1446 results found
Ahmed I, Ahmad NS, Ali S, et al., Medication adherence apps: A review and content analysis, JMIR mHealth and uHealth, ISSN: 2291-5222
Background:Medication adherence is a costly and damaging problem for both healthcare providers and patients alike. Patients adhere to only 50% of drugs prescribed for chronic diseases in developed nations. Digital health has paved the way for innovative smartphone solutions to tackle this challenge. However, despite the numerous applications (apps) available claiming to improve adherence, a thorough review of adherence applications has not been carried out to date.Objective:(i)To review medication adherence apps (otherwise known as mAdherence app) in the Apple App store and the Google Play repository in terms of their evidence base, medical professional involvement in development, and strategies used to facilitate behaviour change and improve adherence.(ii)To provide a system of classification for these apps. Methods:In April 2015, relevant mAdherence apps were identified by systematically searching the Apple and Google Play app stores using a combination of relevant search terms. Data extracted for each app included app store source, app price, documentation of healthcare professional (HCP) involvement during app development and evidence base for each respective app.Free apps were downloaded to explore the strategies used to promote medication adherence. Testing involved a standardised medication regimen of three reminders over a four-hour period. Non-adherence features designed to enhance user experience were also documented.Results:The App repository search identified a total of 5889 applications. 806 fulfilled the inclusion criteria initially and were tested. 682 applications were further analysed for data extraction. Of these, 61.7% were free for testing, 8.5% were inaccessible and 29.8% required payment. Of the 421 free applications, 13.8% were developed with HCP involvement and an evidence base was identified in only 0.95%. Of the paid apps, 4.4% had HCP involvement, 0.5% had a documented evidence base and 0.5% had both. 31% of inaccessible apps were produce
Archer SA, Hull L, Soukup T, et al., Development of a Theoretical Framework of Factors Affecting Patient Safety Incident Reporting: A Theoretical Review of the Literature, BMJ Open, ISSN: 2044-6055
Attaelmanan I, Bhatti YA, Harris M, et al., The development and diffusion of surgical frugal innovations – lessons for the NHS, LSE International Health Policy Conference 2017
Bhatti YA, Prime M, Harris M, et al., The Search for the Holy Grail -- Frugal Innovation in Healthcare from Developing Countries for Reverse Innovation to Developed Countries, BMJ Innovations, ISSN: 2055-642X
Byrne B, Aylin P, Bottle RA, et al., Failure to engage in surgical quality improvement research is associated with poorer quality of care, Royal Society of Medicine, Coloproctology section: Overseas meeting in Leuven
Byrne B, Faiz O, Darzi A, et al., Do gastrointestinal cancer patients want to decide where they have tests and surgery? A questionnaire study., Digestive Disorders Federation
Flott K, Darzi A, Gancarczyk S, et al., Improving the usefulness and use of patient survey programmes: Views from the frontline, Journal of Medical Internet Research, ISSN: 1438-8871
Glaysher M, Mohanaruban A, Prechtl CG, et al., Study Protocol: A randomized controlled trial of a duodenal-jejunal bypass sleeve device (EndoBarrier®) compared with standard medical therapy for the management of obese subjects with type 2 diabetes mellitus., BMJ Open, ISSN: 2044-6055
Khan DZ, Oude Vrielink TJC, Marcus H, et al., NeuroCYCLOPS: development and preclinical validation of a robotic platform for endoscopic neurosurgery, European Association of Neurosurgical Societies (EANS 2016), Publisher: European Association of Neurosurgical Societies
Kogkas A, Darzi A, Mylonas GP, Gaze-Driven Human-Robot Interaction in the Operating Theatre, 6th Joint Workshop on New Technologies for Computer/Robot Assisted Surgery (CRAS 2016)
Leff DR, Shetty K, Yang GZ, et al., Persistent Attentional Demands Despite Laparoscopic Skills Acquisition, JAMA Surgery, ISSN: 2168-6262
Marcus HJ, Hughes-Hallett A, Payne CJ, et al., TRENDS IN THE DIFFUSION OF ROBOTIC SURGERY: A RETROSPECTIVE OBSERVATIONAL STUDY, International Journal of Medical Robotics and Computer Assisted Surgery, ISSN: 1478-5951
Modi HN, Singh H, Yang G, et al., A decade of imaging surgeons' brain function (Part II): a systematic review of applications for technical and non-technical skills assessment, Surgery, ISSN: 1532-7361
Background: Functional neuroimaging technologies enable assessment of operator brain function, and can deepen our understanding of skills learning, ergonomic optima and cognitive processes in surgeons. Whilst there has been a critical mass of data detailing surgeons’ brain function, this literature has not been systematically reviewed.Methods: A systematic search of original neuroimaging studies assessing surgeons’ brain function, and published up until November 2016, was conducted using Medline, Embase and PsycINFO databases.Results: Twenty-seven studies fulfilled the inclusion criteria, including three feasibility studies, fourteen studies exploring the neural correlates of technical skill acquisition, and the remainder investigating brain function in the context of intraoperative decision-making (n=1), neurofeedback training (n=1), robot-assisted technology (n=5), and surgical teaching (n=3). Early stages of learning open surgical tasks (knot-tying) are characterised by prefrontal cortical (PFC) activation which subsequently attenuates with deliberate practice. However, with complex laparoscopic skills (intra-corporeal suturing), PFC engagement requires substantial training and attenuation occurs over a longer time-course, following years of refinement. Neurofeedback and interventions that improve neural efficiency may enhance technical performance and skills learning. Conclusions: Imaging surgeons’ brain function has identified neural signatures of expertise which might help inform objective assessment and selection processes. Interventions which improve neural efficiency may target skill-specific brain regions and augment surgical performance.
king HK, shang JS, liu JL, et al., Micro-IGES Robot for Transanal Robotic Microsurgery., In The Hamlyn Symposium on Medical Robotics.
patel NP, seneci CS, yang GZY, et al., Flexible platforms for natural orifice transluminal and endoluminal surgery. Endoscopy International Open, 2(02), E117-E123., Endoscopy International Open
Orihuela-Espina F, Leff DR, James DRC, et al., 2018, Imperial College near infrared spectroscopy neuroimaging analysis framework., Neurophotonics, Vol: 5, ISSN: 2329-423X
This paper describes the Imperial College near infrared spectroscopy neuroimaging analysis (ICNNA) software tool for functional near infrared spectroscopy neuroimaging data. ICNNA is a MATLAB-based object-oriented framework encompassing an application programming interface and a graphical user interface. ICNNA incorporates reconstruction based on the modified Beer-Lambert law and basic processing and data validation capabilities. Emphasis is placed on the full experiment rather than individual neuroimages as the central element of analysis. The software offers three types of analyses including classical statistical methods based on comparison of changes in relative concentrations of hemoglobin between the task and baseline periods, graph theory-based metrics of connectivity and, distinctively, an analysis approach based on manifold embedding. This paper presents the different capabilities of ICNNA in its current version.
Abeles A, Kwasnicki RM, Darzi A, 2017, Enhanced recovery after surgery: Current research insights and future direction, WORLD JOURNAL OF GASTROINTESTINAL SURGERY, Vol: 9, Pages: 37-45, ISSN: 1948-9366
Abeles A, Kwasnicki RM, Geoghegan L, et al., 2017, Wearable activity sensors: Using physical activity to predict length of hospital stay?, International Congress of the Association-of-Surgeons-of-Great-Britain-and-Ireland, Publisher: WILEY, Pages: 53-53, ISSN: 0007-1323
Abeles A, Kwasnicki RM, Pettengell C, et al., 2017, The relationship between physical activity and post-operative length of hospital stay: A systematic review, INTERNATIONAL JOURNAL OF SURGERY, Vol: 44, Pages: 295-302, ISSN: 1743-9191
Acharya A, Markar SR, Sodergren MH, et al., 2017, Meta-analysis of adjuvant therapy following curative surgery for periampullary adenocarcinoma, BRITISH JOURNAL OF SURGERY, Vol: 104, Pages: 814-822, ISSN: 0007-1323
Alexander J, Gildea L, Balog J, et al., 2017, A novel methodology for in vivo endoscopic phenotyping of colorectal cancer based on real-time analysis of the mucosal lipidome: a prospective observational study of the iKnife, SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES, Vol: 31, Pages: 1361-1370, ISSN: 0930-2794
Alexander J, Poynter L, Scott A, et al., 2017, A PROSPECTIVE MULTI-CENTERED ANALYSIS OF THE RECTAL CANCER MUCOSAL MICROBIOME DURING NEOADJUVANT LONG COURSE CHEMORADIOTHERAPY., Annual Meeting of the American-Society-of-Colon-and-Rectal-Surgeons, Publisher: LIPPINCOTT WILLIAMS & WILKINS, Pages: E118-E118, ISSN: 0012-3706
Bagnall NM, Pucher PH, Johnston MJ, et al., 2017, Informing the process of consent for surgery: identification of key constructs and quality factors, JOURNAL OF SURGICAL RESEARCH, Vol: 209, Pages: 86-92, ISSN: 0022-4804
Beyer-Berjot L, Pucher P, Patel V, et al., 2017, Colorectal surgery and enhanced recovery: Impact of a simulation-based care pathway training curriculum., J Visc Surg
BACKGROUND: The aim was to determine whether a simulation-based care pathway approach (CPA) curriculum could improve compliance for enhanced recovery programs (ERP), and residents' participation in laparoscopic colorectal surgery (LCS). Indeed, trainee surgeons have limited access to LCS as primary operator, and ERP have improved patients' outcomes in colorectal surgery (CS). METHODS: All residents of our department were trained in a simulation-based CPA: perioperative training consisted in virtual patients built according to guidelines in both ERP and CS, whilst intraoperative training involved a virtual reality simulator curriculum. Twenty consecutive patients undergoing CS were prospectively included before (n=10) and after (n=10) the training. All demographic and perioperative data were prospectively collected, including compliance for ERP. Residents' participation as primary operator in LCS was measured. RESULTS: Five residents (PGY 4-7) were enrolled. None had performed LCS as primary operator. Overall satisfaction and usefulness were both rated 4.5/5, usefulness of pre-, post- and intraoperative training was rated 5/5, 4.5/5 and 4/5, respectively. Residents' participation in LCS significantly improved after the training (0% (0-100) vs. 82.5% (10-100); P=0.006). Pre- and intraoperative data were comparable between groups. Postoperative morbidity was also comparable. Compliance for ERP improved at Day 2 in post-training patients (3 (30%) vs. 8 (80%); P=0.035). Length of stay was not modified. CONCLUSIONS: A simulated CPA curriculum to training in LCS and ERP was correctly implemented. It seemed to improve compliance for ERP, and promoted residents participation as primary operator without adversely altering patients' outcomes.
Bouras G, Burns EM, Howell AM, et al., 2017, Linked hospital and primary care database analysis of the impact of short-term complications on recurrence in laparoscopic inguinal hernia repair, HERNIA, Vol: 21, Pages: 191-198, ISSN: 1265-4906
Bouras G, Markar SR, Burns EM, et al., 2017, The psychological impact of symptoms related to esophagogastric cancer resection presenting in primary care: A national linked database study, EJSO, Vol: 43, Pages: 454-460, ISSN: 0748-7983
Callender T, Riley J, Broadhurst H, et al., 2017, The Determinants of Dying Where We Choose: An Analysis of Coordinate My Care., Ann Intern Med, Vol: 167, Pages: 519-521
Camara M, Mayer E, Darzi A, et al., 2017, Simulation of Patient-Specific Deformable Ultrasound Imaging in Real Time, Pages: 11-18, ISSN: 0302-9743
© 2017, Springer International Publishing AG. Intraoperative ultrasound is an imaging modality frequently used to provide delineation of tissue boundaries. This paper proposes a simulation platform that enables rehearsal of patient-specific deformable ultrasound scanning in real-time, using preoperative CT as the data source. The simulation platform was implemented within the GPU-accelerated NVIDIA FleX position-based dynamics framework. The high-resolution particle model is used to deform both surface and volume meshes. The latter is used to compute the barycentric coordinates of each simulated ultrasound image pixel in the surrounding volume, which is then mapped back to the original undeformed CT volume. To validate the computation of simulated ultrasound images, a kidney phantom with an embedded tumour was CT-scanned in the rest position and at five different levels of probe-induced deformation. Measures of normalised cross-correlation and similarity between features were adopted to compare pairs of simulated and ground truth images. The accurate results demonstrate the potential of this approach for clinical translation.
Carter AW, Mandavia R, Mayer E, et al., 2017, Systematic review of economic analyses in patient safety: a protocol designed to measure development in the scope and quality of evidence., BMJ Open, Vol: 7
INTRODUCTION: Recent avoidable failures in patient care highlight the ongoing need for evidence to support improvements in patient safety. According to the most recent reviews, there is a dearth of economic evidence related to patient safety. These reviews characterise an evidence gap in terms of the scope and quality of evidence available to support resource allocation decisions. This protocol is designed to update and improve on the reviews previously conducted to determine the extent of methodological progress in economic analyses in patient safety. METHODS AND ANALYSIS: A broad search strategy with two core themes for original research (excluding opinion pieces and systematic reviews) in 'patient safety' and 'economic analyses' has been developed. Medline, Econlit and National Health Service Economic Evaluation Database bibliographic databases will be searched from January 2007 using a combination of medical subject headings terms and research-derived search terms (see table 1). The method is informed by previous reviews on this topic, published in 2012. Screening, risk of bias assessment (using the Cochrane collaboration tool) and economic evaluation quality assessment (using the Drummond checklist) will be conducted by two independent reviewers, with arbitration by a third reviewer as needed. Studies with a low risk of bias will be assessed using the Drummond checklist. High-quality economic evaluations are those that score >20/35. A qualitative synthesis of evidence will be performed using a data collection tool to capture the study design(s) employed, population(s), setting(s), disease area(s), intervention(s) and outcome(s) studied. Methodological quality scores will be compared with previous reviews where possible. Effect size(s) and estimate uncertainty will be captured and used in a quantitative synthesis of high-quality evidence, where possible. ETHICS AND DISSEMINATION: Formal ethical approval is not required as primary data will not be collected. T
Chana P, Joy M, Casey N, et al., 2017, Cohort analysis of outcomes in 69 490 emergency general surgical admissions across an international benchmarking collaborative, BMJ OPEN, Vol: 7, ISSN: 2044-6055
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