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Susan E Shapiro

Publications and source records attributed to Susan E Shapiro.

10 recordsLinked to original sources
PubMed2006

Guidelines for developing and testing clinical decision rules.

Clinical decision rules (CDRs) are decision support tools that synthesize evidence for use in bedside practice. They differ from other decision support tools in the methodological rigor with which they are developed. This article describes the important considerations in developing a CDR, including identifying the need for the rule, carefully defining the outcome variable, identifying and selecting the possible predictor variables, and guidelines for initial testing of the CDR. The process of developing and testing CDRs is best undertaken by teams of researchers, with clinical nurses providing important input in both the development and testing. It's important that clinical nurses understand both the contributions of CDRs and their inherent limitations, as appropriate use of well-developed, well-validated CDRs will become more and more a necessity in evidence-based nursing.

Delphi Technique↗
PubMed2005

Evaluating clinical decision rules.

Clinical decision rules (CDRs) are decision support tools that synthesize evidence into bedside tools for practice. Before adopting CDRs into practice, nurses must be assured that there is sufficient evidence in the literature that the rule performs as expected, can do so in a variety of settings (especially in settings similar to one's own), and that using it will likely result in improved patient outcomes at no additional cost (or conversely, that it will lower costs with no adverse effect on clinical outcomes). This article provides a framework for clinical nurses to evaluate CDRs. The framework focuses on the processes used to establish the external validity of the rule, and the evidence that using the rule results in improved patient or systems outcomes, including cost-effectiveness. The Braden Scale is used as an example and is evaluated using the framework described.

Cost-Benefit Analysis↗
PubMed2004

Clinical decision rules as tools for evidence-based nursing.

Nursing practice is fraught with uncertainty and our patients do not always respond predictably to our interventions. Properly developed and tested Clinical Decision Rules (CDRs), a special type of decision support tool, help organize research evidence into standardized patient assessments and treatments, thereby increasing the probability of attaining the desired outcome and reducing uncertainty in practice. The purpose of this article is to examine CDRs as one kind of decision support tool that can be used to facilitate nursing decision making and evidence-based practice (EBP). CDRs differ from both treatment algorithms and clinical pathways in the ways they are developed and in their scope of applicability. CDRs are developed using strict methodological standards, with the goal that they function well when used by a variety of care providers, with various patient populations, and in different patient care settings.

Decision Support Techniques↗
PubMed2004

Telephone advice nursing services in a US health maintenance organization.

We studied telephone advice nursing (TAN) in the US. We recorded 4269 TAN calls in four regions served by Kaiser Permanente, a health maintenance organization. A call description form was used to record information regarding both calls and callers. The mean call length was 5.9 min (SD 3.6, range 0.3-35.8); 300 calls lasted less than 2 min. The mean call length differed significantly across regions, from 4.4 min in Hawaii to 8.7 min in Southern California. Calls to call centres lasted an average of 6.5 min (SD 3.8), compared with 4.2 min (SD 2.9) for those to medical offices. These differences were significant. Although 42% of calls required some further medical management, only 18% (n = 754) resulted in an urgent disposition, and only 16% (n = 121; 3% of all calls) of the urgent dispositions involved referral to emergency services. The likelihood of urgent disposition varied significantly by region. Callers generally used the TAN services for the right reasons, that is, with questions or concerns that could be reasonably handled by telephone advice nurses.

Adult↗
PubMed2004

SARS update: Winter, 2003 to 2004.

Transmission of severe acute respiratory syndrome (SARS) related coronavirus (CoV) appears to be heterogeneous. Most transmission occurs through large droplets, but there is some evidence of spread through aerosol transmission. Proper use of personal protective equipment (PPE) and scrupulous attention to hand hygiene are critical to reducing transmission of SARS, especially in health care facilities. Surgical masks have been shown to be highly effective in reducing transmission when N-95 respirators are unavailable. Health care workers bore a large burden of illness during the 2002 to 2003 SARS epidemic. Occupational health nurses working in health care agencies will play a key role in preparing for a re-emergence of the disease. Occupational health nurses should "bookmark" the Centers for Disease Control and Prevention website for Public Health Guidance for Community-Level Preparedness and Response to SARS: www.cdc.gov/ncidod/sars/clinicalguidance.htm for easy retrieval and reference.

Global Health↗
PubMed2002

Factor analysis of Gulf War illness: what does it add to our understanding of possible health effects of deployment?

The authors conducted factor analysis on survey data from 1,779 Persian Gulf War veterans. Their purposes were to: 1) determine whether factor analysis identified a unique "Gulf War syndrome" among veterans potentially exposed to chemical warfare agents; 2) compare the findings of factor analysis with those from an epidemiologic analysis of symptom prevalence; and 3) observe the behavior of factor analysis when performed on dichotomous data. The factor analysis identified three factors, but they were not unique to any particular deployment group. A unique pattern of illness was not found for the larger group of veterans potentially exposed to chemical warfare agents; however, veterans who had witnessed the demolition of chemical warfare agents at the Khamisiyah site in Iraq had a greater prevalence of dysesthesia. An analysis of the performance of dichotomous variables in factor analysis showed that the standard criteria used to determine the number of relevant factors and the dominant variables within them may be inappropriate. While Gulf War veterans appear to suffer an increased burden of illness, there is insufficient evidence to identify a unique syndrome in this population of deployed servicemen and women. Furthermore, the results provide evidence that factor analysis may make a limited contribution in this area of research.

Adult↗
PubMedDate not supplied

Determining severe respiratory distress in older out-of-hospital patients.

OBJECTIVES: This preliminary investigation represents the first step in developing a clinical decision rule (CDR) to assist out-of-hospital providers in caring for older patients in respiratory distress. The specific aims of the study were: 1) to identify up to ten candidate clinical indicators of severe respiratory distress in older out-of-hospital patients and 2) to determine the feasibility of obtaining data on these indicators from out-of-hospital treatment records, and of obtaining a measure of severe respiratory distress from the emergency department (ED) medical record. METHODS: This mixed-methods study included a qualitative component to list possible clinical indicators of severe respiratory distress, and a Delphi survey N = six experts) to reduce the comprehensive list that resulted (aim 1). The feasibility of gathering clinical indicators and a measure of severe distress was evaluated using a retrospective chart review (N = 640) of out-of-hospital and ED medical records (aim 2). RESULTS: Nine clinical indicators were identified: level of consciousness/mentation, inability to speak in full sentences, position of the patient on arrival, decreased oxygen saturation, accessory muscle use, dyspnea, increased respiratory effort, altered respiratory rate, and retractions. There were sufficient data available on all indicators except dyspnea and retractions; a measure of severe distress was readily obtained from the ED medical record. CONCLUSION: Medical record data were available on seven out-of-hospital clinical indicators and an ED measure of severe distress. Further work needs to be done to refine the operational definitions of the indicators and to standardize the way they are documented in the out-of-hospital medical record.

Consensus↗