A survey on the Patient Waiting Time at the Out Patient Department of a Type A Base Hospital in Galle District

Author(s):  
Liyanage D.H
2020 ◽  
Vol 11 (05) ◽  
pp. 857-864
Author(s):  
Abdulrahman M. Jabour

Abstract Background Maintaining a sufficient consultation length in primary health care (PHC) is a fundamental part of providing quality care that results in patient safety and satisfaction. Many facilities have limited capacity and increasing consultation time could result in a longer waiting time for patients and longer working hours for physicians. The use of simulation can be practical for quantifying the impact of workflow scenarios and guide the decision-making. Objective To examine the impact of increasing consultation time on patient waiting time and physician working hours. Methods Using discrete events simulation, we modeled the existing workflow and tested five different scenarios with a longer consultation time. In each scenario, we examined the impact of consultation time on patient waiting time, physician hours, and rate of staff utilization. Results At baseline scenarios (5-minute consultation time), the average waiting time was 9.87 minutes and gradually increased to 89.93 minutes in scenario five (10 minutes consultation time). However, the impact of increasing consultation time on patients waiting time did not impact all patients evenly where patients who arrive later tend to wait longer. Scenarios with a longer consultation time were more sensitive to the patients' order of arrival than those with a shorter consultation time. Conclusion By using simulation, we assessed the impact of increasing the consultation time in a risk-free environment. The increase in patients waiting time was somewhat gradual, and patients who arrive later in the day are more likely to wait longer than those who arrive earlier in the day. Increasing consultation time was more sensitive to the patients' order of arrival than those with a shorter consultation time.


Author(s):  
Martin Lariviere ◽  
Sarang Deo

First National Healthcare (FNH) runs a large network of hospitals and has worked to systematically reduce waiting times in its emergency departments. One of FNH's regional networks has run a successful marketing campaign promoting its low ED waiting times that other regions want to emulate. The corporate quality manager must now determine whether to allow these campaigns to be rolled out and, if so, which waiting time estimates to use. Are the numbers currently being reported accurate? Is there a more accurate way of estimating patient waiting time that can be easily understood by consumers?


2017 ◽  
Vol 15 (1) ◽  
pp. 846-846 ◽  
Author(s):  
Benjamin C. Loh ◽  
Kheng F. Wah ◽  
Carolyn A. Teo ◽  
Nadia M. Khairuddin ◽  
Fairenna B. Fairuz ◽  
...  

Author(s):  
Kayoko Ohashi ◽  
Toshiya Katayama ◽  
Maki Kato ◽  
Suguru Araki ◽  
Reiko Yasuda ◽  
...  

2019 ◽  
Vol 7 (2) ◽  
pp. 132
Author(s):  
Feliana Mirnawati ◽  
Sutopo Patria Jati ◽  
Johanes Sugiarto

Background: Radiotherapy is an important cancer therapy in Indonesia. For hospitals which have provided radiotherapy tools for more than five years, they need to evaluate its utilization and influence on patients’ condition.Aim: This study aims to analyze the use of Linac for radiating breast cancers in one of a type-C private hospital in Central Java by using Health Technology Assessment.Method: This study is an observational and descriptive study with an in-depth interview. There were 72 medical record documents examined. Furthermore, the researchers calculated the profits from the financial feasibility of tool investment gained by the hospital. This study involved six Key Informants and four triangulation informants.Results: This study shows that in terms of effectivity aspect, one Linac can prolong patient waiting time about 2-4 weeks. Such a long waiting time may cause disease progression to increase. Meanwhile, seen from the technical characteristics, the tool is not well-maintained by the internal and external parties. It causes the tool’s performance worse. In terms of the economic aspect, the tool has lasted for 7.5 years, but it technically has been utilized for ten years. Therefore, the hospital needs to supply more radiation tools.Conclusion: The Linac utilization in a year increased, and the ca mammae patient visits were high. In addition to those aspects, the profits gained from the health services were high as well. The hospital should add radiation tools to improve the radiation capacity and decrease patient waiting time.Keywords: linac, economic evaluation, Ca Mammae.


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