Notes

Relative evaluation of the Sticky-Resting-Box-Trap, the actual standard resting-bucket-trap and indoor faith with regard to testing malaria vectors.
week (OR 1.08, 95% CI 1.04-1.13; P less then .001). CONCLUSIONS Multimedia message delivery for PTSD treatment showed symptom-reduction rates similar to traditional forms of treatment delivery, suggesting further study of messaging as a treatment medium. Most patients completed an 8-week course, reflecting the acceptability of messaging interventions. Delivering treatment via two-way messaging offers increased opportunities for widespread access to mental health care. G6PDi-1 price ©Matteo Malgaroli, Thomas Derrick Hull, Shannon Wiltsey Stirman, Patricia Resick. Originally published in the Journal of Medical Internet Research (http//www.jmir.org), 29.04.2020.BACKGROUND Although clinical decision support (CDS) alerts are effective reminders of best practices, their effectiveness is blunted by clinicians who fail to respond to an overabundance of inappropriate alerts. An electronic health record (EHR)-integrated machine learning (ML) algorithm is a potentially powerful tool to increase the signal-to-noise ratio of CDS alerts and positively impact the clinician's interaction with these alerts in general. OBJECTIVE This study aimed to describe the development and implementation of an ML-based signal-to-noise optimization system (SmartCDS) to increase the signal of alerts by decreasing the volume of low-value herpes zoster (shingles) vaccination alerts. METHODS We built and deployed SmartCDS, which builds personalized user activity profiles to suppress shingles vaccination alerts unlikely to yield a clinician's interaction. We extracted all records of shingles alerts from January 2017 to March 2019 from our EHR system, including 327,737 encounters, 780 providers, and nzalez, Eduardo Iturrate, Yin Aphinyanaphongs, Devin Mann. Originally published in the Journal of Medical Internet Research (http//www.jmir.org), 29.04.2020.BACKGROUND Bronchial asthma remains a clinical enigma with poorly controlled symptoms or exacerbations despite regular use of inhaled corticosteroids. Home nebulization offers a simplified solution for the delivery of rescue and maintenance bronchodilators, which is especially true for patients with frequent exacerbations during management of uncontrolled or difficult-to-treat asthma. OBJECTIVE We aimed to assess the clinical impact and outcomes associated with home nebulization-delivered long-acting bronchodilators for uncontrolled or difficult-to-treat asthma. METHODS This observational, concurrent study was conducted with 60 patients at 2 centers during November 2018. Statistical analyses for prebronchodilator forced expiratory volume in one second (FEV1) and Global Initiative for Asthma (GINA) asthma control score in patients on long-acting bronchodilators and corticosteroids were conducted, with two-tailed P values less then .05 considered statistically significant. RESULTS Per protocol analyses (53/60)omatic difficult-to-treat asthma cases with frequent use of rescue medications. Glycopyrronium as add-on therapy offers a synergistic response in patients on corticosteroids with difficult-to-treat asthma. TRIAL REGISTRATION Clinical Trial Registry of India CTRI/2018/11/016319; https//tinyurl.com/y78cctm3. ©Deepak Talwar, Salil Bendre. Originally published in the Interactive Journal of Medical Research (http//www.i-jmr.org/), 29.04.2020.BACKGROUND The United States spends more than US $100 billion annually on the impact of medication misuse. Serious games are effective and innovative digital tools for educating patients about positive health behaviors. There are limited systematic reviews that examine the prevalence of serious games that incorporate medication use. OBJECTIVE This systematic review aimed to identify (1) serious games intended to educate patients about medication adherence, education, and safety; (2) types of theoretical frameworks used to develop serious games for medication use; and (3) sampling frames for evaluating serious games on medication use. METHODS PubMed, Scopus, and Web of Science databases were searched for literature about medication-based serious games for patients. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed for article selection. RESULTS Using PRISMA guidelines, 953 publications and 749 unique titles were identified from PubMed, Scopus, and Web of Sciention of learning objectives. ©Olufunmilola Abraham, Sarah LeMay, Sarah Bittner, Tanvee Thakur, Haley Stafford, Randall Brown. Originally published in JMIR Serious Games (http//games.jmir.org), 29.04.2020.BACKGROUND Diabetic retinopathy (DR), a common complication of diabetes mellitus, is the leading cause of impaired vision in adults worldwide. Smartphone ophthalmoscopy involves using a smartphone camera for digital retinal imaging. Utilizing smartphones to detect DR is potentially more affordable, accessible, and easier to use than conventional methods. OBJECTIVE This study aimed to determine the diagnostic accuracy of various smartphone ophthalmoscopy approaches for detecting DR in diabetic patients. METHODS We performed an electronic search on the Medical Literature Analysis and Retrieval System Online, EMBASE, and Cochrane Library for literature published from January 2000 to November 2018. We included studies involving diabetic patients, which compared the diagnostic accuracy of smartphone ophthalmoscopy for detecting DR to an accurate or commonly employed reference standard, such as indirect ophthalmoscopy, slit-lamp biomicroscopy, and tabletop fundus photography. Two reviewers independently screened st%-99%); diabetic macular edema was 79% (63%-89%) and 93% (82%-97%); and referral-warranted DR was 91% (86%-94%) and 89% (56%-98%). The area under SROC curve ranged from 0.879 to 0.979. The diagnostic odds ratio ranged from 11.3 to 1225. CONCLUSIONS We found heterogeneous evidence showing that smartphone ophthalmoscopy performs well in detecting DR. The diagnostic accuracy for PDR was highest. Future studies should standardize reference criteria and classification criteria and evaluate other available forms of smartphone ophthalmoscopy in primary care settings. CLINICALTRIALBACKGROUND Digital health is a dynamic field that has been generating a large number of tools; many of these tools do not have the level of maturity required to function in a sustainable model. It is in this context that the concept of global goods maturity is gaining importance. Digital Square developed a global good maturity model (GGMM) for digital health tools, which engages the digital health community to identify areas of investment for global goods. The Surveillance Outbreak Response Management and Analysis System (SORMAS) is an open-source mobile and web application software that we developed to enable health workers to notify health departments about new cases of epidemic-prone diseases, detect outbreaks, and simultaneously manage outbreak response. OBJECTIVE The objective of this study was to evaluate the maturity of SORMAS using Digital Square's GGMM and to describe the applicability of the GGMM on the use case of SORMAS and identify opportunities for system improvements. METHODS We evaluated SORMAS using the GGMM version 1.
Here's my website: https://www.selleckchem.com/products/g6pdi-1.html