ID Number		2380
Study Type		Social Sciences
Model		Investigation of the use of mobile phone and Web- and text messaging on well being factors (smoking, diabetes management, alcohol consumption, long-term illness, depression, etc). (CATCH ALL)
Details		AUTHORS' ABSTRACT: Haug et al. 2013 (Article in German)(IEEE #5584): BACKGROUND: The results of a cluster randomised trial testing the efficacy of a text messaging (SMS)-based program for smoking cessation in vocational school students showed no short-term effects on smoking cessation; however the program resulted in lower cigarette consumption. Furthermore, occasional smokers of the intervention group made more attempts to quit smoking than occasional smokers in the control group. METHODS: Moderator analyses were conducted to test whether program efficacy differed according to demographic, health- and smoking-related baseline variables of the participants. RESULTS: In daily smokers, reduction of cigarette consumption was not moderated by any of the examined baseline variables. In occasional smokers, age moderated the reduction of cigarette consumption, with a higher reduction in older students. In the subgroup of daily smokers, the intervention more often resulted in progress on the stages of health behaviour change in male smokers and in smokers with at risk drinking. Furthermore, the intervention resulted in more serious quit attempts in daily smokers aged 18 years or older. CONCLUSION: The results provide information on subgroups, which particularly benefit from participation in the SMS-program. AUTHORS' ABSTRACT: Haug et al. 2013 (IEEE #5585):BACKGROUND: Problem drinking, particularly risky single-occasion drinking (RSOD), also called "binge drinking", is widespread among adolescents and young adults in most Western countries. Few studies have tested the effectiveness of interventions to reduce RSOD in young people with heterogeneous and particularly lower educational background. OBJECTIVE: To test the appropriateness and initial effectiveness of a combined, individually tailored Web- and text messaging (SMS)-based intervention program to reduce problem drinking in vocational school students. METHODS: The fully automated program provided: (1) online feedback about an individual's drinking pattern compared to the drinking norms of an age- and gender-specific reference group, and (2) recurrent individualized SMS messages over a time period of 3 months. Generalized Estimating Equation (GEE) analyses were used to investigate the longitudinal courses of the following outcomes over the study period of 3 months: RSOD, alcohol-related problems, mean number of standard drinks per week, and maximum number of standard drinks on an occasion. RESULTS: The program was tested in 36 school classes at 7 vocational schools in Switzerland. Regardless of their drinking behavior, 477 vocational school students who owned a mobile phone were invited to participate in the program. Of these, 364 (76.3%) participated in the program. During the intervention period, 23 out of 364 (6.3%) persons unsubscribed from participating in the program. The GEE analyses revealed decreases in the percentage of persons with RSOD from baseline (75.5%, 210/278) to follow-up assessment (67.6%, 188/278, P<.001), in the percentage of persons with alcohol-related problems (20.4%, 57/280 to 14.3%, 40/280, P=.009), and in the mean number of standard drinks per week: 13.4 (SD 15.3) to 11.3 (SD 14.0), P=.002. They also revealed a trend toward a decrease in the mean of the maximum number of drinks consumed on an occasion: 11.3 (SD 10.3) to 10.5 (SD 10.3), P=.08. CONCLUSIONS: The results show high acceptance and promising effectiveness of this interventional approach, which could be easily and economically implemented within school classes. AUTHORS'S ABSTRACT: Haug et al. 2013 (IEEE #5586): BACKGROUND: Smoking prevalence remains high, particularly among adolescents and young adults with lower educational levels, posing a serious public health problem. There is limited evidence of effective smoking cessation interventions in this population. OBJECTIVE: To test the efficacy of an individually tailored, fully automated text messaging (short message service, SMS)-based intervention for smoking cessation in young people. METHODS: A 2-arm cluster randomized controlled trial, using school class as the randomization unit, was conducted to test the efficacy of the SMS text messaging intervention compared to an assessment-only control group. Students who smoked were proactively recruited via online screening in vocational school classes. Text messages, tailored to demographic and smoking-related variables, were sent to the participants of the intervention group at least 3 times per week over a period of 3 months. A follow-up assessment was performed 6 months after study inclusion. The primary outcome measure was 7-day smoking abstinence. Secondary outcomes were 4-week smoking abstinence, cigarette consumption, stage of change, and attempts to quit smoking. We used regression models controlling for baseline differences between the study groups to test the efficacy of the intervention. Both complete-case analyses (CCA) and intention-to-treat analyses (ITT) were performed. Subgroup analyses were conducted for occasional and daily smokers. RESULTS: A total of 2638 students in 178 vocational school classes in Switzerland participated in the online screening. Overall, 1012 persons met the inclusion criteria for study participation, and 755 persons (74.6%) participated in the study (intervention: n=372; control: n=383). Of the 372 program participants, 9 (2.4%) unsubscribed from the program during the intervention period. Six-month follow-up data were obtained for 559 study participants (74.0%). The 7-day smoking abstinence rate at follow-up was 12.5% in the intervention group and 9.6% in the control group (ITT: P=.92). No differences between the study groups were observed in 4-week point prevalence abstinence rates. The decrease in the mean number of cigarettes smoked per day from baseline to follow-up was higher in the intervention group than in the control group (ITT: P=.002). No differences between the groups were observed in stage of change (ITT: P=.82) and quit attempts (ITT: P=.38). The subgroup analyses revealed lower cigarette consumption in both occasional and daily smokers in the intervention group compared to the control group. Occasional smokers in the intervention group made more attempts to quit smoking than occasional smokers in the control group. CONCLUSIONS: This study demonstrated the potential of an SMS text message-based intervention to reach a high proportion of young smokers with low education levels. The intervention did not have statistically significant short-term effects on smoking cessation; however, it resulted in statistically significant lower cigarette consumption. Additionally, it resulted in statistically significant more attempts to quit smoking in occasional smokers. AUTHORS' ABSTRACT: Lucht et al. 2014 (IEEE #5587): BACKGROUND: In public health settings, short message service (SMS) appears to be a promising low-cost modality for reducing alcohol consumption. Here, we test a simple interactive SMS-based helpline with detoxified alcohol-dependent patients to extend findings to curative settings. METHODS: This controlled, prospective, 2-group before-after block-assignment, open pilot study tested the feasibility and efficacy of an 8-week outpatient interactive mobile phone SMS intervention (n = 42) against treatment as usual (TAU; n = 38) after inpatient detoxification. Patients were asked whether they needed any help via an automatically generated text message twice a week. A therapist called the individual back when notified. Alcohol consumption was assessed using the telephone version of Form-90 4 and 8 weeks after discharge from inpatient detoxification. The primary end point was defined as attaining low-risk consumption (males d30 g or 3.75 units per drinking day (DDD); females d20 g or 2.5 units per DDD) 8 weeks after discharge. Missing data were replaced by multiple imputation. RESULTS: Among all messages sent, 20.5% were followed by a phone call. Feasibility and acceptability were good, as indicated by successful implementation of the SMS procedure and the rapid inclusion of patients. Adherence was satisfactory with 57.14% of the participants replying to at least 50% of the prompts. Patients reported a typical preadmission DDD of 281.25 ± 244.61 g. In the SMS group, 55.7% of 42 patients, and 40% of 38 patients in the TAU group, achieved low-risk consumption (risk diff: 0.16; 95% CI -0.06 to 0.37; p = 0.122). CONCLUSIONS: In detoxified alcohol-dependent patients, relapse prevention based on SMS was well received and implemented efficiently and rapidly. An adequately powered multicenter study is currently being conducted to test the nonsignificant but encouraging findings of this exploratory study with more rigorous trial methods (ISRCTN78350716). AUTHORS' ABSTRACT: de Jongh et al. 2012 (IEEE #5588): BACKGROUND: Long-term illnesses affect a significant proportion of the population in developed and developing countries. Mobile phone messaging applications, such as Short Message Service (SMS) and Multimedia Message Service (MMS), may present convenient, cost-effective ways of supporting self-management and improving patients' self-efficacy skills through, for instance, medication reminders, therapy adjustments or supportive messages. OBJECTIVES: To assess the effects of mobile phone messaging applications designed to facilitate self-management of long-term illnesses, in terms of impact on health outcomes and patients' capacity to self-manage their condition. Secondary objectives include assessment of: user evaluation of the intervention; health service utilisation and costs; and possible risks and harms associated with the intervention. SEARCH METHODS: We searched the Cochrane Central Register of Controlled Trials (CENTRAL,The Cochrane Library 2009, Issue 2), MEDLINE (OvidSP) (January 1993 to June 2009), EMBASE (OvidSP) (January 1993 to June 2009), PsycINFO (OvidSP) (January 1993 to June 2009), CINAHL (EbscoHOST) (January 1993 to June 2009), LILACS (January 1993 to June 2009) and African Health Anthology (January 1993 to June 2009).We also reviewed grey literature (including trial registers) and reference lists of articles. SELECTION CRITERIA: We included randomised controlled trials (RCTs), quasi-randomised controlled trials (QRCTs), controlled before-after (CBA) studies, or interrupted time series (ITS) studies with at least three time points before and after the intervention. We selected only studies where it was possible to assess the effects of mobile phone messaging independent of other technologies or interventions. DATA COLLECTION AND ANALYSIS: Two review authors independently assessed all studies against the inclusion criteria, with any disagreements resolved by a third review author. Study design features, characteristics of target populations, interventions and controls, and results data were extracted by two review authors and confirmed by a third. Primary outcomes of interest were health outcomes as a result of the intervention and capacity to self-manage long-term conditions. We also considered patients' and providers' evaluation of the intervention, perceptions of safety, health service utilisation and costs, and potential harms or adverse effects. The included studies were heterogeneous in type of condition addressed, intervention characteristics and outcome measures. Therefore, a meta-analysis to derive an overall effect size for the main outcome categories was not considered justified and findings are presented narratively. MAIN RESULTS: We included four randomised controlled trials involving 182 participants.For the primary outcome of health outcomes, including physiological measures, there is moderate quality evidence from two studies involving people with diabetes showing no statistical difference from text messaging interventions compared with usual care or email reminders for glycaemic control (HbA1c), the frequency of diabetic complications, or body weight. There is moderate quality evidence from one study of hypertensive patients that the mean blood pressure and the proportion of patients who achieved blood pressure control were not significantly different in the intervention and control groups, and that there was no statistically significant difference in mean body weight between the groups. There is moderate quality evidence from one study that asthma patients receiving a text messaging intervention experienced greater improvements on peak expiratory flow variability (mean difference (MD) -11.12, 95% confidence interval (CI) -19.56 to -2.68) and the pooled symptom score comprising four items (cough, night symptoms, sleep quality, and maximum tolerated activity) (MD -0.36, 95% CI -0.56 to -0.17) compared with the control group. However, the study found no significant differences between the groups in impact on forced vital capacity or forced expiratory flow in 1 second.For the primary outcome of capacity to self-manage the condition, there is moderate quality evidence from one study that diabetes patients receiving the text messaging intervention demonstrated improved scores on measures of self-management capacity (Self-Efficacy for Diabetes score (MD 6.10, 95% CI 0.45 to 11.75), Diabetes Social Support Interview pooled score (MD 4.39, 95% CI 2.85 to 5.92)), but did not show improved knowledge of diabetes. There is moderate quality evidence from three studies of the effects on treatment compliance. One study showed an increase in hypertensive patients' rates of medication compliance in the intervention group (MD 8.90, 95% CI 0.18 to 17.62) compared with the control group, but in another study there was no statistically significant effect on rates of compliance with peak expiratory flow measurement in asthma patients. Text message prompts for diabetic patients initially also resulted in a higher number of blood glucose results sent back (46.0) than email prompts did (23.5).For the secondary outcome of participants' evaluation of the intervention, there is very low quality evidence from two studies that patients receiving mobile phone messaging support reported perceived improvement in diabetes self-management, wanted to continue receiving messages, and preferred mobile phone messaging to email as a method to access a computerised reminder system.For the secondary outcome of health service utilisation, there is very low quality evidence from two studies. Diabetes patients receiving text messaging support made a comparable number of clinic visits and calls to an emergency hotline as patients without the support. For asthma patients the total number of office visits was higher in the text messaging group, whereas the number of hospital admissions was higher for the control group.Because of the small number of trials included, and the low overall number of participants, for any of the reviewed outcomes the quality of the evidence can at best be considered moderate. AUTHORS' CONCLUSIONS: We found some, albeit very limited, indications that in certain cases mobile phone messaging interventions may provide benefit in supporting the self-management of long-term illnesses. However, there are significant information gaps regarding the long-term effects, acceptability, costs, and risks of such interventions. Given the enthusiasm with which so-called mHealth interventions are currently being implemented, further research into these issues is needed. AUTHORS' ABSTRACT: Shaw et al. 2013 (IEEE #5589): BACKGROUND: Using regulatory focus theory, an intervention of daily weight loss-sustaining messages was developed and tested for acceptability, feasibility, and efficacy on helping people sustain weight loss. METHODS: Participants (n = 120) were randomized to a promotion, prevention, or an attention-control text message group after completion of a weight loss program. Participants completed baseline assessments, and reported their weight at 1 and 3 months postbaseline. RESULTS: Participants found the message content and intervention acceptable and valuable. A minimum of one message per day delivered at approximately 8:00 am was deemed the optimal delivery time and frequency. The sustained weight loss rate at month 3 for the control, promotion, and prevention groups was 90%, 95%, and 100%, respectively. Medium-to-large effects were observed for the promotion and prevention groups at month 1 and for prevention at month 3 relative to controls. The mean weight loss for promotion and prevention was 15 pounds, compared with 10 in the controls at month 3. CONCLUSION: A clinically significant decrease in mean weight, higher rate of sustained weight loss, and medium-to-large effects on sustained weight loss occurred in the promotion and prevention interventions. Tools such as this text message-based intervention that are constructed and guided by evidence-based content and theoretical constructs show promise in helping people sustain healthy behaviors that can lead to improved health outcomes. AUTHORS' ABSTRACT: Head et al. 2013 (IEEE #5590): This meta-analysis investigated the efficacy of text messaging-based health promotion interventions. Nineteen randomized controlled trials conducted in 13 countries met inclusion criteria and were coded on a variety of participant, intervention, and methodological moderators. Meta-analytic procedures were used to compute and aggregate effect sizes. The overall weighted mean effect size representing the impact of these interventions on health outcomes was d = .329 (95% CI = .274, .385; p < .001). This effect size was statistically heterogeneous (Q18 = 55.60, p < .001, I(2) = 67.62), and several variables significantly moderated the effects of interventions. Smoking cessation and physical activity interventions were more successful than interventions targeting other health outcomes. Message tailoring and personalization were significantly associated with greater intervention efficacy. No significant differences were found between text-only interventions and interventions that included texting plus other components. Interventions that used an individualized or decreasing frequency of messages over the course of the intervention were more successful than interventions that used a fixed message frequency. We discuss implications of these results for health promotion interventions that use text messaging. AUTHORS' ABSTRACT: Stuckey et al. 2013 ((IEEE #5591): BACKGROUND: Metabolic syndrome is a cluster of cardiovascular risk factors that greatly increase the risk of developing cardiovascular disease and type 2 diabetes. Regular exercise improves the risk profile, but most people do not successfully change their exercise habits to beneficially reduce risk. Tailored exercise prescribed by a family physician has shown promise as a means to increase fitness and reduce cardiometabolic risk, but optimal implementation practices remain unknown. Mobile health technologies have proved to be a beneficial tool to achieve blood pressure and blood glucose control in patients with diabetes. These technologies may address the limited access to health interventions in rural and remote regions. However, the potential as a tool to support exercise-based prevention activities is not well understood. This study was undertaken to investigate the effects of a tailored exercise prescription alone or supported by mobile health technologies to improve metabolic syndrome and related cardiometabolic risk factors in rural community-dwelling adults at risk for cardiovascular disease and type 2 diabetes. METHODS/DESIGN: Adults (n = 149) with at least two metabolic syndrome risk factors were recruited from rural communities and randomized to either: 1) an intervention group receiving an exercise prescription and devices for monitoring of risk factors with a smartphone data portal equipped with a mobile health application; or 2) an active control group receiving only an exercise prescription. All participants reported to the research centre at baseline, and at 12-, 24- and 52-week follow-up visits for measurement of anthropometrics and blood pressure and for a blood draw to test blood-borne markers of cardiometabolic health. Vascular and autonomic function were examined. Fitness was assessed and exercise prescribed according to the Step Test and Exercise Prescription protocol. DISCUSSION: This study tested the effects of a prescriptive exercise intervention alone, versus one supported by mobile health technology on cardiometabolic risk factors. The intervention was designed to be translated into clinical or community-based programming. Results will contribute to the current literature by investigating the utility of mobile health technology support for exercise prescription interventions to improve cardiometabolic risk status and maintain improvements over time; particularly in rural communities. AUTHORS' ABSTRACT: Gritz et al. 2013 (IEEE #5592): BACKGROUND: People living with human immunodeficiency virus (HIV)/AIDS (PLWHA) have a substantially higher prevalence of cigarette smoking compared to the general population. In addition, PLWHA are particularly susceptible to the adverse health effects of smoking. Our primary objective was to design and test the efficacy over 12 months of a smoking cessation intervention targeting PLWHA. METHODS: Participants were enrolled from an urban HIV clinic with a multiethnic and economically disadvantaged patient population. Participants received smoking cessation treatment either through usual care (UC) or counseling delivered by a cell phone intervention (CPI). The 7-day point prevalence abstinence was evaluated at 3, 6, and 12 months using logistic regression and generalized linear mixed models. RESULTS: We randomized 474 HIV-positive smokers to either the UC or CPI group. When evaluating the overall treatment effect (7-day abstinence outcomes from 3-, 6-, and 12-month follow-ups), participants in the CPI group were 2.41 times (P = .049) more likely to demonstrate abstinence compared to the UC group. The treatment effect was strongest at the 3-month follow-up (odds ratio = 4.3, P < .001), but diminished at 6 and 12 months (P > .05). CONCLUSIONS: Cell phone-delivered smoking cessation treatment has a positive impact on abstinence rates compared to a usual care approach. Future research should focus on strategies for sustaining the treatment effect in the long term. AUTHORS' ABSTRACT: Yusuf et al. 2013 (IEEE #5593): Physical activity recognition has emerged as an active area of research which has drawn increasing interest from researchers in a variety of fields. It can support many different applications such as safety surveillance, fraud detection, and clinical management. Accelerometers have emerged as the most useful and extensive tool to capture and assess human physical activities in a continuous, unobtrusive and reliable manner. The need for objective physical activity data arises strongly in health related research. With the shift to a sedentary lifestyle, where work and leisure tend to be less physically demanding, research on the health effects of low physical activity has become a necessity. The increased availability of small, inexpensive components has led to the development of mobile devices such as smartphones, providing platforms for new opportunities in healthcare applications. In this study 3 subjects performed directed activity routines wearing a smartphone with a built in tri-axial accelerometer, attached on a belt around the waist. The data was collected to classify 11 basic physical activities such as sitting, lying, standing, walking, and the transitions in between them. A hierarchical classifier approach was utilised with Artificial Neural Networks integrated in a rule-based system, to classify the activities. Based on our evaluation, recognition accuracy of over 89.6% between subjects and over 91.5% within subject was achieved. These results show that activities such as these can be recognised with a high accuracy rate; hence the approach is promising for use in future work. AUTHORS' ABSTRACT: Oncescu et al. 2013 (IEEE #5594): The mobile health market is rapidly expanding and portable diagnostics tools offer an opportunity to decrease costs and increase the availability of healthcare. Here we present a smartphone based accessory and method for the rapid colorimetric detection of pH in sweat and saliva. Sweat pH can be correlated to sodium concentration and sweat rate in order to indicate to users the proper time to hydrate during physical exercise and avoid the risk of muscle cramps. Salivary pH below a critical threshold is correlated with enamel decalcification, an acidic breakdown of calcium in the teeth. We conduct a number of human trials with the device on a treadmill to demonstrate the ability to monitor changes in sweat pH due to exercise and electrolyte intake and predict optimal hydration. Additionally, we perform trials to measure salivary pH over time to monitor the effects of diet on oral health risks. AUTHORS' ABSTRACT: van Olmen et al. 2013 (IEEE #5600): BACKGROUND: People with diabetes find it difficult to sustain adequate self-management behaviour. Self-Management Support strategies, including the use of mobile technology, have shown potential benefit. This study evaluates the effectiveness of a mobile phone support intervention on top of an existing strategy in three countries, DR Congo, Cambodia and the Philippines to improve health outcomes, access to care and enablement of people with diabetes, with 480 people with diabetes in each country who are randomised to either standard support or to the intervention. DESIGN/METHODS: The study consists of three sub-studies with a similar design in three countries to be independently implemented and analysed. The design is a two-arm Randomised Controlled Trial, in which a total of 480 adults with diabetes participating in an existing DSME programme will be randomly allocated to either usual care in the existing programme or to usual care plus a mobile phone self-management support intervention. Participants in both arms complete assessments at baseline, one year and two years after inclusion.Glycosylated haemoglobin blood pressure, height, weight, waist circumference will be measured. Individual interviews will be conducted to determine the patients' assessment of chronic illness care, degree of self-enablement, and access to care before implementation of the intervention, at intermediate moments and at the end of the study.Analyses of quantitative data including assessment of differences in changes in outcomes between the intervention and usual care group will be done. A probability of <0.05 is considered statistically significant. Outcome indicators will be plotted over time. All data are analysed for confounding and interaction in multivariate regression analyses taking potential clustering effects into account.Differences in outcome measures will be analysed per country and realistic evaluation to assess processes and context factors that influence implementation in order to understand why it works, for whom, under which circumstances. A costing study will be performed. DISCUSSION: The intervention addresses the problem that the greater part of diabetes management takes place without external support and that many challenges, unforeseen problems and questions occur at moments in between scheduled contacts with the support system, by exploiting communication technology. AUTHORS' ABSTRACT: Dennison et al. (IEEE #5601): BACKGROUND: There is increasing interest from academics and clinicians in harnessing smartphone applications (apps) as a means of delivering behavioral interventions for health. Despite the growing availability of a range of health-related apps on the market, academic research on the development and evaluation of such apps is in the relatively early stages. A few existing studies have explored the views of various populations on using mobile phones for health-related issues and some studies are beginning to report user feedback on specific apps. However, there remains little in depth research on users' (and potential users') experiences and views on a wide range of features and technologies that apps are, or will soon be, capable of. In particular, research on young adults is lacking, which is an unfortunate omission considering that this group comprises of a good number of mobile technology adoptors. OBJECTIVE: The current study sought to explore young adults' perspectives on apps related to health behavior change. It sought their experiences and views of features that might support health behavior change and issues that contribute to interest in and willingness to use such apps. METHODS: Four focus groups were conducted with 19 students and staff at a University in the United Kingdom. Participants included 13 females and 6 males with a mean age of 23.79 (SD 7.89). The focus group discussions centred on participants' experiences of using smartphone apps to support a healthy lifestyle, and their interest in and feelings about features and capabilities of such apps. The focus groups were recorded, transcribed, and analyzed using inductive thematic analysis. RESULTS: Study findings suggested that young, currently healthy adults have some interest in apps that attempt to support health-related behavior change. Accuracy and legitimacy, security, effort required, and immediate effects on mood emerged as important influences on app usage. The ability to record and track behavior and goals and the ability to acquire advice and information "on the go" were valued. Context-sensing capabilities and social media features tended to be considered unnecessary and off-putting. CONCLUSIONS: This study provided insight into the opportunities and challenges involved in delivering health-related behavioral interventions through smartphone apps. The findings suggested a number of valued features and characteristics that app developers may wish to consider when creating health behavior apps. Findings also highlighted several major challenges that appeared to need further consideration and research to ensure the development of effective and well-accepted behavior change apps. AUTHORS' ABSTRACT: Baron et al. 2013 (IEEE #5602): BACKGROUND: There is no functional pharmacovigilance system in Cambodia to our knowledge. Mobile phone-based tools, such as short message service (SMS) text messages, are increasingly used for surveillance purposes. OBJECTIVE: To pilot-test the FrontlineSMS mobile phone-based tool for notification of adverse events, using Cambodia's only International Vaccination Center at the Institut Pasteur du Cambodge as a field site. METHODS: People receiving vaccinations, aged over 18 years, and who owned a cell phone were recruited in the study following informed consent. The names and mobile phone numbers of the participants interviewed were entered each day into the FrontlineSMS software. Two days after being vaccinated, participants received an automatically generated SMS text message asking whether any adverse events had occurred. Their SMS reply was number-coded and exported from the software daily to an Excel spreadsheet and examined before being saved. If the participant replied with a code for a severe adverse event (8 or 9), they were automatically advised to consult the nearest doctor. RESULTS: The active surveillance study was conducted over 72 days in the spring of 2012. Patients agreed to be asked by SMS text message whether unwanted events had occurred after vaccination. Of 1331 persons aged over 18 years referred to the vaccination unit, 184 (13.8%) were asked and agreed to participate. When texted for clinical status 48 hours after vaccination, 52 (28.3%) participants did not reply, 101 (54.9%) sent an immediate
Findings		Not Applicable to Bioeffects
Status		Completed With Publication
Principal Investigator
Funding Agency		?????
Country		SWITZERLAND
References		Haug , S et al. Psychiatr Prax., (2013) 40:339-346 Haug, S et al. J Med Internet Res., (Sept 2, 2013) 15:15(9):e196. doi: 10.2196/jmir.2755-(15 pages) Haug, S et al. J Med Internet Res., (2013) 15(8):e171. doi: 10.2196/jmir.2636- Lucht, MJ et al. Alcohol Clin Exp Res., (2014) 38:1728-1736 de Jongh, T et al. Cochrane Database Syst Rev., (Dec 12, 2012) 12:12:CD007459. doi: 10.1002/14651858.CD007459.pub2.-(50 pages) Shaw, RJ et al. Am J Med., (2013) 126:1002-1009 Head , KJ et al. Soc Sci Med., (2013) 97:41-48 Stuckey, MI et al. BMC Public Health., (Nov 7, 2013) 13:13:1051. doi: 10.1186/1471-2458-13-1051.-(10 pages) Gritz, ER et al. Clin Infect Dis, (2013) 57:608-615 Yusuf, F et al. Stud Health Technol Inform., (2013) 188:174-180 Oncescu , V et al. Lab Chip., (2013) 13:3232-3238 van Olmen, J et al. BMC Public Health., (2013) 13:423-(9 pages) Dennison , L et al. J Med Internet Res., (2013) 15:- Baron, S et al. J Med Internet Res., (2013) 15:- Reynolds Jr, DJ et al. Cyberpsychol Behav Soc Netw., (2013) 16:370-377 Vasbinder , EC et al. BMC Med Inform Decis Mak., (2013) 13:38- Crooke, AH et al. Drug Alcohol Rev., (2013) 32:262-268 Nundy , S et al. Med Internet Res., (2013) 15:- Livingston , M et al. BMC Med Res Methodol., (2013) 13:41- Nundy , S et al. Patient Educ Couns., (2013) 90:125-132 Wu, RC et al. J Am Med Inform Assoc., (2013) 20:766-777 Wu, RC et al. Int J Med Inform., (2012) 81:723-732 da Costa, TM et al. Int J Med Inform., (2012) 81:257-269 Lester, RT et al. Lancet., (2010) 376:1838-1845 Verhoeven, F et al. J Diabetes Sci Technol., (2010) 4:666-684 Cole-Lewis, H et al. Epidemiol Rev., (2010) 32:56-69 Sirriyeh, R et al. Br J Health Psychol., (2010) 15:825-840 Hardy , H et al. AIDS Patient Care STDS., (2011) 25:153-161 Kroemer, S et al. Br J Dermatol., (2011) 164:973-979 Yayar, R et al. Theoretical and Applied Economics. , (2014) XXI (No. 5):97-112 Minagawa, Y et al. Gerontology., (2014) 60:539-547 Tutkun, E et al. Procedia - Social and Behavioral Sciences., (2014) 116:5215-5222 Kam, AC et al. EAR & HEARING., (2016) 38:e85-e92 Redmayne, M et al. Environmental Health. , (2013) 12:90-https://doi.org/10.1186/1476-069X-12-90 Visvanathan, A et al. Telemedicine journal and e-health., (2011) 17:656-661
Comments		AUTHORS' ABSTRACT: Kroemer et al. 2011 (IEEE #5645): BACKGROUND: The ability to diagnose malignant skin tumours accurately and to distinguish them from benign lesions is vital in ensuring appropriate patient management. Little is known about the effects of mobile teledermatology services on diagnostic accuracy and their appropriateness for skin tumour surveillance. OBJECTIVE: To evaluate the diagnostic accuracy of clinical and dermoscopic image tele-evaluation for mobile skin tumour screening. METHODS: Over a 3-month period up to three clinical and dermoscopic images were obtained of 113 skin tumours from 88 patients using a mobile phone camera. Dermoscopic images were taken with a dermatoscope applied to the camera lens. Clinical and dermoscopic images of each lesion together with clinical information were separately teletransmitted for decision-making. Results were compared with those obtained by face-to-face examination and histopathology as the gold standard. RESULTS: A total of 322 clinical and 278 dermoscopic images were acquired; two (1%) clinical and 18 (6%) dermoscopic pictures were inadequate for decision-making. After excluding inadequate images, the majority of which were dermoscopic pictures, only 104 of the 113 skin tumours from 80 of 88 patients could be tele-evaluated. Among these 104 lesions, 25 (24%) benign nonmelanocytic, 15 (14%) benign melanocytic, 58 (56%) malignant nonmelanocytic and six (6%) malignant melanocytic lesions were identified. Clinical and dermoscopic tele-evaluations demonstrated strong concordance with the gold standard (º = 0·84 for each) and similar high sensitivity and specificity for all diagnostic categories. With regard to the detailed diagnoses, clinical image tele-evaluation was superior to teledermoscopy resulting in 16 vs. 22 discordant cases. CONCLUSIONS: Clinical image tele-evaluation might be the method of choice for mobile tumour screening. AUTHORS' ABSTRACT: Minagawa and Saito 2014 (IEEE #5710): Background: There has been increasing interest in the impact of information and communication technologies, such as the computer and Internet, on physical and mental health status, but relatively little is known about the health effects of using cell phones. Objective: This study investigates how cell phone usage is associated with levels of depressive symptoms among Japanese men and women aged 65 years and older. We focus on social relationships, particularly intergenerational relationships between older parents and adult children, as a possible mediator in the association of cell phone use with late-life depressive symptoms. We therefore hypothesize that using cell phones contributes to the psychological well-being of older adults primarily through encouraging social relationships. Methods: We used 4 waves of data from the Nihon University Japanese Longitudinal Study of Aging (2001-2009) to analyze the impact of cell phone use on depressive symptoms. Results are based on ordinary least squares regression analyses. Results: Although the use of cell phones was related to lower levels of depressive symptoms among elderly Japanese people, controlling for sociodemographic characteristics and physical health conditions wiped out the effects for men. In contrast, the protective effects of using cell phones persisted among women, even net of all controls. Moreover, the impact of using cell phones was not explained by filial relationship measures, suggesting that cell phone use influences the mental health of older women independently of social engagement. Conclusions: Among the many advantages brought about by recent technological developments, cell phones appear to be an important contributor to the psychological well-being of Japanese elders. Researchers and policy makers should prioritize access to new technologies for older adults.