Opportunity for All: How the American Public Benefits From Internet Access at U.S. Libraries

Examines the use of free computer and Internet access in public libraries, by income level, age, race/ethnicity, and online activity. Explores libraries' role as a community resource for social media, education, employment, e-government, and other areas

Determinants of information behaviour and information literacy related to healthy eating among Internet users in five European countries

Introduction. This study investigates how Europeans seek information related to healthy eating, what determines their information seeking and whether any problems are encountered in doing so. Method. A survey was administered through computer-assisted on-line web-interviewing. Respondents were grouped by age and sex (n=3003, age + 16) in Belgium, Denmark, Italy, Poland, and the UK. Analysis. Descriptive statistics and regression analysis were used to analyse the influence of social, demographic, psychological and economic characteristics on the information seeking of the respondents. Results. Nearly half of those surveyed do not know where to look for information on healthy diets. Men, less well educated, poorer and sicker person know less about where to look for such information and are less likely to attempt finding it. Most of the respondents searching for information on the Internet use Google as a search tool. Conclusions. Individual and environmental factors affect information behaviour and should be taken into account in public campaigns aimed at changing eating habits of the population to increase their effectiveness. More emphasis should be placed on raising health information literacy of the information-poor, men, the uneducated, and the economically disadvantaged

Email for clinical communication between healthcare professionals

Background Email is a popular and commonly-used method of communication, but its use in healthcare is not routine. Where email communication has been utilised in health care, its purposes have included use for clinical communication between healthcare professionals, but the effects of using email in this way are not known. This review assesses the use of email for two-way clinical communication between healthcare professionals. Objectives To assess the effects of healthcare professionals using email to communicate clinical information, on healthcare professional outcomes, patient outcomes, health service performance, and service efficiency and acceptability, when compared to other forms of communicating clinical information. Search methods We searched: the Cochrane Consumers and Communication Review Group Specialised Register, Cochrane Central Register of Controlled Trials (CENTRAL, The Cochrane Library, Issue 1 2010), MEDLINE (OvidSP) (1950 to January 2010), EMBASE (OvidSP) (1980 to January 2010), PsycINFO (1967 to January 2010), CINAHL (EbscoHOST) (1982 to February 2010), and ERIC (CSA) (1965 to January 2010). We searched grey literature: theses/dissertation repositories, trials registers and Google Scholar (searched July 2010). We used additional search methods: examining reference lists, contacting authors. Selection criteria Randomised controlled trials, quasi-randomised trials, controlled before and after studies and interrupted time series studies examining interventions in which healthcare professionals used email for communicating clinical information, and that took the form of 1) unsecured email 2) secure email or 3) web messaging. All healthcare professionals, patients and caregivers in all settings were considered. Data collection and analysis Two authors independently assessed studies for inclusion, assessed the included studies' risk of bias, and extracted data. We contacted study authors for additional information. We report all measures as per the study report. Main results We included one randomised controlled trial involving 327 patients and 159 healthcare providers at baseline. It compared an email to physicians containing patient-specific osteoporosis risk information and guidelines for evaluation and treatment with usual care (no email). This study was at high risk of bias for the allocation concealment and blinding domains. The email reminder changed health professional actions significantly, with professionals more likely to provide guideline-recommended osteoporosis treatment (bone density measurement and/or osteoporosis medication) when compared with usual care. The evidence for its impact on patient behaviours/actions was inconclusive. One measure found that the electronic medical reminder message impacted patient behaviour positively: patients had a higher calcium intake, and two found no difference between the two groups. The study did not assess primary health service outcomes or harms. Authors' conclusions As only one study was identified for inclusion, the results are inadequate to inform clinical practice in regard to the use of email for clinical communication between healthcare professionals. Future research needs to use high-quality study designs that take advantage of the most recent developments in information technology, with consideration of the complexity of email as an intervention, and costs

Email for clinical communication between healthcare professionals

Email is one of the most widely used methods of communication, but its use in healthcare is still uncommon. Where email communication has been utilised in health care, its purposes have included clinical communication between healthcare professionals, but the effects of using email in this way are not well known. We updated a 2012 review of the use of email for two-way clinical communication between healthcare professionals

Using online linear classifiers to filter spam Emails

The performance of two online linear classifiers - the Perceptron and Littlestone’s Winnow – is explored for two anti-spam filtering benchmark corpora - PU1 and Ling-Spam. We study the performance for varying numbers of features, along with three different feature selection methods: Information Gain (IG), Document Frequency (DF) and Odds Ratio. The size of the training set and the number of training iterations are also investigated for both classifiers. The experimental results show that both the Perceptron and Winnow perform much better when using IG or DF than using Odds Ratio. It is further demonstrated that when using IG or DF, the classifiers are insensitive to the number of features and the number of training iterations, and not greatly sensitive to the size of training set. Winnow is shown to slightly outperform the Perceptron. It is also demonstrated that both of these online classifiers perform much better than a standard Naïve Bayes method. The theoretical and implementation computational complexity of these two classifiers are very low, and they are very easily adaptively updated. They outperform most of the published results, while being significantly easier to train and adapt. The analysis and promising experimental results indicate that the Perceptron and Winnow are two very competitive classifiers for anti-spam filtering

Internet addiction in students: prevalence and risk factors

The last decade has witnessed a large increase in research on the newly emerging mental health problem of Internet addiction. Rather than looking at Internet addiction per se, this study focused on particular activities on the Internet that might be potentially addictive and linked them to personality traits that might predispose individuals to Internet addiction. The aims of this study were (i) to assess the prevalence of clinically significant levels of Internet addiction, and to (ii) discern the interplay between personality traits and specific Internet uses in increasing the risk for Internet addiction. This cross-sectional online survey used data from 2,257 students of an English university. Results indicated that 3.2% of the students were classified as being addicted to the Internet. The included personality traits and uses of online activities explained 21.5% of the variance in Internet addiction. A combination of online shopping and neuroticism decreased the risk for Internet addiction, whereas a combination of online gaming and openness to experience increased it. In addition to this, frequent usage of online shopping and social online activities, high neuroticism and low agreeableness significantly increased the chances of being addicted to the Internet. Findings and their implications are discussed