Imperial College London

DrLorainneTudor Car

Faculty of MedicineSchool of Public Health

Honorary Senior Research Fellow
 
 
 
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Contact

 

l.tudor.car

 
 
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Location

 

Reynolds BuildingCharing Cross Campus

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Summary

 

Publications

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180 results found

Tudor Car L, Dhinagaran DA, Kyaw BM, Kowatsch T, Joty S, Theng Y-L, Atun Ret al., 2019, Conversational Agents in Health Care: Scoping Review and Conceptual Analysis (Preprint)

<sec> <title>BACKGROUND</title> <p>Conversational agents, also known as chatbots, are computer programs designed to simulate human text or verbal conversations. They are increasingly used in a range of fields, including health care. By enabling better accessibility, personalization, and efficiency, conversational agents have the potential to improve patient care.</p> </sec> <sec> <title>OBJECTIVE</title> <p>This study aimed to review the current applications, gaps, and challenges in the literature on conversational agents in health care and provide recommendations for their future research, design, and application.</p> </sec> <sec> <title>METHODS</title> <p>We performed a scoping review. A broad literature search was performed in MEDLINE (Medical Literature Analysis and Retrieval System Online; Ovid), EMBASE (Excerpta Medica database; Ovid), PubMed, Scopus, and Cochrane Central with the search terms “conversational agents,” “conversational AI,” “chatbots,” and associated synonyms. We also searched the gray literature using sources such as the OCLC (Online Computer Library Center) WorldCat database and ResearchGate in April 2019. Reference lists of relevant articles were checked for further articles. Screening and data extraction were performed in parallel by 2 reviewers. The included evidence was analyzed narratively by employing the principles of thematic analysis.</p> </sec> <sec> <title>RESULTS</title> <p>The literature search yielded 47 study reports (45 articles and 2 ongoing clinical trials) tha

Journal article

Tan CH, Kyaw BM, Smith H, Tan CS, Tudor Car Let al., 2019, Use of Smartphones to Detect Diabetic Retinopathy: Scoping Review and Meta-Analysis of Diagnostic Test Accuracy Studies (Preprint)

<sec> <title>BACKGROUND</title> <p>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.</p> </sec> <sec> <title>OBJECTIVE</title> <p>This study aimed to determine the diagnostic accuracy of various smartphone ophthalmoscopy approaches for detecting DR in diabetic patients.</p> </sec> <sec> <title>METHODS</title> <p>We performed an electronic search on the Medical Literature Analysis and Retrieval System Online (MEDLINE), 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 studies against the inclusion criteria, extracted data, and assessed the quality of included studies using the Quality Assessment of Diagnostic Accuracy Studies–2 tool, with disagreements resolved via consensus. Sensitivity and specificity were pooled using the random effects model. A summary receiver operating characteristic (SROC) curve was constructed. This review is reported in line with the Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies guidelines.</p> </sec>

Journal article

Soong A, Au ST, Kyaw BM, Theng YL, Car LTet al., 2019, Information needs and information seeking behaviour of dementia patients and their caregivers: a scoping review

<jats:title>Abstract</jats:title> <jats:p>Background Patients with dementia often require full-time caregivers especially in the later stages of their condition. Patients and caregivers’ access to reliable information on dementia is essential as it may have an important impact on patient care and quality of life. This study aims to provide an overview of the information needs and information seeking behaviour of dementia patients and their caregivers.Methods We conducted a scoping review of the literature and searched four electronic databases for eligible studies published up to August 2018. Two reviewers independently screened studies and extracted data. Information needs were classified according to emerging themes in the literature, and information seeking behaviour was categorized using Wilson’s model of information behaviour.Results Twenty studies with a total of 4,140 participants, were included in this review. Reported information needs focused on: (i) disease; (ii) patient care provision; (iii) healthcare services; and (iv) caregiver self-care. The most commonly reported information need was on healthcare service-related information. Characteristics found to influence information needs were the severity of dementia as well as patient and caregiver status. Dementia patients and caregivers mainly displayed active searching information seeking behaviour and preferred using electronic sources to obtain health information.Conclusion Current dementia information sources available in English are extensive in the information they offer, but more emphasis needs to be placed on healthcare service-related information. All studies originated from high income countries and focused on information needs of caregiver only. The only variable found to significantly influence information needs was severity of dementia condition. The information needs identified in this review can be used to inform development and design of future dementia

Journal article

Brusamento S, Kyaw BM, Whiting P, Li L, Car LTet al., 2019, Digital Health Professions Education in the Field of Pediatrics: Systematic Review and Meta-Analysis by the Digital Health Education Collaboration, JOURNAL OF MEDICAL INTERNET RESEARCH, Vol: 21, ISSN: 1438-8871

Journal article

Kyaw BM, Car LT, van Galen LS, van Agtmael MA, Costelloe CE, Ajuebor O, Campbell J, Car Jet al., 2019, Health Professions Digital Education on Antibiotic Management: Systematic Review and Meta-Analysis by the Digital Health Education Collaboration, JOURNAL OF MEDICAL INTERNET RESEARCH, Vol: 21, ISSN: 1438-8871

Journal article

Kyaw BM, Posadzki P, Paddock S, Car J, Campbell J, Car LTet al., 2019, Effectiveness of Digital Education on Communication Skills Among Medical Students: Systematic Review and Meta-Analysis by the Digital Health Education Collaboration, JOURNAL OF MEDICAL INTERNET RESEARCH, Vol: 21, ISSN: 1438-8871

Journal article

Tudor Car L, Li L, Smith H, Atun Ret al., 2019, Cochrane review: search strategies to identify observational studies in MEDLINE and EMBASE, Journal of Evidence-Based Medicine, Vol: 12, Pages: 225-226, ISSN: 1756-5383

Journal article

Tudor Car L, 2019, Health professions digital education on clinical practice guidelines: a systematic review by Digital Health Education collaboration, BMC Medicine, Vol: 17, Pages: 1-16, ISSN: 1741-7015

BackgroundClinical practice guidelines are an important source of information, designed to help clinicians integrate research evidence into their clinical practice. Digital education is increasingly used for clinical practice guideline dissemination and adoption. Our aim was to evaluate the effectiveness of digital education in improving the adoption of clinical practice guidelines.MethodsWe performed a systematic review and searched seven electronic databases from January 1990 to September 2018. Two reviewers independently screened studies, extracted data and assessed risk of bias. We included studies in any language evaluating the effectiveness of digital education on clinical practice guidelines compared to other forms of education or no intervention in healthcare professionals. We used the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) approach to assess the quality of the body of evidence.ResultsSeventeen trials involving 2382 participants were included. The included studies were diverse with a largely unclear or high risk of bias. They mostly focused on physicians, evaluated computer-based interventions with limited interactivity and measured participants’ knowledge and behaviour. With regard to knowledge, studies comparing the effect of digital education with no intervention showed a moderate, statistically significant difference in favour of digital education intervention (SMD = 0.85, 95% CI 0.16, 1.54; I2 = 83%, n = 3, moderate quality of evidence). Studies comparing the effect of digital education with traditional learning on knowledge showed a small, statistically non-significant difference in favour of digital education (SMD = 0.23, 95% CI − 0.12, 0.59; I2 = 34%, n = 3, moderate quality of evidence). Three studies measured participants’ skills and reported mixed results. Of four studies measuring satisfaction, three studies favoured digital educa

Journal article

Kononowicz AA, Woodham LA, Edelbring S, Stathakarou N, Davies D, Saxena N, Car LT, Carlstedt-Duke J, Car J, Zary Net al., 2019, Virtual Patient Simulations in Health Professions Education: Systematic Review and Meta-Analysis by the Digital Health Education Collaboration, JOURNAL OF MEDICAL INTERNET RESEARCH, Vol: 21, ISSN: 1438-8871

Journal article

Kyaw BM, Tudor Car L, van Galen LS, van Agtmael MA, Costelloe CE, Ajuebor O, Campbell J, Car Jet al., 2019, Health Professions Digital Education on Antibiotic Management: Systematic Review and Meta-Analysis by the Digital Health Education Collaboration (Preprint)

<sec> <title>BACKGROUND</title> <p>Inappropriate antibiotic prescription is one of the key contributors to antibiotic resistance, which is managed with a range of interventions including education.</p> </sec> <sec> <title>OBJECTIVE</title> <p>We aimed to summarize evidence on the effectiveness of digital education of antibiotic management compared to traditional education for improving health care professionals’ knowledge, skills, attitudes, and clinical practice.</p> </sec> <sec> <title>METHODS</title> <p>Seven electronic databases and two trial registries were searched for randomized controlled trials (RCTs) and cluster RCTs published between January 1, 1990, and September 20, 2018. There were no language restrictions. We also searched the International Clinical Trials Registry Platform Search Portal and metaRegister of Controlled Trials to identify unpublished trials and checked the reference lists of included studies and relevant systematic reviews for study eligibility. We followed Cochrane methods to select studies, extract data, and appraise and synthesize eligible studies. We used random-effect models for the pooled analysis and assessed statistical heterogeneity by visual inspection of a forest plot and calculation of the I2 statistic.</p> </sec> <sec> <title>RESULTS</title> <p>Six cluster RCTs and two RCTs with 655 primary care practices, 1392 primary care physicians, and 485,632 patients were included. The interventions included personal digital assistants; short text messages; online digital education including emails

Journal article

Kononowicz AA, Woodham LA, Edelbring S, Stathakarou N, Davies D, Saxena N, Tudor Car L, Carlstedt-Duke J, Car J, Zary Net al., 2019, Virtual Patient Simulations in Health Professions Education: Systematic Review and Meta-Analysis by the Digital Health Education Collaboration (Preprint)

<sec> <title>BACKGROUND</title> <p>Virtual patients are interactive digital simulations of clinical scenarios for the purpose of health professions education. There is no current collated evidence on the effectiveness of this form of education.</p> </sec> <sec> <title>OBJECTIVE</title> <p>The goal of this study was to evaluate the effectiveness of virtual patients compared with traditional education, blended with traditional education, compared with other types of digital education, and design variants of virtual patients in health professions education. The outcomes of interest were knowledge, skills, attitudes, and satisfaction.</p> </sec> <sec> <title>METHODS</title> <p>We performed a systematic review on the effectiveness of virtual patient simulations in pre- and postregistration health professions education following Cochrane methodology. We searched 7 databases from the year 1990 up to September 2018. No language restrictions were applied. We included randomized controlled trials and cluster randomized trials. We independently selected studies, extracted data, and assessed risk of bias and then compared the information in pairs. We contacted study authors for additional information if necessary. All pooled analyses were based on random-effects models.</p> </sec> <sec> <title>RESULTS</title> <p>A total of 51 trials involving 4696 participants met our inclusion criteria. Furthermore, 25 studies compared virtual patients with traditional education, 11 studies investigated virtual patients as blended learning, 5 studies compared virt

Journal article

GBD 2016 Neurology Collaborators, 2019, Global, regional, and national burden of neurological disorders, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016, Lancet Neurology, Vol: 18, Pages: 459-480, ISSN: 1474-4422

BACKGROUND: Neurological disorders are increasingly recognised as major causes of death and disability worldwide. The aim of this analysis from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 is to provide the most comprehensive and up-to-date estimates of the global, regional, and national burden from neurological disorders. METHODS: We estimated prevalence, incidence, deaths, and disability-adjusted life-years (DALYs; the sum of years of life lost [YLLs] and years lived with disability [YLDs]) by age and sex for 15 neurological disorder categories (tetanus, meningitis, encephalitis, stroke, brain and other CNS cancers, traumatic brain injury, spinal cord injury, Alzheimer's disease and other dementias, Parkinson's disease, multiple sclerosis, motor neuron diseases, idiopathic epilepsy, migraine, tension-type headache, and a residual category for other less common neurological disorders) in 195 countries from 1990 to 2016. DisMod-MR 2.1, a Bayesian meta-regression tool, was the main method of estimation of prevalence and incidence, and the Cause of Death Ensemble model (CODEm) was used for mortality estimation. We quantified the contribution of 84 risks and combinations of risk to the disease estimates for the 15 neurological disorder categories using the GBD comparative risk assessment approach. FINDINGS: Globally, in 2016, neurological disorders were the leading cause of DALYs (276 million [95% UI 247-308]) and second leading cause of deaths (9·0 million [8·8-9·4]). The absolute number of deaths and DALYs from all neurological disorders combined increased (deaths by 39% [34-44] and DALYs by 15% [9-21]) whereas their age-standardised rates decreased (deaths by 28% [26-30] and DALYs by 27% [24-31]) between 1990 and 2016. The only neurological disorders that had a decrease in rates and absolute numbers of deaths and DALYs were tetanus, meningitis, and encephalitis. The four largest contributors of neurological DALYs we

Journal article

Brusamento S, Kyaw BM, Whiting P, Li L, Tudor Car Let al., 2019, Digital Health Professions Education in the Field of Pediatrics: Systematic Review and Meta-Analysis by the Digital Health Education Collaboration (Preprint)

<sec> <title>BACKGROUND</title> <p>Reducing childhood morbidity and mortality is challenging, particularly in countries with a shortage of qualified health care workers. Lack of trainers makes it difficult to provide the necessary continuing education in pediatrics for postregistration health professionals. Digital education, teaching and learning by means of digital technologies, has the potential to deliver medical education to a large audience while limiting the number of trainers needed.</p> </sec> <sec> <title>OBJECTIVE</title> <p>The goal of the research was to evaluate whether digital education can replace traditional learning to improve postregistration health professionals’ knowledge, skills, attitudes, and satisfaction and foster behavior change in the field of pediatrics.</p> </sec> <sec> <title>METHODS</title> <p>We completed a systematic review of the literature by following the Cochrane methodology. We searched 7 major electronic databases for articles published from January 1990 to August 2017. No language restrictions were applied. We independently selected studies, extracted data, and assessed risk of bias, and pairs of authors compared information. We contacted authors of studies for additional information if necessary. All pooled analyses were based on random effects models. We included individually or cluster randomized controlled trials that compared digital education with traditional learning, no intervention, or other forms of digital education. We assessed the quality of evidence using the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) criteria.</p> </sec>

Journal article

Gentry SV, Gauthier A, Ehrstrom BL, Wortley D, Lilienthal A, Car LT, Dauwels-Okutsu S, Nikolaou CK, Zary N, Campbell J, Car Jet al., 2019, Serious gaming and gamification education in health professions: systematic review, Journal of Medical Internet Research, Vol: 21, ISSN: 1438-8871

Background: There is a worldwide shortage of health workers, and this issue requires innovative education solutions. Serious gaming and gamification education have the potential to provide a quality, cost-effective, novel approach that is flexible, portable, and enjoyable and allow interaction with tutors and peers.Objective: The aim of this systematic review was to evaluate the effectiveness of serious gaming/gamification for health professions education compared with traditional learning, other types of digital education, or other serious gaming/gamification interventions in terms of patient outcomes, knowledge, skills, professional attitudes, and satisfaction (primary outcomes) as well as economic outcomes of education and adverse events (secondary outcomes).Methods: A comprehensive search of MEDLINE, EMBASE, Web of Knowledge, Educational Resources Information Centre, Cochrane Central Register of Controlled Trials, PsycINFO, and Cumulative Index to Nursing and Allied Health Literature was conducted from 1990 to August 2017. Randomized controlled trials (RCTs) and cluster RCTs were eligible for inclusion. Two reviewers independently searched, screened, and assessed the study quality and extracted data. A meta-analysis was not deemed appropriate due to the heterogeneity of populations, interventions, comparisons, and outcomes. Therefore, a narrative synthesis is presented.Results: A total of 27 RCTs and 3 cluster RCTs with 3634 participants were included. Two studies evaluated gamification interventions, and the remaining evaluated serious gaming interventions. One study reported a small statistically significant difference between serious gaming and digital education of primary care physicians in the time to control blood pressure in a subgroup of their patients already taking antihypertensive medications. There was evidence of a moderate-to-large magnitude of effect from five studies evaluating individually delivered interventions for objectively measured knowled

Journal article

Kyaw BM, Posadzki P, Dunleavy G, Semwal M, Divakar U, Hervatis V, Car LTet al., 2019, Offline Digital Education for Medical Students: Systematic Review and Meta-Analysis by the Digital Health Education Collaboration, JOURNAL OF MEDICAL INTERNET RESEARCH, Vol: 21, ISSN: 1438-8871

Journal article

Martinengo L, Yeo NJY, Tang ZQ, Markandran KDO, Kyaw BM, Tudor Car Let al., 2019, Digital education for the management of chronic wounds in healthcare professions’ education: A protocol for a systematic review by Digital Health Education Collaboration, JMIR Research Protocols, Vol: 8, ISSN: 1929-0748

Background:Digital education is “an approach to teaching and learning, representing all or part of the educational model applied, that is based on the use of electronic media and devices as tools for improving access to training, communication and interaction and that facilitates the adoption of new ways of understanding and developing learning”. Digital education comprises a wide range of interventions that can be broadly divided into offline digital education, online digital education, digital game-based learning, massive open online courses (MOOCs), psychomotor skills trainers, virtual reality environments, virtual patient simulations, and mLearning. Chronic wounds pose an immense economic and psychosocial burden to patients and the healthcare system as caring for them require highly specialized personnel. Current training strategies, face significant barriers, such as lack of time due to work commitments, distance from provider centres and costs. Therefore, there is a need to evaluate novel approaches to increase the effectiveness of learning programs on chronic wound management available to healthcare professionals.Objective:Our main objective is to assess the effectiveness of digital education, as a standalone or as part of a blended learning approach in improving pre- and post-registration healthcare professionals’ knowledge, attitudes, practical skills, and behaviour in the management of chronic wounds, and their satisfaction with the intervention. Secondary objectives are to evaluate patient related outcomes, cost-effectiveness of the interventions, and any unfavourable or undesirable outcomes that may arise.Methods:This systematic review will follow Cochrane methodology. Two independent reviewers will screen the library for included studies. We will describe the screening process using a flowchart as per PRISMA guidelines. We will extract the data using a previously developed, structured data extraction form. Included studies will be qual

Journal article

Semwal M, Whiting P, Bajpai R, Bajpai S, Kyaw BM, Car LTet al., 2019, Digital Education for Health Professions on Smoking Cessation Management: Systematic Review by the Digital Health Education Collaboration, JOURNAL OF MEDICAL INTERNET RESEARCH, Vol: 21, ISSN: 1438-8871

Journal article

Wahabi HA, Esmaeil SA, Bahkali KH, Titi MA, Amer YS, Fayed AA, Jamal A, Zakaria N, Siddiqui AR, Semwal M, Car LT, Posadzki P, Car Jet al., 2019, Medical doctors' offline computer-assisted digital education: systematic review by the Digital Health Education Collaboration, Journal of Medical Internet Research, Vol: 21, ISSN: 1438-8871

Background: The widening gap between innovations in the medical field and the dissemination of such information to doctors may affect the quality of care. Offline computer-based digital education (OCDE) may be a potential solution to overcoming the geographical, financial, and temporal obstacles faced by doctors.Objective: The objectives of this systematic review were to evaluate the effectiveness of OCDE compared with face-to-face learning, no intervention, or other types of digital learning for improving medical doctors’ knowledge, cognitive skills, and patient-related outcomes. Secondary objectives were to assess the cost-effectiveness (CE) of OCDE and any adverse effects.Methods: We searched major bibliographic databases from 1990 to August 2017 to identify relevant articles and followed the Cochrane methodology for systematic reviews of intervention.Results: Overall, 27 randomized controlled trials (RCTs), 1 cluster RCT (cRCT), and 1 quasi-RCT were included in this review. The total number of participants was 1690 in addition to the cRCT, which included 24 practices. Due to the heterogeneity of the participants, interventions, and outcomes, meta-analysis was not feasible, and the results were presented as narrative summary.Compared with face-to-face learning, the effect of OCDE on knowledge gain is uncertain (ratio of the means [RM] range 0.95-1.17; 8 studies, 495 participants; very low grade of evidence). From the same comparison, the effect of OCDE on cognitive skill gain is uncertain (RM range 0.1-0.9; 8 studies, 375 participants; very low grade of evidence). OCDE may have little or no effect on patients’ outcome compared with face-to-face education (2 studies, 62 participants; low grade of evidence).Compared with no intervention, OCDE may improve knowledge gain (RM range 1.36-0.98; 4 studies, 401 participants; low grade of evidence). From the same comparison, the effect of OCDE on cognitive skill gain is uncertain (RM range 1.1-1.15; 4 trials, 4

Journal article

Car LT, Kyaw BM, Dunleavy G, Smart NA, Semwal M, Rotgans JI, Low-Beer N, Campbell Jet al., 2019, Digital Problem-Based Learning in Health Professions: Systematic Review and Meta-Analysis by the Digital Health Education Collaboration, JOURNAL OF MEDICAL INTERNET RESEARCH, Vol: 21, ISSN: 1438-8871

Journal article

George PP, Zhabenko O, Kyaw BM, Antoniou P, Posadzki P, Saxena N, Semwal M, Car LT, Zary N, Lockwood C, Car Jet al., 2019, Online digital education for postregistration training of medical doctors: systematic review by the Digital Health Education Collaboration, Journal of Medical Internet Research, Vol: 21, ISSN: 1438-8871

Background: Globally, online and local area network–based (LAN) digital education (ODE) has grown in popularity. Blended learning is used by ODE along with traditional learning. Studies have shown the increasing potential of these technologies in training medical doctors; however, the evidence for its effectiveness and cost-effectiveness is unclear.Objective: This systematic review evaluated the effectiveness of online and LAN-based ODE in improving practicing medical doctors’ knowledge, skills, attitude, satisfaction (primary outcomes), practice or behavior change, patient outcomes, and cost-effectiveness (secondary outcomes).Methods: We searched seven electronic databased for randomized controlled trials, cluster-randomized trials, and quasi-randomized trials from January 1990 to March 2017. Two review authors independently extracted data and assessed the risk of bias. We have presented the findings narratively. We mainly compared ODE with self-directed/face-to-face learning and blended learning with self-directed/face-to-face learning.Results: A total of 93 studies (N=16,895) were included, of which 76 compared ODE (including blended) and self-directed/face-to-face learning. Overall, the effect of ODE (including blended) on postintervention knowledge, skills, attitude, satisfaction, practice or behavior change, and patient outcomes was inconsistent and ranged mostly from no difference between the groups to higher postintervention score in the intervention group (small to large effect size, very low to low quality evidence). Twenty-one studies reported higher knowledge scores (small to large effect size and very low quality) for the intervention, while 20 studies reported no difference in knowledge between the groups. Seven studies reported higher skill score in the intervention (large effect size and low quality), while 13 studies reported no difference in the skill scores between the groups. One study reported a higher attitude score for the interven

Journal article

Huang Z, Semwal M, Lee SY, Tee M, Ong W, Tan WS, Bajpai R, Car LTet al., 2019, Digital health professions education on diabetes management: systematic review by the digital health education collaboration, Journal of Medical Internet Research, Vol: 21, ISSN: 1438-8871

Background: There is a shortage of health care professionals competent in diabetes management worldwide. Digital education is increasingly used in educating health professionals on diabetes. Digital diabetes self-management education for patients has been shown to improve patients’ knowledge and outcomes. However, the effectiveness of digital education on diabetes management for health care professionals is still unknown.Objective: The objective of this study was to assess the effectiveness and economic impact of digital education in improving health care professionals’ knowledge, skills, attitudes, satisfaction, and competencies. We also assessed its impact on patient outcomes and health care professionals’ behavior.Methods: We included randomized controlled trials evaluating the impact of digitalized diabetes management education for health care professionals pre- and postregistration. Publications from 1990 to 2017 were searched in MEDLINE, EMBASE, Cochrane Library, PsycINFO, CINAHL, ERIC, and Web of Science. Screening, data extraction and risk of bias assessment were conducted independently by 2 authors.Results: A total of 12 studies met the inclusion criteria. Studies were heterogeneous in terms of digital education modality, comparators, outcome measures, and intervention duration. Most studies comparing digital or blended education to traditional education reported significantly higher knowledge and skills scores in the intervention group. There was little or no between-group difference in patient outcomes or economic impact. Most studies were judged at a high or unclear risk of bias.Conclusions: Digital education seems to be more effective than traditional education in improving diabetes management–related knowledge and skills. The paucity and low quality of the available evidence call for urgent and well-designed studies focusing on important outcomes such as health care professionals’ behavior, patient outcomes, and cost-effec

Journal article

Car J, Carlstedt-Duke J, Car LT, Posadzki P, Whiting P, Zary N, Atun R, Majeed A, Campbell Jet al., 2019, Digital education in health professions: the need for overarching evidence synthesis, Journal of Medical Internet Research, Vol: 21, ISSN: 1438-8871

Synthesizing evidence from randomized controlled trials of digital health education poses some challenges. These include a lack of clear categorization of digital health education in the literature; constantly evolving concepts, pedagogies, or theories; and a multitude of methods, features, technologies, or delivery settings. The Digital Health Education Collaboration was established to evaluate the evidence on digital education in health professions; inform policymakers, educators, and students; and ultimately, change the way in which these professionals learn and are taught. The aim of this paper is to present the overarching methodology that we use to synthesize evidence across our digital health education reviews and to discuss challenges related to the process. For our research, we followed Cochrane recommendations for the conduct of systematic reviews; all reviews are reported according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidance. This included assembling experts in various digital health education fields; identifying gaps in the evidence base; formulating focused research questions, aims, and outcome measures; choosing appropriate search terms and databases; defining inclusion and exclusion criteria; running the searches jointly with librarians and information specialists; managing abstracts; retrieving full-text versions of papers; extracting and storing large datasets, critically appraising the quality of studies; analyzing data; discussing findings; drawing meaningful conclusions; and drafting research papers. The approach used for synthesizing evidence from digital health education trials is commonly regarded as the most rigorous benchmark for conducting systematic reviews. Although we acknowledge the presence of certain biases ingrained in the process, we have clearly highlighted and minimized those biases by strictly adhering to scientific rigor, methodological integrity, and standard operating procedures.

Journal article

Dunleavy G, Nikolaou CK, Nifakos S, Atun R, Law GCY, Car LTet al., 2019, Mobile digital education for health professions: Systematic review and meta-analysis by the Digital Health Education Collaboration, Journal of Medical Internet Research, Vol: 21, ISSN: 1438-8871

Background: There is a pressing need to implement efficient and cost-effective training to address the worldwide shortage of health professionals. Mobile digital education (mLearning) has been mooted as a potential solution to increase the delivery of health professions education as it offers the opportunity for wide access at low cost and flexibility with the portability of mobile devices. To better inform policy making, we need to determine the effectiveness of mLearning.Objective: The primary objective of this review was to evaluate the effectiveness of mLearning interventions for delivering health professions education in terms of learners’ knowledge, skills, attitudes, and satisfaction.Methods: We performed a systematic review of the effectiveness of mLearning in health professions education using standard Cochrane methodology. We searched 7 major bibliographic databases from January 1990 to August 2017 and included randomized controlled trials (RCTs) or cluster RCTs.Results: A total of 29 studies, including 3175 learners, met the inclusion criteria. A total of 25 studies were RCTs and 4 were cluster RCTs. Interventions comprised tablet or smartphone apps, personal digital assistants, basic mobile phones, iPods, and Moving Picture Experts Group-1 audio layer 3 player devices to deliver learning content. A total of 20 studies assessed knowledge (n=2469) and compared mLearning or blended learning to traditional learning or another form of digital education. The pooled estimate of studies favored mLearning over traditional learning for knowledge (standardized mean difference [SMD]=0.43, 95% CI 0.05-0.80, N=11 studies, low-quality evidence). There was no difference between blended learning and traditional learning for knowledge (SMD=0.20, 95% CI –0.47 to 0.86, N=6 studies, low-quality evidence). A total of 14 studies assessed skills (n=1097) and compared mLearning or blended learning to traditional learning or another form of digital education. The pool

Journal article

Kyaw BM, Posadzki P, Dunleavy G, Semwal M, Divakar U, Hervatis V, Tudor Car Let al., 2019, Offline Digital Education for Medical Students: Systematic Review and Meta-Analysis by the Digital Health Education Collaboration (Preprint)

<sec> <title>BACKGROUND</title> <p>Medical schools in low- and middle-income countries are facing a shortage of staff, limited infrastructure, and restricted access to fast and reliable internet. Offline digital education may be an alternative solution for these issues, allowing medical students to learn at their own time and pace, without the need for a network connection.</p> </sec> <sec> <title>OBJECTIVE</title> <p>The primary objective of this systematic review was to assess the effectiveness of offline digital education compared with traditional learning or a different form of offline digital education such as CD-ROM or PowerPoint presentations in improving knowledge, skills, attitudes, and satisfaction of medical students. The secondary objective was to assess the cost-effectiveness of offline digital education, changes in its accessibility or availability, and its unintended/adverse effects on students.</p> </sec> <sec> <title>METHODS</title> <p>We carried out a systematic review of the literature by following the Cochrane methodology. We searched seven major electronic databases from January 1990 to August 2017 for randomized controlled trials (RCTs) or cluster RCTs. Two authors independently screened studies, extracted data, and assessed the risk of bias. We assessed the quality of evidence using the Grading of Recommendations, Assessment, Development, and Evaluations criteria.</p> </sec> <sec> <title>RESULTS</title> <p>We included 36 studies with 3325 medical students, of which 33 were RCTs and three were cluster RCTs. The int

Journal article

Kyaw BM, Saxena N, Posadzki P, Vseteckova J, Nikolaou CK, George PP, Divakar U, Masiello I, Kononowicz AA, Zary N, Car LTet al., 2019, Virtual Reality for Health Professions Education: Systematic Review and Meta-Analysis by the Digital Health Education Collaboration, JOURNAL OF MEDICAL INTERNET RESEARCH, Vol: 21, ISSN: 1438-8871

Journal article

George PP, Zhabenko O, Kyaw BM, Antoniou P, Posadzki P, Saxena N, Semwal M, Tudor Car L, Zary N, Lockwood C, Car Jet al., 2019, Online Digital Education for Postregistration Training of Medical Doctors: Systematic Review by the Digital Health Education Collaboration (Preprint)

<sec> <title>BACKGROUND</title> <p>Globally, online and local area network–based (LAN) digital education (ODE) has grown in popularity. Blended learning is used by ODE along with traditional learning. Studies have shown the increasing potential of these technologies in training medical doctors; however, the evidence for its effectiveness and cost-effectiveness is unclear.</p> </sec> <sec> <title>OBJECTIVE</title> <p>This systematic review evaluated the effectiveness of online and LAN-based ODE in improving practicing medical doctors’ knowledge, skills, attitude, satisfaction (primary outcomes), practice or behavior change, patient outcomes, and cost-effectiveness (secondary outcomes).</p> </sec> <sec> <title>METHODS</title> <p>We searched seven electronic databased for randomized controlled trials, cluster-randomized trials, and quasi-randomized trials from January 1990 to March 2017. Two review authors independently extracted data and assessed the risk of bias. We have presented the findings narratively. We mainly compared ODE with self-directed/face-to-face learning and blended learning with self-directed/face-to-face learning.</p> </sec> <sec> <title>RESULTS</title> <p>A total of 93 studies (N=16,895) were included, of which 76 compared ODE (including blended) and self-directed/face-to-face learning. Overall, the effect of ODE (including blended) on postintervention knowledge, skills, attitude, satisfaction, practice or behavior change, and patient outcomes was inconsistent and ranged mostly from no difference between the

Journal article

James SL, Theadom A, Ellenbogen RG, Bannick MS, Montjoy-Venning W, Lucchesi LR, Abbasi N, Abdulkader R, Abraha HN, Adsuar JC, Afarideh M, Agrawal S, Ahmadi A, Ahmed MB, Aichour AN, Aichour I, Aichour MTE, Akinyemi RO, Akseer N, Alahdab F, Alebel A, Alghnam SA, Ali BA, Alsharif U, Altirkawi K, Andrei CL, Anjomshoa M, Ansari H, Ansha MG, Antonio CAT, Appiah SCY, Ariani F, Asefa NG, Asgedom SW, Atique S, Awasthi A, Ayala Quintanilla BP, Ayuk TB, Azzopardi PS, Badali H, Badawi A, Balalla S, Banstola A, Barker-Collo SL, Bärnighausen TW, Bedi N, Behzadifar M, Behzadifar M, Bekele BB, Belachew AB, Belay YA, Bennett DA, Bensenor IM, Berhane A, Beuran M, Bhalla A, Bhaumik S, Bhutta ZA, Biadgo B, Biffino M, Bijani A, Bililign N, Birungi C, Boufous S, Brazinova A, Brown AW, Car M, Cárdenas R, Carrero JJ, Carvalho F, Castañeda-Orjuela CA, Catalá-López F, Chaiah Y, Champs AP, Chang J-C, Choi J-YJ, Christopher DJ, Cooper C, Crowe CS, Dandona L, Dandona R, Daryani A, Davitoiu DV, Degefa MG, Demoz GT, Deribe K, Djalalinia S, Do HP, Doku DT, Drake TM, Dubey M, Dubljanin E, El-Khatib Z, Ofori-Asenso R, Eskandarieh S, Esteghamati A, Esteghamati S, Faro A, Farzadfar F, Farzaei MH, Fereshtehnejad S-M, Fernandes E, Feyissa GT, Filip I, Fischer F, Fukumoto T, Ganji M, Gankpe FG, Gebre AK, Gebrehiwot TT, Gezae KE, Gopalkrishna G, Goulart AC, Haagsma JA, Haj-Mirzaian A, Haj-Mirzaian A, Hamadeh RR, Hamidi S, Haro JM, Hassankhani H, Hassen HY, Havmoeller R, Hawley C, Hay SI, Hegazy MI, Hendrie D, Henok A, Hibstu DT, Hoffman HJ, Hole MK, Homaie Rad E, Hosseini SM, Hostiuc S, Hu G, Hussen MA, Ilesanmi OS, Irvani SSN, Jakovljevic M, Jayaraman S, Jha RP, Jonas JB, Jones KM, Jorjoran Shushtari Z, Jozwiak JJ, Jürisson M, Kabir A, Kahsay A, Kahssay M, Kalani R, Karch A, Kasaeian A, Kassa GM, Kassa TD, Kassa ZY, Kengne AP, Khader YS, Khafaie MA, Khalid N, Khalil I, Khan EA, Khan MS, Khang Y-H, Khazaie H, Khoja AT, Khubchandani J, Kiadaliri AA, Kim D, Kim Y-E, Kisa A, Koyanagi A, Krohn KJ, Kuate Defoet al., 2019, Global, regional, and national burden of traumatic brain injury and spinal cord injury, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016, The Lancet Neurology, Vol: 18, Pages: 56-87, ISSN: 1474-4422

BackgroundTraumatic brain injury (TBI) and spinal cord injury (SCI) are increasingly recognised as global health priorities in view of the preventability of most injuries and the complex and expensive medical care they necessitate. We aimed to measure the incidence, prevalence, and years of life lived with disability (YLDs) for TBI and SCI from all causes of injury in every country, to describe how these measures have changed between 1990 and 2016, and to estimate the proportion of TBI and SCI cases caused by different types of injury.MethodsWe used results from the Global Burden of Diseases, Injuries, and Risk Factors (GBD) Study 2016 to measure the global, regional, and national burden of TBI and SCI by age and sex. We measured the incidence and prevalence of all causes of injury requiring medical care in inpatient and outpatient records, literature studies, and survey data. By use of clinical record data, we estimated the proportion of each cause of injury that required medical care that would result in TBI or SCI being considered as the nature of injury. We used literature studies to establish standardised mortality ratios and applied differential equations to convert incidence to prevalence of long-term disability. Finally, we applied GBD disability weights to calculate YLDs. We used a Bayesian meta-regression tool for epidemiological modelling, used cause-specific mortality rates for non-fatal estimation, and adjusted our results for disability experienced with comorbid conditions. We also analysed results on the basis of the Socio-demographic Index, a compound measure of income per capita, education, and fertility.FindingsIn 2016, there were 27·08 million (95% uncertainty interval [UI] 24·30–30·30 million) new cases of TBI and 0·93 million (0·78–1·16 million) new cases of SCI, with age-standardised incidence rates of 369 (331–412) per 100 000 population for TBI and 13 (11–16) per 100 000 for SC

Journal article

Li L, Smith HE, Atun R, Car LTet al., 2019, Search strategies to identify observational studies in MEDLINE and Embase, COCHRANE DATABASE OF SYSTEMATIC REVIEWS, ISSN: 1469-493X

Journal article

Kyaw BM, Posadzki P, Paddock S, Car J, Campbell J, Tudor Car Let al., 2018, Effectiveness of Digital Education on Communication Skills Among Medical Students: Systematic Review and Meta-Analysis by the Digital Health Education Collaboration (Preprint)

<sec> <title>BACKGROUND</title> <p>Effective communication skills are essential in diagnosis and treatment processes and in building the doctor-patient relationship.</p> </sec> <sec> <title>OBJECTIVE</title> <p>Our aim was to evaluate the effectiveness of digital education in medical students for communication skills development. Broadly, we assessed whether digital education could improve the quality of future doctors’ communication skills.</p> </sec> <sec> <title>METHODS</title> <p>We performed a systematic review and searched seven electronic databases and two trial registries for randomized controlled trials (RCTs) and cluster RCTs (cRCTs) published between January 1990 and September 2018. Two reviewers independently screened the citations, extracted data from the included studies, and assessed the risk of bias. We also assessed the quality of evidence using the Grading of Recommendations, Assessment, Development, and Evaluations assessment (GRADE).</p> </sec> <sec> <title>RESULTS</title> <p>We included 12 studies with 2101 medical students, of which 10 were RCTs and two were cRCTs. The digital education included online modules, virtual patient simulations, and video-assisted oral feedback. The control groups included didactic lectures, oral feedback, standard curriculum, role play, and no intervention as well as less interactive forms of digital education. The overall risk of bias was high, and the quality of evidence ranged from moderate to very low. For skills outcome, meta-analysis of three studies comparing digital educat

Journal article

Huang Z, Semwal M, Lee SY, Tee M, Ong W, Tan WS, Bajpai R, Tudor Car Let al., 2018, Digital Health Professions Education on Diabetes Management: Systematic Review by the Digital Health Education Collaboration (Preprint)

<sec> <title>BACKGROUND</title> <p>There is a shortage of health care professionals competent in diabetes management worldwide. Digital education is increasingly used in educating health professionals on diabetes. Digital diabetes self-management education for patients has been shown to improve patients’ knowledge and outcomes. However, the effectiveness of digital education on diabetes management for health care professionals is still unknown.</p> </sec> <sec> <title>OBJECTIVE</title> <p>The objective of this study was to assess the effectiveness and economic impact of digital education in improving health care professionals’ knowledge, skills, attitudes, satisfaction, and competencies. We also assessed its impact on patient outcomes and health care professionals’ behavior.</p> </sec> <sec> <title>METHODS</title> <p>We included randomized controlled trials evaluating the impact of digitalized diabetes management education for health care professionals pre- and postregistration. Publications from 1990 to 2017 were searched in MEDLINE, EMBASE, Cochrane Library, PsycINFO, CINAHL, ERIC, and Web of Science. Screening, data extraction and risk of bias assessment were conducted independently by 2 authors.</p> </sec> <sec> <title>RESULTS</title> <p>A total of 12 studies met the inclusion criteria. Studies were heterogeneous in terms of digital education modality, comparators, outcome measures, and intervention duration. Most studies comparing digital or blended education to traditional education reported significantly higher

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