-
Martinez Rose posted an update 6 months, 3 weeks ago
The majority of posts on DailyStrength shared experiences, regardless of the gender, age group, or location of their authors. Furthermore, health-related posts on Twitter and Google+ were used to share experiences less frequently than posts on WebMD and DailyStrength. CONCLUSIONS We studied and analyzed the content of health-related social media posts. Our results can guide health advocates and researchers to better target patient populations based on the application type. Given a research question or an outreach goal, our results can be used to choose the best online forums to answer the question or disseminate a message. ©Ryan Rivas, Shouq A Sadah, Yuhang Guo, Vagelis Hristidis. Originally published in JMIR Public Health and Surveillance (http//publichealth.jmir.org), 01.04.2020.BACKGROUND Chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) is an immune-mediated peripheral neuropathy that is currently classified into several clinical subtypes, which are presumed to have different pathogenic mechanisms. Recently, studies identified a subgroup of patients with CIDP who were positive for IgG4 autoantibodies against paranodal proteins, such as neurofascin-155 and contactin-1, who respond poorly to first-line therapies for typical CIDP, including intravenous immunoglobulin therapy. OBJECTIVE This study aims to evaluate the efficacy and safety of intravenous rituximab according to IgG4 autoantibody status in patients with refractory CIDP. METHODS The Evaluation of the Efficacy and Safety of Rituximab in Refractory CIDP Patients with IgG4 Autoantibodies in the Exploratory Clinical (RECIPE) trial consists of 2 cohorts a multicenter, placebo-controlled, randomized study cohort of 15 patients with IgG4 autoantibody-positive CIDP (rituximabplacebo = 21) and an open-label trial cohoor the positioning of rituximab as a pathogenesis-based therapeutic for refractory CIDP. TRIAL REGISTRATION ClinicalTrials.gov NCT03864185, https//clinicaltrials.gov/ct2/show/NCT03864185 ; The Japan Registry of Clinical Trials jRCT2041180037, https//jrct.niph.go.jp/en-latest-detail/jRCT2041180037. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/17117. ©Shinobu Shimizu, Masahiro Iijima, Yuki Fukami, Natsuko Tamura, Masahiro Nakatochi, Masahiko Ando, Ryoji Nishi, Haruki Koike, Kenichi Kaida, Michiaki Koga, Takashi Kanda, Hidenori Ogata, Jun-Ichi Kira, Masahiro Mori, Satoshi Kuwabara, Masahisa Katsuno. Originally published in JMIR Research Protocols (http//www.researchprotocols.org), 01.04.2020.BACKGROUND Chronic hepatitis B virus (HBV) infection is a major cause of liver-related morbidity and mortality among Asian Americans in the United States. Despite the available resources, a majority of HBV-infected individuals are not able to access adequate health care owing to numerous barriers. OBJECTIVE This study aimed to assess the efficacy of a newly developed mobile texting app (HepTalk) in overcoming these barriers and improving patient engagement and health care access among HBV-infected and nonimmune individuals. METHODS HepTalk was employed for two-way communication between participants and patient navigators. A total of 82 Korean American participants who were either HBV infected or nonimmune to HBV, identified from a community hepatitis B campaign in New York, were enrolled in the study. After informed consent was obtained, both the frequency and themes of the text messages were evaluated. The effects of this communication on linkage to care at the end of the 6-month intervention period were analyzed and discussed. Sotrastaurin RESULTS On average, patient navigators sent and received 14 and 8 messages per participant, respectively, during the 6-month period. The themes of the messages were similar to the following 4 categories finding providers, scheduling appointments with providers, health education, and financial issues. Of the 82 participants, 78 were linked to care within 6 months (a 95% linkage rate). CONCLUSIONS HepTalk may be employed as an effective and strategic tool to facilitate communicative interaction between patients and patient navigators or health care providers, thereby improving patient engagement and health care access. ©Chul Hyun, Joseph McMenamin, Okhyun Ko, Soonsik Kim. Originally published in JMIR mHealth and uHealth (http//mhealth.jmir.org), 01.04.2020.BACKGROUND Many societies are facing demographic changes that challenge the viability of health and welfare systems. Serious games for health care and ambient assisted living (AAL) offer health benefits and support for older adults and may mitigate some of the negative effects of the demographic shift. OBJECTIVE This study aimed to examine the acceptance of serious games to promote physical health in AAL environments. Since AAL environments are designed specifically to support independent living in older adults, we studied the relationship among age and user diversity, performance in the game, and overall usability and acceptance evaluation. METHODS We developed a motion-based serious exercise game for prototypical AAL environments. In two evaluations, outside (n=71) and within (n=64) the AAL environment, we investigated the influence of age, gender, self-efficacy in interacting with technology, need for achievement on performance, effect of the game, usability evaluation of the game, and overall acceptance. RESULTS Both games were evaluated as easy to use and fun to play. Both game interventions had a strong pain-mitigating effect in older adults (game 1 -55%, P=.002; game 2 -66%, P=.01). CONCLUSIONS Serious exercise games outside and inside AAL environments can contribute to individuals’ health and well-being and to the stability of health care systems. ©Philipp Brauner, Martina Ziefle. Originally published in JMIR Serious Games (http//games.jmir.org), 01.04.2020.BACKGROUND Bipolar disorder is a prevalent mental health condition that is imposing significant burden on society. Accurate forecasting of symptom scores can be used to improve disease monitoring, enable early intervention, and eventually help prevent costly hospitalizations. Although several studies have examined the use of smartphone data to detect mood, only few studies deal with forecasting mood for one or more days. OBJECTIVE This study aimed to examine the feasibility of forecasting daily subjective mood scores based on daily self-assessments collected from patients with bipolar disorder via a smartphone-based system in a randomized clinical trial. METHODS We applied hierarchical Bayesian regression models, a multi-task learning method, to account for individual differences and forecast mood for up to seven days based on 15,975 smartphone self-assessments from 84 patients with bipolar disorder participating in a randomized clinical trial. We reported the results of two time-series cross-validation 1-day forecast experiments corresponding to two different real-world scenarios and compared the outcomes with commonly used baseline methods.