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Automated Identification of Hookahs (Waterpipes) on Instagram: An Application in Feature Extraction Using Convolutional Neural Network and Support Vector Machine Classification
Conclusions: A CNN extracts more features of images, allowing an SVM classifier to be better informed, resulting in higher accuracy compared with methods that extract fewer features. Future research can use this method to grow the scope of image-based studies. The methods presented here might help detect increases in the popularity of certain tobacco products over time on social media. By taking images of waterpipes from Instagram, we place our methods in a context that can be utilized to inform health researchers analyzing social media to understand user experience with emerging tobacco products and inform public health s...
Source: Journal of Medical Internet Research - November 21, 2018 Category: General Medicine Authors: Youshan Zhang Jon-Patrick Allem Jennifer Beth Unger Tess Boley Cruz Source Type: research

Using Video Technology to Increase Treatment Completion for Patients With Latent Tuberculosis Infection on 3-Month Isoniazid and Rifapentine: An Implementation Study
Conclusions: The NYC TB program observed higher treatment completion with VDOT than that previously seen with clinic DOT among patients on 3HP. Expanding the use of VDOT may improve treatment completion and corresponding outcomes for patients with LTBI. (Source: Journal of Medical Internet Research)
Source: Journal of Medical Internet Research - November 20, 2018 Category: General Medicine Authors: Chee Kin Lam Kara McGinnis Pilote Ashraful Haque Joseph Burzynski Christine Chuck Michelle Macaraig Source Type: research

Web-Based Signal Detection Using Medical Forums Data in France: Comparative Analysis
Conclusions: The specificity, PPV, and NPV were high. The overall performance was good, showing that data from medical forums may be a valuable source for signal detection. In total, up to 38% (12/32) of the SDRs could have been detected earlier, thus, ensuring the increased safety of patients. Further enhancements are needed to investigate the reliability and validation of patients’ medical forums worldwide, the extension of this analysis to all possible drugs or at least to a wider selection of drugs, as well as to further assess performance against established signals. (Source: Journal of Medical Internet Research)
Source: Journal of Medical Internet Research - November 20, 2018 Category: General Medicine Authors: Marie-Laure K ürzinger St éphane Schück Nathalie Texier Redhouane Abdellaoui Carole Faviez Julie Pouget Ling Zhang St éphanie Tcherny-Lessenot Stephen Lin Juhaeri Juhaeri Source Type: research

Evaluation of a Web-Based Intervention for Multiple Health Behavior Changes in Patients With Coronary Heart Disease in Home-Based Rehabilitation: Pilot Randomized Controlled Trial
Conclusions: Patients’ psychological resources such as motivation, self-efficacy, planning, and social support as well as lifestyle can be improved by a Web-based intervention that focuses on both PA and FVC. Such an intervention enriches extended rehabilitation approaches for cardiac patients to be active and remain healthy in daily life after hospital discharge. Trial Registration: ClinicalTrials.gov NCT01909349; https://clinicaltrials.gov/ct2/show/NCT01909349 (Archived by WebCite at http://www.webcitation.org/6pHV1A0G1) (Source: Journal of Medical Internet Research)
Source: Journal of Medical Internet Research - November 19, 2018 Category: General Medicine Authors: Yan Ping Duan Wei Liang Lan Guo Julian Wienert Gang Yan Si Sonia Lippke Source Type: research

New Integrated Model Approach to Understand the Factors That Drive Electronic Health Record Portal Adoption: Cross-Sectional National Survey
Conclusions: Our research model yields very good results, with relevant R2 in the most important dependent variables that help explain the adoption of EHR portals, behavior intention, and use behavior. (Source: Journal of Medical Internet Research)
Source: Journal of Medical Internet Research - November 19, 2018 Category: General Medicine Authors: Jorge Tavares Tiago Oliveira Source Type: research

Hookah-Related Posts to Twitter From 2017 to 2018: Thematic Analysis
Conclusions: Social events, appeal or abuse liability, flavors, and polysubstance use were the common contexts and experiences associated with Twitter discussions about hookah in 2017-2018. Considered in concert with traditional data sources about hookah, these results suggest that social events, appeal or abuse liability, flavors, and polysubstance use warrant consideration as targets in future surveillance, policy making, and interventions addressing hookah. (Source: Journal of Medical Internet Research)
Source: Journal of Medical Internet Research - November 19, 2018 Category: General Medicine Authors: Jon-Patrick Allem Likhit Dharmapuri Adam M Leventhal Jennifer B Unger Tess Boley Cruz Source Type: research

Measuring Engagement in eHealth and mHealth Behavior Change Interventions: Viewpoint of Methodologies
Engagement in electronic health (eHealth) and mobile health (mHealth) behavior change interventions is thought to be important for intervention effectiveness, though what constitutes engagement and how it enhances efficacy has been somewhat unclear in the literature. Recently published detailed definitions and conceptual models of engagement have helped to build consensus around a definition of engagement and improve our understanding of how engagement may influence effectiveness. This work has helped to establish a clearer research agenda. However, to test the hypotheses generated by the conceptual modules, we need to kno...
Source: Journal of Medical Internet Research - November 16, 2018 Category: General Medicine Authors: Camille E Short Ann DeSmet Catherine Woods Susan L Williams Carol Maher Anouk Middelweerd Andre Matthias M üller Petra A Wark Corneel Vandelanotte Louise Poppe Melanie D Hingle Rik Crutzen Source Type: research

Feasibility, Acceptability, and Adoption of Digital Fingerprinting During Contact Investigation for Tuberculosis in Kampala, Uganda: A Parallel-Convergent Mixed-Methods Analysis
Conclusions: We found that digital fingerprinting was feasible and acceptable for individual identification, but problems implementing the hardware and software lead to a high failure rate. Although CHWs found fingerprinting to be acceptable in principle, their intention to use the technology was tempered by perceptions that it was inconsistent and of questionable value. TAM2 provided a valuable framework for understanding the motivations behind CHWs’ intentions to use the technology. We emphasize the need for routine process evaluation of biometrics and other digital technologies in resource-constrained settings to asse...
Source: Journal of Medical Internet Research - November 15, 2018 Category: General Medicine Authors: Elizabeth B White Amanda J Meyer Joseph M Ggita Diana Babirye David Mark Irene Ayakaka Jessica E Haberer Achilles Katamba Mari Armstrong-Hough John Lucian Davis Source Type: research

Defining and Predicting Pain Volatility in Users of the Manage My Pain App: Analysis Using Data Mining and Machine Learning Methods
Conclusions: We propose a novel method for measuring pain volatility. Cluster analysis was applied to divide users into subsets of low and high volatility classes. These classes were then predicted at the sixth month of app use with an acceptable degree of accuracy using machine learning methods based on the features extracted from demographic, clinical, and app use information from the first month. (Source: Journal of Medical Internet Research)
Source: Journal of Medical Internet Research - November 15, 2018 Category: General Medicine Authors: Quazi Abidur Rahman Tahir Janmohamed Meysam Pirbaglou Hance Clarke Paul Ritvo Jane M Heffernan Joel Katz Source Type: research

Internet-Delivered Early Interventions for Individuals Exposed to Traumatic Events: Systematic Review
Conclusions: Consistent with the notion that many experience natural recovery following trauma, results imply that indicated early internet-delivered interventions hold the most promise in future prevention efforts. More studies that use rigorous methods and clearly defined outcomes are needed to evaluate the efficacy of early internet-delivered interventions. Moreover, basic research on risk and resilience factors following trauma exposure is necessary to inform indicated internet-delivered interventions. (Source: Journal of Medical Internet Research)
Source: Journal of Medical Internet Research - November 14, 2018 Category: General Medicine Authors: Naomi Ennis Iris Sijercic Candice M Monson Source Type: research

An Interpretable and Expandable Deep Learning Diagnostic System for Multiple Ocular Diseases: Qualitative Study
Conclusions: The interpretable and expandable medical artificial intelligence platform was successfully built; this system can identify the disease, distinguish different anatomical parts and foci, discern the diagnostic information relevant to the diagnosis of diseases, and provide treatment suggestions. During this process, the whole diagnostic flow becomes clear and understandable to both doctors and their patients. Moreover, other diseases can be seamlessly integrated into this system without any influence on existing modules or diseases. Furthermore, this framework can assist in the clinical training of junior doctors...
Source: Journal of Medical Internet Research - November 14, 2018 Category: General Medicine Authors: Kai Zhang Xiyang Liu Fan Liu Lin He Lei Zhang Yahan Yang Wangting Li Shuai Wang Lin Liu Zhenzhen Liu Xiaohang Wu Haotian Lin Source Type: research

Automatic Classification of Online Doctor Reviews: Evaluation of Text Classifier Algorithms
Conclusions: We conclude that it is feasible to classify doctor reviews. Automatically classifying these reviews would allow patients to easily search for doctors based on their personal preference criteria. (Source: Journal of Medical Internet Research)
Source: Journal of Medical Internet Research - November 12, 2018 Category: General Medicine Authors: Ryan Rivas Niloofar Montazeri Nhat XT Le Vagelis Hristidis Source Type: research

The Generalizability of Randomized Controlled Trials of Self-Guided Internet-Based Cognitive Behavioral Therapy for Depressive Symptoms: Systematic Review and Meta-Regression Analysis
Conclusions: A conservative interpretation of our findings is that the patient population sampled in the literature on self-guided iCBT is relatively comparable with that of studies of antidepressants or face-to-face psychotherapy. Alternatively, studies of unguided cognitive behavioral therapy may sample from a more heterogeneous and representative patient population. Until evidence emerges to suggest otherwise, the patient population sampled in self-guided iCBT studies cannot be considered as less complex than the patient population from face-to-face psychotherapy or antidepressant studies. (Source: Journal of Medical Internet Research)
Source: Journal of Medical Internet Research - November 9, 2018 Category: General Medicine Authors: Lorenzo Lorenzo-Luaces Emily Johns John R Keefe Source Type: research

Using Facebook for Large-Scale Online Randomized Clinical Trial Recruitment: Effective Advertising Strategies
Targeted Facebook advertising can be an effective strategy to recruit participants for a large-scale online study. Facebook advertising is useful for reaching people in a wide geographic area, matching a specific demographic profile. It can also target people who would be unlikely to search for the information and would thus not be accessible via Google AdWords. It is especially useful when it is desirable not to raise awareness of the study in a demographic group that would be ineligible for the study. This paper describes the use of Facebook advertising to recruit and enroll 1145 women over a 15-month period for a random...
Source: Journal of Medical Internet Research - November 8, 2018 Category: General Medicine Authors: Laura Akers Judith S Gordon Source Type: research

Correlations Between Hospitals ’ Social Media Presence and Reputation Score and Ranking: Cross-Sectional Analysis
Conclusions: A statistically significant correlation exists between multiple social media metrics and both a hospital’s reputation score and total points (ie, overall rank). This association may indicate that a hospital’s reputation may be influenced by its social media presence or that the reputation or rank of a hospital drives social media followers. (Source: Journal of Medical Internet Research)
Source: Journal of Medical Internet Research - November 8, 2018 Category: General Medicine Authors: Justin D Triemstra Rachel Stork Poeppelman Vineet M Arora Source Type: research