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 SMS reply, and 31 (16.8%) sent an SMS reply after additional prompting. Of the initial 184 participants, 132 (71.7%) replied. These 132 participants received 135 vaccine doses and 109 (82.6%) reported no adverse events, whereas 23 (17.4%) reported adverse events, all benign. CONCLUSIONS: Notification using an SMS-based text message system is already used in Cambodia for syndromic surveillance in health centers and reporting by health care workers. Our results show that such tools can also be useful for notification by patients or health users in Cambodia, especially in an urban setting. AUTHORS' ABSTRACT: Reynolds et al. 2013 (IEEE #5603): The impact of exchanges and client-therapist alliance of online therapy text exchanges were compared to previously published results in face-to-face therapy, and the moderating effects of four participant factors found significant in previously published face-to-face studies were investigated using statistical mixed-effect modeling analytic techniques. Therapists (N=30) and clients (N=30) engaged in online therapy were recruited from private practitioner sites, e-clinics, online counseling centers, and mental-health-related discussion boards. In a naturalistic design, they each visited an online site weekly and completed the standard impact and alliance questionnaires for at least 6 weeks. Results indicated that the impact of exchanges and client-therapist alliance in text therapy was similar to, but in some respects more positive than, previous evaluations of face-to-face therapy. The significance of participant factors previously found to influence impact and alliance in face-to-face therapy (client symptom severity, social support, therapist theoretical orientation, and therapist experience) was not replicated, except that therapists with the more symptomatic clients rated their text exchanges as less smooth and comfortable. Although its small size and naturalistic design impose limitations on sensitivity and generalizability, this study provides some insights into treatment impact and the alliance in online therapy. AUTHORS' ABSTRACT: Vasbinder et al. 2013 (IEEE #5603): BACKGROUND: Many children with asthma do not have sufficient asthma control, which leads to increased healthcare costs and productivity loss of parents. One of the causative factors are adherence problems. Effective interventions improving medication adherence may therefore improve asthma control and reduce costs. A promising solution is sending real time text-messages via the mobile phone network, when a medicine is about to be forgotten. As the effect of real time text-messages in children with asthma is unknown, the primary aim of this study is to determine the effect of a Real Time Medication Monitoring system (RTMM) with text-messages on adherence to inhaled corticosteroids (ICS). The secondary objective is to study the effects of RTMM on asthma control, quality of life and cost-effectiveness of treatment. METHODS: A multicenter, randomized controlled trial involving 220 children (4-11 years) using ICS for asthma. All children receive an RTMM-device for one year, which registers time and date of ICS doses. Children in the intervention group also receive tailored text-messages, sent only when a dose is at risk of omission. Primary outcome measure is the proportion of ICS dosages taken within the individually predefined time-interval. Secondary outcome measures include asthma control (monthly Asthma Control Tests), asthma exacerbations, healthcare use (collected from hospital records, patient reports and pharmacy record data), and disease-specific quality of life (PAQLQ questionnaire). Parental and children's acceptance of RTMM is evaluated with online focus groups and patient questionnaires. An economic evaluation is performed adopting a societal perspective, including relevant healthcare costs and parental productivity loss. Furthermore, a decision-analytic model is developed in which different levels of adherence are associated with clinical and financial outcomes. Also, sensitivity analyses are carried out on different price levels for RTMM. DISCUSSION: If RTMM with tailored text-message reminders proves to be effective, this technique can be used in daily practice, which would support children with suboptimal adherence in their asthma (self)management and in achieving better asthma control and better quality of life. AUTHORS' ABSTRACT: Crooke et al. 2013 (IEEE #5605): INTRODUCTION AND AIMS: Alcohol use during adolescence is associated with the onset of alcohol use disorders, mental health disorders, substance abuse as well as socially and physically damaging behaviours, the effects of which last well into adulthood. Nevertheless, alcohol use remains prevalent in this population. Understanding motivations behind adolescent alcohol consumption may help in developing more appropriate and effective interventions. This study aims to increase this understanding by exploring the temporal relationship between mood and different levels of alcohol intake in a sample of young people. DESIGN AND METHODS: Forty-one secondary school students used a purpose-designed mobile phone application to monitor their daily mood and alcohol use for 20 random days within a 31 day period. Generalised estimating equations were used to examine the relationship between differing levels of alcohol consumption (light, intermediate and heavy) and positive and negative mood three days before and after drinking episodes. RESULTS: While there was no relationship between light and heavy drinking and positive mood, there was an increase in positive mood before and after the drinking event for those that drank intermediate amounts. No statistically significant relationships were found between negative mood and any of the three drinking categories. DISCUSSION AND CONCLUSION: Adolescents who drank in intermediate amounts on a single drinking occasion experienced an increase in positive mood over the three days leading up to and three days following a drinking event. These findings contribute to an understanding of the motivations that underpin adolescent alcohol use, which may help inform future interventions. AUTHORS' ABSTRACT: Nundy et al. 2013 (IEEE #5606): BACKGROUND: There is increasing interest in finding novel approaches to reduce health disparities in readmissions for acute decompensated heart failure (ADHF). Text messaging is a promising platform for improving chronic disease self-management in low-income populations, yet is largely unexplored in ADHF. OBJECTIVE: The purpose of this pre-post study was to assess the feasibility and acceptability of a text message-based (SMS: short message service) intervention in a largely African American population with ADHF and explore its effects on self-management. METHODS: Hospitalized patients with ADHF were enrolled in an automated text message-based heart failure program for 30 days following discharge. Messages provided self-care reminders and patient education on diet, symptom recognition, and health care navigation. Demographic and cell phone usage data were collected on enrollment, and an exit survey was administered on completion. The Self-Care of Heart Failure Index (SCHFI) was administered preintervention and postintervention and compared using sample t tests (composite) and Wilcoxon rank sum tests (individual). Clinical data were collected through chart abstraction. RESULTS: Of 51 patients approached for recruitment, 27 agreed to participate and 15 were enrolled (14 African-American, 1 White). Barriers to enrollment included not owning a personal cell phone (n=12), failing the Mini-Mental exam (n=3), needing a proxy (n=2), hard of hearing (n=1), and refusal (n=3). Another 3 participants left the study for health reasons and 3 others had technology issues. A total of 6 patients (5 African-American, 1 White) completed the postintervention surveys. The mean age was 50 years (range 23-69) and over half had Medicaid or were uninsured (60%, 9/15). The mean ejection fraction for those with systolic dysfunction was 22%, and at least two-thirds had a prior hospitalization in the past year. Participants strongly agreed that the program was easy to use (83%), reduced pills missed (66%), and decreased salt intake (66%). Maintenance (mean composite score 49 to 78, P=.003) and management (57 to 86, P=.002) improved at 4 weeks, whereas confidence did not change (57 to 75, P=.11). Of the 6 SCHFI items that showed a statistically significant improvement, 5 were specifically targeted by the texting intervention. CONCLUSIONS: Over half of ADHF patients in an urban, largely African American community were eligible and interested in participating in a text messaging program following discharge. Access to mobile phones was a significant barrier that should be addressed in future interventions. Among the participants who completed the study, we observed a high rate of satisfaction and preliminary evidence of improvements in heart failure self-management. AUTHORS' ABSTRACT: Livingston et al. 2013 (IEEE #5607): BACKGROUND: Telephone surveys based on samples of landline telephone numbers are widely used to measure the prevalence of health risk behaviours such as smoking, drug use and alcohol consumption. An increasing number of households are relying solely on mobile telephones, creating a potential bias for population estimates derived from landline-based sampling frames which do not incorporate mobile phone numbers. Studies in the US have identified significant differences between landline and mobile telephone users in smoking and alcohol consumption, but there has been little work in other settings or focussed on illicit drugs. METHODS: This study examined Australian prevalence estimates of cannabis use, tobacco smoking and risky alcohol consumption based on samples selected using a dual-frame (mobile and landline) approach. Respondents from the landline sample were compared both to the overall mobile sample (including respondents who had access to a landline) and specifically to respondents who lived in mobile-only households. Bivariate comparisons were complemented with multivariate logistic regression models, controlling for the effects of basic demographic variables. RESULTS: The landline sample reported much lower prevalence of tobacco use, cannabis use and alcohol consumption than the mobile samples. Once demographic variables were adjusted for, there were no significant differences between the landline and mobile respondents on any of the alcohol measures examined. In contrast, the mobile samples had significantly higher rates of cannabis and tobacco use, even after adjustment. Weighted estimates from the dual-frame sample were generally higher than the landline sample across all substances, but only significantly higher for tobacco use. CONCLUSIONS: Landline telephone surveys in Australia are likely to substantially underestimate the prevalence of tobacco smoking by excluding potential respondents who live in mobile-only households. In contrast, estimates of alcohol consumption and cannabis use from landline surveys are likely to be broadly accurate, once basic demographic weighting is undertaken. AUTHORS' ABSTRACT: Nundy et al. 2013 (IEEE #5608): OBJECTIVES: Behavioral models for mobile phone-based diabetes interventions are lacking. This study explores the potential mechanisms by which a text message-based diabetes program affected self-management among African-Americans. METHODS: We conducted in-depth, individual interviews among 18 African-American patients with type 2 diabetes who completed a 4-week text message-based diabetes program. Each interview was audio-taped, transcribed verbatim, and imported into Atlas.ti software. Coding was done iteratively. Emergent themes were mapped onto existing behavioral constructs and then used to develop a novel behavioral model for mobile phone-based diabetes self-management programs. RESULTS: The effects of the text message-based program went beyond automated reminders. The constant, daily communications reduced denial of diabetes and reinforced the importance of self-management (Rosenstock Health Belief Model). Responding positively to questions about self-management increased mastery experience (Bandura Self-Efficacy). Most surprisingly, participants perceived the automated program as a "friend" and "support group" that monitored and supported their self-management behaviors (Barrera Social Support). CONCLUSIONS: A mobile phone-based diabetes program affected self-management through multiple behavioral constructs including health beliefs, self-efficacy, and social support. PRACTICE IMPLICATIONS: Disease management programs that utilize mobile technologies should be designed to leverage existing models of behavior change and can address barriers to self-management associated with health disparities. AUTHORS' ABSTRACT: Wu et al. 2013 (IEEE #5609): BACKGROUND: Effective clinical communication is critical to providing high-quality patient care. Hospitals have used different types of interventions to improve communication between care teams, but there have been few studies of their effectiveness. OBJECTIVES: To describe the effects of different communication interventions and their problems. DESIGN: Prospective observational case study using a mixed methods approach of quantitative and qualitative methods. SETTING: General internal medicine (GIM) inpatient wards at five tertiary care academic teaching hospitals. PARTICIPANTS: Clinicians consisting of residents, attending physicians, nurses, and allied health (AH) staff working on the GIM wards. METHODS: Ethnographic methods and interviews with clinical staff (doctors, nurses, medical students, and AH professionals) were conducted over a 16-month period from 2009 to 2010. RESULTS: We identified four categories that described the intended and unintended consequences of communication interventions: impacts on senders, receivers, interprofessional collaboration, and the use of informal communication processes. The use of alphanumeric pagers, smartphones, and web-based communication systems had positive effects for senders and receivers, but unintended consequences were seen with all interventions in all four categories. CONCLUSIONS: Interventions that aimed to improve clinical communications solved some but not all problems, and unintended effects were seen with all systems. AUTHORS' ABSTRACT: Wu et al. 2012 (IEEE #5618): OBJECTIVE: To conduct a systematic review of the literature to identify, describe and assess interventions of information and communication technology on the processes of communication and associated patient outcomes within hospital settings. MATERIALS AND METHODS: Studies published from the years 1996 to 2010 were considered and were selected if they described an evaluation of information and communication technology interventions to improve clinical communication within hospitals. Two authors abstracted data from full text articles, and the quality of individual articles were appraised. Results of interventions were summarized by their effect. RESULTS: There were 18 identified studies that evaluated the use of interventions that included alphanumeric paging, hands-free communication devices, mobile phones, smartphones, task management systems and a display based paging system. Most quantitative studies used a before and after study design and were of lower quality. Of all the studies, there was only one prospective randomized study, but this study used only simulated communication events. Quantitative studies identified improved perceptions of communication and some improvement in communication metrics. Qualitative studies described improvements in efficiency of communication but also issues of loss of control and reliability. CONCLUSIONS: Despite the rapid advancement in information and communications technology over the last decade, there is limited evidence suggesting improvements in the ability of health professionals to communicate effectively. Given the critical nature of communication, we advocate further evaluation of information and communication technology designed to improve communication between clinicians. Outcome measures should include measures of patient-oriented outcomes and efficiency for clinicians. AUTHORS' ABSTRACT: da Costa et al. 2012 (IEEE #5620): OBJECTIVE: To assess whether a warning system based on mobile SMS messages increases the adherence of HIV-infected Brazilian women to antiretroviral drug-based treatment regimens and their impressions and satisfaction with respect to incoming messages. DESIGN: A randomized controlled trial was conducted from May 2009 to April 2010 with HIV-infected Brazilian women. All participants (n=21) had a monthly multidisciplinary attendance; each participant was followed over a 4-month period, when adherence measures were obtained. Participants in the intervention group (n=8) received SMS messages 30 min before their last scheduled time for a dose of medicine during the day. The messages were sent every Saturday and Sunday and on alternate days during the working week. Participants in the control group (n=13) did not receive messages. MEASUREMENTS: Self-reported adherence, pill counting, microelectronic monitors (MEMS) and an interview about the impressions and satisfaction with respect to incoming messages. RESULTS: The HIV Alert System (HIVAS) was developed over 7 months during 2008 and 2009. After the study period, self-reported adherence indicated that 11 participants (84.62%) remained compliant in the control group (adherence exceeding 95%), whereas all 8 participants in the intervention group (100.00%) remained compliant. In contrast, the counting pills method indicated that the number of compliant participants was 5 (38.46%) for the control group and 4 (50.00%) for the intervention group. Microelectronic monitoring indicated that 6 participants in the control group (46.15%) were adherent during the entire 4-month period compared to 6 participants in the intervention group (75.00%). According to the feedback of the 8 participants who completed the research in the intervention group, along with the feedback of 3 patients who received SMS for less than 4 months, that is, did not complete the study, 9 (81.81%) believed that the SMS messages aided them in treatment adherence, and 10 (90.90%) responded that they would like to continue receiving SMS messages. AUTHORS' ABSTRACT: Lester et al. 2010 (IEEE #5623) BACKGROUND: Mobile (cell) phone communication has been suggested as a method to improve delivery of health services. However, data on the effects of mobile health technology on patient outcomes in resource-limited settings are limited. We aimed to assess whether mobile phone communication between health-care workers and patients starting antiretroviral therapy in Kenya improved drug adherence and suppression of plasma HIV-1 RNA load. METHODS: WelTel Kenya1 was a multisite randomised clinical trial of HIV-infected adults initiating antiretroviral therapy (ART) in three clinics in Kenya. Patients were randomised (1:1) by simple randomisation with a random number generating program to a mobile phone short message service (SMS) intervention or standard care. Patients in the intervention group received weekly SMS messages from a clinic nurse and were required to respond within 48 h. Randomisation, laboratory assays, and analyses were done by investigators masked to treatment allocation; however, study participants and clinic staff were not masked to treatment. Primary outcomes were self-reported ART adherence (>95% of prescribed doses in the past 30 days at both 6 and 12 month follow-up visits) and plasma HIV-1 viral RNA load suppression (<400 copies per mL) at 12 months. The primary analysis was by intention to treat. This trial is registered with ClinicalTrials.gov, NCT00830622. FINDINGS: Between May, 2007, and October, 2008, we randomly assigned 538 participants to the SMS intervention (n=273) or to standard care (n=265). Adherence to ART was reported in 168 of 273 patients receiving the SMS intervention compared with 132 of 265 in the control group (relative risk [RR] for non-adherence 0·81, 95% CI 0·69-0·94; p=0·006). Suppressed viral loads were reported in 156 of 273 patients in the SMS group and 128 of 265 in the control group, (RR for virologic failure 0·84, 95% CI 0·71-0·99; p=0·04). The number needed to treat (NNT) to achieve greater than 95% adherence was nine (95% CI 5·0-29·5) and the NNT to achieve viral load suppression was 11 (5·8-227·3). INTERPRETATION: Patients who received SMS support had significantly improved ART adherence and rates of viral suppression compared with the control individuals. Mobile phones might be effective tools to improve patient outcome in resource-limited settings. AUTHORS' ABSTRACT: Verhoeven et al. 2010 (IEEE #5635): AIM: A systematic literature review, covering publications from 1994 to 2009, was carried out to determine the effects of teleconsultation regarding clinical, behavioral, and care coordination outcomes of diabetes care compared to usual care. Two types of teleconsultation were distinguished: (1) asynchronous teleconsultation for monitoring and delivering feedback via email and cell phone, automated messaging systems, or other equipment without face-to-face contact; and (2) synchronous teleconsultation that involves real-time, face-to-face contact (image and voice) via videoconferencing equipment (television, digital camera, webcam, videophone, etc.) to connect caregivers and one or more patients simultaneously, e.g., for the purpose of education. METHODS: Electronic databases were searched for relevant publications about asynchronous and synchronous tele-consultation [Medline, Picarta, Psychinfo, ScienceDirect, Telemedicine Information Exchange, Institute for Scientific Information Web of Science, Google Scholar]. Reference lists of identified publications were hand searched. The contribution to diabetes care was examined for clinical outcomes [e.g., hemoglobin A1c (HbA1c), dietary values, blood pressure, quality of life], for behavioral outcomes (patient-caregiver interaction, self-care), and for care coordination outcomes (usability of technology, cost-effectiveness, transparency of guidelines, equity of access to care). Randomized controlled trials with HbA1c as an outcome were pooled using standard meta-analytical methods. RESULTS: Of 2060 publications identified, 90 met inclusion criteria for electronic communication between (groups of) caregivers and patients with type 1 and 2 or gestational diabetes. Studies that evaluated teleconsultation not particularly aimed at diabetes were excluded, as were those that described interventions aimed solely at clinical improvements (e.g., HbA1c or lipid profiles). In 63 of 90 interventions, the interaction had an asynchronous teleconsultation character, in 18 cases interaction was synchronously (videoconferencing), and 9 involved a combination of synchronous with asynchronous interaction. Most of the reported improvements concerned clinical values (n = 49), self-care (n = 46), and satisfaction with technology (n = 43). A minority of studies demonstrated improvements in patient-caregiver interactions (n = 28) and cost reductions (n = 27). Only a few studies reported enhanced quality of life (n = 12), transparency of health care (n = 7), and improved equity in care delivery (n = 4). Asynchronous and synchronous applications appeared to differ in the type of contribution they made to diabetes care compared to usual care: asynchronous applications were more successful in improving clinical values and self-care, whereas synchronous applications led to relatively high usability of technology and cost reduction in terms of lower travel costs for both patients and care providers and reduced unscheduled visits compared to usual care. The combined applications (n = 9) scored best according to quality of life (22.2%). No differences between synchronous and asynchronous teleconsultation could be observed regarding the positive effect of technology on the quality of patient-provider interaction. Both types of applications resulted in intensified contact and increased frequency of transmission of clinical values with respect to usual care. Fifteen of the studies contained HbA1c data that permitted pooling. There was significant statistical heterogeneity among the pooled randomized controlled trials (chi(2) = 96.46, P < 0.001). The pooled reduction in HbA1c was not statically significant (weighted mean difference -0.10; 95% confidence interval -0.39 to 0.18). CONCLUSION: The included studies suggest that both synchronous and asynchronous teleconsultations for diabetes care are feasible, cost-effective, and reliable. However, it should be noted that many of the included studies showed no significant differences between control (usual care) and intervention groups. This might be due to the diversity and lack of quality in study designs (e.g., inaccurate or incompletely reported sample size calculations). Future research needs quasi-experimental study designs and a holistic approach that focuses on multilevel determinants (clinical, behavioral, and care coordination) to promote self-care and proactive collaborations between health care professionals and patients to manage diabetes care. Also, a participatory design approach is needed in which target users are involved in the development of cost-effective and personalized interventions. Currently, too often technology is developed within the scope of the existing structures of the health care system. Including patients as part of the design team stimulates and enables designers to think differently, unconventionally, or from a new perspective, leading to applications that are better tailored to patients' needs. AUTHORS'S ABSTRACT: Cole-Lewis and Kershaw 2010 (IEEE #5642): Mobile phone text messaging is a potentially powerful tool for behavior change because it is widely available, inexpensive, and instant. This systematic review provides an overview of behavior change interventions for disease management and prevention delivered through text messaging. Evidence on behavior change and clinical outcomes was compiled from randomized or quasi-experimental controlled trials of text message interventions published in peer-reviewed journals by June 2009. Only those interventions using text message as the primary mode of communication were included. Study quality was assessed by using a standardized measure. Seventeen articles representing 12 studies (5 disease prevention and 7 disease management) were included. Intervention length ranged from 3 months to 12 months, none had long-term follow-up, and message frequency varied. Of 9 sufficiently powered studies, 8 found evidence to support text messaging as a tool for behavior change. Effects exist across age, minority status, and nationality. Nine countries are represented in this review, but it is problematic that only one is a developing country, given potential benefits of such a widely accessible, relatively inexpensive tool for health behavior change. Methodological issues and gaps in the literature are highlighted, and recommendations for future studies are provided. AUTHORS' ABSTRACT: Sirriyeh et al. 2010 (IEEE #5643): OBJECTIVE: The present study attempts to develop and pilot the feasibility and efficacy of a novel intervention using affective messages as a strategy to increase physical activity (PA) levels in adolescents. Design An exploratory pilot randomized control trial was used to compare behaviour change over 2 weeks. A modified form of the International Physical Activity Questionnaire was used to assess PA behaviour. A total of 120 adolescents (16-19 years) from 4 sixth forms in West Yorkshire completed the field-based study. METHOD: Participants were randomly assigned to one of three experimental conditions, or the control condition (N=28). Participants in experimental conditions received 1 short messaging service (SMS) text message per day over the 2 weeks, which included manipulations of either affective beliefs (enjoyable/unenjoyable; N=31), instrumental beliefs (beneficial/harmful; N=30), or a combination of these (N=31). Control participants received one SMS text message per week. Outcomes were measured at baseline and at the end of the 2 week intervention. RESULTS: PA levels increased by the equivalent of 31.5 minutes of moderate (four metabolic equivalent) activity per week during the study. Main effects of condition (p=.049), and current physical activity level (p=.002) were identified, along with a significant interaction between condition and current activity level (p=.006). However, when the sample was split at baseline into active and inactive participants, a main effect of condition remained for inactive participants only (p=.001). Post hoc analysis revealed that inactive participants who received messages targeting affective beliefs increased their activity levels significantly more than the instrumental (p=.012), combined (p=.002), and control groups (p=.018). CONCLUSION: Strategies based on affective associations may be more effective for increasing PA levels in inactive individuals. AUTHORS' ABSTRACT: Hardy et al. 2011 (IEEE #5644): Adherence to antiretroviral therapy (ART) represents one of the strongest predictors of progression to AIDS, yet it is difficult for most patients to sustain high levels of adherence. This study compares the efficacy of a personalized cell phone reminder system (ARemind) in enhancing adherence to ART versus a beeper. Twenty-three HIV-infected subjects on ART with self-reported adherence less than 85% were randomized to a cellular phone (CP) or beeper (BP). CP subjects received personalized text messages daily; in contrast, BP subjects received a reminder beep at the time of dosing. Interviews were scheduled at weeks 3 and 6. Adherence to ART was measured by self-report (SR, 7-day recall), pill count (PC, past 30 days at baseline, then past 3 weeks), Medication Event Monitoring System (MEMS; cumulatively at 3 and 6 weeks), and via a composite adherence score constructed by combining MEMS, pill count, and self report. A mixed effects model adjusting for baseline adherence was used to compare adherence rates between the intervention groups at 3 and 6 weeks. Nineteen subjects completed all visits, 10 men and 9 females. The mean age was 42.7 ± 6.5 years, 37% of subjects were Caucasian and 89% acquired HIV heterosexually. The average adherence to ART was 79% by SR and 65% by PC at baseline in both arms; over 6 weeks adherence increased and remained significantly higher in the ARemind group using multiple measures of adherence. A larger and longer prospective study is needed to confirm these findings and to better understand optimal reminder messages and user fatigue. AUTHORS' TEXT (p 5220) Tutkin et al. 2014 (IEEE #5745): "They said that each talk lasted the least median 3 (1-14) minutes and the most median 10 (1-14) minutes, moreover, 89.4% of them said that they left mobile phones on at nights and 38.9% of these said they kept their mobile phones on bedside...Thirty eight percent of them said that they used a mobile phone while driving... While 1.0% of the students know the SAR value of their phones, 16% of them know the meaning of specific absorption rate (SAR) and 20.4% of them care for the SAR value while buying a phone. SAR is a highly important concept. The amount of microwave energy absorbed by the user is described by the SAR." AUTHORS' ABSTRACT: Kam et al. 2016 (IEEE #6753): Purpose: In this study, the authors evaluated the effect of personalized amplification on mobile phone speech recognition in people with and
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.