Musculoskeletal and psychological assessments used in quantitatively based studies about musicians' health in brass players: A systematic literature review.

OBJECTIVE: Brass players are exposed to high musculoskeletal strains during their instrumental play. Various assessments can be used to measure these strains, whereby a targeted therapy can also be supported. The aim of this study was to review literature concerning assessments used in quantitatively based studies about the analysis of musculoskeletal loads of brass players. DATA SOURCES: The Cochrane Library, PubMed, CINAHL, PEDro as well as the journal "Medical Problems of Performing Artists" were searched for relevant studies. STUDY SELECTION: Two reviewers independently applied the inclusion and exclusion criteria to select potential studies. A third reviewer was involved in the case of discrepancies. DATA EXTRACTION: Two reviewers independently extracted the data. DATA SYNTHESIS: A total of 73 studies conducted between 2004 and 2019 were included. Within a total of 30 studies, 18 assessments could be found that collect 2-dimensional or 3-dimensional kinematic data using video- or image-based analysis of posture, sonographic, optoelectronic and various electromagnetic systems. In 7 studies kinetic data were measured by force-transducers, pressure platforms, stabilizer and dynamometer. Fifteen studies used clinical examinations and additional assessments to screen individual body regions and 9 studies derived electromyography measurements from a total of 25 muscles. Thirty-one partially validated questionnaires were used to record musculoskeletal pain of brass players. CONCLUSIONS: A variety of assessments can be used to optimize analysis and treatment procedures in research and clinical work. Future studies should both examine quality criteria of the various assessment methods and validate clinical examinations and questionnaires.

Algorithmic Generation of Grammar Simplification Rules Using Large Corpora.

There is often a discontinuity between patients' literacy level and educational materials. In response, we are developing an online medical text simplification editor. In this paper, we describe generating grammar simplification rules from a large parallel corpus (N=141,500) containing original sentences and their simplified variants. We algorithmically identified grammatical transformations between sentences (N=26,600) and used distributional characteristics in two corpora to select transformations with the broadest application and the least ambiguity. This resulted in a top set of 146 rules. Two experts evaluated 20 representative rules reflecting 4 characteristics (long/short and weak/strong) each with 5 example sentences. Generally, we found that the rules are helpful for guiding simplification. Using a 5-point Likert scale (5=best), stronger rules scored higher for ease of applying (4.11), overall helpfulness (4.40) and usefulness of examples (4.05). Rule length did not affect the expert scores. The grammar simplification rules are being integrated in our text editor.

User evaluation of the effects of a text simplification algorithm using term familiarity on perception, understanding, learning, and information retention.

BACKGROUND: Adequate health literacy is important for people to maintain good health and manage diseases and injuries. Educational text, either retrieved from the Internet or provided by a doctor's office, is a popular method to communicate health-related information. Unfortunately, it is difficult to write text that is easy to understand, and existing approaches, mostly the application of readability formulas, have not convincingly been shown to reduce the difficulty of text. OBJECTIVE: To develop an evidence-based writer support tool to improve perceived and actual text difficulty. To this end, we are developing and testing algorithms that automatically identify difficult sections in text and provide appropriate, easier alternatives; algorithms that effectively reduce text difficulty will be included in the support tool. This work describes the user evaluation with an independent writer of an automated simplification algorithm using term familiarity. METHODS: Term familiarity indicates how easy words are for readers and is estimated using term frequencies in the Google Web Corpus. Unfamiliar words are algorithmically identified and tagged for potential replacement. Easier alternatives consisting of synonyms, hypernyms, definitions, and semantic types are extracted from WordNet, the Unified Medical Language System (UMLS), and Wiktionary and ranked for a writer to choose from to simplify the text. We conducted a controlled user study with a representative writer who used our simplification algorithm to simplify texts. We tested the impact with representative consumers. The key independent variable of our study is lexical simplification, and we measured its effect on both perceived and actual text difficulty. Participants were recruited from Amazon's Mechanical Turk website. Perceived difficulty was measured with 1 metric, a 5-point Likert scale. Actual difficulty was measured with 3 metrics: 5 multiple-choice questions alongside each text to measure understanding, 7 multiple-choice questions without the text for learning, and 2 free recall questions for information retention. RESULTS: Ninety-nine participants completed the study. We found strong beneficial effects on both perceived and actual difficulty. After simplification, the text was perceived as simpler (P<.001) with simplified text scoring 2.3 and original text 3.2 on the 5-point Likert scale (score 1: easiest). It also led to better understanding of the text (P<.001) with 11% more correct answers with simplified text (63% correct) compared to the original (52% correct). There was more learning with 18% more correct answers after reading simplified text compared to 9% more correct answers after reading the original text (P=.003). There was no significant effect on free recall. CONCLUSIONS: Term familiarity is a valuable feature in simplifying text. Although the topic of the text influences the effect size, the results were convincing and consistent.

Is literature search training for medical students and residents effective? a literature review.

OBJECTIVES: This literature review examines the effectiveness of literature searching skills instruction for medical students or residents, as determined in studies that either measure learning before and after an intervention or compare test and control groups. The review reports on the instruments used to measure learning and on their reliability and validity, where available. Finally, a summary of learning outcomes is presented. METHODS: Fifteen studies published between 1998 and 2011 were identified for inclusion in the review. The selected studies all include a description of the intervention, a summary of the test used to measure learning, and the results of the measurement. RESULTS: Instruction generally resulted in improvement in clinical question writing, search strategy construction, article selection, and resource usage. CONCLUSION: Although the findings of most of the studies indicate that the current instructional methods are effective, the study designs are generally weak, there is little evidence that learning persists over time, and few validated methods of skill measurement have been developed.

Improving perceived and actual text difficulty for health information consumers using semi-automated methods.

We are developing algorithms for semi-automated simplification of medical text. Based on lexical and grammatical corpus analysis, we identified a new metric, term familiarity, to help estimate text difficulty. We developed an algorithm that uses term familiarity to identify difficult text and select easier alternatives from lexical resources such as WordNet, UMLS and Wiktionary. Twelve sentences were simplified to measure perceived difficulty using a 5-point Likert scale. Two documents were simplified to measure actual difficulty by posing questions with and without the text present (information understanding and retention). We conducted a user study by inviting participants (N=84) via Amazon Mechanical Turk. There was a significant effect of simplification on perceived difficulty (p<.001). We also saw slightly improved understanding with better question-answering for simplified documents but the effect was not significant (p=.097). Our results show how term familiarity is a valuable component in simplifying text in an efficient and scalable manner.

New roles: professional staff sharing between a hospital and an academic library.

Childrens Hospital Los Angeles is a pediatric hospital and research institute affiliated with the Keck School of Medicine of the University of Southern California (USC). Historically, the library at Childrens Hospital was staffed by a hospital-employed librarian. In 1999, the library position was outsourced to USC's Norris Medical Library. The new position is staffed by a librarian who divides her time equally between two locations: the Childrens Hospital Library and the Norris Medical Library. This staff sharing arrangement has three primary goals: increase the collaboration between the libraries; improve access to resources and library staff expertise; and provide faster document delivery service to the Childrens Hospital library. This paper presents the details of the position, and addresses the pros and cons for both libraries and the librarian.

Implementing a Web-based information resource at an inner-city community church: lessons learned.

The objective of this project was to develop and implement electronic access to HIV/AIDS information resources at Glide Memorial Church in San Francisco, CA. This involved developing tailored Web-based access to the relevant information for the Glide Clinic patients. In addition, the project deployed workstations in 2 clinic areas and provided support to clinic patients as they learned to access the information resources. This article describes the experience with information retrieval in a clinic setting for underserved patients, including lessons learned, effective strategies, and anecdotes of effect on patients. Required nursing informatics competencies in this particular area are also addressed.