Patient waiting time in hospital emergency departments of Iran: A systematic review and meta-analysis

Background: Emergency department latency is an important indicator to measure the quality of hospital services, which has a significant impact on patient satisfaction The aim of this study is to systematically review the patient's latency in hospital emergencies and Meta analysis was to do. Iran sector

METHODS: Use the following keywords to collect data from the database of Web of Science, Embase, PubMed, Scopus, Google Scholar, SID, and Iran Medex. Search for articles "Emergency Room", "Emergency Room", "Wait Time", "Time Delay" "First Visit", "Initial Treatment", "Emergency Department", "Iran", and their Persian equivalent In order to select the time zone from 2000 to 2016 please. 2 (integrated meta-analysis) software

Results: A total of 236 articles were extracted from databases and other sources, and finally 17 articles were analyzed. A total of 15 943 waiting times were measured in various parts of the emergency department. The mean ± SD wait time from the doctor to the first visit is 9 ± 0.6 minutes, 45 ± 5 minutes between the first visit and the first treatment step, and between the reference laboratory and the results 94 ± 33.9 minutes, There was 23.2 ± 3 minutes between the reference radiology and the reception result, 32.2 ± 7 minutes between the reference ECG and the reception result, and the waiting time for the first expert consultation was 99.3 ± 32.8 minutes It was.

Conclusion: The results show that the emergency room waiting time in Iranian hospitals is longer than domestic and international standards. Based on the high nonuniformity of results and the possibility of publication bias we strongly urge the reader to pay sufficient attention to this problem using the results of this study.

Perform systematic reviews, meta-analysis and meta-regression analysis that meet the following agreements and report changes to ongoing agreements. The methodology and design of the system evaluation protocol are consistent with the recommendation report project (PRISMA-P) for system evaluation and meta-analysis and can be used as an additional document of the program (see Attachment 1). The contract is registered with PROSPERO (CRD 42015019268). Includes all quantitative impact assessments, including experiments (eg randomized controlled trials), quasi-experiments (eg interruption time series analysis), and observational planning methods (eg pool time series and cross section analysis). Based on our pilot results, we expect that most of the studies that we encounter may be observational (see Attachment 2 to the Experimental Search Strategy)

Celebrity influence on health related knowledge, attitudes, behavior, and circumstances results: systematic review, meta-analysis, and meta regression analysis

Background: Emergency department latency is an important indicator to measure the quality of hospital services, which has a significant impact on patient satisfaction The aim of this study is to systematically review the patient's latency in hospital emergencies and Meta analysis was to do. Iran's division method: To collect data from the Web of Science, Embase, PubMed, Scopus, Google Scholar, SID, and Iran Medex databases, use the following keywords: Search for articles "Emergency Room", "Emergency Room", "Wait Time", "Time Delay" "First Visit", "Initial Treatment", "Emergency Department", "Iran", and their Persian equivalent In order to select the time zone from 2000 to 2016 please. 2 (integrated meta-analysis) software

Patient latency in emergency departments of Iranian hospitals: systematic review and meta-analysis

Delayed hospital admission to the medical emergency department is a sustained problem in healthcare systems primarily due to the long latency for patient service in other departments of the hospital. To increase the number of patients waiting in the emergency room, hospitals either use an open, unfunded bed, put the patient on the corridor stretcher, or selective surgery to increase the bed Cancel. Oculys Health Informatics has developed a solution that provides real-time updates and links teams and their leaders to important operational information. Progress in hospital facility technology known as Oculys Performance simplifies communication and data in patient care, improves overall operational efficiency, and shortens hospitalization period