Arrival time pattern and waiting time distribution of patients in the emergency outpatient department of a tertiary level health care institution of North India (original) (raw)
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Study of Patient Waiting Time at Emergency Department of a Tertiary Care Hospital in India
2014
The study was conducted in the Emergency Department of a 2000 bedded tertiary care hospital in India for duration of 4 months beginning August 2013. All 26702 patients who arrived during the study period were taken as the sample. The aim was to evaluate the waiting time of patient’s in emergency department by studying the patient care events and their process delays during the stay at emergency department. 26702 samples registered during study period were observed for the arrival pattern. Real-time mapping of 500 randomly picked samples was observed for calculating time taken to initiate (delays) various patient care activities. Waiting line model was applied and the waiting line, server utilization, waiting time, and the Poisson distribution of the patients arriving at the New Emergency Department were calculated. Average time taken for various activities in delivery of definitive emergency care to the patient was noted
Patient Waiting Time in Emergency Department of a Tertiary Level Hospital
Journal of Preventive and Social Medicine
Background: Patient waiting time is an important factor of utilizing hospital service, patient satisfaction, quality of management etc. Hence, emergency department (ED) performance can be best assessed by measuring patients’ waiting time and affecting factors at this department. Objective: To determine patient waiting time at ED and associated factors in a tertiary level hospital. Materials and methods: This cross sectional study was conducted in ED of Chattogram Medical College & Hospital (CMCH), Bangladesh. A total of 175 patients or their attendants at ED were enrolled by convenient sampling technique. Data were collected by face- to- face interview with pretested semi-structured questionnaire and observational checklist. Descriptive statistics was used for analysis by MS Excel and SPSS 21st version windows software. Result: Around half (47.40%) was male followed by female (32%) and children (20.6%). Mean (± SD) age of the patients was 33.69 ± 21.33 years. More than half (52.6%) ...
JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES, 2019
Background: The sudden occurrence of a disaster leads to considerably high impact on population's health and on the capacity of health system to respond to the sudden surge of affected population. Emergency departments EDs play an important role in managing patients and providing high quality care in complex situations. Pre existing bottle necks in the emergency service delivery reduces the existing surge capacity of system and renders ED inefficient in providing timely and quality care to patients affected by the disaster. The understanding of patient flow by the hospital can improve the overall efficiency of operations on day to day basis and emergency response. Methodology: This was a cross sectional survey involving all the tertiary care hospitals of Khyber Pakhtunkhwa province of Pakistan. 910 patients were selected using non probability sampling and patient's progress through ED was mapped and timed from the entry to discharge or admission. Results: Major bottle necks identified during process mapping were overcrowding and long waiting times. Median processing time from entry to disposition was 50mins (IQR 28-72). The median service time experienced by the patients during their treatment in the ED was 15 mins (IQR 15-28.75 min). Overall median waiting time for all processes through which patients passes during their visit to ED was 26 mins (IQR 14-40 mins). The patients who required diagnostic tests (lab, radiology, EG etc) had significantly higher (p=0.00) median waiting time 41 (IQR 32-51) mins. Conclusion: When process mapping is conducted properly, it proves to be a valuable tool for service improvement by identifying flaws in flow of patients, potential bottle necks and duplicate processes. Improving flaws in patient flow can improve patient waiting time which in turn can improve hospital's existing surge capacity.
Role of Waiting Line Model in Reducing the Patient’s Waiting Time In The Emergency Department
Journal of Medical Science And clinical Research, 2015
Timely health aid affects the prospects of patient life. In critical cases waiting for the patient will definitely ruin the opportunity of the life. Many previous studies elaborate occurrences of the patient's waiting time in the Emergency Department all over the world which directly affects the patient satisfaction level and finally reducing the performance of the hospital. Total five types of patient waiting time are observed by the researcher. These patient's waiting times stop the patient flow at various steps. To optimize the performance of the emergency department in terms of time and other variables, there are various management techniques, such as LEAN, Six Sigma, Simulation modeling, Waiting line model, Application of Rapid Assessment team, Continuous Quality Improvement techniques. We designed randomized observational cross sectional time study in the emergency department of a multi spatiality hospital located in central India over a period of 6 months. Results: From time study, waiting times are observed which are of five types such as waiting for Ward boy, Casualty Medical Officer, Intensivist,diagnostic procedure and for Bed in ICCU or ICU or Ward. Waiting time for Intensivist and for bed in ICCU / ICU / Ward are of having high value for the patients of priority level I, II and III. For patients of priority level-I and II, time is very important.
Queue is a waiting line or the act of joining a line. It is formed when the number of customers arriving is greater than the number of customers being served during a period of time. This study is essentially focused on the queuing system of healthcare centre operations. It is mainly based on the reducing of waiting time of patients in the departments of Laboratory, Registration and Pharmacy at the Muthoot Medical Centre as these were the three departments that the hospital is facing long waiting times and complaints by the customers due to this issue. Objective of the study is to identify the reasons for long waiting times at the three selected departments of the hospital and suggest improvements to increase the efficiency for serving patients. The researcher has found out the causes of delay through observation which are recorded in cause and effect diagram of the departments and through the analysis done in each department. Queuing model was used to know the average waiting time per person in each department. It also helped to identify where the delay occurs in the process. This study provides suggestions to the hospital management to introduce a token system at the registration, decrease waiting time by increasing the servers, and to keep the patients occupied during the waiting period in-order to significantly reduce the waiting time in the departments of study.
Journal of Pharmaceutical Research International, 2021
Background: Prolonged waiting period for patients usually observed in outpatient service and this trouble come up with number of public health problems, weaken access to care interference of hospital work system and patient dissatisfaction. It is habitual to detect patient care being delay as prolonged waiting time, and patient many time expend more time in waiting than consultation. This study aims to reduce waiting time at outpatient department for total time management at AVBRH, Wardha. Objectives: 1. To determine average waiting period in outpatient department and factor related for prolonged waiting. 2. Provide recommendations on utilization of waiting period . Methodology: It will be an observational cross sectional stud conducted at AVBRH Wardha. OPD patients at AVBRH will be included in the study. Data will be collected over a period of 2 months by direct field observation and will be appropriately analyzed. Expected Results: Reduction of waiting period by total time manag...
Wait Time in Emergency Department ED Processes
Medical Archives, 2012
I ntroduction: Emergency Department (ED) provides urgency clinical and Para clinical care for patients who injured in accidents and incidents. Simulation is one of the decision supporting techniques that analyze risk factors and strategies in decision-making. Goal: The aim of this study was to determine the waiting time in emergency department services at Ayatolahkashani Hospital to propose scenarios for reducing waiting time. Methods: This study was an analytical and cross-sectional in which data collected by forms and observations. Population included waiting and service time in all stations related to ED's treatment processes along with diagnostic departments (e.g. Laboratory, Radiology, Ultrasonography, and C-T Scan) over a two-week period for 663 patients. For data analysis, SPSS software and simulation technique were used. Results: Results show that add one intern to the Ear Nose Throat (ENT) service makes the most reduction on the waiting time from 112.19 to 99.24 minutes. In this option the mean of ENT services time will be reduced to 26.54 minutes, neurology services time will be reduced to 6.58 minutes and the mean of orthopedic services time were reduced to 5.98 minutes. Conclusion: Health care managers, in the ED are usually physicians who are not familiar with principals of management. Hence, they need simple tools for logical decision-making. Operation research methods such as simulation should be suitable for them.
Background: Gujarat Medical Education Research society started GMERS medical college and tertiary care Hospital in Valsad since last 4 years. As civil Hospital is converted in to tertiary care hospital and many of the departments running in different buildings so, searching the concern OPDs is difficult for patients, waiting time and patients satisfaction is important to avail the services. Patient satisfaction is one of the important goals of any health system, but it is difficult to measure the satisfaction. Aims & objectives were (1) to study the waiting time at various Out Patient Department (OPDs). and various investigation; (2) To study the accessibility of various department of hospital; (3) To study the patient satisfaction on hospital process, behavior of hospital staff and treatment cost. Methods: This was a cross sectional observational study conducted in G.M.E.R.S. Hospital-Valsad for the period of 2 months and total 135 patients were interviewed availing the OPD Services. Results: The mean age of patient attending the OPD was 30.31±15.65 years and majority of them are female patient (54.07%). Hospital staff (48.89%) was main source of guidance for searching the OPDs for consulting the doctor. 54.07% patient registered 20 min after standing in queue. The mean waiting time was 12.16±2.35 min. 94.07% and 98.52% patients were satisfied with treatment cost and behavior of staff respectively. Conclusions: Many patients face the difficulties in finding the various departments. On an average 12 minutes of waiting time outside the various O.P.Ds. They were also satisfied with the treatment cost and behaviour of hospital staff.
Global Journal of Health Science, 2015
Background & Aims: Measuring 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 & Methods: This 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. Results: The 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. Conclusion: According 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.
Achieving wait time reduction in the emergency department
Leadership in Health Services, 2010
PurposeThe purpose of this paper is to provide details on a study to determine the wait time and service time for various emergency department (ED) patient care processes and to apply the science of plan‐do‐study‐act (PDSA) cycles to improve patient flow.Design/methodology/approachThe paper used direct observation to collect patient flow data on 1,728 patients at multiple ED sites in Saskatchewan, Canada. It calculated wait times and services associated with important care processes and then tested, measured and implemented ideas to reduce wait time.FindingsOn an average, patients spend nearly five hours in the ED with about one‐half of the visit devoted to waiting for the next required service to take place. Waiting for an inpatient bed, specialist consultation or physician reassessment comprised relatively long wait times. Through the use of visual reminders and standard process worksheets, quality improvement teams were able to achieve large reductions in physician reassessment w...