scholarly journals A study of waiting time of patients in outpatient department of armed forces Tertiary Hospital in Northern India

2020 ◽  
Vol 7 (4) ◽  
pp. 125-127
Author(s):  
Rajeev Saxena ◽  
◽  
Sartaj Sharma ◽  
Vivek Sharda ◽  
Nalini G ◽  
...  
2020 ◽  
Vol 54 (4) ◽  
pp. 231-237
Author(s):  
Lateefat B. Olokoba ◽  
Kabir A. Durowade ◽  
Feyi G. Adepoju ◽  
Abdulfatai B. Olokoba

Introduction: Long waiting time in the out-patient clinic is a major cause of dissatisfaction in Eye care services. This study aimed to assess patients’ waiting and service times in the out-patient Ophthalmology clinic of UITH. Methods: This was a descriptive cross-sectional study conducted in March and April 2019. A multi-staged sampling technique was used. A timing chart was used to record the time in and out of each service station. An experience based exit survey form was used to assess patients’ experience at the clinic. The frequency and mean of variables were generated. Student t-test and Pearson’s correlation were used to establish the association and relationship between the total clinic, service, waiting, and clinic arrival times. Ethical approval was granted by the Ethical Review Board of the UITH. Result: Two hundred and twenty-six patients were sampled. The mean total waiting time was 180.3± 84.3 minutes, while the mean total service time was 63.3±52.0 minutes. Patient’s average total clinic time was 243.7±93.6 minutes. Patients’ total clinic time was determined by the patients’ clinic status and clinic arrival time. Majority of the patients (46.5%) described the time spent in the clinic as long but more than half (53.0%) expressed satisfaction at the total time spent at the clinic. Conclusion: Patients’ clinic and waiting times were long, however, patients expressed satisfaction with the clinic times.


2021 ◽  
Vol 39 (3) ◽  
pp. 154-159
Author(s):  
Mahbuba Sultana ◽  
Sayla Chowdhury ◽  
Abdullah Al Amin

Background: Since the first detection on 8th March 2020 in Bangladesh, the number of cases is rising alarmingly. The paediatric population is also getting infected in Bangladesh. So far there is no study of COVID in children in this country. Aim: This study reports on clinical profile, laboratory findings and outcomes of COVID-19 children admitted to Combined Military Hospital (CMH), Dhaka. Materials and Methods: In this prospective observational study, RT-PCR confirmed fifty COVID-19 patients aged below twelve years were included. Relevant investigations were done in the Armed Forces Institute of Pathology (AFIP). Data were collected from patients and/or their attendants by a structured questionnaire. Results: Mean age was 59.96±43.24 months, 48% were male and 52% were female. Predominant symptoms were fever (44%), cough (26%), anosmia (26%) and diarrhea (12%). There was neutropenia in 66% and lymphocytosis in 84% of cases. Mean neutrophil and lymphocyte counts were 38±13% and 52.5±13%, respectively. Significantly raised CRP observed in 14% and high serum procalcitonin was in10% of cases. Serum LDH, D-Dimer and ferritin were raised in 80%,34% and 6% of affected children, respectively. The majority (98%) of the children were improved and discharged from the hospital. One child died in this cohort. Conclusion: Fever and cough were the predominant symptoms of COVID-19 affected children in this study. Lymphocytosis and neutropenia were two important laboratory finding. Death in COVID-19 is also not uncommon. J Bangladesh Coll Phys Surg 2021; 39(3): 154-159


2013 ◽  
Vol 11 (1) ◽  
pp. 33-37
Author(s):  
Rajani Giri ◽  
R Bhandari ◽  
I Mahato ◽  
M Poudel ◽  
S Kumari ◽  
...  

Background: Breast problems are common among female patient attending general outpatient. Although the problem is expected to have significant morbidity, patients usually hide or present late for breast related problems in Nepal. Objective: To measure the pattern of breast diseases and its frequency and distribution in different age groups among patients attending general outpatient department at BPKIHS, Nepal. Methods: A crosssectional study was conducted in general outpatient department (GOPD) of B.P.Koirala Institute of Health Sciences (BPKIHS) during a period of six months. Women of all age groups presenting with breast problem were included. Clinical assessment, fine needle aspiration cytology (FNAC) and radiology were done. Mammography being unavailable at the hospital, ultrasonography was the preferred method of imaging. Results: Hundred cases of breast diseases were assessed. The benign breast disease (BBD) was the commonest finding (96%). Among BBD, fibroadenoma was the commonest (32%) followed by breast abscess (26%) and mastalgia (22%) including cyclic and non cyclic. The common age groups of involvement were 30-39 years for fibroadenoma, 20-29 years for breast abscess, 30-39 years for cyclic mastalgia, 40- 49 years for non cyclic mastalgia and 70-79 years for breast cancer. Conclusion: BBD is the most common breast problem in women. Among BBD, fibroadenoma was the most common. Health Renaissance, January-April 2013; Vol. 11 No.1; 33-37 DOI: http://dx.doi.org/10.3126/hren.v11i1.7599


2019 ◽  
Vol 25 (3) ◽  
pp. 136-143
Author(s):  
Felicitas Ugochinyere Idigo ◽  
Kenneth Kalu Agwu ◽  
Obinna Emmanuel Onwujekwe ◽  
Mark Chukwudi Okeji ◽  
Angel-Mary Chukwunyelu Anakwue

2013 ◽  
Vol 11 (8) ◽  
pp. 639-640
Author(s):  
Anders Hulme ◽  
Alex Gan ◽  
Meera Beena ◽  
Chidozie Ejikeme ◽  
Surya Narayan

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ming-Shu Chen ◽  
Kun-Chih Wu ◽  
Yu-Ling Tsai ◽  
Bernard C. Jiang

Abstract Background This study aimed to reduce the total waiting time for high-end health screening processes. Method The subjects of this study were recruited from a health screening center in a tertiary hospital in northern Taiwan from September 2016 to February 2017, where a total of 2342 high-end customers participated. Three policies were adopted for the simulation. Results The first policy presented a predetermined proportion of customer types, in which the total waiting time was increased from 72.29 to 83.04 mins. The second policy was based on increased bottleneck resources, which provided significant improvement, decreasing the total waiting time from 72.29 to 28.39 mins. However, this policy also dramatically increased the cost while lowering the utilization of this health screening center. The third policy was adjusting customer arrival times, which significantly reduced the waiting time—with the total waiting time reduced from 72.29 to 55.02 mins. Although the waiting time of this policy was slightly longer than that of the second policy, the additional cost was much lower. Conclusions Scheduled arrival intervals could help reduce customer waiting time in the health screening department based on the “first in, first out” rule. The simulation model of this study could be utilized, and the parameters could be modified to comply with different health screening centers to improve processes and service quality.


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