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The United States was an early player in the telemedicine and telecare field due to progress made in telecommunications infrastructure in the late 1980s and early 1990s. This facility has been matched by generous R&D funding by both federal and state agencies as well as by NASA. The US Department of Defense programmes have been some of the best-funded telemedicine programmes in the world. These high levels of support have given the USA its global lead in telemedicine. The origins of the communications infrastructure can be traced back to the cold war period of the 1950s and 1960s with the introduction of the military s warning system, the Advanced Research Projects Agency Network (ARPANet) [22]. ARPANet eventually gave way to the National Science Foundation Network (NFSNET) serving the academic community until it too was replaced in 1995. Perhaps the key development for telemedicine. however, was the creation of a high-speed national communications network mandated by President Bush in 1991 with the signing of the High Performance Computing Act (1991) [23]. When the Democrats came to power in 1992, Vice President Gore pronounced his vision of an information superhighway and the concept was translated into policy as the National Information Infrastructure (NIT) [ I01 in 1994. NI1 identified telemedicine as a crucial health tool that would benefit from information technology [311]. The next significant advance was the Telecommunications Reform Act of 1996 [212], which was intended to increase competition among telephone providers, lower costs, and reduce regulation and bureaucracy.] Consumers are still apparently waiting for these benefits to become universally available. As part of the NI1 initiative, a Joint Working Group on Telemedicine (JWGT) was formed with representatives from several agencies [211]. The Telecommunications Reform Act requires this Group to submit reports to

Naylor quotes the example of a single study being the source for seven different publications These different publications of the same trial had different authorship which would make it more dif cult to identify that they all related to the same study Selection bias Unless the selection of papers for inclusion in the meta-analysis is done strictly using pre-set objective criteria this may be a source of bias Numerous examples of systematic reviews and meta-analyses are referred to throughout the rest of this book; just two examples are given below In 8 a systematic review and meta-analysis of the bene ts of Ginkgo biloba supplements for cognitive impairment and dementia indicated statistically signi cant improvements in the physicians assessments of the patients improvement and other outcome measures in those taking the supplements.

If you re working from a database, you can create relevant links by making sure that your site s URL variables contain names relevant to your site. Consider the following nonrelevant URL example:

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#include <deque> #include <vector> #include <ostream> #include <sstream> #include <stdexcept> #include <numeric> using namespace std;

In 7, meta-analyses of trials of glucosamine for treatment of osteoarthritis of the hip and knee up to 1999 indicate that when used for at least four weeks it does produce a moderate to large bene cial effect This study indicated a high probability of publication bias and the magnitude of the bene cial effects was reduced when only the larger and higher quality studies were used for the analysis Statistical signi cance and clinical signi cance Statistical analysis is used to estimate the probability that, for example, a difference between two sample means or an association between two variables could have occurred.

Fig. 6.12 Room sections showing simulated ventilation ef ciency contours. (a) Supply top left; extract top right (contaminant centre). (b) Supply top left; extract bottom right (contaminant centre). (Reprinted from Building and Environment, 38, Stewart, J. & Ren, Z., Prediction of indoor gaseous pollutant dispersion by nesting sub-zones within a multizone model, 635 43, (2003), with permission from Elsevier.)

Figure 16-9: If you want to use isolated frame borders, you have to carefully plan your Web page frameset to avoid overlapping borders.

The Live Data toolbar provides two refresh-oriented options: the Refresh Live Data button and the Auto Refresh checkbox. When Auto Refresh is enabled, formatting changes are automatically applied. However, to display HTML formatting on Repeat Region data or to see changes made to a data source, you must click the Refresh Live Data button.

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P1: JYS WY022-40