Search

A new breed of notebooks is taking data visualization and collaborative functionality to the next level, with spreadsheet simplicity. A new breed of notebooks is taking data visualization and collaborative functionality to the next level, with spreadsheet simplicity.

Health care delivery is being transformed by the use of computer technology, and integrated physical health with mental and behavioral health care are national priorities. This study examined the basic computer skills and computer preferences of inner-city hospitalized medical patients in a design study of a web-based alcohol screening and brief intervention program prototype. Participants were 26 patients observed going through the program prototype using both a laptop computer and mouse, and an iPad. The majority of patients were able to do all the basic laptop and basic iPad skills to complete the program prototype, including older patients (aged 50 years or older) and patients with a high school degree or less. Patient computer preference was 3:1 for the use of an iPad versus a laptop computer, and the majority of patients preferred to complete a web-based versus an in-person brief intervention health program. Inner-city hospitalized medical patients appear able to complete and may be receptive to web-based alcohol screening and brief intervention programs.

Objective The purpose of this study was to evaluate the comparability of National Institutes of Health Toolbox Cognitive Battery test scores across iPad application and web-based personal computer administration platforms. Original test norms were developed using a personal computer-based administration and no previous studies assessing platform comparability have been published. Method Participants (N = 62; final analyzed sample n = 49) were combat-exposed post-deployment veterans without neurologic disorder, severe mental illness, current substance use disorder, or a history of moderate or severe traumatic brain injury. All participants completed both iPad and web-based versions of tests on the same day in an experimental within-subjects crossover design. Standalone validity measures were incorporated to exclude invalid performance. Outcome measures included the Dimensional Change Card Sort Test, Flanker Inhibitory Control and Attention Test, List Sorting Working Memory Test, and Pattern Comparison Processing Speed Test. Results Score differences between platforms were found on the Flanker Inhibitory Control and Attention Test. Scores were moderately correlated across tests, with the exception of low correlations for the Pattern Comparison Processing Speed Test. Most participants preferred iPad to web administration, regardless of administration order. Conclusions Results suggest caution when interpreting iPad-acquired scores, particularly for the Flanker Inhibitory Control and Attention Test. iPad-based testing offers valuable improvements; however, the development of iPad-specific norms may be necessary to ensure valid interpretation of acquired data.

At the Nutrition and Physical Activity Research Centre for Optimal Health and Functionality through Life (NUPARC), a research gap was uncovered regarding the concept optimal functionality based on the older adult’s own perspective. The overall aim was to explore the concept of optimal functionality among older adults and the possibility of creating and developing an ICT-platform to measure it. Method: An existing cohort from NUPARC was used for recruitment in studies I-III and to some extent study IV. A scoping study design and framework was adopted for the inclusion of the articles in Study I. Study II had a descriptive design. Six focus group discussions were conducted and analysed using qualitative deductive content analysis to extend the qualitative understanding. Study III used a phenomenological approach describing the experience of mental health and its impact on the ability to function as optimally as possible. Six interviews were analysed using Giorgi’s phenomenological approach. Study IV was a feasibility study and included 8 older adults using an ICTplatform for a period of four weeks. Results: Optimal Functionality comprises three major corner stones: Body-related factors, Self-related factors and External factors (I) accompanied by nine aspects, and according to older adults it is a matter of functioning as optimally as possible (II). The three major cornerstones are intricately linked and all but the mental aspects were included in the discussions (II). Life situations affecting mental health, consequences of mental health and strategies for maintaining good mental health were described by older adults as having an impact on mental health and affecting their ability to function as optimally as possible (III). The older adults managed the usage of an ICT-tool well and it was perceived as meaningful (IV). Conclusion: Optimal functionality is holistic, subjective, dynamic and applicable to all older adults. Identification of the factors involved can help the older adults on their path to health. An ICT-platform can facilitate the identification of the factors for optimal functionality and the eventual measurement of it.

OBJECTIVE To explore differences in baseline King-Devick Test (KD) completion time between 2 testing modalities: (1) spiral-bound paper cards (cards) and (2) iPad application (iPad). DESIGN Cross-sectional cohort analysis. SETTING National Collegiate Athlete Association (NCAA) institutions. PARTICIPANTS Student athletes from 13 women's and 11 men's collegiate sports who completed KD baseline testing as part of their first year in the Concussion Assessment, Research and Education (CARE) Consortium from 2014 to 2016 (n = 2003, 52.2% male). INDEPENDENT VARIABLES King-Devick Test modalities; cards or iPad. MAIN OUTCOME MEASURE Baseline KD completion time (seconds). RESULTS Mean baseline KD completion time of the iPad modality group [42.8 seconds, 95% confidence interval (CI), 42.1-43.3] was 2.8 seconds (95% CI, 2.1-3.4) greater than the cards group (40.0 seconds, 95% CI, 39.7-40.3) (t(1, 1010.7) = -8.0, P < 0.001, Cohen's d = 0.41). CONCLUSIONS Baseline KD performance is slower when tested on an iPad than when tested on spiral-bound paper cards. The 2 KD modalities should not be used interchangeably in concussion assessments because differences in the modalities can lead to time differences similar in magnitude to those used to indicate concussion. From a research perspective, modality may influence interpretation and/or synthesis of findings across studies.

Diffuse Correlation Spectroscopy (DCS) is a well-established optical technique that has been used for non-invasive measurement of blood flow in tissues. Instrumentation for DCS includes a correlation device that computes the temporal intensity autocorrelation of a coherent laser source after it has undergone diffuse scattering through a turbid medium. Typically, the signal acquisition and its autocorrelation are performed by a correlation board. These boards have dedicated hardware to acquire and compute intensity autocorrelations of rapidly varying input signal and usually are quite expensive. Here we show that a Raspberry Pi minicomputer can acquire and store a rapidly varying time-signal with high fidelity. We show that this signal collected by a Raspberry Pi device can be processed numerically to yield intensity autocorrelations well suited for DCS applications. DCS measurements made using the Raspberry Pi device were compared to those acquired using a commercial hardware autocorrelation board to investigate the stability, performance, and accuracy of the data acquired in controlled experiments. This paper represents a first step toward lowering the instrumentation cost of a DCS system and may offer the potential to make DCS become more widely used in biomedical applications., Radiation Monitoring Devices, Inc.

BACKGROUND: Excessive alcohol use contributes significantly to physical and psychological illness, injury and death, and a wide array of social harm in all age groups. A proven strategy for reducing excessive alcohol consumption levels is to offer a brief conversation-based intervention in primary care settings, but more recent technological innovations have enabled people to interact directly via computer, mobile device or smartphone with digital interventions designed to address problem alcohol consumption.OBJECTIVES: To assess the effectiveness and cost-effectiveness of digital interventions for reducing hazardous and harmful alcohol consumption, alcohol-related problems, or both, in people living in the community, specifically: (i) Are digital interventions more effective and cost-effective than no intervention (or minimal input) controls? (ii) Are digital interventions at least equally effective as face-to-face brief alcohol interventions? (iii) What are the effective component behaviour change techniques (BCTs) of such interventions and their mechanisms of action? (iv) What theories or models have been used in the development and/or evaluation of the intervention? Secondary objectives were (i) to assess whether outcomes differ between trials where the digital intervention targets participants attending health, social care, education or other community-based settings and those where it is offered remotely via the internet or mobile phone platforms; (ii) to specify interventions according to their mode of delivery (e.g. functionality features) and assess the impact of mode of delivery on outcomes.SEARCH METHODS: We searched CENTRAL, MEDLINE, PsycINFO, CINAHL, ERIC, HTA and Web of Knowledge databases; ClinicalTrials.com and WHO ICTRP trials registers and relevant websites to April 2017. We also checked the reference lists of included trials and relevant systematic reviews.SELECTION CRITERIA: We included randomised controlled trials (RCTs) that evaluated the effectiveness of digital interventions compared with no intervention or with face-to-face interventions for reducing hazardous or harmful alcohol consumption in people living in the community and reported a measure of alcohol consumption.DATA COLLECTION AND ANALYSIS: We used standard methodological procedures expected by The Cochrane Collaboration.MAIN RESULTS: We included 57 studies which randomised a total of 34,390 participants. The main sources of bias were from attrition and participant blinding (36% and 21% of studies respectively, high risk of bias). Forty one studies (42 comparisons, 19,241 participants) provided data for the primary meta-analysis, which demonstrated that participants using a digital intervention drank approximately 23 g alcohol weekly (95% CI 15 to 30) (about 3 UK units) less than participants who received no or minimal interventions at end of follow up (moderate-quality evidence).Fifteen studies (16 comparisons, 10,862 participants) demonstrated that participants who engaged with digital interventions had less than one drinking day per month fewer than no intervention controls (moderate-quality evidence), 15 studies (3587 participants) showed about one binge drinking session less per month in the intervention group compared to no intervention controls (moderate-quality evidence), and in 15 studies (9791 participants) intervention participants drank one unit per occasion less than no intervention control participants (moderate-quality evidence).Only five small studies (390 participants) compared digital and face-to-face interventions. There was no difference in alcohol consumption at end of follow up (MD 0.52 g/week, 95% CI -24.59 to 25.63; low-quality evidence). Thus, digital alcohol interventions produced broadly similar outcomes in these studies. No studies reported whether any adverse effects resulted from the interventions.A median of nine BCTs were used in experimental arms (range = 1 to 22). 'B' is an estimate of effect (MD in quantity of drinking, expressed in g/week) per unit increase in the BCT, and is a way to report whether individual BCTs are linked to the effect of the intervention. The BCTs of goal setting (B -43.94, 95% CI -78.59 to -9.30), problem solving (B -48.03, 95% CI -77.79 to -18.27), information about antecedents (B -74.20, 95% CI -117.72 to -30.68), behaviour substitution (B -123.71, 95% CI -184.63 to -62.80) and credible source (B -39.89, 95% CI -72.66 to -7.11) were significantly associated with reduced alcohol consumption in unadjusted models. In a multivariable model that included BCTs with B > 23 in the unadjusted model, the BCTs of behaviour substitution (B -95.12, 95% CI -162.90 to -27.34), problem solving (B -45.92, 95% CI -90.97 to -0.87), and credible source (B -32.09, 95% CI -60.64 to -3.55) were associated with reduced alcohol consumption.The most frequently mentioned theories or models in the included studies were Motivational Interviewing Theory (7/20), Transtheoretical Model (6/20) and Social Norms Theory (6/20). Over half of the interventions (n = 21, 51%) made no mention of theory. Only two studies used theory to select participants or tailor the intervention. There was no evidence of an association between reporting theory use and intervention effectiveness.AUTHORS' CONCLUSIONS: There is moderate-quality evidence that digital interventions may lower alcohol consumption, with an average reduction of up to three (UK) standard drinks per week compared to control participants. Substantial heterogeneity and risk of performance and publication bias may mean the reduction was lower. Low-quality evidence from fewer studies suggested there may be little or no difference in impact on alcohol consumption between digital and face-to-face interventions.The BCTs of behaviour substitution, problem solving and credible source were associated with the effectiveness of digital interventions to reduce alcohol consumption and warrant further investigation in an experimental context.Reporting of theory use was very limited and often unclear when present. Over half of the interventions made no reference to any theories. Limited reporting of theory use was unrelated to heterogeneity in intervention effectiveness.

Background Cerebral palsy (CP) is a group of disorders of movement and posture that cause activity limitations. Due to the different motor problems these individuals encounter there is a need to offer rehabilitation programs that promote motor learning. Additionally, the understanding of the learning patterns of these individuals can help us attend to their learning needs to maximize their learning efficiency. Aims The present study aimed to add to the knowledge base in regards to motor learning and the contextual interference (CI) effect. Methods and procedures The study included 40 individuals with CP and 40 typically developing (TD) participants matched for age and gender with the CP group. Both groups were divided into 2 subgroups regarding the practice schedule (random or constant practice) of a manual maze test on the computer. The participants who performed in the constant practice schedule performed the same standard maze 30 times, while participants in the random practice schedule performed a total of 30 trials on 5 mazes with a different spatial layout including the standard maze. After 5 min of rest, retention was studied with a task in which all participants performed the standard maze. To examine the transfer effect, all participants also performed a maze with a new layout. Time of completion was registered in seconds for each trial. Outcomes and results The results showed that the performance was lower in individuals with CP compared to typically developing individuals. In addition, only the participants with CP showed a contextual interference effect, with performance after the random practice schedule being superior compared to participants who practiced with a constant practice schedule. Conclusions and implications Overall performance was lower in individuals with CP compared to individuals with TD. Additionally, both TD individuals and individuals with CP showed the contextual interference effect in the transfer phase, with the execution of random practice leading to better performance than constant practice. These findings provide important information to assist clinicians in developing rehabilitation programs for children with CP.

Background: Self-administered survey questionnaires are an important data collection tool in clinical practice, public health research and epidemiology. They are ideal for achieving a wide geographic coverage of the target population, dealing with sensitive topics and are less resource intensive than other data collection methods. These survey questionnaires can be delivered electronically, which can maximise the scalability and speed of data collection while reducing cost. In recent years, the use of apps running on consumer smart devices (i.e., smartphones and tablets) for this purpose has received considerable attention. However, variation in the mode of delivering a survey questionnaire could affect the quality of the responses collected. Objectives: To assess the impact that smartphone and tablet apps as a delivery mode have on the quality of survey questionnaire responses compared to any other alternative delivery mode: paper, laptop computer, tablet computer (manufactured before 2007), short message service (SMS) and plastic objects. Search methods: We searched MEDLINE, EMBASE, PsycINFO, IEEEXplore, Web of Science, CABI: CAB Abstracts, Current Contents Connect, ACM Digital, ERIC, Sociological Abstracts, Health Management Information Consortium, the Campbell Library and CENTRAL. We also searched registers of current and ongoing clinical trials such as ClinicalTrials.gov and the World Health Organization (WHO)International Clinical Trials Registry Platform. We also searched the grey literature in OpenGrey, Mobile Active and ProQuest Dissertation & Theses. Lastly, we searched Google Scholar and the reference lists of included studies and relevant systematic reviews. We performed all searches up to 12 and 13 April 2015. Selection criteria: We included parallel randomised controlled trials (RCTs), crossover trials and paired repeated measures studies that compared the electronic delivery of self-administered survey questionnaires via a smartphone or tablet app with any other delivery mode. We included data obtained from participants completing health-related self-administered survey questionnaire, both validated and non-validated. We also included data offered by both healthy volunteers and by those with any clinical diagnosis. We included studies that reported any of the following outcomes: data equivalence; data accuracy; data completeness; response rates; differences in the time taken to complete a survey questionnaire; differences in respondent’s adherence to the original sampling protocol; and acceptability to respondents of the delivery mode. We included studies that were published in 2007 or after, as devices that became available during this time are compatible with the mobile operating system (OS) framework that focuses on apps. Data collection and analysis: Two review authors independently extracted data from the included studies using a standardised form created for this systematic review in REDCap. They then compared their forms to reach consensus. Through an initial systematic mapping on the included studies, we identified two settings in which survey completion took place: controlled and uncontrolled. These settings differed in terms of (i) the location where surveys were completed, (ii) the frequency and intensity of sampling protocols, and (iii) the level of control over potential confounders (e.g., type of technology, level of help offered to respondents).We conducted a narrative synthesis of the evidence because a meta-analysis was not appropriate due to high levels of clinical and methodological diversity. We reported our findings for each outcome according to the setting in which the studies were conducted. Main results: We included 14 studies (15 records) with a total of 2275 participants; although we included only 2272 participants in the final analyses as there were missing data for three participants from one included study. Regarding data equivalence, in both controlled and uncontrolled settings, the included studies found no significant differences in the mean overall scores between apps and other delivery modes, and that all correlation coefficients exceeded the recommended thresholds for data equivalence. Concerning the time taken to complete a survey questionnaire in a controlled setting, one study found that an app was faster than paper, whereas the other study did not find a significant difference between the two delivery modes. In an uncontrolled setting, one study found that an app was faster than SMS. Data completeness and adherence to sampling protocols were only reported in uncontrolled settings. Regarding the former, an app was found to result in more complete records than paper, and in significantly more data entries than an SMS-based survey questionnaire. Regarding adherence to the sampling protocol, apps may be better than paper but no different from SMS. We identified multiple definitions of acceptability to respondents, with inconclusive results: preference; ease of use; willingness to use a delivery mode; satisfaction; effectiveness of the system informativeness; perceived time taken to complete the survey questionnaire; perceived benefit of a delivery mode; perceived usefulness of a delivery mode; perceived ability to complete a survey questionnaire; maximum length of time that participants would be willing to use a delivery mode; and reactivity to the delivery mode and its successful integration into respondents’ daily routine. Finally, regardless of the study setting, none of the included studies reported data accuracy or response rates. Authors’ conclusions: Our results, based on a narrative synthesis of the evidence, suggest that apps might not affect data equivalence as long as the intended clinical application of the survey questionnaire, its intended frequency of administration and the setting in which it was validated remain unchanged. There were no data on data accuracy or response rates, and findings on the time taken to complete a self-administered survey questionnaire were contradictory. Furthermore, although apps might improve data completeness, there is not enough evidence to assess their impact on adherence to sampling protocols. None of the included studies assessed how elements of user interaction design, survey questionnaire design and intervention design might influence mode effects. Those conducting research in public health and epidemiology should not assume that mode effects relevant to other delivery modes apply to apps running on consumer smart devices. Those conducting methodological research might wish to explore the issues highlighted by this systematic review.

Most educators consider note-taking a critical component of formal classroom learning. Advancements in technology such as tablet computers, mobile applications, and recorded lectures are altering classroom dynamics and affecting the way students compose and review class notes. These tools may improve a student’s ability to take notes, but they also may hinder learning. In an era of dynamic technology developments, it is important for educators to routinely examine and evaluate influences on formal and informal learning environments. This paper discusses key background literature on student note-taking, identifies recent trends and potential implications of mobile technologies on classroom note-taking and student learning, and discusses future directions for note-taking in the context of digitally enabled lifelong learning.