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Mobile and tablet apps, ubiquitous and pervasive computing, wearable computing and domotics for health.
JMIR mHealth and uHealth (JMU, ISSN 2291-5222) is a sister journal of JMIR, the leading eHealth journal. JMIR mHealth and uHealth is indexed in PubMed, PubMed Central, Scopus, and Science Citation Index Expanded (SCIE), and in June 2018 received an Impact Factor of 4.541, which ranks the journal #2 (behind JMIR) out of 25 journals in the medical informatics category indexed by the Science Citation Index Expanded (SCIE) by Thomson Reuters/Clarivate.
The journal focusses on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics.
JMIR mHealth and uHealth publishes since 2013 and was the first mhealth journal in Pubmed. It publishes even faster and has a broader scope with including papers which are more technical or more formative/developmental than what would be published in the Journal of Medical Internet Research.
JMIR mHealth and uHealth features a rapid and thorough peer-review process, professional copyediting, professional production of PDF, XHTML, and XML proofs.
JMIR mHealth and uHealth adheres to the same quality standards as JMIR and all articles published here are also cross-listed in the Table of Contents of JMIR, the worlds' leading medical journal in health sciences / health services research and health informatics.
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Background: Medication error reporting is one of the essential mechanisms to identify risky healthcare systems and practices that can lead to medication error. Unreported medication errors are real is...
Background: Medication error reporting is one of the essential mechanisms to identify risky healthcare systems and practices that can lead to medication error. Unreported medication errors are real issue and one of the identified causes is burdensome medication error reporting system. Objective: The objective of this paper is to report usability testing of a mobile application(app) for reporting ME to report medication error anonymously. Methods: Quantitative and qualitative methods were employed involving 45 different testers (pharmacists, doctors and nurses) from a large tertiary hospital. Quantitative data was retrieved using task performance and rating of application and qualitative data was retrieved through focus group discussion (FGD). Three sessions, consisting of 15 testers each session; were conducted from January till March 2018. Results: Majority of testers were pharmacist 23/45 (51.1%), female 35/45 (77.8%) and mean age of testers were 36 [standard deviation (SD) 9]. A total of 135 complete reports were successfully submitted by the testers (3 reports per tester) and 88.9% of the reports were accurate. There was significant improvement in average System Usability Scale (SUS) in each sessions of development process (P<0.001) and average time to report medication error using the app not significantly different between each session (P=703) with an overall average time of 6.7 (SD=2.4). Testers found the app easy to use but doctors and nurses were unfamiliar with terms used especially medication process at which error occurred and type of error. Although, testers agreed that app can be used in the future for reporting but were apprehensive about security, validation and abuse of feedback featured in the app. Conclusions: Mobile application can be used to report medication error easily by various healthcare personnel and provide feedback on reporting. However, education on medication error reporting should be provide to doctors and nurses in Malaysia and security of app need to be established to boost reporting by this method. Clinical Trial: NMRR-15-1445-27125(IIR)
Background: To tackle the problem of obesity and related diseases in Switzerland cost-efficient, effective, innovative primary health care interventions for weight management are required. In this con...
Background: To tackle the problem of obesity and related diseases in Switzerland cost-efficient, effective, innovative primary health care interventions for weight management are required. In this context Oviva has developed a scalable technology for dietitians to counsel overweight and obese patients via a smartphone-app. Objective: Evaluate the effectiveness and feasibility of dietitian’s weight loss counselling using a smartphone-app for patients with overweight/obesity. Methods: In this pre-post test pilot study, overweight and obese adults participated in a one-year behavioral intervention to lose weight through remote counselling by dietitians. The study started in April 2016 and finished in May 2018 in the German-speaking part of Switzerland. Participants received individual counselling through the app and the exchange with the dietitian had a focus on regular feedback on photo-based food-log, motivation and education. The contents were tailored the individual life style goal set. The pre-defined intensity of remote counselling decreased during the year. Group chat could be used. Following outcomes were examined: weight change (primary outcome), HBA1c; fasting glucose; fasting insulin, triglyceride, HDL-cholesterol, blood pressure, BMI, waist circumference, body fat, and by a self-administered questionnaire: physical activity, dietary assessment, health related quality of life. Changes are tested between the beginning and after 3 months / after 12 months as well as between the 3rd month and the 12th month. Results: 36 women and 7 men participated with a mean age of 40.6 years and 36 participants (30 completed the study. Results showed weight change in kilogram after the first 12 weeks (Phase I): median: -3.8kg (range -15, 2.4) p<.001; between week 12 and week 52 median -1.1kg (range -9.7, 7) p=.08 and throughout the entire intervention -4.9kg (range -21.9, 7.5) p<.001. Further the clinical parameters Body Mass Index, waist circumference, body fat, blood pressure also demonstrated significant positive results over one-year intervention. The analysis of the self-administered questionnaire showed less significant results. Certain eating habits showed positive significant effects (higher frequency of vegetable, fruit, breakfast consumption, lower frequency of alcohol, sweet, fat consumption). Conclusions: The present study has shown that in addition to the professional skills of RD a profession specific application like Oviva can provide effective support that meets the needs of the individual (registered dietitians and clients) on the long path of behavioral change and sustainable weight reduction. Clinical Trial: ClinicalTrials.gov (NCT02694614) https://clinicaltrials.gov/ct2/show/NCT02694614
Background: More than 3.5 million Americans live with autism spectrum disorder (ASD). Major challenges persist in diagnosing ASD as no medical test to diagnose these disorders exist. Digital phenotypi...
Background: More than 3.5 million Americans live with autism spectrum disorder (ASD). Major challenges persist in diagnosing ASD as no medical test to diagnose these disorders exist. Digital phenotyping holds promise to helping guide in the clinical diagnoses and screening of ASD. Objective: To explore the feasibility of using the online social media platform Twitter to detect psychological and behavioral characteristics of self-identified persons with autism. Methods: Data from Twitter was retrieved from 152 self-identified users with autism or ASD and 182 randomly selected control users from March 22, 2012 to July 20, 2017. A comparative textual analysis of tweets about repetitive and obsessive-compulsive behavioral characteristics typically associated with autism was conducted between groups. Common emotional characteristics of persons with autism such as fear, paranoia and anxiety were also examined between groups through textual analysis. Timing of tweets was compared between users with autism and control users to identify patterns in communication. Results: Users with autism/ASD posted a significantly higher frequency of tweets related to the specific repetitive behavior of counting compared to control users (P<.001). Textual analysis of obsessive-compulsive behavioral characteristics such as fixate, excessive, and concern were significantly higher among users with autism compared to the control group (P<.001). Emotional terms related to fear, paranoia and anxiety were also tweeted at a significantly higher rate among users with autism compared to control users (P<.001). Users with autism posted a smaller proportion of tweets during time intervals of 00:00–05:59 (P<.001), 06:00–11:59 (P<.001), and 18:00-23.59 (P<.001), and a greater proportion of tweets from 12:00-17:59 (P<.001) compared to control users. Conclusions: Social media may be a valuable resource for observing unique psychological characteristics of self-identified persons with autism. Collecting and analyzing data from these digital platforms may afford opportunities to identify characteristics of autism and assist in the diagnosis or verification of autism disorders. This study highlights the feasibility of leveraging digital data for gaining new insights about various health conditions.
Background: Although elderly users comprise a major user group in the field of mHealth services, their adoption rate of mobile health services is relatively low compared to their use of offline health...
Background: Although elderly users comprise a major user group in the field of mHealth services, their adoption rate of mobile health services is relatively low compared to their use of offline health services. Increasing the adoption rate of mHealth services among elderly users is considered beneficial to aging in place. Objective: Drawing upon the trust transfer theory, this study investigated declining physiological conditions and support from hospitals in an integrated framework to explain elderly users’ intentions to use mHealth services and empirically examine the trust transfer mechanism. Methods: A survey comprising 395 elderly users was conducted to validate our research model and hypotheses. Results: The results revealed that: (1) trust in offline health services positively influences trust in mHealth services; (2) declining physiological conditions strengthen the effect of trust in offline health services regarding trust in mHealth services; and (3) support from hospitals weakens the effect of trust in mHealth services on the intention to use. Conclusions: We concluded that the trust transfer mechanism is a viable means of building initial trust in mHealth services. In addition, declining physiological conditions and support from hospitals are important for investigating mHealth services adoption among elderly users.
Background: A challenge for Internet-based smoking cessation interventions have been high dropout rates. Objective: To assess the efficiency of an Internet-based tailored smoking cessation interventio...
Background: A challenge for Internet-based smoking cessation interventions have been high dropout rates. Objective: To assess the efficiency of an Internet-based tailored smoking cessation intervention delivered by mobile phone text messages versus emails, in a real-world setting. Methods: An automated Randomized Controlled Trial of a multi component Norwegian Internet-based tailored smoking cessation intervention was conducted from May 2010-until October 2012. The RCT compared two different tailored message delivery formats. The participants were 4335 smokers, 16 years and older, recruited through an open, free governmental Internet site in Norway. We compared the text message (n=2188) with the email (n=2147) arm, using an intention-to-treat analysis. The main outome(s) were 7-days self-reported point-prevalence abstinence at 6 months post cessation. Results: The response rate was higher in the text message arm at 1 month (33.3% versus 29.8 %, P=.02) and at 3 months (25.8% versus 22.8%, P=.03). At 6 months there was no statistically significant difference in response rate P=.07. At 1 month, the reported quit rate was 19.1% in the text message - and 19.0 % in the email arm (OR 1.01; 95% CI’s .86-1.18) and at 6 months 11.5% in the text message and 11% in the email arm (OR 1.05; 95% CI’s .86-1.30). Conclusions: This large fully automated Randomized Controlled Trial shows, that 1 in 9 enrolled participants reported to have quit smoking at 6 months post cessation in both arms. Our study suggests that smoking cessation interventions delivered by mobile text messaging and emails may be equally successful at a population level. Clinical Trial: ClinicalTrials.gov NCT011030427
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Background: Up to 11% of patients scheduled for colonoscopy do not keep their appointments and up to 33% of those attending their appointments have inadequately cleansed bowels that can lead to poor v...
Background: Up to 11% of patients scheduled for colonoscopy do not keep their appointments and up to 33% of those attending their appointments have inadequately cleansed bowels that can lead to poor visualization of the colon and missed pathology. A smartphone application may be acceptable and far-reaching in improving patient adherence in the context of colonoscopy. Objective: To guide the development of colonAPPscopy, a smartphone application that supports colonoscopy attendance and preparation, we conducted focus groups to better understand user preferences for its content and features. Methods: Patients who had undergone outpatient colonoscopy in the prior 3 months and were aged 50-75, English- or French-speaking, and without inflammatory bowel disease or colorectal cancer participated in a focus group discussion at the McGill University Health Centre (Montreal, Canada). Discussions were 60-90 minutes, conducted by a trained facilitator using a standardized approach and audiotaped for analysis using the constant comparative approach. Participants discussed mobile health support tools they might use to help them carry out the colonoscopy, the informational content needed to support appointment adherence and bowel preparation, and the features that would make the mobile application easy to use. Results: Nine patients (2 women, 7 men) participated in 2 focus groups. Most participants accessed the internet for information related to colonoscopy and other health-related topics, but found some of the information not trustworthy, exaggerated and fear-inducing. Content areas identified for colonAPPscopy included: 1) instructions for the bowel preparation (laxative, diet, clear liquids), 2) medication restrictions, 3) appointment logistics, 4) communication with endoscopy staff, and 5) what to expect post-colonoscopy. Features for colonAPPscopy included: 1) reminders and alerts, 2) minimization of data input and 3) visual aids. The ability to tailor the smartphone application made it preferable to both paper and online instructions. Conclusions: Focus group participants identified novel content and features that had not been included in previous smartphone applications designed to support patient preparation for colonoscopy. These findings recognize the importance of including users in the development phase of building a smartphone application.