Faramarz Pourasghar; Jafar Sadegh Tabrizi; Alireza Ala; Amin Daemi
Volume 11, Issue 5 , October 2014, , Pages 537-547
Abstract
Introduction: With regards to the growing use of computers in the triage along with other parts of healthcare systems, and by considering this fact that the Ministry of Health and Medical Education of Iran suggests the Emergency Severity Index (ESI) as an appropriate triage system, this study was conducted ...
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Introduction: With regards to the growing use of computers in the triage along with other parts of healthcare systems, and by considering this fact that the Ministry of Health and Medical Education of Iran suggests the Emergency Severity Index (ESI) as an appropriate triage system, this study was conducted to develop a domestic model for an electronic triage system. Methods: The intelligent Electronic Triage System (ETS) was developed based on ESI version4, using PHP programming language and MySQL data base. The system designed to be a web based application. The purpose of this structure was to improve the triage process in terms of precision, speed and ease of use. The ETS, based on input data, determines triage level and treatment room automatically. Results: The ETS was designed to be used in Emergency Departments (EDs) in hospitals. Its main users are the triage nurses, ED physicians, ED head nurses and supervisors. Besides performing triages automatically, the ETS has some advantages such as search and report functions, and also calculating two indexes suggested by the Ministry of Health and Medical Education on triage, including average triage time and the under-triage and over-triage rate. Conclusion: In this study the domestic Electronic Triage System was developed in Tabriz University of Medical Sciences, for the first time in Iran. With current trend of implementing computerized systems in hospitals, the Electronic Triage System can be used as a model for computerizing triage at EDs. Key words: Emergency Service, Hospital; Triage; Electronic Triage.
Jafar Sadegh Tabrizi; Kamal Gholipour; Mohammad Asghari Jafarabadi; Mojtaba Mohammad Zadeh; Mostafa Farahbakhsh
Volume 10, Issue 1 , May 2014, , Pages 128-137
Abstract
Introduction: Evaluation is a suitable way to improve the healthcare quality. At the other hand, qualityand validity of information is an important factor in this process. The aim of this study was to assessadjustment and agreement between medical records data and pregnant women reported healthcare data ...
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Introduction: Evaluation is a suitable way to improve the healthcare quality. At the other hand, qualityand validity of information is an important factor in this process. The aim of this study was to assessadjustment and agreement between medical records data and pregnant women reported healthcare data inprenatal maternity care.Methods: A cross-sectional study was conducted on 185 pregnant women who were selected randomlyand received maternity care from 40 urban health centers and health posts in Tabriz, Iran. Technicalquality data were obtained from two different sources medical record and pregnant women reported data.Questionnaire’s content validity was reviewed and confirmed by 10 experts and its reliability wasconfirmed based on Cronbach's alpha (α = 0.748). Weighted Kappa and ICC (intra-class correlationcoefficient) were used to analyze each item. Data were analyzed using the STATA ver.10 and SPSSver.17 statistical packages.Results: There was a weak agreement between the two data sources. Only in some services there was amoderate agreement such as number of care (Kappa = 0.56), blood pressure and weight measurement(Kappa = 0.55). In registration time to health center (P = 0.95, 95%CI 0.931-0.962) and awareness ofpregnancy (P = 0.87, 95%CI 0.824-0.903) there was a strong agreement between medical document andcustomers reported data.Conclusion: For some services such as pregnancy education, it is preferred to use pregnant womenreported data, because such data are a form of output assessment. Furthermore, due to a defect in therecording services, customers’ reported data were more valid than the health records.
