Evaluating the Statistical Impact of Using Different Approaches to Operationalize Treatment Seeking Delay for Acute Myocardial Infarction

2.50
Hdl Handle:
http://hdl.handle.net/10755/156413
Type:
Presentation
Title:
Evaluating the Statistical Impact of Using Different Approaches to Operationalize Treatment Seeking Delay for Acute Myocardial Infarction
Abstract:
Evaluating the Statistical Impact of Using Different Approaches to Operationalize Treatment Seeking Delay for Acute Myocardial Infarction
Conference Sponsor:Sigma Theta Tau International
Conference Year:2006
Author:El-Masri, Maher M., RN, PhD
P.I. Institution Name:University of Windsor
Title:Associate Professor
Co-Authors:Susan M. Fox-Wasylyshyn, RN, PhD
Problem: Knowledge of the factors that contribute to delay in seeking medical treatment for acute myocardial infarction (AMI) provides the basis for interventions that are intended to facilitate prompt care seeking behavior. However, operationalization of delay time varies across different research studies. The use of inconsistent operational definitions of delay time is likely to compromise comparability among the findings of these studies and ultimately limit their generalizability. Purpose: The purpose of this paper is to examine the impact of inconsistent approaches to measuring delay on the validity of research findings pertaining to identifying its predictors. Method: A retrospective, descriptive cross-sectional survey was conducted on a convenience sample of 135 in-patients who had recently experienced out-of-hospital AMI. Several regression models were used to examine the influence of using mean delay time as compared to using different cut-off times (1 hour, 2 hours, 3 hours, 6 hours, and 12 hours, median delay) on the number and nature of predictors of AMI delay. Data analysis also included examination of the explained variance, sensitivity, specificity, positive predictive value, and negative predictive value for each regression model. Results: The number of independent predictors varied from 1 - 5 based on the selection of different definitions of delay. The variance explained by the different regression models ranged from 5.8% to 48%. The sensitivity and specificity of the models ranged from 25% to 79% and 43% to 91%, respectively.  Conclusion: Use of different criteria for the measurement of delay time resulted in inconsistent results with regard to predictors of delay, produced regression models that explained varied percentages of variance, and had different classification indices. Thus, it is recommended that criteria be established among clinicians and researchers with regard to how care seeking delay is operationalized.
Repository Posting Date:
26-Oct-2011
Date of Publication:
17-Oct-2011
Sponsors:
Sigma Theta Tau International

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titleEvaluating the Statistical Impact of Using Different Approaches to Operationalize Treatment Seeking Delay for Acute Myocardial Infarctionen_GB
dc.identifier.urihttp://hdl.handle.net/10755/156413-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Evaluating the Statistical Impact of Using Different Approaches to Operationalize Treatment Seeking Delay for Acute Myocardial Infarction</td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Sigma Theta Tau International</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2006</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">El-Masri, Maher M., RN, PhD</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">University of Windsor</td></tr><tr class="item-author-title"><td class="label">Title:</td><td class="value">Associate Professor</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">melmasri@uwindsor.ca</td></tr><tr class="item-co-authors"><td class="label">Co-Authors:</td><td class="value">Susan M. Fox-Wasylyshyn, RN, PhD</td></tr><tr><td colspan="2" class="item-abstract">Problem: Knowledge of the factors that contribute to delay in seeking medical treatment for acute myocardial infarction (AMI) provides the basis for interventions that are intended to facilitate prompt care seeking behavior. However, operationalization of delay time varies across different research studies. The use of inconsistent operational definitions of delay time is likely to compromise comparability among the findings of these studies and ultimately limit their generalizability. Purpose: The purpose of this paper is to examine the impact of inconsistent approaches to measuring delay on the validity of research findings pertaining to identifying its predictors. Method: A retrospective, descriptive cross-sectional survey was conducted on a convenience sample of 135 in-patients who had recently experienced out-of-hospital AMI. Several regression models were used to examine the influence of using mean delay time as compared to using different cut-off times (1 hour, 2 hours, 3 hours, 6 hours, and 12 hours, median delay) on the number and nature of predictors of AMI delay. Data analysis also included examination of the explained variance, sensitivity, specificity, positive predictive value, and negative predictive value for each regression model. Results: The number of independent predictors varied from 1 - 5 based on the selection of different definitions of delay. The variance explained by the different regression models ranged from 5.8% to 48%. The sensitivity and specificity of the models ranged from 25% to 79% and 43% to 91%, respectively. &nbsp;Conclusion: Use of different criteria for the measurement of delay time resulted in inconsistent results with regard to predictors of delay, produced regression models that explained varied percentages of variance, and had different classification indices. Thus, it is recommended that criteria be established among clinicians and researchers with regard to how care seeking delay is operationalized.</td></tr></table>en_GB
dc.date.available2011-10-26T14:45:30Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T14:45:30Z-
dc.description.sponsorshipSigma Theta Tau Internationalen_GB
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