Thesis (Ph. D.)--University of Akron, Dept. of Public Affairs and Urban Studies, 2007. / "May, 2007." Title from electronic dissertation title page (viewed 05/06/2008). Advisor, Raymond Cox, III; Committee members, Ralph Hummel, Nancy Grant, Lawrence Keller, Dena Hanley; Department Chair, Sonia Alemagno; Dean of the College, Ronald F. Levant; Dean of the Graduate School, George R. Newkome. Includes bibliographical references.

M.Fam.Med., Faculty of Health Sciences, University of the Witwatersrand, 2011 / Aim: to describe the pattern of attendance from patients to the Emergency Department (ED) at Carletonville Hospital and explanations for the pattern. Methods: The study used a descriptive cross sectional design, exploring the patient’s demographics, clinical domain, factors related to patients and the system, in 250 participants. Results: The typical attendee was either a female or a male, in the age group of 14 to 28 years, unemployed (60.2 %), having medical problems (30.0 %), coming during afterhours (78.8 %), using an ambulance for transportation (51.2 %) and residing in Khutsong (31.6 %). Eighty seven percent reported their problems as serious, but were coded as green (59.6 %) in the triage tool, and 79.2% were discharged after the visit. Conclusions: Need exist for educating the local community in the use of the ED, and attending other local health resources like clinics and general practitioners. Further studies are required to explore the appropriateness of ED use and help seeking behaviour of the local community.

A research report presented to the Division of Emergency Medicine, Faculty of Health Sciences, University of the Witwatersrand In partial fulfilment of the degree Master of Science in Medicine (Emergency Medicine) / Background: Private health care emergency departments (EDs) are vital components of health care systems and have become increasingly popular due to their accessibility, convenience and proficiency. This popularity has led to overcrowding which in turn has led to increased patient waiting times. Lengthy waiting times have been shown to be a common cause of patient dissatisfaction. Patients, however, often overestimate the passage of time which results in unwarranted dissatisfaction. Study objectives: The purpose of this study was to establish the actual waiting times experienced by patients from the time of triage to first doctor contact at the Dogwood Hospital Emergency Department. Design: A retrospective cross-sectional descriptive study was undertaken at the Dogwood Hospital Emergency Department from 1 st January 2009 to the 30th August 2009. All patients (adults and children) of all priority who sought medical attention at the Dogwood Hospital ED were included in the study. Main Results: Priority 3 patients waited the longest out of all patients, particularly on weekday mornings. Overall this study revealed that for 70% of patients the triage-to-doctor waiting time was less than 1 hour. Almost 24% of patients waited between one and two hours and about six percent waited more than two hours. Conclusions: Most patients in this study were seen by a doctor within the target times set by the South African Triage Group (SATG). Numerous studies suggest that patients believe that the acceptable triage-to-doctor waiting time is approximately one hour. In this study 30% of patients waited longer than one hour.

Thesis (M. Med. (Family Medicine)) -- University of Limpopo (Medunsa Campus), 2010. / Title: Waiting time of patients who present at Saint Rita’s hospital Emergency Department (ED), Limpopo province, South Africa. Objective: To determine the waiting time for stable patients who present at Saint Rita’s hospital ED, to determine where the longest time is spent by patients in ED and to identify the area of inefficient patients flow. Methods: A descriptive cross-sectional study was conducted in the ED of Saint Rita’s Regional hospital in the province of Limpopo, South Africa. During a one week period, Monday to Friday in July 2010, a daily random sample of 30 patients was monitored. The time In and Out of each step in the process of care was recorded. Waiting time was defined as the time from arrival of the patient in the ED until the start of the consultation by the Medical Officer. Time elapsed was calculated for various steps in care. Demographic data, diagnosis and acuity based on the SATS were obtained from patient’s record. Data capturing was done in window excel and data analysis done using the statistical software SPSS 17. Results: The mean waiting time for stable patients was 252.3 minutes. The mean EDLOS was 360 minutes for stable patients. Result show that 80% of patient attending Saint Rita’s ED are non-urgent (SATS: Green) cases. There was fluctuation of waiting times from Monday to Friday; with Monday having the longest waiting time and Tuesday the shortest waiting time. The waiting time for unstable patients (SATS: Red or Orange) is Zero minute. Patients spent the longest time waiting for registration (60 minutes) and for triage (57 min waiting for vitals and 28 minutes waiting for history taking). Interestingly the extremity of age: the youngest and oldest had lowest waiting time in ED. Areas of inefficient patient flow were registration and triage. Conclusion: This study has determined the waiting time for stable patients attending Saint Rita’s Regional Hospital ED. It has shown that waiting time in ED fluctuates with the day of the week. It has also shown that waiting time in ED varies with age of the patient and volume of patients in ED. Registration and triage have been identified as areas of inefficiency patients flow and recommendations for improvement have been formulated. Sustainability of the performance requires regular follow up from the hospital management.

Thesis (M.S.)--State University of New York at Binghamton, Systems Science and Industrial Engineering Department, 2006. / Includes bibliographical references.

Thesis (M. P. H.)--University of Hong Kong, 2007.

Diss. (sammanfattning) Uppsala : Univ., 2004. / Härtill 5 uppsatser.

Thesis (master's)--Be. ha-s. li-refuʼah shel ha-Universiṭah ha-ʻIvrit ṿa-Hadasah bi-Yerushalayim, Jerusalem. / Abstract in English. Title on added t.p.: Emergency health services in Jerusalem. At head of title: Mekhon Yerushalayim le-ḥeḳer Yiśraʼel; Histadrut meditsinit "Hadasah." Includes bibliographical references (p. 169-174).

Thesis (M.A.)--University of Wisconsin--Madison, 1973. / eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references.

acase@tulane.edu / Out of hospital cardiac arrest remains one of the most common causes of death in the United States. Researchers continue to study a wide variety of modifiable risk factors at the individual level and research survival with the goal of creating interventions at multiple levels to reduce mortality and morbidity. These traditional variables, however, account for only a portion of the survival, and research on neighborhood level factors has recently shown promise for explaining differences in outcomes, including short term survival. In this dissertation we seek to evaluate out of hospital cardiac arrest (OHCA) data from New Orleans, Louisiana, over the five-year period from 2012 to 2017 (n=1,602 cases) and to examine selected literature and neighborhood level variables to determine the associations with OHCA. Traditionally studied predictors of cardiac arrest, such as age, sex, race, and health status, account for less than 75 percent of the variability in survival and substantial differences in survival among communities remains unexplained. Seeking to better explain the factors influencing survival, the central hypothesis is that certain neighborhoods, delineated by census tracts in New Orleans (n=172), have previously unidentified characteristics, namely violent crime, which contribute to increased incidence of cardiac arrest. First, we examine the level of association between violence in neighborhoods and incidence of cardiac arrest. Then, we examine the role of bystander CPR and what correlations with neighborhood violent crime rates may exist. Finally, we examine ambulance response times in neighborhoods with high rates of violent crime. We find that those neighborhoods with higher rates of violent crime are more likely to have higher rates of cardiac arrest, to a statistically significant level. We also identify opportunities for public health interventions based upon analysis of rates of both witnessed cardiac arrests and bystander CPR provision, as well as ambulance response times to cardiac arrests in neighborhoods with high rates of violent crime. / 1 / Aaron Miller