Patients are increasingly turning to online physician ratings, just as they have sought ratings for other products and services. Much of what is known about these sites comes from studies of the ratings left on them. 1 Little is known about the public's awareness and use of online physician ratings, and whether these sites influence decisions about selecting a physician.

Background Digital mental health interventions (DMHIs), which deliver mental health support via technologies such as mobile apps, can increase access to mental health support, and many studies have demonstrated their effectiveness in improving symptoms. However, user engagement varies, with regard to a user’s uptake and sustained interactions with these interventions. Objective This systematic review aims to identify common barriers and facilitators that influence user engagement with DMHIs. Methods A systematic search was conducted in the SCOPUS, PubMed, PsycINFO, Web of Science, and Cochrane Library databases. Empirical studies that report qualitative and/or quantitative data were included. Results A total of 208 articles met the inclusion criteria. The included articles used a variety of methodologies, including interviews, surveys, focus groups, workshops, field studies, and analysis of user reviews. Factors extracted for coding were related to the end user, the program or content offered by the intervention, and the technology and implementation environment. Common barriers included severe mental health issues that hampered engagement, technical issues, and a lack of personalization. Common facilitators were social connectedness facilitated by the intervention, increased insight into health, and a feeling of being in control of one’s own health. Conclusions Although previous research suggests that DMHIs can be useful in supporting mental health, contextual factors are important determinants of whether users actually engage with these interventions. The factors identified in this review can provide guidance when evaluating DMHIs to help explain and understand user engagement and can inform the design and development of new digital interventions.

Objective This paper describes the University of Michigan's nine-year experience in developing and using a full-text search engine designed to facilitate information retrieval (IR) from narrative documents stored in electronic health records (EHRs). The system, called the Electronic Medical Record Search Engine (EMERSE), functions similar to Google but is equipped with special functionalities for handling challenges unique to retrieving information from medical text. Materials and Methods Key features that distinguish EMERSE from general-purpose search engines are discussed, with an emphasis on functions crucial to (1) improving medical IR performance and (2) assuring search quality and results consistency regardless of users' medical background, stage of training, or level of technical expertise. Results Since its initial deployment, EMERSE has been enthusiastically embraced by clinicians, administrators, and clinical and translational researchers. To date, the system has been used in supporting more than 750 research projects yielding 80 peer-reviewed publications. In several evaluation studies, EMERSE demonstrated very high levels of sensitivity and specificity in addition to greatly improved chart review efficiency. Discussion Increased availability of electronic data in healthcare does not automatically warrant increased availability of information. The success of EMERSE at our institution illustrates that free-text EHR search engines can be a valuable tool to help practitioners and researchers retrieve information from EHRs more effectively and efficiently, enabling critical tasks such as patient case synthesis and research data abstraction. Conclusion EMERSE, available free of charge for academic use, represents a state-of-the-art medical IR tool with proven effectiveness and user acceptance.

Background-Many forms of home-based technology targeting stroke rehabilitation have been devised, and a number of human factors are important to their application, suggesting the need to examine this information in a comprehensive review. Objective-The systematic review aims to synthesize the current knowledge of technologies and human factors in home-based technologies for stroke rehabilitation. Methods-We conducted a systematic literature search in three electronic databases (IEEE, ACM, PubMed), including secondary citations from the literature search. We included articles that used technological means to help stroke patients conduct rehabilitation at home, reported empirical studies that evaluated the technologies with patients in the home environment, and were published in English. Three authors independently conducted the content analysis of searched articles using a list of interactively defined factors. Results-The search yielded 832 potentially relevant articles, leading to 31 articles that were included for in-depth analysis. The types of technology of reviewed articles included games, telerehabilitation, robotic devices, virtual reality devices, sensors, and tablets. We present the merits and limitations of each type of technology. We then derive two main human factors in designing home-based technologies for stroke rehabilitation: designing for engagement (including external and internal motivation) and designing for the home environment (including understanding the social context, practical challenges, and technical proficiency).

We developed a suggested checklist to improve the methodological and results reporting consistency of T&M research, so that meaningful insights can be derived from across-study synthesis and health informatics, as a field, will be able to accumulate knowledge from these studies.

Objective This pilot randomized controlled trial examined the effect of an online intervention for college students at risk for suicide, Electronic Bridge to Mental Health Services (eBridge), which included personalized feedback and optional online counseling delivered in accordance with motivational interviewing principles. Primary outcomes were readiness to seek information or talk with family and friends about mental health treatment, readiness to seek mental health treatment, and actual treatment linkage. Method Participants were 76 college students (45 women, 31 men; mean age = 22.9 years, SD = 5.0 years) at a large public university who screened positive for suicide risk, defined by at least two of the following: suicidal thoughts, history of suicide attempt, depression, and alcohol abuse. Racial/ethnic self-identifications were primarily Caucasian (n = 54) and Asian (n = 21). Students were randomized to eBridge or the control condition (personalized feedback only, offered in plain report format). Outcomes were measured at 2-month follow-up. Results Despite relatively modest engagement in online counseling (29% of students posted ≥ 1 message), students assigned to eBridge reported significantly higher readiness for help-seeking scores, especially readiness to talk to family, talk to friends, and see a mental health professional. Students assigned to eBridge also reported lower stigma levels and were more likely to link to mental health treatment. Conclusions Findings suggest that offering students personalized feedback and the option of online counseling, using motivational interviewing principles, has a positive impact on students’ readiness to consider and engage in mental health treatment. Further research is warranted to determine the robustness of this effect, the mechanism by which improved readiness and treatment linkage occurs, and the longer term impact on student mental health outcomes.

Health IT implementations often introduce radical changes to clinical work processes and workflow. Prior research investigating this effect has shown conflicting results. Recent time and motion studies have consistently found that this impact is negligible; whereas qualitative studies have repeatedly revealed negative end-user perceptions suggesting decreased efficiency and disrupted workflow. We speculate that this discrepancy may be due in part to the design of the time and motion studies, which is focused on measuring clinicians' 'time expenditures' among different clinical activities rather than inspecting clinical 'workflow' from the true 'flow of the work' perspective. In this paper, we present a set of new analytical methods consisting of workflow fragmentation assessments, pattern recognition, and data visualization, which are accordingly designed to uncover hidden regularities embedded in the flow of the work. Through an empirical study, we demonstrate the potential value of these new methods in enriching workflow analysis in clinical settings.

A qualitative study on a home-based stroke telerehabilitation system Objective: This paper reports a qualitative study of a home-based stroke telerehabilitation system. The telerehabilitation system delivers treatment sessions in the form of daily guided rehabilitation games, exercises, and stroke education in the patient's home. The aims of the current report are to investigate patient perceived benefits of and barriers to using the telerehabilitation system at home. Methods: We used a qualitative study design that involved in-depth semistructured interviews with 13 participants who were patients in the subacute phase after stroke and had completed a six-week intervention using the homebased telerehabilitation system. Thematic analysis was conducted to analyse the data. Results: Participants mostly reported positive experiences with the telerehabilitation system. Benefits included observed improvements in limb functions, cognitive abilities, and emotional well-being. They also perceived the system easy to use due to the engaging experience and the convenience of conducting sessions at home. Meanwhile, participants pointed out the importance of considering technical support and physical environment at home. Further, family members' support helped them sustain in their rehabilitation. Finally, adjusting difficulty levels and visualizing patients' rehabilitation progress might help them in continued use of the telerehabilitation system. Conclusion: The telerehabilitation system studied provides patients with homebased access to rehabilitation games, exercises, stroke education, and therapists. Based on participants' qualitative feedback, it is a promising tool to deliver stroke rehabilitation therapies effectively and remotely to patients at home.