RESUMEN
OBJECTIVE: Respirator medical evaluations are an important component of occupational health practice. Concepts and practices were established 25-50 years ago.METHODWe suggest analysis and discussion of three areas warranting update. RESULTS: a) Shifting from disease-based decisions to evaluating 12 specific domains- cardiopulmonary, sudden change in condition, thermal, work interference, exacerbating existing condition, donning/doffing, dermatologic, proper utilization, fit testing interference, cultural/religious, arms/legs, subjective responses. Two distinct evaluation processes are advised-"algorithmic" for the frequent straightforward evaluations and "specialist" for the more complex. b) Acknowledging the importance of subjective responses and clarifying the underlying causes - external stimulus, sensation, perception, interpretation, acceptability, and emotional response. c) Optimizing the organizational structures by explicitly defining the scope of evaluations, modifying the sequencing of assessment, and specifying qualifications of clinicians performing assessments. CONCLUSIONS: Reassessing respirator medical evaluation methods is needed.
RESUMEN
Text and audio simplification to increase information comprehension are important in healthcare. With the introduction of ChatGPT, evaluation of its simplification performance is needed. We provide a systematic comparison of human and ChatGPT simplified texts using fourteen metrics indicative of text difficulty. We briefly introduce our online editor where these simplification tools, including ChatGPT, are available. We scored twelve corpora using our metrics: six text, one audio, and five ChatGPT simplified corpora (using five different prompts). We then compare these corpora with texts simplified and verified in a prior user study. Finally, a medical domain expert evaluated the user study texts and five, new ChatGPT simplified versions. We found that simple corpora show higher similarity with the human simplified texts. ChatGPT simplification moves metrics in the right direction. The medical domain expert's evaluation showed a preference for the ChatGPT style, but the text itself was rated lower for content retention.
RESUMEN
Health literacy is crucial to supporting good health and is a major national goal. Audio delivery of information is becoming more popular for informing oneself. In this study, we evaluate the effect of audio enhancements in the form of information emphasis and pauses with health texts of varying difficulty and we measure health information comprehension and retention. We produced audio snippets from difficult and easy text and conducted the study on Amazon Mechanical Turk (AMT). Our findings suggest that emphasis matters for both information comprehension and retention. When there is no added pause, emphasizing significant information can lower the perceived difficulty for difficult and easy texts. Comprehension is higher (54%) with correctly placed emphasis for the difficult texts compared to not adding emphasis (50%). Adding a pause lowers perceived difficulty and can improve retention but adversely affects information comprehension.