Evidence map›Paper›PMID 26234969›Full record

Observational studyGlobal journal of health science2015

Measuring and Analyzing Waiting Time Indicators of Patients' Admitted in Emergency Department: A Case Study.

Saeed Amina, Ahmad Barrati, Jamil Sadeghifar, Marzeyh Sharifi, Zahra Toulideh, Hasan Abolghasem Gorji, Negar Feazbakhsh

Abstract readObservational Study
In one paragraph

Observational study in Global journal of health science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Saeed AminaPhD Student in Health Services Management, School of Management and Medical Information Science, Iran University of Medical Sciences, Tehran, Iran. s_amina4@yahoo.co.uk.
Ahmad Barrati
Jamil Sadeghifar
Marzeyh Sharifi
Zahra Toulideh
Hasan Abolghasem Gorji
Negar Feazbakhsh

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

aimsMeasuring and analyzing of provided services times in Emergency Department is the way to improves quality of hospital services. The present study was conducted with aim measuring and analyzing patients waiting time indicators in Emergency Department in a general hospital in Iran. MATERIAL &

methodsThis cross-sectional, observational study was conducted during April to September 2012. The study population consisted of 72 patients admitted to the Emergency Department at Baharlo hospital. Data collection was carried out by workflow forms. Data were analyzed by t. test and ANOVA.

resultsThe average waiting time for patients from admission to enter the triage 5 minutes, the average time from triage to physician visit 6 minute and the average time between examinations to leave ED was estimated 180 minutes. The total waiting time in the emergency department was estimated at about 210 minutes. The significant correlation between marital status of patients (P=0.03), way of arrive to ED (P=0.02) and type of shift work (P=0.01) with studied time indicators were observed.

conclusionAccording to results and comparing with similar studies, the average waiting time of patients admitted to the studied hospital is appropriate. Factors such as: Utilizing clinical governance system and attendance of resident Emergency Medicine Specialist have performed an important role in reducing of waiting times in ED.

Indexed as

Waiting ListsAdultAgedCross-Sectional StudiesEmergency Service, HospitalFemaleHumansIranMaleMiddle AgedTime and Motion StudiesTriageWorkload

Identifiers

PMID26234969
PMCPMC4803980

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.