Michael W. Smith

Bio: Michael W. Smith is an academic researcher from Universidad de las Américas Puebla. The author has contributed to research in topics: Health care & Health information technology. The author has an hindex of 12, co-authored 27 publications receiving 781 citations. Previous affiliations of Michael W. Smith include Veterans Health Administration & Ohio State University.

Aging, Motor Control, and the Performance of Computer Mouse Tasks

Abstract: Because of the increased presence of computers in work and everyday life and the demographic "graying" of America, there is a need for interface designs that promote accessibility for older people....

Exploring situational awareness in diagnostic errors in primary care

Abstract: Objective: Diagnostic errors in primary care are harmful but poorly studied. To facilitate the understanding of diagnostic errors in real-world primary care settings that use electronic health records (EHRs), this study explored the use of the situational awareness (SA) framework from aviation human factors research. Methods: A mixed-methods study was conducted involving reviews of EHR data followed by semistructured interviews of selected providers from two institutions in the USA. The study population included 380 consecutive patients with colorectal and lung cancers diagnosed between February 2008 and January 2009. Using a pre-tested data collection instrument, trained physicians identified diagnostic errors, defined as lack of timely action on one or more established indications for diagnostic work-up for lung and colorectal cancers. Twenty-six providers involved in cases with and without errors were interviewed. Interviews probed for providers’ lack of SA and how this may have influenced the diagnostic process. Results: Of 254 cases meeting inclusion criteria, errors were found in 30 of 92 (32.6%) lung cancer cases and 56 of 167 (33.5%) colorectal cancer cases. Analysis of interviews related to error cases revealed evidence of lack of one of four levels of SA applicable to primary care practice: information perception, information comprehension, forecasting future events, and choosing appropriate action based on the first three levels. In cases without error, application of the SA framework provided insight into processes involved in attention management. Conclusions: A framework of SA can help analyse and understand diagnostic errors in primary care settings that use EHRs.

The Cambridge Handbook of Expertise and Expert Performance

Abstract: This is the first handbook where the world’s foremost “experts on expertise” review our scientific knowledge on expertise and expert performance and how experts may differ from non-experts in terms of their development, training, reasoning, knowledge, social support, and innate talent. Methods are described for the study of experts’ knowledge and their performance of representative tasks from their domain of expertise. The development of expertise is also studied by retrospective interviews and the daily lives of experts are studied with diaries. In 15 major domains of expertise, the leading researchers summarize our knowledge of the structure and acquisition of expert skill and knowledge and discuss future prospects. General issues that cut across most domains are reviewed in chapters on various aspects of expertise, such as general and practical intelligence, differences in brain activity, self-regulated learning, deliberate practice, aging, knowledge management, and creativity.

Users' Guides to the Medical Literature

Abstract: Guyatt G, Rennie D, editors and The Evidence-Based Medicine Working Group. Users' guides to the medical literature. A manual for evidence-based clinical practice. Chicago: AMA Press, 2002 The JAMA series on how to use the medical literature has been expanded and put into book and CD-ROM format. The Evidence-Based Medicine Working Group along with editors Gordon Guyatt and Drummond Rennie have provided practitioners with a valuable resource for evaluating evidence relevant to their practice. The authors of this “how to” book have made certain that it includes challenges to all levels of users of evidence, from beginners to experts. The material is presented in 3 formats: a 700 page manual for evidence-based practice (EBP) (Manual) that is thorough and comprehensive; a 440 page pocket version of the essentials of EBP (Essentials) that provides an indepth discussion of the basics; and a hyperlinked CD-ROM that contains the contents of the Manual and is included with both hardcopy versions. The Essentials book is small enough to keep in a large pocket, although the print is small and may be difficult for really tired eyes to read. The Manual …

Quality of care.

Abstract: Editor – I am moved by Professor Allan's elegy to bygone NHS virtues of ‘calm caring and gentle pace of clinical life… and all the time in the world to deliver compassionate care' ( Clin Med October 2009 p 407). One's immediate instinct would be to say ‘Ah, but times have changed' – only

Self-report measures of medication adherence behavior: recommendations on optimal use

Abstract: Medication adherence plays an important role in optimizing the outcomes of many treatment and preventive regimens in chronic illness. Self-report is the most common method for assessing adherence behavior in research and clinical care, but there are questions about its validity and precision. The NIH Adherence Network assembled a panel of adherence research experts working across various chronic illnesses to review self-report medication adherence measures and research on their validity. Self-report medication adherence measures vary substantially in their question phrasing, recall periods, and response items. Self-reports tend to overestimate adherence behavior compared with other assessment methods and generally have high specificity but low sensitivity. Most evidence indicates that self-report adherence measures show moderate correspondence to other adherence measures and can significantly predict clinical outcomes. The quality of self-report adherence measures may be enhanced through efforts to use validated scales, assess the proper construct, improve estimation, facilitate recall, reduce social desirability bias, and employ technologic delivery. Self-report medication adherence measures can provide actionable information despite their limitations. They are preferred when speed, efficiency, and low-cost measures are required, as is often the case in clinical care.