scholarly journals Percent Bed occupancy rate in a selected specialized tertiary care hospital in Dhaka city

1970 ◽  
Vol 11 (1) ◽  
pp. 18-24 ◽  
Author(s):  
H Rahman ◽  
SME Haque ◽  
MA Hafiz
Keyword(s):  
Length Of Stay ◽  
Tertiary Care Hospital ◽  
Average Length ◽  
Tertiary Care ◽  
Calculated Data ◽  
Care Hospital ◽  
Dhaka City ◽  
Occupancy Rate ◽  
Bed Occupancy ◽  
Average Length Of Stay

Background and Aims: Providing a necessary care for a sick person outside home 'in hospes or hospital' dates back to nearly 300 century BC. In the present day hospital care facilities has been taken an institutional shape both in public and private sector. A hospital bed is both a scarce and expensive commodity in healthcare. Administrators running hospitals are in a dire need of objective measures and methods for efficient management of their limited financial resources. Bed utilization rates can be of immense help in realistic and effective decision making. The present study was undertaken to explore utilization of bed in a specialized tertiary care hospital in the Dhaka city. Methods: Hospital records of the year were reviewed- age, gender, disease profile, duration of hospital stay, outcome of treatment were recorded and bed occupancy rate was calculated. Data were presented as number, percentage and/ or mean SD, as appropriate. The dada were managed by Statistical Package for Social Science (SPSS) for Windows Version 10. Results: The results showed in the year 2001 total number of admissions were 13,305 of which 9953 (74.8%) were male and 3352 (25.2%) female. Average monthly admission was 1109. Maximum number of admissions (1304) was observed in the month of September of that year. Male admission rate was higher than female admission throughout the year. Among all the admission 27.2% were of road traffic accident cases. Among the admitted patients there was 57.3% discharge with advice, 1.9% death, 14.6% discharge on request bond, 12.7% discharge on request. Of all the admission there 12.5% found to be absconded. Bed occupancy rate was 79.75% and average length of stay in the hospital 18.47 days. Conclusions: The present data suggest that (i) in terms of bed occupancy rate the NITOR found to run in optimal capacity which, however, might be attributed to the relative high rate of ascendance and discharges on requests; (ii) average length of stay of patients appeared to be relatively longer and (iii) the management need to look into the issue and take appropriate measures to reduce patients unwanted long duration of stay and make the tertiary care hospital improve the quality of services. DOI: http://dx.doi.org/10.3329/bjms.v11i1.9817 BJMS 2012; 11(1): 18-24

scholarly journals Assessment of performance of services in a tertiary care Neuropsychiatric Institute using Pabon Lasso Model

2016 ◽  
Vol 7 (6) ◽  
pp. 69-74 ◽  
Author(s):  
Chandra Bhushan Tripathi ◽  
Rajesh Kumar ◽  
Ramesh Chandra Sharma ◽  
Rachna Agarwal
Keyword(s):  
Tertiary Care Hospital ◽  
Average Length ◽  
Tertiary Care ◽  
Cost Effective ◽  
Care Hospital ◽  
Bed Occupancy ◽  
Medical Sciences ◽  
Cross Sectional ◽  
Average Length Of Stay ◽  
Quantitative Performance

Background: The objective of the study to assess optimal utilisation of hospital facilities &  evaluate their performance in a tertiary care hospital using Pabon Lasso Model using indicators- bed turnover (BTO), bed occupancy rate (BOR) and average length of stay (ALS).Aims and Objective: To assess optimal utilisation of hospital facilities various wards catering to psychiatric, neurological and neurosurgery services in a tertiary care hospital using Pabon Lasso model and to identify strategies for more efficient use of the existing health service resources.Materials and Methods: This cross-sectional descriptive study was carried out in 2015 at the Institute of Human Behaviour and Allied Sciences, Delhi, India. This study involved various wards catering to psychiatric, neurological and neurosurgery facilities in the institute. Their performance was evaluated over 8 year period (2007- 2014) using three performance indicators (BTO, BOR & ALS) to assess optimal utilisation of hospital facilities.Results: Psychiatry department was initially located in quadrant IV in 2007 & shifted to quadrant III in 2014 which suggests department’s good quantitative performance with small proportion of unused beds. Similarly Neurosurgery department was in quadrant I at its inception in 2010, but shifted to quadrant III in 2014. However, Neurology department was located in quadrant III initially (2007), but shifted to quadrant II indicating either excess bed supply or less need for utilisation.Conclusion: Pabon Lasso model can be used by hospital management for evaluating the performance of health services in cost effective manner.Asian Journal of Medical Sciences Vol.7(5) 2016 69-74

scholarly journals The efficient of beds used based on graphic Barber Johnson at Semen Padang Hospital in 2017

2019 ◽  
Vol 6 (12) ◽  
pp. 5071
Author(s):  
Sayati Mandia
Keyword(s):  
Statistical Analysis ◽  
Length Of Stay ◽  
Medical Record ◽  
Medical Records ◽  
Average Length ◽  
Sampling Technique ◽  
Occupancy Rate ◽  
Bed Occupancy ◽  
Average Length Of Stay

Background: Quality of hospital services can be seen from the bed usage. Statistical analysis of efficiency bed usage can be mesured based on inpatient medical records. To determine the efficiency requires four parameters namely bed occupancy rate (BOR), average length of stay (ALoS), turnover interval (TI), and bed turnover (BTR). parameters can be presented using Graphic Barber Johnson. This study aims to determine the efficiency of bed usage at Semen Padang Hospital in 2017.Methods: This research was conducted at Semen Padang Hospital, West Sumatera, Indonesia from January to December 2017. The study used a descriptive method with a qualitative approach. The data was collected from medical records department. The population is all abstraction data of in-patient medical record in 2017, 9796 medical record used total sampling technique. Data analysis was performed by calculating the values of ALoS, BOR, BTR, and TI. Data will be presented based on graphic Barber Johnson. Excel 2010 and graphic Barber Johnson method were applied for data analysis.Results: Number of daily inpatient censuses in 2017 are 31227 and number of service days are 31362. Number of beds 144. Statistical analysis results obtained total BOR 60%, BTR 67 times, TI 2 days and ALoS 3 days. The highest value of bed occupancy rate is 66% on August.Conclusions: Based on statistical, value of bed occupancy rate (60%) and turnover interval (2 days) are efficient at Semen Padang Hospital in 2017. Average length of stay (3 days) and bed turnover rate (67 times) are not efficient.

scholarly journals ANALISIS KINERJA KEUANGAN DAN NON KEUANGAN RUMAH SAKIT SEBELUM DAN SESUDAH BADAN LAYANAN UMUM DAERAH

ProBank ◽  
2017 ◽  
Vol 2 (2) ◽  
pp. 25-35
Author(s):  
Khairana Amalia Chrishartoyo ◽  
Sri Rahayu ◽  
Djusnimar Zutilisna
Keyword(s):  
Length Of Stay ◽  
Death Rate ◽  
Average Length ◽  
T Test ◽  
Occupancy Rate ◽  
Bed Occupancy ◽  
Paired Sample ◽  
Average Length Of Stay ◽  
Turn Over

Diterbitkannya Peraturan Menteri Dalam Negeri Nomor 61 Tahun 2007 tentang Pedoman teknis Pola Pengelolaan Keuangan Badan Layanan Umum Daerah mengharuskan Pemerintah Daerah menganut PPK - BLUD dalam manajemen Rumah Sakit dalam rangka meningkatkan pelayanan kesehatan bagi masyarakat. Penelitian ini bertujuan untuk melihat perbedaan kinerja keuangan dan non keuangan RSUD Dr Moewardi sebelum dan sesudah berstatus BLUD. Kinerja keuangan diukur dengan rasio likuiditas, rasio aktivitas, rasio profitabilitas, dan rasio struktur modal. Sedangkan kinerja non keuangan diukur dengan rasio efisiensi pelayanan yaitu Bed Occupancy Rate, Bed Turn Over, Turn Over Interval, Average Length Of Stay, Gross Death Rate dan Net Death Rate. Teknik analisis yang digunakan adalah Paired Sample T Test. Hasil uji statistik menunjukkan tiga dari empat kelompok rasio keuangan yang diuji memiliki nilai Asymp. Sig. (2-tailed) kurang dari 0,05 sehingga dapat disimpulkan terdapat perbedaan signifikan pada kinerja keuangan RSUD Dr Moewardi sebelum dan sesudah BLUD, sedangkan pada rasio efiseiensi pelayanan hanya dua dari enam rasio yang memiliki nilai Asymp. Sig. (2-tailed) kurang dari 0,05 sehingga dapat disimpulkan tidak terdapat perbedaan signifikan pada kinerja efisiensi pelayananRSUD Dr Moewardi sebelum dan sesudah BLUD.Kata kunci :BLUD, kinerja keuangan, kinerja efisiensi pelayanan, rasio keuangan

scholarly journals National University Hospital discharge survey in the Islamic Republic of Iran

2000 ◽  
Vol 6 (2-3) ◽  
pp. 402-408
Author(s):  
S. M. Reza Khatami ◽  
S. K. Kamrava ◽  
B. Ghatehbaghi ◽  
M. Mirzazadeh
Keyword(s):  
Health Care ◽  
Length Of Stay ◽  
Hospital Discharge ◽  
Average Length ◽  
Health Care Service ◽  
Health Care Facilities ◽  
University Hospital ◽  
Occupancy Rate ◽  
Bed Occupancy ◽  
Average Length Of Stay

We aimed to determine the rate of hospital discharge, average length of stay and bed occupancy rate in different hospital wards around the country. The survey consisted of health care service activities from 452 university-related hospitals in the country with a total of 59 348 beds. Because of missing data, the use of 56 315 of these beds was analysed. The countrywide discharge rate was 68.32 patients/1000 population per year with an average length of stay of 3.60 days and a bed occupancy rate of 57.44%. The data could be used to design a framework for prediction of inpatient health care facilities needed in the future

scholarly journals Penilaian Tingkat Efisiensi Pengelolaan Rumah Sakit Denganaplikasi Grafik Barber-Johnson Di Rumah Sakit Usada Sidoarjo

2015 ◽  
Vol 1 (1) ◽  
pp. 74
Author(s):  
Dyan Angesti
Keyword(s):  
Length Of Stay ◽  
Average Length ◽  
Visual Basic ◽  
Occupancy Rate ◽  
Bed Occupancy ◽  
Average Length Of Stay ◽  
Turn Over ◽  
Visual Basic 6.0

ABSTRAKUpaya pemberian pelayanan terbaik kepada customer oleh pihak manajemen rumah sakit tidak dapat dipungkiri apabila membutuhkan cost yang tidak sedikit. Langkah ataupun kebijakan yang akan diambil pihak manajemen haruslah merupakan langkah yang bijak. Disinilah informasi yang dihasilkan oleh unit rekam medis memegang peranan penting. Informasi yang berkualitas menjadi bermanfaat bagi pengambil keputusan baik keperluan internal maupun eksternal rumah sakit tersebut. Penelitian ini dilakukan pada bulan Maret sampai dengan Juli 2010 bertempat di Rumah Sakit Usada Sidoarjo.Variabel pada penelitian ini adalah Bed Occupancy Rate (BOR), Bed Turn Over (BTO), Average Length of Stay (AvLOS), Turn Over Interval (TOI). Penelitian ini merupakan penelitian pengembangan dengan tujuan mengembangkan laporan rumah sakit menjadi sebuah grafik Barber Johnson menggunakan Microsoft Visual Basic 6.0 sehingga dapat dipergunakan sebagai alat bantu pengambilan keputusan bagi pihak manajemen.

The Health Sector Evolution Plan and the Technical Efficiency of Public Hospitals in IranBackground: Iranian public hospitals have been excessively changing during the healthcare reform since 2014. This study aimed to examine the technical efficiency of p

2020 ◽  
Author(s):  
Edris KAKEMAM ◽  
Hossein DARGAHI
Keyword(s):  
Length Of Stay ◽  
Technical Efficiency ◽  
Healthcare Reform ◽  
Average Length ◽  
Health Sector ◽  
Public Hospitals ◽  
Occupancy Rate ◽  
Bed Occupancy ◽  
Tobit Regression ◽  
Average Length Of Stay

Background: Iranian public hospitals have been excessively changing during the healthcare reform since 2014. This study aimed to examine the technical efficiency of public hospitals during before and after the implementation of Health Sector Evolution Plan (HSEP) and to determine whether, and how, efficiency is affected by various factors. Methods: Forty-two public hospitals were selected in Tehran, Iran, from 2012 to 2016. Data envelopment analysis was employed to estimate the technical and scale efficiency sample hospitals. Tobit regression was used to relate the technical efficiency scores to seven explanatory variables in 2016, the last year. Results: Overall, 24 (57.1%), 26 (61.9%), 26 (61.9%), 24 (57.1%) and 21 (50%) of the 42 sample hospitals ran inefficiently in 2012 to 2016, with average technical efficiency of 0.859, 0.836, 0.845, 0.905 and 0.934, respectively. The average pure technical efficiency in sample hospitals increased from 0.860 in 2010 (before the HSEP) to 0.944 in 2012 (after the HSEP). Tobit regression showed that average length of stay had a negative impact on technical efficiency of hospitals. In addition, bed occupancy rate, ratio of beds to nurses and ratio of nurses to physicians assumed a positive sign with technical efficiency. Conclusion: Despite government support, public hospitals operated relatively inefficien. Managers can enhance technical efficiency by increasing bed occupancy rate through shortening the average length of stay, proportioning the number of doctors, nurses, and beds along with service quality assurance.

Clinico-microbiological profile of health-care associated infections in a paediatric intensive care unit of tertiary care hospital

2017 ◽  
Vol 4 (2) ◽  
pp. 577
Author(s):  
Priyanka Udawat ◽  
Shalu Gupta ◽  
Vikas Manchanda ◽  
Diganta Saikia
Keyword(s):  
Health Care ◽  
Length Of Stay ◽  
Tertiary Care Hospital ◽  
Average Length ◽  
Tertiary Care ◽  
Developed Countries ◽  
Incidence Rates ◽  
Care Hospital ◽  
Microbiological Profile ◽  
Health Care Associated Infections

Background: The study was undertaken to determine the total burden of health-care associated infections, microbiological profile and their impact on length of stay and mortality in a PICU of a tertiary care Hospital by prospective surveillance.Methods: All children ≥ one month and ≤ twelve years of age admitted in PICU for more than 48 hours from December 2009 to November 2010 were followed according to CDC/NHSN surveillance definitions of HCAI. Incidence rates, incidence densities and device utilization ratio were measured for different HCAI. Length of stay and mortality of HCAI were compared with non-HCAI patients. Antibiotic susceptibility pattern of isolated micro-organism was analyzed. Results: Out of total 618 patients admitted in PICU during study period 324 fulfilled study criteria. In those 324 patients 58 patients developed 68 episodes of HCAI. The CIR and IDs’of HCAI were17.9/100 patients and 22.14/1,000 patient-days, respectively. Of the 68 episodes of HCAI, there were 36 VAP, 17 BSI, 8 UTI, 2 pneumonia, 2 LRI-LUNG and 1each of SSI-MED, SST-Skin and GI-IAB. The most common microorganism isolated was Acinetobacter spp. followed by Pseudomonas spp. HCAI increased the average length of PICU stay (20 days versus 5 days, P<0.01) and Hospital stay (28 days versus 12 days, P<0.01). Overall mortality was significantly higher in patients who developed HCAI than non-HCAI (50.9% versus 21.3%, P<0.01).Conclusions: HCAI rates were higher than developed countries. VAP was the most common HCAI followed by BSI. HCAI increased the length of stay and mortality (P<0.01). Organisms isolated in HCAI were more resistant than non-HCAI isolates.

scholarly journals Average length of stay in Level III and IV Care of Accident and Emergency Department of Tertiary care Hospital

JMS SKIMS ◽  
2011 ◽  
Vol 14 (2) ◽  
pp. 61-62
Author(s):  
Reyaz A Rangrez ◽  
Sheikh Mushtaq ◽  
Shafa Deva ◽  
Tanveer A Rather ◽  
Sameena Mufti ◽  
...  
Keyword(s):  
Length Of Stay ◽  
Average Length ◽  
Tertiary Care ◽  
Care Hospital ◽  
Emergency Admissions ◽  
Prolonged Length ◽  
Average Length Of Stay ◽  
Accident And Emergency ◽  
Time Gap

BACKGROUND: The scope of Accident and Emergency (A&E) Department is gradually broadening and in fact these are now becoming“mini hospitals within hospitals”.OBJECTIVE:To determine the average length of stay (LOS) in level III and level IV care and factors leading to prolonged length of stay.METHODS:A Hospital based study with follow up of patients received in level III and level IV of A&E Department and the patients were followed till transfer out to respective specialty wards,discharge or death.RESULTS: Emergency beds occupied 9.3% of the total hospital bed strength. Of the total emergency admissions studied, 71.1 % comprised of neurosurgical admissions followed by CVTS (21.4%), neurological (6.8%) and other admissions(1.2%). The average Length of Stay was greatest in CVTS followed by General Surgery i.e. 5.4 days and 4.6 days respectively. The time gap between investigations ordered and reports received was 1.04 days. 67% of the patients who attended A&E Department were of rural background and out of it 54% have read upto high school.CONCLUSIONS: Average Length of stay is 4.3 days which needs to be brought down to 24 hours as per international norms to provide equitable emergency care to wider population. Co-ordination between administration and cliniciansis needed to expedite theproblem.JMS2011;14(2):61-62

scholarly journals Analysis of statistic health care as indicators of efficiency service in Semen Padang Hospital through Barber Johnson graph

2020 ◽  
Vol 7 (2) ◽  
pp. 427
Author(s):  
Nurhasanah Nasution
Keyword(s):  
Length Of Stay ◽  
Turnover Rate ◽  
Statistical Data ◽  
Average Length ◽  
Level Of Service ◽  
Occupancy Rate ◽  
Bed Occupancy ◽  
Johnson Graph ◽  
Average Length Of Stay ◽  
Service Efficiency

Background: The efficiency of service delivery is very important for hospitals. One measurement of service indicators that can be used is the Barber Johnson graph (GBJ). GBJ is needed to see and measure the level of service efficiency in hospitals. The indicators used are bed occupancy rate (BOR), bed turnover rate (BTR), turnover interval (TI), and length of stay (LOS). This graph can also be used to compare or view hospital developments at different times, and to increase the likelihood of changes in one variable by changing other variables. This research was conducted at Semen Padang Hospital (SPH), Padang, West Sumatera, Indonesia.Methods: The purpose of this study was to determine the statistical value of hospital and hospital service efficiency levels by using the Barber Johnson graphic. This research method is descriptive by direct observation of the medical record file of inpatients since the January to December 2017 period.Results: Statistical data obtained from SPH in 2018 showed the value of service days 30132, and the Number of beds 144 units. From the data processing results obtained a total bed occupancy rate 60.83%, bed turnover rate 6.86 times, turnover interval 2 days and average length of stay 3 days.Conclusions: Statistical data obtained from SPH in 2018 shows the value of BOR, TI is in an efficient, while BTR and LOS are inefficient.

scholarly journals Clinical Outcome of Patients Hospitalized in a Tertiary Care Hospital of Nepal with Confirmed Influenza A/pdm 09(H1N1) in 2018/2019

2020 ◽  
Vol 18 (2) ◽  
pp. 196-200
Author(s):  
Upasana Acharya ◽  
Subhash Prasad Acharya
Keyword(s):  
Influenza A ◽  
Case Fatality Rate ◽  
Tertiary Care Hospital ◽  
Average Length ◽  
Tertiary Care ◽  
Case Fatality ◽  
Care Hospital ◽  
Fatality Rate ◽  
Hospital System ◽  
Average Length Of Stay

Background: It is important to monitor the cases affected by Influenza A/pdm09 as it is difficult to predict the behavior of Influenza A/pdm09 virus as a seasonal influenza. This study aimed to measure the clinical outcomes of patients with Influenza A/pdm 09 in a tertiary care hospital of Nepal in post pandemic period.Methods: A retrospective study was conducted in a tertiary care hospital of central Nepal to record the confirmed cases of Influenza A/pdm 09 from April 2018 to March 2019.The medical records of those patients whose throat sample had been sent to laboratory for testing Influenza A/pdm 09 were referred. The outcomes were then abstracted from the hospital system/medical record department.Results: Among 141 influenza suspected cases, 35.5%(N=50) were Influenza A/Pdm 09 positive. Both male and female were equal in distribution (N=25). Most positive cases were from the age group of 15-64 yrs. Out of total,72 %( N=36) with Influenza A/pdm 09 were discharged after treatment whereas case fatality rate was 22 %( N=11). Twenty-one positive cases were admitted in intensive care unit in which 52.4% expired. The average length of stay in I.C.U and mechanical ventilation were 6.4 days and 5.8 days respectively.Conclusions: This study in post pandemic period in Nepal shows the outcomes of patients with confirmed influenza A/pdm 09 in a year time period with comparably high case fatality rate. Keywords: Influenza A/pdm 09; Nepal; post pandemic, retrospective

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