Technology-mediated interventions for enhancing medication adherence

Pan-European survey on medication adherence management by healthcare professionals

AIMS

While medication adherence (MA) is a key prerequisite for achieving optimal clinical and economic outcomes, nonadherence is highly prevalent. Assessing how healthcare professionals (HCPs) in Europe manage MA, focusing on measurement, reporting and interventions, is the subject of this study.

METHODS

A cross-sectional study was conducted among 40 European countries and quantitative analysis was conducted via an online survey. The multi-language online survey was created using Webropol 3.0 survey and reporting tool. Descriptive statistics and chi-squared tests were applied.

RESULTS

In total, 2875 HCPs (pharmacists: 39.9%; physicians: 36.7%; nurses: 16.4%) from 37 European countries participated. The most used methods for MA assessment were direct communication with patients (86.4%) and referring to personal patient records (56.7%) (P < 0.0001). Physicians (74.9%) and nurses (58.8%) were more aware of problems related to MA in contrast to pharmacists (48.6%) (P < 0.001). Almost all HCPs (92.6%) indicated that MA-enhancing interventions involved mainly direct communication with nonadherent patients (93.3%) and their caregivers (55.7%). Medication review and related optimization of therapy were mainly performed in Western European countries (46.8%). Technological solutions were ranked as one of the less applied approaches (10-15%) (P < 0.001).

CONCLUSIONS

HCPs in all European regions recognize MA management as an integral element of overall patient-centred care. More efforts are needed to ensure timely, adequate and relevant MA assessment, reporting and improvement and involvement of all HCPs, especially among pharmacists who were generally less aware of MA issues. Promotion and use of digital technological solutions should be the focus of current and future clinical practice to optimize MA management processes.

Secure Messaging Intervention in Patients Starting New Antidepressant to Promote Adherence: Pilot Randomized Controlled Trial

BACKGROUND

There are a range of effective pharmacological and behavioral treatments for depression. However, approximately one-third of patients discontinue antidepressants within the first month of treatment and 44% discontinue them by the third month of treatment. The major reasons reported for discontinuation were side effect burden, patients experiencing that the medications were not working, and patients wanting to resolve their depression without using medication.

OBJECTIVE

This study tested the acceptability, feasibility, and preliminary effectiveness of an SMS messaging intervention designed to improve antidepressant adherence and depression outcomes in veterans. The intervention specifically targeted the key reasons for antidepressant discontinuation. For example, the secure message included reminders that it can take up to 6 weeks for an antidepressant to work, or prompts to call their provider should the side effect burden become significant.

METHODS

This pilot was a 3-armed randomized controlled trial of 53 veterans undergoing depression treatment at the Iowa City Veterans Affairs Health Care System. Veterans starting a new antidepressant were randomized to secure messaging only (SM-Only), secure messaging with coaching (SM+Coach), or attention control (AC) groups. The intervention lasted 12 weeks with follow-up assessments of key outcomes at 6 and 12-weeks. This included a measure of antidepressant adherence, depressive symptom severity, and side effect burden.

RESULTS

The 2 active interventions (SM-Only and SM+Coach) demonstrated small to moderate effect sizes (ESs) in improving antidepressant adherence and reducing side effect burden. They did not appear to reduce the depressive symptom burden any more than in the AC arm. Veteran participants in the SM arms demonstrated improved medication adherence from baseline to 12 weeks on the Medication Adherence Rating Scale compared with those in the AC arm, who had a decline in adherence (SM-Only: ES=0.09; P=.19; SM+Coach: ES=0.85; P=.002). Depression scores on the 9-Item Patient Health Questionnaire decreased for all 3 treatment arms, although the decline was slightly larger for the SM-Only (ES=0.32) and the SM+Coach (ES=0.24) arms when compared with the AC arm. The 2 intervention arms indicated a decrease in side effects on the Frequency, Intensity, and Burden of Side Effects Ratings, whereas the side effect burden for the AC arm increased. These differences indicated moderate ES (SM-Only vs AC: ES=0.40; P=.07; SM+Coach: ES=0.54; P=.07).

CONCLUSIONS

A secure messaging program targeting specific reasons for antidepressant discontinuation had small-to-moderate ES in improving medication adherence. Consistent with prior research, the intervention that included brief synchronic meetings with a coach appeared to have a greater benefit than the SMS-alone intervention. Veterans consistently engaged with the SMS messaging in both treatment arms throughout the study period. They additionally provided feedback on which texts were most helpful, tending to prefer messages providing overall encouragement rather than specific wellness recommendations.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03930849; https://clinicaltrials.gov/study/NCT03930849.

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

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

Effects of Digital Physical Activity Interventions for Breast Cancer Patients and Survivors: A Systematic Review and Meta-Analysis

OBJECTIVES

The benefits of physical activity (PA) for breast cancer (BC) patients and survivors are well documented. With the widespread use of the internet and mobile phones, along with the recent coronavirus disease 2019 pandemic, there has been a growing interest in digital health interventions. This study conducted a systematic review and meta-analysis to evaluate the effects of digital PA interventions for BC patients and survivors in improving PA and quality of life (QoL).

METHODS

We searched eight databases, including PubMed, CINAHL, Embase, Scopus, Web of Science, Cochrane Central Register of Controlled Trials in the Cochrane Library, RISS, and DBpia. Studies were included if they provided digital PA interventions, assessed PA and QoL among BC patients and survivors, and were published from inception to December 31, 2022.

RESULTS

In total, 18 studies were identified. The meta-analysis showed significant improvement in the total PA duration (five studies; standardized mean difference [SMD] = 0.71; 95% confidence interval [CI], 0.25-1.18; I2 = 86.64%), functional capacity (three studies; SMD = 0.38; 95% CI, 0.10-0.66; I2 = 14.36%), and QoL (nine studies; SMD = 0.45; 95% CI, 0.22-0.69; I2 = 65.55%).

CONCLUSIONS

Digital PA interventions for BC patients and survivors may significantly improve PA, functional capacity, and QoL. Future research should focus on the long-term effects of digital PA interventions, using objective outcome measures.

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.

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

BACKGROUND

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

An electronic pillbox intervention designed to improve medication safety during care transitions: challenges and lessons learned regarding implementation and evaluation

Background

Adverse drug events are common during transitions of care. As part of the Smart Pillbox study, a cluster-randomized controlled trial of an electronic pillbox designed to reduce medication discrepancies and improve medication adherence after hospital discharge, we explored barriers to successful implementation and evaluation of this intervention.

Methods

Eligible patients were those admitted to a medicine service of a large teaching hospital with a plan to be discharged home on five or more chronic medications. The intervention consisted of an electronic pillbox with pre-filled weekly blister pack medication trays given to patients prior to discharge. Pillbox features included alarms to take medications, detection of pill removal from each well, alerts to patients or caregivers by phone, email, or text if medications were not taken, and adherence reports accessible by providers. Greater than 20% missed doses for three days in a row triggered outreach from a pharmacist. To identify barriers to implementation and evaluation of the intervention, we reviewed patient exit surveys, including quantitative data on satisfaction and free-text responses regarding their experiences; technical issue logs; and team meeting minutes. Themes were derived by consensus among the study authors and organized using the Consolidated Framework for Implementation Research.

Results

Barriers to implementation included intervention characteristics such as perceived portability issues with the pillbox and time required by pharmacists to enter medication information into the software; external policies such as lack of insurance coverage for early refills and regulatory prohibitions on repackaging medications; implementation climate issues such as the incompatibility between the rushed nature of hospital discharge with the time required to deploy the intervention; and patient issues such as denial of previous problems with medication adherence. We founds several obstacles to conducting the study, including patients declining study enrollment and limited attempts by the hospital to streamline logistics by building the intervention into usual care. Several solutions to address many of these challenges were implemented or planned. Despite these challenges, many patients with the pillbox were pleased with the service and believed the intervention worked well for them.

Conclusions

In this evaluation, several barriers to implementing and conducting a study of the effectiveness of the intervention were identified. Our findings provide lessons learned for others wishing to implement and evaluate HIT-related interventions designed to improve medication safety during care transitions.

Trial registration

Clinicaltrials.gov NCT03475030

Influencing medication taking behaviors using automated two-way digital communication: A narrative synthesis systematic review informed by the Behavior Change Wheel

PURPOSE

Around half of prescribed medications for long-term conditions are not taken as directed. Automated two-way digital communication, such as text messaging and interactive voice response technology, could deliver interventions to improve medication adherence, and subsequently health. However, exploration of how such interventions may improve medication adherence is limited. This review aimed to explore how automated two-way digital communication can improve medication taking with or without using non-digital intervention components, such as phone calls with healthcare professionals.

METHODS

A theory-informed narrative synthesis systematic review. Several databases were searched including CINAHL, Embase, Medline, and Web of Science using key words relating to 'medication adherence' and digital communication technologies. The Behavior Change Technique (BCT) coding using the BCT Taxonomy V1 and the Behavior Change Wheel were used to identify BCTs delivered within the included interventions.

RESULTS

A total of 3,018 records were screened with 43 study reports included in the review. Four medication-taking behaviors: taking medication, obtaining medication, self-testing, and asking for support were identified as targets for behavior change within the included interventions. Most BCTs within the digital communication component aimed to increase motivation for medication adherence, with non-digital intervention components included to address other medication taking barriers, such as physical and psychological capability.

CONCLUSION

Automated two-way digital communication can detect barriers to medication adherence by monitoring performance of the taking medication behavior. Monitoring outcomes from taking medication may increase reflective motivation to take medicines. Addressing physical opportunity to taking medication by facilitating the behavior obtaining medication may also increase adherence.

Reimbursed medication adherence enhancing interventions in 12 european countries: Current state of the art and future challenges

Background: Medication non-adherence jeopardises the effectiveness of chronic therapies and negatively affects financial sustainability of healthcare systems. Available medication adherence-enhancing interventions (MAEIs) are utilised infrequently, and even more rarely reimbursed. The aim of this paper was to review reimbursed MAEIs across selected European countries.

Methods: Data on reimbursed MAEIs were collected from European countries at the ENABLE Cost Action expert meeting in September 2021. The identified MAEIs were analysed and clustered according to their characteristics, direct vs. indirect relation to adherence, and the targeted adherence phase.

Results: Out of 12 contributing countries, 10 reported reimbursed MAEIs, 28 in total, of which 20 were identified as MAEIs targeting adherence directly. Reimbursed MAEIs were most often performed by either doctors (n = 6), nurses (n = 6), or pharmacists (n = 3). The most common types of MAEIs were education (n = 6), medication regimen management (n = 5), and adherence monitoring feedback (n = 4). Only seven reimbursed MAEIs were technology-mediated, whereas 11 addressed two interlinked phases of medication adherence, i.e., implementation and persistence.

Conclusion: Our review highlights the scarcity of reimbursed MAEIs across the selected European countries, and calls for their more frequent use and reimbursement.

Scalability of an ACT-Based strategy for improving well-being in health care providers: A mix-method and preliminary evaluation of efficacy

The burden of the COVID-19 pandemic has been mainly carried by health care providers. Technology-Mediated Interventions (TMI) seem to be a feasible alternative to increase access to behavioral health resources in this population. However, scaling-up treatments into TMI requires developing user-friendly, accepted, and accessible formats. A two-stage study was conducted to assess scalability of an Acceptance and Commitment Therapy (ACT) based strategy (named FACE COVID) delivered using technology. First, a mix-method design connected qualitative and quantitative data from health providers and ACT experts by which changes were performed to enhance scalability. Second, a pretest-posttest study was conducted to preliminary evaluate the efficacy of FACE COVID intervention on well-being, psychological distress, and psychological flexibility. Results showed a positive impact on well-being, but not distress and psychological flexibility. While this intervention has promising results, changes in dose intensity, social support, and mental health literacy could improve retention as well as increase opportunities to target distress and psychological flexibility in future studies.

A Grand Challenge for Psychology: Reducing the Age-related Digital Divide

World-wide population aging and rapid diffusion of digital technology have converged to produce an age-related digital divide in technology adoption, as seen in use of the internet and ownership of smartphones. Given the centrality of these technologies for full participation in modern society, reducing that gap is an important challenge for psychologists. We outline more and less malleable factors associated with technology adoption. We argue that interventions that can change both the aging user and the design of products will be necessary. Adaptive technology systems that incorporate artificial intelligence and extended reality represent promising new approaches to reducing the age-related digital divide.

Validating a Self-Reported Medication Nonadherence Measure in the Context of Multiple Chronic Diseases and Routes of Medication Administration Among Patients with Type 2 Diabetes

INTRODUCTION

Patients with diabetes may take oral and injectable medications and often have comorbid chronic diseases. It is unclear whether to assess nonadherence for oral and injectable medications separately or combined and for comorbid conditions separately or combined.

RESEARCH DESIGN AND METHODS

We conducted two cognitive interview studies among patients with type 2 diabetes who were prescribed medications for oral or injectable diabetes medications (Study 1) or at least one diabetes, blood pressure, and cholesterol medication (Study 2). Participants completed the two-domain DOSE-Nonadherence measure, which assesses extent of nonadherence and reasons for nonadherence. We asked about interpretation of instructions and items, recall period, ability to respond accurately with separate versus combined versions, and comprehensiveness of reasons for nonadherence to injectable medications.

RESULTS

Based on Study 1 (n=14), nonadherence to injectable and oral medications should be assessed separately. Participants believe they can respond accurately to 7-day recall period for daily medications and a one-month recall period for weekly injectable medications. New reasons for nonadherence to injectable medications were perceived as relevant. Based on Study 2 (n-12), nonadherence to medications for diabetes, blood pressure, and cholesterol should be assessed separately.

CONCLUSION

Although separate versions increase response time, it may improve accuracy. Responses to the measure can facilitate conversations about nonadherence between providers and patients to inform clinical decision-making.

Reevaluating medication adherence in the era of digital health

INTRODUCTION

Medication adherence is a worldwide issue impacting more than half the population. The cost associated with nonadherence is tremendous and has spurred the growth of novel technologies to address this growing problem.

AREAS COVERED

This perspective covers the different digital health medication adherence tools that have come to market in the past decade and their clinical impact. These digital interventions and their applicability to medication adherence across different stakeholders are then evaluated.

EXPERT OPINION

Digital health will play a significant role in creating new pathways to care in the 2020s. However, the current design of medication adherence tools has not demonstrated a clinical impact that will be relevant for the digital health space without a change in redesign factoring in relevant stakeholders' incentives to address adherence issues. A focus on only adherence has not yielded the economic or clinical benefit as expected, which is likely due to a lack of focus on broader drug-related problems (DRPs) that are causative factors beyond adherence alone. As such, adherence tools will see disparate uptake, likely due to condition-specific interventions rather than adherence issues as a whole, and future endeavors will need to address the larger DRP considerations to actualize clinical outcomes.

Smart About Meds (SAM): a pilot randomized controlled trial of a mobile application to improve medication adherence following hospital discharge

Objective

The objectives of this pilot study were (1) to assess the feasibility of a larger evaluation of Smart About Meds (SAM), a patient-centered medication management mobile application, and (2) to evaluate SAM’s potential to improve outcomes of interest, including adherence to medication changes made at hospital discharge and the occurrence of adverse events.

Materials and Methods

We conducted a pilot randomized controlled trial among patients discharged from internal medicine units of an academic health center between June 2019 and March 2020. Block randomization was used to randomize patients to intervention (received access to SAM at discharge) or control (received usual care). Patients were followed for 30 days post-discharge, during which app use was recorded. Pharmacy claims data were used to measure adherence to medication changes made at discharge, and physician billing data were used to identify emergency department visits and hospital readmissions during follow-up.

Results

Forty-nine patients were eligible for inclusion in the study at hospital discharge (23 intervention, 26 control). In the 30 days of post-discharge, 15 (65.2%) intervention patients used the SAM app. During this period, intervention patients adhered to a larger proportion of medication changes (83.7%) than control patients (77.8%), including newly prescribed medications (72.7% vs 61.7%) and dose changes (90.9% vs 81.8%). A smaller proportion of intervention patients (8.7%) were readmitted to hospital during follow-up than control patients (15.4%).

Conclusion

The high uptake of SAM among intervention patients supports the feasibility of a larger trial. Results also suggest that SAM has the potential to enhance adherence to medication changes and reduce the risk of downstream adverse events. This hypothesis needs to be tested in a larger trial.

Trial registration

Clinicaltrials.gov, registration number NCT04676165.

Treatment Adherence in Integrative Medicine-Part Two: Practitioner Insights

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.

Use of digital health tools for health promotion in cancer survivors

OBJECTIVE

Although digital health tools (DHTs) are a promising alternative and effective strategy to deliver cancer care and support, their role in health promotion among cancer survivors remains relatively unexplored. We aimed to investigate the acceptability and impact of DHT for health promotion in cancer survivors.

METHODS

Data was pooled from cycle three of the fifth edition of the Health Information National Trends Survey. Logistic regressions were conducted to evaluate differences between cancer survivors and the general population regarding ownership, usage, and perceived usefulness of DHT for health management. Regression models were used to identify sociodemographic predictors of DHT usage among cancer survivors.

RESULTS

Overall, cancer survivors were as likely as the general population to own and use DHT (e.g., health apps, wearable devices) for their care and they were likely to find these tools beneficial in tracking their health and communicating with healthcare providers. Cancer survivors who had health applications installed on their mobile device were more likely to meet national recommendations for diet (fruit and vegetable consumption) and strength training than those without health apps. Age, income, and education level were significant sociodemographic predictors of DHT ownership and usage.

CONCLUSION

Cancer survivors own and use DHT at similarly high rates to the general population, highlighting the potential for utilizing DHT to expand access and continuity of care in the growing and vulnerable oncology population. With increasing use of DHT in healthcare, future research that targets digital access disparities in cancer survivors from low SES is essential.

Perceptions of community pharmacists to implementing technologies in the workplace: an exploratory study

Background The proliferation of different technologies in pharmacies has begun to change the role and work of pharmacists; however, while workplace integration of technologies has been shown to be beneficial, there are still barriers to their implementation. Few studies have investigated pharmacists' perceptions of these technologies. Objective To investigate the views of community pharmacists on the implementation of technologies in pharmacy practice. Setting Community pharmacies in Auckland, New Zealand. Methods Semi-structured interviews were conducted June-September 2018 with a convenience sample of 20 pharmacists. Interviews explored current medication management and technologies used to support this service, experiences with technologies, confidence in learning new technologies, and whether the introduction of technologies could solve any needs in pharmacy practice. Data were analysed using inductive thematic analysis. Main outcome measure Community pharmacists views on pharmacy technologies. Results Four key themes were identified: attitudes to existing medication management technologies, adapting to new technologies, acceptance of technology, and barriers to implementing technology in pharmacies. Pharmacists were accepting of technology to help with medication management and allowing them to provide more patient-centered care. Most pharmacists expressed confidence in using new technologies and viewed technology as a tool to address current limitations in their practice. Barriers to technology were cost, consequences of medication error, fear that technology may replace people, and an over-reliance on technology. Conclusion Community pharmacists made use of several types of technologies to promote medication management, including robotics. While mostly accepting of new technologies to streamline tasks and reduce error, pharmacists highlighted the importance of addressing barriers to technology implementation prior to workplace implementation.

Medication adherence support of an in-home electronic medication dispensing system for individuals living with chronic conditions: a pilot randomized controlled trial

BACKGROUND

Medication adherence is challenging for older adults due to factors such as the number of medications, dosing schedule, and the duration of drug therapy. The objective of this study was to examine the effectiveness of an in-home electronic medication dispensing system (MDS) on improving medication adherence and health perception in older adults with chronic conditions.

METHODS

A pilot Randomized Controlled Trial (RCT) was conducted using a two-arm parallel assignment model. The intervention group used an MDS as their medication management method. The control group continued to use their current methods of medication management. Block randomization was used to assign participants into the intervention or control group. The inclusion criteria included 1) English speaking 2) age 50 and over 3) diagnosed with one or more chronic condition(s) 4) currently taking five or more oral medications 5) City of Calgary resident. Participants were recruited from a primary care clinic in Alberta, Canada. The study was open-label where knowledge about group assigned to participants after randomization was not withheld. Medication adherence was captured over a continuous, six-month period and analyzed using Intention-to-Treat (ITT) analysis.

RESULTS

A total of 91 participants were assessed for eligibility and 50 were randomized into the two groups. The number of participants analyzed for ITT was 23 and 25 in the intervention and control group, respectively. Most of the demographic characteristics were comparable in the two groups except the mean age of the intervention group, which was higher compared to the control group (63.96 ± 7.86 versus 59.52 ± 5.93, p-value = 0.03). The average recorded adherence over 26 weeks was significantly higher in the intervention group than the control group (98.35% ± 2.15% versus 91.17% ± 9.76%, p < 0.01). The self-rated medication adherence in the intervention group also showed a significant increase from baseline to 6-month (Z=-2.65, p < 0.01). The control group showed a non-significant increase (Z=-1.79, p = 0.07).

CONCLUSION

The MDS can be an effective, long-term solution to medication non-adherence in older adults experiencing chronic conditions and taking multiple medications. The technology induces better consistency and improvement in medication taking behaviour than simple, non-technological intervention.

TRIAL REGISTRATION

Registered with ClinicalTrials.gov on April 09, 2020 with identifier NCT04339296 .

Patient Experience during the Support, Educate, Empower Glaucoma Coaching Program to Improve Medication Adherence: A Pilot Study

PURPOSE

To understand patients' qualitative experiences with the Support, Educate, Empower (SEE) personalized glaucoma coaching program, provide a richer understanding of the components of the intervention that were useful in eliciting behavior change, and understand how to improve the SEE Program.

DESIGN

A concurrent mixed-methods process analysis.

PARTICIPANTS

Thirty-nine patients with a diagnosis of any kind of glaucoma or ocular hypertension who were aged ≥40 years, were taking ≥1 glaucoma medication, spoke English, self-administered their eye drops, and had poor glaucoma medication adherence (defined as taking ≤80% of prescribed medication doses assessed via electronic medication adherence monitors) who completed the 7-month SEE Program.

METHODS

All participants who completed the study were interviewed in-person using a semistructured interview guide after the intervention. Coders conducted qualitative analysis of transcribed interviews using Grounded Theory. Participants were then stratified into groups based on change in adherence, and thematic differences between groups were examined.

MAIN OUTCOME MEASURES

Themes that emerged from interviews categorized by the number of participants who expressed a theme and the number of representative citations.

RESULTS

Participants expressed positive views toward the program overall (95%, n = 37/39). They perceived program components as working together to improve their medication adherence. Interactions with the glaucoma coach (38 participants, 184 citations), motivation to aid personal change (38 participants, 157 citations), personalized glaucoma education (38 participants, 149 citations), electronic reminders, and hearing their adherence score (37 participants, 90 citations) were most commonly cited by participants as helpful program elements contributing to improved adherence. Patients expressed a desire for personalized education to be a standard part of glaucoma care. Participants who demonstrated more improvement in adherence had a more trusting attitude toward the adherence score and a greater magnitude of perceived personal need to improve adherence.

CONCLUSIONS

Participants reported a highly positive response to the in-person glaucoma education and motivational interviewing intervention used in conjunction with automated adherence reminders.

A systematic overview of systematic reviews evaluating medication adherence interventions

PURPOSE

To systematically summarize evidence from multiple systematic reviews (SRs) examining interventions addressing medication nonadherence and to discern differences in effectiveness by intervention, patient, and study characteristics.

SUMMARY

MEDLINE, the Cochrane Database of Systematic Reviews, and the Database of Abstracts of Reviews of Effects were searched for papers published from January 2004 to February 2017. English-language SRs examining benefits of medication adherence interventions were eligible. Inclusion was limited to adult patients prescribed medication for 1 of the following disease conditions: diabetes and prediabetes, heart conditions, hypertension and prehypertension, stroke, and cognitive impairment. Non-disease-specific SRs that considered medication adherence interventions for older adults, adults with chronic illness, and adults with known medication adherence problems were also included. Two researchers independently screened titles, abstracts, and full-text articles. They then extracted key variables from eligible SRs, reconciling discrepancies via discussion. A MeaSurement Tool to Assess systematic Reviews (AMSTAR) was used to assess SRs; those with scores below 8 were excluded. Conclusions regarding intervention effectiveness were extracted. Grades of Recommendation, Assessment, Development and Evaluation (GRADE) methodology was applied to assess evidence quality.

RESULTS

Of 390 SRs, 25 met the inclusion criteria and assessed adherence as a primary outcome. Intervention types most consistently found to be effective were dose simplification, patient education, electronic reminders to patients, and reduced patient cost sharing or incentives. Of 50 conclusions drawn by the SRs, the underlying evidence was low or very low quality for 45 SRs.

CONCLUSION

Despite an abundance of primary studies and despite only examining high-quality SRs, the vast majority of primary studies supporting SR authors' conclusions were of low or very low quality. Nonetheless, health system leaders seeking to improve medication adherence should prioritize interventions that have been studied and found to be effective at improving patient adherence, including dose simplification, education, reminders, and financial incentives.

eHealth Interventions for Solid Organ Transplant Recipients: A Systematic Review and Meta-analysis of Randomized Controlled Trials

BACKGROUND

Lack of support for self-management may contribute to adverse health outcomes. eHealth has the potential to support self-management, but evidence in solid organ transplantation remains unclear. This review aims to evaluate the benefits and harms of eHealth interventions to support self-management in solid organ transplant recipients.

METHODS

We searched Cochrane Central Register of Controlled Trials, MEDLINE, and Embase databases for randomized trials of eHealth interventions in solid organ transplant recipients. We calculated the risk ratios or standardized mean difference of outcomes, and summary estimates were determined using random-effects models. The Cochrane risk of bias tool and Grading of Recommendations, Assessment, Development, and Evaluations were used to assess trial quality.

RESULTS

Twenty-one trials from 6 countries involving 2114 participants were included. Compared with standard care, eHealth interventions improved medication adherence (risk ratio, 1.34; CI, 1.12-2.56; I = 75%) and self-monitoring behavior (risk ratio, 2.58; CI, 1.56-4.27; I = 0%) up to 12 mo posttransplant. The treatment effects were largely consistent across different subgroups except for intervention functionality and mode of delivery. The effects on other outcomes were uncertain. Nine trials reported harms. The overall risk of bias was considered high or unclear, and the quality of evidence was low to very low for all outcomes.

CONCLUSIONS

eHealth interventions may improve medication adherence and self-monitoring behavior in the short term, but high-quality intervention studies are needed to determine whether eHealth will improve long-term patient-relevant outcomes.

Feasibility and acceptability of a telephone-based chaplaincy intervention in a large, outpatient oncology center

Purpose

Telechaplaincy (the use of telecommunications and virtual technology to deliver spiritual and religious care by healthcare chaplains or other religious/spiritual leaders) is a relatively novel intervention that has increasingly been used in recent years, and especially during COVID-19. Telephone-based chaplaincy is one mode of telechaplaincy. The purpose of this study was to (1) describe telephone-based chaplaincy interventions delivered as the first point of contact to patients who screen positive for religious/spiritual concern(s) using an electronic data system, and (2) assess the feasibility and acceptability of delivering interventions in an outpatient cancer institute using this methodology.

Methods

Patients were screened for religious and spiritual (R/S) concern(s) using an electronic data system. Patients indicating R/S concern(s) were offered a telephone-based chaplaincy intervention and asked to complete a survey assessing acceptability of the intervention. Feasibility and acceptability data were collected.

Results

Thirty percent of screened patients indicated R/S concern(s). Telephone-based chaplaincy interventions were offered to 100% of eligible patients, establishing contact with 61% of eligible patients, and offering chaplaincy interventions to 48% of those patients. Survey participants report high acceptability of the offered intervention.

Conclusion

This is the first study examining feasibility and acceptability of telephone-based chaplaincy with oncology patients. Telephone-based chaplaincy is feasible and acceptable within an outpatient oncology setting, supporting the promise of this interventional strategy. Further research is needed to refine practices.

Medication adherence for atrial fibrillation patients: triangulating measures from a smart pill bottle, e-prescribing software, and patient communication through the electronic health record

OBJECTIVE

Our primary objectives were to examine adherence rates across two technologies (e-prescribing software and smart pill bottle) with cross-validation from alert-triggered messaging within the patient electronic health record (EHR) portal and to explore the benefits and challenges faced by atrial fibrillation (AF) patients in using a smart pill bottle.

MATERIALS AND METHODS

We triangulated the rate of oral anticoagulant medication adherence among 160 AF patients over 6 months using an EHR in combination with data from the AdhereTech© Wireless Smart Pill Bottle and Surescripts©. In addition, we collected qualitative feedback on patients' Smart Pill Bottle usage through structured interviews with 153 participants.

RESULTS

Patients maintained an average adherence rate of 90.0% according to the smart pill bottle; however, when dose misses were calibrated based on patient or provider feedback, the adjusted adherence was 93.6%. Surescripts adherence rates for refills were 92.2%. Participants generally found the bottle easy to operate but suggested that its size and functionality did not fit seamlessly into their existing routine, as many used weekly pill organizers to manage multiple medications.

DISCUSSION

Though each method of tracking adherence has positive and negative attributes, combining them and seeking patient feedback may help capture a more accurate adherence rate than any single technological intervention. Technologies may have different design considerations for research and consumer use.

CONCLUSION

Overall, these technologies provide useful but imperfect adherence data for research purposes, and smart pill bottles could be improved with patient-centered design.

LAY SUMMARY

Medication adherence is very important for those with chronic health issues. For those with heart disease, medication adherence not only offers opportunities for improving quality of life, but it also can be life-saving. Nonetheless, many patients with heart disease, including those with atrial fibrillation (the target group for this study) do not take their medications regularly. As technologies advance, there is unprecedented opportunity to track patients' medication adherence through various methods, which might provide motivation and information to patients as they make daily choices about medication use. In this study, we cross-referenced the results of two of these measures over 6 months-a smart pill bottle, which we used to track pill bottle openings, and e-prescribing software, which we used to track medication refills. We also supplemented these measures with nurse-patient communication via the EHR messaging portal to record exceptions (eg, travel and medication changes) and interviewed patients about their medication use during the 6-month trial. Overall, the tracking technologies worked relatively well to track patient (n = 160) medication behavior; however, they did not capture exceptions. Hence, triangulating data from different sources, with a patient feedback loop, appears critical for gathering accurate data on medication adherence.

Experience with antiretroviral electronic adherence monitoring among young African American men who have sex with men living with HIV: findings to inform a triaged real-time alert intervention

We performed a pilot study among young African-American men who have sex with men (AAMSM) of real-time electronic adherence monitoring (EAM) in Chicago to explore acceptability and feasibility of EAM and to inform intervention development. We recruited 40 young AAMSM living with HIV on ART to participate in up to 3 months of monitoring with the Wisepill device. Participants were interviewed at baseline, in response to the first true adjudicated 1-dose, 3-day, and 7-day misses, and at the end of monitoring. Reasons for missing doses and the acceptability and feasibility of electronic monitoring were assessed using mixed methods. The median participant observation time was 90 days (N = 40). For 21 participants with 90 days of follow-up, <90% and <80% adherence occurred in 82% and 79%, respectively in at least one of their monitored months (n = 63 monitored months). The participants generally found the proposed intervention acceptable and useful. Although seven participants said the device attracted attention, none said it led to disclosure of their HIV status. This study found real-time EAM to be generally acceptable and feasible among YAAMSM living with HIV in Chicago. Future work will develop a triaged real-time EAM intervention including text alerts following detection of nonadherence.

The association of provider and practice factors with HIV antiretroviral therapy adherence

OBJECTIVE

While antiretroviral therapy (ART) is essential to patients with HIV, there is substantial variation in adherence nationally. We assess how provider and practice factors contribute to successful HIV ART adherence.

DESIGN

We used Medicaid Analytic Extract claims from 2008 to 2012. We attributed patients with HIV to the provider that provided the plurality of HIV-related services or primary care in a given year and assigned these providers to a medical practice based on the National Provider Identifier registry file. We fit successive linear hierarchical models with patient, provider, and practice characteristics to partition the variation in adherence driven by each factor. Our unit of analysis was the patient-year.

SETTING

Fourteen US states with the highest HIV prevalence.

PARTICIPANTS

A total of 111 013 patient-years representing 60 496 Medicaid enrollees living with HIV attributed to 4930 providers and 1960 practices.

MAIN OUTCOME MEASURE

Percentage of year individual patients were adherent to an ART regimen.

RESULTS

Provider and practice random effects jointly explained 6.8% of variation in adherence with patient differences accounted for 45.2% of the variation. Patients seen by generalists and other specialists had a 1.6 [95% confidence interval (CI): 0.6-2.5] and 5.1 (95% CI: 4.1-6.1) percentage point greater adherence than those seen by infectious disease specialists (P < 0.001). Every additional year a patient saw the same provider was associated with a 6% increase in adherence (95% CI: 5.7-6.3).

CONCLUSION

There is substantial variation in ART adherence attributable to providers and practices and between provider specialties. To improve ART adherence for patients living with HIV, structural aspects of care should be considered.

A randomized controlled efficacy study of the Medido medication dispenser in Parkinson's disease

Background

Complex medication schedules in Parkinson’s disease (PD) result in lower therapy adherence, which contributes to suboptimal therapy and clinical deterioration. Medication reminder systems might improve therapy adherence and subsequently improve symptoms of PD. This randomized controlled study assessed the effect of the electronic medication dispenser Medido on physical disability in PD, as a proxy for changes in therapy adherence.x

Methods

Eighty-seven patients were randomized into the Medido group or control group. The primary outcome of physical disability was measured by the AMC Linear Disability Scale (ALDS). Secondary outcomes were quality of life (QoL) (PDQ-39), health status (EQ5D-5L, VAS), non-motor symptoms (NMS-Quest), and QoL of the caregiver (PDQ-carer). Measurements were performed at baseline, and after 3 and 6 months follow-up.

Results

When using the Medido, a non-significant improvement of 3.0 points (95% CI -5.6;11.6) was seen in ALDS. The exploratory subgroup Hoehn & Yahr classification (H&Y) > 2.5 improved significantly on ALDS with 14.7 points (95% CI -28.5;-0.9, p = 0.029 for group x time interaction). QoL deteriorated with 1.0 point in PDQ-39 (p = 0.01 for group x time interaction) in favor of the control group. Non-significant differences were observed for VAS (0.4 points, p = 0.057) and NMS-Quest (1.3 points, p = 0.095) in favor of the Medido group. No changes over time were observed in EQ5D-5L and PDQ-carer.

Conclusions

Based on these data, no firm conclusion can be drawn, but use of the Medido medication dispenser may result in a clinical improvement of physical disability and seems particularly appropriate for more severe patients.

Trial registration

NTR3917. Registered 19 March 2013.

What are the important design features of personal health records to improve medication adherence for patients with long-term conditions? A systematic literature review

OBJECTIVES

This systematic literature review aims to identify important design features of the electronic personal health record (PHR) that may improve medication adherence in the adult population with long-term conditions.

DATA SOURCES

PubMed (including MEDLINE), CINAHL, Science Direct (including EMBASE), BioMed Central, ACM digital, Emerald Insight, Google Scholar and Research Gate.

METHODS

Studies that were published between 1 January 2002 and 31 May 2018 in English were included if the participants were adults, with at least one long-term condition, were able to self-administer their medication and were treated in primary care settings. The quality of evidence was assessed with the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system and the risk of bias was appraised using the Cochrane risk of bias tool.

RESULTS

From a total of 27 studies that matched the inclusion criteria, 12 were excluded due to low quality of evidence, 10 were rated moderate and 5 were rated high quality. All the included studies had low sample size and limited follow-up duration. Thirteen of the included studies found that the use of a PHR has increased medication adherence. The identified design features are reminders, education, personalisation and tailoring, feedback and alerts, gamification, medication management, medical appointment management, diary and self-monitoring, health condition management, set goals, patient's blog and tethered. It was impossible to draw conclusions as to which feature is important to what group of patients and why. The most frequently identified conditions were HIV and diabetes. This review did not identify any papers with negative results. It was not possible to numerically aggregate the PHR effect due to high heterogeneity of the medication adherence measurement, study type, participants and PHRs used.

CONCLUSION

Although we found recurrent evidence that PHRs can improve medication adherence, there is little evidence to date to indicate which design features facilitate this process.

PROSPERO REGISTRATION NUMBER

CRD42017060542.

Enhanced Adherence in Patients Using an Automated Home Medication Dispenser

BACKGROUND

Many factors contribute to medication nonadherence including psychological and memory disorders, aging, and pill burden. The Automated Home Medication Dispenser (AHMD) is a medication management system intended to help solve unintentional medication nonadherence.

OBJECTIVE

The purpose of this study was to determine if use of the AHMD improved medication adherence.

METHODS

We conducted a 6-month prospective, feasibility study assessing use of the AHMD in 21 patient-caregiver dyads. Patients were referred by their physician because of poor medication adherence and included if they resided in Rochester, NY and on at least two medications in pill form. Pill counts were performed at baseline to assess previous adherence. Prospective medication adherence was assessed using AHMD recorded dosing information. A paired t-test was used to compare previous and prospective adherence.

RESULTS

The mean age of patients was 75.1 years. Fifteen patients (71.4%) and eight caregivers (38.1%) were women; half (47.6%) of caregivers lived with the patient. The most common patient comorbidities were hypertension (76.2%) and memory disorder (61.9%). Mean adherence increased from 49.0% at baseline to 96.8% after 6 months of AHMD use (p < .001).

CONCLUSION

In a cohort of unintentionally nonadherent patients, use of the AHMD for 6 months significantly improved medication adherence.

Adolescents' Use of Digital Technologies and Preferences for Mobile Health Coaching in Public Mental Health Settings

Objective: Youth with mental illnesses often engage in unhealthy behaviors associated with early mortality from physical diseases in adulthood, but interventions to support positive health behaviors are rarely offered as part of routine mental health care for this group. Digital health technology that is desirable, accessible, and affordable has the potential to address health behaviors in public mental health settings where many adolescents with severe mental health problems receive care. The aims of this study were to examine how adolescents receiving public mental health services use digital technology and social media and to explore their preferences using technology to support health and wellness.

Methods: Using a convergent parallel mixed methods design, we surveyed adolescents ages 13–18 from four community mental health centers in one state and conducted focus group interviews to explore their perspectives on using digital technology and social media to receive health coaching and connect with peers to support healthy behaviors. The survey and focus group data were merged to inform the future development of a digital health intervention for adolescents receiving public mental health services.

Results: Of 121 survey respondents (mean age 15.2, SD = 1.5), 92% had a cell phone, 79% had a smartphone, 90% used text messaging, and 98% used social media. Focus group interviews revealed that adolescents were interested in receiving strengths-based mobile health coaching, and they preferred structured online peer-to-peer interactions in which a professional moderator promotes positive connections and adherence to privacy guidelines.

Conclusions: Adolescents receiving public mental health services in this study had access to smartphones and were frequent social media users. These data suggest that digital health interventions to promote health and wellness among adolescents may be scalable in community mental health settings. Adolescent participants suggested that digital health interventions for this group should focus on strengths and online peer support for health promotion should include a professional moderator to foster and manage peer-to-peer interactions.

Demonstrating a Technology-Mediated Intervention to Support Medication Adherence in Community-Dwelling Older Adults in Primary Care: A Feasibility Study

Background: Medication non-adherence can lead to significant morbidity and mortality. This 4-week feasibility study aims to demonstrate that the eDosette intervention can be implemented with older adults in primary care. Method: Fifty-six older adults from four primary care sites in Southwestern Ontario, Canada participated. The intervention involved generating, for pharmacist review, weekly medication administration records based on transmitted data captured by the eDosette. The primary outcome is implementation feasibility defined by recruitment, adherence rates, frequency of captured missed and late doses, descriptions of clinical work resulting from the intervention, and participant feedback. Results: The recruitment rate was 24% (57/240); one withdrew due to personal reasons. The mean observed adherence rate was 82% (range 49%-100%). Overall, participants missed 505 and took 2,105 doses late; 118 clinical decisions occurred with 72 unique medication changes in 31 participants. Participants found the eDosette easy to use and did not feel that they were viewed negatively because of their potential non-adherence. Conclusion: The eDosette intervention could be feasibly implemented in primary care with older adults. Providing information about when an older adult takes their medications could play a role in medication adherence by prompting more informed discussions between the older adult and primary care clinicians.

The trials and tribulations of conducting an m-health pilot randomized controlled trial to improve oral cancer therapy adherence: recommendations for future multisite, non-drug clinical trials

OBJECTIVE

Integrating mobile phone-based health (m-health) interventions into healthcare systems is one solution to improve access to services for the growing number of patients with chronic illness. Practical challenges such as poor recruitment and inadequate resource allocation can hamper the assessment of such interventions with clinical trial methodology. This paper highlights the challenges encountered during a pilot randomized controlled trial of an m-health medication adherence intervention and offers recommendations for future multi-site, non-drug clinical trials.

RESULTS

Eighteen patients were recruited to the study; eight were randomly allocated to the intervention arm. Intervention participants responded to their daily medication-reminder text messages, indicating that medication had been taken or not, and nurses were able to organize their calls around their workload. The trial closed prematurely primarily due to inadequate numbers of eligible patients; however, other potentially resolvable feasibility issues were identified. These included lack of infrastructure at study sites, poor screening data acquisition and management processes, and inexperience in conducting supportive care trials at participating sites. M-health intervention trials are designed to inform implementation of best supportive care practice. Adequate skills and infrastructure are research prerequisites that require careful consideration and sufficient investment for the successful execution of multi-site supportive care trials. Trial registration Australian and New Zealand Clinical Trials Register: ACTRN12612000635864.

Digital behavior change interventions to promote physical activity and/or reduce sedentary behavior in older adults: A systematic review and meta-analysis

BACKGROUND

Physical activity and sedentary behavior are modifiable risk factors for non-communicable disease and healthy ageing, however the majority of older adults remain insufficiently active. Digital behavior change interventions (DBCI) have the potential to reach many older adults to promote physical activity and reduce sedentary time. This study aims to assess the efficacy of DBCI interventions in older adults (≥50 years) on physical activity and sedentary behavior.

METHODS

A systematic review of major databases from inception to 03/2018 was undertaken. Randomized controlled trials (RCT) or pre-post interventions assessing effects of DBCI on physical activity and/or sedentary behavior in older adults (≥50 years) were included. Random effects meta-analyses were carried out.

RESULTS

Twenty-two studies were included, including 1757 older adults (mean age = 67 years, %male = 41), 68% showed moderate-high risk of bias. Meta-analyses suggested that DBCI increased total physical activity among RCT studies (n = 8) (SMD = 0.28; 95%CI 0.01, 0.56; p = 0.04) and pre-post studies (n = 6) (SMD = 0.25; 95%CI 0.09, 0.41; p = 0.002), increased moderate-to-vigorous physical activity (SMD = 0.47; 95%CI 0.32, 0.62, p < 0.001; MD = 52 min/week) and reduced sedentary time (SMD = -0.45; 95%CI -0.69, -0.19; p < 0.001; MD = 58 min/day). Reductions in systolic blood pressure (-11 bpm; p = 0.04) and improvements in physical functioning (p = 0.03) were also observed.

CONCLUSIONS

DBCI may increase physical activity and physical functioning, and reduce sedentary time and systolic blood pressure in older adults, however more high-quality studies are required.

Older Adult Preferences of Mobile Application Functionality Supporting Medication Self-Management

Health systems and insurers alike are increasingly interested in leveraging mHealth (mobile health) tools to support patient health-related behaviors including medication adherence. However, these tools are not widely used by older patients. This study explores patient preferences for functionality in a smartphone application (app) that supports medication self-management among older adults with multiple chronic conditions. We conducted six discussion groups in Chicago, Miami, and Denver (N = 46). English-speaking older adults (55 and older) who owned smartphones and took five or more prescription medicines were invited to participate. Discussions covered familiarity with and use of current apps and challenges with taking multidrug regimens. Participants reviewed a range of possible mobile app functions and were asked to give feedback regarding the acceptability and desirability of each to support medication management. Very few participants (n = 3) reported current use of a mobile app for medication support, although all were receptive. Challenges to medication use were forgetfulness, fear of adverse events, and managing medication information from multiple sources. Desired features included (1) a list and consolidated schedule of medications, (2) identification and warning of unsafe medication interactions, (3) reminder alerts to take medicine, and (4) the ability record when medications were taken. Features relating to refill ordering, pharmacy information, and comparing costs for medication were not considered to be as important for an app.

Creating a synergy effect: A cluster randomized controlled trial testing the effect of a tailored multimedia intervention on patient outcomes

OBJECTIVE

Improving adherence is a challenge and multiple barriers are likely to explain non-adherence. These barriers differ per patient and over course of the regimen. Hence, personalized interventions tailored to the specific barriers are needed. In a theoretical and evidence-based Tailored Multimedia Intervention, technology (online preparatory assessment, text messaging) was used as an add-on to a tailored counseling session (learned during a communication skills training), with the expectation of synergistic effects.

METHODS

A cluster randomized controlled trial was conducted in six hospitals, eight nurses and 160 chronic patients. Patient satisfaction with communication, beliefs about medication, self-efficacy and medication adherence were assessed at initiation of the treatment and after six months.

RESULTS

Intervention effects were found for patient satisfaction with nurses' affective communication and self-efficacy at the initiation of treatment. The effect on self-efficacy remained after six months.

CONCLUSION

By combining tailored counseling with technology, this intervention resulted in positive changes in important prerequisites of medication adherence.

PRACTICAL IMPLICATIONS

Technology can contribute significantly to health care providers' ability to tailor information to the patients' needs.

Impact of nursing interventions on adherence to treatment with antituberculosis drugs in children and young people: A nonrandomized controlled trial

AIM

To evaluate the association of a new nursing intervention on the adherence to antituberculosis treatment in a paediatric cohort (<18 years).

BACKGROUND

Tuberculosis remains a public health problem worldwide. The risk of developing tuberculosis after primary infection and its severity are higher in children. Proper adherence to antituberculosis treatment is critical for disease control.

DESIGN

Nonrandomized controlled trial; Phase 1, retrospective (2011-2013), compared with Phase 2, prospective with intervention (2015-2016), in a referral centre for paediatric tuberculosis in Spain (NCT03230409).

METHODS

A total of 359 patients who received antituberculosis drugs after close contact with a smear-positive patient (primary chemoprophylaxis) or were treated for latent tuberculosis infection or tuberculosis disease were included, 261 in Phase 1 and 98 in Phase 2. In Phase 2, a new nurse-led intervention was implemented in all patients and included two educational steps (written information in the child's native language and follow-up telephone calls) and two monitoring steps (Eidus-Hamilton test and follow-up questionnaire) that were exclusively carried out by nurses.

RESULTS

Adherence to antituberculosis treatment increased from 74.7% in Phase 1% to 87.8% in Phase 2 (p = 0.014; Chi-square test), after the implementation of the nurse-led intervention. In Phase 2, nonadherence was only associated with being born abroad (28.6% vs. 7.8%; p = 0.019; Chi-square test) and with foreign origin families (27.3% vs. 0%; p < 0.0001; Chi-square test).

CONCLUSION

The nurse-led intervention was associated to an increase in adherence to antituberculosis treatment. Immigrant-related variables remained major risk factors for sub-optimal adherence in a low-endemic setting.

Prevalence and predictors of being lost to follow-up after transurethral resection of the prostate

Patient follow-up after transurethral resection of the prostate (TURP) is crucial to evaluate treatment-related outcomes and potential adverse events. We sought to determine the rate of, and factors associated with, patient nonadherence to follow-up after TURP. Data from 180 patients who underwent TURP were analysed. Patient counselling and follow-up were standardized among the cohort. Patients were considered lost to follow-up (LTF) if they were at least 30 days from their first scheduled follow-up appointment. Descriptive statistics and logistic regression analyses were performed to determine the impact of predictors on the rate of compliance with prescribed follow-up. Of 180 patients, 55 (30.5%) were LTF. LTF patients were younger (p < 0.001), had lower educational status (p = 0.007) and were more frequently single (p = 0.03) than those who were not LTF. Importantly, patients who experienced a postoperative-related event (PRE) were more likely to follow-up (p = 0.04). Multivariable analysis revealed that younger age (p < 0.001) and low educational status (p < 0.001) were independent predictors of being LTF. One out of three men submitted to TURP is lost to follow-up in the real-life setting. Noncompliance to follow-up was more frequent among young, single patients with low educational status. On the contrary, patients who experienced a PRE were more likely to follow-up.

A Randomized Trial of a Multicomponent Intervention to Promote Medication Adherence: The Teen Adherence in Kidney Transplant Effectiveness of Intervention Trial (TAKE-IT)

BACKGROUND

Poor adherence to immunosuppressive medications is a major cause of premature graft loss among children and young adults. Multicomponent interventions have shown promise but have not been fully evaluated.

STUDY DESIGN

Unblinded parallel-arm randomized trial to assess the efficacy of a clinic-based adherence-promoting intervention.

SETTING & PARTICIPANTS

Prevalent kidney transplant recipients 11 to 24 years of age and 3 or more months posttransplantation at 8 kidney transplantation centers in Canada and the United States (February 2012 to May 2016) were included.

INTERVENTION

Adherence was electronically monitored in all participants during a 3-month run-in, followed by a 12-month intervention. Participants assigned to the TAKE-IT intervention could choose to receive text message, e-mail, and/or visual cue dose reminders and met with a coach at 3-month intervals when adherence data from the prior 3 months were reviewed with the participant. "Action-Focused Problem Solving" was used to address adherence barriers selected as important by the participant. Participants assigned to the control group met with coaches at 3-month intervals but received no feedback about adherence data.

OUTCOMES

The primary outcomes were electronically measured "taking" adherence (the proportion of prescribed doses of immunosuppressive medications taken) and "timing" adherence (the proportion of doses of immunosuppressive medications taken between 1 hour before and 2 hours after the prescribed time of administration) on each day of observation. Secondary outcomes included the standard deviation of tacrolimus trough concentrations, self-reported adherence, acute rejection, and graft failure.

RESULTS

81 patients were assigned to intervention (median age, 15.5 years; 57% male) and 88 to the control group (median age, 15.8 years; 61% male). Electronic adherence data were available for 64 intervention and 74 control participants. Participants in the intervention group had significantly greater odds of taking prescribed medications (OR, 1.66; 95% CI, 1.15-2.39) and taking medications at or near the prescribed time (OR, 1.74; 95% CI, 1.21-2.50) than controls.

LIMITATIONS

Lack of electronic adherence data for some participants may have introduced bias. There was low statistical power for clinical outcomes.

CONCLUSIONS

The multicomponent TAKE-IT intervention resulted in significantly better medication adherence than the control condition. Better medication adherence may result in improved graft outcomes, but this will need to be demonstrated in larger studies.

TRIAL REGISTRATION

Registered at ClinicalTrials.gov with study number NCT01356277.

Care relationships at stake? Home healthcare professionals' experiences with digital medicine dispensers - a qualitative study

BACKGROUND

Although digital technologies can mitigate the burdens of home healthcare services caused by an ageing population that lives at home longer with complex health problems, research on the impacts and consequences of digitalised remote communication between patients and caregivers is lacking. The present study explores how home healthcare professionals had experienced the introduction of digital medicine dispensers and their influence on patient-caregiver relationships.

METHODS

The multi-case study comprised semi-structured interviews with 21 healthcare professionals whose home healthcare service involved using the digital medicine dispensers. The constant comparative method was used for data analyses.

RESULTS

Altogether, interviewed healthcare professionals reported three main technology-related impacts upon their patient-caregiver relationships. First, national and local pressure to increase efficiency had troubled their relationships with patients who suspected that municipalities have sought to lower costs by reducing and digitalising services. Participants reported having to consider such worries when introducing technologies into their services. Second, participants reported a shift towards empowering patients. Digital technology can empower patients who value their independence, whereas safety is more important for other patients. Healthcare professionals needed to ensure that replacing care tasks with technology implies safe and improved care. Third, the safety and quality of digital healthcare services continues to depend upon surveillance and control mechanisms that compensate for less face-to-face monitoring. Participants did not consider the possibility that surveillance exposes information about patients' everyday lives to be problematic, but to constitute opportunities for adjusting services to meet patients' needs.

CONCLUSIONS

Technologies such as digital medicine dispensers can improve the efficiency of healthcare services and enhance patients' independence when introduced in a way that empowers patients as well as safeguards trust and service quality. Conversely, the patient-caregiver relationship can suffer if the technology does not meet patients' needs and fails to offer safe and trustworthy services. Upon introducing technology, home healthcare professionals therefore need to carefully consider the benefits and possible disadvantages of the technology. Ethical implications for both individuals and societies need to be further discussed.

Exploring Perceived Barriers to Medication Adherence and the Use of Mobile Technology in Underserved Patients With Chronic Conditions

BACKGROUND AND OBJECTIVE

Evidence suggests that the prevalence of medication nonadherence is greater in medically underserved, low-income communities. There is paucity of qualitative data examining the potential use of mobile health (mHealth) in underserved patients. This study aimed to explore barriers to medication adherence and identify opportunities and challenges for the potential use of mHealth adherence interventions in an underserved population.

METHODS

A qualitative cross-sectional focus group was conducted. Focus groups were conducted with underserved patients recruited at a federally qualified health center. The Health Belief Model was used as theoretical framework to develop the focus group guide. Audio-recorded data were transcribed and thematically analyzed to identify common themes across the data set.

RESULTS

Seventeen patients participated in 4 focus groups. Findings were organized by the following themes: (1) perceived barriers to medication adherence, (2) everyday practices used to improve medication adherence, and (3) perceived benefits and barriers to technology use. Use of text messages seemed beneficial; however, not carrying a phone always was a significant barrier for patients. Some patients expressed willingness to try smartphone applications but stated that they would not be able to afford them. Changes in daily routine and complexity of medication regimens were seen as barriers to medication adherence.

CONCLUSIONS

Findings underscore the importance of considering diverse experiences when engaging patients in mHealth for medication adherence. Providing patient-centered approaches to assist patients construct their individualized medication adherence strategies may lead to better outcomes.

Mobile Health Intervention to Increase Oral Cancer Therapy Adherence in Patients With Chronic Myeloid Leukemia (The REMIND System): Clinical Feasibility and Acceptability Assessment

Background

Optimal dosing of oral tyrosine kinase inhibitor therapy is critical to treatment success and survival of patients with chronic myeloid leukemia (CML). Drug intolerance secondary to toxicities and nonadherence are significant factors in treatment failure.

Objective

The objective of this study was to develop and pilot-test the clinical feasibility and acceptability of a mobile health system (REMIND) to increase oral drug adherence and patient symptom self-management among people with CML (chronic phase).

Methods

A multifaceted intervention was iteratively developed using the intervention development framework by Schofield and Chambers, consisting of defining the patient problem and iteratively refining the intervention. The clinical feasibility and acceptability were examined via patient and intervention nurse interviews, which were audiotaped, transcribed, and deductively content analyzed.

Results

The intervention comprised 2 synergistically operating elements: (1) daily medication reminders and routine assessment of side effects with evidence-based self-care advice delivered in real time and (2) question prompt list (QPL) questions and routinely collected individual patient adherence and side effect profile data used to shape nurses’ consultations, which employed motivational interviewing to support adoption of self-management behaviors. A total of 4 consultations and daily alerts and advice were delivered over 10 weeks. In total, 58% (10/17) of patients and 2 nurses participated in the pilot study. Patients reported several benefits of the intervention: help in establishing medication routines, resolution of symptom uncertainty, increased awareness of self-care, and informed decision making. Nurses also endorsed the intervention: it assisted in establishing pill-taking routines and patients developing effective solutions to adherence challenges.

Conclusions

The REMIND system with nurse support was usable and acceptable to both patients and nurses. It has the potential to improve adherence and side-effect management and should be further evaluated.

Automated telecommunication interventions to promote adherence to cardio-metabolic medications: meta-analysis of effectiveness and meta-regression of behaviour change techniques

Automated telecommunication interventions, including short message service and interactive voice response, are increasingly being used to promote adherence to medications prescribed for cardio-metabolic conditions. This systematic review aimed to comprehensively assess the effectiveness of such interventions to support medication adherence, and to identify the behaviour change techniques (BCTs) and other intervention characteristics that are positively associated with greater intervention effectiveness. Meta-analysis of 17 randomised controlled trials showed a small but statistically significant effect on medication adherence, OR = 1.89, 95% CI [1.51, 2.36], I² = 89%, N = 25,101. Multivariable meta-regression analysis including eight BCTs explained 88% of the observed variance in effect size (ES). The BCTs 'tailored' and 'information about health consequences' were positively and significantly associated with ES. Future studies could explore whether the inclusion of these and/or additional techniques (e.g., 'implementation intentions') would increase the effect of automated telecommunication interventions, using rigorous designs and objective outcome measures.

Digital health behaviour change interventions targeting physical activity and diet in cancer survivors: a systematic review and meta-analysis

Purpose

The number of cancer survivors has risen substantially due to improvements in early diagnosis and treatment. Health behaviours such as physical activity (PA) and diet can reduce recurrence and mortality, and alleviate negative consequences of cancer and treatments. Digital behaviour change interventions (DBCIs) have the potential to reach large numbers of cancer survivors.

Methods

We conducted a systematic review and meta-analyses of relevant studies identified by a search of Medline, EMBASE, PubMed and CINAHL. Studies which assessed a DBCI with measures of PA, diet and/or sedentary behaviour were included.

Results

Fifteen studies were identified. Random effects meta-analyses showed significant improvements in moderate-vigorous PA (seven studies; mean difference (MD) = 41 min per week; 95% CI 12, 71) and body mass index (BMI)/weight (standardised mean difference (SMD) = −0.23; 95% CI −0.41, −0.05). There was a trend towards significance for reduced fatigue and no significant change in cancer-specific measures of quality of life (QoL). Narrative synthesis revealed mixed evidence for effects on diet, generic QoL measures and self-efficacy and no evidence of an effect on mental health. Two studies suggested improved sleep quality.

Conclusions

DBCIs may improve PA and BMI among cancer survivors, and there is mixed evidence for diet. The number of included studies is small, and risk of bias and heterogeneity was high. Future research should address these limitations with large, high-quality RCTs, with objective measures of PA and sedentary time.

Implications for cancer survivors

Digital technologies offer a promising approach to encourage health behaviour change among cancer survivors.

Electronic supplementary material

The online version of this article (doi:10.1007/s11764-017-0632-1) contains supplementary material, which is available to authorized users.

Electronic Communication of Protected Health Information: Privacy, Security, and HIPAA Compliance

PURPOSE

Technology has enhanced modern health care delivery, particularly through accessibility to health information and ease of communication with tools like mobile device messaging (texting). However, text messaging has created new risks for breach of protected health information (PHI). In the current study, we sought to evaluate hand surgeons' knowledge and compliance with privacy and security standards for electronic communication by text message.

METHODS

A cross-sectional survey of the American Society for Surgery of the Hand membership was conducted in March and April 2016. Descriptive and inferential statistical analyses were performed of composite results as well as relevant subgroup analyses.

RESULTS

A total of 409 responses were obtained (11% response rate). Although 63% of surgeons reported that they believe that text messaging does not meet Health Insurance Portability and Accountability Act of 1996 security standards, only 37% reported they do not use text messages to communicate PHI. Younger surgeons and respondents who believed that their texting was compliant were statistically significantly more like to report messaging of PHI (odds ratio, 1.59 and 1.22, respectively).

DISCUSSION

A majority of hand surgeons in this study reported the use of text messaging to communicate PHI. Of note, neither the Health Insurance Portability and Accountability Act of 1996 statute nor US Department of Health and Human Services specifically prohibits this form of electronic communication. To be compliant, surgeons, practices, and institutions need to take reasonable security precautions to prevent breach of privacy with electronic communication.

CLINICAL RELEVANCE

Communication of clinical information by text message is not prohibited under Health Insurance Portability and Accountability Act of 1996, but surgeons should use appropriate safeguards to prevent breach when using this form of communication.

Text Messaging and Mobile Phone Apps as Interventions to Improve Adherence in Adolescents With Chronic Health Conditions: A Systematic Review

BACKGROUND

The number of adolescents with chronic health conditions (CHCs) continues to increase. Medication nonadherence is a global challenge among adolescents across chronic conditions and is associated with poor health outcomes. While there has been growing interest in the use of mHealth technology to improve medication adherence among adolescents with CHCs, particularly text messaging and mobile phone apps, there has been no prior systematic review of their efficacy.

OBJECTIVE

The purpose of this review was to systematically evaluate the most recent evidence for the efficacy of text messaging and mobile phone apps as interventions to promote medication adherence among adolescents with CHCs.

METHODS

PubMed, Embase, CENTRAL, PsycINFO, Web of Science, Google Scholar, and additional databases were searched from 1995 until November 2015. An additional hand search of related themes in the Journal of Medical Internet Research was also conducted. The Preferred Reporting Results of Systematic Reviews and Meta-Analyses guidelines were followed. Two reviewers independently screened titles/abstracts, assessed full-text articles, extracted data from included articles, and assessed their quality using Grades of Recommendation, Assessment, Development, and Evaluation criteria. Included studies were described in original research articles that targeted adherence in adolescents with CHCs (12-24 years-old).

RESULTS

Of the 1423 records examined, 15 met predefined criteria: text messaging (n=12) and mobile phone apps (n=3). Most studies were performed in the United States (11/15, 73%), were randomized-controlled trials (8/15, 53%), had a sample size <50 (11/15, 73%), and included adherence self-report and/or biomarkers (9/15, 60%). Only four studies were designed based on a theoretical framework. Approaches for text messaging and mobile phone app interventions varied across studies. Seven articles (7/15, 47%) reported significant improvement in adherence with moderate to large standardized mean differences. Most of the included studies were of low or moderate quality. Studies varied in sample size, methods of adherence assessment, and definition of adherence, which prohibited performing a meta-analysis.

CONCLUSIONS

The use of text messaging and mobile phone app interventions to improve medication adherence among adolescents with CHCs has shown promising feasibility and acceptability, and there is modest evidence to support the efficacy of these interventions. Further evaluation of short- and long-term efficacy and cost-effectiveness of these interventions is warranted given the early and evolving state of the science.

A dual-process view on medication adherence: The role of affect

Medication non-adherence has been recognised as one of the major problems in health care that leads to preventable costs and hospitalisations. This study aimed to assess the role of affect in medication adherence. We propose a dual-process framework of medication adherence based on the reflective-impulsive model, which includes both cognitive and affective processes. We tested this framework in a cross-sectional study (N = 525). The results supported this framework by illustrating the clear role of both cognitive and affective processes.