The development of search filters for adverse effects of surgical interventions in medline and Embase

Background

Search filter development for adverse effects has tended to focus on retrieving studies of drug interventions. However, a different approach is required for surgical interventions.

Objective

To develop and validate search filters for medline and Embase for the adverse effects of surgical interventions.

Methods

Systematic reviews of surgical interventions where the primary focus was to evaluate adverse effect(s) were sought. The included studies within these reviews were divided randomly into a development set, evaluation set and validation set. Using word frequency analysis we constructed a sensitivity maximising search strategy and this was tested in the evaluation and validation set.

Results

Three hundred and fifty eight papers were included from 19 surgical intervention reviews. Three hundred and fifty two papers were available on medline and 348 were available on Embase. Generic adverse effects search strategies in medline and Embase could achieve approximately 90% relative recall. Recall could be further improved with the addition of specific adverse effects terms to the search strategies.

Conclusion

We have derived and validated a novel search filter that has reasonable performance for identifying adverse effects of surgical interventions in medline and Embase. However, we appreciate the limitations of our methods, and recommend further research on larger sample sizes and prospective systematic reviews.     

How to Do Things with Mouse Clicks: Applying Austin’s speech act theory to explain learning in virtual worlds

This article addresses learning in desktop virtual worlds where students role play for professional education. When students role play in such virtual worlds, they can learn some knowledge and skills that are useful in the physical world. However, existing learning theories do not provide a plausible explanation of how performing non-verbal virtual-world actions (e.g. performing a virtual chest examination in a virtual hospital) can lead to the learning of the physical world equivalent. Some theories are particularly implausible because they claim that students learn to perform physical world actions by acting on the virtual world in an embodied way. This is implausible because learning requires a high degree of correspondence between the learning performance and the target performance, and there is insufficient physical correspondence between the performance of a virtual-world action where students click on a mouse to make the avatar take actions and the physical-world equivalent where students perform the action with their own body. In this article, we use Austin’s speech act theory to provide a more plausible theory of learning in virtual worlds. We show how non-verbal virtual-world actions performed by avatars can function as performatives and as performatives, they can correspond sufficiently to physical world actions to explain how performing non-verbal virtual-world actions can lead to physical world learning.     

The performance of adverse effects search filters in MEDLINE and EMBASE

Background: Search filters can potentially improve the efficiency of searches involving electronic databases such as medline and embase . Although search filters have been developed for identifying records that contain adverse effects data, little is known about the sensitivity of such filters. Objectives: This study measured the sensitivity of using available adverse effects filters to retrieve papers with adverse effects data. Methods: A total of 233 included studies from 26 systematic reviews of adverse effects were used for analysis. Search filters from medline and embase were tested for their sensitivity in retrieving the records included in these reviews. In addition, the sensitivity of each individual search term used in at least one search filter was measured. Results: Subheadings proved the most useful search terms in both medline and embase . No indexing terms in medline achieved over 12% sensitivity. The sensitivity of published search filters varied in medline from 3% to 93% and in embase from 57% to 97%. Whether this level of sensitivity is acceptable will be dependent on the purpose of the search. Conclusions: Although no adverse effects search filter captured all the relevant records, high sensitivity could be achieved. Search filters may therefore be useful in retrieving adverse effects data.     

Sources of information on adverse effects: a systematic review

Background: Systematic reviews can provide accurate and timely information on adverse effects. An essential part of the systematic review process is a thorough search of the literature. This often requires searching many different sources. However, it is unclear which sources are most effective at providing information on adverse effects. Objective: To identify and summarise studies that have evaluated sources of information on adverse effects. Methods: Studies were located by searching in 10 databases as well as by reference checking, hand searching, citation searching and contacting experts. Results: A total of 6218 citations were retrieved yielding 19 studies which met the inclusion criteria. The included studies tended to focus on the adverse effects of drug interventions and compare the relative value of different sources using the number of relevant references retrieved from searches of each source. However, few studies were conducted recently with a large sample of references. Conclusions: This review suggests that embase , Derwent Drug File, medline and industry submissions may potentially provide the greatest number of relevant references for information on adverse effects of drugs. However, a systematic evaluation of the current value of different sources of information for adverse effects is urgently required.