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https://www.readbyqxmd.com/read/29089287/scaling-up-research-on-drug-abuse-and-addiction-through-social-media-big-data
#1
Sunny Jung Kim, Lisa A Marsch, Jeffrey T Hancock, Amarendra K Das
BACKGROUND: Substance use-related communication for drug use promotion and its prevention is widely prevalent on social media. Social media big data involve naturally occurring communication phenomena that are observable through social media platforms, which can be used in computational or scalable solutions to generate data-driven inferences. Despite the promising potential to utilize social media big data to monitor and treat substance use problems, the characteristics, mechanisms, and outcomes of substance use-related communications on social media are largely unknown...
October 31, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/29063573/best-paper-selection
#2
(no author information available yet)
Kite J, Foley BC, Grunseit AC, Freeman B. Please Like Me: Facebook and Public Health Communication. PLoS One 2016;11(9) http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0162765 Sharpe JD, Hopkins RS, Cook RL, Striley CW. Evaluating Google, Twitter, and Wikipedia as Tools for Influenza Surveillance Using Bayesian Change Point Analysis: A Comparative Analysis. JMIR Public Health Surveill 2016 20;2(2) http://publichealth.jmir.org/2016/2/e161/ Tran A, Trevennec C, Lutwama J, Sserugga J, Gély M, Pittiglio C, Pinto J, Chevalier V...
August 2017: Yearbook of Medical Informatics
https://www.readbyqxmd.com/read/29063561/best-paper-selection
#3
(no author information available yet)
Daniulaityte R, Chen L, Lamy FR, Carlson RG, Thirunarayan K, Sheth A. "When 'Bad' is 'Good'": Identifying Personal Communication and Sentiment in Drug-Related Tweets. JMIR Public Health Surveill 2016 Oct 24;2(2):e162 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5099500/ Freedman RA, Viswanath K, Vaz-Luis I, Keating NL. Learning from social media: utilizing advanced data extraction techniques to understand barriers to breast cancer treatment. Breast Cancer Res Treat 2016 Jul;158(2):395-405 https://www.ncbi.nlm...
August 2017: Yearbook of Medical Informatics
https://www.readbyqxmd.com/read/29063544/best-paper-selection
#4
(no author information available yet)
Castro GM, Buczkowski L, Hafner JM. The Contribution of Sociotechnical Factors to Health Information Technology-Related Sentinel Events. Jt Comm J Qual Patient Saf 2016 Feb;42(2):70-6 https://linkinghub.elsevier.com/retrieve/pii/S1553-7250(16)42008-8 Horsky J, Ramelson HZ. Development of a cognitive framework of patient record summary review in the formative phase of user-centered design. J Biomed Inform 2016 Dec;64:147-57 http://www.sciencedirect.com/science/article/pii/S153204641630137X?via%3Dihub Kobayashi L, Gosbee JW, Merck DL...
August 2017: Yearbook of Medical Informatics
https://www.readbyqxmd.com/read/28855146/categorizing-health-outcomes-and-efficacy-of-mhealth-apps-for-persons-with-cognitive-impairment-a-systematic-review
#5
REVIEW
Daniel R Bateman, Bhavana Srinivas, Thomas W Emmett, Titus K Schleyer, Richard J Holden, Hugh C Hendrie, Christopher M Callahan
BACKGROUND: Use of mobile health (mHealth) apps is growing at an exponential rate in the United States and around the world. Mild cognitive impairment (MCI), Alzheimer disease, and related dementias are a global health problem. Numerous mHealth interventions exist for this population, yet the effect of these interventions on health has not been systematically described. OBJECTIVE: The aim of this study is to catalog the types of health outcomes used to measure effectiveness of mHealth interventions and assess which mHealth interventions have been shown to improve the health of persons with MCI, Alzheimer disease, and dementia...
August 30, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28838887/the-use-of-mobile-apps-and-sms-messaging-as-physical-and-mental-health-interventions-systematic-review
#6
Amy Leigh Rathbone, Julie Prescott
BACKGROUND: The initial introduction of the World Wide Web in 1990 brought around the biggest change in information acquisition. Due to the abundance of devices and ease of access they subsequently allow, the utility of mobile health (mHealth) has never been more endemic. A substantial amount of interactive and psychoeducational apps are readily available to download concerning a wide range of health issues. mHealth has the potential to reduce waiting times for appointments; eradicate the need to meet in person with a clinician, successively diminishing the workload of mental health professionals; be more cost effective to practices; and encourage self-care tactics...
August 24, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28755670/evidence-appraisal-of-paim-cpp-goldmeier-s-development-of-an-educational-game-to-set-up-surgical-instruments-on-the-mayo-stand-or-back-table-applied-research-in-production-technology-jmir-serious-games-2017-5-1-e1-doi-10-2196-games-6048
#7
https://www.readbyqxmd.com/read/28684386/patient-driven-innovation-for-mobile-mental-health-technology-case-report-of-symptom-tracking-in-schizophrenia
#8
EDITORIAL
John Torous, Spencer Roux
This patient perspective piece presents an important case at the intersection of mobile health technology, mental health, and innovation. The potential of digital technologies to advance mental health is well known, although the challenges are being increasingly recognized. Making mobile health work for mental health will require broad collaborations. We already know that those who experience mental illness are excited by the potential technology, with many actively engaged in research, fundraising, advocacy, and entrepreneurial ventures...
July 6, 2017: JMIR Mental Health
https://www.readbyqxmd.com/read/27788121/correction-of-exploring-concordance-of-patient-reported-information-on-patientslikeme-and-medical-claims-data-at-the-patient-level
#9
Gabriel S Eichler, Elisenda Cochin, Jian Han, Sylvia Hu, Timothy E Vaughan, Paul Wicks, Charles Barr, Jenny Devenport
[This corrects the article DOI: 10.2196/jmir.5130.].
October 27, 2016: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/27183182/correction-online-alcohol-assessment-and-feedback-for-hazardous-and-harmful-drinkers-findings-from-the-amadeus-2-randomized-controlled-trial-of-routine-practice-in-swedish-universities
#10
Preben Bendtsen, Marcus Bendtsen, Nadine Karlsson, Ian R White, Jim McCambridge
No abstract text is available yet for this article.
2016: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/27030210/a-systematic-review-protocol-to-assess-the-effects-of-physical-activity-on-health-and-quality-of-life-outcomes-in-adolescent-cancer-survivors
#11
Amanda Wurz, Jennifer Brunet
BACKGROUND: The benefits of physical activity for child and adult cancer survivors have been summarized in previous systematic reviews. However, no review has summarized the evidence for adolescent cancer survivors. OBJECTIVE: This paper describes the design of a protocol to conduct a systematic review of published studies examining the effects of physical activity on health and quality of life outcomes for adolescent cancer survivors. METHODS: Several guidelines informed the development of this protocol...
2016: JMIR Research Protocols
https://www.readbyqxmd.com/read/25768939/-what-is-ehealth-time-for-an-update
#12
Emiel A Boogerd, Tessa Arts, Lucien Jlpg Engelen, Tom H van de Belt
The annual number of articles reporting on eHealth interventions has increased over the last 10 years. In contrast, the last article in this journal on the definition of eHealth was published in 2006. This leads to the question whether the field itself has reached consensus about the definition and description of eHealth or whether it is in need for a new review of the literature and a new description of the rapidly changing field of eHealth. Since the JMIR community has successfully collaborated on the "CONSORT-eHealth" in the past, we would like to use the same strategy to explore the need for a new definition of eHealth and the creation of a taxonomy for this field...
2015: JMIR Research Protocols
https://www.readbyqxmd.com/read/24518432/harnessing-the-social-web-for-health-and-wellness-issues-for-research-and-knowledge-translation
#13
EDITORIAL
Kendall Ho
Social media is a powerful, rapid, and popular way of communication amongst people around the world. How can health professionals and patients use this strategy to achieve optimal disease management and prevention and attainment of wellness? An interdisciplinary group at University of British Columbia, supported by a grant from UBC Peter Wall Institute of Advanced Studies, conducted a research workshop in February 2013 to explore what is known and yet to be researched in using social media for nurturing the growth of virtual communities of people for health and wellness...
2014: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/23920638/consort-ehealth-implementation-of-a-checklist-for-authors-and-editors-to-improve-reporting-of-web-based-and-mobile-randomized-controlled-trials
#14
Gunther Eysenbach
BACKGROUND: Randomized trials of web-based and mobile interventions pose very specific issues and challenges. A set of best practices on how to conduct and report such trials was recently summarized in the CONSORT-EHEALTH statement (Consolidated Standards of Reporting Trials of Electronic and Mobile HEalth Applications and onLine TeleHealth), published in August 2011 as draft and in December 2011 as journal article (V1.6.1). The purpose of this presentation is to review the results of the pilot implementation at the Journal of Medical Internet Research (JMIR), a leading eHealth journal, where reporting of trials in accordance with CONSORT-EHEALTH became mandatory in late 2011...
2013: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/22209829/consort-ehealth-improving-and-standardizing-evaluation-reports-of-web-based-and-mobile-health-interventions
#15
EDITORIAL
Gunther Eysenbach
BACKGROUND: Web-based and mobile health interventions (also called "Internet interventions" or "ehealth/mhealth interventions") are tools or treatments, typically behaviorally based, that are operationalized and transformed for delivery via the Internet or mobile platforms. These include electronic tools for patients, informal caregivers, healthy consumers, and health care providers. The "Consolidated Standards of Reporting Trials" (CONSORT) was developed to improve the suboptimal reporting of randomized controlled trials (RCTs)...
2011: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/22173204/can-tweets-predict-citations-metrics-of-social-impact-based-on-twitter-and-correlation-with-traditional-metrics-of-scientific-impact
#16
Gunther Eysenbach
BACKGROUND: Citations in peer-reviewed articles and the impact factor are generally accepted measures of scientific impact. Web 2.0 tools such as Twitter, blogs or social bookmarking tools provide the possibility to construct innovative article-level or journal-level metrics to gauge impact and influence. However, the relationship of the these new metrics to traditional metrics such as citations is not known. OBJECTIVE: (1) To explore the feasibility of measuring social impact of and public attention to scholarly articles by analyzing buzz in social media, (2) to explore the dynamics, content, and timing of tweets relative to the publication of a scholarly article, and (3) to explore whether these metrics are sensitive and specific enough to predict highly cited articles...
December 19, 2011: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/21483355/a-case-analysis-of-infomed-the-cuban-national-health-care-telecommunications-network-and-portal
#17
Ann C Séror
This is a condensed version of a longer article that appeared in Séror, A. A Case analysis of INFOMED: The Cuban National Health Care Telecommunications Network and Portal. Journal of Medical Internet Research. 2006;8(1). Access this article in original publication http://www.jmir.org/2006/1/e1.
January 2008: MEDICC Review
https://www.readbyqxmd.com/read/20841900/10-years-experience-with-pioneering-open-access-publishing-in-health-informatics-the-journal-of-medical-internet-research-jmir
#18
Gunther Eysenbach
Peer-reviewed journals remain important vehicles for knowledge transfer and dissemination in health informatics, yet, their format, processes and business models are changing only slowly. Up to the end of last century, it was common for individual researchers and scientific organizations to leave the business of knowledge transfer to professional publishers, signing away their rights to the works in the process, which in turn impeded wider dissemination. Traditional medical informatics journals are poorly cited and the visibility and uptake of articles beyond the medical informatics community remain limited...
2010: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/18725354/medicine-2-0-social-networking-collaboration-participation-apomediation-and-openness
#19
EDITORIAL
Gunther Eysenbach
In a very significant development for eHealth, broad adoption of Web 2.0 technologies and approaches coincides with the more recent emergence of Personal Health Application Platforms and Personally Controlled Health Records such as Google Health, Microsoft HealthVault, and Dossia. "Medicine 2.0" applications, services and tools are defined as Web-based services for health care consumers, caregivers, patients, health professionals, and biomedical researchers, that use Web 2.0 technologies and/or semantic web and virtual reality approaches to enable and facilitate specifically 1) social networking, 2) participation, 3) apomediation, 4) openness and 5) collaboration, within and between these user groups...
2008: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/16867971/the-open-access-advantage
#20
EDITORIAL
Gunther Eysenbach
A study published today in PLoS Biology provides robust evidence that open-access articles are more immediately recognized and cited than non-OA articles. This editorial provides some additional follow up data from the most recent analysis of the same cohort in April 2006, 17 to 21 months after publication. These data suggest that the citation gap between open access and non-open access papers continues to widen. I conclude with the observation that the "open access advantage" has at least three components: (1) a citation count advantage (as a metric for knowledge uptake within the scientific community), (2) an end user uptake advantage, and (3) a cross-discipline fertilization advantage...
2006: Journal of Medical Internet Research
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