Biomedical subjects

David P Meurer

Publications and source records attributed to David P Meurer.

4 recordsLinked to original sources

PubMed2007

Predictive validity of a computerized emergency triage tool.

BACKGROUND: Emergency department (ED) triage prioritizes patients on the basis of the urgency of need for care. eTRIAGE is a Web-based triage decision support tool that is based on the Canadian Triage and Acuity Scale (CTAS), a five level triage system (CTAS 1 = resuscitation, CTAS 5 = nonurgent). OBJECTIVES: To examine the validity of eTRIAGE on the basis of resource utilization and cost as measures of acuity. METHODS: Scores on the CTAS, specialist consultations, computed-tomography use, ED length of stay, ED disposition, and estimated ED and hospital costs (if the patient was subsequently admitted to hospital) were collected for each patient over a six month period. These data were queried from a database that captures all regional ED visits. Correlations between CTAS score and each outcome were measured by using logistic regression models (categorical variables), univariate analysis of variance (continuous variables), and the Kruskal-Wallis analysis of variance (costs). A multivariate regression model that used cost as the outcome was used to identify interaction between the variables presented. RESULTS: Over the six month study, 29,524 patients were triaged by using eTRIAGE. When compared with CTAS level 3, the odds ratios for consultation, CT scan, and admission were significantly higher in CTAS 1 and 2 and were significantly lower in CTAS 4 and 5 (p < 0.001). When compared with CTAS levels 2-5 combined, the odds ratio for death in CTAS 1 was 664.18 (p < 0.001). The length of stay also demonstrated significant correlation with CTAS score (p < 0.001). Costs to the ED and hospital also correlated significantly with increasing acuity (median costs for CTAS levels in Canadian dollars: CTAS 1 = 2,690 dollars, CTAS 2 = 433 dollars, CTAS 3 = 288 dollars, CTAS 4 = 164 dollars, CTAS 5 = 139 dollars, and p < 0.001). Significant interactions between the data collected were found in a multivariate regression model, although CTAS score remained highly associated with costs. CONCLUSIONS: Acuity measured by eTRIAGE demonstrates excellent predictive validity for resource utilization and ED and hospital costs. Future research should focus on specific presenting complaints and targeted resources to more accurately assess eTRIAGE validity.

Adult↗

PubMed2006

Reliability of computerized emergency triage.

OBJECTIVES: Emergency department (ED) triage prioritizes patients based on urgency of care. This study compared agreement between two blinded, independent users of a Web-based triage tool (eTRIAGE) and examined the effects of ED crowding on triage reliability. METHODS: Consecutive patients presenting to a large, urban, tertiary care ED were assessed by the duty triage nurse and an independent study nurse, both using eTRIAGE. Triage score distribution and agreement are reported. The study nurse collected data on ED activity, and agreement during different levels of ED crowding is reported. Two methods of interrater agreement were used: the linear-weighted kappa and quadratic-weighted kappa. RESULTS: A total of 575 patients were assessed over nine weeks, and complete data were available for 569 patients (99.0%). Agreement between the two nurses was moderate if using linear kappa (weighted kappa = 0.52; 95% confidence interval = 0.46 to 0.57) and good if using quadratic kappa (weighted kappa = 0.66; 95% confidence interval = 0.60 to 0.71). ED overcrowding data were available for 353 patients (62.0%). Agreement did not significantly differ with respect to periods of ambulance diversion, number of admitted inpatients occupying stretchers, number of patients in the waiting room, number of patients registered in two hours, or nurse perception of busyness. CONCLUSIONS: This study demonstrated different agreement depending on the method used to calculate interrater reliability. Using the standard methods, it found good agreement between two independent users of a computerized triage tool. The level of agreement was not affected by various measures of ED crowding.

Adult↗

PubMed2005

Emergency triage: comparing a novel computer triage program with standard triage.

BACKGROUND: Emergency department (ED) triage prioritizes patients based on urgency of care; however, little previous testing of triage tools in a live ED environment has been performed. OBJECTIVES: To determine the agreement between a computer decision tool and memory-based triage. METHODS: Consecutive patients presenting to a large, urban, tertiary care ED were assessed in the usual fashion and by a blinded study nurse using a computerized decision support tool. Triage score distribution and agreement between the two triage methods were reported. A random subset of patients was selected and reviewed by a blinded expert panel as a consensus standard. RESULTS: Over five weeks, 722 ED patients were assessed; complete data were available from 693 (96%) score pairs. Agreement between the two methods was poor (kappa = 0.202; 95% confidence interval [95% CI] = 0.150 to 0.254); however, agreement improved when using weighted kappa (0.360; 95% CI = 0.305 to 0.415) or "within one" level kappa (0.732; 95% CI = 0.644 to 0.821). When compared with the expert panel, the nurse triage scores showed lower agreement (0.263; 95% CI = 0.133 to 0.394) than the tool (kappa = 0.426; 95% CI = 0.289 to 0.564). There was a significant down-triaging of patients when patients were triaged without the computerized tool. Admission rates also differed between the triage systems. CONCLUSIONS: There was significant discrepancy by nurses using memory-based triage when compared with a computer tool. Triage decision support tools can mitigate this drift, which has administrative implications for EDs.

Canada↗

PubMed2004

Supporting clinical practice at the bedside using wireless technology.

OBJECTIVES: Despite studies that show improvements in both standards of care and outcomes with the judicious application of clinical practice guidelines (CPGs), their clinical utilization remains low. This randomized controlled trial examined the use of a wirelessly networked mobile computer (MC) by physicians at the bedside with access to an emergency department information system, decision support tools (DSTs), and other software options. METHODS: Each of ten volunteer emergency physicians was randomized using a matched-pair design to work five shifts in standard fashion (desktop computer [DC] access) and five shifts with a wirelessly networked MC. Work pattern issues and electronic CPG/DST use were compared using end-of-shift satisfaction questionnaires and review of a CPG/DST database. Repeated-measures analysis of variance was used to examine between-shift differences. RESULTS: A total of 100 eight-hour shifts were evaluated; 99% compliance with postshift questionnaires was achieved. Using a seven-point Likert scale (MC values first), MCs were rated as being as fast (5.04 vs. 4.54; p=0.13) and convenient (5.08 vs. 4.14; p=0.07) as DCs. Overall, physicians rated MCs to be less efficient (3.18 vs. 4.30; p=0.02) but encouraged more frequent use of DSTs (4.10 vs. 3.47; p=0.03) without impacting doctor-patient communication (2.78 vs. 2.96; p=0.51). During the study period, physician use of an intranet Web application (eCPG) was more frequent during shifts assigned to the MC when compared with the DC (eCPG uses/shift, 3.6 vs. 2.0; p=0.033). CONCLUSIONS: The MC technology permitted physicians to access information at the bedside and increased the use of CPG/DST tools. According to physicians, patients appeared to accept their use of information technology to assist in decision making. Development of improved computer technology may address the major limitation of MC portability.

Computers↗