Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Monday, December 24 through Wednesday, December 26 inclusive. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Advertisement

Journal Description

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.

 

Recent Articles:

  • A novel smartphone app: "CureApp Smoking Cessation". Source: iStock by Getty Images; Copyright: Sitthiphong; URL: https://www.istockphoto.com/ca/photo/women-using-a-smartphone-in-the-display-and-technology-advances-in-stores-take-your-gm950367512-259402412; License: Licensed by the authors.

    Impact of a Novel Smartphone App (CureApp Smoking Cessation) on Nicotine Dependence: Prospective Single-Arm Interventional Pilot Study

    Abstract:

    Background: Mobile apps have been considered to provide active and continuous support for smoking cessation. However, it is yet to be known whether a smoking cessation smartphone app improves long-term abstinence rates in nicotine-dependent patients. Objective: This study aimed to evaluate the long-term abstinence effect of a novel smartphone app, CureApp Smoking Cessation (CASC), in patients with nicotine dependence. Methods: In this prospective, interventional, multicenter, single-arm study, we provided the CASC app to all the participants, who used it daily for 24 weeks. The CASC app includes features to maximize the therapeutic effect of pharmacological therapies and counseling at outpatient clinics for smoking cessation. The primary endpoint was a continuous abstinence rate (CAR) from weeks 9 to 24, whereas secondary endpoints were CARs from weeks 9 to 12 and 9 to 52. Results: Of the 56 adult smokers recruited, 1 did not download the app; therefore, 55 participants constituted the full analysis sample. The CAR from weeks 9 to 24 was 64% (35/55, 95% CI 51%-76%), whereas the CARs from weeks 9 to 12 and 9 to 52 were 76% (42/55, 95% CI 65%-88%) and 58% (32/55, 95% CI 46%-71%), respectively. These CARs were better than the results of the national survey on outpatient clinics with regard to smoking cessation under the National Health Insurance Program and that of the varenicline phase 3 trial in Japan and the United States. There was only 1 participant who dropped out during the 12 weeks of the treatment period. This treatment decreased the scores related to withdrawal and craving symptoms. Conclusions: The addition of CASC to usual smoking cessation therapies resulted in high CARs, high patient retention rates, and improvement of cessation-related symptoms. The smartphone app CASC is a feasible and useful tool to help long-term continuous abstinence that can be combined with a standard smoking cessation treatment program.

  • Source: Flickr; Copyright: Pan American Health Organization; URL: https://www.flickr.com/photos/pahowho/9368610326/in/photolist-NyBYNB-2cdzL7t-2cdzKUp-2cdzKHn-2aPHreT-2aPHr4x-2aPHqZ4-2b7yz8d-2cdzJqc-2b7yySy-NsjtUe-2b7yyGU-NsjtgF-2b7yy4j-2b7yxcE-2b7ywTo-29rYqS5-2b7ywJA-29rYqJu-29rYqy9-29rYqk3-2b7yvX5-2b7yvNN-29rYq1W-2cdz; License: Creative Commons Attribution + NoDerivatives (CC-BY-ND).

    Toward Developing a Standardized Core Set of Outcome Measures in Mobile Health Interventions for Tuberculosis Management: Systematic Review

    Abstract:

    Background: Tuberculosis (TB) management can be challenging in low- and middle-income countries (LMICs) not only because of its high burden but also the prolonged treatment period involving multiple drugs. With rapid development in mobile technology, mobile health (mHealth) interventions or using a mobile device for TB management has gained popularity. Despite the potential usefulness of mHealth interventions for TB, few studies have quantitatively synthesized evidence on its effectiveness, presumably because of variability in outcome measures reported in the literature. Objective: The aim of this systematic review was to evaluate the outcome measures reported in TB mHealth literature in LMICs. Methods: MEDLINE, EMBASE, and the Cochrane Database of Systematic Reviews were searched to identify mHealth intervention studies for TB (published up to May 2018) that reported any type of outcome measures. The extracted information included the study setting, types of mHealth technology used, target population, study design, and categories of outcome measures. Outcomes were classified into 13 categories including treatment outcome, adherence, process measure, perception, technical outcome, and so on. The qualitative synthesis of evidence focused on the categories of outcome measures reported by the type of mHealth interventions. Results: A total of 27 studies were included for the qualitative synthesis of evidence. The study designs varied widely, ranging from randomized controlled trials to economic evaluations. A total of 12 studies adopted short message service (SMS), whereas 5 studies used SMS in combination with additional technologies or mobile apps. The study populations were also diverse, including patients with TB, patients with TB/HIV, health care workers, and general patients attending a clinic. There was a wide range of variations in the definition of outcome measures across the studies. Among the diverse categories of outcome measures, treatment outcomes have been reported in 14 studies, but only 6 of them measured the outcome according to the standard TB treatment definitions by the World Health Organization. Conclusions: This critical evaluation of outcomes reported in mHealth studies for TB management suggests that substantial variability exists in reporting outcome measures. To overcome the challenges in evidence synthesis for mHealth interventions, this study can provide insights into the development of a core set of outcome measures by intervention type and study design.

  • Patients using Go-breath app. Source: Image created by the Authors; Copyright: Ji Yeong Soh; URL: http://mhealth.jmir.org/2019/2/e12204/; License: Creative Commons Attribution (CC-BY).

    A Mobile Phone–Based Self-Monitoring Tool for Perioperative Gastric Cancer Patients With Incentive Spirometer: Randomized Controlled Trial

    Abstract:

    Background: An incentive spirometer (IS) is a medical device used to help patients improve the functioning of their lungs. It is provided to patients who have had any surgery that might jeopardize respiratory function. An incentive spirometer plays a key role in the prevention of postoperative complications, and the appropriate use of an IS is especially well known for the prevention of respiratory complications. However, IS utilization depends on the patient’s engagement, and information and communication technology (ICT) can help in this area. Objective: This study aimed to determine the effect of mobile ICT on the usage of an IS (Go-breath) app by postoperative patients after general anesthesia. Methods: For this study, we recruited patients from April to May 2018, who used the Go-breath app at a single tertiary hospital in South Korea. The patients were randomly classified into either a test or control group. The main function of the Go-breath app was to allow for self-reporting and frequency monitoring of IS use, deep breathing, and active coughing in real time. The Go-breath app was identical for both the test and control groups, except for the presence of the alarm function. The test group heard an alarm every 60 min from 9 am to 9 pm for 2 days. For the test group alone, a dashboard was established in the nurse’s station through which a nurse could rapidly assess the performance of multiple patients. To evaluate the number of performances per group, we constructed an incentive spirometer index (ISI). Results: A total of 44 patients were recruited, and 42 of them completed the study protocol. ISI in the test group was 20.2 points higher than that in the control group (113.5 points in the test group and 93.2 points in the control group, P=.22). The system usability scale generally showed almost the same score in the 2 groups (79.3 points in the test group and 79.4 points in the control group, P=.94). We observed that the performance rates of IS count, active coughing, and deep breathing were also higher in the test group but with no statistically significant difference between the groups. For the usefulness “yes or no” question, over 90% (38/42) of patients answered “yes” and wanted more functional options and information. Conclusions: The use of the Go-breath app resulted in considerable differences between the test group and control group but with no statistically significant differences. Trial Registration: ClinicalTrials.gov NCT03569332; https://clinicaltrials.gov/ct2/show/NCT03569332 (Archived by WebCite at http://www.webcitation.org/74ihKmQIX).

  • Source: The Authors / Placeit; Copyright: JMIR Publications; URL: http://mhealth.jmir.org/2019/2/e11606; License: Creative Commons Attribution (CC-BY).

    The Current State of Mobile Phone Apps for Monitoring Heart Rate, Heart Rate Variability, and Atrial Fibrillation: Narrative Review

    Abstract:

    Background: Mobile phone apps capable of monitoring arrhythmias and heart rate (HR) are increasingly used for screening, diagnosis, and monitoring of HR and rhythm disorders such as atrial fibrillation (AF). These apps involve either the use of (1) photoplethysmographic recording or (2) a handheld external electrocardiographic recording device attached to the mobile phone or wristband. Objective: This review seeks to explore the current state of mobile phone apps in cardiac rhythmology while highlighting shortcomings for further research. Methods: We conducted a narrative review of the use of mobile phone devices by searching PubMed and EMBASE from their inception to October 2018. Potentially relevant papers were then compared against a checklist for relevance and reviewed independently for inclusion, with focus on 4 allocated topics of (1) mobile phone monitoring, (2) AF, (3) HR, and (4) HR variability (HRV). Results: The findings of this narrative review suggest that there is a role for mobile phone apps in the diagnosis, monitoring, and screening for arrhythmias and HR. Photoplethysmography and handheld electrocardiograph recorders are the 2 main techniques adopted in monitoring HR, HRV, and AF. Conclusions: A number of studies have demonstrated high accuracy of a number of different mobile devices for the detection of AF. However, further studies are warranted to validate their use for large scale AF screening.

  • Source: Pexels; Copyright: Helena Lopes; URL: https://www.pexels.com/photo/two-dinner-plates-on-square-brown-wooden-bar-table-693269/; License: Licensed by JMIR.

    Evaluating Mobile Health Apps for Customized Dietary Recording for Young Adults and Seniors: Randomized Controlled Trial

    Abstract:

    Background: The role of individual-tailored dietary recording in mobile phone health apps has become increasingly important in management of self-health care and population-based preventive service. The development of such mobile apps for user-centered designing is still challengeable and requires further scientific evidence. Objective: This study aims to conduct a randomized trial to assess the accuracy and time efficiency of two prototypes for dietary recoding utilization related to the input method of food intake. Methods: We first present an innovative combinatorial concept for dietary recording to account for dish variation. One prototype was a self-chosen tab app that featured choosing each food ingredient to synthesize an individual dish, whereas the other was an autonomous exhaustive list app that provided one selection from a comprehensive list of dish items. The concept included commercially available choices that allowed users to more accurately account for their individual food selection. The two mobile apps were compared in a head-to-head parallel randomized trial evaluation. Young adults (n=70, aged 18-29) and older adults (n=35, aged 55-73) were recruited and randomized into two groups for accuracy and response time evaluation based on 12 types of food items in use of the developed self-chosen tab and autonomous exhaustive list apps, respectively. Results: For the trials based on the self-chosen tab (53 participants) and autonomous exhaustive list groups (52 participants), the two prototypes were found to be highly accurate (>98%). The self-chosen tab app was found to be more efficient, requiring significantly less time for input of 11 of 12 items (P<.05). The self-chosen tab users occasionally neglected to select food attributes, an issue which did not occur in the autonomous exhaustive list group. Conclusions: Our study contributes through the scientific evaluation of the transformation step into prototype development to demonstrate that a self-chosen tab app has potentially better opportunity in effectiveness and efficiency. The combinatorial concept offers potential for dietary recording and planning which can account for high food item variability. Our findings on prototype development of diversified dietary recordings provide design consideration and user interaction for related further app development and improvement. Trial Registration: ISRCTN Registry ISRCTN86142301; http://www.isrctn.com/ ISRCTN86142301 (Archived by WebCite at http://www.webcitation.org/74YLEPYnS)

  • Health Coaching with mHealth. Source: The Authors; Copyright: The Authors; URL: http://mhealth.jmir.org/2019/1/e10988/; License: Licensed by JMIR.

    Evaluating Motivational Interviewing and Habit Formation to Enhance the Effect of Activity Trackers on Healthy Adults’ Activity Levels: Randomized...

    Abstract:

    Background: While widely used and endorsed, there is limited evidence supporting the benefits of activity trackers for increasing physical activity; these devices may be more effective when combined with additional strategies that promote sustained behavior change like motivational interviewing (MI) and habit development. Objective: This study aims to determine the utility of wearable activity trackers alone or in combination with these behavior change strategies for promoting improvements in active and sedentary behaviors. Methods: A sample of 91 adults (48/91 female, 53%) was randomized to receive a Fitbit Charge alone or in combination with MI and habit education for 12 weeks. Active and sedentary behaviors were assessed pre and post using research-grade activity monitors (ActiGraph and activPAL), and the development of habits surrounding the use of the trackers was assessed postintervention with the Self-Reported Habit Index. During the intervention, Fitbit wear time and activity levels were monitored with the activity trackers. Linear regression analyses were used to determine the influence of the trial on outcomes of physical activity and sedentary time. The influence of habits was examined using correlation coefficients relating habits of tracker use (wearing the tracker and checking data on the tracker and associated app) to Fitbit wear time and activity levels during the intervention and at follow-up. Results: Regression analyses revealed no significant differences by group in any of the primary outcomes (all P>.05). However, personal characteristics, including lower baseline activity levels (beta=–.49, P=.01) and lack of previous experience with pedometers (beta=–.23, P=.03) were predictive of greater improvements in moderate and vigorous physical activity. Furthermore, for individuals with higher activity levels at the baseline, MI and habit education were more effective for maintaining these activity levels when compared with receiving a Fitbit alone (eg, small increase of ~48 steps/day, d=0.01, vs large decrease of ~1830 steps/day, d=0.95). Finally, habit development was significantly related to steps/day during (r=.30, P=.004) and following the intervention (r=.27, P=.03). Conclusions: This study suggests that activity trackers may have beneficial effects on physical activity in healthy adults, but benefits vary based on individual factors. Furthermore, this study highlights the importance of habit development surrounding the wear and use of activity trackers and the associated software to promote increases in physical activity. Trial Registration: ClinicalTrials.gov NCT03837366; https://clinicaltrials.gov/ct2/show/NCT03837366

  • Log2Lose. Source: iStock by Getty; Copyright: silverkblack; URL: https://www.istockphoto.com/ca/photo/two-cheerful-mixed-race-curly-girlfriends-shopping-online-with-tablet-computer-and-gm898378948-247885988; License: Licensed by the authors.

    Log2Lose: Development and Lessons Learned From a Mobile Technology Weight Loss Intervention

    Abstract:

    Background: Providing financial incentives has gained popularity as a strategy to promote weight loss, but questions remain about how best to utilize them. A promising mobile health strategy provides users with near-real-time financial incentives based on both the process of weight loss (behavioral modification) and actual weight loss. To maximize the impact of this strategy, a methodology is needed to close the gap between the desired behavior and the financial incentive. Leveraging mobile health tools—such as mobile phone apps, cellular body weight scales that transmit data to physicians and researchers, and text messaging for instructions and encouragement—has the potential to close this gap. Objective: This study aimed to describe the development of an innovative technology-based solution and lessons learned from a feasibility trial—Log2Lose—that encouraged individuals to lose weight by providing near-real-time financial incentives for weight loss and/or dietary self-monitoring. Methods: We recruited participants (N=96) with a body mass index greater than or equal to 30 kg/m2 for a 24-week weight loss trial. Participants received a behavioral intervention of biweekly, in-person group sessions and were instructed to log a minimum number of daily calories in MyFitnessPal and to step on the BodyTrace cellular scale at least twice per week. In a 2×2 design, participants were randomized into 4 groups to receive financial incentives for the following: (group 1) weekly weight loss and dietary self-monitoring, (group 2) dietary self-monitoring only, (group 3) weekly weight loss only, or (group 4) no financial incentives. Diet and weight data from the devices were obtained through application programming interfaces. Each week, we applied algorithms to participants’ data to determine whether they qualified for a monetary incentive (groups 1-3). A text message notified these participants of whether they met weight loss and/or self-monitoring requirements to earn an incentive and the amount they earned or would have earned. The money was uploaded to a debit card. Results: Our custom-engineered software platform analyzed data from multiple sources, collated and processed the data to send appropriate text messages automatically, and informed study staff of the appropriate incentives. We present lessons learned from the development of the software system and challenges encountered with technology, data transmission, and participants (eg, lost connections or delayed communication). Conclusions: With consistent and constant validation checks and a robust beta test run, the process of analyzing data and determining eligibility for weekly incentives can be mostly automated. We were able to accomplish this project within an academic health system, which required significant security and privacy safeguards. Our success demonstrates how this methodology of automated feedback loops can provide health interventions via mobile technology. Trial Registration: ClinicalTrials.gov NCT02691260; https://clinicaltrials.gov/ct2/show/NCT02691260

  • Source: Image created by the Authors; Copyright: The Authors; URL: http://mhealth.jmir.org/2019/2/e11644/; License: Creative Commons Attribution (CC-BY).

    The MomConnect Nurses and Midwives Support Platform (NurseConnect): A Qualitative Process Evaluation

    Abstract:

    Background: Over the past decade, mobile health has steadily increased in low-income and middle-income countries. However, few platforms have been able to sustainably scale up like the MomConnect program in South Africa. NurseConnect was created as a capacity building component of MomConnect, aimed at supporting nurses and midwives in maternal and child health. The National Department of Health has committed to expanding NurseConnect to all nurses across the country, and an evaluation of the current user experience was conducted to inform a successful scale up. Objective: This study aims to evaluate the perception and use of NurseConnect by nurses and midwives to produce feedback that can be used to optimize the user experience as the platform continues to scale up. Methods: We conducted focus group discussions and in-depth interviews with 110 nurses and midwives from 18 randomly selected health care facilities across South Africa. Questions focused on mobile phone use, access to medical information and their experience with NurseConnect registration, as well as the content and different platforms. Results: All participants had mobile phones and communication through calls and messaging was the main use in both personal and work settings. Of 110 participants, 108 (98.2%) had data-enabled phones, and the internet, Google, and apps (South African National Department of Health Guidelines, iTriage, Drugs.com) were commonly used, especially to find information in the work setting. Of 110 participants, 62 (56.4%) were registered NurseConnect users and liked the message content, especially listeriosis and motivational messages, which created behavioral change in some instances. The mobisite and helpdesk, however, were underutilized because of a lack of information surrounding these platforms. Some participants did not trust medical information from websites and had more confidence in apps, while others associated a “helpdesk” with a call-in service, not a messaging one. Many of the unregistered participants had not heard of NurseConnect, and some cited data and time constraints as barriers to both registration and uptake. Conclusions: Mobile and smartphone penetration was very high, and participants often used their phone to find medical information. The NurseConnect messages were well-liked by all registered participants; however, the mobisite and helpdesk were underutilized owing to a lack of information and training around these platforms. Enhanced marketing and training initiatives that optimize existing social networks, as well as the provision of data and Wi-Fi, should be explored to ensure that registration improves, and that users are active across all platforms.

  • Source: Freepik; Copyright: Freepik; URL: https://www.freepik.com/free-photo/man-typing-message-on-smartphone_1466868.htm; License: Licensed by JMIR.

    Can Brief, Daily Training Using a Mobile App Help Change Maladaptive Beliefs? Crossover Randomized Controlled Trial

    Abstract:

    Background: Obsessive-compulsive disorder (OCD) is a disabling condition with a wide variety of clinical presentations including contamination fears, fear of harm, and relationship-related obsessions. Cognitive behavioral models of OCD suggest that OC symptoms result from catastrophic misinterpretations of commonly occurring intrusive experiences and associated dysfunctional strategies used to manage them. OCD-related maladaptive beliefs including inflated responsibility, importance and control of thoughts, perfectionism, and intolerance for uncertainty increase the likelihood of such misinterpretations. Objective: Considering accumulating evidence suggesting that mobile health (mHealth) apps based on cognitive-behavioral principles may lead to significant reductions in psychopathological symptoms, we assessed the effectiveness of a novel cognitive training app (GGRO) designed to challenge OCD-related beliefs. Methods: A total of 97 students were randomized to groups undertaking immediate-use (iApp) or delayed use (dApp) of GGRO. All participants were requested to complete Web-based assessments, with questionnaires relating to maladaptive beliefs, mood, and OC symptoms at baseline (T1), 15 days from baseline (T2), and 30 days from baseline (T3). Participants in iApp group started using the app at baseline and continued using the app for 15 consecutive days. They were then requested to stop using the app until T3. Participants in the dApp group were requested to wait for 15 days and only then start using the app (crossover) for 15 consecutive days. Results: All participants used the app for a mean of 14.07 (SD 1.41) days with 2.94 levels per day. Consistent with previous findings, app use was associated with medium-large effect size reductions in both iApp (n=51) and dApp (n=46) groups. In the iApp group, all effects remained significant during the 15 days of follow-up. Analyses focusing on the first two assessment occasions revealed significant treatment × repeated measures interactions on maladaptive beliefs, several OC symptom measures, and self-esteem. Conclusions: This study provides further evidence for the efficacy of GGRO as a mobile-delivered training exercise that is useful for reducing OCD-related beliefs and symptoms. Trial Registration: ClinicalTrials.gov NCT03571464; https://clinicaltrials.gov/ct2/show/NCT03571464 (Archived by WebCite at http://www.webcitation.org/7675sYPsH)

  • Pain management apps (montage). Source: JMIR Publications / Placeit; Copyright: JMIR Publications; URL: http://mhealth.jmir.org/2019/2/e13080/; License: Creative Commons Attribution (CC-BY).

    Evaluation of Self-Management Support Functions in Apps for People With Persistent Pain: Systematic Review

    Abstract:

    Background: Smartphone apps are a potential mechanism for development of self-management skills in people with persistent pain. However, the inclusion of best-practice content items in available pain management apps fostering core self-management skills for self-management support is not known. Objective: The aim of the study was to evaluate the contents of smartphone apps providing information on pain management strategies for people with persistent pain facilitating self-management support and to appraise the app quality. Methods: A systematic search was performed in the New Zealand App Store and Google Play Store. Apps were included if they were designed for people with persistent pain, provided information on pain self-management strategies, and were available in English. App contents were evaluated using an a priori 14-item self-management support (SMS-14) checklist. App quality was assessed using the 23-item Mobile Apps Rating Scale. Results: Of the 939 apps screened, 19 apps met the inclusion criteria. Meditation and guided relaxation were the most frequently included self-management strategies. Overall, the included apps met a median of 4 (range 1-8) of the SMS-14 checklist. A total of 3 apps (Curable, PainScale-Pain Diary and Coach, and SuperBetter) met the largest number of items (8 out of 14) to foster self-management of pain. Self-monitoring of symptoms (n=11) and self-tailoring of strategies (n=9) were frequently featured functions, whereas a few apps had features facilitating social support and enabling communicating with clinicians. No apps provided information tailored to the cultural needs of the user. The app quality mean scores using Mobile Apps Rating Scale ranged from 2.7 to 4.5 (out of 5.0). Although use of 2 apps (Headspace and SuperBetter) has been shown to improve health outcomes, none of the included apps have been evaluated in people with persistent pain. Conclusions: Of the 3 apps (Curable, PainScale-Pain Diary and Coach, and SuperBetter) that met the largest number of items to support skills in self-management of pain, 2 apps (PainScale-Pain Diary and Coach and SuperBetter) were free, suggesting the potential for using apps as a scalable, wide-reaching intervention to complement face-to-face care. However, none provided culturally tailored information. Although 2 apps (Headspace and SuperBetter) were validated to show improved health outcomes, none were tested in people with persistent pain. Both users and clinicians should be aware of such limitations and make informed choices in using or recommending apps as a self-management tool. For better integration of apps in clinical practice, concerted efforts are required among app developers, clinicians, and people with persistent pain in developing apps and evaluating for clinical efficacy.

  • Exercise and mHealth. Source: Flickr; Copyright: Marco Verch; URL: http://www.flickr.com/photos/160866001@N07/44573043810; License: Creative Commons Attribution (CC-BY).

    Technology-Supported Self-Guided Nutrition and Physical Activity Interventions for Adults With Cancer: Systematic Review

    Abstract:

    Background: Nutrition and physical activity interventions are important components of cancer care. With an increasing demand for services, there is a need to consider flexible, easily accessible, and tailored models of care while maintaining optimal outcomes. Objective: This systematic review describes and appraises the efficacy of technology-supported self-guided nutrition and physical activity interventions for people with cancer. Methods: A systematic search of multiple databases from 1973 to July 2018 was conducted for randomized and nonrandomized trials investigating technology-supported self-guided nutrition and physical activity interventions. Risk of bias was assessed using the Cochrane Risk of Bias tool. Outcomes included behavioural, health-related, clinical, health service, or financial measures. Results: Sixteen randomized controlled trials representing 2684 participants were included. Most studies were web-based interventions (n=9) and had a 12-week follow-up duration (n=8). Seven studies assessed dietary behaviour, of which two reported a significant benefit on diet quality or fruit and vegetable intake. Fifteen studies measured physical activity behaviour, of which eight studies reported a significant improvement in muscle strength and moderate-to-vigorous physical activity. Four of the nine studies assessing the health-related quality of life (HRQoL) reported a significant improvement in global HRQoL or a domain subscale. A significant improvement in fatigue was found in four of six studies. Interpretation of findings was influenced by inadequate reporting of intervention description and compliance. Conclusions: This review identified short-term benefits of technology-supported self-guided interventions on the physical activity level and fatigue and some benefit on dietary behaviour and HRQoL in people with cancer. However, current literature demonstrates a lack of evidence for long-term benefit. Trial Registration: PROSPERO CRD42017080346; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=80346

  • Physical activity app (montage). Source: The Authors / Placeit; Copyright: JMIR Publications; URL: http://mhealth.jmir.org/2019/2/e11847/; License: Creative Commons Attribution (CC-BY).

    Efficacy and Effectiveness of Mobile Health Technologies for Facilitating Physical Activity in Adolescents: Scoping Review

    Abstract:

    Background: Increasing physical activity (PA) levels in adolescents aged 12 to 18 years is associated with prevention of unhealthy weight gain and improvement in cardiovascular fitness. The widespread availability of mobile health (mHealth) and wearable devices offers self-monitoring and motivational features for increasing PA levels and improving adherence to exercise programs. Objective: The aim of this scoping review was to identify the efficacy or effectiveness of mHealth intervention strategies for facilitating PA among adolescents aged 12 to 18 years. Methods: We conducted a systematic search for peer-reviewed studies published between 2008 and 2018 in the following electronic databases: PubMed, Google Scholar, PsychINFO, or SportDiscus. The search terms used included mHealth or “mobile health” or apps, “physical activity” or exercise, children or adolescents or teens or “young adults” or kids, and efficacy or effectiveness. Articles published outside of the date range (July 2008 to October 2018) and non-English articles were removed before abstract review. Three reviewers assessed all abstracts against the inclusion and exclusion criteria. Any uncertainties or differences in opinion were discussed as a group. The inclusion criteria were that the studies should (1) have an mHealth component, (2) target participants aged between 12 and 18 years, (3) have results on efficacy or effectiveness, and (4) assess PA-related outcomes. Reviews, abstracts only, protocols without results, and short message service text messaging–only interventions were excluded. We also extracted potentially relevant papers from reviews. At least 2 reviewers examined all full articles for fit with the criteria and extracted data for analysis. Data extracted from selected studies included study population, study type, components of PA intervention, and PA outcome results. Results: Overall, 126 articles were initially identified. Reviewers pulled 18 additional articles from excluded review papers. Only 18 articles were passed onto full review, and 16 were kept for analysis. The included studies differed in the sizes of the study populations (11-607 participants), locations of the study sites (7 countries), study setting, and study design. Overall, 5 mHealth intervention categories were identified: website, website+wearable, app, wearable+app, and website+wearable+app. The most common measures reported were subjective weekly PA (4/13) and objective daily moderate-to-vigorous PA (5/13) of the 19 different PA outcomes assessed. Furthermore, 5 of 13 studies with a control or comparison group showed a significant improvement in PA outcomes between the intervention group and the control or comparison group. Of those 5 studies, 3 permitted isolation of mHealth intervention components in the analysis. Conclusions: PA outcomes for adolescents improved over time through mHealth intervention use; however, the lack of consistency in chosen PA outcome measures, paucity of significant outcomes via between-group analyses, and the various study designs that prevent separating the effects of intervention components calls into question their true effect.

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

Latest Submissions Open for Peer-Review:

View All Open Peer Review Articles
  • Development and Pilot Evaluation of a Behavioral Activation mHealth App for Smokers with Depression

    Date Submitted: Feb 15, 2019

    Open Peer Review Period: Feb 19, 2019 - Apr 16, 2019

    Background: The integration of Behavioral Activation Treatment for Depression (BAT-D) into smoking cessation interventions is a promising approach to address depression as a barrier to quitting. Howev...

    Background: The integration of Behavioral Activation Treatment for Depression (BAT-D) into smoking cessation interventions is a promising approach to address depression as a barrier to quitting. However, this approach has only been tested as a face-to-face intervention, which has low reach. Objective: The aims of the study were to develop a BAT-D mHealth app with high potential reach and determine its feasibility, acceptability, and preliminary effects on theory-based behavioral processes of behavioral activation and reduced depressive symptoms as well as smoking cessation. Methods: Following a user-centered design process consisting of competitive analysis, focus groups, and prototype testing, we conducted a single-arm pilot trial of Actify!—the BAT-D app for depressed smokers. Participants used SmokefreeTXT along with Actify to provide cessation content that had not yet been built into the app for this initial phase of pilot testing. Participants in the trial (n=17) were current, daily smokers with mild to moderate depressive symptoms. We examined process and cessation outcomes at 6 weeks post-enrollment for study completers (n=16; 94% retention). Results: Regarding acceptability, average number of logins per participant was 20 (SD=16), and 63% reported being satisfied overall with the app. Post-treatment interviews identified some usability challenges—e.g., high perceived burden of planning and scheduling values-based activities. There was a significant decrease in depressive symptoms from baseline to follow-up (mean change in PHQ-9 scores= -4.5, 95% CI: -7.7, -1.3; p=.01). Additionally, CO-confirmed, 7-day point prevalence abstinence (PPA) at 6-week follow-up was 31% (5/16), and the 30-day PPA was 19% (3/16). Conclusions: Results demonstrate strong engagement with Actify! and promising impact on theory-based change processes and cessation outcomes. Preliminary quit rates for this high-risk population of smokers compare favorably to both previous trials of smoking cessation apps for the general population (i.e., short-term, self-reported 30-day quit rates in the 8-18% range) as well as a previous trial of face-to-face BAT-D for depressed smokers (i.e., CO-confirmed, 7-day PPA rate of 17% at end of treatment).

  • Opportunities and pitfalls in applying emotion recognition software for persons with a visual impairment in real life applications.

    Date Submitted: Feb 15, 2019

    Open Peer Review Period: Feb 19, 2019 - Apr 16, 2019

    Background: A large part of the communication cues exchanged between persons are nonverbal. Persons with a visual impairment (PVIs) are often unable to perceive these cues such as facial expressions o...

    Background: A large part of the communication cues exchanged between persons are nonverbal. Persons with a visual impairment (PVIs) are often unable to perceive these cues such as facial expressions of emotions. In a previous study we have determined that PVIs can increase their ability to recognize facial expressions of emotions from validated pictures and videos by using an emotion recognition system which signals vibrotactile cues associated to one of six basic emotions. Objective: In this study, we determined whether an emotion recognition system to support persons with a visual impairment (PVIs) worked as well in realistic situations as it did under controlled lab conditions. Methods: The emotion recognition system consists of a camera mounted on spectacles, a tablet running facial emotion recognition software, and a waist belt with vibrotactors to provide haptic feedback representing Ekman´s six universal emotions. Eight PVIs (four females, four males, mean age = 46.75, age range = 28-66) participated in two training sessions followed by one experimental session. During the experiment, participants engaged in two 15-minute conversations, in one of which they wore the emotion recognition system. To conclude the study, exit-interviews were conducted to assess the experiences of the participants. Due to technical issues with the registration of the emotion recognition software, only six participants were included in the video analysis. Results: We found that participants were quickly able to learn, distinguish, and remember vibrotactile signals associated with the six emotions. Four participants felt they were able to use the vibrotactile signals in the conversation. Five out of six participants had no difficulties in keeping the camera focused on the conversation partner. The emotion recognition was very accurate in detecting happiness but performed unsatisfactorily in recognizing the other five universal emotions. Conclusions: The system requires some essential improvements in performance and wearability before it is ready to support PVIs in their daily life interactions. Nevertheless, the participants saw potential in the system as an assistive technology, assuming their user requirements can be met.

  • Health Education on Mobile Devices: A Pilot Study of Human Presence and Mobile Technologies on College Students’ Sun Protection

    Date Submitted: Feb 15, 2019

    Open Peer Review Period: Feb 19, 2019 - Apr 16, 2019

    Background: Health promotion and education programs are increasingly being adapted and developed for delivery via digital technologies. With this shift toward digital health approaches, it is importan...

    Background: Health promotion and education programs are increasingly being adapted and developed for delivery via digital technologies. With this shift toward digital health approaches, it is important to identify design strategies in health education and promotion programs that enhance participant engagement and promote behavior change. Objective: The objective of the current study was to examine the impact of a pilot mHealth educational intervention regarding skin cancer and sun protection perceptions among American college students. Methods: A sample of 136 college students aged 18 years or above participated in the current study in a lab setting, which examined the individual and combinatory effects of multiple dimensions of digital technologies on a health outcome in a 2 (interactivity: high vs. low) x 2 (human presence: absence vs. presence) x 2 (screen size: big screen vs. small screen) between-subjects design. Outcomes included attitudes toward the information, various dimensions of trust (affective trust focusing on personal bonds or feelings and cognitive trust related to judgments of the reliability of information), and intentions to use sun protection. Results: Generally, the presence of human characters in the health educational message demonstrates effectiveness, producing more favorable attitudes (p < .001), greater intentions to use sun protection (p = .001), as well as higher affective trust (p = .003). Further, delivering educational health messages on a large screen (i.e., iPad) was associated with greater heuristic processing (p = .04) and higher affective trust (p < .001), whereas messages on a small screen (i.e., iPhone) was associated with greater systematic processing (p = .02) and higher cognitive trust (p = .006). Interestingly, while interactivity did not lead to more favorable attitudes towards the message, it did lead to greater intentions to use sun protection (p = .04). Conclusions: This experimental study indicates that features of digital health intervention design can influence its impact on recipients. Effects on attitudes, trust, and behavioral intentions were found for conditions with human presence, highlighting the importance of including this feature in mHealth programs. This pilot study demonstrates the acceptability and feasibility of an mHealth educational intervention manipulating human presence and mobile technologies and promoting college students’ sun protection.

  • From collection of acceleration data to digital interventions in clinical settings

    Date Submitted: Feb 14, 2019

    Open Peer Review Period: Feb 19, 2019 - Apr 16, 2019

    Present and evolving mobile and computer technologies together with wearable sensors have potential not only for promoting physical activity (PA) and reducing sedentary behavior (SB) but also facilita...

    Present and evolving mobile and computer technologies together with wearable sensors have potential not only for promoting physical activity (PA) and reducing sedentary behavior (SB) but also facilitating self-management of various diseases. Purpose of this narrative review was to evaluate clinical efficacy of digital interventions on various health outcomes on the basis of meta-analyses and reviews published on the topic. In addition, essential contents of digital interventions and accompanying PA and SB measurements were also discussed. In total, meta-analytic summary data from tens of thousands of patients representing all major non-communicable diseases were available. While the clinical utility of digital interventions is apparent, the quality of evidence was often low, treatment effects were small to moderate in general often not reaching statistical significance compared to the comparator treatment that is typically usual care. Apparently, several factors underlie these relatively poor outcomes, but the lack of considering personal factors and preferences when designing the contents of digital intervention may be the key issue. Future digital intervention trials should be adequately-powered, employ rigorous methods to assess long-term PA and SB 24/7, and utilize arguable personalized behaviour change techniques which are embedded in feasible mobile and sensor technology solutions.

  • Feasibility and acceptability of using wearable physiological monitors with suicidal adolescent inpatients

    Date Submitted: Feb 15, 2019

    Open Peer Review Period: Feb 19, 2019 - Apr 16, 2019

    Background: Wearable physiological monitoring devices enable the continuous measurement of human behavior and psychophysiology in the real world. Although such devices are promising, their availabilit...

    Background: Wearable physiological monitoring devices enable the continuous measurement of human behavior and psychophysiology in the real world. Although such devices are promising, their availability does not guarantee that participants will continuously wear and interact with them, especially during times of psychological distress. Wearable physiological monitoring devices enable the continuous measurement of human behavior and psychophysiology in the real world. Although such devices are promising, their availability does not guarantee that participants will continuously wear and interact with them, especially during times of psychological distress. Objective: The goal of this study was to evaluate the feasibility and acceptability of using a wearable behavioral and physiological monitor, the Empatica E4, to continuously assess a group of suicidal adolescent inpatients. Methods: Participants (n = 50 adolescent inpatients) were asked to wear an Empatica E4 on their wrist for the duration of their inpatient stay. In addition to assessing behavioral meta-data (e.g., hours worn per day) we also used qualitative interviews and self-report measures to assess participants’ experience of wearing the device. Results: Results supported the feasibility and acceptability of this approach. Participants wore the device for average for 18 hours a day and reported that despite sometimes finding the device uncomfortable, they did not mind wearing it. Many of the participants noted that the part of the study they enjoyed most was contributing to scientific understanding, especially if it could help people like them in the future. Conclusions: These findings provide promising support for using wearable monitors in clinical samples in future studies, especially if participants are invested in being part of a research study.

  • End-User Informed mHealth Intervention Development for Adolescent Cannabis Use Disorder: A Qualitative Study

    Date Submitted: Feb 13, 2019

    Open Peer Review Period: Feb 19, 2019 - Apr 16, 2019

    Background: Rates of cannabis use continue to increase among adolescents, however current interventions have modest effects and high rates of relapse following treatment. There is increasing evidence...

    Background: Rates of cannabis use continue to increase among adolescents, however current interventions have modest effects and high rates of relapse following treatment. There is increasing evidence for the efficacy of mobile technology-based interventions for adults with substance use disorders, but limited study of this technology in adolescents who abuse substances. Objective: Our goal is to elucidate elements of an app-based adjunctive intervention for cannabis cessation that resonate with adolescents who use cannabis. Methods: Adolescents aged 14-17 years who used cannabis were recruited from San Diego County high schools. Semi-structured focus groups (6 total; n=37) were conducted to examine the ways in which participants used smartphones, including use of any health behavior change apps, as well as to elicit opinions about elements that would promote engagement with an app-based intervention for adolescent cannabis cessation. An iterative coding structure was used with first cycle structural coding followed by pattern coding. Results: Themes that emerged from the analysis included: (1) youth valued rewards to incentivize the progressive reduction of cannabis use which included both non-tangible rewards that mimic those obtained on social media platforms and pro-social activity-related rewards, (2) having the ability to self-monitor progression, (3) peer social support, (4) privacy and confidentiality discrete logo and name, and usernames within the app, and (5) individualizing frequency and content of notifications and reminders. Conclusions: Integrating content, language, interfaces, delivery systems and rewards with which adolescents who use cannabis are familiar, engage with on a day-to-day basis, and identify as relevant, may increase treatment engagement and retention. We may increase treatment effectiveness by adapting and individualizing current evidence-based interventions so that they target the needs of adolescents, and are more easily incorporated into their everyday routines.

Advertisement