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W Scott Richardson

Publications and source records attributed to W Scott Richardson.

9 recordsLinked to original sources
PubMed2004

Killing Bugs at the Bedside: a prospective hospital survey of how frequently personal digital assistants provide expert recommendations in the treatment of infectious diseases.

BACKGROUND: Personal Digital Assistants (PDAS) are rapidly becoming popular tools in the assistance of managing hospitalized patients, but little is known about how often expert recommendations are available for the treatment of infectious diseases in hospitalized patients. OBJECTIVE: To determine how often PDAs could provide expert recommendations for the management of infectious diseases in patients admitted to a general medicine teaching service. DESIGN: Prospective observational cohort study SETTING: Internal medicine resident teaching service at an urban hospital in Dayton, Ohio PATIENTS: 212 patients (out of 883 patients screened) were identified with possible infectious etiologies as the cause for admission to the hospital. MEASUREMENTS: Patients were screened prospectively from July 2002 until October 2002 for infectious conditions as the cause of their admissions. 5 PDA programs were assessed in October 2002 to see if treatment recommendations were available for managing these patients. The programs were then reassessed in January 2004 to evaluate how the latest editions of the software would perform under the same context as the previous year. RESULTS: PDAs provided treatment recommendations in at least one of the programs for 100% of the patients admitted over the 4 month period in the 2004 evaluation. Each of the programs reviewed improved from 2002 to 2004, with five of the six programs offering treatment recommendations for over 90% of patients in the study. CONCLUSION: Current PDA software provides expert recommendations for a great majority of general internal medicine patients presenting to the hospital with infectious conditions.

Journal Article↗
PubMed2004

Making medical research clinically friendly: a communication-based conceptual framework.

CONTEXT: It often takes a long time before the results of medical research are actually used by health care practitioners in day-to-day clinical settings. This problem, referred to as "the evidence-to-practice gap", has significant implications for patient health care. Practitioners have difficulty keeping up with the latest information in part because it is reported in hundreds of journals that may not be easily accessed and understood. APPROACH: This essay conceptualizes the evidence-to-practice gap as a communication problem and suggests how academic research can be translated into messages that are easier for practitioners to access, comprehend and incorporate into their medical practice. A "translation framework" shows the importance of targeting messages to specific audiences and provides a communication-based conceptual approach for summarizing research for clinicians. PRACTICAL IMPLICATIONS: Targeting the results of academic research to practitioners will decrease the time it takes for patients to benefit from the latest medical evidence. Translation guidelines can help health researchers write more effectively for both academic and practitioner audiences. Since the evidence-to-practice gap is a systemic problem that begins with how we train our health researchers, educators should consider addressing this topic in the health professions classroom. The framework presented here can serve as the basis for an instructional unit on interpreting and reporting research findings. Finally, information technology can play a much larger role in the communication process because of the enormous advantages of quick access and data organization that computers and the Internet provide. Practitioner-targeted research summaries could be made available on government or not-for-profit sponsored websites as well as by journals themselves. Funding opportunities exist for research that focuses on how technology can help improve health care, and so the time is right for health researchers to investigate ways of making their studies more accessible and quickly usable via web-based distribution. The potential of medical science should not be limited by an information delivery system that we have the knowledge, expertise and resources to improve.

Biomedical Research↗
PubMed2003

Could our pretest probabilities become evidence based? A prospective survey of hospital practice.

OBJECTIVE: We sought to measure the proportion of patients on our clinical service who presented with clinical problems for which research evidence was available to inform estimates of pretest probability. We also aimed to discern whether any of this evidence was of sufficient quality that we would want to use it for clinical decision making. DESIGN: Prospective, consecutive case series and literature survey. SETTING: Inpatient medical service of a university-affiliated Veterans' Affairs hospital in south Texas. PATIENTS: Patients admitted during the 3 study months for diagnostic evaluation. MEASUREMENTS: Patients' active clinical problems were identified prospectively and recorded at the time of discharge, transfer, or death. We electronically searched medline and hand-searched bibliographies to find citations that reported research evidence about the frequency of underlying diseases that cause these clinical problems. We critically appraised selected citations and ranked them on a hierarchy of evidence. RESULTS: We admitted 122 patients for diagnostic evaluation, in whom we identified 45 different principal clinical problems. For 35 of the 45 problems (78%; 95% confidence interval [95% CI], 66% to 90%), we found citations that qualified as disease probability evidence. Thus, 111 of our 122 patients (91%; 95% CI, 86% to 96%) had clinical problems for which evidence was available in the medical literature. CONCLUSIONS: During 3 months on our hospital medicine service, almost all of the patients admitted for diagnostic evaluation had clinical problems for which evidence is available to guide our estimates of pretest probability. If confirmed by others, these data suggest that clinicians' pretest probabilities could become evidence based.

Decision Support Techniques↗