For a specific query merging the returned results from multiple search engines, in theform of a metasearch aggregation, can provide significant improvement in the quality ofrelevant documents. This paper suggests a minimax linear programming (LP) formulation forfusion of multiple search engines results. The paper proposes a weighting method toinclude the importance weights of the underlying search engines. This is a two-phaseapproach which in the first phase a new method for computing the importance weights of thesearch engines is introduced and in the second stage a minimax LP model for findingrelevant search engines results is formulated. To evaluate the retrieval effectiveness ofthe suggested method, the 50 queries of the 2002 TREC Web track were utilized andsubmitted to three popular Web search engines called Ask, Bing and Google. The returnedresults were aggregated using two exiting approaches, three high-performance commercialWeb metasearch engines and our proposed technique. The efficiency of the generated listswas measured using TREC-Style Average Precision (TSAP). The new findings demonstrate thatthe suggested model improved the quality of merging considerably.

Background and Objectives: Horizon scanning systems need to handle a wide range of sources to identify new or emerging health technologies. The objective of this study is to develop a validated Medline bibliographic search strategy (PubMed search engine) to systematically identify new or emerging health technologies.

Methods: The proposed Medline search strategy combines free text terms commonly used in article titles to denote innovation within index terms that make reference to the specific fields of interest. Efficacy was assessed by running the search over a period of 1 year (2009) and analyzing its retrieval performance (number and characteristics). For comparison purposes, all article abstracts published during 2009 in six preselected key research journals and eight high impact surgery journals were scanned. Sensitivity was defined as the proportion of relevant new or emerging technologies published in key journals that would be identified in the search strategy within the first 2 years of publication.

Results: The search yielded 6,228 abstracts of potentially new or emerging technologies. Of these, 459 were classified as new or emerging (383 truly new or emerging and 76 new indications). The scanning of 12,061 journal abstracts identified 35 relevant new or emerging technologies. Of these, twenty-nine were located within the Medline search strategy during the first 2 years of publication (sensitivity = 83 percent).

Conclusions: The current search strategy, validated against key journals, has demonstrated to be effective for horizon scanning. Even though it can require adaptations depending on the scope of the horizon scanning system, it could serve to simplify and standardize scanning processes.

Objectives: This study aims to compare two different search methods for determining the scope of a requested systematic review or health technology assessment. The first method (called the Direct Search Method) included performing direct searches in the Cochrane Database of Systematic Reviews (CDSR), Database of Abstracts of Reviews of Effects (DARE) and the Health Technology Assessments (HTA). Using the comparison method (called the NHS Search Engine) we performed searches by means of the search engine of the British National Health Service, NHS Evidence.

Methods: We used an adapted cross-over design with a random allocation of fifty-five requests for systematic reviews. The main analyses were based on repeated measurements adjusted for the order in which the searches were conducted.

Results: The Direct Search Method generated on average fewer hits (48 percent [95 percent confidence interval {CI} 6 percent to 72 percent], had a higher precision (0.22 [95 percent CI, 0.13 to 0.30]) and more unique hits than when searching by means of the NHS Search Engine (50 percent [95 percent CI, 7 percent to 110 percent]). On the other hand, the Direct Search Method took longer (14.58 minutes [95 percent CI, 7.20 to 21.97]) and was perceived as somewhat less user-friendly than the NHS Search Engine (−0.60 [95 percent CI, −1.11 to −0.09]).

Conclusions: Although the Direct Search Method had some drawbacks such as being more time-consuming and less user-friendly, it generated more unique hits than the NHS Search Engine, retrieved on average fewer references and fewer irrelevant results.

Objective: To determine the access to and the use of the Internet by acoustic neuroma patients as a medical information source, and the influence of the Internet on decision-making, as well as the patients' views on the quality of particular sites.

Materials and methods: A retrospective 27-item questionnaire was sent to 138 consecutive acoustic neuroma patients diagnosed between 1997 and 2002. The study included patients treated by conservative, radiotherapeutic and surgical modalities.

Main outcome measures: Patient demographics, the extent of Internet use as well as quality and quantity of available information.

Results: There were 86.95 per cent questionnaires available for analysis. Twenty-four per cent accessed the Internet to obtain information about acoustic neuromas. Ninety-seven per cent of patients said that the information provided in the clinic matched with the information obtained from the websites, 49 per cent said that the information obtained from the Internet did not influence decision making regarding acceptance of treatment of their tumour. Some patients said the Internet information was depressing, devastating, and they would never look up the Internet again for medical information.

Conclusion: A significant proportion of our patients accessed the Internet for information. Caution should be exercised when advising patients regarding websites as the information on the Internet is often not controlled or checked for accuracy. Acoustic neuroma specialists and ENT surgeons in general should familiarize themselves with related websites so that patients can then be directed to high-quality sites.