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BACKGROUND: Direct oral anticoagulants are the preferred treatment for stroke patients with atrial fibrillation. Pharmacy dispensing data represent a practical method to identify suboptimal medication adherence. OBJECTIVE: This study investigates whether pharmacy dispensing data are indicative of real-life adherence behavior, using data from 130 patients in the MAAESTRO study (2018-2022) in Basel, Switzerland. METHODS: This secondary data analysis of the MAAESTRO study (Dietrich, 2024) included patients with electronic monitoring (EM) and dispensing data for 12 months. Patients with at least two refills were included in the analysis. We categorized refill series into three adherence patterns using the Delta T method (Baumgartner, 2022): all refills on time, erratic refills, end-gaps ≥10 days. EM-adherence was assessed through "taking adherence" and "missing days" (24h without intake). We analyzed: i) all dispensing data ("all refills"); ii) all data independently of the MAAESTRO phase ("all phases"); iii) the last two dispensing data ("last"), and iv) EM data from the MAAESTRO phase that match the date of the last refill ("matched"). Associations between refill patterns and adherence were examined using Spearman correlation and Fisher's exact test. RESULTS: Data analyzed from 50 patients (mean age 76.4 ± 9.1 years, 56.0 % male) included 252 refills with a median of 4 refills per patient. Refill patterns were: all refills on time (40.0 %), erratic refills (36.0 %), and end-gaps >10 days (24.0 %). Mean taking adherence was 89.3 ± 13.7 %. EM data revealed missing days in 82.0 % of patients, with 61.0 % having irregular refill patterns. Matched taking adherence was moderately associated with Delta T over all refills (p = 0.034) and the last refill (p = 0.013). CONCLUSIONS: Dispensing data processed with the Delta T method correlate moderately with EM data. The Delta T value for the last two refills shows promise for estimating irregular adherence, suggesting potential for targeted interventions in pharmacy practice.

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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.

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The current academic research on whether and how the different supervisor monitoring effect in remote workplace is relatively scarce. Based on the Job demand-resource (JD-R) Model, this study proposes that as a kind of work resource, interactional monitoring will enhance employees' self-efficacy, further enhance remote employees' work engagement and reduce their deviant behaviors. While as a kind of work requirement, electronic monitoring will decrease employees' self-efficacy, further reduce remote employee's work engagement and increase their deviant behaviors. This study gets the empirical date of 299 employees who experienced remote work. Amos 23.0, SPSS 23.0 software and process plug-in were used to do the hierarchical regression, bootstrap and simple slope analysis, so that to test the hypothesis. This study broadens the research situation and mechanism of different supervisor monitoring, so as to enrich the comprehensive understanding of the effect of them, and also to provide some inspiration and reference for relevant management practices.

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BACKGROUND: Hand hygiene (HH) among health care workers (HCWs) is crucial in preventing infections in nursing homes. However, HH compliance (HHC) among HCWs remains low. This study aimed to investigate the effect of feedback lights on HCWs' HHC. METHODS: A 5-month interventional study was conducted in 3 wards in a nursing home in Denmark. During the intervention period, a green light with a smiley appeared on the alcohol-based hand rub (ABHR) dispensers when HCWs used the ABHR, acknowledging HCWs for using the ABHR. HHC was monitored using an automatic HH monitoring system (AHHMS). RESULTS: A total of 64 HCWs were enrolled. The AHHMS collected 23,696 HH opportunities in apartments and dirty utility rooms. Overall, HHC in the apartments increased from 50% at baseline (95% CI: 48, 53) to 56% (95% CI: 54, 58) during the intervention. However, the increased HHC level was not sustained during follow-up. CONCLUSIONS: The AHHMS enabled the assessment of the intervention. We found a significant effect of light-guided feedback in the apartments. However, the increased HHC was not sustained after the light was switched off.

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Background: While healthcare-associated infections (HAIs) affect approximately 3.2-6.5% of hospitalised patients in the US and Europe, improving hand hygiene (HH) could reduce HAI rates. Investigating HH is time-consuming and not always objective, and comprehensive, unbiased data is needed to develop effective strategies. Using electronic tools can provide new and detailed insights on the determinants of HH. Aim: To evaluate location-dependent usage of wall-mounted dispensers (WMDs) and point-of-care dispensers (POCs) using an electronic HH recording system. Methods: In this retrospective study, hand rub volumes were anonymously recorded for 931,446 disinfections from 17 wards in nine German hospitals using the electronic monitoring system NosoEx®. Number of disinfections and rub volumes of WMDs/POCs by ward and room type were analysed. Findings: Generally, WMDs were most prevalent. With >3 dispensers per bed and >20 disinfections per patient day, availability and use were highest in intensive care (ICU) and intermediate care (IMC), but here rub volumes from WMDs were lowest (∼2.0 mL). Although most dispensers are located in patient rooms (∼42%), they are more frequently used in hallways. In surgical ICUs, dispensers are often used in patient rooms, where contact with open wounds is common. About 3.6 mL of hand rub is used per disinfection in treatment rooms, the highest volume of all room types. Conclusion: Dispenser use was dependent on location, room type, ward specialisation and workflow. Optimising the location of hand rub dispensers (HRDs)s is not the only solution to improve HH, but can help reduce inconvenience, achieve more ergonomic workflows and better meet user needs.

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BACKGROUND: Achieving high hand hygiene compliance among health care workers is a challenge, requiring effective interventions. This study investigated the impact of individualized feedback on hand hygiene compliance using an electronic monitoring system. METHODS: A quasi-experimental intervention design with pretest-post-test was conducted in an orthopedic surgical ward. Participants served as their own controls. A 3-month baseline was followed by a 3-month intervention period. Hand hygiene events were recorded through sensors on dispensers, name tags, and near patient beds. Health care workers received weekly email feedback reports comparing their compliance with colleagues. RESULTS: Nineteen health care workers (17 nurses, 2 doctors) were included. Hand hygiene compliance significantly improved by approximately 15% (P < .0001) across all rooms during the intervention. The most substantial improvement occurred in patient rooms (17%, P < .0001). Compliance in clean and contaminated rooms increased by 10% (P = .0068) and 5% (P = .0232). The average weekly email open rate for feedback reports was 46%. CONCLUSIONS: Individualized feedback via email led to significant improvements in hand hygiene compliance among health care workers. The self-directed approach proved effective, and continuous exposure to the intervention showed promising results.

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Background: Hand hygiene (HH) by healthcare workers (HCWs) is one of the most important measures to prevent hospital-acquired infections. However, HCWs struggle to adhere to HH guidelines. We aimed to investigate the effect of a non-resource intensive intervention with group and individual feedback on HCWs HH in a real-life clinical practice during the COVID-19 pandemic. Methods: In 2021, an 11-month prospective, interventional study was conducted in two inpatient departments at a Danish university hospital. An automated hand hygiene monitoring system (Sani Nudge™) was used to collect data. HH opportunities and alcohol-based hand rub events were measured. Data were provided as HH compliance (HHC) rates. We compared HHC across 1) a baseline period, 2) an intervention period with weekly feedback in groups, followed by 3) an intervention period with weekly individual feedback on emails, and 4) a follow-up period. Results: We analyzed data from physicians (N=65) and nurses (N=109). In total, 231,022 hygiene opportunities were analyzed. Overall, we observed no significant effect of feedback, regardless of whether it was provided to the group or individuals. We found a trend toward a higher HHC in staff restrooms than in medication rooms and patient rooms. The lowest HHC was found in patient rooms. Conclusions: The automated hand hygiene monitoring system enabled assessment of the interventions. We found no significant effect of group or individual feedback at the two departments. However, other factors may have influenced the results during the pandemic, such as time constraints, workplace culture, and the degree of leadership support.

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Standard pulse oximeters estimate arterial blood saturation (SaO2) non-invasively by emitting and detecting light of a specific wavelength through a cutaneous vascular bed, such as a digit or the ear lobe. The quantity measured at these peripheral sites is designated as oxygen saturation (SpO2). Most reliable pulse oximeters are calibrated from measurements of healthy volunteers using some form of oxygen desaturation method. As the degree of inducible hypoxemia is limited, the calibration below achievable desaturation levels is usually extrapolated, leading to potential measurement error at low SaO2 values, especially in highly pigmented skin. Such skin color-related errors (SCRE) are the topic of this scoping review. Specifically, this study aimed to identify the combined impact of skin color and reduced SaO2 on the non-invasive assessment of SpO2 and report the consequences of potential inaccuracies. Three databases were searched (Cumulated Index to Nursing and Allied Health Literature (CINAHL), PubMed, and Web of Science) for peer-reviewed prospective and retrospective studies published in English between 2000 and 2022 involving human patients with hypoxemia that included a measure of skin color (Fitzpatrick scale or race/ethnicity). Ten studies met the criteria and were included in the final review. Eight of these studies reported statistically significant higher pulse oximeter readings in darker-skinned patients with hypoxia compared to their arterial blood gas measurements. Occult hypoxia was more prevalent in Black and Hispanic patients than in White patients. Minority patients overall (Black, Asian, and American Indian) were more likely to have a SaO2 < 88% that was not detected by pulse oximetry (occult hypoxemia) during hospitalization. With greater levels of hypoxemia, the differences between SpO2 and SaO2 were greater. If SaO2 was < 90%, then SpO2 was overestimated in all ethnicities but worse in minorities. In conclusion, the bias found in pulse oximeter readings in the skin of color broadly impacts patients with hypoxemia. The failure of SpO2 measuring devices to detect occult hypoxemia can delay the delivery of life-saving treatment to critically ill patients requiring respiratory rehabilitation and supplemental oxygen therapy. This may lead to adverse health outcomes, increased in-hospital mortality, and complications such as organ dysfunction. An improvement in pulse oximeter detection mechanisms that would include all skin pigmentations is therefore much desired to optimize individual healthcare status and minimize disparities in treatment.

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BACKGROUND: Digital inhalers can monitor inhaler usage, support difficult-to-treat asthma management, and inform step-up treatment decisions yet their economic value is unknown, hampering wide-scale implementation. OBJECTIVE: We aimed to assess the long-term cost-effectiveness of digital inhaler-based medication adherence management in difficult-to-treat asthma. METHODS: A model-based cost-utility analysis was performed. The Markov model structure was determined by biological and clinical understanding of asthma and was further informed by guideline-based assessment of model development. Internal and external validation was performed using the Assessment of the Validation Status of Health-Economic (AdViSHE) tool. The INCA (Inhaler Compliance Assessment) Sun randomized clinical trial data were incorporated into the model to evaluate the cost-effectiveness of digital inhalers. Several long-term clinical case scenarios were assessed (reduced number of exacerbations, increased asthma control, introduction of biosimilars [25% price-cut on biologics]). RESULTS: The long-term modelled cost-effectiveness based on a societal perspective indicated 1-year per-patient costs for digital inhalers and usual care (ie, regular inhalers) of €7,546 ($7,946) and €10,752 ($11,322), respectively, reflecting cost savings of €3,207 ($3,377) for digital inhalers. Using a 10-year intervention duration and time horizon resulted in cost savings of €26,309 ($27,703) for digital inhalers. In the first year, add-on biologic therapies accounted for 69% of the total costs in the usual care group and for 49% in the digital inhaler group. Scenario analyses indicated consistent cost savings ranging from €2,287 ($2,408) (introduction biosimilars) to €4,581 ($4,824) (increased control, decreased exacerbations). CONCLUSIONS: In patients with difficult-to-treat asthma, digital inhaler-based interventions can be cost-saving in the long-term by optimizing medication adherence and inhaler technique and reducing add-on biologic prescriptions.

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BACKGROUND: The INhaler Compliance Assessment (INCATM) device is an electronic monitoring device (EMD) that assesses both patient's adherence and inhaler technique (IT). This study aimed, first, to assess the value of using the INCATM device as an objective measure during medicine use review (MUR) consultations provided by community pharmacists (CPs) on patients' adherence and IT. Second, we aimed to explore patients' perceptions about the INCATM device. METHODS: A mixed methods approach was used, involving two phases. Phase one was a service evaluation in independent community pharmacies in London with a before-and-after study design. The service included provision of an MUR consultation to asthma and COPD patients using objective feedback about adherence and IT generated with the INCATM device. Descriptive and inferential statistics were performed using SPSS. Phase two involved semi-structured interviews with respiratory patients. Thematic analysis was performed to generate key findings. MAIN FINDINGS: Eighteen patients participated in the study (12 COPD and 6 asthma). The results showed significant improvement in the INCATM actual adherence from 30% to 68% (p = 0.001) and significant reduction in IT error rate from 51% to 12% (p = 0.002) after conducting the service. Analysis of the interviews revealed patients' positive attitudes in terms of the perceived benefits of the technology and a desire for future use and recommendation for others. Patients had also positive attitudes towards the consultations provided. CONCLUSION: Embedding an objective measure about adherence and IT during CPs' consultations showed a significant improvement in patients' adherence and IT and was accepted by patients as well.

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BACKGROUND: Several studies have reported on the feasibility of electronic (e-)monitoring using computers or smartphones in patients with mental disorders, including bipolar disorder (BD). While studies on e-monitoring have examined the role of demographic factors, such as age, gender, or socioeconomic status and use of health apps, to our knowledge, no study has examined clinical characteristics that might impact adherence with e-monitoring in patients with BD. We analyzed adherence to e-monitoring in patients with BD who participated in an ongoing e-monitoring study and evaluated whether demographic and clinical factors would predict adherence. METHODS: Eighty-seven participants with BD in different phases of the illness were included. Patterns of adherence for wearable use, daily and weekly self-rating scales over 15 months were analyzed to identify adherence trajectories using growth mixture models (GMM). Multinomial logistic regression models were fitted to compute the effects of predictors on GMM classes. RESULTS: Overall adherence rates were 79.5% for the wearable; 78.5% for weekly self-ratings; and 74.6% for daily self-ratings. GMM identified three latent class subgroups: participants with (i) perfect; (ii) good; and (iii) poor adherence. On average, 34.4% of participants showed "perfect" adherence; 37.1% showed "good" adherence; and 28.2% showed poor adherence to all three measures. Women, participants with a history of suicide attempt, and those with a history of inpatient admission were more likely to belong to the group with perfect adherence. CONCLUSIONS: Participants with higher illness burden (e.g., history of admission to hospital, history of suicide attempts) have higher adherence rates to e-monitoring. They might see e-monitoring as a tool for better documenting symptom change and better managing their illness, thus motivating their engagement.

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BACKGROUND: Hospital-acquired infections are the most frequent adverse events in health care and can be reduced by improving the hand hygiene compliance (HHC) of health care workers (HCWs). We aimed to investigate the effect of nudging with sensor lights on HCWs' HHC. METHODS: An 11-month intervention study was conducted in 2 inpatient departments at a university hospital. An automated monitoring system (Sani NudgeTM) measured the HHC. Reminder and feedback nudges with lights were displayed on alcohol-based hand rub dispensers. We compared the baseline HHC with HHC during periods of nudging and used the follow-up data to establish if a sustained effect had been achieved. RESULTS: A total of 91 physicians, 135 nurses, and 15 cleaning staff were enrolled in the study. The system registered 274,085 hand hygiene opportunities in patient rooms, staff restrooms, clean rooms, and unclean rooms. Overall, a significant, sustained effect was achieved by nudging with lights in relation to contact with patients and patient-near surroundings for both nurses and physicians. Furthermore, a significant effect was observed on nurses' HHC in restrooms and clean rooms. No significant effect was found for the cleaning staff. CONCLUSIONS: Reminder or feedback nudges with light improved and sustained physicians' and nurses' HHC, and constitute a new way of changing HCWs' hand hygiene behavior.

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BACKGROUND: Real-world evidence for digitally-supported asthma programs among Medicaid-enrolled children remains limited. Using data from a collaborative quality improvement program, we evaluated the impact of a digital intervention on asthma inhaler use among children in southwest Detroit. METHODS: Children (6-13 years) enrolled with Kids Health Connection (KHC), a program involving home visits with an asthma educator, were invited to participate in a digital self-management asthma program (Propeller Health). Patients were provided with a sensor to capture short-acting beta-agonist (SABA) medication use, and given access to a paired mobile app to track usage. Patients' healthcare providers and caregivers ("followers") were invited to view data as well. Retrospective paired t-tests assessed change in mean SABA use and SABA-free days (SFD) over time, and regressions explored the relationship between followers and medication use. RESULTS: Fifty-one patients were assessed. Mean program participation was nine months, and patients had on average 3 followers. From the first to last participation month, mean SABA use decreased from 0.68 to 0.25 puffs/day (p < 0.001), and mean SFD increased from 25.2 to 28.1 days/month (p < 0.001). 76% of patients had an increase in the number of SFD. There was a positive, but non-significant, relationship between the number of followers and reductions in SABA inhaler use. CONCLUSIONS: We observed a significant reduction in SABA inhaler use and an increase in the number of SABA-free days among Medicaid-enrolled children enrolled in a multi-modal digital asthma program.

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We conducted a systematic review and meta-analysis to gain insight into the characteristics and clinical impact of electronic monitoring devices of inhalers (EMDs) and their clinical interventions in adult patients with asthma or COPD. The search included PubMed, Web of Science, Cochrane, Scopus and Embase databases, as well as official EMDs websites. We found eight observational studies and ten clinical trials, assessing a wide range of clinical outcomes. Results from the meta-analysis on adherence to inhalers in a period over three months were favourable in the EMD group (fixed effects model: SMD: 0.36 [0.25-0.48]; random effects model SMD: 0.41 [0.22-0.60]). An exploratory meta-analysis found an improvement in ACT score (fixed effect model SMD: 0.25 [0.11-0.39]; random effects model: SMD: 0.47 [-0.14-1.08]). Other clinical outcomes showed mixed results in the descriptive analyses. The findings of this review highlight the benefits of EMDs in the optimization of adherence to inhaled therapy as well as the potential interest in other clinical outcomes.

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BACKGROUND: Obtaining detailed insights into people's unique hand hygiene behaviour could play an important role in developing the most effective long-term hand hygiene compliance (HHC) interventions. AIM: To investigate the effect of two feedback interventions provided by an electronic hand hygiene monitoring system (EHHMS) on sustained HHC improvement, individual responsiveness, and prevention of hospital-acquired bloodstream infections (HABSIs) and urinary tract infections (HAUTIs). METHODS: The study included two 2-year cohorts (exposed and unexposed to EHHMS) observed over 4 years in an internal medicine department with 142 caregivers and 39 doctors. Healthcare workers (HCWs) were stratified into four groups based on their baseline performance to assess predicted responsiveness to the interventions. FINDINGS: All HCWs increased their HHC independently from their performance at baseline, except for a few in the low-performance groups with constantly low HHC. The two low-performance groups at baseline were most responsive to group feedback (weekly change in HHC of 4.4% and 3.1%) compared with individual feedback (weekly change in HHC of 1.0% and 2.2%). The number of cases of HABSI reduced significantly during the intervention period (P=0.01), with the greatest effect on Staphylococcus aureus. No significant change in HAUTIs was observed. CONCLUSION: The EHHMS interventions sustained the HHC improvements successfully and reduced the number of cases of HABSI. Nearly all HCWs responded to the interventions. The two low-performance groups at baseline never reached the same HHC levels as those in the high-performance groups, indicating the potential for further improvement and the need for intensified individualized interventions.

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This study investigates the experiences of victims of domestic violence (DV) involved in a bilateral electronic monitoring (EM) program. Semi-structured interviews were conducted with six victims whose associated person of interest participated in an EM program post-release, as well as 13 victim support staff. Thematic analysis revealed seven themes: (1) Safety and validation, (2) Initial anxiety, (3) Minimal intrusion on daily life, (4) Psychological relief and feelings of safety, (5) Freedom to engage in daily activities, (6) Post-EM concerns for safety, and (7) An effective deterrent for some, but not for all. Overall, the experiences reported by victims and support staff were positive and evident of victim-centricity. The main defining experience of the DVEM program for victims was improved feelings of safety during the program and increased autonomy and confidence in going about their daily activities. However, there is an urgent need to consider post-EM safety of victims.

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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.

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BACKGROUND: Electronic monitoring systems (EMS) for measuring hand hygiene performance have many advantages. Previous studies have shared results of EMS in individual units or single institutions, without many details of implementation. The implementation steps for house wide use of an EMS in 12 hospitals are described. METHODS: Hospital resources used in this 3-year implementation included those for installation activities, initial education about the components and function of the EMS, evaluation of healthcare professionals' processes related to hand hygiene, routine data feedback in a variety of methods, continuous coaching and training on the EMS, incentive programs and strong leadership support. RESULTS: Continual process improvement activities resulted in a 23% increase in hand hygiene performance, from 53% at baseline, to 76%. DISCUSSION/CONCLUSION: Implementation of an EMS required many resources beyond those for the technology, but resulted in measurable improvement in hand hygiene performance.

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