Electronic medication packaging devices and medication adherence: a systematic review

Medication Management Strategies to Support Medication Adherence: Interview Study With Older Adults

BACKGROUND

Home medication management has been insufficiently studied, including the factors that impact the development and effectiveness of adherence strategies under both routine and anomalous circumstances. Older adults are a particularly important population to study due to the greater likelihood of taking medication in combination with the desire to "age in place."

OBJECTIVE

This interview study aims to understand how older adults develop medication management strategies, identify when and why such strategies succeed or fail, learn more about how older adults think about their medication, and explore interventions that increase medication adherence.

METHODS

This study used a qualitative, semistructured interview design to elicit older adults' experiences with home medication management. Overall, 22 participants aged ≥50 years taking 1 to 3 prescription medications were recruited and interviewed. Interview responses were recorded, and thematic, qualitative analysis was performed by reviewing recordings and identifying recurring patterns and themes. Responses were systematically coded, which not only facilitated the identification of these themes but also allowed us to quantify the prevalence of behaviors and perceptions, providing a robust understanding of medication management and medication adherence.

RESULTS

Participants reported developing home medication management strategies on their own, with none of the participants receiving guidance from health care providers and 59% (13/22) of the participants using trial and error. The strategies developed by study participants were all unique and generally encompassed prescription medication and vitamins or supplements, with no demarcation between what was prescribed or recommended by a physician and what they selected independently. Participants thought about their medications by their chemical name (10/22, 45%), by the appearance of the pill (8/22, 36%), by the medication's purpose (2/22, 9%), or by the medication's generic name (2/22, 9%). Pill cases (17/22, 77%) were more popular than prescription bottles (5/22, 23%) for storage of daily medication. Most participants (19/22, 86%) stored their pill cases or prescription bottles in visible locations in the home, and those using pill cases varied in their refill routines. Participants used ≥2 routines or objects as triggers to take their medication. Nonadherence was associated with a disruption to their routine. Finally, only 14% (3/22) of the participants used a time-based reminder or alarm, and none of the participants used a medication adherence device or app.

CONCLUSIONS

Participants in our study varied considerably in their home medication management strategies and developed unique routines to remember to take their medication as well as to refill their pill cases. To reduce trial and error in establishing a strategy, there are opportunities for physicians and pharmacists to provide adherence guidance to older adults. To minimize the impact of disruptions on adherence, there are opportunities to develop more durable strategies and to design aids to medication adherence that leverage established daily routines.

Innovative Approaches to Enhance and Measure Medication Adherence in Chronic Disease Management: A Review

Medication non-adherence is a problem that affects up to 50% of patients with chronic diseases. The result is a failure to achieve therapeutic goals and an increased burden on the healthcare system. It is, therefore, highly appropriate to develop models to assess patient adherence to prescribed therapy. To date, there are many methods for doing this. However, several tools have been developed that subjectively or objectively, directly or indirectly, assess the level of patient adherence. Electronic medication packaging devices are among the most rapidly evolving methods of measuring adherence. Other emerging technologies include the use of artificial intelligence algorithms and ingestible biosensors. The former is being used to create applications for mobile phones and laptops. The latter appears to be the least susceptible to the risk of overestimating adherence but remains very expensive. Here, we present recent developments in measuring patient adherence, and provide details of achievements in objective methods for assessing adherence, such as electronic monitoring devices, video-observed therapy, and ingestible biosensors. A dedicated section on using artificial intelligence and machine learning in adherence measurement and reviewing questionnaires and scales used in specific diseases is also included. Methods are discussed along with their advantages and potential limitations. This article aimed to review current measures and future initiatives to improve patient medication adherence.

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

INTRODUCTION

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

AREAS COVERED

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

EXPERT OPINION

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

Barriers and Unmet Educational Needs Regarding Implementation of Medication Adherence Management Across Europe: Insights from COST Action ENABLE

BACKGROUND

Medication adherence is essential for the achievement of therapeutic goals. Yet, the World Health Organization estimates that 50% of patients are nonadherent to medication and this has been associated with 125 billion euros and 200,000 deaths in Europe annually.

OBJECTIVE

This study aimed to unravel barriers and unmet training needs regarding medication adherence management across Europe.

DESIGN

A cross-sectional study was conducted through an online survey. The final survey contained 19 close-ended questions.

PARTICIPANTS

The survey content was informed by 140 global medication adherence experts from clinical, academic, governmental, and patient associations. The final survey targeted healthcare professionals (HCPs) across 39 European countries.

MAIN MEASURES

Our measures were barriers and unmet training needs for the management of medication adherence across Europe.

KEY RESULTS

In total, 2875 HCPs (pharmacists, 40%; physicians, 37%; nurses, 17%) from 37 countries participated. The largest barriers to adequate medication adherence management were lack of patient awareness (66%), lack of HCP time (44%), lack of electronic solutions (e.g., access to integrated databases and uniformity of data available) (42%), and lack of collaboration and communication between HCPs (41%). Almost all HCPs pointed out the need for educational training on medication adherence management.

CONCLUSIONS

These findings highlight the importance of addressing medication adherence barriers at different levels, from patient awareness to health system technology and to fostering collaboration between HCPs. To optimize patient and economic outcomes from prescribed medication, prerequisites include adequate HCP training as well as further development of digital solutions and shared health data infrastructures across Europe.

Establishing adherence-concentration-efficacy thresholds of TDF-FTC pre-exposure prophylaxis for HIV prevention in African women: a protocol for the Women TDF-FTC Benchmark Study

Background

Oral pre-exposure prophylaxis (PrEP) using co-formulated emtricitabine (FTC) and tenofovir disoproxil fumarate (TDF) is a potent HIV prevention method for men and women, with its efficacy highly dependent on adherence. A pivotal HIV efficacy study combined with a directly observed pharmacological study defined the thresholds for HIV protection in men who have sex with men (MSM), which are the keys to PrEP promotion and development of new PrEP agents. For African women at risk for HIV and belonging to a priority group considered due to disproportionately high incident HIV infections, the variable adherence in PrEP clinical trials and the limited pharmacologic data have resulted in a lack of clarity about the PrEP adherence required for HIV protection. We propose a study to quantify the adherence-concentration-efficacy thresholds of TDF/FTC PrEP among African cisgender women to inform decisions about optimal PrEP dosing and adherence for HIV protection.

Methods

We randomized 45 low-risk HIV-uninfected African women, aged 18-30 years old, to directly observe the TDF/FTC PrEP of two, four, or seven doses per week for 8 weeks. A complementary age-matched pregnant women cohort at high risk of HIV, who will receive seven doses per week, was recruited (N = 15) with the primary aim of establishing benchmark concentrations in dried blood spots and peripheral blood mononuclear cells. Plasma, whole blood (WB), urine, hair, vaginal fluid, and vaginal tissue (non-pregnant women only) were archived for future testing. Drug concentrations were measured using methods validated for each biological matrix. Pharmacokinetic models were fitted to drug concentrations to quantify concentration-adherence thresholds. To define the drug concentrations associated with HIV protection, we applied the newly defined thresholds from the primary pharmacologic trial to the subset of women randomized to TDF/FTC or TDF in the Partners PrEP Study with the drug concentration assessed in plasma and WB samples. Multiple imputation was used to construct a data set with drug concentrations at each visit when an HIV test was performed for the entire cohort, replicating the work for MSM.

Discussion

The proposed study generated the first African women-specific TDF-PrEP adherence-concentration-efficacy thresholds essential for guiding the accurate interpretation of TDF/FTC PrEP programs and clinical trials of novel HIV prevention products using TDF/FTC as an active control.

Clinical Trial Registration

ClinicalTrials.gov, identifier (NCT05057858).

Transplant recipient, care partner, and clinician perceptions of medication adherence monitoring technology: A mixed methods study

Medication nonadherence is a leading cause of graft loss. Adherence monitoring technologies-reminder texts, smart bottles, video-observed ingestion, and digestion-activated signaling pills-may support adherence. However, patient, care partner, and clinician perceptions of these tools are not well studied. We conducted qualitative individual semistructured interviews and focus groups among 97 participants at a single center: kidney and liver transplant recipients 2 weeks to 18 months posttransplant, their care partners, and transplant clinicians. We assessed adherence practices, reactions to monitoring technologies, and opportunities for care integration. One-size-fits-all approaches were deemed infeasible. Interviewees considered text messages the most acceptable approach; live video checks were the least acceptable and raised the most concerns for inconvenience and invasiveness. Digestion-activated signaling technology produced both excitement and apprehension. Patients and care partners generally aligned in perceptions of adherence monitoring integration into clinical care. Key themes were importance of routine, ease of use, leveraging technology for actionable medication changes, and aversion to surveillance. Transplant clinicians similarly considered text messages most acceptable and video checks least acceptable. Clinicians reported that early posttransplant use and real-time adherence tracking with patient feedback may facilitate successful implementation. The study provides initial insights that may inform future adherence technology implementation.

Effectiveness of a comprehensive package based on electronic medication monitors at improving treatment outcomes among tuberculosis patients in Tibet: a multicentre randomised controlled trial

BACKGROUND

WHO recommends that electronic medication monitors, a form of digital adherence technology, be used as a complement to directly observed treatment (DOT) for tuberculosis, as DOT is inconvenient and costly. However, existing evidence about the effectiveness of these monitors is inconclusive. Therefore, we evaluated the effectiveness of a comprehensive package based on electronic medication monitors among patients with tuberculosis in Tibet Autonomous Region (hereafter Tibet), China.

METHODS

This multicentre, randomised controlled trial recruited patients from six counties in Shigatse, Tibet. Eligible participants had drug-susceptible tuberculosis and were aged 15 years or older when starting standard tuberculosis treatment. Tuberculosis doctors recruited patients from the public tuberculosis dispensary in each county and the study statistician randomly assigned them to the intervention or control group based on the predetermined randomised allocation sequence. Intervention patients received an electronic medication monitor box. The box included audio medication-adherence reminders and recorded box-opening data, which were transmitted to a cloud-based server and were accessible to health-care providers to allow remote adherence monitoring. A linked smartphone app enabled text, audio, and video communication between patients and health-care providers. Patients were also provided with a free data plan. Patients selected a treatment supporter (often a family member) who was trained to support patients with using the electronic medication monitor and app. Patients in the control group received usual care plus a deactivated electronic medication monitor, which only recorded and transmitted box-opening data that was not made available to health-care providers. The control group also had no access to the app or trained treatment supporters. The primary outcome was a binary indicator of poor monthly adherence, defined as missing 20% or more of planned doses in the treatment month, measured using electronic medication monitor opening data, and verified by counting used medication blister packages during consultations. We recorded other secondary treatment outcomes based on national tuberculosis reporting data. We analysed the primary outcome based on the intention-to-treat population. This trial is registered at ISRCTN, 52132803.

FINDINGS

Between Nov 17, 2018, and April 5, 2021, 278 patients were enrolled into the study. 143 patients were randomly assigned to the intervention group and 135 patients to the control group. Follow-up ended when the final patient completed treatment on Oct 4, 2021. In the intervention group, 87 (10%) of the 854 treatment months showed poor adherence compared with 290 (37%) of the 795 months in the control group. The corresponding adjusted risk difference for the intervention versus control was -29·2 percentage points (95% CI -35·3 to -22·2; p<0·0001). Five of the six secondary treatment outcomes also showed clear improvements, including treatment success, which was found for 133 (94%) of the 142 individuals in the intervention arm and 98 (73%) of the 134 individuals in the control arm, with an adjusted risk difference of 21 percentage points (95% CI 12·4-29·4); p<0·0001.

INTERPRETATION

The interventions were effective at improving tuberculosis treatment adherence and outcomes, and the trial suggests that a comprehensive package involving electronic medication monitors might positively affect tuberculosis programmes in high-burden and low-resource settings.

FUNDING

TB REACH.

What is the quantity, quality and type of systematic review evidence available to inform the optimal prescribing of statins and antihypertensives? A systematic umbrella review and evidence and gap map

OBJECTIVES

We aimed to map the systematic review evidence available to inform the optimal prescribing of statins and antihypertensive medication.

DESIGN

Systematic umbrella review and evidence and gap map (EGM).

DATA SOURCES

Eight bibliographic databases (Cochrane Database of Systematic Reviews, CINAHL, EMBASE, Health Management Information Consortium, MEDLINE ALL, PsycINFO, Conference Proceedings Citation Index-Science and Science Citation Index) were searched from 2010 to 11 August 2020. Update searches conducted in MEDLINE ALL 2 August 2022. We searched relevant websites and conducted backwards citation chasing.

ELIGIBILITY CRITERIA FOR SELECTING STUDIES

We sought systematic reviews of quantitative or qualitative research where adults 16 years+ were currently receiving, or being considered for, a prescription of statin or antihypertensive medication. Eligibility criteria were applied to the title and abstract and full text of each article independently by two reviewers.

DATA EXTRACTION AND SYNTHESIS

Quality appraisal was completed by one reviewer and checked by a second. Review characteristics were tabulated and incorporated into an EGM based on a patient care pathway. Patients with lived experience provided feedback on our research questions and EGM.

RESULTS

Eighty reviews were included within the EGM. The highest quantity of evidence focused on evaluating interventions to promote patient adherence to antihypertensive medication. Key gaps included a lack of reviews synthesising evidence on experiences of specific interventions to promote patient adherence or improve prescribing practice. The evidence was predominantly of low quality, limiting confidence in the findings from individual reviews.

CONCLUSIONS

This EGM provides an interactive, accessible format for policy developers, service commissioners and clinicians to view the systematic review evidence available relevant to optimising the prescribing of statin and antihypertensive medication. To address the paucity of high-quality research, future reviews should be conducted and reported according to existing guidelines and address the evidence gaps identified above.

A Systematic Review and Classification of Factors Influencing Diabetic Foot Ulcer Treatment Adherence, in Accordance With the WHO Dimensions of Adherence to Long-Term Therapies

PURPOSE

Effective treatment of diabetic foot ulcers (DFUs) involves a multidisciplinary treatment plan to promote wound healing and prevent complications. Given the lack of consensus data on the factors affecting patient adherence, a systematic review was performed to identify and classify factors according to the WHO Dimensions of Adherence to Long-Term Therapies.

METHODS

Six hundred and forty-three articles from PubMed, Embase, and Scopus were reviewed. The inclusion criteria included qualitative and quantitative studies which discussed factors affecting patient adherence to DFU treatment, had study populations that comprised patients with either prior history of or existing DFU, and had either prior history of DFU treatment or were currently receiving treatment. Factors, and associated measures of adherence, were extracted and organized according to the WHO Dimensions of Adherence to Long-Term Therapies.

RESULTS

Seven quantitative and eight qualitative studies were included. Eleven patient-related factors, seven condition-related factors, three therapy-related factors, five socioeconomic factors, and five health system-related factors were investigated by the included studies. The largest proportion of factors studied was patient-related, such as patient insight on DFU treatment, patient motivation, and patient perception of DFU treatment. There was notable overlap in the range of discussed factors across various domains, in the socioeconomic (including social support, income, social and cultural acceptability of DFU therapy, cost) and therapy-related domains (including duration of treatment, offloading footwear, and reminder devices). Different studies found that specific factors, such as gender and patients having a low internal locus of control, had differing effects on adherence on different cohorts.

CONCLUSION

Current literature presents heterogeneous findings regarding factors affecting patient adherence. It would be useful for future studies to categorize factors as such to provide more comprehensive understanding and personalized care to patients. Further research can be done to explore how significant factors can be addressed universally across different cohort populations in different cultural and socioeconomic contexts.

Distilling lessons from home hospital implementation: a narrative scoping review

INTRODUCTION

Multiple Cochrane Reviews have demonstrated 'hospital at home' (HaH) as a promising healthcare model to be explored, with benefits such as higher care quality, reduced readmissions, shorter lengths of stay, lower cost and greater patient satisfaction. While there have been many reviews focusing on the quantitative clinical outcomes of HaH, there is generally a lack of collation of qualitative insights from stakeholders and lessons learnt from past HaH implementation.

METHODS

We performed a systematic literature search on four databases and included 17 papers involving the provision of acute and/or subacute care by healthcare professionals in patients' homes. Review characteristics and relevant outcomes were extracted from the reported findings and tables in the reviews, and these included stakeholder attitudes and factors contributing to the success of HaH implementation.

RESULTS

Factors relating to patients and caregivers included home setup, preference for care and death settings, and support for caregiver. Factors involving the healthcare professionals and intervention included a multidisciplinary care team, accessibility to emergency care and support, training of providers and patients, adequate manpower allocation, robust eligibility and referral criteria, sufficient awareness of the HaH referral pathway, communication and medication management.

CONCLUSION

HaH presents a promising alternative care model, and many of the success factors identified, including the strong push for multidisciplinary single care teams, existing frameworks for data sharing and strong community network, are already present today. As such, Singapore appears to be well positioned to adopt a new care model like HaH.

Leveraging behavioral modification technology for the prevention of kidney stones

PURPOSE OF REVIEW

The purpose of this review is to examine the use of technology to help promote and maintain behaviors that decrease stone recurrence.

RECENT FINDINGS

Behavior change is a complex process with various interacting components. Recent developments have sought to utilize technology in combination with behavioral change techniques to promote behavior that lowers stone recurrence risk. Smart water bottles are becoming a popular way to accurately measure fluid intake with variable impact on adherence to the recommended daily fluid intake. Mobile apps have also been explored as a method to improve fluid intake. Interventions that combine smart water bottles, mobile apps, and behavioral change techniques have shown the most promise in promoting increased daily fluid intake. Other technologies, such as smart pill dispensers and hydration monitors, have potential applications in promoting behavioral change for stone disease but have yet to be evaluated for this purpose.

SUMMARY

There is a limited number of studies exploring technology as a means to promote and maintain behaviors that decrease urinary stone recurrence. Future research is needed to elucidate how to maximize the potential of these technologies and better understand which behavioral change techniques best promote habit formation for the prevention of stones.

Key Features of Smart Medication Adherence Products: Updated Scoping Review

BACKGROUND

Older adults often face challenges in self-managing their medication owing to physical and cognitive limitations, complex medication regimens, and packaging of medications. Emerging smart medication dispensing and adherence products (SMAPs) offer the options of automated dispensing, tracking medication intake in real time, and reminders and notifications. A 2021 review identified 51 SMAPs owing to the rapid influx of digital technology; an update to this review is required.

OBJECTIVE

This review aims to identify new products and summarize and compare the key features of SMAPs.

METHODS

Gray and published literature and videos were searched using Google, YouTube, PubMed, Embase, and Scopus. The first 10 pages of Google and the first 100 results of YouTube were screened using 4 and 5 keyword searches, respectively. SMAPs were included if they were able to store and allowed for the dispensation of medications, tracked real-time medication intake data, and could automatically analyze data. Products were excluded if they were stand-alone software applications, not marketed in English, not for in-home use, or only used in clinical trials. In total, 5 researchers independently screened and extracted the data.

RESULTS

This review identified 114 SMAPs, including 80 (70.2%) marketed and 34 (29.8%) prototypes, grouped into 15 types. Among the marketed products, 68% (54/80) were available for consumer purchase. Of these products, 26% (14/54) were available worldwide and 78% (42/54) were available in North America. There was variability in the hardware, software, data collection and management features, and cost of the products. Examples of hardware features include battery life, medication storage capacity, availability of types and number of alarms, locking features, and additional technology required for use of the product, whereas software features included reminder and notification capabilities and availability of manufacturer support. Data capture methods included the availability of sensors to record the use of the product and data-syncing capabilities with cloud storage with short-range communications. Data were accessible to users via mobile apps or web-based portals. Some SMAPs provided data security assurance with secure log-ins (use of personal identification numbers or facial recognition), whereas other SMAPs provided data through registered email addresses. Although some SMAPs were available at set prices or free of cost to end users, the cost of other products varied based on availability, shipping fees, and subscription fees.

CONCLUSIONS

An expanding market for SMAPs with features specific to at-home patient use is emerging. Health care professionals can use these features to select and suggest products that meet their patients' unique requirements.

Barriers and facilitators of implementing electronic monitors to improve adherence and health outcomes in tuberculosis patients: protocol for a systematic review based on the Consolidated Framework for Implementation Research

BACKGROUND

Tuberculosis (TB) has been regarded as 'a relentless scourge', increasing morbidity and mortality and burdening vulnerable populations. Poor adherence to TB treatment and ineffective traditional interventions hinders TB control. A novel TB approach called 'electronic monitors', equipping medication boxes with daily audio or visual reminders for electronically monitoring medication intake, seems promising in improving adherence and health outcomes and overcoming the weaknesses of traditional interventions. However, no review has systematically examined and synthesized the influencing factors of implementing electronic monitors. Implementation research offers the means to analyse the influencing factors of the implementation and its process, fitting well with the aim of this review. Therefore, the widely recognized Consolidated Framework for Implementation Research (CFIR), which offers a common taxonomy for evaluating intervention implementation, will be adopted to systematically identify barriers and facilitators of the electronic monitors for improving adherence and health outcomes in patients with TB.

METHODS AND ANALYSIS

The systematic review will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Literature research will be conducted in five electronic databases (Ovid MEDLINE, CINAHL, EMBASE, Cochrane Library and Web of Science) to identify the barriers and facilitators of implementing electronic monitors in patients with TB. The CFIR will be used as a guide for categorizing and synthesizing the barriers and facilitators. Study screening, data extraction, quality appraisal and data analysis will be conducted by two independent reviewers. The use of additional reviewers will solve any disagreements between the two reviewers.

DISCUSSION

Given the increased prominence of TB epidemiology and the adherence problem of electronic monitors, there is a solid rationale for synthesizing the existing studies via the CFIR. The findings and conclusion of this review will lay bare the achievements and effectiveness of implementing electronic monitors, as well as the attendant gaps and limitations. Further strategies for facilitating the implementation of electronic monitors will also be explored. This review will be of essential significance for research and practice, supporting future academic research initiatives centred on patients with TB and aiding electronic monitor design in lowering the morbidity and mortality associated with TB disease.

TRIAL REGISTRATION NUMBER

PROSPERO: CRD42023395747.

Evaluation of the impact on hospitalization risk of an electronic pill-box to promote therapeutic adherence in post-acute care setting: a pilot study

Literature review reveals that adherence to prescribed therapy at hospital discharge averages around 50%. The purpose of this study was to evaluate adherence to prescribed therapy assessing the relationship between re-hospitalization rate at 30 days and degree of therapeutic adherence in a sample of elderly patients discharged from an acute geriatric ward using an Electronic Medication Packaging device, MePill. The study population (n = 56) was divided in 3 groups, a counseling group (A), a counseling + MePill device group (B) and a control group (C). Group A had 98.1% adherence to therapy, Group B had 100%, and control group had 90%. Analyzing the rate of hospitalization by type of intervention for Group A and C the hospitalization rate was 21% and 27.7%, respectively, whilst for Group B no patient was hospitalized. Participants in Group A and C had the shorter hospitalization-free survival as compared with subjects in Group B.

Leveraging Electronic Health Record Technology and Team Care to Address Medication Adherence: Protocol for a Cluster Randomized Controlled Trial

BACKGROUND

Low medication adherence is a common cause of high blood pressure but is often unrecognized in clinical practice. Electronic data linkages between electronic health records (EHRs) and pharmacies offer the opportunity to identify low medication adherence, which can be used for interventions at the point of care. We developed a multicomponent intervention that uses linked EHR and pharmacy data to automatically identify patients with elevated blood pressure and low medication adherence. The intervention then combines team-based care with EHR-based workflows to address medication nonadherence.

OBJECTIVE

This study aims to describe the design of the Leveraging EHR Technology and Team Care to Address Medication Adherence (TEAMLET) trial, which tests the effectiveness of a multicomponent intervention that leverages EHR-based data and team-based care on medication adherence among patients with hypertension.

METHODS

TEAMLET is a pragmatic, cluster randomized controlled trial in which 10 primary care practices will be randomized 1:1 to the multicomponent intervention or usual care. We will include all patients with hypertension and low medication adherence who are seen at enrolled practices. The primary outcome is medication adherence, as measured by the proportion of days covered, and the secondary outcome is clinic systolic blood pressure. We will also assess intervention implementation, including adoption, acceptability, fidelity, cost, and sustainability.

RESULTS

As of May 2023, we have randomized 10 primary care practices into the study, with 5 practices assigned to each arm of the trial. The enrollment for the study commenced on October 5, 2022, and the trial is currently ongoing. We anticipate patient recruitment to go through the fall of 2023 and the primary outcomes to be assessed in the fall of 2024.

CONCLUSIONS

The TEAMLET trial will evaluate the effectiveness of a multicomponent intervention that leverages EHR-based data and team-based care on medication adherence. If successful, the intervention could offer a scalable approach to address inadequate blood pressure control among millions of patients with hypertension.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05349422; https://clinicaltrials.gov/ct2/show/NCT05349422.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/47930.

Toward the Design of Sensing-Based Medication Adherence Aids That Support Individualized Activities of Daily Living: Survey and Interviews With Patients and Providers

BACKGROUND

Nearly half of Americans taking prescription medications do not take them properly. The resulting implications have a broad impact. Nonadhering patients develop worsened medical conditions and increased comorbidity of disease or die.

OBJECTIVE

Clinical studies have shown that the most effective strategies for addressing adherence are those that are individualized to the context that each patient and situation require. However, existing aids for adherence are relatively ridged and poorly support adaptation to individual behaviors and lifestyles. The aim of our study was to better understand this design tension.

METHODS

A series of 3 qualitative studies was conducted: a web-based survey of 200 Americans that investigated existing adherence strategies and behaviors and perception of how hypothetical in-home tracking technologies would assist adherence; in-person semistructured interviews with 20 medication takers from Pittsburgh, PA, that investigated personal adherence behaviors, which included demonstration of medication locations and routines as well as an assessment of hypothetical technologies; and semistructured interviews with 6 pharmacists and 3 family physicians to gain a provider perspective on patient adherence strategies, which included feedback on hypothetical technologies in the context of their patient populations. Inductive thematic coding of all interview data was performed. Studies were conducted consecutively, with the results informing the subsequent studies.

RESULTS

Synthesized, the studies identified key medication adherence behaviors amenable to technological interventions, distilled important home-sensing literacy considerations, and detailed critical privacy considerations. Specifically, 4 key insights were obtained: medication routines are heavily influenced and adapted by and through the physical location and placement of medications relative to activities of daily living, routines are chosen to be inconspicuous to maintain privacy, the value of provider-involved routines is motivated by a desire to build trust in shared decision-making, and the introduction of new technologies can create further burden on patients and providers.

CONCLUSIONS

There is considerable potential to improve individual medication adherence by creating behavior-focused interventions that leverage emerging artificial intelligence (AI), machine learning (ML), and in-home Internet of Things (IoT) sensing technologies. However, success will be dependent on the technology's ability to learn effectively and accurately from individual behaviors, needs, and routines and tailor interventions accordingly. Patient routines and attitudes toward adherence will likely affect the use of proactive (eg, AI-assistant routine modification) versus reactive (eg, notification of associated behaviors with missed dosages) intervention strategies. Successful technological interventions must support the detection and tracking of patient routines that can adjust to variations in patient location, schedule, independence, and habituation.

Exploring the Value of Real-Time Medication Adherence Monitoring: A Qualitative Study

Smart adherence products enable the monitoring of medication intake in real-time. However, the value of real-time medication intake monitoring to different stakeholders such as patients, their caregivers, clinicians, and insurers is not elucidated. The aim of this study was to explore the value different stakeholders place on the availability of smart adherence products and access to real-time medication intake data. A qualitative study design using semi-structured one-on-one virtual interviews was utilized. Schwartz's theory of values provided the foundation for the interview questions, data were analyzed using Braun and Clark's thematic analysis framework, and findings were mapped back to the constructs of Schwartz's theory of values. A total of 31 interviews with patients, caregivers, healthcare providers, and representatives of private or public insurance providers were conducted. Three themes and ten subthemes were identified. Themes included perceptions of integrating smart medication adherence technologies and real-time monitoring, technology adoption factors and data management. Stakeholders place different values based on the motivators and goals that can drive product use for daily medication management. Stakeholders valued the availability of real-time medication taking data that allow clinicians to make timely data-driven recommendations to their patients that may improve medication management for patients and reduce the caregiver burden.

Beta-blockers in patients with liver cirrhosis: Pragmatism or perfection?

With increasing decompensation, hyperdynamic circulatory disturbance occurs in liver cirrhosis despite activation of vasoconstrictors. Here, the concept of a therapy with non-selective beta-blockers was established decades ago. They lower elevated portal pressure, protect against variceal hemorrhage, and may also have pleiotropic immunomodulatory effects. Recently, the beneficial effect of carvedilol, which blocks alpha and beta receptors, has been highlighted. Carvedilol leads to "biased-signaling" via recruitment of beta-arrestin. This effect and its consequences have not been sufficiently investigated in patients with liver cirrhosis. Also, a number of questions remain open regarding the expression of beta-receptors and its intracellular signaling and the respective consequences in the intra- and extrahepatic tissue compartments. Despite the undisputed role of non-selective beta-blockers in the treatment of liver cirrhosis, we still can improve the knowledge as to when and how beta-blockers should be used in which patients.

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSION

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

PRACTICE IMPLICATIONS

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

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.

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

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

A mixed-methods study of the technical feasibility and patient acceptability of a real-time adherence monitor in breast cancer survivors taking adjuvant endocrine therapy

PURPOSE

Oral anti-cancer medications are increasingly common and endocrine therapies represent the most common oral anti-cancer medications in breast cancer. Adjuvant endocrine therapies reduce the likelihood of recurrence and mortality in the approximately 80% of women diagnosed with hormone-receptor-positive breast cancer, thus rendering adherence essential. Real-time medication adherence monitors, such as the Wisepill electronic pillbox, transmit adherence data remotely, allowing for early intervention for non-adherence. However, their feasibility and acceptability have yet to be examined among breast cancer survivors taking endocrine therapies.

METHODS

This study presents quantitative patient-report and technical support data and qualitative patient acceptability data on Wisepill, a common real-time adherence monitor, among 88 breast cancer survivors prescribed adjuvant endocrine therapy.

RESULTS

This mixed-methods study of a common real-time adherence monitor, among the first in breast cancer survivors taking adjuvant endocrine therapy, demonstrates its technical feasibility and patient acceptability.

CONCLUSION

The use of wireless medication monitors that transmit real-time adherence data is uniquely promising for maximizing the benefits of adjuvant endocrine therapy by allowing for continuous tracking, ongoing communication with oncologic or research teams, and early intervention. This study demonstrates the feasibility and patient acceptability of one such real-time adherence monitor.

Helping the Helpers - A research protocol for user-centered technology to aid caregiver management of medications for people with Alzheimer's disease and related dementias

BACKGROUND AND OBJECTIVE

Systematically supporting caregiver-assisted medication management through IT interventions is a critical area of need toward improving outcomes for people living with ADRD and their caregivers, but a significant gap exists in the evidence base from which IT interventions to support caregivers' medication tasks can be built. User-centered design can address the user needs evidence gap and provide a scientific mechanism for developing IT interventions that meet caregivers' needs. The present study employs the three phases of user-centered design to address the first two stages of the NIH Stage Model for Behavioral Intervention Development.

METHODS

We will conduct a three-phase study employing user-centered design techniques across three aims: Aim 1) assess the needs of ADRD caregivers who manage medications for people with ADRD (Stage 0); Aim 2) co-design a prototype IT intervention to support caregiver-assisted medication management collaboratively with ADRD caregivers (Stage IA); and Aim 3) feasibility test the prototype IT intervention with ADRD caregivers (Stage IB).

DISCUSSION

Our user-centered design protocol provides a template for integrating the three phases of user-centered design to address the first two stages of the NIH Stage Model that can be used broadly by researchers who are developing IT interventions for ADRD caregivers.

Tenofovir-Diphosphate in Dried Blood Spots versus Tenofovir in Urine/Plasma for Oral Preexposure Prophylaxis Adherence Monitoring

Background

Tenofovir-diphosphate (TFV-DP) measured in dried blood spots (DBS) and tenofovir (TFV) measured in urine/plasma have been used to measure TFV-based oral pre-exposure prophylaxis (PrEP) adherence. However, there are limited data comparing these 3 metrics and their appropriate use for PrEP adherence monitoring.

Methods

We collected DBS, urine, and plasma samples from HIV-negative adults randomized to a low (2 doses/week), moderate (4 doses/week), or perfect (7 doses/week) adherence group (via directly observed therapy) of tenofovir disoproxil fumarate/emtricitabine (TDF/FTC) for 6 weeks, followed by a 4-week washout phase. Drug concentrations were measured using liquid chromatography tandem mass spectrometry. Linear mixed-effects modeling was used to examine associations between drug concentrations and dosing time.

Results

Among 28 participants, the median age was 33 years, and 12 (43%) were female. At steady state, 25th percentile TFV-DP concentrations were 466, 779, and 1375 fmol/3 mm punch in the low, moderate, and perfect adherence group, respectively. Correlation was stronger between quantifiable TFV-DP and plasma TFV (r = 0.65; P < .01) than between TFV-DP and urine TFV (r = 0.50; P < .01). Among all participants, each additional week of cumulative dosing on average led to a mean increase of 158 fmol/3 mm punch (P < .001) in TFV-DP during the dosing phase. Each additional day after the last dose was associated with 43 fmol/3 mm punch lower TFV-DP (P = .07).

Conclusions

TFV-DP levels in DBS provide valuable insight into both dosing recency and cumulative doses from variable adherence patterns. Our observed benchmark TFV-DP concentrations were slightly higher than prior predicted estimates based on convenience samples.

Randomized Controlled Pilot Trial of a Low-Touch Remotely-Delivered Values Intervention to Promote Adherence to Adjuvant Endocrine Therapy Among Breast Cancer Survivors

BACKGROUND

Oral anti-cancer treatments such as adjuvant endocrine therapies (AET) for breast cancer survivors are commonly used but adherence is a challenge. Few low-touch, scalable interventions exist to increase ET adherence.

PURPOSE

To evaluate the acceptability, feasibility, and initial efficacy of a low-touch, remotely-delivered values plus AET education intervention (REACH) to promote AET adherence.

METHODS

A mixed-methods trial randomized 88 breast cancer survivors 1:1 to REACH or Education alone. Wisepill real-time electronic adherence monitoring tracked monthly AET adherence during a 1-month baseline through 6-month follow-up (FU) (primary outcome). Patient-reported outcomes were evaluated through 3- and 6-month FU (secondary). Multiple indices of intervention feasibility and acceptability were evaluated. Qualitative exit interviews (n = 38) further assessed participants' perceptions of feasibility/acceptability and recommendations for intervention adaptation.

RESULTS

The trial showed strong feasibility and acceptability, with an eligible-to-enrolled rate of 85%, 100% completion of the main intervention sessions, and "good" intervention satisfaction ratings on average. For Wisepill-assessed AET adherence, REACH outperformed Education for Month 1 of FU (p = .027) and not thereafter. Participants in REACH maintained high adherence until Month 4 of FU, whereas in Education, adherence declined significantly in Month 1. Conditions did not differ in self-reported adherence, positive affective attitudes, future intentions, or necessity beliefs. REACH trended toward less negative AET attitudes than Education at 3-month FU (p = .057) reflecting improvement in REACH (p = .004) but not Education (p = .809). Exploratory moderator analyses showed that average to highly positive baseline AET affective attitudes and oncologist-patient communication each predicted higher adherence following REACH than Education; low levels did not. Participants identified recommendations to strengthen the interventions.

CONCLUSIONS

REACH, a low-touch values intervention, showed good feasibility and acceptability, and initial promise in improving objectively-assessed AET adherence among breast cancer survivors (relative to education alone). Future research should target improving REACH's tailoring and endurance.

The value of adherence information during clinical pharmaceutical trials

BACKGROUND/AIMS

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Effect of electronic adherence monitoring on adherence and outcomes in chronic conditions: A systematic review and meta-analysis

INTRODUCTION

Electronic adherence monitoring (EAM) is increasingly used to improve adherence. However, there is limited evidence on the effect of EAM in across chronic conditions and on patient acceptability. We aimed to assess the effect of EAM on adherence and clinical outcomes, across all ages and all chronic conditions, and examine acceptability in this systematic review and meta-analysis.

METHODS

A systematic search of Ovid MEDLINE, EMBASE, Social Work Abstracts, PsycINFO, International Pharmaceutical Abstracts and CINAHL databases was performed from database inception to December 31, 2020. Randomised controlled trials (RCTs) that evaluated the effect of EAM on medication adherence as part of an adherence intervention in chronic conditions were included. Study characteristics, differences in adherence and clinical outcomes between intervention and control were extracted from each study. Estimates were pooled using random-effects meta-analysis, and presented as mean differences, standardised mean differences (SMD) or risk ratios depending on the data. Differences by study-level characteristics were estimated using subgroup meta-analysis to identify intervention characteristics associated with improved adherence. Effects on adherence and clinical outcomes which could not be meta-analysed, and patient acceptability, were synthesised narratively. The Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guideline was followed, and Risk of bias (RoB) assessed using the Cochrane Collaboration's RoB tool for RCTs. The review is registered with PROSPERO CRD42017084231.

FINDINGS

Our search identified 365 studies, of which 47 studies involving 6194 patients were included. Data from 27 studies (n = 2584) were extracted for the adherence outcome. The intervention group (n = 1267) had significantly better adherence compared to control (n = 1317), (SMD = 0.93, CI:0.69 to 1.17, p<0.0001) with high heterogeneity across studies (I2 = 86%). There was a significant difference in effect according to intervention complexity (p = 0.01); EAM only improved adherence when used with a reminder and/or health provider support. Clinical outcomes were measured in 38/47 (81%) of studies; of these data from 14 studies were included in a meta-analysis of clinical outcomes for HIV, hypertension and asthma. In total, 13/47 (28%) studies assessed acceptability; patient perceptions were mixed.

INTERPRETATION

Patients receiving an EAM intervention had significantly better adherence than those who did not, but improved adherence did not consistently translate into clinical benefits. Acceptability data were mixed. Further research measuring effects on clinical outcomes and patient acceptability are needed.

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

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

Electronic Smart Blister Packages to Monitor and Support Medication Adherence: A Usability Study

PURPOSE

An electronic version of the Dosepak^® (EDP) which records date and time of dosing events has been developed to monitor adherence to medication packaged in blisters. This study aimed to evaluate its usability and acceptance and to monitor dose-taking adherence for optimal implementation in future clinical trials and practice.

METHODS

Healthy volunteers aged over 18 years were asked to dispense placebo tablets twice daily from EDPs equipped with a re-usable electronic module for a total duration of four weeks. Afterwards, subjects were asked to complete an online questionnaire and partake in a short one-on-one interview. The usability of the EDP was assessed using the System Usability Scale (SUS), while dose-taking adherence was monitored by EDP records, pill counting, and self-report. The short interview explored user experiences in more detail.

RESULTS

Twenty subjects with median [IQR] age 41.5 [32-49.8] years, 55% female, 45% healthcare professionals, and 20% chronic medication users completed the study and found the EDP easy to use, with a mean [SD] SUS score of 78.0 [11.2]. Median [IQR] dose-taking adherence was 89% [82-95%] based on EDP records, 96.5% [89-100%] based on pill counting, 92% [91-96%] based on self-report, and the levels differed significantly (p < 0.05). Four themes emerged from the interviews: user preference, experience, patient burden, and ideas for improvement. Most participants preferred smaller sized blisters. They found the EDP simple to use and did not see any patient burden for its use in trials or clinical practice. Some reported forgetfulness and suggested reminders built into the blister or sent to their mobile phones. Adequate information or instruction should also be provided for older people and polypharmacy patients.

CONCLUSION

EDP had good perceived usability, was well accepted, and differed significantly from other adherence measurement methods. This study provides input to further guide scale-up of the blister packages.

An in-home Medication Dispensing System to Support Medication Adherence for Patients with Chronic Conditions in the Community Setting: A Prospective Observational Pilot Study (Preprint)

Background

Innovative digital technology systems that support and monitor real-time medication intake are now available commercially; however, there is limited knowledge of the use of such technology in patients’ homes. One such smart medication dispenser, spencer, provides alerts to patients to take their medications and allows for tracking and reporting real-time medication adherence data.

Objective

The objectives of this study were to examine the use of a smart medication dispenser as a medication adherence and self-management support tool for community dwelling adults over a 6-month period, in addition to usability, usefulness, satisfaction, and impact on caregiver support.

Methods

This prospective, observational study invited community-dwelling adults aged 45 years and older taking at least one chronic medication and their caregivers to use this smart medication dispenser for their medication administration for 6 months. Adherence was defined as a dose intake within 2 hours post scheduled time. Real-time adherence data were collected using the smart medication dispenser and the AdhereNet platform. Usability, usefulness, and satisfaction were measured using the System Usability Scale and the Usefulness, Satisfaction, and Ease of Use questionnaire, respectively. Caregiver burden was measured on a visual analog scale at baseline and at the end of the 6-month study period.

Results

A total of 58 participants were recruited, of which 55% (32/58) were female with a mean age of 66.36 (SD 11.28; range 48-90) years. Eleven caregiver participants were recruited, of whom 91% (10/11) were female. The average monthly adherence over 6 months was 98% (SD 3.1%; range 76.5%-100%). The average System Usability score was 85.74 (n=47; SD 12.7; range 47.5-100). Of the 46 participants who provided data, 44 (96%) rated the product as easy, 43 (93%) as simple to use, and 43 (93%) were satisfied with the product. Caregiver burden prior to and following smart medication dispenser use for 6 months was found to be statistically significantly different (P<.001; CI 2.11-5.98).

Conclusions

Smart medication adherence products such as spencer, when connected and clinically monitored, can be a useful solution for medication management and have the potential to improve caregiver burden.

Medication Adherence and Blood Pressure Control: A Scientific Statement From the American Heart Association

The widespread treatment of hypertension and resultant improvement in blood pressure have been major contributors to the dramatic age-specific decline in heart disease and stroke. Despite this progress, a persistent gap remains between stated public health targets and achieved blood pressure control rates. Many factors may be important contributors to the gap between population hypertension control goals and currently observed control levels. Among them is the extent to which patients adhere to prescribed treatment. The goal of this scientific statement is to summarize the current state of knowledge of the contribution of medication nonadherence to the national prevalence of poor blood pressure control, methods for measuring medication adherence and their associated challenges, risk factors for antihypertensive medication nonadherence, and strategies for improving adherence to antihypertensive medications at both the individual and health system levels.

Impact of Electronic Medication Reminder Caps on Patient Adherence and Blood Pressure

Background: Medication adherence is widely recognized as an essential component of chronic disease management, yet only 50% of patients take their medication as prescribed. Newer technologies have the potential to improve medication adherence. Objective: To conduct a pilot study estimating the impact of a pharmacy-dispensed electronic reminder cap (SMARxT cap), which also records cap openings, on medication adherence and blood pressure (BP). Methods: After a 30-day run-in period, 28 individuals were randomized to receive a SMARxT or placebo cap on each BP medication. The primary outcome was adherence measured via (1) the medication possession ratio, (2) number of cap openings, and (3) self-report. The secondary outcome was the average of 2 BP readings at 6 months. Mean changes from baseline to 6 months were compared between the 2 groups. Results: The medication possession ratio increased 2.7% in the SMARxT cap group and decreased 1.1% in the control group (P = .13), and cap openings increased 11.9% in the SMARxT cap group and 9.9% in the control group (P = .83). Self-reported adherence increased 1.1 points in the SMARxT cap group and 0.8 points in the control group (P = .64). Systolic BP decreased 8.2 mm Hg in the SMARxT cap group and 2.8 mm Hg in the placebo cap group (P = .35), and diastolic BP decreased to 6.2 mm Hg in the SMARxT cap group and was unchanged in the placebo cap group (P = .06). Conclusions: Use of SMARxT cap showed nonsignificant improvement in medication adherence and BP lowering. This technology has potential to characterize and improve medication-taking behavior.

A review of features and characteristics of smart medication adherence products

Background

Smart medication adherence products (smart MAPs) capture and transmit real-time medication intake by using various means of connectivity, allowing for remote monitoring. Numerous such products with different features are available to address medication nonadherence. A comparison of the features of these products is needed for clinical decision-making. Therefore, the objective of this review was to compare smart MAPs available for in-home use.

Methods

We searched grey and published literature and videos to identify smart MAPs. To be considered smart, products required 2 features: connectivity (the ability for collected data to exist outside the physical device) and automaticity (the ability for data to be analyzed or processed automatically). Products were excluded if product descriptions were not available in English, not for in-home use and unable to dispense medications.

Results

Of the 51 products identified, 38 commercially available and 13 prototypes met the definition. Of these, 75% (n = 38) contained alarms, 24% (n = 12) were unit-dose, 63% (n = 32) were multidose, 43% (n = 22) had locking features, 41% (n = 21) were portable and 88% (n = 45) sent notifications to patients. The cost of marketed products, excluding subscriptions, ranged from $10 to $1500 USD. Some products required a monthly (n = 16) or yearly (n = 1) subscription ranging from $10 to $100 USD.

Discussion

There is a growing market of smart MAPs for in-home patient use with variable features. Clinicians can use these features to identify and recommend products according to the specific needs of their patients to address medication adherence. Can Pharm J (Ott) 2021;154:xx-xx.

Leveraging Digital Medicine to Support Providers and Their Patients in Managing Serious Mental Illness

Recent national statistics show that an estimated 11.2 million American adults live with serious, chronic forms of mental illness. The burden of mental illness is considerable for these individuals, their families, and communities. Effective medical treatment for serious mental illness (SMI) requires a patient-centered approach that engages patients in shared decision-making and supports the therapeutic alliance. Information regarding medication-taking behavior is essential for making treatment decisions, particularly in the instance of suboptimal therapeutic response. However, the evidence suggests that the probability of nonconformity with prescribed medication is elevated for individuals with SMI and that clinicians often overestimate their patients' adherence to medication-taking behaviors. In patients with SMI, unidentified problems with adherence may lead to unnecessary changes in treatment regimen and increased rates of hospitalization. Although various approaches have been used to assess medication ingestion with greater accuracy, none are without limitation. The growing field of digital medicine has introduced tools that engage patients for clinical purposes, gather and organize clinical data, and help measure care quality. Physician surveys show an appreciable increase in physician adoption of digital clinical tools, and studies suggest that a significant population of patients with SMI own and are comfortable using digital devices and tools. Digital tools designed to help people with SMI have the potential to transform the support and care available to people with mental health disorders, bridging a technology gap in mental health services.

Three week compared to seven week run-in period length and the assessment of pre-randomization adherence: A study within a trial

BACKGROUND/AIMS

To examine how measuring adherence at 3 weeks by self-report and pill counts compares to measurements at 7 weeks in a pre-randomization run-in period.

METHODS

Study within a trial of an international parallel group randomized controlled trial (RCT) that compares spironolactone to placebo. Adults receiving dialysis enter an 8-week active run-in period with spironolactone. Adherence was assessed by both self-report and pill counts in a subgroup of participants at both 3 weeks and 7 weeks.

RESULTS

332 participants entered the run-in period of which 166 had complete data. By self-report, 146/166 (94.0%) and 153/166 (92.2%) had at least 80% adherence at 3 and 7 weeks respectively (kappa = 0.27 (95% C.I. 0.16 to 0.38). By pill counts, the mean (SD) adherence was 96.5% (16.1%) and 92.4% (18.2%) at 3 and 7 weeks respectively (r = 0.32) with a mean (SD) difference of 3.1% (17.8%) and a 95% limit of agreement from -31.7% to +37.9%. The proportion of adherent participants by self-report and pill counts at 3 weeks agreed in 87.4% of participants (McNemar's p-value 0.58, kappa 0.11, p = 0.02) and at 7 weeks agreed in 92.2% (McNemar's p-value 0.82, kappa 0.47, p < 0.001).

CONCLUSIONS

Three and seven-week run-in periods and both self-reported and pill count assessments performed similarly.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT03020303.

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.

Impact on patients' compliance with medication using prepacked blisters for multidrug medical therapy: I-COMPLY Study

PURPOSE

Studies have supported the use of packaging interventions such as pillboxes or blister packs to improve medication adherence but have not evaluated the efficacy of these interventions in a population of low socioeconomic status. The aim of this study was to assess the effect of home-delivered pill packs on medication adherence in a low-income Black American population with Medicaid insurance.

METHODS

This study was an open-label, randomized, controlled trial. The patient population studied included 80 patients followed by primary care physicians at the Cleveland Clinic. Patients were randomized to a study group who received delivery of their multidrug medical therapy, defined as a minimum of 4 medications daily, in prepackaged blisters or a control group who obtained their prescriptions from their routine pharmacy.

RESULTS

The primary analysis compared the mean percentage of missed pills between the 2 groups using t-test analysis. The percentage of missed pills in the study group was significantly lower than in the control group (mean [SD]: 3.7% [6.0%] vs 17.4% [16.6%] missed daily pills; P < 0.001). The number of daily missed doses was also significantly lower in the study group (0.3 [0.5] vs 0.7 [0.6]; P = 0.002). Patients were on a mean of 8.1 (SD, 2.3) and 8.1 (SD, 2.6) medications in the study and control groups, respectively (P = 0.96).

CONCLUSION

Delivery of prepackaged medications in a low-income Black American community was demonstrated to improve medication adherence. The use of prepackaged blisters for medication home delivery is a model that can be utilized on a larger scale for patients on multidrug medical therapy.

Identifying sustainable lifestyle strategies for maintaining good glycemic control: a validation of qualitative findings

INTRODUCTION

Diabetes self-care practices are less effective outside of controlled research settings, and almost half of patients do not achieve good glycemic control. Qualitative studies suggest some lifestyle strategies may be linked to good control, but those strategies have not been validated. This study provides population-based evidence that dietary strategies identified in qualitative studies are associated with glycemic control in US patients with diabetes.

RESEARCH DESIGN AND METHODS

In a cross-sectional sample of the National Health and Nutrition Examination Survey (NHANES), qualitative self-management themes were matched to survey questions and used to predict good glycemic control (hemoglobin A1c <7.0% (53 mmol/mol)). Patients were limited to those 50 years of age and older with a diagnosis of diabetes for at least 1 year (N=465).

RESULTS

Patients averaged 65 years of age with a body mass index of 32.56 kg/m2 and 42% reported no physical activity. In logistic regression models controlling for sociodemographic and medical history variables, self-monitoring of blood glucose, weight loss, and physical activity were not significantly associated with glycemic control. Instead, dietary practices such as consuming low-calorie foods (OR=4.05, 95% CI 1.64 to 10.01), eating less fat (OR=2.15, 95% CI 1.03 to 4.47), and reducing sodium (OR=1.94, 95% CI 1.18 to 3.17) were significantly associated with good glycemic control, as was diabetes education or consultation with a dietitian (OR=3.48, 95% CI 1.28 to 9.45). Non-adherence to medications (OR=0.27, 95% CI 0.11 to 0.68) and general dietary descriptions, such as following a 'diabetic diet' (OR=0.32, 95% CI 0.17 to 0.57) and 'changing eating habits for weight loss' (OR=0.34, 95% CI 0.15 to 0.77), were associated with poorer glycemic control.

CONCLUSIONS

The NHANES validation of lifestyle management strategies suggests practices that may be sustainable. In a population that tends to be obese with low physical activity, successful self-care might emphasize specific dietary practices offering concrete touchpoints for patient communication and guidance. These strategies might help maintain glycemic control.

Digital Health Integration Assessment and Maturity of the United States Biopharmaceutical Industry: Forces Driving the Next Generation of Connected Autoinjectable Devices

Autoinjectable devices continue to provide real-life benefits for patients with chronic conditions since their widespread adoption 30 years ago with the rise of macromolecules. Nonetheless, issues surrounding adherence, patient administration techniques, disease self-management, and data outcomes at scale persist despite product design innovation. The interface of drug device combination products and digital health technologies formulates a value proposition for next-generation autoinjectable devices to power the delivery of precision care at home and achieve the full potential of biologics. Success will largely be dependent on biopharma’s digital health maturity to implement this framework. This viewpoint measures the digital health maturity of the top 15 biopharmaceutical companies in the US biologics autoinjector market and establishes the framework for next-generation autoinjectable devices powering home-based precision care and the need for formal digital health training.

Treatment Adherence in Chronic Conditions during Ageing: Uses, Functionalities, and Cultural Adaptation of the Assistant on Care and Health Offline (ACHO) in Rural Areas

The increasingly common scenario of an ageing population is related to a rise in the prevalence of problems associated with chronic conditions and comorbidities. Polypharmacy is frequent among this population, and it is a situation that can create medication management and adherence issues. This article introduces the features and functionalities of a voice assistant (Assistant on Health and Care Offline, ACHO) that aims to facilitate treatment adherence among elderly adults. Specifically adapted for its use in rural contexts, it does not require an Internet connection. Its development consisted of two stages: a first stage of problem diagnosis, in which the classic tools of ethnographic fieldwork were used, and a second stage of design implementing methodologies developed by Ambient Assisted Living (AAL) programmes. The main design characteristic of this new digital care system is that it is adapted to the needs of its end-users. It includes features such as voice customisation and the personal identification of medication, it can be connected to other digital devices, and information is introduced and supervised by healthcare professionals. These custom features introduce a safer medication administration procedure, improve supervision strategies, and increase patients' trust in the prescription process.

Adherence to Non-Selective Beta Blockers for Prevention of Variceal Bleeding in Cirrhotic Patients

BACKGROUND AND AIM

Long-term use of non-selective beta blockers (NSBBs) is essential for the prevention of esophageal variceal bleeding in liver cirrhosis but may impair the patient's adherence. The present study aimed to investigate the adherence to NSBBs to prevent variceal bleeding in cirrhotic patients.

METHODS

All patients who had an indication of NSBBs for the prophylaxis of variceal bleeding between February 2018 and June 2019 were screened. Clinical pharmacists gave pre-medication education and recorded the adherence to NSBBs during the patients' hospitalizations. Factors associated with poor adherence were evaluated by univariate logistic regression analysis. Odds ratios (OR) with 95% confidence intervals (CI) were calculated. The relationship between poor adherence during follow-up and variceal bleeding after discharge was also evaluated.

RESULTS

Overall, 108 patients were screened, of whom 12 were intolerant to NSBBs. Among the 96 remaining patients who could take NSBBs, the average change of heart rate after NSBBs was -10.49 b.p.m. Twenty-two (22.9%) patients had poor adherence to NSBBs due to their refusal to take NSBBs (n = 2), complete forgetfulness to take NSBBs (n = 10), and refusal or forgetfulness to monitor heart rate (n = 10). Univariate logistic regression analysis demonstrated that only older age was significantly associated with poor adherence (OR: 1.065, 95% CI: 1.019-1.114, P = 0.005). Patients with poor adherence during follow-up were more likely to develop variceal bleeding after discharge.

CONCLUSION

A significant proportion of cirrhotic patients had poor adherence to NSBBs during their hospitalizations. Further studies should explore how to improve the patient's adherence to NSBBs.

Impact of Introducing the Pletaal Assist System on Drug Adherence in Outpatients with Ischaemic Stroke: A Pilot Study

PURPOSE

The effectiveness of Electronic Medication Packaging devices for monitoring drug adherence has been widely reported. However, conventional devices are expensive for routine use and cannot confirm whether the medication was administered. We aimed to determine, in a pilot and feasibility study, the impact of introducing a new medication support device, the Pletaal Assist System^®, to monitor and improve cilostazol adherence for stroke prevention at an outpatient clinic.

PATIENTS AND METHODS

We assessed consecutive patients treated with cilostazol for >3 months at our stroke outpatient clinic from January 2018 to March 2020. The adherence rate was assessed as follows: (the number of pills prescribed minus the number of remaining pills)/the number of pills prescribed. We compared the adherence rates before, during, and after Pletaal Assist System^® usage, respectively.

RESULTS

Overall, 25 patients (median age, 68.5 years; range, 51-86 years; male, 64%) were enrolled. All participants were prescribed cilostazol (100 mg) twice a day. There was no significant difference in the adherence rate among the three periods. However, in 10 patients with adherence rate below 100%, the adherence rate during Pletaal Assist System^® usage was higher than before usage (99.5% vs 95%, p=0.04), and the rate after using the Pletaal Assist System^® tended to be lower compared to the rate during usage (99.5% vs 96%, p=0.05).

CONCLUSION

Our preliminary evidence suggest that the Pletaal Assist System^® could further improve cilostazol adherence in outpatients with poor drug adherence and may reduce the risk of recurrent strokes by improving adherence of patients with a history of stroke.

The Usability, Acceptability, and Functionality of Smart Oral Multidose Dispensing Systems for Medication Adherence: A Scoping Review

BACKGROUND

Medication non-adherence is a leading cause of non-optimal disease management, resulting in poor health outcomes, poor quality of life, and increased healthcare costs. Smart oral multidose dispensing systems (SOMDS) are being developed to address non-adherence; however, little is known about their integration into daily use by patients.

METHODS

Using Arksey and O'Malley's scoping review framework, relevant literature was searched for in electronic databases (PubMed, EMBASE, International Pharmaceutical Abstracts, and Scopus). Observational and interventional studies reporting the integration and impact on adherence from SOMDS in adults ≥18 years and published after 1960 were included.

RESULTS

Thirteen articles including one case study, 8 cohort studies, and 4 randomized trials were eligible. SOMDS included smart blister packaging, automated dispensers, and electronic medication trays. The number of medications dispensed per SOMDS was one (n = 3), >1 (n = 2), placebo (n = 1) and not reported (n = 7). Reported outcomes included impact on medication adherence (n = 3), integration (n = 2) and both parameters (n = 8).

CONCLUSION

Although most studies reported that SOMDS appear usable, there was significant variability in the SOMDS types, patient populations, medication adherence definitions, and measurements; impacting the interpretation of results. Future studies should be designed to address effectiveness of SOMDS on medication adherence in patients with multi-drug therapy and the utilization of real-time adherence data for informing clinical decision making.

Stakeholder Feedback of Electronic Medication Adherence Products: Qualitative Analysis

Background

Medication management among older adults continues to be a challenge, and innovative electronic medication adherence products have been developed to address this need.

Objective

The aim of this study is to examine user experience with electronic medication adherence products, with particular emphasis on features, usefulness, and preferences.

Methods

Older adults, caregivers, and health care providers tested the usability of 22 electronic medication adherence products. After testing 5 products, participants were invited to participate in a one-on-one interview to investigate their perceptions and experiences with the features, usefulness, and preference for electronic medication adherence products tested. The interviews were audio recorded, transcribed, and analyzed using exploratory inductive coding to generate themes. The first 13 interviews were independently coded by 2 researchers. The percentage agreement and Cohen kappa after analyzing those interviews were 79% and 0.79, respectively. A single researcher analyzed the remaining interviews.

Results

Of the 37 participants, 21 (57%) were older adults, 5 (14%) were caregivers, and 11 (30%) were health care providers. The themes and subthemes generated from the qualitative analysis included product factors (subthemes: simplicity and product features, including availability and usability of alarms, portability, restricted access to medications, and storage capacity) and user factors (subthemes: sentiment, affordability, physical and cognitive capability, and technology literacy and learnability).

Conclusions

Electronic medication adherence products have the potential to enable independent medication management in older adults. The choice of a particular product should be made after considering individual preferences for product features, affordability, and the sentiment of the users. Older adults, caregivers, and health care providers prefer electronic medication adherence products that are simple to set up and use, are portable, have easy-to-access medication compartments, are secure, and have adequate storage capacity.

Interdisciplinary Mobile Health Model to Improve Clinical Care After Heart Transplantation: Implementation Strategy Study

Background

Solid organ transplantation could be the only life-saving treatment for end-stage heart failure. Nevertheless, multimorbidity and polypharmacy remain major problems after heart transplant. A technology-based behavioral intervention model was established to improve clinical practice in a heart transplant outpatient setting. To support the new strategy, the mHeart app, a mobile health (mHealth) tool, was developed for use by patients and providers.

Objective

The primary objective of this study was to describe the implementation of the mHeart model and to outline the main facilitators identified when conceiving an mHealth approach. The secondary objectives were to evaluate the barriers, benefits, and willingness to use mHealth services reported by heart transplant recipients and cardiology providers.

Methods

This was an implementation strategy study directed by a multidisciplinary cardiology team conducted in four stages: design of the model and the software, development of the mHeart tool, interoperability among systems, and quality and security requirements. A mixed methods study design was applied combining a literature review, several surveys, interviews, and focus groups. The approach involved merging engineering and behavioral theory science. Participants were chronic-stage heart transplant recipients, patient associations, health providers, stakeholders, and diverse experts from the legal, data protection, and interoperability fields.

Results

An interdisciplinary and patient-centered process was applied to obtain a comprehensive care model. The heart transplant recipients (N=135) included in the study confirmed they had access to smartphones (132/135, 97.7%) and were willing to use the mHeart system (132/135, 97.7%). Based on stakeholder agreement (>75%, N=26), the major priorities identified of the mHealth approach were to improve therapy management, patient empowerment, and patient-provider interactions. Stakeholder agreement on the barriers to implementing the system was weak (<75%). Establishing the new model posed several challenges to the multidisciplinary team in charge. The main factors that needed to be overcome were ensuring data confidentiality, reducing workload, minimizing the digital divide, and increasing interoperability. Experts from various fields, scientific societies, and patient associations were essential to meet the quality requirements and the model scalability.

Conclusions

The mHeart model will be applicable in distinct clinical and research contexts, and may inspire other cardiology health providers to create innovative ways to deal with therapeutic complexity and multimorbidity through health care systems. Professionals and patients are willing to use such innovative mHealth programs. The facilitators and key strategies described were needed for success in the implementation of the new holistic theory–based mHealth strategy.

Do electronic medication monitors improve tuberculosis treatment outcomes? Programmatic experience from China

Background

In China, an indigenously developed electronic medication monitor (EMM) was used. EMM recorded each time the device was opened (no real time data), offering an indirect measure of tuberculosis treatment adherence. Previous study in China showed that the EMM uptake was satisfactory, missing adherence data were common in the information management system (25%) and shift to directly observed therapy (DOT) based on poor adherence documented by EMMs were seldom.

Objectives

Among people with tuberculosis notified in 30 counties (July-December 2018) where EMM supported self-administered therapy (SAT) was suggested to all eligible (no communication impairment, ambulatory), we assessed the relative differences in unfavourable outcomes and deaths among those started on EMM at baseline (within first month of diagnosis) when compared to SAT alone.

Methods

This was a cohort study using secondary data. We employed an intention to treat analysis, and used modified Poisson regression with robust variance estimates to assess the association.

Results

Of 1810 eligible people, 1047 used EMM at baseline and of them, 216 (20.1%) stopped using EMM midway. Of 763 people who did not use EMM at baseline, 267 (35.0%) started using EMM later during the treatment. Among those who started using EMM at baseline, 6.3% [95% CI: 4.9, 8.0] had unfavourable outcomes compared to 6.7% [95% CI: 5.1, 8.8] among those who did not (p = 0.746). Lesser deaths were observed in people who started EMM at baseline when compared to those who did not: 2.5% [95% CI: 1.7, 3.7] versus 3.5% [95% CI: 2.4, 5.2], p = 0.191. The lack of association remained after adjusting for potential confounders (occupation, TB classification and TB category).

Conclusion

Under programmatic settings, we did not find significant differences in the outcomes. Optimization of EMMs by shifting to DOT when indicated, addressing the issue of missing data and ensuring continuous use is required.