Users' guides to the medical literature. X. How to use an article reporting variations in the outcomes of health services. The Evidence-Based Medicine Working Group.
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Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.
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OBJECTIVE: Despite the proliferation of electronic information retrieval (IR) systems for physicians, their effectiveness has not been well assessed. The purpose of this review is to provide a conceptual framework and to apply the results of previous studies to this framework. DATA SOURCES: All sources of medical informatics and information science literature, including MEDLINE, along with bibliographies of textbooks in these areas, were searched from 1966 to January 1998. STUDY SELECTION: All articles presenting either classifications of evaluation studies or their results, with an emphasis on those studying use by physicians. DATA EXTRACTION: A framework for evaluation was developed, consisting of frequency of use, purpose of use, user satisfaction, searching utility, search failure, and outcomes. All studies were then assessed based on the framework. DATA SYNTHESIS: Due to the heterogeneity and simplistic study designs, no meta-analysis of studies could be done. General conclusions were drawn from data where appropriate. A total of 47 articles were found to include an evaluation component and were used to develop the framework. Of these, 21 articles met the inclusion criteria for 1 or more of the categories in the framework. Most use of IR systems by physicians still occurs with bibliographic rather than full-text databases. Overall use of IR systems occurs just 0.3 to 9 times per physician per month, whereas physicians have 2 unanswered questions for every 3 patients. CONCLUSIONS: Studies comparing IR systems with different searching features have not shown that advanced searching methods are significantly more effective than simple text word methods. Most searches retrieve only one fourth to one half of the relevant articles on a given topic and, once retrieved, little is known about how these articles are interpreted or applied. These studies imply that further research and development are needed to improve system utility and performance.
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The urological malignancies, renal, bladder and prostate cancer, account for approximately 16% of all cancer cases. Unfortunately 5-year survival rates are relatively poor, largely a result of many cases not being diagnosed before the tumour has metastasised. There is a clear need for the identification of markers which will allow earlier detection of disease, and predict prognosis and response to therapy. In addition, they may be of use as therapeutic targets. Current advances in molecular biology are allowing the identification of a number of tumour-associated changes which could be of clinical use in the future. However, with the rapid technological advances being made in the field of proteomics, this approach could be integrated with genomics providing a complementary alternative, overcoming disparities between mRNA levels and protein production, and additionally allowing the identification of tumour-associated post-translational modifications. These approaches have already been used to identify novel genes and other cancer-related changes involved in the pathogenesis of urological malignancies. This review describes current progress in the genomic and proteomic study of urological malignancies, and highlights the potential of using proteomic technologies in the study of this group of diseases.
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The purpose of this study was to use a health information network and innovative technology to coordinate tuberculosis care. An innercity medical center, a local health department, and a home care nurse service in northern Manhattan were used. The organizations were linked with computer networks. An automated decision support system with a natural language processor was used to detect tuberculosis cases and report them to the health department, and to select patients for respiratory isolation. Educational materials were placed on the World Wide Web and a Web-based kiosk. Home care nurses were outfitted with wireless pen-based computers, and data were relayed to the medical center. Automated tuberculosis case reporting resulted in time savings but not improved accuracy. Automated rules resulted in significant improvements in respiratory isolation. Kiosk educational materials were well-used. Wireless computing led to better access to information for both nurses and physicians, but not to reduction of workload. The key success element was recognition of critical priorities. It is concluded that innovative technology can facilitate the coordination of clinical care, public health, and home care.