Effectiveness of Digital Medicines to Improve Clinical Outcomes in Patients with Uncontrolled Hypertension and Type 2 Diabetes: Prospective, Open-Label, Cluster-Randomized Pilot Clinical Trial

Perception of the Progressing Digitization and Transformation of the German Health Care System Among Experts and the Public: Mixed Methods Study

Background

Health care systems worldwide are struggling to keep rising costs at bay with only modest outcome improvement among many diseases. Digitization with technologies like Artificial Intelligence or Machine Learning algorithms might address this. Although digital technologies have been successfully applied in clinical studies the effect on the overall health care system so far was limited. The regulatory ecosystem or data privacy might be responsible, but other reasons may also predominate.

Objective

We analyzed how the digitization of the German health care market is currently perceived among different stakeholders and investigated reasons for its slow adaption.

Methods

This was a mixed methods study split into a qualitative Part A using the conceptual approach of the Grounded Theory and a quantitative Part B using the Delphi method. For Part A we interviewed experts in the health care system and converted the results into 17 hypotheses. The Delphi method consisted of an online survey which was sent to the participants via email and was available for three months. For the assessment of the 17 hypotheses, the participants were given a six-point Likert scale. The participants were grouped into patients, physicians, and providers of services within the German health care market.

Results

There was a strong alignment of opinions on the hypotheses between experts (N=21) and survey participants (N=733), with 70.5% overall agreement on 12/17 hypotheses. Physicians demonstrated the lowest level of agreement with the expert panel at 88% (15/17) disagreement, with the hypotheses “H8: Digitization in the health care system will free up jobs,” and “H6: Digitization in the health care system will empower the patients,” perceived to be in profound disagreement (P=.036 and P<.001, respectively).

Conclusions

Despite the firm agreement among participants and experts regarding the impact of digitization on the health care system, physicians demonstrated a more negative attitude. We assume that this might be a factor contributing to the slow adoption of digitization in practice. Physicians might be struggling with changing power structures, so future measures to transform the market should involve them to a larger degree.

The role of medical smartphone apps in clinical decision-support: A literature review

INTRODUCTION

The now ubiquitous smartphone has huge potential to assist clinical decision-making across the globe. However, the rapid pace of digitalisation contrasts starkly with the slower rate of medical research and publication. This review explores the evidence base that exists to validate and evaluate the use of medical decision-support apps. The resultant findings will inform appropriate and pragmatic evaluation strategies for future clinical app developers and provide a scientific and cultural context for research priorities in this field.

METHOD

Medline, Embase and Cochrane databases were searched for clinical trials concerning decision support and smart phones from 2007 (introduction of first smartphone iPhone) until January 2019.

RESULTS

Following exclusions, 48 trials and one Cochrane review were included for final analysis. Whilst diagnostic accuracy studies are plentiful, clinical trials are scarce. App research methodology was further interrogated according to setting and decision-support modality: e.g. camera-based, guideline-based, predictive models. Description of app development pathways and regulation were highly varied. Global health emerged as an early adopter of decision-support apps and this field is leading implementation and evaluation.

CONCLUSION

Clinical decision-support apps have considerable potential to enhance access to care and quality of care, but the medical community must rise to the challenge of modernising its approach if it is truly committed to capitalising on the opportunities of digitalisation.

Interactive Mobile Health Intervention and Blood Pressure Management in Adults

Despite the availability of effective drugs, blood pressure (BP) control remains poor among most populations. To explore the effects of interactive mobile health (mhealth) intervention on BP management and find out the optimal target population, we performed a systematic review and meta-analysis of randomized controlled trials to estimate the pooled effects of mhealth intervention on BP control. PubMed, EMBASE, Cochrane Library, and CNKI were searched to identify eligible randomized controlled trials published between January 15, 2007 and April 28, 2019, and bibliographies of eligible articles were further reviewed. Random-effect models were utilized to pool estimates of net changes in systolic BP and diastolic BP between mhealth intervention group and control group. Eleven randomized controlled trials met the inclusion criteria, with a total sample size of 4271 participants. Compared with the control group, mhealth intervention was associated with significant changes in systolic BP and diastolic BP of -3.85 mm Hg; 95% CI, -4.74 to -2.96 and -2.19 mm Hg; 95% CI, -3.16 to -1.23, respectively. Subgroup analyses revealed consistent effects across study duration and intervention intensity subgroups. In addition, participants with inadequate BP control at recruitment might gain more benefits with mhealth intervention. Therefore, interactive mhealth intervention may be a useful tool for improving BP control among adults, especially among those with inadequate BP control.

The Feasibility of a Using a Smart Button Mobile Health System to Self-Track Medication Adherence and Deliver Tailored Short Message Service Text Message Feedback

BACKGROUND

As many as 50% of people experience medication nonadherence, yet studies for detecting nonadherence and delivering real-time interventions to improve adherence are lacking. Mobile health (mHealth) technologies show promise to track and support medication adherence.

OBJECTIVE

The study aimed to evaluate the feasibility and acceptability of using an mHealth system for medication adherence tracking and intervention delivery. The mHealth system comprises a smart button device to self-track medication taking, a companion smartphone app, a computer algorithm used to determine adherence and then deliver a standard or tailored SMS (short message service) text message on the basis of timing of medication taking. Standard SMS text messages indicated that the smartphone app registered the button press, whereas tailored SMS text messages encouraged habit formation and systems thinking on the basis of the timing the medications were taken.

METHODS

A convenience sample of 5 adults with chronic kidney disease (CKD), who were prescribed antihypertensive medication, participated in a 52-day longitudinal study. The study was conducted in 3 phases, with a standard SMS text message sent in phases 1 (study days 1-14) and 3 (study days 46-52) and tailored SMS text messages sent during phase 2 (study days 15-45) in response to participant medication self-tracking. Medication adherence was measured using: (1) the smart button and (2) electronic medication monitoring caps. Concordance between these 2 methods was evaluated using percentage of measurements made on the same day and occurring within ±5 min of one another. Acceptability was evaluated using qualitative feedback from participants.

RESULTS

A total of 5 patients with CKD, stages 1-4, were enrolled in the study, with the majority being men (60%), white (80%), and Hispanic/Latino (40%) of middle age (52.6 years, SD 22.49; range 20-70). The mHealth system was successfully initiated in the clinic setting for all enrolled participants. Of the expected 260 data points, 36.5% (n=95) were recorded with the smart button and 76.2% (n=198) with electronic monitoring. Concordant events (n=94), in which events were recorded with both the smart button and electronic monitoring, occurred 47% of the time and 58% of these events occurred within ±5 min of one another. Participant comments suggested SMS text messages were encouraging.

CONCLUSIONS

It was feasible to recruit participants in the clinic setting for an mHealth study, and our system was successfully initiated for all enrolled participants. The smart button is an innovative way to self-report adherence data, including date and timing of medication taking, which were not previously available from measures that rely on recall of adherence. Although the selected smart button had poor concordance with electronic monitoring caps, participants were willing to use it to self-track medication adherence, and they found the mHealth system acceptable to use in most cases.

The Impact of Treatment Adherence for Patients With Diabetes and Hypertension on Cardiovascular Disease Risk: Protocol for a Retrospective Cohort Study, 2008-2018

Background

Cardiovascular disease (CVD) is the leading cause of death globally and in Canada. Diabetes and hypertension are major risk factors for CVD events. Despite the increasing availability of effective treatments, the majority of diabetic and hypertensive patients do not have adequate blood pressure and glycemic control. One of the major contributors is poor treatment adherence.

Objective

This study aims to evaluate the impact of treatment adherence for patients with both diabetes and hypertension on acute severe CVD events and intermediate clinical outcomes in Canadian primary care settings.

Methods

We will conduct a population-based retrospective cohort study of patients living with both diabetes and hypertension in Ontario, Canada, between January 1, 2008, and March 31, 2018. The Social Cognitive Theory will be used as a conceptual framework by which to frame the reciprocal relationship between treatment adherence, personal factors, and environmental determinants and how this interplay impacts CVD events and clinical outcomes. Data will be derived from the Diabetes Action Canada National Data Repository. A time-varying Cox proportional hazards model will be used to estimate the impacts of treatment adherence on CVD morbidity and mortality. Multivariable linear regression models and hierarchical regression models will be used to estimate the associations between treatment adherence of different medication categories and intermediate clinical outcomes. Our primary outcome is the association between treatment adherence and the risk of acute severe CVD events, including CVD mortality. The secondary outcome is the association between treatment adherence and intermediate clinical outcomes including diastolic and systolic blood pressures, glycated hemoglobin, low-density lipoprotein cholesterol, and total cholesterol. Owing to data limitation, we use medication prescriptions as a proxy to estimate treatment adherence. We assume that a patient adhered to medications if she or he had any prescription record in the 4 preceding quarters and 1 quarter after each quarter of interest. Acute severe CVD events are defined based on the World Health Organization’s Monitoring Trends and Determinants in Cardiovascular Disease Project, including acute coronary heart disease, stroke, and heart failure. As causes of death are not available, the number of CVD deaths will be computed using the most recent systolic blood pressure distributions and the population attributable risks related to systolic blood pressure level.

Results

The project was funded by Diabetes Action Canada (reference number: 503854) and approved by the University of Toronto Research Ethics Board (reference number: 36065). The project started in June 2018 and is expected to be finished by September 2019.

Conclusions

The findings will be helpful in identifying the challenges of treatment adherence for diabetic and hypertensive patients in primary care settings. This will also help to develop intervention strategies to promote treatment adherence for patients with multi-morbidities.

International Registered Report Identifier (IRRID)

DERR1-10.2196/13571

Impact of a Culturally Tailored mHealth Medication Regimen Self-Management Program upon Blood Pressure among Hypertensive Hispanic Adults

Background: Uncontrolled hypertension (HTN) and medication nonadherence are more prominent among Hispanics compared to non-Hispanic whites and African Americans. Advances in wireless health technology enable real-time monitoring of medication adherence (MA) and blood pressure (BP), facilitating timely patient–provider communication including tailored reinforcement/motivational feedback to patients and quicker titration changes by providers. The purpose of the current study was to conduct a 9-month smartphone-enabled efficacy trial addressing MA and BP control among Hispanic adults with uncontrolled HTN and poor MA. Methods: The research design was a 9-month, two-arm efficacy trial including an experimental (Smartphone Med Adherence Stops Hypertension, SMASH) group and an enhanced standard care (ESC) group. SMASH participants utilized a SMASH app which interfaced with a Bluetooth-enabled BP monitor for BP self-monitoring and an electronic medication tray. The ESC participants received text messages including links to PDFs and brief video clips containing healthy lifestyle tips for attention control. Results: Participants were 54 Hispanic adults (mean age: 46.5 years) with uncontrolled HTN. They were randomly assigned to either the SMASH (n = 26) or ESC group (n = 28). At baseline, no participants had controlled systolic BP (SBP). Baseline group averages for SBP between the SC and SMASH groups did not differ (150.7 and 152.3 mmHg, respectively; p = 0.53). At the 1, 3, 6, and 9-month time points, SBP averages were significantly lower in the SMASH versus SC groups (month 1: 125.3 vs. 140.6; month 3: 120.4 vs. 137.5, month 6: 121.2 vs. 145.7 mmHg; month 9: 121.8 vs. 145.7, respectively; all p-values <0.01). At months 3, 6, and 9 there was a significant difference between the percentage of participants meeting the 7th Joint National Committee cutoffs for SBP control in the SC and SMASH groups (month 3: 62.5 vs. 92.0%; month 6: 57.9 and 94.4%, month 9: 27.8 and 92.3%, respectively; all p-values ≤0.01). Average medical regimen adherence, as indicated by timestamped medication intake and BP monitoring for the SMASH group, ranged from 89.1 to 95.2% across the 9-month trial. Conclusion: Our findings indicate that our culturally tailored smartphone-enabled medical regimen self-management program may be an effective solution for the promotion of MA, resulting in statistically and clinically significant reductions in SBP among Hispanic adults with uncontrolled HTN.

Provider- and Patient-Related Barriers to and Facilitators of Digital Health Technology Adoption for Hypertension Management: Scoping Review

Background

The uptake of digital health technology (DHT) has been surprisingly low in clinical practice. Despite showing great promise to improve patient outcomes and disease management, there is limited information on the factors that contribute to the limited adoption of DHT, particularly for hypertension management.

Objective

This scoping review provides a comprehensive summary of barriers to and facilitators of DHT adoption for hypertension management reported in the published literature with a focus on provider- and patient-related barriers and facilitators.

Methods

This review followed the methodological framework developed by Arskey and O’Malley. Systematic literature searches were conducted on PubMed or Medical Literature Analysis and Retrieval System Online, Cumulative Index to Nursing and Allied Health Literature, and Excerpta Medica database. Articles that reported on barriers to and/or facilitators of digital health adoption for hypertension management published in English between 2008 and 2017 were eligible. Studies not reporting on barriers or facilitators to DHT adoption for management of hypertension were excluded. A total of 2299 articles were identified based on the above criteria after removing duplicates, and they were assessed for eligibility. Of these, 2165 references did not meet the inclusion criteria. After assessing 134 studies in full text, 98 studies were excluded (full texts were either unavailable or studies did not fulfill the inclusion criteria), resulting in a final set of 32 articles. In addition, 4 handpicked articles were also included in the review, making it a total of 36 studies.

Results

A total of 36 studies were selected for data extraction after abstract and full-text screening by 2 independent reviewers. All conflicts were resolved by a third reviewer. Thematic analysis was conducted to identify major themes pertaining to barriers and facilitators of DHT from both provider and patient perspectives. The key facilitators of DHT adoption by physicians that were identified include ease of integration with clinical workflow, improvement in patient outcomes, and technology usability and technical support. Technology usability and timely technical support improved self-management and patient experience, and positive impact on patient-provider communication were most frequently reported facilitators for patients. Barriers to use of DHTs reported by physicians include lack of integration with clinical workflow, lack of validation of technology, and lack of technology usability and technical support. Finally, lack of technology usability and technical support, interference with patient-provider relationship, and lack of validation of technology were the most commonly reported barriers by patients.

Conclusions

Findings suggest the settings and context in which DHTs are implemented and individuals involved in implementation influence adoption. Finally, to fully realize the potential of digitally enabled hypertension management, there is a greater need to validate these technologies to provide patients and providers with reliable and accurate information on both clinical outcomes and cost effectiveness.

Evaluating digital medicine ingestion data from seriously mentally ill patients with a Bayesian Hybrid Model

The objective of this work was to adapt and evaluate the performance of a Bayesian hybrid model to characterize objective temporal medication ingestion parameters from two clinical studies in patients with serious mental illness (SMI) receiving treatment with a digital medicine system. This system provides a signal from an ingested sensor contained in the dosage form to a patient-worn patch and transmits this signal via the patient’s mobile device. A previously developed hybrid Markov-von Mises model was used to obtain maximum-likelihood estimates for medication ingestion behavior parameters for individual patients. The individual parameter estimates were modeled to obtain distribution parameters of priors implemented in a Markov chain-Monte Carlo framework. Clinical and demographic covariates associated with model ingestion parameters were also assessed. We obtained individual estimates of overall observed ingestion percent (median:75.9%, range:18.2–98.3%, IQR:32.9%), rate of excess dosing events (median:0%, range:0–14.3%, IQR:3.0%) and observed ingestion duration. The modeling also provided estimates of the Markov-dependence probabilities of dosing success following a dosing success or failure. The ingestion-timing deviations were modeled with the von Mises distribution. A subset of 17 patients (22.1%) were identified as prompt correctors based on Markov-dependence probability of a dosing failure followed by a dosing success of unity. The prompt corrector sub-group had a better overall digital medicine ingestion parameter profile compared to those who were not prompt correctors. Our results demonstrate the potential utility of a Bayesian Hybrid Markov-von Mises model for characterizing digital medicine ingestion patterns in patients with SMI.

Connected drug delivery devices to complement drug treatments: potential to facilitate disease management in home setting

Connected drug delivery devices are increasingly being developed to support patient supervision and counseling in home setting. Features may include dosing reminders, adherence trackers, tools for patient education, and patient diaries to collect patient-reported outcomes, as well as monitoring tools with interfaces between patients and health care professionals (HCPs). Five connected devices have been selected as the basis for a review of the clinical evidence concerning the impact of electronic tools on treatment adherence and efficacy outcomes. Disease areas covered include multiple sclerosis, diabetes, hypertension, liver and renal transplant recipients, tuberculosis, hepatitis C, clinically isolated syndrome, asthma, and COPD. From studies comparing the use of electronic feedback tools to standard of care, there is an initial evidence for a higher adherence to treatment and better outcomes among patients who use the electronic tools. To substantiate the assumption that connected devices can improve adherence in an outpatient setting over a prolonged period of time, further data from controlled randomized studies are required. Key barriers to the broader adoption of connected devices include data privacy laws that may prevent data sharing with HCPs in some countries, as well as the need to demonstrate that the tools are consistently used and generate a high-quality and reproducible database. If these challenges can be addressed in a way that is agreeable to all stakeholders, it is expected that the future value of connected devices will be to 1) facilitate and improve patient involvement in disease management in a flexible care setting, 2) enable early treatment decisions, and 3) complement value-based reimbursement models.

The global burden of multiple chronic conditions: A narrative review

Globally, approximately one in three of all adults suffer from multiple chronic conditions (MCCs). This review provides a comprehensive overview of the resulting epidemiological, economic and patient burden. There is no agreed taxonomy for MCCs, with several terms used interchangeably and no agreed definition, resulting in up to three-fold variation in prevalence rates: from 16% to 58% in UK studies, 26% in US studies and 9.4% in Urban South Asians. Certain conditions cluster together more frequently than expected, with associations of up to three-fold, e.g. depression associated with stroke and with Alzheimer's disease, and communicable conditions such as TB and HIV/AIDS associated with diabetes and CVD, respectively. Clusters are important as they may be highly amenable to large improvements in health and cost outcomes through relatively simple shifts in healthcare delivery. Healthcare expenditures greatly increase, sometimes exponentially, with each additional chronic condition with greater specialist physician access, emergency department presentations and hospital admissions. The patient burden includes a deterioration of quality of life, out of pocket expenses, medication adherence, inability to work, symptom control and a high toll on carers. This high burden from MCCs is further projected to increase. Recommendations for interventions include reaching consensus on the taxonomy of MCC, greater emphasis on MCCs research, primary prevention to achieve compression of morbidity, a shift of health systems and policies towards a multiple-condition framework, changes in healthcare payment mechanisms to facilitate this change and shifts in health and epidemiological databases to include MCCs.

Beyond the reminder: The next steps in pharmacist-driven, mHealth patient engagement

OBJECTIVE

To describe opportunities for pharmacists to use mobile messaging and real-time monitoring to engage with patients taking long-term medications.

SUMMARY

The proliferation of mobile phone use across the United States has been met with increased application of these devices by the medical community. However, beyond simple text messages and app-based functions, use of these devices by pharmacies and pharmacists has not been leveraged to improve patient outcomes, such as medication adherence. Resources now exist that can facilitate more advanced mobile communication between patients and pharmacists, which can be managed and informed by data available in most pharmacies. Such tailored messaging can be personalized further by being reactive to patient behavior using real-time medication use monitoring tools, facilitating low-cost, high-reach interventions for patients in need of ongoing guidance.

CONCLUSION

Mechanisms now exist for pharmacies to engage patients more proactively with their prescribed therapy using mobile communication and devices. By facilitating such engagement, pharmacists can remain connected with patients throughout their care, better interpret their needs, navigate adherence-related issues, and more holistically counsel patients based on observed behaviors. Community pharmacy leadership should pursue the use of these advanced mobile messaging techniques as another tool in their arsenal to improve patient outcomes.

[The digital pill, between beneficence and vigilance: ethical stakes]

Since November 2017, the digital pill, which makes it possible to know whether a patient has achieved compliance or not with the treatment has become a reality. This drug can benefit the patients by helping them to better follow their treatment and avoid misuse. However, even though the use of this device requests patient consent, major questions arise regarding the respect for privacy and freedom of action. Evidently, the correct use of drugs is both a public health and economic issue, but through this digital tool, the temptation could be to implement measures to control citizens, in particular regarding the use of treatments that affect health expenditure. A too prescriptive conception of monitoring algorithms could alter the care relationship, denying the part of adaptation that a patient can legitimately claim in taking his treatment. The digital pill could be a helpful tool but it is necessary to evaluate its fair place in terms of respect for the person and adequacy with its liberties.

Observance et nouvelles technologies : nouveau regard sur une problématique ancienne

En médecine, l’un des intérêts des nouvelles techniques de l’information et de la communication réside dans l’efficacité et la sécurité des traitements, sans méconnaître le fait que tous les patients ne pourront pas bénéficier de ces techniques, faute de pouvoir les maîtriser.

Clinical inertia in the pharmacological management of hypertension: A systematic review and meta-analysis

BACKGROUND

Clinical Inertia is defined as "failure of health care providers to initiate or intensify therapy according to current guidelines". This phenomenon is gaining increasing attention as a major cause of clinicians' failure to adequately manage hypertension, thus leading to an increased incidence of cardiovascular events. We performed a systematic review and meta-analysis of randomized controlled trials to determine whether interventions aimed at reducing clinical inertia in the pharmacological treatment of hypertension improve blood pressure (BP) control.

METHODS

MEDLINE, Embase, and Cochrane Database of Systematic Reviews were searched from the start of their database until October 3, 2017 for the MESH terms "Hypertension" or "Blood Pressure", their subheadings, and the keywords "Therapeutic Inertia" or "Clinical Inertia". Studies were included if they addressed pharmacologic hypertension management, clinical inertia, were randomized controlled trials, reported an outcome describing prescriber behavior, and were available in English. Data for the included studies was extracted by two independent observers. Quality of studies was analyzed using the Cochrane Risk of Bias Assessment. Data was pooled for statistical analysis using both fixed- and random-effects models. The primary study outcome was the percentage of patients achieving blood pressure control as defined by the Joint National Committee guidelines or study authors.

RESULTS

Of 474 citations identified, ten met inclusion criteria comprising a total of 26,871 patients, and eight were selected for meta-analysis. Interventions included Physician Education, Physician Reminders, Patient Education, Patient Reminders, Ambulatory BP Monitoring, Digital Medication Offerings, Physician Peer Visits, and Pharmacist-led Counselling. Pooled event rates revealed more patients with controlled BP in the intervention group versus control (55%, 95% CI 46-63% versus 45%, 95% CI 37-53%) and interventions significantly improved the odds of BP control (OR = 1.19, 95% CI = 1.12-1.27, P < .001). Heterogeneity in the quantitative analysis was moderate.

CONCLUSIONS & RELEVANCE

Addressing clinical inertia through physician reminders, ambulatory BP monitoring, and educational interventions for primary care providers was associated with an improvement in blood pressure control. Our findings encourage further research to investigate strategies at reducing clinical inertia in the management of hypertension.

Can a digital medicine system improve adherence to antipsychotic treatment?

A substantial proportion of people with mental health conditions do not adhere to prescribed pharmacological treatments. Poor adherence is probably one of the most critical elements contributing to relapse in people with schizophrenia and other severe mental disorders. In order to tackle this global issue, in November 2017 the Food and Drug Administration approved a tablet formulation of the atypical antipsychotic aripiprazole embedded with a novel digital adherence-assessment device. In this commentary, we critically appraised the potential beneficial and harmful consequences of this new digital formulation of aripiprazole, and we highlighted expected implications for clinical practice.

The Best Digital Biomarkers Papers of 2017

The use and evaluation of digital biomarkers, objective and quantifiable measures of biology, and health collected through digital devices is growing rapidly. To highlight some of the most promising work in the field, we have compiled a list of the top digital biomarkers papers from the past year. Eligible papers reported on original research that evaluated a digital sensor (e.g., smartphone, wearable sensor, implantable device) in humans and was published in a peer-reviewed journal in 2017. Nominations were solicited from the editorial board of Digital Biomarkers and supplemented by papers the editorial team identified from Web of Science, Google Scholar, and PubMed. The editorial board then selected up to ten papers to be recognized among 28 nominations. Here, we present all of the nominated papers and profile the eight that received the most votes. The top eight papers evaluated 1,290 individuals with digital pills, smartwatches, wearable devices, and electronic inhalers in disease states ranging from dementia to diabetes and from Parkinson disease to pain.

Recent Approaches to Improve Medication Adherence in Patients with Coronary Heart Disease: Progress Towards a Learning Healthcare System

PURPOSE OF REVIEW

Non-adherence to medications for the secondary prevention of myocardial infarction (MI) is a major contributor to morbidity and mortality in these patients. This review describes recent advances in promoting adherence to therapies for coronary artery disease (CAD).

RECENT FINDINGS

Two large randomized controlled trials to "incentivize" adherence were somewhat disappointing; neither financial incentives nor "peer pressure" successfully increased rates of adherence in the post-MI population. Patient education and provider engagement appear to be critical aspects of improving adherence to CAD therapies, where the provider is a physician, pharmacist, or nurse and follow-up is performed in person or by telephone. Fixed-dose combinations of CAD medications, formulated as a so-called "polypill," have shown some early efficacy in increasing adherence. Technological advances that automate monitoring and/or encouragement of adherence are promising but seem universally dependent on patient engagement. For example, medication reminders via text message perform better if patients are required to respond. Multifaceted interventions, in which these and other interventions are combined together, appear to be most effective. There are several available types of proven interventions through which providers, and the health system at large, can advance patient adherence to CAD therapies. No single intervention to promote adherence will be successful in all patients. Further study of multifaceted interventions and the interactions between different interventions will be important to advancing the field. The goal is a learning healthcare system in which a network of interventions responds and adapts to patients' needs over time.

Treatment adherence among adult hypertensive patients: a cross-sectional retrospective study in primary care in Romania

PURPOSE

This study was performed to elucidate the level of adherence to antihypertensive treatment in adult subjects attending a family medicine clinic in a city in central Romania.

PATIENTS AND METHODS

A cross-sectional, retrospective study was performed on a cohort of hypertensive adults. A total of 525 participants were selected from 1,714 adults attending a single urban family medicine practice. Assessment of adherence to therapy was performed by a chart review of prescription and clinical records over a 4-year study period.

RESULTS

The results showed that 69.8% of the patients had high adherence (>80% with therapy); 20.3% had medium adherence (20%-79%); and 9.9% had low adherence (<20%). A positive association was found (p = 0.01) between low adherence and male gender. A significant positive association (p = 0.02) was found between total cardiovascular risk and level of adherence. We found that 54.7% of the high adherence subjects had well-controlled blood pressure, and chronic kidney disease was associated with high adherence to therapy (p = 0.03). Antihypertensive regimens administered as fixed-dose combinations were positively associated with high adherence (p = 0.001). Subjects who had their antihypertensive regimen adjusted to a new drug class during the study period showed enhanced adherence compared to subjects treated with an unchanged regimen (p = 0.001).

CONCLUSION

This is the first published study assessing adherence to antihypertensive therapy in family medicine practice in Romania. It presented data derived from a primarily urban setting and targeted a geographical area where the prevalence of hypertension has increased continuously. Female gender, age, presence of cardiovascular risk factors, defined cardiovascular disease, chronic renal impairment, and good control of hypertension were positively associated with high adherence. The results provide insights to guide further strategies to improve adherence and indirect methods for blood pressure management strategies.

Oxycodone Ingestion Patterns in Acute Fracture Pain With Digital Pills

BACKGROUND

Opioid analgesics are commonly prescribed on an as-needed (PRN) basis for acute painful conditions. Uncertainty of how patients actually take PRN opioids, coupled with a desire to completely cover pain, leads to variable and overly generous opioid prescribing practices, resulting in a surplus of opioids. This opioid surplus becomes a source for diversion and nonmedical opioid use. Understanding patterns of actual opioid ingestion after acute painful conditions can help clinicians counsel patients on safe opioid use, and allow timely recognition and intervention when escalating opioid self-dosing occurs, to prevent tolerance and addiction.

METHODS

We used a novel oxycodone digital pill system (ingestible biosensor within a standard gelatin capsule combined with 5-mg oxycodone) that when ingested, is activated by the chloride ion gradient in the stomach thereby emitting a radiofrequency signal captured by a wearable reader. The reader relays ingestion data to a cloud-based server that displays ingestion events to the study team. We deployed the oxycodone digital pill among opioid-naive individuals discharged from the emergency department with acute fracture pain. Participants were trained on digital pill operation and discharged with twenty-one 5-mg oxycodone digital pills. They were instructed to take digital pills PRN for pain on discharge. We conducted a brief interview 7 days after study enrollment, at which point participants returned the digital pill system. We identified oxycodone ingestion events in real time by data from the digital pill system and performed pill counts at the return visit to validate digital pill reporting of medication ingestion.

RESULTS

In this study, 26 individuals were approached; 16 enrolled with 15 completing the study. Participants ingested a median of 6 (3-9.5) oxycodone digital pills over the course of 7 days, with 82% of the oxycodone dose ingested in the first 3 days. In individuals who required operative repair, 86% (N = 6) continued to ingest opioids at 1 week. There was substantial variability in ingestion patterns between individuals.

CONCLUSIONS

The utilization patterns of individuals with acute fracture pain could be captured using a digital pill system and revealed a median opioid ingestion of 45-mg morphine equivalents for acute pain over 7 days. Seven participants ceased using opioids within 4 days after discharge from the emergency department, although operative repair was associated with longer use. This digital pill system was able to measure changes in and patterns of opioid self-dosing, which varied between patients.

Using Smart Technology to Improve Outcomes in Myocardial Infarction Patients: Rationale and Design of a Protocol for a Randomized Controlled Trial, The Box

Background

Recent evidence suggests that frequent monitoring using smartphone-compatible wearable technologies might improve clinical effectiveness and patient satisfaction of care.

Objective

The aim of this study is to investigate the clinical effectiveness and patient satisfaction of a smart technology intervention in patients admitted with a ST elevation myocardial infarction (STEMI) or non-ST acute coronary syndrome (NST-ACS).

Methods

In this single center, open, randomized controlled trial patients who suffered from STEMI or NST-ACS will be randomized 1:1 to an intervention group or control group. Both groups will be followed up to one year after the index event. The intervention group will take daily measurements with a smartphone-compatible electrocardiogram device, blood pressure (BP) monitor, weight scale, and activity tracker. Furthermore, two of four outpatient clinic visits will be replaced by electronic visits (1 and 6 months after index event). The control group will receive regular care, consisting of four outpatient clinic visits (1, 3, 6, and 12 months after index event). All patients will be asked to fill in validated questionnaires about patient satisfaction, quality of life, propensity of medication adherence, and physical activity.

Results

The primary outcome of this trial will be percentage of patients with controlled BP. Secondary outcomes include patient satisfaction, health care utilization, major adverse cardiac events, medication adherence, physical activity, quality of life, and percentage of patients in which a sustained arrhythmia is detected.

Conclusions

Smart technology could potentially improve care in postmyocardial infarction patients. This trial will investigate whether usage of smart technology can improve clinical- and cost-effectiveness of care.

Trial Registration

Clinicaltrials.gov NCT02976376; https://clinicaltrials.gov/ct2/show/NCT02976376 (Archived by WebCite at http://www.webcitation.org/6tcvAdbdH)

Metal substitutions incarbonic anhydrase: a halide ion probe study

Monitoring of the mental health status of the population and assessment of its determinants are 2 of the most relevant pillars of public mental health, and data from population health surveys could be instrumental to support them. Although these surveys could be an important and suitable resource for these purposes, due to different limitations and challenges, they are often relegated to the background behind other data sources, such as electronic health records. These limitations and challenges include those related to measurement properties and cross-cultural validity of the tools used for the assessment of mental disorders, their degree of representativeness, and possible difficulties in the linkage with other data sources. Successfully addressing these limitations could significantly increase the potential of health surveys in the monitoring of mental disorders and ultimately maximize the impact of the relevant policies to reduce their burden at the population level. The widespread use of data from population health surveys, ideally linked to electronic health records data, would enhance the quality of the information available for research, public mental health decision-making, and ultimately addressing the growing burden of mental disorders.