Detection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images.

BACKGROUND: Left ventricular (LV) systolic dysfunction is associated with a >8-fold increased risk of heart failure and a 2-fold risk of premature death. The use of ECG signals in screening for LV systolic dysfunction is limited by their availability to clinicians. We developed a novel deep learning-based approach that can use ECG images for the screening of LV systolic dysfunction. METHODS: Using 12-lead ECGs plotted in multiple different formats, and corresponding echocardiographic data recorded within 15 days from the Yale New Haven Hospital between 2015 and 2021, we developed a convolutional neural network algorithm to detect an LV ejection fraction <40%. The model was validated within clinical settings at Yale New Haven Hospital and externally on ECG images from Cedars Sinai Medical Center in Los Angeles, CA; Lake Regional Hospital in Osage Beach, MO; Memorial Hermann Southeast Hospital in Houston, TX; and Methodist Cardiology Clinic of San Antonio, TX. In addition, it was validated in the prospective Brazilian Longitudinal Study of Adult Health. Gradient-weighted class activation mapping was used to localize class-discriminating signals on ECG images. RESULTS: Overall, 385 601 ECGs with paired echocardiograms were used for model development. The model demonstrated high discrimination across various ECG image formats and calibrations in internal validation (area under receiving operation characteristics [AUROCs], 0.91; area under precision-recall curve [AUPRC], 0.55); and external sets of ECG images from Cedars Sinai (AUROC, 0.90 and AUPRC, 0.53), outpatient Yale New Haven Hospital clinics (AUROC, 0.94 and AUPRC, 0.77), Lake Regional Hospital (AUROC, 0.90 and AUPRC, 0.88), Memorial Hermann Southeast Hospital (AUROC, 0.91 and AUPRC 0.88), Methodist Cardiology Clinic (AUROC, 0.90 and AUPRC, 0.74), and Brazilian Longitudinal Study of Adult Health cohort (AUROC, 0.95 and AUPRC, 0.45). An ECG suggestive of LV systolic dysfunction portended >27-fold higher odds of LV systolic dysfunction on transthoracic echocardiogram (odds ratio, 27.5 [95% CI, 22.3-33.9] in the held-out set). Class-discriminative patterns localized to the anterior and anteroseptal leads (V2 and V3), corresponding to the left ventricle regardless of the ECG layout. A positive ECG screen in individuals with an LV ejection fraction ≥40% at the time of initial assessment was associated with a 3.9-fold increased risk of developing incident LV systolic dysfunction in the future (hazard ratio, 3.9 [95% CI, 3.3-4.7]; median follow-up, 3.2 years). CONCLUSIONS: We developed and externally validated a deep learning model that identifies LV systolic dysfunction from ECG images. This approach represents an automated and accessible screening strategy for LV systolic dysfunction, particularly in low-resource settings.

Bioinspired Approaches to Engineer Antithrombogenic Medical Devices for Vascular Intervention.

Medical devices form a critical component of health care systems for treating and maintaining patient health. However, devices exposed to blood are prone to blood clotting (thrombosis) and bleeding complications leading to device occlusion, device failure, embolism and stroke, and increased morbidity and mortality. Over the years, developments in innovative material design strategies have been made to help reduce the occurrence of thrombotic events on medical devices, but complications persist. Here, we review material and surface coating technologies that have taken bioinspiration from the endothelium to reduce medical device thrombosis, either by mimicking aspects of the glycocalyx to prevent adhesion of proteins and cells to the material surface or mimicking the bioactive function of the endothelium through immobilized or released bioactive molecules to actively inhibit thrombosis. We highlight newer strategies that take inspiration from multiple aspects of the endothelium or are stimuli responsive, only releasing antithrombotic biomolecules when thrombosis is triggered. Emerging areas of innovation target inflammation to decrease thrombosis without increasing bleeding, and interesting results are coming from underexplored aspects of material properties, such as material interfacial mobility and stiffness, which show that increased mobility and decreased stiffness are less thrombogenic. These exciting new strategies require further research and development before clinical translation, including consideration of longevity, cost, and sterilization, but show capacity for the development of more sophisticated antithrombotic medical device materials.

Anastomotic leak rate following the implementation of a powered circular stapler in elective colorectal surgeries: a retrospective cohort study.

BACKGROUND: The objective of this study was to compare the anastomotic leak rates between powered and manual circular staplers in elective left-sided colorectal resections. METHODS: A retrospective cohort study of elective left-sided colorectal resections before and after implementation of a powered circular stapler at a tertiary care center was conducted. The manual stapler group consisted of consecutive resections performed between January 2016 to December 2016 and the powered stapler group, between September 2021 and December 2022. Primary outcome was 30-day anastomotic leak rate. A chi-squared analysis was performed to compare anastomotic leak rates. Factors associated with anastomotic leak were examined. RESULTS: Two-hundred forty-seven patients were included: 154 in the manual stapler group and 93 in the powered stapler group. Mean (SD) age was 60 (15) years old, 37.7% were female and 72.9% of resections were performed for malignancy. Both groups had similar patient characteristics and surgical technique. Overall leak rate was 2.0% in the manual stapler group and 10.8% in the powered stapler group. The powered staplers were found to have 6.06 times the odds of leak compared to manual staplers (95% CI, 1.62-22.65; p = 0.01). None of the other factors were found to be associated with anastomotic leak. CONCLUSIONS: Patients who had left-sided colorectal anastomosis had higher anastomotic leak rates with powered compared to manual circular staplers. This finding is contrary to previous retrospective studies that found lower leak rates with powered staplers.

New approaches to recovery after stroke.

After a stroke, several mechanisms of neural plasticity can be activated, which may lead to significant recovery. Rehabilitation therapies aim to restore surviving tissue over time and reorganize neural connections. With more patients surviving stroke with varying degrees of neurological impairment, new technologies have emerged as a promising option for better functional outcomes. This review explores restorative therapies based on brain-computer interfaces, robot-assisted and virtual reality, brain stimulation, and cell therapies. Brain-computer interfaces allow for the translation of brain signals into motor patterns. Robot-assisted and virtual reality therapies provide interactive interfaces that simulate real-life situations and physical support to compensate for lost motor function. Brain stimulation can modify the electrical activity of neurons in the affected cortex. Cell therapy may promote regeneration in damaged brain tissue. Taken together, these new approaches could substantially benefit specific deficits such as arm-motor control and cognitive impairment after stroke, and even the chronic phase of recovery, where traditional rehabilitation methods may be limited, and the window for repair is narrow.

Feasibility of continuous non-invasive delivery of oxygen monitoring in cardiac surgical patients: a proof-of-concept preliminary study.

PURPOSE: Oxygen delivery (DO2) and its monitoring are highlighted to aid postoperative goal directed therapy (GDT) to improve perioperative outcomes such as acute kidney injury (AKI) after high-risk cardiac surgeries associated with multiple morbidities and mortality. However, DO2 monitoring is neither routine nor done postoperatively, and current methods are invasive and only produce intermittent DO2 trends. Hence, we proposed a novel algorithm that simultaneously integrates cardiac output (CO), hemoglobin (Hb) and oxygen saturation (SpO2) from the Edwards Life Sciences ClearSight System® and Masimo SET Pulse CO-Oximetry® to produce a continuous, real-time DO2 trend. METHODS: Our algorithm was built systematically with 4 components - machine interface to draw data with PuTTY, data extraction with parsing, data synchronization, and real-time DO2 presentation using a graphic-user interface. Hb readings were validated. RESULTS: Our algorithm was implemented successfully in 93% (n = 57 out of 61) of our recruited cardiac surgical patients. DO2 trends and AKI were studied. CONCLUSION: We demonstrated a novel proof-of-concept and feasibility of continuous, real-time, non-invasive DO2 monitoring, with each patient serving as their own control. Our study also lays the foundation for future investigations aimed at identifying personalized critical DO2 thresholds and optimizing DO2 as an integral part of GDT to enhance outcomes in perioperative cardiac surgery.

Barriers and facilitators of implementation of new antibacterial technologies in patient care: an interview study with orthopedic healthcare professionals at a university hospital.

BACKGROUND: Antimicrobial resistance is a major global health threat. Therefore, promising new antibacterial technologies that could minimize our dependence on antibiotics should be widely adopted. This study aims to identify the barriers and facilitators of the adoption of new antibacterial technologies in hospital patient care. METHODS: Semi-structured interviews, based on the Consolidated Framework for Implementation Research, were conducted with healthcare professionals related to the orthopedics department of an academic hospital in The Netherlands. RESULTS: In total, 11 healthcare professionals were interviewed. Scientific evidence for the effectiveness of the technology was the most explicitly mentioned facilitator of adoption, but other (often contextual) factors were also considered to be important. At the level of the inner and outer setting, high costs and lacking coverage, competition from other firms, and problems with ordering and availability were the most explicit perceived barriers to adoption. Participants did not collectively feel the need for new antibacterial technologies. CONCLUSIONS: Barriers and facilitators of the adoption of new antibacterial technologies were identified related to the technology, the hospital, and external factors. The implementation climate might have an indirect influence on adoption. New antibacterial technologies that are scientifically proven effective, affordable, and easily obtainable will most likely be adopted.

Labelling of intravenous drug delivery devices in critically ill patients: A scoping review.

BACKGROUND: Labelling is a strategy that contributes to the correct and faster identification of drugs, minimizing misidentification. There is a gap in knowledge on optimal labelling standards for intravenous (IV) devices applied to the care of critically ill patients. AIM: The goal of this article was to map existing knowledge on the labelling of IV drug delivery devices in critically ill patients for the prevention of medication errors. STUDY DESIGN: This was a scoping review conducted according to the JBI methodology in the LILACS, MEDLINE, CINAHL, IBECS, Scopus, Embase and Web of Science databases, and on the websites of specialized institutions. Searches were conducted up to December 2022 for scientific articles and grey literature that addressed the labelling of IV devices in intensive care units, emergency departments, and anaesthesia units. The data were collected using a structured form and were later classified, summarized, and aggregated to map the knowledge related to the review question. RESULTS: Twenty-one documents were included, which demonstrated variability in label use with IV drug delivery devices. The following features of structure and design stood out: printed format, colour coding, letter size differentiation, and the use of sturdy material. In terms of information, the name of the drug, dose, date and time of preparation, identification of the patient, and who prepared it were found. CONCLUSIONS: The identified patterns contributed to the reduction of drug misidentification and the development of timelier drug labelling and administration. RELEVANCE TO CLINICAL PRACTICE: The evidence supports the development of standardized labels for the prevention of medication errors.

Mundo de Pólus serious game for people with bipolar disorder.

BACKGROUND: Serious games are play-based technologies designed to teach users a wide range of concepts and skills applicable in the non-virtual environment. OBJECTIVES: This paper describes the process of developing a serious game for people with bipolar disorder to promote symptom recognition and the safe use of medications. METHODS: This study was based on the User-Centered Design methodological model and the theoretical framework for Participatory Design. We conducted interviews with health professionals and discussion circles with people with bipolar disorder and their family members in order to identify the learning needs related to symptom recognition and safe medication use. A categorical analysis was completed of the participants' reports and the scientific literature and formed the basis for the design of Mundo de Pólus. RESULTS: The game development process had three pillars (detailed in this manuscript): missions, simulation, and journal. The serious game focuses on the users' perceptions about their experience with the disorder, their interpersonal relationships, coping strategies, use of medications, and non-pharmacological treatments. CONCLUSIONS: These scientific and technological outcomes are useful to promote literacy and safety in medication therapy for people with bipolar disorder.

Health technology assessment for oral health in the past decade: a scoping review.

BACKGROUND: Health technology assessment (HTA) is the systematic evaluation of various properties and effects of a health technology. HTA can serve as a bridge between the world of knowledge and that of decision making, offering decision makers the best summary of scientific evidence. Scoping HTA reports in the context of dentistry can help researchers identify grey areas; help practitioners make evidence-based decisions and further initiate better policy making. AIM: To provide an overview on HTAs pertaining to oral health and dentistry in the past decade, map the extension and scope of the methodological practices, key findings, and limitations. METHODOLOGY: A scoping review was conducted using the Joanna Briggs Institute framework. A comprehensive search for HTA reports was done through the International Network of Agencies for Health Technology Assessment Database from January 2010 to December 2020. Consecutively, electronic databases (PubMed and Google Scholar) were searched. Finally, thirty-six reports were included in this review and analyzed. RESULTS: A total of 709 articles were initially identified, of which thirty-six met the inclusion criteria. Reviewed HTAs focused on various specialties of dentistry worldwide. Maximum number of reports (N = 5) were related to "prosthodontics and dental implants" and technologies related to preventive dentistry were most commonly assessed (N = 4). CONCLUSION: Functional, appropriate, and evidence-based information provided through HTA pertaining to oral health on a regular basis will enable decision makers to have enough data to make decisions on the future use of new technology, modify existing policies, accelerate its translation into practice, and ensure provision of robust dental healthcare services.

Closing the loop between horizon scanning and health technology assessment - an overview of topics submitted for appraisal in England.

OBJECTIVES: Horizon scanning for health technology appraisal (HTA) in England involves topic notification to the National Institute for Health and Care Excellence (NICE) via technology briefings. This activity is undertaken by the Innovation Observatory with submission timelines designed to ensure that HTA decisions align with regulatory approval time. In this paper, we aimed to track and assess the progression and current status of the topics notified for HTA and provide a descriptive analysis of these topics. METHODS: Technology briefings were mapped from submission to NICE technology appraisal/highly specialized technologies recommendations from April 2017 until October 2021. This was done using a combination of searches on Google and NICE website, searching a downloadable spreadsheet containing NICE topic selection decisions, and querying NICE Topic Selection team. Analysis was undertaken regarding type of indications and interventions of submitted topics and published guidance. RESULTS: Six-hundred and ninety-three topics entered the NICE scoping process, of which 94 percent were prioritized. As of November 2021, approximately 39 percent of prioritized topics were in scoping/in progress, 31 percent were proposed/completed, 20 percent were suspended/terminated, and 4 percent were referred back to Innovation Observatory (IO) for further monitoring. CONCLUSIONS: Our work demonstrates that horizon scanning for HTA is a complex and time-intensive process. Timelines and progress through HTA is challenging due to the growing number of innovative medicines, significant uncertainties, and limited transparency in clinical development and regulatory pathways. A better understanding of clinical trials and regulatory requirements may help eliminate some of this uncertainty and improve timely HTA.

Dynamic HTA for digital health solutions: opportunities and challenges for patient-centered evaluation.

OBJECTIVES: Germany's 2019 Digital Healthcare Act (Digitale-Versorgung-Gesetz, or DVG) created a number of opportunities for the digital transformation of the healthcare delivery system. Key among these was the creation of a reimbursement pathway for patient-centered digital health applications (digitale Gesundheitsanwendungen, or DiGA). Worldwide, this is the first structured pathway for "prescribable" health applications at scale. As of October 10, 2023, 49 DiGA were listed in the official directory maintained by Germany's Federal Institute for Drugs and Medical Devices (BfArM); these are prescribable by physicians and psychotherapists and reimbursed by the German statutory health insurance system for all its 73 million beneficiaries. Looking ahead, a major challenge facing DiGA manufacturers will be the generation of the evidence required for ongoing price negotiations and reimbursement. Current health technology assessment (HTA) methods will need to be adapted for DiGA. METHODS: We describe the core issues that distinguish HTA in this setting: (i) explicit allowance for more flexible research designs, (ii) the nature of initial evidence generation, which can be delivered (in its final form) up to one year after becoming reimbursable, and (iii) the dynamic nature of both product development and product evaluation. We present the digital health applications in the German DiGA scheme as a case study and highlight the role of RWE in the successful evaluation of DiGA on an ongoing basis. RESULTS: When a DiGA is likely to be updated and assessed regularly, full-scale RCTs are infeasible; we therefore make the case for using real-world data and real-world evidence (RWE) for dynamic HTAs. CONCLUSIONS: Continous evaluation using RWD is a regulatory innovation that can help improve the quality of DiGAs on the market.

Proposing a health-specific organizational impact framework to evaluate organizational impacts in health technology assessments.

OBJECTIVES: Health technology assessments (HTAs) have traditionally included clinical and cost-effectiveness evaluation of new health technologies (HTs). However, new HTs can generate important organizational impacts (OIs) that influence their overall value. OIs are currently not clearly identified and evaluated in HTA procedures and tools are limited. To address this issue, a comprehensive framework that allows to assess OIs of new HTs in HTAs is proposed. METHODS: A working and methodological group identified the Oslo Manual 2018, 4th edition, OECD/Eurostat, on the objectives and outcomes of commercial innovations as the basis for the OIs framework for HTAs. The Oslo Manual was translated to the healthcare sector and adapted to HTA procedures through a three-step process. RESULTS: The framework is composed of three main parts. Part I tackles the context of the evaluation, Part II the categories of impacts and the specific impacts - in total, 16 OIs were identified - and Part III the stakeholders involved. The central part of the framework is Part II, and consists of three categories of impacts: (i) on the care process, (ii) on the stakeholders' capabilities and skills, and (iii) on society or the community. CONCLUSIONS: This framework provides a comprehensive and structured basis to document OIs of new HTs. It thus contributes to the extension of HTA evaluation criteria to other dimensions than clinical and economic aspects, that is, organizational aspects. Some of its intrinsic limitations and the questions they raise in the field for policy-makers, practitioners, and researchers are discussed.

The Use of Sensors to Prevent, Predict Transition to Chronic and Personalize Treatment of Low Back Pain: A Systematic Review.

Non-specific low back pain (NSLBP) is a highly prevalent condition that implies substantial expenses and affects quality of life in terms of occupational and recreational activities, physical and psychological health, and general well-being. The diagnosis and treatment are challenging processes due to the unknown underlying causes of the condition. Recently, sensors have been included in clinical practice to implement its management. In this review, we furthered knowledge about the potential benefits of sensors such as force platforms, video systems, electromyography, or inertial measure systems in the assessment process of NSLBP. We concluded that sensors could identify specific characteristics of this population like impaired range of movement, decreased stability, or disturbed back muscular activation. Sensors could provide sufferers with earlier diagnosis, prevention strategies to avoid chronic transition, and more efficient treatment approaches. Nevertheless, the review has limitations that need to be considered in the interpretation of results.

[Performance in prognostic capacity and efficiency of the Thoracic Care Suite GE AI tool applied to chest radiography of patients with COVID-19 pneumonia]. / Eficacia de la capacidad y la eficiencia pronósticas de la herramienta de inteligencia artificial Thoracic Care Suite de GE aplicada a la radiografía torácica de pacientes con neumonía por COVID-19.

OBJECTIVE: Rapid progression of COVID-19 pneumonia may put patients at risk of requiring ventilatory support, such as non-invasive mechanical ventilation or endotracheal intubation. Implementing tools that detect COVID-19 pneumonia can improve the patient's healthcare. We aim to evaluate the efficacy and efficiency of the artificial intelligence (AI) tool GE Healthcare's Thoracic Care Suite (featuring Lunit INSIGHT CXR, TCS) to predict the ventilatory support need based on pneumonic progression of COVID-19 on consecutive chest X-rays. METHODS: Outpatients with confirmed SARS-CoV-2 infection, with chest X-ray (CXR) findings probable or indeterminate for COVID-19 pneumonia, who required a second CXR due to unfavorable clinical course, were collected. The number of affected lung fields for the two CXRs was assessed using the AI tool. RESULTS: One hundred fourteen patients (57.4 ± 14.2 years, 65 -57%- men) were retrospectively collected. Fifteen (13.2%) required ventilatory support. Progression of pneumonic extension ≥ 0.5 lung fields per day compared to pneumonia onset, detected using the TCS tool, increased the risk of requiring ventilatory support by 4-fold. Analyzing the AI output required 26 seconds of radiological time. CONCLUSIONS: Applying the AI tool, Thoracic Care Suite, to CXR of patients with COVID-19 pneumonia allows us to anticipate ventilatory support requirements requiring less than half a minute.

Two Immersive Virtual Reality Tasks for the Assessment of Spatial Orientation in Older Adults with and Without Cognitive Impairment: Concurrent Validity, Group Comparison, and Accuracy Results.

OBJECTIVE: Spatial disorientation is common in Alzheimer's disease (AD), Mild Cognitive Impairment (MCI), and preclinical individuals with AD biomarkers. However, traditional neuropsychological tests lack ecological validity for the assessment of spatial orientation and to date, there is still no gold standard. The current study aimed to determine the validity and accuracy of two virtual reality tasks for the assessment of spatial orientation. METHODS: We adapted two spatial orientation tasks to immersive virtual environments: a "survey to route" task in which participants had to transfer information from a map to their body position within a maze [Spatial Orientation in Immersive Virtual Environment Test (SOIVET) Maze], and an allocentric-type, route learning task, with well-established topographic landmarks (SOIVET Route). A total of 19 MCI patients and 29 cognitively healthy older adults aged 61-92 participated in this study. Regular neuropsychological assessments were used for correlation analysis and participant performances were compared between groups. Receiver Operating Characteristic (ROC) curve analysis was performed for accuracy. RESULTS: The SOIVET Maze correlated with measures of visuoperception, mental rotation, and planning, and was not related to age, educational level, or technology use profile. The SOIVET Route immediate correlated with measures of mental rotation, memory, and visuoconstruction, and was influenced only by education. Both tasks significantly differentiated MCI and control groups, and demonstrated moderate accuracy for the MCI diagnosis. CONCLUSION: Traditional neuropsychological assessment presents limitations and immersive environments allow for the reproduction of complex cognitive processes. The two immersive virtual reality tasks are valid tools for the assessment of spatial orientation and should be considered for cognitive assessments of older adults.

Redefining Health Technology Assessment: A Comment on "The New Definition of Health Technology Assessment: A Milestone in International Collaboration".

A new definition of health technology assessment (HTA), developed by an International Joint Task Group claims to be a "milestone," "an historic achievement," and "a cornerstone reference"-claims that we think to be unjustified. We too favor clear definitions, especially when confusion abounds. However, the Task Group seems to have developed a definition without the help of usual conventions regarding definitions and, in our view, through an ill-described process. A definition ought to differentiate the entity defined from other entities. This one fails to do so. It states traits that are true of HTA (e.g., that is interdisciplinary) but HTA is not alone in this. There are other concerns: examples of HTA's use are embodied in the definition, precluding other uses; the adjectives used, although generally true of HTA, are not differentiating features; and attributing to HTA specific purposes, thereby excluding other purposes. We have sympathy for these purposes but cannot consider them HTA's only purposes or even, its main purpose. A newcomer to HTA, on reading this definition, will have no idea of HTA's true potential. These numerous failings, we feel, send all the wrong signals, and could ultimately weaken, rather than strengthen perceptions of HTA's legitimacy and objectivity. The production of a good definition remains, therefore, a work in progress.

Association of number of bites and eating speed with energy intake: Wearable technology results under free-living conditions.

Personalized weight management strategies are gaining interest. However, knowledge is limited regarding eating habits and association with energy intake, and current technologies limit assessment in free-living situations. We assessed associations between eating behavior and time of day with energy intake using a wearable camera under free-living conditions and explored if obesity modifies the associations. Sixteen participants (50% with obesity) recorded free-living eating behaviors using a wearable fish-eye camera for 14 days. Videos were viewed by trained annotators who confirmed number of bites, eating speed, and time of day for each eating episode. Energy intake was determined by a trained dietitian performing 24-h diet recalls. Greater number of bites, reduced eating speed, and increased BMI significantly predicted higher energy intake among all participants (P < 0.05, each). There were no significant interactions between obesity and number of bites, eating speed, or time of day (p > 0.05). Greater number of bites and reduced eating speed were significantly associated with higher energy intake in participants without obesity. Results show that under free-living conditions, more bites and slower eating speed predicted higher energy intake when examining consumption of foods with beverages. Obesity did not modify these associations. Findings highlight how eating behaviors can impact energy balance and can inform weight management interventions using wearable technology.

Frustration With Technology and its Relation to Emotional Exhaustion Among Health Care Workers: Cross-sectional Observational Study.

BACKGROUND: New technology adoption is common in health care, but it may elicit frustration if end users are not sufficiently considered in their design or trained in their use. These frustrations may contribute to burnout. OBJECTIVE: This study aimed to evaluate and quantify health care workers' frustration with technology and its relationship with emotional exhaustion, after controlling for measures of work-life integration that may indicate excessive job demands. METHODS: This was a cross-sectional, observational study of health care workers across 31 Michigan hospitals. We used the Safety, Communication, Operational Reliability, and Engagement (SCORE) survey to measure work-life integration and emotional exhaustion among the survey respondents. We used mixed-effects hierarchical linear regression to evaluate the relationship among frustration with technology, other components of work-life integration, and emotional exhaustion, with adjustment for unit and health care worker characteristics. RESULTS: Of 15,505 respondents, 5065 (32.7%) reported that they experienced frustration with technology on at least 3-5 days per week. Frustration with technology was associated with higher scores for the composite Emotional Exhaustion scale (r=0.35, P<.001) and each individual item on the Emotional Exhaustion scale (r=0.29-0.36, P<.001 for all). Each 10-point increase in the frustration with technology score was associated with a 1.2-point increase (95% CI 1.1-1.4) in emotional exhaustion (both measured on 100-point scales), after adjustment for other work-life integration items and unit and health care worker characteristics. CONCLUSIONS: This study found that frustration with technology and several other markers of work-life integration are independently associated with emotional exhaustion among health care workers. Frustration with technology is common but not ubiquitous among health care workers, and it is one of several work-life integration factors associated with emotional exhaustion. Minimizing frustration with health care technology may be an effective approach in reducing burnout among health care workers.

The Importance of Real-World Validation of Machine Learning Systems in Wearable Exercise Biofeedback Platforms: A Case Study.

Machine learning models are being utilized to provide wearable sensor-based exercise biofeedback to patients undertaking physical therapy. However, most systems are validated at a technical level using lab-based cross validation approaches. These results do not necessarily reflect the performance levels that patients and clinicians can expect in the real-world environment. This study aimed to conduct a thorough evaluation of an example wearable exercise biofeedback system from laboratory testing through to clinical validation in the target setting, illustrating the importance of context when validating such systems. Each of the various components of the system were evaluated independently, and then in combination as the system is designed to be deployed. The results show a reduction in overall system accuracy between lab-based cross validation (>94%), testing on healthy participants (n = 10) in the target setting (>75%), through to test data collected from the clinical cohort (n = 11) (>59%). This study illustrates that the reliance on lab-based validation approaches may be misleading key stakeholders in the inertial sensor-based exercise biofeedback sector, makes recommendations for clinicians, developers and researchers, and discusses factors that may influence system performance at each stage of evaluation.

Interest in oral health education through digital technologies: a cross-sectional study.

The aim of this study was to evaluate the interest of parents and caregivers of children and adolescents in receiving oral health education through digital technologies. A cross-sectional study was carried out with 150 parents and caregivers who provided sociodemographic data and answered questions about access to and interest in receiving oral health information through digital technologies. Descriptive and bivariate analyses were performed (P < 0.05). The majority of respondents (74.7%) were female. Most participants had access to the internet (91.3%) and expressed interest (88.0%) in receiving information on oral health through digital messages. Their preferred mode of communication was WhatsApp (73.0%), and they believed that messages about oral health could lead to improved daily oral care at home (95.9%). Women reported searching for health information on the internet more often than men (P = 0.004). Parents and caregivers of children and adolescents expressed interest in receiving information via digital technologies, suggesting that these tools can facilitate education and promote improved oral health.