CGM the pros for all diabetic patients on insulin, good read!! #cgm #professor #diabetes #insulintreatment #selfmonitoring #remotemonitoring

Self-monitoring regime will change to plug loophole that allowed failing sewage plants to pass pollution checks

A new UK survey finds 79% of adults track their health, but experts warn that self-monitoring can cause anxiety, confusion and widen digital health gaps.

Actor Nicolas Bro reigns supreme in the role of Nicolas Bro – a man intent on making a film about himself. After his director friend Christoffer Boe lends him a camera, his selfmonitoring is so hair-raisingly private that it becomes impossible to separate fact from fiction.

Why modern life makes everything feel performative — even authenticity — and how self-awareness quietly turns into self-surveillance.

Access ready-made dashboards that visualize your collector fleet. Or, drill down into specific collectors for performance analysis.

YouTube video by Insight Newsletter

Background: With the ubiquity of smartphones, #Digital self-report instruments have enormous potential to support the general population in monitoring their #MentalHealth. A primary challenge for researchers committed to advancing this work is simply to scope the plethora of widely used candidate instruments. The overarching aim of this study was to address this challenge to support and guide future research in this burgeoning area. Objective: This study aimed to conduct a literature review of self-report instruments used in empirical studies to measure #MentalHealth (1) in the general population, (2) delivered in a #Digital format, and (3) in longitudinal designs. Given the wide range of recognized “#MentalHealth” constructs, the review’s search strategies were guided by Keyes’ dual continua model of #MentalHealth, recognizing both deficits- and strengths-based constructs. This study’s primary objective was to develop a first-of-its-kind ranking and synthesis of the most frequently used instruments that are potentially suitable for #MentalHealth self-monitoring. It was not an objective of this study to evaluate psychometric properties of the identified instruments—we hope the present ranking and synthesis will provide the foundation for future research into optimal #Digital, prospective self-report of #MentalHealth. Methods: Five major electronic databases were searched. Studies that administered #Digital #MentalHealth instruments (in English) repeatedly to community dwellers in the general adult population were eligible. The included studies were grouped by instruments for synthesis using a narrative #Approach. Results: Preliminary screening of 95,849 records identified 8460 eligible records, among which 1000 records were randomly selected over 4 iterations for full-text screening. A total of 223 records were included. We found that the top 30 most commonly used instruments accounted for 78.4% (308/393) of the total usage across studies. These instruments predominantly measure deficits-based #MentalHealth constructs. The Patient #Health Questionnaire 9 Items and Generalized #anxiety Disorder 7 Items were by far the most used instruments. The most commonly measured strengths-based constructs were life satisfaction and mental well-being. Conclusions: The findings of this review strongly suggest that scientific investigation of #MentalHealth constructs across time on #Digital platforms still prioritizes deficits-focused instruments originally developed for pen-and-paper administration using classical test theory. These findings are discussed in light of evidence in the literature that deficits-focused instruments demonstrate inferior distributional properties (floor effects) in the general population and theory suggesting that both deficits- and strengths-focused measurements are required to holistically assess #MentalHealth. Limitations of the review include the restricted focus on English language instruments and the pragmatic #Approach to selecting records for full-text screening. It is concluded that, in the smartphone age, it would be timely to develop new #Digital instruments framed by holistic models of #MentalHealth and using contemporary test construction #Approaches. Trial Registration: PROSPERO CRD42022306547; https://www.crd.york.ac.uk/PROSPERO/view/CRD42022306547

Background: Lifestyle behaviors strongly predict cardiovascular morbidity and mortality, emphasizing the need for strategies that support sustained lifestyle changes in patients with cardiac disease. Digital health solutions, including wearables, mobile apps, and chatbots, enable self-monitoring of lifestyle behaviors but often face challenges with engagement and #usability. While self-monitoring systems can increase awareness and accountability, maintaining user engagement remains crucial for their effectiveness in promoting behavior change and long-term improvements. Objective: This study evaluated patient experiences with a lifestyle monitoring system combining a web application, health watch, and chatbot. We explored facilitators of and barriers to long-term adherence and assessed the impact of self-monitoring on lifestyle awareness and behavior change in patients with cardiac disease. Methods: We conducted a mixed methods study with patients who used an eHealth platform for self-monitoring lifestyle behaviors during 1 year following an invasive cardiac procedure. This study included 100 patients (mean age 61.6, SD 10.4 y; n=88, 88% male) comprising both completers (n=57, 57%) and dropouts (n=43, 43%). Patients engaged in quarterly phone interviews and questionnaires and completed an end-of-study questionnaire. Completers participated in a structured evaluation interview; dropouts provided a reason for discontinuation. Quantitative and qualitative data analyses focused on #usability, long-term adherence facilitators and barriers, lifestyle awareness, and behavior change. Results: Patients completed 157 quarterly questionnaires (n=145, 92.4% by completers and n=12, 7.6% by dropouts) and 217 phone interviews (n=171, 78.8% with completers and n=46, 21.2% with dropouts). In total, 77 patients (of whom n=54, 70% were completers and n=23, 30% were dropouts) completed end-of-study questionnaires, and 98% (56/57) of completers participated in the evaluation interviews. Completers reported higher perceptions of the platform’s usefulness, ease of use, and satisfaction (P