Performance of a consensus scoring algorithm for assessing pediatric advanced life support competency using a computer screen-based simulator.
OBJECTIVE: To develop a computer screen-based simulator that may be used as a pediatric advanced life support (PALS) cognitive skill assessment tool and to pilot test a consensus-based scoring system for the simulator. DESIGN: Development of an evaluation tool, followed by prospective, observational...
| Publicado en: | Pediatric Critical Care Medicine Vol. 10; no. 6; pp. 623 - 636 |
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| Autores principales: | , , , |
| Formato: | algorithm case study pictorial research tables/charts Journal Article |
| Publicado: |
Lippincott Williams & Wilkins
2009 Nov
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105248380&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105248380 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15297535 N1Y jtl: Pediatric Critical Care Medicine issn: 15297535 maglogo: N pubinfo: dt: 2009 Nov vid: 10 iid: 6 pid: 433 pub: Lippincott Williams & Wilkins place: Baltimore, Maryland artinfo: ui: 105248380 105248380 2010485292 10.1097/PCC.0b013e3181b00ee4 NLM19898170 105248380 ppf: 623 ppct: 13 formats: tig: atl: Performance of a consensus scoring algorithm for assessing pediatric advanced life support competency using a computer screen-based simulator. aug: au: Ventre KM Collingridge DS DeCarlo D Schwid HA affil: Division of Critical Care Medicine, Department of Pediatrics, University of Utah Salt Lake City, UT, USA. Kathleen.ventre@hsc.utah.edu sug: subj: Algorithms Cognition Evaluation Computers and Computerization Pediatric Advanced Life Support Evaluation Simulations Audit Bradycardia Chi Square Test Death Human Multiple Linear Regression Nonexperimental Studies Pilot Studies Pulse Reliability Tachycardia Utah Ventricular Fibrillation ab: OBJECTIVE: To develop a computer screen-based simulator that may be used as a pediatric advanced life support (PALS) cognitive skill assessment tool and to pilot test a consensus-based scoring system for the simulator. DESIGN: Development of an evaluation tool, followed by prospective, observational study of tool performance. SETTING: Tertiary care pediatric hospital. SUBJECTS: A total of 100 PALS providers from multiple disciplines. INTERVENTIONS: Using a consensus process with a group of six experts in pediatric emergency and critical care medicine, we developed scoring algorithms to measure performance on four interactive PALS scenarios (supraventricular tachycardia, pulseless electrical activity, ventricular fibrillation, and bradycardia). PALS providers (n = 100) completed the scenarios on the simulator and the computer assessed their performance using the scoring algorithm. MEASUREMENTS AND MAIN RESULTS: Case management scoring audits agreed 100% with computer scoring during pilot testing, indicating excellent reliability. The mean time to complete all four cases was 13.8 mins. Performance scores were highest for supraventricular tachycardia management and lowest for pulseless electrical activity management. Survival was significantly more common than death in the supraventricular tachycardia and ventricular fibrillation scenarios, whereas death was more common in the pulseless electrical activity scenario (p < .004). Physician status predicted a higher aggregate score as well as higher scores in the supraventricular tachycardia (p < .001), pulseless electrical activity (p = .041), and bradycardia (p = .006) scenarios. Participants who completed the PALS course on the same day as their assessment scored higher on the supraventricular tachycardia scenario (p = .041). CONCLUSIONS: Personal computer-based simulation can be used to evaluate performance against consensus criteria in a large number of PALS providers. This technology could supplement traditional curricula by facilitating frequent knowledge assessments as part of a PALS competency maintenance regimen. pubtype: Academic Journal doctype: algorithm case study pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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