Enhancing Monitoring Performance: A Microservices Approach to Monitoring with Spyware Techniques and Prediction Models.

In today's digital landscape, organizations face significant challenges, including sensitive data leaks and the proliferation of hate speech, both of which can lead to severe consequences such as financial losses, reputational damage, and psychological impacts on employees. This work considers a comprehensive solution using a microservices architecture to monitor computer usage within organizations effectively. The approach incorporates spyware techniques to capture data from employee computers and a web application for alert management. The system detects data leaks, suspicious behaviors, and hate speech through efficient data capture and predictive modeling. Therefore, this paper presents a comparative performance analysis between Spring Boot and Quarkus, focusing on objective metrics and quantitative statistics. By utilizing recognized tools and benchmarks in the computer science community, the study provides an in-depth understanding of the performance differences between these two platforms. The implementation of Quarkus over Spring Boot demonstrated substantial improvements: memory usage was reduced by up to 80% and CPU usage by 95%, and system uptime decreased by 119%. This solution offers a robust framework for enhancing organizational security and mitigating potential threats through proactive monitoring and predictive analysis while also guiding developers and software architects in making informed technological choices.

Measurement of adherence to inhaled corticosteroids by self-report and electronic medication monitoring.

OBJECTIVE: Poor adherence to daily inhaled corticosteroids (ICS) is an important factor contributing to asthma morbidity. Assessing adherence in clinical settings using self-reported adherence often overestimates actual adherence. Electronic monitoring devices (EMDs) are objective means of assessing adherence, but are not routinely used in practice. Here, we aimed to establish adherence rates to ICS using EMDs in an inner-city, minority population in the Bronx, NY, and to compare two methods of self-reported adherence with EMD-measured adherence. METHODS: Patients with physician-confirmed persistent asthma and daily ICS prescription were recruited. Self-reported adherence to ICS was measured by parental report for children and self-report for adults and the Medication Adherence Report Scale for Asthma (MARS-A). Two weeks after enrollment, EMD data were accessed for analysis. Daily adherence was calculated based on the number of puffs actuated per day as captured by EMD divided by the prescribed number of puffs. RESULTS: 41 children and 40 adults participated. Median EMD-measured ICS adherence was 41% (children) and 43% (adults). This was significantly lower than the median self-reported adherence (100% for children, p < 0.001; 100% for adults, p < 0.001). MARS-A score in children did not correlate with EMD adherence data (p = 0.18), while in adults, this correlation tended to be more consistent (p = 0.07). CONCLUSIONS: Adherence to daily ICS as measured using EMD is low in this population. In both adults and children, self-reported adherence was a poor indicator of true adherence. Further efforts using objective measures of medication adherence for patients with high asthma morbidity may be warranted to guide therapeutic decisions.

Impact of hydroxyurea dose and adherence on hematologic outcomes for children with sickle cell anemia.

BACKGROUND: Hydroxyurea is the primary treatment for sickle cell anemia (SCA), yet real-world implementation in high-income settings is suboptimal. Variation in prescribed hydroxyurea dose and patient adherence in these settings can both affect actual exposure to hydroxyurea. Quantifying the contributions of hydroxyurea dose and medication adherence to the relationship between hydroxyurea exposure and hematologic parameters could inform strategies to optimize exposure and improve outcomes. PROCEDURE: We evaluated the relationship between hydroxyurea exposure, defined by average prescribed dose and adherence, and hematologic parameters using data from children with SCA who were enrolled in two prospective hydroxyurea adherence studies. Hydroxyurea adherence was assessed by video directly observed therapy or electronic pill bottle and medication administration record. Average prescribed dose was abstracted from prescriptions in patients' electronic medical record. Participants with a hydroxyurea exposure >20 mg/kg/day and ≤20 mg/kg/day were included in the higher and lower exposure groups, respectively. RESULTS: Forty-five participants were included in the analysis (56% male; median age 12 years [range 2-19]; 98% Black). Higher exposed participants (n = 23) were prescribed a higher dose (27.2 vs. 24.4 mg/kg/day, p = .002) and had better adherence (0.92 vs. 0.71, p ≤ .001) compared to lower exposed participants (n = 22). Higher exposure was associated with higher fetal hemoglobin (p = .04) and mean corpuscular volume (p = .02). CONCLUSIONS: Higher hydroxyurea exposure is associated with improved hematologic parameters in the high-income setting and is affected by both prescribed dose and adherence. Future studies are needed to optimize both adherence and hydroxyurea prescribing and confirm that increasing exposure improves clinical outcomes in this setting.

Association Between Hospital Outbreaks and Hand Hygiene: Insights from Electronic Monitoring.

BACKGROUND: Hand hygiene (HH) is an important patient safety measure linked to the prevention of health care-associated infection, yet how outbreaks affect HH performance has not been formally evaluated. METHODS: A controlled, interrupted time series was performed across 5 acute-care academic hospitals using group electronic monitoring. This system captures 100% of all hand sanitizer and soap dispenser activations via a wireless signal to a wireless hub; the number of activations is divided by a previously validated estimate of the number of daily HH opportunities per patient bed, multiplied by the hourly census of patients on the unit. Daily HH adherence 60 days prior and 90 days following outbreaks on inpatient units was compared to control units not in outbreaks over the same period, using a Poisson regression model adjusting for correlations within hospitals and units. Predictors of HH improvement were assessed in this multivariate model. RESULTS: In the 60 days prior to outbreaks, units destined for outbreaks had significantly lower HH adherence compared to control units (incidence rate ratio [IRR], 0.91; 95% confidence interval [CI], .90-.93; P < .0001). Following an outbreak, the HH adherence among the outbreak units increased above that of the controls (IRR, 1.04; 95% CI, 1.02-1.06; P < .0001). Greater improvements were noted for outbreaks on surgical units, for outbreaks involving antibiotic-resistant organisms and enteric pathogens, and in those outbreaks where health-care workers became ill. CONCLUSIONS: Hospital outbreaks tend to occur in units with lower HH adherence and are associated with rapid improvements in HH performance. Group electronic monitoring of HH could be used to develop novel, prospective feedback interventions designed to avert hospital outbreaks.

Medication adherence in older people with rheumatoid arthritis is lower according to electronic monitoring than according to pill count.

OBJECTIVES: Suboptimal medication adherence is a serious problem in the treatment of chronic inflammatory diseases. To measure medication adherence, electronic monitoring is regarded as superior to pill count. GLORIA is an ongoing two-year trial on the addition of low-dose (5 mg/d) prednisolone or placebo to standard care in older people (65+ years) with RA. During the entire trial, adherence is measured with electronic caps, and with pill counts. The objective is to describe medication adherence patterns, and to compare the adherence results of the two methods. METHODS: The recorded adherence patterns of patients (blinded for treatment group) were classified according to descriptive categories. The cutoff for good adherence was set at 80% of prescribed pills taken. RESULTS: Trial inclusion closed in 2018 at 451 patients, but trial follow-up is ongoing; the current dataset contains adherence data of 371 patients. Mean number of recorded 90-day periods per patient was 4 (range 1-8). Based on pill count over all periods, 90% of the patients had good adherence; based on cap data, only 20%. Cap data classified 30% of patients as non-user (<20% of days an opening) and 40% as irregular user (different adherence patterns, in or between periods). CONCLUSION: In our trial of older people with RA, the majority appeared to be adherent to medication according to pill count. Results from caps conflicted with those of pill counts, with patterns suggesting patients did not use the bottle for daily dispensing, despite specific advice to do so. TRIAL REGISTRATION: NCT02585258. ClinicalTrials.gov (https://www.clinicaltrials.gov/).

TEOS: A framework for constructing operational definitions of medication adherence based on Timelines-Events-Objectives-Sources.

AIMS: Managing adherence to medications is a priority for health systems worldwide. Adherence research is accumulating, yet the quality of the evidence is reduced by various methodological limitations. In particular, the heterogeneity and low accuracy of adherence measures have been highlighted in many literature reviews. Recent consensus-based guidelines advise on best practices in defining adherence (ABC) and reporting of empirical studies (EMERGE). While these guidelines highlight the importance of operational definitions in adherence measurement, such definitions are rarely included in study reports. To support researchers in their measurement decisions, we developed a structured approach to formulate operational definitions of adherence. METHODS: A group of adherence and research methodology experts used theoretical, methodological and practical considerations to examine the process of applying adherence definitions to various research settings, questions and data sources. Consensus was reached through iterative review of discussion summaries and framework versions. RESULTS: We introduce TEOS, a four-component framework to guide the operationalization of adherence concepts: (1) describe treatment as four simultaneous interdependent timelines (recommended and actual use, conditional on prescribing and dispensing); (2) locate four key events along these timelines to delimit the three ABC phases (first and last recommended use, first and last actual use); (3) revisit study objectives and design to fine-tune research questions and assess measurement validity and reliability needs, and (4) select data sources (e.g., electronic monitoring, self-report, electronic healthcare databases) that best address measurement needs. CONCLUSION: Using the TEOS framework when designing research and reporting explicitly on these components can improve measurement quality.

Early identification of acute kidney injury in the ICU with real-time urine output monitoring: a clinical investigation.

BACKGROUND: KDIGO (Kidney Disease: Improving Global Outcomes) provides two sets of criteria to identify and classify acute kidney injury (AKI): serum creatinine (SCr) and urine output (UO). Inconsistencies in the application of KDIGO UO criteria, as well as collecting and classifying UO data, have prevented an accurate assessment of the role this easily available biomarker can play in the early identification of AKI. STUDY GOAL: To assess and compare the performance of the two KDIGO criteria (SCr and UO) for identification of AKI in the intensive care unit (ICU) by comparing the standard SCr criteria to consistent, real-time, consecutive, electronic urine output measurements. METHODS: Ninety five catheterized patients in the General ICU (GICU) of Hadassah Medical Center, Israel, were connected to the RenalSense™ Clarity RMS™ device to automatically monitor UO electronically (UOelec). UOelec and SCr were recorded for 24-48 h and up to 1 week, respectively, after ICU admission. RESULTS: Real-time consecutive UO measurements identified significantly more AKI patients than SCr in the patient population, 57.9% (N = 55) versus 26.4% (N = 25), respectively (P < 0.0001). In 20 patients that had AKI according to both criteria, time to AKI identification was significantly earlier using the UOelec criteria as compared to the SCr criteria (P < 0.0001). Among this population, the median (interquartile range (IQR)) identification time of AKI UOelec was 12.75 (8.75, 26.25) hours from ICU admission versus 39.06 (25.8, 108.64) hours for AKI SCr. CONCLUSION: Application of KDIGO criteria for AKI using continuous electronic monitoring of UO identifies more AKI patients, and identifies them earlier, than using the SCr criteria alone. This can enable the clinician to set protocol goals for earlier intervention for the prevention or treatment of AKI.

Design and Implementation of a Real-time Monitoring Platform for Optimal Sepsis Care in an Emergency Department: Observational Cohort Study.

BACKGROUND: Sepsis is the leading cause of death in US hospitals. Compliance with bundled care, specifically serial lactates, blood cultures, and antibiotics, improves outcomes but is often delayed or missed altogether in a busy practice environment. OBJECTIVE: This study aims to design, implement, and validate a novel monitoring and alerting platform that provides real-time feedback to frontline emergency department (ED) providers regarding adherence to bundled care. METHODS: This single-center, prospective, observational study was conducted in three phases: the design and technical development phase to build an initial version of the platform; the pilot phase to test and refine the platform in the clinical setting; and the postpilot rollout phase to fully implement the study intervention. RESULTS: During the design and technical development, study team members and stakeholders identified the criteria for patient inclusion, selected bundle measures from the Center for Medicare and Medicaid Sepsis Core Measure for alerting, and defined alert thresholds, message content, delivery mechanisms, and recipients. Additional refinements were made based on 70 provider survey results during the pilot phase, including removing alerts for vasopressor initiation and modifying text in the pages to facilitate patient identification. During the 48 days of the postpilot rollout phase, 15,770 ED encounters were tracked and 711 patient encounters were included in the active monitoring cohort. In total, 634 pages were sent at a rate of 0.98 per attending physician shift. Overall, 38.3% (272/711) patients had at least one page. The missing bundle elements that triggered alerts included: antibiotics 41.6% (136/327), repeat lactate 32.4% (106/327), blood cultures 20.8% (68/327), and initial lactate 5.2% (17/327). Of the missing Sepsis Core Measures elements for which a page was sent, 38.2% (125/327) were successfully completed on time. CONCLUSIONS: A real-time sepsis care monitoring and alerting platform was created for the ED environment. The high proportion of patients with at least one alert suggested the significant potential for such a platform to improve care, whereas the overall number of alerts per clinician suggested a low risk of alarm fatigue. The study intervention warrants a more rigorous evaluation to ensure that the added alerts lead to better outcomes for patients with sepsis.

Electronic Monitoring Systems for Hand Hygiene: Systematic Review of Technology.

BACKGROUND: Hand hygiene is one of the most effective ways of preventing health care-associated infections and reducing their transmission. Owing to recent advances in sensing technologies, electronic hand hygiene monitoring systems have been integrated into the daily routines of health care workers to measure their hand hygiene compliance and quality. OBJECTIVE: This review aims to summarize the latest technologies adopted in electronic hand hygiene monitoring systems and discuss the capabilities and limitations of these systems. METHODS: A systematic search of PubMed, ACM Digital Library, and IEEE Xplore Digital Library was performed following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Studies were initially screened and assessed independently by the 2 authors, and disagreements between them were further summarized and resolved by discussion with the senior author. RESULTS: In total, 1035 publications were retrieved by the search queries; of the 1035 papers, 89 (8.60%) fulfilled the eligibility criteria and were retained for review. In summary, 73 studies used electronic monitoring systems to monitor hand hygiene compliance, including application-assisted direct observation (5/73, 7%), camera-assisted observation (10/73, 14%), sensor-assisted observation (29/73, 40%), and real-time locating system (32/73, 44%). A total of 21 studies evaluated hand hygiene quality, consisting of compliance with the World Health Organization 6-step hand hygiene techniques (14/21, 67%) and surface coverage or illumination reduction of fluorescent substances (7/21, 33%). CONCLUSIONS: Electronic hand hygiene monitoring systems face issues of accuracy, data integration, privacy and confidentiality, usability, associated costs, and infrastructure improvements. Moreover, this review found that standardized measurement tools to evaluate system performance are lacking; thus, future research is needed to establish standardized metrics to measure system performance differences among electronic hand hygiene monitoring systems. Furthermore, with sensing technologies and algorithms continually advancing, more research is needed on their implementation to improve system performance and address other hand hygiene-related issues.

Insights Into Direct Oral Anticoagulant Therapy Implementation of Stroke Survivors with Atrial Fibrillation in an Ambulatory Setting.

OBJECTIVES: To describe how stroke survivors with atrial fibrillation implement direct oral anticoagulant treatment and propose appropriate metrics to describe adherence. MATERIALS AND METHODS: Stroke patients with atrial fibrillation electronically recorded their self-administered direct oral anticoagulants (apixaban, dabigatran, edoxaban, rivaroxaban) during a 6-month observation phase after hospitalisation for ischemic stroke. Taking and timing adherence, correct dosing days, drug holidays, time of the day and day of the week subsets, dose-to-dose intervals and longest intervals between two consecutive doses were calculated from electronic monitoring data to describe and discuss the implementation phase of adherence. RESULTS: Data from 41 patients were analysed. Median age was 77 (IQR = 69-84), 63.4% were male and the majority suffered a mild stroke (median NIHSS: 1). Mean taking and timing adherence exceeded 90%. Correct dosing occurred in 86.6% of the days. Seven patients (17.1%) had intake pauses of three or more consecutive days. Patients with twice-daily regimen (70.7%) had higher taking adherence in the morning than in the evening (94.4% versus 89.9%; p = 0.001). No therapy- or anamneses-related characteristic was associated with taking adherence. CONCLUSIONS: Although adherence to direct oral anticoagulants of stroke patients with atrial fibrillation exceeded 90%, deviant intake patterns such as drug holidays and missed evening doses were common and raise concerns. Appropriate adherence metrics calculated from electronic monitoring data may guide healthcare professionals elucidating patient-tailored adherence-enhancing interventions. ClinicalTrials.gov registration number: NCT03344146.

Introduction of Group Electronic Monitoring of Hand Hygiene on Inpatient Units: A Multicenter Cluster Randomized Quality Improvement Study.

BACKGROUND: The current approach to measuring hand hygiene (HH) relies on human auditors who capture <1% of HH opportunities and rapidly become recognized by staff, resulting in inflation in performance. Group electronic monitoring is a validated method of measuring HH adherence, but data demonstrating the clinical impact of this technology are lacking. METHODS: A stepped-wedge cluster randomized quality improvement study was performed on 26 inpatient medical and surgical units across 5 acute care hospitals in Ontario, Canada. The intervention involved daily HH reporting as measured by group electronic monitoring to guide unit-led improvement strategies. The primary outcome was monthly HH adherence (percentage) between baseline and intervention. Secondary outcomes included transmission of antibiotic-resistant organisms such as methicillin-resistant Staphylococcus aureus (MRSA) and other healthcare-associated infections. RESULTS: After adjusting for the correlation within inpatient units and hospitals, there was a significant overall improvement in HH adherence associated with the intervention (incidence rate ratio [IRR], 1.73 [95% confidence interval {CI}, 1.47-1.99]; P < .0001). Monthly HH adherence relative to the intervention increased from 29% (1 395 450/4 544 144) to 37% (598 035/1 536 643) within 1 month, followed by consecutive incremental increases up to 53% (804 108/1 515 537) by 10 months (P < .0001). There was a trend toward reduced healthcare-associated transmission of MRSA (IRR, 0.74 [95% CI, .53-1.04]; P = .08). CONCLUSIONS: The introduction of a system for group electronic monitoring led to rapid, significant improvements in HH performance within a 2-year period. This method offers significant advantages over direct observation for measurement and improvement of HH.

Is there any Hope for Monitoring Adherence in an Efficient and Feasible Way for Resistant Hypertension Diagnosis and Follow-Up?

PURPOSE OF REVIEW: Non-adherence to antihypertensive treatment is highly prevalent and represents a major factor affecting their effectiveness in hypertensive patients, thus contributing to apparent treatment resistance. It is however often overlooked because the methods to assess non-adherence are mainly subjective, limiting their usefulness in clinical practice. Non-adherence to treatment affects daily patient management, resulting in inappropriate, costly, and potentially harmful treatments and loss of the expected benefits from antihypertensive drugs. RECENT FINDINGS: Specialized centers now use a combination of objective screening tools. Firstly, snapshots of adherence levels can be provided by analytical drug detection in various biological matrixes using liquid chromatography-tandem mass spectrometry (LC-MS/MS) and secondly electronic monitoring systems of drug delivery which provide longitudinal data on adherence. Routine utilization of those tools allows the detection of non-adherence in patients with resistant hypertension, thus enabling implementation of appropriate interventions to improve drug adherence and avoid unnecessary treatment intensification. Other complementary techniques, such as digital health feedback system with ingestible sensors, are currently evaluated. In the context of an increasing burden of uncontrolled and apparent treatment-resistant hypertension, detecting non-adherence to antihypertensive therapy is, as acknowledged by the latest guidelines, a top priority to implement in clinical practice but still faces medical conservatism and disbelief.

Accuracy and concordance of measurement methods to assess non-adherence after renal transplantation - a prospective study.

BACKGROUND: Non-adherence (NA) to immunosuppressants (IS) among renal transplant recipients (RTRs) is associated with higher risk of allograft rejection, graft loss, and mortality. A precise measurement of NA is indispensable, although its prevalence differs greatly depending on the respective measurement methods. The objective of this study was to assess the accuracy and concordance of different measurement methods of NA in patients after renal transplantation. DESIGN AND METHODS: This was a single-center prospective observational study. At baseline (T0), NA was measured via physicians' estimates (PE), self-reports (SR), and tacrolimus trough level variability (CV%) in 78 RTRs. A Visual Analogue Scale (VAS, 0-100%) was applied both for SR and PE. In addition, we used BAASIS© for SR and a 5-point Likert scale for PE. NA was measured prospectively via electronic monitoring (EM, VAICA©) during a three month period. Meanwhile, all participants received phone calls in a two week interval (T1-T6) during which SRs were given. RESULTS: Seventy-eight RTRs participated in our study. At t0, NA rates of 6.4%, 28.6%, and 15.4% were found for PE, SR, and CV%, respectively. No correlation was found between these methods. During the study, the percentages of self-reported and electronically monitored adherence remained high, with a minimum mean of 91.2% for the strictest adherence measure (Timing Adherence ±30 min). Our results revealed a moderate to high association between SR and EM. In contrast to PE and CV%, SR significantly predicted electronically monitored adherence. Overall, a decreasing effect of electronically monitored adherence was found for both taking and timing adherence (±2 h, ±30 min) over the course of the study. DISCUSSION: The moderate to high concordance of SR and EM suggests that both methods measure NA equally accurately. SR seems to be a method that can adequately depict electronically monitored NA and may represent a good and economical instrument to assess NA in clinical practice. The increased adherence at the beginning of the study and its subsequent decrease suggests an intervention effect. Surveillance of IS intake via EM with intermittent phone calls could improve adherence on a short-term basis. To establish long-term effects, further research is necessary.

A quantitative evaluation of adherence and inhalation technique among respiratory patients: An observational study using an electronic inhaler assessment device.

BACKGROUND: Problems related to poor adherence and inhaler technique (IT) are historically reported in the literature. Most common methods used for adherence and IT assessment are reported to be either inaccurate or subjective. Few electronic monitoring devices (EMDs) that provide an objective measure of both adherence and IT while patients use inhalers at home now exist. Therefore, this study aimed to examine adherence level and IT among respiratory patients in community care using such an EMD for the first time in England. METHODS: A prospective, multicentre, observational cohort study was conducted. Patients with chronic obstructive pulmonary disease (COPD) or asthma were recruited from independent community pharmacies within West and South London. Patients were provided with a dry-powder inhaler (DPI) mounted with an EMD to use for 1 month. Adherence was also assessed using pharmacy dispensing data, inhaler dose counter and self-reporting. RESULTS: Data were available for 48 patients. Only eight patients used their inhaler in the correct manner at the correct interval as identified by the chosen EMD. The median actual adherence rate, as measured by the EMD, was 42.7%. This was significantly different from the median dose counter adherence (100%), medication refill adherence (MRA) (100%), proportions of days covered (PDC) (97.8%) and self-reported adherence (P < .001, each). Within a 1-month period, there were 2188 files showing attempted use of the DPI, of which 840 had IT errors. The median technique error rate (TER) was 30.1%. Most common errors recorded were as follows: multiple inhalations, drug priming without inhalation and failure to prime the device correctly. CONCLUSION: The current study demonstrates that measures such as dose counter, prescription refill and self-reporting showed a high level of adherence among the observed patients. However, the objective data provided by the EMD showed a significantly lower actual adherence rate, reflecting how adherence remains variable and problematic among patients in the community.

Factors Affecting the Implementation of Electronic Antiretroviral Therapy Adherence Monitoring and Associated Interventions for Routine HIV Care in Uganda: Qualitative Study.

BACKGROUND: High, sustained adherence to HIV antiretroviral therapy (ART) is critical for achieving viral suppression, which in turn leads to important individual health benefits and reduced secondary viral transmission. Electronic adherence monitors record a date-and-time stamp with each opening as a proxy for pill-taking behavior. These monitors can be combined with interventions (eg, data-informed adherence counseling, SMS-based adherence support, and/or alarms) and have been shown to improve adherence in multiple settings. Their use, however, has largely been limited to the research context. OBJECTIVE: The goal of the research was to use the Consolidated Framework for Implementation Research (CFIR) to understand factors relevant for implementing a low-cost electronic adherence monitor and associated interventions for routine HIV clinical care in Uganda. METHODS: We conducted in-depth qualitative interviews with health care administrators, clinicians, and ART clients about likes and dislikes of the features and functions of electronic adherence monitors and associated interventions, their potential to influence HIV care, suggestions on how to measure their value, and recommendations for their use in routine care. We used an inductive, content analysis approach to understand participant perspectives, identifying aspects of CFIR most relevant to technology implementation in this setting. RESULTS: We interviewed 34 health care administrators/clinicians and 15 ART clients. Participants largely saw the monitors and associated interventions as favorable and beneficial for supporting adherence and improving clinical outcomes through efficient, differentiated care. Relevant outside factors included structural determinants of health, international norms around supporting adherence, and limited funding that necessitates careful assessment of costs and benefits. Within the clinic, the adherence data were felt likely to improve the quality of counseling and thereby morale, as well as increase the efficiency of care delivery. Existing infrastructure and care expenditures and the need for proper training were other noted considerations. At the individual level, the desire for good health and a welcomed pressure to adhere favored uptake of the monitors, although some participants were concerned with clients not using the monitors as planned and the influence of poverty, stigma, and need for privacy. Finally, participants felt that decisions around the implementation process would have to come from the Ministry of Health and other funders and would be influenced by sustainability of the technology and the target population for its use. Coordination across the health care system would be important for implementation. CONCLUSIONS: Low-cost electronic adherence monitoring combined with data-informed counseling, SMS-based support, and/or alarms have potential for use in routine HIV care in Uganda. Key metrics of successful implementation will include their impact on efficiency of care delivery and clinical outcomes with careful attention paid to factors such as stigma and cost. Further theory-driven implementation science efforts will be needed to move promising technology from research into clinical care. TRIAL REGISTRATION: ClinicalTrials.gov NCT03825952; https://clinicaltrials.gov/ct2/show/NCT03825952.

Successful implementation of an automated electronic support system for patient safety monitoring: The alemtuzumab in multiple sclerosis safety systems (AMS3) study.

BACKGROUND: Alemtuzumab is a highly effective treatment for relapsing-remitting multiple sclerosis (MS) but requires ongoing pathology monitoring for autoimmune adverse effects. The Alemtuzumab in MS Safety Systems (AMS3) study evaluated the implementation of an automated pathology-monitoring system. OBJECTIVES: To develop an efficient automated clinical decision support system (CDSS) to electronically prompt and track pathology collection and to provide prescribers and patients with customised alerts of abnormal results for identified risks. METHODS: A total of 10 patients with relapsing-remitting MS treated with alemtuzumab were enrolled to test the system. Standard care laboratory monitoring was performed and compared to the performance of the CDSS. RESULTS: The automated CDSS, an integrated patient smartphone application and an additional pre-screening tool were all successfully developed. Compliance with pathology monitoring was 96.7%. The automated analysis of pathology results was significantly faster than standard care neurologist review (p < 0.001). The system correctly identified and alerted abnormalities, including one case of immune thrombocytopenia (ITP) while the treating neurologist was on leave, enabling prompt treatment of serious adverse events. During the course of the study, the CDSS was deployed throughout Australia. CONCLUSION: We successfully developed automated pathology monitoring with a CDSS, demonstrating real-world benefits of high compliance and timely alerting of important results.

Utility of Different Adherence Measures for PrEP: Patterns and Incremental Value.

Measuring PrEP adherence remains challenging. In 2009-2010, the International AIDS Vaccine Initiative randomized phase II trial participants to daily tenofovir disoproxil fumarate/emtricitabine or placebo in Uganda and Kenya. Adherence was measured by electronic monitoring (EM), self-report (SR), and drug concentrations in plasma and hair. Each adherence measure was categorised as low, moderate, or high and also considered continuously; the incremental value of combining measures was determined. Forty-five participants were followed over 4 months. Discrimination for EM adherence by area under receiver operating curves (AROC) was poor for SR (0.53) and best for hair (AROC 0.85). When combining hair with plasma or hair with self-report, discrimination was improved (AROC > 0.9). Self-reported adherence was of low utility by itself. Hair level was the single best PK measure to predict EM-assessed adherence; the other measurements had lower discrimination values. Combining short-term (plasma) and long-term (hair) metrics could be useful to assess patterns of drug-taking in the context of PrEP.

Assessing adherence to inhaled medication in asthma: Impact of once-daily versus twice-daily dosing frequency. The ATAUD study.

INTRODUCTION: This study was aimed at evaluating whether once-daily regimens (od-r) show benefits in adherence when compared to twice-daily (td-r). METHODS: Prospective, multicenter, 6-month follow-up study with two visits. The main objective was to compare adherence assessed by the electronic prescription refill rate (EPRR) and by the 10-item Test of Adherence to Inhalers (TAI) in patients with od-r and td-r. Suboptimal adherence was defined as TAI < 50 or EPRR ≤ 80%. The effect of suboptimal adherence on meaningful clinical outcomes and the concordance between EPRR and TAI were also examined. RESULTS: One hundred and ninety-seven patients (47.3 ± 15.9 years, 65% women) were included and 180 completed the study. TAI score was <50 in 29.8% od-r patients and 46.9% in td-r (p = 0.01) and EPRR was ≤80% in 22.6% and 37.5% respectively (p = 0.02). The correlation between the two methods was moderate (rho = 0.548; p < 0.001). There were no significant differences in FEV1 (%), symptoms or exacerbations between patients with optimal and suboptimal adherence. During follow-up, five patients (6%) with o-dr and 17 patients (17.7%) with t-dr suffered an exacerbation (p = 0.013). At visit two, 13.1% of the patients with o-dr and 31.3% with t-dr had uncontrolled asthma (p = 0.003), although more patients with o-dr were receiving inhaled corticosteroids in the high-dose stratum (25.8% vs. 11.5%; p = 0.001). CONCLUSION: Mean adherence rates were greater with od-r than with td-r, but we did not observe an effect on clinical outcomes.