining clinician choice to follow-up (or not) on automated notifications of medication non-adherence by clinical decision support systems

BACKGROUND

Maintaining medication adherence can be challenging for people living with mental ill-health. Clinical decision support systems (CDSS) based on automated detection of problematic patterns in Electronic Health Records (EHRs) have the potential to enable early intervention into non-adherence events ("flags") through suggesting evidence-based courses of action. However, extant literature shows multiple barriers-perceived lack of benefit in following up low-risk cases, veracity of data, human-centric design concerns, etc.-to clinician follow-up in real-world settings. This study examined patterns in clinician decision making behaviour related to follow-up of non-adherence prompts within a community mental health clinic.

METHODS

The prompts for follow-up, and the recording of clinician responses, were enabled by CDSS software (AI²). De-identified clinician notes recorded after reviewing a prompt were analysed using a thematic synthesis approach-starting with descriptions of clinician comments, then sorting into analytical themes related to design and, in parallel, a priori categories describing follow-up behaviours. Hypotheses derived from the literature about the follow-up categories' relationships with client and medication-subtype characteristics were tested.

RESULTS

The majority of clients were Not Followed-up (n = 260; 78%; Followed-up: n = 71; 22%). The analytical themes emerging from the decision notes suggested contextual factors-the clients' environment, their clinical relationships, and medical needs-mediated how clinicians interacted with the CDSS flags. Significant differences were found between medication subtypes and follow-up, with Anti-depressants less likely to be followed up than Anti-Psychotics and Anxiolytics (χ² = 35.196, 44.825; p < 0.001; v = 0.389, 0.499); and between the time taken to action Followed-up₀ and Not-followed up₁ flags (M₀ = 31.78; M₁ = 45.55; U = 12,119; p < 0.001; η² = .05).

CONCLUSION

These analyses encourage actively incorporating the input of consumers and carers, non-EHR data streams, and better incorporation of data from parallel health systems and other clinicians into CDSS designs to encourage follow-up.

Randomized Controlled Trial of Automated Directly Observed Therapy for Measurement and Support of PrEP Adherence Among Young Men Who have Sex with Men

Measurement of adherence to oral pre-exposure prophylaxis (PrEP) in real-time has been challenging. We developed DOT Diary, a smartphone application that combines automated directly observed therapy with a PrEP adherence visualization toolkit, and tested its ability to measure PrEP adherence and to increase adherence among a diverse cohort of young men who have sex with men (MSM). We enrolled 100 MSM in San Francisco and Atlanta and randomly assigned them 2:1 to DOT Diary versus standard of care. Concordance between DOT Diary measurement and drug levels in dried blood spots was substantial, with 91.0% and 85.3% concordance between DOT Diary and emtricitabine-triphosphate and tenofovir-diphosphate, respectively. There was no significant difference in the proportion of participants with detectable PrEP drug levels at 24 weeks between study arms. These results suggest DOT Diary is substantially better than self-reported measures of adherence, but additional interventions are needed to improve PrEP adherence over time.

Relationship between self-efficacy and adherence to self-management and medication among patients with chronic diseases in China: A multicentre cross-sectional study

PURPOSE

This study aimed to explore the effects of self-efficacy on adherence to self-management and medication among patients with chronic diseases in China.

METHODS

A cross-sectional survey of 2047 patients with chronic diseases in 120 cities across China was conducted between May and September 2021 using a multi-stage sampling method. Self-efficacy was measured using the New General Self-Efficacy Scale. The adherence to self-management was measured using the item response theory based self-management adherence scale, and the medication adherence was assessed using the Medication Adherence Scale for the Chronically Ill. The adherence to self-management and medication were evaluated by linear regression and logistic regression models, respectively.

RESULTS

After adjusting for all covariates, self-efficacy was significantly associated with adherence to self-management (β =0.207, 95% CI =0.064-0.350, P = 0.005), but not with medication adherence (for[middle/low]: OR = 1.119, 95% CI =0.828-1.511, P = 0.47; for[high/low]: OR = 1.281, 95% CI =0.935-1.754, P = 0.12). In subgroup analysis, self-efficacy positively correlated with adherence to self-management in patients with multiple chronic diseases (β =0.286, 95% CI =0.037-0.535, P = 0.03), but not in those with only one chronic disease (P = 0.12). Self-efficacy was not significantly associated with medication adherence in any of the subgroups.

CONCLUSION

Self-efficacy was positively associated with adherence to self-management in patients with chronic diseases, but not with medication adherence. Enhanced health education in patients with one chronic disease alone may have an association with better adherence to self-management and medication in daily life.

Digital health technologies to support medication adherence in chronic kidney disease

Non-adherence to medications is a critical challenge in the management of people with chronic kidney disease (CKD). This review explores the complexities of adherence in this population, the unique barriers and enablers of good adherence behaviours, and the role of emerging digital health technologies in bridging the gap between evidence-based treatment plans and the real-world standard of care. We present the current evidence supporting the use of digital health interventions among CKD populations, identifying the key research questions that remain unanswered, and providing practical strategies for clinicians to support medication adherence in a digital age.

The role of home medication storage location in increasing medication adherence for middle-aged and older adults

Background

Over 50% of US adults do not take their prescriptions as prescribed, which is responsible for 33%–69% of hospital admissions and 125,000 deaths annually. Given the higher prevalence of prescription drug use among middle-aged and older adult populations, promoting medication adherence is of particular importance with these age groups. Two speculated facilitators of medication adherence are home medication storage location and the use of digital health devices.

Objective

Our objective was to use survey data to investigate the associations between medication storage location and medication adherence among adults 40 years and older. Additionally, we aimed to report preliminary findings about the associations between use of devices and medication adherence in this same population.

Methods

We conducted primary analysis of data sampled from a home medication management survey deployed in November 2021 (n = 580). We conducted exploratory analyses by way of chi² tests and creation of bivariate logistic regression models.

Results

The most commonly used storage locations by our sample were nightstand drawers (27%), kitchen cabinets (25%), and atop bedroom nightstands (23%). Several medication storage locations were significantly associated with decreased odds of having ever forgotten to take a medication, including kitchen drawers, in refrigerators, atop bedroom nightstands, in nightstand drawers, and backpacks, purses, or bags. Two home medication storage locations were significantly associated with increased odds of having ever forgotten to take a medication: kitchen cabinets and bathroom vanities. Further, most (94%) survey respondents indicated they would be receptive to guidance about where to store their medications.

Conclusions

Given that some home medication storage locations are associated with adherence, an intervention to guide storage location selection may support increased adherence, especially with high receptivity expressed for such guidance. Increased adherence may also accrue from device usage paired with optimized home medication storage location. We plan to investigate that further, as well as how new device designs can incorporate contextual cues related to location to promote medication adherence more effectively in middle aged and older adults.

Formative acceptance of ingestible biosensors to measure adherence to TB medications

Background

Tuberculosis (TB) represents a significant public health threat in India. Adherence to antitubercular therapy (ATT) is the key to reducing the burden of this infectious disease. Suboptimal adherence to ATT and lack of demonstrated feasibility of current strategies for monitoring ATT adherence highlights the need for alternative adherence monitoring systems.

Methods

A quantitative survey was conducted to assess the acceptance of and willingness to use a digital pill system (DPS) as a tool for monitoring ATT adherence among stakeholders directly involved in the management of patients with TB in India. Participants reviewed a video explaining the DPS and completed a survey, which covered sociodemographics, degree of involvement with TB patients, initial impressions of the DPS, and perceived challenges for deploying the technology in India. Participants were also asked to interpret mock DPS adherence data.

Results

The mean age was 34.3 (SD = 7.3), and participants (N = 50) were predominantly male (70%). The sample comprised internists (52%) and pulmonologists (30%), with a median of 4 years’ experience (IQR 3, 6) in the management of TB patients. No participants had previously used a DPS, but some reported prior awareness of the technology (22%). Most reported that they would recommend use of a DPS to patients on ATT (76%), and that they would use a DPS in both the intensive and continuation phases of TB management (64%). The majority viewed the DPS (82%) as a useful alternative to directly observed therapy-short course (DOTS), particularly given the ongoing COVID-19 pandemic. Participants reported that a DPS would be most effective in patients at risk of nonadherence (64%), as well as those with past nonadherence (64%). Perceived barriers to DPS implementation included lack of patient willingness (92%), cost (86%), and infrastructure constraints (66%). The majority of participants were able to accurately interpret patterns of adherence (80%), suboptimal adherence (90%), and frank nonadherence (82%) when provided with mock DPS data.

Conclusions

DPS are viewed as an acceptable, feasible, and useful technology for monitoring ATT adherence by stakeholders directly involved in TB management. Future investigations should explore patient acceptance of DPS and pilot demonstration of the system in the TB context.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12879-022-07756-x.

Detecting Medication-Taking Gestures Using Machine Learning and Accelerometer Data Collected Via Smartwatch Technology: A Feasibility Study (Preprint)

BACKGROUND

Medication adherence is a global public health challenge, as only approximately 50% of people adhere to their medication regimens. Medication reminders have shown promising results in terms of promoting medication adherence. However, practical mechanisms to determine whether a medication has been taken or not, once people are reminded, remain elusive. Emerging smartwatch technology may more objectively, unobtrusively, and automatically detect medication taking than currently available methods.

OBJECTIVE

This study aimed to examine the feasibility of detecting natural medication-taking gestures using smartwatches.

METHODS

A convenience sample (N=28) was recruited using the snowball sampling method. During data collection, each participant recorded at least 5 protocol-guided (scripted) medication-taking events and at least 10 natural instances of medication-taking events per day for 5 days. Using a smartwatch, the accelerometer data were recorded for each session at a sampling rate of 25 Hz. The raw recordings were scrutinized by a team member to validate the accuracy of the self-reports. The validated data were used to train an artificial neural network (ANN) to detect a medication-taking event. The training and testing data included previously recorded accelerometer data from smoking, eating, and jogging activities in addition to the medication-taking data recorded in this study. The accuracy of the model to identify medication taking was evaluated by comparing the ANN's output with the actual output.

RESULTS

Most (n=20, 71%) of the 28 study participants were college students and aged 20 to 56 years. Most individuals were Asian (n=12, 43%) or White (n=12, 43%), single (n=24, 86%), and right-hand dominant (n=23, 82%). In total, 2800 medication-taking gestures (n=1400, 50% natural plus n=1400, 50% scripted gestures) were used to train the network. During the testing session, 560 natural medication-taking events that were not previously presented to the ANN were used to assess the network. The accuracy, precision, and recall were calculated to confirm the performance of the network. The trained ANN exhibited an average true-positive and true-negative performance of 96.5% and 94.5%, respectively. The network exhibited <5% error in the incorrect classification of medication-taking gestures.

CONCLUSIONS

Smartwatch technology may provide an accurate, nonintrusive means of monitoring complex human behaviors such as natural medication-taking gestures. Future research is warranted to evaluate the efficacy of using modern sensing devices and machine learning algorithms to monitor medication-taking behavior and improve medication adherence.

Recent Stressful Life Events, Lifetime Traumatic Events, Missed Visits, and Antiretroviral Adherence Among Black Women With HIV in the Southeastern United States: A Cross-sectional Study

ABSTRACT

Lifetime traumatic events are prevalent among people with HIV and consistently associated with deleterious HIV outcomes. Yet, little is known about the impact of recent stressful events on health outcomes among Black women with HIV (WWH). This cross-sectional study assessed the prevalence of recent stressful events and lifetime traumatic events and their association with HIV outcomes in Black WWH (n = 200) in the Southeastern United States. We evaluated the association between stressful events and HIV outcomes using chi-square tests and unadjusted and adjusted logistic regression analyses. In the unadjusted analyses, missed visits were associated with higher odds of recent stressful events (odds ratio [OR] 1.10, 95% confidence interval [CI] 1.04-1.16) and lifetime traumatic events (OR 1.15, 95% CI 1.05-1.26). In the adjusted analysis, exposure to recent stressful events was independently associated with missed visits (adjusted OR 1.08, 95% CI 1.01-1.15). Interventions addressing recent stressful events are warranted.

"I'd feel like someone was watchin' me… watching for a good reason": perceptions of data privacy, access, and sharing in the context of real-time PrEP adherence monitoring among HIV-negative MSM with substance use

Once-daily oral tenofovir/emtricitabine is highly effective as pre-exposure prophylaxis (PrEP) against HIV but is dependent on adherence, which may be challenging for men who have sex with men (MSM) and use substances. Digital pill systems (DPS) permit the direct, real-time measurement of adherence, though user perceptions of data privacy in this context are unknown. Thirty prospective DPS users - HIV-negative MSM with non-alcohol substance use - completed in-depth qualitative interviews exploring preferences around privacy, access, and sharing of DPS adherence data. Participants discussed some concerns about the impact of DPS use on personal privacy, and emphasized the need for robust data protections in the technology. Participants were interested in having on-demand access to their adherence data, and were most willing to share data with primary care providers and long-term relationship partners. Future investigations exploring bioethical frameworks around DPS use are warranted, and user preferences should inform best practices for protecting DPS data.

ADHERENCE AND BARRIERS TO DRUG THERAPY: RELATIONSHIP WITH THE RISK OF FALLS IN OLDER ADULTS

ABSTRACT Objective: to verify the association of adherence and barriers to drug therapy with the risk of falls and the sociodemographic, clinical and economic variables. Method: a cross-sectional study, carried out with 117 aged individuals in a Medical Clinic of Specialties for Older Adults in the Southeast region of the city of São Paulo (SP), from March to November 2019. The following scales were applied: Downton Fall Risk, Morisky-Green Test and Brief Medication Questionnaire. Logistic regression was use to verify the association between adherence to the treatment and types of barriers to adherence and the risk of falls. A 5% significance level was used. Results: the older adults with low adherence to the drug treatment presented 5.57 times more chances of having a high risk of falling when compared to those with greater adherence, and those with a barrier in the recall domain had 22.75 times more chances of having a high risk of falling, in relation to the aged individuals without barriers in the recall domain. Conclusion: low and average adherence to drug therapy and the barrier related to the recall domain were associated with high risk of falls in the older adults.

A qualitative analysis of nicotine replacement therapy uptake, consistent use, and persistence among primary care patients who smoke

•Adherence can be broken into three processes: uptake, consistent use, and persistence.•Barriers and facilitators to NRT use vary over the three adherence processes.•Information gaps and negative stories about NRT are common barriers to adherence.•NRT adherence may be improved by addressing patient knowledge and concerns.

Content Validity of a Questionnaire Based on the Theory of Planned Behavior to Assess the Psychosocial Determinants of Insulin Adherence

OBJECTIVES

To verify the content validity of questions of an insulin adherence questionnaire based on the Theory Planned Behavior in outpatients with type 2 diabetes mellitus.

METHODS

The instrument was derived from a tool created to evaluate psychosocial determinants of adherence to oral antidiabetics medications in the Brazilian context, and was submitted for evaluation by a committee of experts and members of the target population. The item-level content validity index, the scale-level content validity index averaging calculation method, and the modified kappa coefficient were used to evaluate agreement among specialists. The comprehensibility of the instrument by members of the target population was qualitatively analyzed.

RESULTS

The item-level content validity index was found to be lower than desired in 6 of the 20 items analyzed. Of these, one item was modified and 5 were excluded after the comprehensibility evaluation by members of the target population; one item from the perceived control scale was excluded. Content validation resulted in an instrument with 14 items, distributed in the domains intention (4 items), attitude (3 items), perceived norm (4 items), and perceived control (4 items) scales.

CONCLUSIONS

The findings support good evidence of the content validity of the instrument for use among people with type 2 diabetes mellitus receiving insulin therapy.

Clinical Value of Emerging Bioanalytical Methods for Drug Measurements: A Scoping Review of Their Applicability for Medication Adherence and Therapeutic Drug Monitoring

INTRODUCTION

Direct quantification of drug concentrations allows for medication adherence monitoring (MAM) and therapeutic drug monitoring (TDM). Multiple less invasive methods have been developed in recent years: dried blood spots (DBS), saliva, and hair analyses.

AIM

To provide an overview of emerging drug quantification methods for MAM and TDM, focusing on the clinical validation of methods in patients prescribed chronic drug therapies.

METHODS

A scoping review was performed using a systematic search in three electronic databases covering the period 2000-2020. Screening and inclusion were performed by two independent reviewers in Rayyan. Data from the articles were aggregated in a REDCap database. The main outcome was clinical validity of methods based on study sample size, means of cross-validation, and method description. Outcomes were reported by matrix, therapeutic area and application (MAM and/or TDM).

RESULTS

A total of 4590 studies were identified and 175 articles were finally included; 57 on DBS, 66 on saliva and 55 on hair analyses. Most reports were in the fields of neurological diseases (37%), infectious diseases (31%), and transplantation (14%). An overview of clinical validation was generated of all measured drugs. A total of 62 drugs assays were applied for MAM and 131 for TDM.

CONCLUSION

MAM and TDM are increasingly possible without traditional invasive blood sampling: the strengths and limitations of DBS, saliva, and hair differ, but all have potential for valid and more convenient drug monitoring. To strengthen the quality and comparability of future evidence, standardisation of the clinical validation of the methods is recommended.

Artificial Intelligence Solutions to Increase Medication Adherence in Patients With Non-communicable Diseases

Artificial intelligence (AI) tools are increasingly being used within healthcare for various purposes, including helping patients to adhere to drug regimens. The aim of this narrative review was to describe: (1) studies on AI tools that can be used to measure and increase medication adherence in patients with non-communicable diseases (NCDs); (2) the benefits of using AI for these purposes; (3) challenges of the use of AI in healthcare; and (4) priorities for future research. We discuss the current AI technologies, including mobile phone applications, reminder systems, tools for patient empowerment, instruments that can be used in integrated care, and machine learning. The use of AI may be key to understanding the complex interplay of factors that underly medication non-adherence in NCD patients. AI-assisted interventions aiming to improve communication between patients and physicians, monitor drug consumption, empower patients, and ultimately, increase adherence levels may lead to better clinical outcomes and increase the quality of life of NCD patients. However, the use of AI in healthcare is challenged by numerous factors; the characteristics of users can impact the effectiveness of an AI tool, which may lead to further inequalities in healthcare, and there may be concerns that it could depersonalize medicine. The success and widespread use of AI technologies will depend on data storage capacity, processing power, and other infrastructure capacities within healthcare systems. Research is needed to evaluate the effectiveness of AI solutions in different patient groups and establish the barriers to widespread adoption, especially in light of the COVID-19 pandemic, which has led to a rapid increase in the use and development of digital health technologies.

A Systematic Review of Nurse-Led Antiretroviral Medication Adherence Intervention Trials: How Nurses Have Advanced the Science

ABSTRACT

Antiretroviral therapy (ART) is essential to achieving viral suppression and improving health and clinical outcomes in persons living with HIV. Despite the effectiveness of ART and many promising evidence-based ART adherence interventions, viral suppression rates continue to be less than optimal. Nurses play pivotal roles in HIV care management, yet their role in the development and delivery of evidence-based adherence interventions has received little attention. Therefore, this review examined the contributions of nurses to ART adherence research and delivery. We found that nurse-led and nurse-facilitated interventions can be effective in fostering ART adherence in persons living with HIV. Considering the role nurses play in HIV care management and the effectiveness of interventions involving nurses, more nurse-led and nurse-facilitated interventions to address ART adherence are indicated. However, there is a need for further research to examine multilevel interventions and comparative cost and effectiveness of nurse-delivered ART interventions with other forms of delivery.

Sociodemographic Determinants of Nonadherence to Depression and Anxiety Medication among Individuals Experiencing Homelessness

Psychiatric medication nonadherence continues to be a leading cause of poor health outcomes for individuals experiencing homelessness. Identifying the sociodemographic factors that contribute to medication nonadherence may help guide strategies to care for and support this group. This study examined 200 adults with depression diagnoses and active anti-depressant prescriptions (Mage = 43.98 ± 12.08, 59.4% Caucasian, 58.5% male, 70% uninsured, 89.5% unemployed) and 181 adults with anxiety diagnoses and active anti-anxiety prescriptions (Mage = 43.45 ± 11.02, 54.4% Caucasian, 57.5% male, 66.3% uninsured, 88.9% unemployed) recruited from six homeless-serving agencies in Oklahoma City. Self-reported sociodemographic variables included: age, sex, race/ethnicity, education, monthly income, employment status, and health insurance status. Adjusted logistic regression analyses revealed that employed (OR = 4.022, CI_0.95: 1.244–13.004) and insured (OR = 2.923, CI_0.95: 1.225–6.973) participants had greater odds of depression medication nonadherence. For anxiety, being employed (OR = 3.573, CI_0.95: 1.160–11.010) was associated with greater odds of anxiety medication nonadherence, whereas having depression and anxiety diagnostic comorbidity (OR = 0.333, CI_0.95: 0.137–0.810) was associated with lower odds of anxiety medication nonadherence. Interventions aimed at facilitating accessible prescription acquisition or otherwise reducing barriers to prescription medications for employed adults, including those with health insurance, may benefit adherence, but more research is needed. Future studies would benefit from using a qualitative approach to better delineate nuanced barriers to psychiatric medication adherence.

Treatment Adherence in Integrative Medicine-Part One: Review of Literature

Treatment adherence is a topic that is well studied but not well understood. Low treatment adherence is a significant issue that limits the effective management and treatment of chronic conditions, creating significant health care burden, costs, and poor patient outcomes. This report provides a review of the factors that facilitate or create barriers to treatment adherence, as well as strategies recommended to overcome adherence barriers. A total of 25 interviews were conducted with practitioners demonstrating both high (n = 16) and low (n = 9) treatment adherence rates. A total of 185 survey responses were received from high-treatment adherence rate practitioners (n = 21), low-treatment adherence rate practitioners (n = 83), and practitioners that were neither in the high- or low-treatment adherence rate range (n = 81). Practitioner prescribing behaviors and adherence statistics were determined and stratified by high-treatment adherence rate and low-treatment adherence rate practitioners. From the interviews, 78% of low-rate practitioners mentioned that establishing trust is a primary best practice for optimizing adherence, and for high-rate practitioners, 69% thought that facilitating trust was important to optimizing adherence. Both low- and high-adherence rate practitioners prioritized using a staged approach as a strategy to overcome barriers to adherence. From the total survey sample it was found that key strategies to improving adherence included the practice of booking follow-up appointments, using lab results to explain treatment plans, and using a staged approach for treatment plans. Our research sought to elicit strategies and skills that can help improve treatment adherence in integrative medicine and our findings have identified several common practices that can help to improve adherence. Research taking advantage of mobile devices and the internet for adherence has started to expand within the last 10 to 15 years. Technology has the potential to lead the development and establishment of a centralized database that acquires adherence information and provides solutions to its practitioners and patients. Further work to advance the field of integrative medicine through additional research and interventions that support treatment adherence would be valuable to the effective treatment and management of integrative medicine patients.

Persistence as a Robust Indicator of Medication Adherence-Related Quality and Performance

Medication adherence is a priority for health systems worldwide and is widely recognised as a key component of quality of care for disease management. Adherence-related indicators were rarely explicitly included in national health policy agendas. One barrier is the lack of standardised adherence terminology and of routine measures of adherence in clinical practice. This paper discusses the possibility of developing adherence-related performance indicators highlighting the value of measuring persistence as a robust indicator of quality of care. To standardise adherence and persistence-related terminology allowing for benchmarking of adherence strategies, the European Ascertaining Barriers for Compliance (ABC) project proposed a Taxonomy of Adherence in 2012 consisting of three components: initiation, implementation, discontinuation. Persistence, which immediately precedes discontinuation, is a key element of taxonomy, which could capture adherence chronology allowing the examination of patterns of medication-taking behaviour. Advances in eHealth and Information Communication Technology (ICT) could play a major role in providing necessary structures to develop persistence indicators. We propose measuring persistence as an informative and pragmatic measure of medication-taking behaviour. Our view is to develop quality and performance indicators of persistence, which requires investing in ICT solutions enabling healthcare providers to review complete information on patients’ medication-taking patterns, as well as clinical and health outcomes.

Improving medication adherence in hypertensive patients: A scoping review

In recent years, interest in medication adherence has greatly increased. Adherence has been particularly well studied in the context of arterial hypertension treatment. Numerous interventions have addressed this issue, however, the effort to improve adherence has been often frustrating and frequently disorganized. The aim of present study was to perform a scoping review of medication adherence interventions in hypertensive patients, so that a clear overview was achieved. Moreover, an evidence-based categorization of interventions was developed. The review was performed according to the PRISMA-ScR statement. MEDLINE and Web of Science were searched, and studies published from database inception until August 17, 2020 were included. A total of 2994 non-duplicate studies were retrieved. After screening and eligibility phases, a total of 45 articles were included. Studies were analyzed regarding their design, participant characteristics and management of adherence strategies employed. Furthermore, medication adherence and blood pressure outcomes, as well as adherence measuring tools were evaluated. Each study's intervention was then categorized using a novel evidence-based system of categorization, derived from the conceptual clustering framework used in machine learning. This work is an important step in pushing for better informed and more efficient future research efforts, both by providing an overview of the research field and by creating a new, evidence-based intervention categorization tool. It also provides valuable information to clinicians about medication adherence to antihypertensive therapy.

Capillary Microfluidics for Monitoring Medication Adherence

Medication adherence is a medical and societal issue worldwide, with approximately half of patients failing to adhere to prescribed treatments. The goal of this Minireview is to examine how recent work on microfluidics for point-of-care diagnostics may be used to enhance adherence to medication. It specifically focuses on capillary microfluidics since these devices are self-powered, easy to use, and well established for diagnostics and drug monitoring. Considering that an improvement in medication adherence can have a much larger effect than the development of new medical treatments, it is long overdue for the research communities working in chemistry, biology, pharmacology, and material sciences to consider developing technologies to enhance medication adherence. For these reasons, this Minireview is not meant to be exhaustive but rather to provide a quick starting point for researchers interested in joining this complex but intriguing and exciting field of research.

Digitally Enabled, Patient-Centric Clinical Trials: Shifting the Drug Development Paradigm

The rapidly advancing field of digital health technologies provides a great opportunity to radically transform the way clinical trials are conducted and to shift the clinical trial paradigm from a site-centric to a patient-centric model. Merck's (Kenilworth, NJ) digitally enabled clinical trial initiative is focused on introduction of digital technologies into the clinical trial paradigm to reduce patient burden, improve drug adherence, provide a means of more closely engaging with the patient, and enable higher quality, faster, and more frequent data collection. This paper will describe the following four key areas of focus from Merck's digitally enabled clinical trials initiative, along with corresponding enabling technologies: (i) use of technologies that can monitor and improve drug adherence (smart dosing), (ii) collection of pharmacokinetic (PK), pharmacodynamic (PD), and biomarker samples in an outpatient setting (patient-centric sampling), (iii) use of digital devices to collect and measure physiological and behavioral data (digital biomarkers), and (iv) use of data platforms that integrate digital data streams, visualize data in real-time, and provide a means of greater patient engagement during the trial (digital platform). Furthermore, this paper will discuss the synergistic power in implementation of these approaches jointly within a trial to enable better understanding of adherence, safety, efficacy, PK, PD, and corresponding exposure-response relationships of investigational therapies as well as reduced patient burden for clinical trial participation. Obstacle and challenges to adoption and full realization of the vision of patient-centric, digitally enabled trials will also be discussed.

Implications of COVID-19 Infection on Medication Adherence with Chronic Therapies in Italy: A Proposed Observational Investigation by the Fail-to-Refill Project

Poor medication adherence leads to worsening of clinical outcomes and increases healthcare costs, especially in the context of chronic conditions. The effects of new COVID-19 infection and the measures taken in response to the outbreak are further increasing the concerns about medication adherence. Patients with chronic diseases, many of whom are older adults, have been strongly recommended to stay at home and avoid social contacts even with family members, who often provide support for regular use of therapies. Moreover, the mobilization of health personnel to the frontline of the COVID-19 infection could limit access to healthcare services. Within the Health-DB project, the Fail-To-Refill monitoring system was designed to evaluate the lack of adherence to chronic therapies in Italian clinical practice settings. Considering the date and dose coverage of last prescription, all patients due to refill this prescription for a chronic therapy in the last month were identified, and it was verified if they had the refill. The proposed future analysis, based on the data linkage between the current administrative flows of the Italian Local Health Units involved, will be carried out on a monthly basis from the beginning of the infection, and the "post-Covid-19" results will be compared with "pre-COVID-19" results, calculated for the last three years for patients with chronic therapies. Preliminary data herein presented showed a trend of increased failed refill during the months of lockdown for lipid-lowering and biologic therapies. The pre-COVID-19 trend compared to that of post-COVID-19 in the next months will be useful to estimate the percentage of failure to refill truly related to COVID-19 and on the measures adopted. The identification of patients that do not refill their prescriptions allows healthcare professionals to put in place actions aimed to promptly correct the lack of adherence, thus reducing the associated negative outcomes.

Approaches to Objectively Measure Antiretroviral Medication Adherence and Drive Adherence Interventions

PURPOSE OF REVIEW

Traditional methods to assess antiretroviral adherence, such as self-report, pill counts, and pharmacy refill data, may be inaccurate in determining actual pill-taking to both antiretroviral therapy (ART) or pre-exposure prophylaxis (PrEP). HIV viral loads serve as surrogates of adherence on ART, but loss of virologic control may occur well after decreases in adherence and viral loads are not relevant to PrEP.

RECENT FINDINGS

Pharmacologic measures of adherence, electronic adherence monitors, and ingestible electronic pills all serve as more objective metrics of adherence, surpassing self-report in predicting outcomes. Pharmacologic metrics can identify either recent adherence or cumulative adherence. Recent dosing measures include antiretroviral levels in plasma or urine, as well as emtricitabine-triphosphate in dried blood spots (DBS) for those on tenofovir-emtricitabine-based therapy. A urine tenofovir test has recently been developed into a point-of-care test for bedside adherence monitoring. Cumulative adherence metrics assess adherence over weeks to months and include measurement of tenofovir-diphosphate in peripheral blood mononuclear cells or DBS, as well as ART levels in hair. Electronic adherence monitors and ingestible electronic pills can track pill bottle openings or medication ingestion, respectively. New and objective approaches in adherence monitoring can be used to detect nonadherence prior to loss of prevention efficacy or virologic control with PrEP or ART, respectively.

Impact of Perceived Cardiovascular Risk on Cardiovascular Disease Prevention Behaviors in People With and Without HIV Infection

BACKGROUND

People living with HIV (PLHIV) are at elevated risk of developing atherosclerotic cardiovascular disease (ASCVD). PLHIV do not engage in recommended levels of ASCVD prevention behaviors, perhaps due to a reduced perception of risk for ASCVD. We examined how HIV status influences knowledge, beliefs, and perception of risk for ASCVD and ASCVD prevention behaviors.

METHODS AND RESULTS

We conducted a mixed-methods study of 191 PLHIV and demographically similar HIV-uninfected adults. Participants completed self-reported surveys on CVD risk perceptions, adherence to CVD medication (aspirin, antihypertensives, and lipid-lowering medication) and 3 dietary intake interviews. All wore an accelerometer to measure physical activity. A subset of PLHIV (n = 38) also completed qualitative focus groups to further examine the influence of HIV on knowledge, perception of risk for ASCVD, and behavior.

PARTICIPANTS

They were approximately 54 (±10) years, mostly men (n = 111; 58%), and African American (n = 151, 83%) with an average 10-year risk of an ASCVD event of 10.4 (±8.2)%. PLHIV were less likely to engage in physical activity (44% vs 65%, P < 0.05), and HIV status was associated with 43 fewer minutes of physical activity per week (P = 0.004). Adherence to ASCVD medications was better among PLHIV (P < 0.001). Diet composition was similar between groups (P > 0.05). HIV status did not influence ASCVD risk perceptions (P > 0.05) and modestly influenced physical activity and smoking.

CONCLUSIONS

Although perceptions of ASCVD risk modestly influence some behaviors, additional barriers and insufficient cues to action result in suboptimal physical activity, dietary intake, and smoking rates. However, PLHIV have high adherence to ASCVD medications, which can be harnessed to reduce their high burden of ASCVD.

The positive affect, promoting Positive Engagement, and Adherence for Life (APPEAL) feasibility trial: Design and rationale

OBJECTIVE

To describe development of the Positive Affect, Promoting Positive Engagement, and Adherence for Life (APPEAL) program.

METHOD

APPEAL is intended to increase HIV medication adherence through promotion of positive affect, and was developed through an iterative process involving 6 focus groups (N = 34) that elicited feedback on intervention content, followed by an individually administered prepilot of the entire intervention (N = 7).

RESULTS

Participants provided feedback on important potential moderator variables, including depression, on mode of intervention administration, and on anticipated barriers and benefits to participation. Insights gained were used to finalize study procedures in preparation for a feasibility trial. For the feasibility trial, a total of 80 participants who, in the past 6 months have had at least one plasma HIV RNA >200 copies/mL, will be randomized to receive APPEAL or standard of care (N = 40 per group). Intervention group participants will receive 3 monthly, individually administered sessions, and all participants will have their medication adherence monitored and complete structured interviews at baseline and at 3 and 6 months.

CONCLUSION

The APPEAL program is innovative in that it focuses on promoting self-regulation of positive emotions, an understudied approach to promoting chronic disease self-management behaviors such as HIV medication adherence. Findings from the feasibility trial will gauge suitability of the APPEAL intervention and evaluation methods for subsequent testing in a confirmatory trial and will examine changes in positive affect, the primary mechanism of change targeted in the intervention. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Epidermal Enzymatic Biosensors for Sweat Vitamin C: Toward Personalized Nutrition

Recent advances in wearable sensor technologies offer new opportunities for improving dietary adherence. However, despite their tremendous promise, the potential of wearable chemical sensors for guiding personalized nutrition solutions has not been reported. Herein, we present an epidermal biosensor aimed at following the dynamics of sweat vitamin C after the intake of vitamin C pills and fruit juices. Such skin-worn noninvasive electrochemical detection of sweat vitamin C has been realized by immobilizing the enzyme ascorbate oxidase (AAOx) on flexible printable tattoo electrodes and monitoring changes in the vitamin C level through changes in the reduction current of the oxygen cosubstrate. The flexible vitamin C tattoo patch was fabricated on a polyurethane substrate and combined with a localized iontophoretic sweat stimulation system along with amperometric cathodic detection of the oxygen depletion during the enzymatic reaction. The enzyme biosensor offers a highly selective response compared to the common direct (nonenzymatic) voltammetric measurements, with no effect on electroactive interfering species such as uric acid or acetaminophen. Temporal vitamin C profiles in sweat are demonstrated using different subjects taking varying amounts of commercial vitamin C pills or vitamin C-rich beverages. The dynamic rise and fall of such vitamin C sweat levels is thus demonstrated with no interference from other sweat constituents. Differences in such dynamics among the individual subjects indicate the potential of the epidermal biosensor for personalized nutrition solutions. The flexible tattoo patch displayed mechanical resiliency to multiple stretching and bending deformations. In addition, the AAOx biosensor is shown to be useful as a disposable strip for the rapid in vitro detection of vitamin C in untreated raw saliva and tears following pill or juice intake. These results demonstrate the potential of wearable chemical sensors for noninvasive nutrition status assessments and tracking of nutrient uptake toward detecting and correcting nutritional deficiencies, assessing adherence to vitamin intake, and supporting dietary behavior change.

Does switching from multiple to single-tablet regimen containing the same antiretroviral drugs improve adherence? A group-based trajectory modeling analysis

Combination Antiretroviral Therapy (cART) in single-tablet regimens (STR) is a simplification strategy that can potentially improve medication adherence and clinical outcomes. We conducted a retrospective cohort study of 1206 patients using efavirenz, tenofovir and lamivudine in multiple-tablet regimen who switched to the STR containing the same active ingredients in a southeast metropolis in Brazil. We measured adherence using the proportion of days covered (PDC≥95%) and evaluated this outcome before and after the switch using paired non-parametric statistics. Additionally, we used group-based trajectory modeling to identify adherence patterns to cART for each period and evaluate the migration behavior of patients between the trajectory groups. We observed a 14% increase in the proportion of adherent patients after switching to STR and a 6.2% increase in the proportion of patients with CD4 count>500 cells/μl (p < 0.001), without changes in viral load outcomes. We identified four adherence trajectories in each period. Most patients (60%, n = 722) migrated towards a group with better adherence trajectory or remained in the trajectory group with the highest probability of adherence after the switch. Our findings suggest that the implementation of the STR had a positive impact on adherence and CD4 count. This may potentially improve virologic outcomes later on treatment.

Users' Perceptions of an in-Home Electronic Medication Dispensing System: A Qualitative Study

Background

Managing and taking multiple medications as prescribed can be a difficult task for older adults. In-home medication dispensing technologies could help enhance care. The objective of the study was to determine users’ perspectives on a medication dispensing system (MDS) in supporting medication adherence of individuals living at home with chronic conditions.

Methods

This analysis is a part of a randomized controlled trial on an MDS in a Western Canadian province. We interviewed participants who were recruited into the intervention group and started using an MDS. A maximum variation purposive sampling was used to select interview participants based on age, number of medications, and health conditions.

Results

Thirteen participants were interviewed; most participants were females (n=11) and the average age was 63.7 (SD=8.2) years with an average of 8.9 (SD=3.6) prescribed medications. The most common health conditions were hypertension, diabetes, arthritis, and anxiety and depression. Four main themes emerged from thematic analysis: MDS acceptability, MDS patient support, need for the MDS, and areas of technology improvement. Most of the participants found the MDS to be acceptable and convenient, although privacy and security was an issue for some older adults. Audio and visual reminders and pre-organized medication supported participants’ medication adherence and independence in daily routines. The perceived necessity of the MDS was split among participants with cost being one of the main concerns. Areas of technology improvement included the hard-to-open plastic medication packets and the sometimes inexact recording of medication adherence by the MDS if medications were dispensed on behalf of the patients.

Conclusion

The MDS is an acceptable tool for improving medication management and adherence in older adults. Increased medication adherence may lead to patient and system-level benefits.

Effectiveness of interventions targeting self-regulation to improve adherence to chronic disease medications: a meta-review of meta-analyses

Adherence to chronic disease medication regimens depends in part on successful self-regulation. However, the overall benefit of interventions targeting self-regulatory mechanisms is not well-understood. Accordingly, we conducted a meta-review of meta-analyses assessing the effect of interventions targeting self-regulation on medication adherence. For this meta-review, meta-analyses appearing between January 2006 and March 2019 were eligible if they included experimental trials that assessed the effect of an intervention targeting self-regulation on adherence to chronic disease medication. A systematic literature search of multiple databases for published and unpublished literature identified 16,001 abstracts. Twelve meta-analyses met eligibility criteria and had variable quality according to AMSTAR 2 item completion (M = 50%; range: 31-66%). Overall, meta-reviews showed small to medium effect sizes for interventions that targeted self-monitoring, provided personalised feedback on adherence, or involved complete self-management. Other interventions, such as goal setting, barrier identification and problem solving, and stress management showed little evidence of improving adherence. Only a limited number of self-regulation intervention components were able to be evaluated. Additional research is needed to advance the understanding of the efficacy of adherence interventions focussed on self-regulation by expanding the scope of self-regulation elements targeted (e.g., emotion regulation).

Statin Dosing Instructions, Medication Adherence, and Low-Density Lipoprotein Cholesterol: a Cohort Study of Incident Statin Users

BACKGROUND

Robust evidence is lacking on optimal timing of statin administration and its impact on patient outcomes.

OBJECTIVE

This study aims to evaluate among incident statin users the relationship between those prescribed evening vs. daily dosing instructions, medication adherence, and changes in low-density lipoprotein cholesterol (LDL-c).

DESIGN

This is an observational cohort study at Sutter Health, a community-based healthcare system, 2010-2016.

PARTICIPANTS

Patients were ≥ 35 years of age as of the first statin prescription (baseline), with 12 to 36 months of electronic health record activity before and after baseline. Incident use was defined as no statin prescription in 12 months prior to baseline.

MAIN MEASURES

Differences in medication adherence (proportion of days covered ≥ 0.80) over 12 months from baseline and mean change in LDL-c between 12 and 24 months from baseline were measured using regression modeling, adjusting for baseline demographics and clinical, prescriber, and statin characteristics.

KEY RESULTS

Among 31,252 patients with valid statin prescriptions between 2010 and 2016, 5099 eligible incident statin users (mean age, 63 years) were identified, of whom 53% were prescribed evening and 47% daily dosing instructions. No difference in likelihood of statin adherence over 12 months was observed for evening vs. daily dosing (adjusted odds ratio [OR] 0.90; 95% CI 0.75, 1.08). No differences were observed in mean change in LDL-c (adjusted mean difference 1.42 mg/dL; 95% CI - 1.02, 3.89) or likelihood of attaining LDL-c < 70 mg/dL (adjusted OR 0.83; 95% CI 0.67, 1.04) for evening vs. daily dosing over a mean of 19 months follow-up.

CONCLUSIONS

Among incident statin users from a real-world clinical setting, those with daily and evening dosing instructions had similar adherence rates and mean changes in LDL-c. Given potential clinical equipoise for evening and daily dosing, clinicians should consider patient-tailored statin dosing instructions to reduce potentially unnecessary regimen complexity.

Trajectories of adherence to mood stabilizers in patients with bipolar disorder

Background

Nonadherence with mood stabilizers is a major problem that negatively impacts the course of bipolar disorder. Medication adherence is a complex individual behavior, and adherence rates often change over time. This study asked if distinct classes of adherence trajectories with mood stabilizers over time could be found, and if so, which patient characteristics were associated with the classes.

Methods

This analysis was based on 12 weeks of daily self-reported data from 273 patients with bipolar 1 or II disorder using ChronoRecord computer software. All patients were taking at least one mood stabilizer. The latent class mixed model was used to detect trajectories of adherence based on 12 weekly calculated adherence datapoints per patient.

Results

Two distinct trajectory classes were found: an adherent class (210 patients; 77%) and a less adherent class (63 patients; 23%). The characteristics associated with the less adherent class were: more time not euthymic (p < 0.001) and female gender (p = 0.016). No other demographic associations were found.

Conclusion

In a sample of motivated patients who complete daily mood charting, about one quarter were in the less adherent class. Even patients who actively participate in their care, such as by daily mood charting, may be nonadherent. Demographic characteristics may not be useful in assessing individual adherence. Future research on longitudinal adherence patterns in bipolar disorder is needed.

Cultural Issues in Medication Adherence: Disparities and Directions

Adherence to medications is dependent upon a variety of factors, including individual characteristics of the patient, the patient's family and culture, interactions with healthcare providers, and the healthcare system itself. Because of its association with worse outcomes, poor medication adherence is considered a potential contributor to disparities in health outcomes observed for various conditions across racial and ethnic groups. While there are no simple answers, it is clear that patient, provider, cultural, historical, and healthcare system factors all play a role in patterns of medication use. Here, we provide an overview of the interface between culture and medication adherence for chronic conditions; discuss medication adherence in the context of observed health disparities; provide examples of cultural issues in medication adherence at the individual, family, and healthcare system/provider level; review potential interventions to address cultural issues in medication use; and provide recommendations for future work.

Cultural Issues in Medication Adherence: Disparities and Directions

Adherence to medications is dependent upon a variety of factors, including individual characteristics of the patient, the patient's family and culture, interactions with healthcare providers, and the healthcare system itself. Because of its association with worse outcomes, poor medication adherence is considered a potential contributor to disparities in health outcomes observed for various conditions across racial and ethnic groups. While there are no simple answers, it is clear that patient, provider, cultural, historical, and healthcare system factors all play a role in patterns of medication use. Here, we provide an overview of the interface between culture and medication adherence for chronic conditions; discuss medication adherence in the context of observed health disparities; provide examples of cultural issues in medication adherence at the individual, family, and healthcare system/provider level; review potential interventions to address cultural issues in medication use; and provide recommendations for future work.