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Health Care and Precision Medicine Research: Analysis of a Scalable Data Science Platform
Conclusions: The implementation and use of integrated data science platforms offer organizations the opportunity to combine traditional datasets, including data from the electronic health record, with emerging big data sources, such as continuous patient monitoring and real-time laboratory results. These platforms can enable cost-effective and scalable analytics for the information that will be key to the delivery of precision medicine initiatives. Organizations that can take advantage of the technical advances found in data science platforms will have the opportunity to provide comprehensive access to health care data for...
Source: Journal of Medical Internet Research - April 8, 2019 Category: General Medicine Authors: Jacob McPadden Thomas JS Durant Dustin R Bunch Andreas Coppi Nathaniel Price Kris Rodgerson Charles J Torre Jr William Byron Allen L Hsiao Harlan M Krumholz Wade L Schulz Source Type: research

Implementation of a Novel Electronic Patient-Directed Smoking Cessation Platform for Cancer Patients: Interrupted Time Series Analysis
Conclusions: CEASE is an innovative tool to improve smoking screening and can be implemented in both a time- and cost-effective manner which promotes sustainability. CEASE was successfully implemented across all clinics and resulted in improvements in overall screening and referral rates and engagement with referral services. (Source: Journal of Medical Internet Research)
Source: Journal of Medical Internet Research - April 8, 2019 Category: General Medicine Authors: Meredith Elana Giuliani Geoffrey Liu Wei Xu Mihaela Dirlea Peter Selby Janet Papadakos Nazek Abdelmutti Dongyang Yang Lawson Eng David Paul Goldstein Jennifer Michelle Jones Source Type: research

Addressing Diabetes and Poorly Controlled Hypertension: Pragmatic mHealth Self-Management Intervention
Conclusion: We did not reduce uncontrolled hypertension even among the more highly engaged. However, 83% of a predominately minority and low-income population completed at least 67% of the multimodal mHealth intervention. Findings suggest that combining an automated electronic health record system to identify at-risk patients with a tailored mHealth protocol can provide education to this population. While this intervention was insufficient to effect behavioral change resulting in better hypertension control, it does suggest that this FQHC population will engage in low-cost population health applications with a potentially ...
Source: Journal of Medical Internet Research - April 8, 2019 Category: General Medicine Authors: Allison A. Lewinski Uptal D. Patel Clarissa J. Diamantidis Megan Oakes Khaula Baloch Matthew J. Crowley Jonathan Wilson Jane Pendergast Holly Biola L. Ebony Boulware Hayden B. Bosworth Source Type: research

Technology-Based Alcohol Interventions in Primary Care: Systematic Review
Conclusions: Our systematic review has highlighted a pattern of growth in the number of studies evaluating technology-based alcohol interventions in primary care. Although these interventions appear to be largely beneficial in primary care, outcomes may be enhanced by provider involvement and implementation strategy use. This review enables better understanding of the typologies and efficacy of these interventions and informs recommendations for those developing and implementing technology-based alcohol interventions in primary care settings. (Source: Journal of Medical Internet Research)
Source: Journal of Medical Internet Research - April 7, 2019 Category: General Medicine Authors: Alex T Ramsey Jason M Satterfield Donald R Gerke Enola K Proctor Source Type: research

What Do Patients Say About Doctors Online? A Systematic Review of Studies on Patient Online Reviews
Conclusions: PORs contain valuable information that can generate insights into quality of care and patient-provider relationship, but it has not been systematically used for studies of health care quality. With the advancement of machine learning and data analysis tools, we anticipate more research on PORs based on testable hypotheses and rigorous analytic methods. Trial Registration: International Prospective Register of Systematic Reviews (PROSPERO) CRD42018085057; https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=85057 (Archived by WebCite at http://www.webcitation.org/76ddvTZ1C) (Source: Journal of Medical Internet Research)
Source: Journal of Medical Internet Research - April 7, 2019 Category: General Medicine Authors: Y Alicia Hong Chen Liang Tiffany A Radcliff Lisa T Wigfall Richard L Street Source Type: research

Symptoms Prompting Interest in Celiac Disease and the Gluten-Free Diet: Analysis of Internet Search Term Data
Conclusions: We found an increase in antecedent searches for symptoms known to be associated with celiac disease, a rise in searches for depression and anxiety, and an increase in symptoms that are associated with celiac disease but may not be reported to health care providers. The protean clinical manifestations of celiac disease are reflected in the diffuse nature of antecedent internet queries of those interested in celiac disease, underscoring the challenge of effective case-finding strategies. (Source: Journal of Medical Internet Research)
Source: Journal of Medical Internet Research - April 7, 2019 Category: General Medicine Authors: Benjamin Lebwohl Elad Yom-Tov Source Type: research

Using the Technology Acceptance Model to Explore User Experience, Intent to Use, and Use Behavior of a Patient Portal Among Older Adults With Multiple Chronic Conditions: Descriptive Qualitative Study
Conclusions: Older adults are interested in using patient portals and are already taking advantage of the features available to them. We have the opportunity to better engage older adults in portal use but need to pay close attention to key considerations promoting usefulness and ease of use. (Source: Journal of Medical Internet Research)
Source: Journal of Medical Internet Research - April 7, 2019 Category: General Medicine Authors: Jennifer Dickman Portz Elizabeth A Bayliss Sheana Bull Rebecca S Boxer David B Bekelman Kathy Gleason Sara Czaja Source Type: research

Use of Rideshare Services to Increase Participant Recruitment and Retention in Research: Participant Perspectives
Conclusions: Rideshare services may represent a relatively low cost means for increasing study retention. Specifically, findings indicate that rideshare services may not be crucial for initial participant recruitment but for their retention in multi-visit studies. (Source: Journal of Medical Internet Research)
Source: Journal of Medical Internet Research - April 7, 2019 Category: General Medicine Authors: Eleanor Ladd Schneider Leavens Elise Marie Stevens Emma Irene Brett Neil Molina Thad Ryan Leffingwell Theodore Lee Wagener Source Type: research

Identification of Anxiety and Depression Symptoms in Patients With Cancer: Comparison Between Short and Long Web-Based Questionnaires
Conclusions: The use of the short and ultrashort tools, eVAS and HADS, may be a suitable initial method of Web-based screening in busy clinical settings. However, there are still a proportion of patients who lack access to the internet or the ability to use it. There is a need to find solutions for this group to find all the patients with psychological distress. (Source: Journal of Medical Internet Research)
Source: Journal of Medical Internet Research - April 4, 2019 Category: General Medicine Authors: Susanne Mattsson Erik Martin Gustaf Olsson Maria Carlsson Birgitta Beda Kristina Johansson Source Type: research

Digital Technology for Internet Access by Patients With Early-Stage Schizophrenia in Spain: Multicenter Research Study
Conclusions: To our knowledge, this is the first study to analyze patterns of internet access and use of digital technology devices and applications in Spanish patients with early-stage schizophrenia compared with healthy participants from the same demographic areas. The results on significant access and use of digital technology and internet shown in this cross-sectional study will allow enhanced and more efficient treatment strategies to be planned, utilizing digital technology devices, for patients with early-stage schizophrenia. (Source: Journal of Medical Internet Research)
Source: Journal of Medical Internet Research - April 4, 2019 Category: General Medicine Authors: Patricia Fern ández-Sotos Antonio Fern ández-Caballero Pascual Gonz ález Ana Isabel Aparicio Isabel Mart ínez-Gras Iosune Torio M ónica Dompablo Lorena Garc ía-Fernández Jos é Luis Santos Roberto Rodriguez-Jimenez Source Type: research

A Digital Game and School-Based Intervention for Students in Hong Kong: Quasi-Experimental Design
Conclusions: The Adventures of DoReMiFa, an integration of a digital game–based and school-based mental health enhancement intervention, was shown to be effective in elevating the knowledge of mental health and promoting perspective-taking in the primary school students of Hong Kong. Although there was insufficient evidence to support a reduction in symptoms of anxiety and negative automatic thoughts, the overall results were still encouraging in that a preventive effect was found, indicating that the program has the potential to enhance the mental well-being of schoolchildren. It also suggests that knowledge enhancement...
Source: Journal of Medical Internet Research - April 4, 2019 Category: General Medicine Authors: Angie KY Shum Eliza SY Lai Wing Gi Leung Mabel NS Cheng Ho Kit Wong Sam WK So Yik Wa Law Paul SF Yip Source Type: research

Crowdsourcing for Food Purchase Receipt Annotation via Amazon Mechanical Turk: A Feasibility Study
Conclusions: Our findings indicated high interrater agreement for questions across difficulty levels (eg, single- vs binary- vs multiple-choice items). Compared with traditional methods for coding receipt data, MTurk can produce excellent-quality data in a lower-cost, more time-efficient manner. (Source: Journal of Medical Internet Research)
Source: Journal of Medical Internet Research - April 4, 2019 Category: General Medicine Authors: Wenhua Lu Alexandra Guttentag Brian Elbel Kamila Kiszko Courtney Abrams Thomas R Kirchner Source Type: research

Applications of Machine Learning in Real-Life Digital Health Interventions: Review of the Literature
Conclusions: This review found that digital health interventions incorporating machine learning algorithms in real-life studies can be useful and effective. Given the low number of studies identified in this review and that they did not follow a rigorous machine learning evaluation methodology, we urge the research community to conduct further studies in intervention settings following evaluation principles and demonstrating the potential of machine learning in clinical practice. (Source: Journal of Medical Internet Research)
Source: Journal of Medical Internet Research - April 4, 2019 Category: General Medicine Authors: Andreas K Triantafyllidis Athanasios Tsanas Source Type: research

Physicians ’ Perceptions of Chatbots in Health Care: Cross-Sectional Web-Based Survey
Conclusions: Physicians believed in both costs and benefits associated with chatbots, depending on the logistics and specific roles of the technology. Chatbots may have a beneficial role to play in health care to support, motivate, and coach patients as well as for streamlining organizational tasks; in essence, chatbots could become a surrogate for nonmedical caregivers. However, concerns remain on the inability of chatbots to comprehend the emotional state of humans as well as in areas where expert medical knowledge and intelligence is required. (Source: Journal of Medical Internet Research)
Source: Journal of Medical Internet Research - April 4, 2019 Category: General Medicine Authors: Adam Palanica Peter Flaschner Anirudh Thommandram Michael Li Yan Fossat Source Type: research

Correction: Automatic Extraction of Mental Health Disorders From Domestic Violence Police Narratives: Text Mining Study
(Source: Journal of Medical Internet Research)
Source: Journal of Medical Internet Research - April 4, 2019 Category: General Medicine Authors: George Karystianis Armita Adily Peter Schofield Lee Knight Clara Galdon David Greenberg Louisa Jorm Goran Nenadic Tony Butler Source Type: research