%0 Journal Article %@ 1929-0748 %I JMIR Publications %V 7 %N 12 %P e10215 %T Establishing Digital Biomarkers for Occupational Health Assessment in Commercial Salmon Fishermen: Protocol for a Mixed-Methods Study %A Wilbur,Rachel Elizabeth %A Griffin,Jacob Spencer %A Sorensen,Mark %A Furberg,Robert Daniel %+ RTI International, 3040 Cornwallis Rd, RTP, NC,, United States, 1 919 316 3726, rfurberg@rti.org %K digital health %K digital biomarkers %K occupational health %K health and safety %K fishermen %K physiological health %K stress %D 2018 %7 10.12.2018 %9 Protocol %J JMIR Res Protoc %G English %X Background: Commercial salmon fishing in Alaska is one of the most dangerous occupations in the United States. Between 1992 and 2008, the average annual industry mortality rate was 128 deaths per 100,000 workers, and despite an increase in industry regulations, there has not been a significant decrease in mortality rate since 2000. Unpredictable fishing openings and fierce competition for limited resources result in periods of intense sleep deprivation and physical strain during the short commercial salmon season in Alaska. Objective: We hypothesize that the combined effect of sleep deprivation, intense physical workload, and significant short-term chronic stress may be deleterious to health in both the short- and long-term among commercial salmon drift gillnet fishermen in Alaska. The objective of this protocol is to determine the feasibility of the study design to test this hypothesis. Methods: The study design uses mixed methods and includes biometric monitoring consisting of heart rate variability, respiration, and movement data collected via a personal, wearable biometric device. Additional methods include observational data on activity, including duration and quality of sleep, weather, catch, and financial gain, as well as the collection of salivary cortisol. As such, the study will provide a holistic assessment of individual stress on multiple simultaneous timescales: immediately and continuously through the personal wearable biometric device, on the minute-hour level through the multiple daily collections of salivary cortisol, and by the hour-day through the use of participant and environment observational data. Results: Data collection was initiated in July 2017 and will extend through August 2019. Initial data collection has indicated that the methods outlined in this protocol are feasible and allow for effective collection of qualitative and quantitative data related to the psychological and physiological impact of Alaska commercial salmon fishing. Conclusions: We anticipate that the use of a biometric device will be crucial in establishing measures of stress and physical activity within a population and environment uniquely challenged by physical isolation, strong weather patterns, and the potential for significant financial gain by fishermen. The potential exists for individuals engaged long-term in the fishing industry, through repeated and extended exposure to periods of intense sleep deprivation and chronic stress, to be at increased risk of cardiovascular disease. International Registered Report Identifier (IRRID): DERR1-10.2196/10215 %M 30530453 %R 10.2196/10215 %U http://www.researchprotocols.org/2018/12/e10215/ %U https://doi.org/10.2196/10215 %U http://www.ncbi.nlm.nih.gov/pubmed/30530453 %0 Journal Article %@ 2291-5222 %I JMIR Publications %V 6 %N 12 %P e11661 %T Preliminary Effectiveness of a Smartphone App to Reduce Depressive Symptoms in the Workplace: Feasibility and Acceptability Study %A Deady,Mark %A Johnston,David %A Milne,David %A Glozier,Nick %A Peters,Dorian %A Calvo,Rafael %A Harvey,Samuel %+ Black Dog Institute, Faculty of Medicine, University of New South Wales, Hospital Road, Randwick, Sydney,, Australia, 61 293824517, m.deady@unsw.edu.au %K depression %K workplace %K mHealth %K smartphone %K eHealth %K pilot %D 2018 %7 04.12.2018 %9 Original Paper %J JMIR Mhealth Uhealth %G English %X Background: The workplace represents a unique setting for mental health interventions. Due to range of job-related factors, employees in male-dominated industries are at an elevated risk. However, these at-risk groups are often overlooked. HeadGear is a smartphone app–based intervention designed to reduce depressive symptoms and increase well-being in these populations. Objective: This paper presents the development and pilot testing of the app’s usability, acceptability, feasibility, and preliminary effectiveness. Methods: The development process took place from January 2016 to August 2017. Participants for prototype testing (n=21; stage 1) were recruited from industry partner organizations to assess acceptability and utility. A 5-week effectiveness and feasibility pilot study (n=84; stage 2) was then undertaken, utilizing social media recruitment. Demographic data, acceptability and utility questionnaires, depression (Patient Health Questionnaire-9), and other mental health measures were collected. Results: The majority of respondents felt HeadGear was easy to use (92%), easily understood (92%), were satisfied with the app (67%), and would recommend it to a friend (75%; stage 1). Stage 2 found that compared with baseline, depression and anxiety symptoms were significantly lower at follow-up (t30=2.53; P=.02 and t30=2.18; P=.04, respectively), days of sick leave in past month (t28=2.38; P=.02), and higher self-reported job performance (t28=−2.09; P=.046; stage 2). Over 90% of respondents claimed it helped improve their mental fitness, and user feedback was again positive. Attrition was high across the stages. Conclusions: Overall, HeadGear was well received, and preliminary findings indicate it may provide an innovative new platform for improving mental health outcomes. Unfortunately, attrition was a significant issue, and findings should be interpreted with caution. The next stage of evaluation will be a randomized controlled trial. If found to be efficacious, the app has the potential to reduce disease burden and improve health in this at-risk group. %M 30514694 %R 10.2196/11661 %U https://mhealth.jmir.org/2018/12/e11661/ %U https://doi.org/10.2196/11661 %U http://www.ncbi.nlm.nih.gov/pubmed/30514694 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 20 %N 11 %P e286 %T Using Facebook for Health Promotion in “Hard-to-Reach” Truck Drivers: Qualitative Analysis %A Sendall,Marguerite C %A McCosker,Laura K %A Crane,Phil %A Rowland,Bevan %A Fleming,Marylou %A Biggs,Herbert C %+ School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Victoria Park Road, Kelvin Grove, Brisbane, 4059, Australia, 61 +617 3138 3526, m.sendall@qut.edu.au %K communication %K health promotion interventions %K mobile phone %K social media %K transport industry %K truck drivers %K workplace health promotion %K workplace managers %D 2018 %7 01.11.2018 %9 Original Paper %J J Med Internet Res %G English %X Background: Workers in the road transport industry, and particularly truck drivers, are at increased risk of chronic diseases. Innovative health promotion strategies involving technologies such as social media may engage this “hard-to-reach” group. There is a paucity of evidence for the efficacy of social media technologies for health promotion in the Australian transport industry. Objective: This study analyzed qualitative data from interviews and focus group discussions to evaluate a social media health promotion intervention, the Truckin’ Healthy Facebook webpage, in selected Australian transport industry workplaces. Methods: We engaged 5 workplace managers and 30 truck drivers from 6 transport industry organizations in developing workplace health promotion strategies, including a social media intervention, within a Participatory Action Research approach. Mixed methods, including a pre- and postintervention manager survey, truck driver survey, key informant semistructured interviews, truck driver focus groups, and focused observation, were used to evaluate the social media intervention. We asked questions about workplace managers’ and truck drivers’ opinions, engagement, and satisfaction with the intervention. This paper focuses on qualitative data. Results: Of the workplace managers who reported implementing the social media intervention at their workplace, all (3/3, 100%) reported satisfaction with the intervention and expressed a keen interest in learning more about social media and how it may be used for workplace health promotion and other purposes. Truck drivers were poorly engaged with the intervention because (1) many believed they were the “wrong age” and lacked the necessary skills; (2) the cost of smartphone technology was prohibitive; (3) they confined their use of social media to nonwork-related purposes; and (4) many workplaces had “no Facebook” policies. Conclusions: The use of social media as a health promotion intervention in transport industry workplaces has potential. Workplace interventions using social media can benefit from a Participatory Action Research approach. Involving managers and workers in the design of social media health promotion interventions and developing strategies to support and deliver the interventions helps to facilitate their success. The workers’ profile, including their age and familiarity with social media, and work, workplace, and family context is important to consider in this process. Much more research needs to be undertaken to better understand the effective use of social media to engage “hard-to-reach” groups. %M 30389653 %R 10.2196/jmir.9689 %U https://www.jmir.org/2018/11/e286/ %U https://doi.org/10.2196/jmir.9689 %U http://www.ncbi.nlm.nih.gov/pubmed/30389653 %0 Journal Article %@ 2368-7959 %I JMIR Publications %V 5 %N 4 %P e11383 %T The WorkingWell Mobile Phone App for Individuals With Serious Mental Illnesses: Proof-of-Concept, Mixed-Methods Feasibility Study %A Nicholson,Joanne %A Wright,Spenser M %A Carlisle,Alyssa M %A Sweeney,Mary Ann %A McHugo,Gregory J %+ Institute for Behavioral Health, The Heller School for Social Policy and Management, Brandeis University, 415 South Street, MS 035, Waltham, MA, 20453, United States, 1 781 736 3978, jnicholson@brandeis.edu %K mHealth %K mobile apps %K mental disorders %K employment %D 2018 %7 25.10.2018 %9 Original Paper %J JMIR Ment Health %G English %X Background: The disparities in employment for individuals with serious mental illnesses have been well documented, as have the benefits of work. Mobile technology can provide accessible in-the-moment support for these individuals. The WorkingWell mobile app was developed to meet the need for accessible follow-along supports for individuals with serious mental illnesses in the workplace. Objective: We explore the usability, usage, usefulness, and overall feasibility of the WorkingWell mobile app with individuals with serious mental illnesses who are actively employed and receiving community-based services. Methods: In this proof-of-concept, mixed-methods, 2-month feasibility study (N=40), employed individuals with serious mental illnesses were recruited in mental health agencies. Participants completed surveys regarding background characteristics and cellphone use at enrollment and responded to interview items regarding app usability, usage, and usefulness in technical assistance calls at 1, 2, 4, and 6 weeks of participation and in the exit interview at 8 weeks. Data on the frequency of app usage were downloaded on a daily basis. A version of the System Usability Scale (SUS) was administered in the exit interview. Overall feasibility was determined by the percent of users completing the study, responses to an interview item regarding continued use, and findings on usability, usage, and usefulness. General impressions were obtained from users regarding user support materials, technical assistance, and study procedures. Results: Most participants were male (60%, 24/40), aged 55 or younger (70%, 28/40), white (80%, 32/40), had less than a 4-year college education (78%, 31/40), were employed part-time (98%, 39/40), had been working more than 6 months (60%, 24/40), and indicated a diagnosis of bipolar, schizoaffective, or depressive disorder (84%, 16/25). The majority of participants owned cellphones (95%, 38/40) and used them multiple times per day (83%, 33/40). Their average rating on SUS usability items was 3.93 (SD 0.77, range 1.57-5.00), reflecting positive responses. In general, participants indicated WorkingWell was “very easy,” “straightforward,” “simple,” and “user friendly.” Usability challenges were related to personal issues (eg, memory) or to difficulties with the phone or app. Data on app usage varied considerably. The most frequent navigations were to the home screen, followed by Rate My Day and My Progress, and then by Manage the Moment and Remind Me. The app was described as useful by most participants; 86% (30/35) agreed the app would help them manage better on the job. Of the 40 original participants, 35 (87%) completed the study. Conclusions: The WorkingWell app is a feasible approach to providing accessible, as-needed employment support for individuals with serious mental illnesses. The app would benefit from modifications to address recommendations from feasibility testing. Controlled research with larger samples, more diverse in individual characteristics and workplace settings, is essential to demonstrating the effectiveness of the app. %M 30361199 %R 10.2196/11383 %U http://mental.jmir.org/2018/4/e11383/ %U https://doi.org/10.2196/11383 %U http://www.ncbi.nlm.nih.gov/pubmed/30361199 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 20 %N 10 %P e10821 %T Effect of an eHealth Intervention to Reduce Sickness Absence Frequency Among Employees With Frequent Sickness Absence: Randomized Controlled Trial %A Notenbomer,Annette %A Roelen,Corné %A Groothoff,Johan %A van Rhenen,Willem %A Bültmann,Ute %+ Division Community and Occupational Medicine, Department of Health Sciences, University Medical Center Groningen, University of Groningen, Gebouw 3217 FA10, kamer 609, Antonius van Deusinglaan 1, Groningen, 9713 AV, Netherlands, 31 6 22417514, annette.notenbomer@gmail.com %K occupational health %K sick leave %K randomized controlled trial %K adult %K occupational health physicians %K eHealth %D 2018 %7 23.10.2018 %9 Original Paper %J J Med Internet Res %G English %X Background: Frequent sickness absence—that is, 3 or more episodes of sickness absence in 1 year—is a problem for employers and employees. Many employees who have had frequent sickness absence in a prior year also have frequent sickness absence in subsequent years: 39% in the first follow-up year and 61% within 4 years. Moreover, 19% have long-term sickness absence (≥6 weeks) in the first follow-up year and 50% within 4 years. We developed an electronic health (eHealth) intervention, consisting of fully automated feedback and advice, to use either as a stand-alone tool (eHealth intervention–only) or combined with consultation with an occupational physician (eHealth intervention–occupational physician). Objective: This study aimed to evaluate the effect of the eHealth intervention, with or without additional occupational physician consultation, to reduce sickness absence frequency for employees with frequent sickness absence, versus care as usual (CAU). Methods: This study was a three-armed randomized controlled trial. Employees with frequent sickness absence received invitational letters, which were distributed by their employers. The primary outcome measure was the number of register-based sickness absence episodes 12 months after completing the baseline questionnaire. Secondary outcome measures were register-based total sickness absence days and self-assessed burnout, engagement, and work ability. In a process evaluation 3 months after baseline, we examined adherence to the intervention and additional actions such as general practitioner and occupational physician visit, communication with the manager, and lifestyle change. Results: A total of 82 participants were included in the analyses, 21 in the eHealth intervention–only group, 31 in the eHealth intervention–occupational physician group, and 30 in the CAU group. We found no significant difference in sickness absence frequency between the groups at 1-year follow-up. Sickness absence frequency decreased in the eHealth intervention–only group from 3 (interquartile range, IQR 3-4) to 1 episode (IQR 0.3-2.8), in the eHealth intervention–occupational physician group from 4 (IQR 3-5) to 3 episodes (IQR 1-4), and in the CAU group from 3 (IQR 3-4) to 2 episodes (IQR 1-3). For secondary outcomes, we found no significant differences between the intervention groups and the control group. The process evaluation showed that only 3 participants from the eHealth intervention–occupational physician group visited the occupational physician on invitation. Conclusions: Among employees with frequent sickness absence, we found no effect from the eHealth intervention as a stand-alone tool in reducing sickness absence frequency, nor on total sickness absence days, burnout, engagement, or work ability. This might be due to low adherence to the intervention because of insufficient urgency to act. We cannot draw any conclusion on the effect of the eHealth intervention tool combined with an occupational physician consultation (eHealth intervention–occupational physician), due to very low adherence to the occupational physician consultation. An occupational physician consultation could increase a sense of urgency and lead to more focus and appropriate support. As this was the first effectiveness study among employees with frequent sickness absence, strategies to improve recruitment and adherence in occupational eHealth are included. Trial Registration: Netherlands Trial Register NTR4316; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=4316 (Archived by WebCite at http://www.webcitation.org/713DHhOFU). %M 30355551 %R 10.2196/10821 %U http://www.jmir.org/2018/10/e10821/ %U https://doi.org/10.2196/10821 %U http://www.ncbi.nlm.nih.gov/pubmed/30355551 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 20 %N 10 %P e10760 %T A Mobile Videoconference-Based Intervention on Stress Reduction and Resilience Enhancement in Employees: Randomized Controlled Trial %A Kim,Johanna Inyang %A Yun,Je-Yeon %A Park,Heyeon %A Park,Suk-Young %A Ahn,Youngsheen %A Lee,Hansol %A Kim,Tae-Kwon %A Yoon,Sooran %A Lee,Young-Joon %A Oh,Sohee %A Denninger,John W %A Kim,Bung-Nyun %A Kim,Jeong-Hyun %+ Seoul National University Bundang Hospital, 82, Gumi-ro 173 beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do 13620, Seongnam,, Republic Of Korea, 82 31 787 2025, retrial3@hanmail.net %K employees %K mobile phone %K randomized controlled trial %K resilience enhancement %K stress reduction %K videoconferencing %D 2018 %7 22.10.2018 %9 Original Paper %J J Med Internet Res %G English %X Background: Videoconferencing-based treatments have shown great potential in increasing engagement and compliance by decreasing the barriers of time and distance. In general, employees tend to experience a lot of stress, but find it difficult to visit a clinic during office hours. Objective: The purpose of this study was to investigate the effectiveness of a mobile videoconference-based intervention for stress reduction and resilience enhancement in employees. Methods: In total, 81 participants were randomly allocated to one of the three conditions: mobile videoconferencing, in-person, and self-care; of these, 72 completed the study. All participants underwent assessment via self-reported questionnaires before, immediately after, and 1 month after the intervention. Intervention lasted for 4 weeks and consisted of elements of cognitive behavioral therapy, positive psychology, and meditation. Changes in clinical variables regarding stress and resilience across time were compared between treatment conditions. Results: There were significant condition × time effects on variables measuring perceived stress, resilience, emotional labor, and sleep, demonstrating significantly differential effects across time according to treatment condition. Moreover, there were significant effects of condition on perceived stress and occupational stress. There were no significant differences in any variable between the mobile videoconferencing and in-person conditions at 1 month after the intervention. Conclusions: Results indicate that both mobile videoconferencing and in-person interventions were comparably effective in decreasing stress and enhancing resilience. Further studies with a larger sample size and a longer follow-up period are warranted to investigate the long-term effect of mobile videoconferencing interventions. Trial Registration: ClinicalTrials.gov identifier NCT03256682; https://clinicaltrials.gov/ct2/show/NCT03256682 (Archived by WebCite at http://www.webcitation.org/71W77bwnR) %M 30348630 %R 10.2196/10760 %U http://www.jmir.org/2018/10/e10760/ %U https://doi.org/10.2196/10760 %U http://www.ncbi.nlm.nih.gov/pubmed/30348630 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 20 %N 10 %P e267 %T Promoting Psychological Well-Being at Work by Reducing Stress and Improving Sleep: Mixed-Methods Analysis %A Meyer,Denny %A Jayawardana,Madawa W %A Muir,Samuel D %A Ho,David Yen-Teh %A Sackett,Olivia %+ Department of Statistics, Data Science and Epidemiology, Swinburne University of Technology, John Street, Hawthorn, Melbourne, VIC 3122, Australia, 61 392144824, dmeyer@swin.edu.au %K exercise %K productivity %K healthy lifestyle %D 2018 %7 19.10.2018 %9 Original Paper %J J Med Internet Res %G English %X Background: Workplace programs designed to improve the health and psychological well-being of employees are becoming increasingly popular. However, there are mixed reports regarding the effectiveness of such programs and little analysis of what helps people to engage with such programs. Objective: This evaluation of a particularly broad, team-based, digital health and well-being program uses mixed methods to identify the elements of the program that reduce work stress and promote psychological well-being, sleep quality, and productivity of employees. Methods: Participation in the Virgin Pulse Global Challenge program during May to September 2016 was studied. Self-reported stress, sleep quality, productivity, and psychological well-being data were collected both pre- and postprogram. Participant experience data were collected through a third final survey. However, the response rates for the last 2 surveys were only 48% and 10%, respectively. A random forest was used to estimate the probability of the completion of the last 2 surveys based on the preprogram assessment data and the demographic data for the entire sample (N=178,350). The inverse of these estimated probabilities were used as weights in hierarchical linear models in an attempt to address any estimation bias caused by the low response rates. These linear models described changes in psychological well-being, stress, sleep, and productivity over the duration of the program in relation to gender and age, engagement with each of the modules, each of the program features, and participant descriptions of the Virgin Pulse Global Challenge. A 0.1% significance level was used due to the large sample size for the final survey (N=18,653). Results: The final analysis suggested that the program is more beneficial for older people, with 2.9% greater psychological well-being improvements observed on average in the case of women than men (P<.001). With one exception, all the program modules contributed significantly to the outcome measures with the following average improvements observed: psychological well-being, 4.1%-6.0%; quality of sleep, 3.2%-6.9%; work-related stress, 1.7%-6.8%; and productivity, 1.9%-4.2%. However, only 4 of the program features were found to have significant associations with the outcome measures with the following average improvements observed: psychological well-being, 3.7%-5.6%; quality of sleep, 3.4%-6.5%; work-related stress, 4.1%-6.4%; and productivity, 1.6%-3.2%. Finally, descriptions of the Virgin Pulse Global Challenge produced 5 text topics that were related to the outcome measures. Healthy lifestyle descriptions showed a positive association with outcomes, whereas physical activity and step count tracking descriptions showed a negative association with outcomes. Conclusions: The complementary use of qualitative and quantitative survey data in a mixed-methods analysis provided rich information that will inform the development of this and other programs designed to improve employee health. However, the low response rates and the lack of a control group are limitations, despite the attempts to address these problems in the analysis. %M 30341045 %R 10.2196/jmir.9058 %U https://www.jmir.org/2018/10/e267/ %U https://doi.org/10.2196/jmir.9058 %U http://www.ncbi.nlm.nih.gov/pubmed/30341045 %0 Journal Article %@ 2291-5222 %I JMIR Publications %V 6 %N 10 %P e167 %T Behavior Change Techniques in mHealth Apps for the Mental and Physical Health of Employees: Systematic Assessment %A de Korte,Elsbeth %A Wiezer,Noortje %A Bakhuys Roozeboom,Maartje %A Vink,Peter %A Kraaij,Wessel %+ Netherlands Organization for Applied Scientific Research, Schipholweg 77-89, Leiden, 2316 ZL, Netherlands, 31 6 21134434, elsbeth.dekorte@tno.nl %K behavior change techniques %K mHealth %K mental health %K physical health %K lifestyle %K workplace %K app %K employee %K work %D 2018 %7 03.10.2018 %9 Original Paper %J JMIR Mhealth Uhealth %G English %X Background: Employees remain at risk of developing physical and mental health problems. To improve the lifestyle, health, and productivity many workplace interventions have been developed. However, not all of these interventions are effective. Mobile and wireless technology to support health behavior change (mobile health [mHealth] apps) is a promising, but relatively new domain for the occupational setting. Research on mHealth apps for the mental and physical health of employees is scarce. Interventions are more likely to be useful if they are rooted in health behavior change theory. Evaluating the presence of specific combinations of behavior change techniques (BCTs) in mHealth apps might be used as an indicator of potential quality and effectiveness. Objective: The aim of this study was to assess whether mHealth apps for the mental and physical health of employees incorporate BCTs and, if so, which BCTs can be identified and which combinations of BCTs are present. Methods: An assessment was made of apps aiming to reduce the risk of physical and psychosocial work demands and to promote a healthy lifestyle for employees. A systematic search was performed in iTunes and Google Play. Forty-five apps were screened and downloaded. BCTs were identified using a taxonomy applied in similar reviews. The mean and ranges were calculated. Results: On average, the apps included 7 of the 26 BCTs (range 2-18). Techniques such as “provide feedback on performance,” “provide information about behavior-health link,” and “provide instruction” were used most frequently. Techniques that were used least were “relapse prevention,” “prompt self-talk,” “use follow-up prompts,” and “provide information about others’ approval.” “Stress management,” “prompt identification as a role model,” and “agree on behavioral contract” were not used by any of the apps. The combination “provide information about behavior-health link” with “prompt intention formation” was found in 7/45 (16%) apps. The combination “provide information about behavior-health link” with “provide information on consequences,” and “use follow-up prompts” was found in 2 (4%) apps. These combinations indicated potential effectiveness. The least potentially effective combination “provide feedback on performance” without “provide instruction” was found in 13 (29%) apps. Conclusions: Apps for the occupational setting might be substantially improved to increase potential since results showed a limited presence of BCTs in general, limited use of potentially successful combinations of BCTs in apps, and use of potentially unsuccessful combinations of BCTs. Increasing knowledge on the effectiveness of BCTs in apps might be used to develop guidelines for app developers and selection criteria for companies and individuals. Also, this might contribute to decreasing the burden of work-related diseases. To achieve this, app developers, health behavior change professionals, experts on physical and mental health, and end-users should collaborate when developing apps for the working context. %R 10.2196/mhealth.6363 %U https://mhealth.jmir.org/2018/10/e167/ %U https://doi.org/10.2196/mhealth.6363 %0 Journal Article %@ 2561-326X %I JMIR Publications %V 2 %N 2 %P e17 %T Assessing the Feasibility and Pre-Post Impact Evaluation of the Beta (Test) Version of the BeUpstanding Champion Toolkit in Reducing Workplace Sitting: Pilot Study %A Healy,Genevieve Nissa %A Eakin,Elizabeth G %A Winkler,Elisabeth AH %A Hadgraft,Nyssa %A Dunstan,David W %A Gilson,Nicholas D %A Goode,Ana D %+ School of Public Health, The University of Queensland, 266 Herston Road, Herston, Brisbane, 4006, Australia, 61 733655528, g.healy@uq.edu.au %K BeUpstanding Champion Toolkit %K implementation %K physical activity %K sedentary %K workplace sitting %D 2018 %7 28.08.2018 %9 Original Paper %J JMIR Formativ Res %G English %X Background: The Web-based, evidence-informed BeUpstanding Champion Toolkit was developed to provide employers (via a “train-the-champion approach”) with resources and support to help in reducing prolonged sitting in their own desk-based workplace. As part of a five-phase research-to-dissemination process, this study reports on the evaluation of the beta (test) version of this toolkit (Phase 2). Objective: The objective of our study was to evaluate (1) the implementation of the toolkit by workplace champions and (2) the impact of the toolkit on sitting (primary outcome), standing, and moving; use of activity-promoting strategies; knowledge and attitudes; and indicators of health and work performance. Methods: An implementation study using a pre-post design was conducted in 7 desk-based workplaces in Australia (September 2015 to May 2016), with work teams (one per workplace) purposively recruited to ensure representation across a range of sectors (white- or blue-collar), organizational sizes (small or medium or large), and locations (metropolitan or regional). All staff within participating teams were invited to participate in the relevant toolkit activities. Implementation outcomes (time commitment required by champions and toolkit activities completed) were collected from each champion via telephone interviews. Changes in impact outcomes, measured via a Web-based questionnaire completed by employees at baseline and 3 months postimplementation, were assessed using mixed models, correcting for clustering. Results: Champions reported a 30-60 minutes per week time commitment to the toolkit activities. All teams formed a wellbeing committee and sent the staff surveys at both time points; most champions held a staff consultation workshop (6/7), identified team-level strategies within that workshop (5/7), used the communication resources provided within the toolkit (emails, posters; 6/7), and completed the action plan (5/7). In total, 52% (315 of ≈600) employees participated in at least one survey and 97 (16%) participated in both. At follow-up, there was a significant (P<.05) reduction in self-reported workplace sitting time compared to baseline (−6.3%, 95% CI −10.1 to −2.5; n=85) equating to ≈30 minutes per workday. Significant benefits were also observed for the use of activity-promoting strategies, with small, nonsignificant changes observed for knowledge and attitudes and indicators of health and work performance. Conclusions: The beta version of the BeUpstanding Champion Toolkit was feasible to implement and effective in reducing self-reported workplace sitting across a broad range of desk-based workplaces. The next phase (Phase 3) will build on these findings to optimize the toolkit for wider-scale implementation and longer term evaluation. %R 10.2196/formative.9343 %U http://formative.jmir.org/2018/2/e17/ %U https://doi.org/10.2196/formative.9343 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 20 %N 8 %P e10231 %T Differences in the Effect of Internet-Based Cognitive Behavioral Therapy for Improving Nonclinical Depressive Symptoms Among Workers by Time Preference: Randomized Controlled Trial %A Imamura,Kotaro %A Furukawa,Toshi A %A Matsuyama,Yutaka %A Shimazu,Akihito %A Kuribayashi,Kazuto %A Kasai,Kiyoto %A Kawakami,Norito %+ Department of Mental Health, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan, 81 3 5841 3522, nkawakami@m.u-tokyo.ac.jp %K internet-based computerized cognitive behavioral therapy %K time preference %K nonclinical depressive symptoms %K workers %D 2018 %7 10.08.2018 %9 Original Paper %J J Med Internet Res %G English %X Background: Previous randomized controlled trials (RCTs) have shown a significant intervention effect of internet-based computerized cognitive behavioral therapy (iCBT) on improving nonclinical depressive symptoms among healthy workers and community residents in a primary prevention setting. Time preference is one’s relative valuation for having a reward (eg, money) at present than at a later date. Time preference may affect the effectiveness of cognitive behavioral therapy. Objective: This RCT aimed to test the difference of intervention effect of an iCBT program on improving nonclinical depressive symptoms between two subgroups classified post-hoc on the basis of time preference among workers in Japan. Methods: All workers in one corporate group (approximate n=20,000) were recruited. Participants who fulfilled the inclusion criteria were randomly allocated to either intervention or control groups. Participants in the intervention group completed 6 weekly lessons and homework assignments within the iCBT program. The Beck Depression Inventory-II (BDI-II) and Kessler’s Psychological Distress Scale (K6) measures were obtained at baseline and 3-, 6-, and 12-month follow-ups. Two subgroups were defined by the median of time preference score at baseline. Results: Only few (835/20,000, 4.2%) workers completed the baseline survey. Of the 835 participants, 706 who fulfilled the inclusion criteria were randomly allocated to the intervention or control group. Participants who selected irrational time preference options were excluded (21 and 18 participants in the intervention and control groups, respectively). A three-way interaction (group [intervention/control] × time [baseline/follow-up] × time preference [higher/lower]) effect of iCBT was significant for BDI-II (t1147.42=2.33, P=.02) and K6 (t1254.04=2.51, P=.01) at the 3-month follow-up, with a greater effect of the iCBT in the group with higher time preference. No significant three-way interaction was found at the 6- and 12-month follow-ups. Conclusions: The effects of the iCBT were greater for the group with higher time preference at the shorter follow-up, but it was leveled off later. Workers with higher time preference may change their cognition or behavior more quickly, but these changes may not persist. Trial Registration: UMIN Clinical Trials Registry UMIN000014146; https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi? recptno=R000016466 (Archived by WebCite at http://www.webcitation.org/70o2rNk2V) %M 30097419 %R 10.2196/10231 %U http://www.jmir.org/2018/8/e10231/ %U https://doi.org/10.2196/10231 %U http://www.ncbi.nlm.nih.gov/pubmed/30097419 %0 Journal Article %@ 2368-7959 %I JMIR Publications %V 5 %N 2 %P e35 %T Team Resilience Training in the Workplace: E-Learning Adaptation, Measurement Model, and Two Pilot Studies %A Bennett,Joel B %A Neeper,Michael %A Linde,Brittany D %A Lucas,Gale M %A Simone,Lindsay %+ Organizational Wellness & Learning Systems, 3200 Riverfront Drive (Suite 102), Fort Worth, TX,, United States, 1 817 921 4260, owls@organizationalwellness.com %K workplace %K resilience %K stress %K quasi-experimental %K experimental design %K online learning %K early intervention %K questionnaire design %K incentives %K social support %K psychological theory %K gender %D 2018 %7 02.05.2018 %9 Original Paper %J JMIR Ment Health %G English %X Background: The majority of resilience interventions focus on the individual. Workplace resilience is a growing field of research. Given the ever-increasing interconnectedness in businesses, teamwork is a guarantee. There is also growing recognition that resilience functions at the team level. Objective: The objective of our work was to address three shortcomings in the study of workplace resilience interventions: lack of interventions focusing on group-level or team resilience, the need for brief interventions, and the need for more theoretical precision in intervention studies. Methods: The authors took an established evidence-based program (Team Resilience) and modified it based on these needs. A working model for brief intervention evaluation distinguishes outcomes that are proximal (perceptions that the program improved resilience) and distal (dispositional resilience). A total of 7 hypotheses tested the model and program efficacy. Results: Two samples (n=118 and n=181) of engineering firms received the Web-based training and provided immediate reactions in a posttest-only design. The second sample also included a control condition (n=201). The findings support the model and program efficacy. For example, workplace resilience was greater in the intervention group than in the control group. Other findings suggest social dissemination effects, equal outcomes for employees at different stress levels, and greater benefit for females. Conclusions: This preliminary research provides evidence for the capabilities of e-learning modules to effectively promote workplace resilience and a working model of team resilience. %M 29720362 %R 10.2196/mental.8955 %U http://mental.jmir.org/2018/2/e35/ %U https://doi.org/10.2196/mental.8955 %U http://www.ncbi.nlm.nih.gov/pubmed/29720362 %0 Journal Article %@ 2368-7959 %I JMIR Publications %V 5 %N 2 %P e30 %T Worker Preferences for a Mental Health App Within Male-Dominated Industries: Participatory Study %A Peters,Dorian %A Deady,Mark %A Glozier,Nick %A Harvey,Samuel %A Calvo,Rafael A %+ Wellbeing Technology Lab, Faculty of Engineering and IT, University of Sydney, Bldg J03, Electrical Engineering, Sydney, 2006, Australia, 61 0289015604, dorian.peters@sydney.edu.au %K mental health %K mhealth %K mobile apps %K workplace %K men %K participatory design %D 2018 %7 25.04.2018 %9 Original Paper %J JMIR Ment Health %G English %X Background: Men are less likely to seek help for mental health problems, possibly because of stigma imposed by cultural masculine norms. These tendencies may be amplified within male-dominated workplaces such as the emergency services or transport industries. Mobile apps present a promising way to provide access to mental health support. However, little is known about the kinds of mental health technologies men would be willing to engage with, and no app can be effective if the intended users do not engage with it. Objective: The goal of this participatory user research study was to explore the perceptions, preferences, and ideas of workers in male-dominated workplaces to define requirements for a mental health app that would be engaging and effective at improving psychological well-being. Methods: Workers from male-dominated workplaces in rural, suburban, and urban locations took part in an exploratory qualitative study involving participatory workshops designed to elicit their perspectives and preferences for mental health support and the design of an app for mental health. Participants generated a number of artifacts (including draft screen designs and promotional material) designed to reify their perceptions, tacit knowledge, and ideas. Results: A total of 60 workers aged between 26 and 65 years, 92% (55/60) male, from male-dominated workplaces in rural (16/60, 27%), suburban (14/60, 23%), and urban (30/60, 50%) locations participated in one of the 6 workshops, resulting in 49 unique feature ideas and 81 participant-generated artifacts. Thematic analysis resulted in a set of feature, language, and style preferences, as well as characteristics considered important by participants for a mental health app. The term “mental health” was highly stigmatized and disliked by participants. Tools including a mood tracker, self-assessment, and mood-fix tool were highly valued, and app characteristics such as brevity of interactions, minimal on-screen text, and a solutions-oriented approach were considered essential by participants. Some implementation strategies based on these findings are included in the discussion. Conclusions: Future mental health mobile phone apps targeting workers in male-dominated workplaces need to consider language use and preferred features, as well as balance the preferences of users with the demands of evidence-based intervention. In addition to informing the development of mental health apps for workers in male-dominated industries, these findings may also provide insights for mental health technologies, for men in general, and for others in high-stigma environments. %M 29695371 %R 10.2196/mental.8999 %U http://mental.jmir.org/2018/2/e30/ %U https://doi.org/10.2196/mental.8999 %U http://www.ncbi.nlm.nih.gov/pubmed/29695371 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 20 %N 4 %P e145 %T Usage of a Digital Health Workplace Intervention Based on Socioeconomic Environment and Race: Retrospective Secondary Cross-Sectional Study %A Senecal,Conor %A Widmer,R Jay %A Bailey,Kent %A Lerman,Lilach O %A Lerman,Amir %+ Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, United States, 1 507 255 1622, lerman.amir@mayo.edu %K race and ethnicity %K socioeconomic position %K computers %K health services research %K health disparities %D 2018 %7 23.04.2018 %9 Original Paper %J J Med Internet Res %G English %X Background: Digital health tools have been associated with improvement of cardiovascular disease (CVD) risk factors and outcomes; however, the differential use of these technologies among various ethnic and economic classes is not well known. Objective: To identify the effect of socioeconomic environment on usage of a digital health intervention. Methods: A retrospective secondary cross-sectional analysis of a workplace digital health tool use, in association with a change in intermediate markers of CVD, was undertaken over the course of one year in 26,188 participants in a work health program across 81 organizations in 42 American states between 2011 and 2014. Baseline demographic data for participants included age, sex, race, home zip code, weight, height, blood pressure, glucose, lipids, and hemoglobin A1c. Follow-up data was then obtained in 90-day increments for up to one year. Using publicly available data from the American Community Survey, we obtained the median income for each zip code as a marker for socioeconomic status via median household income. Digital health intervention usage was analyzed based on socioeconomic status as well as age, gender, and race. Results: The cohort was found to represent a wide sample of socioeconomic environments from a median income of US $11,000 to $171,000. As a whole, doubling of income was associated with 7.6% increase in log-in frequency. However, there were marked differences between races. Black participants showed a 40.5% increase and Hispanic participants showed a 57.8% increase in use with a doubling of income, compared to 3% for Caucasian participants. Conclusions: The current study demonstrated that socioeconomic data confirms no relevant relationship between socioeconomic environment and digital health intervention usage for Caucasian users. However, a strong relationship is present for black and Hispanic users. Thus, socioeconomic environment plays a prominent role only in minority groups that represent a high-risk group for CVD. This finding identifies a need for digital health apps that are effective in these high-risk groups. %M 29685862 %R 10.2196/jmir.8819 %U http://www.jmir.org/2018/4/e145/ %U https://doi.org/10.2196/jmir.8819 %U http://www.ncbi.nlm.nih.gov/pubmed/29685862 %0 Journal Article %@ 2291-5222 %I JMIR Publications %V 6 %N 3 %P e72 %T Evaluating an mHealth App for Health and Well-Being at Work: Mixed-Method Qualitative Study %A de Korte,Elsbeth Marieke %A Wiezer,Noortje %A Janssen,Joris H %A Vink,Peter %A Kraaij,Wessel %+ Netherlands Organisation for Applied Scientific Research, Schipholweg 77-89, Leiden, 2316 ZL, Netherlands, 31 6 211 34434, elsbeth.dekorte@tno.nl %K mHealth %K work %K qualitative research methods %K interview %K focus group %K technology acceptance %K user satisfaction %K usability %K well-being %K prevention %D 2018 %7 28.03.2018 %9 Original Paper %J JMIR Mhealth Uhealth %G English %X Background: To improve workers’ health and well-being, workplace interventions have been developed, but utilization and reach are unsatisfactory, and effects are small. In recent years, new approaches such as mobile health (mHealth) apps are being developed, but the evidence base is poor. Research is needed to examine its potential and to assess when, where, and for whom mHealth is efficacious in the occupational setting. To develop interventions for workers that actually will be adopted, insight into user satisfaction and technology acceptance is necessary. For this purpose, various qualitative evaluation methods are available. Objective: The objectives of this study were to gain insight into (1) the opinions and experiences of employees and experts on drivers and barriers using an mHealth app in the working context and (2) the added value of three different qualitative methods that are available to evaluate mHealth apps in a working context: interviews with employees, focus groups with employees, and a focus group with experts. Methods: Employees of a high-tech company and experts were asked to use an mHealth app for at least 3 weeks before participating in a qualitative evaluation. Twenty-two employees participated in interviews, 15 employees participated in three focus groups, and 6 experts participated in one focus group. Two researchers independently coded, categorized, and analyzed all quotes yielded from these evaluation methods with a codebook using constructs from user satisfaction and technology acceptance theories. Results: Interviewing employees yielded 785 quotes, focus groups with employees yielded 266 quotes, and the focus group with experts yielded 132 quotes. Overall, participants muted enthusiasm about the app. Combined results from the three evaluation methods showed drivers and barriers for technology, user characteristics, context, privacy, and autonomy. A comparison between the three qualitative methods showed that issues revealed by experts only slightly overlapped with those expressed by employees. In addition, it was seen that the type of evaluation yielded different results. Conclusions: Findings from this study provide the following recommendations for organizations that are planning to provide mHealth apps to their workers and for developers of mHealth apps: (1) system performance influences adoption and adherence, (2) relevancy and benefits of the mHealth app should be clear to the user and should address users’ characteristics, (3) app should take into account the work context, and (4) employees should be alerted to their right to privacy and use of personal data. Furthermore, a qualitative evaluation of mHealth apps in a work setting might benefit from combining more than one method. Factors to consider when selecting a qualitative research method are the design, development stage, and implementation of the app; the working context in which it is being used; employees’ mental models; practicability; resources; and skills required of experts and users. %M 29592846 %R 10.2196/mhealth.6335 %U http://mhealth.jmir.org/2018/3/e72/ %U https://doi.org/10.2196/mhealth.6335 %U http://www.ncbi.nlm.nih.gov/pubmed/29592846 %0 Journal Article %@ 1929-073X %I JMIR Publications %V 7 %N 1 %P e5 %T Usage, Acceptability, and Effectiveness of an Activity Tracker in a Randomized Trial of a Workplace Sitting Intervention: Mixed-Methods Evaluation %A Brakenridge,Charlotte L %A Healy,Genevieve N %A Winkler,Elisabeth AH %A Fjeldsoe,Brianna S %+ School of Public Health, The University of Queensland, Herston Rd, Brisbane, 4006, Australia, 61 733655163, c.brakenridge@uq.edu.au %K wearable electronic devices %K fitness trackers %K sedentary lifestyle %K exercise %K workplace %K adult %D 2018 %7 02.03.2018 %9 Original Paper %J Interact J Med Res %G English %X Background: Wearable activity trackers are now a common feature of workplace wellness programs; however, their ability to impact sitting time (the behavior in which most of the desk-based workday is spent) is relatively unknown. This study evaluated the LUMOback, an activity tracker that targets sitting time, as part of a cluster-randomized workplace sitting intervention in desk-based office workers. Objective: Study objectives were to explore: (1) office workers’ self-directed LUMOback use, (2) individual-level characteristics associated with LUMOback use, (3) the impact of LUMOback use on activity and sitting behaviors, and (4) office workers’ perceived LUMOback acceptability. Methods: Exploratory analyses were conducted within the activity tracker intervention group (n=66) of a 2-arm cluster-randomized trial (n=153) with follow-up at 3 and 12 months. The intervention, delivered from within the workplace, consisted of organizational support strategies (eg, manager support, emails) to stand up, sit less, and move more, plus the provision of a LUMOback activity tracker. The LUMOback, worn belted around the waist, provides real-time sitting feedback through a mobile app. LUMOback usage data (n=62), Web-based questionnaires (n=33), activPAL-assessed sitting, prolonged (≥30 min bouts) and nonprolonged (<30 min bouts) sitting, standing and stepping time (7-day, 24 h/day protocol; n=40), and telephone interviews (n=27) were used to evaluate study aims. LUMOback usage data were downloaded and described. Associations between user characteristics and LUMOback usage (in the first 3 months) were analyzed using zero-inflated negative binomial models. Associations between LUMOback usage and 3-month activity outcomes were analyzed using mixed models, correcting for cluster. LUMOback acceptability was explored using 3-month questionnaire data and thematic analysis of telephone interviews (conducted 6 to 10 months post intervention commencement). Results: Tracker uptake was modest (43/61, 70%), and among users, usage over the first 3 months was low (1-48 days, median 8). Usage was greatest among team leaders and those with low self-perceived scores for job control and supervisor relationships. Greater tracker use (≥5 days vs <5 days) was significantly associated only with changes in prolonged unbroken sitting (−50.7 min/16 h; 95% CI −94.0 to −7.3; P=.02) during all waking hours, and changes in nonprolonged sitting (+32.5 min/10 h; 95% CI 5.0 to 59.9; P=.02) during work hours. Participants found the LUMOback easy to use but only somewhat comfortable. Qualitatively, participants valued the real-time app feedback. Nonuptake was attributed to being busy and setup issues. Low usage was attributed to discomfort wearing the LUMOback. Conclusions: The LUMOback—although able to reduce prolonged sitting time—was only used to a limited extent, and its low usage may provide a partial explanation for the limited behavior changes that occurred. Discomfort limited the feasibility of the LUMOback for ongoing use. Such findings yield insight into how to improve upon implementing activity trackers in workplace settings. %M 29500158 %R 10.2196/ijmr.9001 %U http://www.i-jmr.org/2018/1/e5/ %U https://doi.org/10.2196/ijmr.9001 %U http://www.ncbi.nlm.nih.gov/pubmed/29500158