22,867 research outputs found

    Acquisition, Distribution and Perspectives of Healthcare Information in Complementary and Alternative Medicines (CAM)

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    Merged with duplicate record 10026.1/2500 on 06.20.2017 by CS (TIS)From April 2001 until September 2005 1 worked as a Pilkington research fellow at the Department of Complementary Medicine, University of Exeter, which in 2002 was integrated as a unit of the Peninsula Medical School. All the publications presented here have been carried out during my time of employment in this post at the Complementary Medicine Unit of the Peninsula Medical School in Exeter, United Kingdom. During the first few months of my research post in 2001 1 recognized the importance of the Internet as a tool to obtain healthcare information. Under the supervision of Professor Edzard Ernst, director of CAM, I carried out five Internet surveys, of which I collected and summarized the data and drafted the first version of the manuscripts, which were then finalized by Professor Ernst's comments: * Health risks over the Internet: advice offered by'medical herbalists' to a pregnant woman. * Reflexologists' responses to a patient with abdominal pain -a survey on Internet advice. * Internet advice by acupuncturists -a risk factor for cardiovascular patients? * Are asthma sufferers at risk when consulting chiropractors over the Internet? * Aspects of MMR / MMR vaccination advice over the Internet

    Children's Health: Evaluating the Impact of Digital Technology. Final Report for Sunderland City Council.

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    EXECUTIVE SUMMARY The Children’s Health project sponsored by the City of Sunderland Digital Challenge project examined the impact of providing health-focused digital technologies to children aged 11-15 years, in terms of their usage and requirements of such technologies, and their subsequent behavioural changes. The empirical study ran with three groups of six children over a period of seven weeks for each group. A console-based exercise game and an exercise-focused social website were used in the study and the focus was on opportunistic (unstructured/unplanned) exercise. The emergent findings are: ‱ Data collected about physical activity must be more extensive than simple step counts. ‱ Data collection technologies for activities must be ubiquitous but invisible. ‱ Social interaction via technology is expected; positive messages reinforcing attainments of goals are valued; negative feedback is seen as demotivating. ‱ participants were very open to sharing information (privacy was not a concern). ‱ Authority figures have a significant impact on restricting adolescents’ use of technologies. This document reports the how the study was conducted, analyses the findings and draws conclusions from these regarding how to use digital technologies to improve and/or maintain the physical activity levels of children throughout their adolescence and on into adulthood. The appendices provide the detailed (anonymised) data collected during the study and the background literature review

    Factors determining patients’ intentions to use point-of-care testing medical devices for self-monitoring: The case of international normalised ratio self-testing

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    This is an Open Access article which permits unrestricted noncommercial use, provided the original work is properly cited. - Copyright @ 2012 Dove Medical Press LtdThis article has been made available through the Brunel Open Access Publishing Fund.Purpose: To identify factors that determine patients' intentions to use point-of-care medical devices, ie, portable coagulometer devices for self-testing of the international normalized ratio (INR) required for ongoing monitoring of blood-coagulation intensity among patients on long-term oral anticoagulation therapy with vitamin K antagonists, eg, warfarin. Methods: A cross-sectional study that applied the technology-acceptance model through a self-completed questionnaire, which was administered to a convenience sample of 125 outpatients attending outpatient anticoagulation services at a district general hospital in London, UK. Data were analyzed using descriptive statistics, factor analyses, and structural equation modeling. Results: The participants were mainly male (64%) and aged ≄ 71 years (60%). All these patients were attending the hospital outpatient anticoagulation clinic for INR testing; only two patients were currently using INR self-testing, 84% of patients had no knowledge about INR self-testing using a portable coagulometer device, and 96% of patients were never offered the option of the INR self-testing. A significant structural equation model explaining 79% of the variance in patients’ intentions to use INR self-testing was observed. The significant predictors that directly affected patients' intention to use INR self-testing were the perception of technology (ÎČ = 0.92, P < 0.001), trust in doctor (ÎČ = −0.24, P = 0.028), and affordability (ÎČ = 0.15, P = 0.016). In addition, the perception of technology was significantly affected by trust in doctor (ÎČ = 0.43, P = 0.002), age (ÎČ = −0.32, P < 0.001), and affordability (ÎČ = 0.23, P = 0.013); thereby, the intention to use INR self-testing was indirectly affected by trust in doctor (ÎČ = 0.40), age (ÎČ = −0.29), and affordability (ÎČ = 0.21) via the perception of technology. Conclusion: Patients’ intentions to use portable coagulometers for INR self-testing are affected by patients' perceptions about the INR testing device, the cost of device, trust in doctors/clinicians, and the age of the patient, which need to be considered prior to any intervention involving INR self-testing by patients. Manufacturers should focus on increasing the affordability of INR testing devices for patients’ self-testing and on the potential role of medical practitioners in supporting use of these medical devices as patients move from hospital to home testing.This study is funded by the Multidisciplinary Assessment of Technology Centre for Healthcare (MATCH) program (EPSRC grant EP/GO12393/1)

    Ono: an open platform for social robotics

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    In recent times, the focal point of research in robotics has shifted from industrial ro- bots toward robots that interact with humans in an intuitive and safe manner. This evolution has resulted in the subfield of social robotics, which pertains to robots that function in a human environment and that can communicate with humans in an int- uitive way, e.g. with facial expressions. Social robots have the potential to impact many different aspects of our lives, but one particularly promising application is the use of robots in therapy, such as the treatment of children with autism. Unfortunately, many of the existing social robots are neither suited for practical use in therapy nor for large scale studies, mainly because they are expensive, one-of-a-kind robots that are hard to modify to suit a specific need. We created Ono, a social robotics platform, to tackle these issues. Ono is composed entirely from off-the-shelf components and cheap materials, and can be built at a local FabLab at the fraction of the cost of other robots. Ono is also entirely open source and the modular design further encourages modification and reuse of parts of the platform

    Why Do Developers Get Password Storage Wrong? A Qualitative Usability Study

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    Passwords are still a mainstay of various security systems, as well as the cause of many usability issues. For end-users, many of these issues have been studied extensively, highlighting problems and informing design decisions for better policies and motivating research into alternatives. However, end-users are not the only ones who have usability problems with passwords! Developers who are tasked with writing the code by which passwords are stored must do so securely. Yet history has shown that this complex task often fails due to human error with catastrophic results. While an end-user who selects a bad password can have dire consequences, the consequences of a developer who forgets to hash and salt a password database can lead to far larger problems. In this paper we present a first qualitative usability study with 20 computer science students to discover how developers deal with password storage and to inform research into aiding developers in the creation of secure password systems

    Effect on smoking quit rate of telling patients their lung age: the Step2quit randomised controlled trial

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    Objective To evaluate the impact of telling patients their estimated spirometric lung age as an incentive to quit smoking.Design Randomised controlled trial.Setting Five general practices in Hertfordshire, England.Participants 561 current smokers aged over 35.Intervention All participants were offered spirometric assessment of lung function. Participants in intervention group received their results in terms of "lung age" (the age of the average healthy individual who would perform similar to them on spirometry). Those in the control group received a raw figure for forced expiratory volume at one second (FEV1). Both groups were advised to quit and offered referral to local NHS smoking cessation services.Main outcome measures The primary outcome measure was verified cessation of smoking by salivary cotinine testing 12 months after recruitment. Secondary outcomes were reported changes in daily consumption of cigarettes and identification of new diagnoses of chronic obstructive lung disease.Results Follow-up was 89%. Independently verified quit rates at 12 months in the intervention and control groups, respectively, were 13.6% and 6.4% (difference 7.2%, P=0.005, 95% confidence interval 2.2% to 12.1%; number needed to treat 14). People with worse spirometric lung age were no more likely to have quit than those with normal lung age in either group. Cost per successful quitter was estimated at 280 pound ((euro) 365, $556). A new diagnosis of obstructive lung disease was made in 17% in the intervention group and 14% in the control group; a total of 16% (89/561) of participants.Conclusion Telling smokers their lung age significantly improves the likelihood of them quitting smoking, but the mechanism by which this intervention achieves its effect is unclear.Trial registration National Research Register N0096173751
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