24 research outputs found

    Large expert-curated database for benchmarking document similarity detection in biomedical literature search

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    Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

    Small animal anesthesia and analgesia

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    Involving patients in understanding hospital infection control using visual methods

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    Aims and Objectives. This paper explores patients' perspectives on infection prevention and control. Background. Healthcare-associated infections are the most frequent adverse event experienced by patients. Reduction strategies have predominantly addressed frontline clinicians' practices; patients' roles have been less explored. Design. Video-reflexive ethnography. Methods. Fieldwork undertaken at a large metropolitan hospital in Australia involved 300 hours of ethnographic observations, including 11 hours of video footage. This paper focuses on eight occasions, where video footage was shown back to patients in one-on-one reflexive sessions. Findings. Viewing and discussing video footage of clinical care enabled patients to become articulate about infection risks, and to identify their own roles in reducing transmission. Barriers to detailed understandings of preventative practices and their roles included lack of conversation between patients and clinicians about infection prevention and control, and being ignored or contradicted when challenging perceived suboptimal practice. It became evident that to compensate for clinicians' lack of engagement around infection control, participants had developed a range of strategies, of variable effectiveness, to protect themselves and others. Finally, the reflexive process engendered closer scrutiny and a more critical attitude to infection control that increased patients' sense of agency. Conclusion. This study found that patients actively contribute to their own safety. Their success, however, depends on the quality of patient-provider relationships and conversations. Rather than treating patients as passive recipients of infection control practices, clinicians can support and engage with patients' contributions towards achieving safer care. Relevance to clinical practice. This study suggests that if clinicians seek to reduce infection rates, they must start to consider patients as active contributors to infection control. Clinicians can engage patients in conversations about practices and pay attention to patient feedback about infection risk. This will broaden clinicians' understandings of infection control risks and behaviours, and assist them to support appropriate patient self-care behaviour
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