Efficiency indicators of the round-the-clock hospital beds of the oncologic profile in the Russian Federation

2020 ◽  
pp. 12-18
Author(s):  
V. A. Evdakov ◽  
◽  
M. N. Banteva ◽  
E. M. Manoshkina ◽  
Y. Y. Melnikov ◽  
...  
Keyword(s):  
Health Care ◽  
Length Of Stay ◽  
Russian Federation ◽  
Average Length ◽  
Hospitalization Rate ◽  
Bed Occupancy ◽  
Average Length Of Stay ◽  
Hospital Beds ◽  
Federal Districts ◽  
The Russian Federation

The steady growth trend of oncological diseases in Russia in recent years requires a response from the health care system: development of prevention aimed at early detection of diseases; improvement of methods of diagnostics and treatment of oncopathology; improving the quality and effectiveness of medical care. A i m : to identify trends in changes of the neoplasms incidence and performance indicators of oncological beds for round-the-clock stay of the state health care system in the Russian Federation, federal districts and regions of the Russian Federation in dynamics for 2010–2019. M a t e r i a l s a n d m e t h o d s . Using the data of federal statistical observation (forms NoNo. 12, 30) by the method of descriptive statistics, the main indicators of the neoplasms incidence in the population are analyzed, as well as the work of round-the-clock oncological beds in the Russian Federation, federal districts and regions of the Russian Federation in dynamics for 2010–2019. R e s u l t s . On the background of an increase in the neoplasms incidence in the population (by 24.9%), including malignant (1.5 times), for the period 2010–2019 in the Russian Federation increased: the absolute number of oncology beds of round-the-clock stay from 30,970 to 36,186 (+ 16.8%), the provision with these beds from 2.17 to 2.47 per 10,000 population (+ 13.8%), hospitalization rate from 6.1 to 9.6 per 1000 population (+ 57.4%), and decreased: the average length of stay in an oncological bed (from 12.1 days to 8.4 – by 30.6%), as well as the average bed occupancy per year (from 345 to 330 days – by 4.3%). The extreme values of the indicators of the hospitalization rate for round-the-clock oncological beds in the regions of the Russian Federation in 2019 differ 12.8 times, the provision of these beds – 9.2 times, the average bed occupancy per year – 1.5 times, the average length of stay in a bed – 2.4 times. Mortality in oncological hospital beds increased from 0.76% in 2010 to 0.95% in 2019 (by 25%). C o n c l u s i o n . The 24-hour oncological bed capacity, against the background of the growth of oncological morbidity, has naturally increased, but at the same time it is characterized by an extreme disproportionality of development in the Federal Districts and the regions of the Russian Federation. Optimization of the bed fund should be carried out based on the objective needs of a particular region, taking into account its characteristics and with the simultaneous development of alternative medical services.

DYNAMICS OF THE MAIN INDICATORS OF HOSPITAL BEDS CARDIOLOGICAL HOUR AND DAY OF STAY IN THE RUSSIAN FEDERATION

2020 ◽  
Vol 5 (4) ◽  
pp. 43-49
Author(s):  
E. Manoshkina ◽  
M. Bant'eva ◽  
V. Kuznecova
Keyword(s):  
Length Of Stay ◽  
Medical Care ◽  
Russian Federation ◽  
Average Length ◽  
Health Resources ◽  
Average Length Of Stay ◽  
Hospital Beds ◽  
The Russian Federation ◽  
Day Hospitals ◽  
Observation Period

. For the period 2010-2018, the number of cardiac macroglobulinov stay in the Russian Federation decreased from 55477 before 49578 (10.6%),polysilazane hospitalizations for cardiac beds (from 9.3 to 10.8 per 1,000 population – 16.1%),decreased provision of cardiological beds (from 3.88 to 3.38 per 1000 population – by 12.9%), the average length of stay for cardiac bed (from 13.1 to 9.1 tnado – by 26.0%) and average employment cardiology bed per year (from 340 to 327 days – 3.8%). Mortality in cardiac beds in the Russian Federation decreased from 1.96% in 2010 to 1.89% in 2018 (by 3.6%).The provision of places for the Russian population in day hospitals of cardiological profile of organizations providing medical care in inpatient conditions increased by 19.6% (from 0.12 per 10,000 population in 2010 to 0.14 in 2018), and in day hospitals of organizations providing medical care in outpatient conditions decreased by 11.5% (from 0.15 per 10,000 population in 2014 up to 0.14 in 2018).In the Russian Federation, during the observation period, the level of hospitalizations in day hospitals of organizations providing medical care in inpatient conditions increased by 43.6%, and the GVA of the cardiological profile of organizations providing medical care in outpatient conditions increased by 5.2%. The dynamics of indicators of the bed Fund of cardiology profile in recent years indicates the process of inpatient replacement, which is undoubtedly one of the ways to improve the efficiency of using health resources.

PRODUCTIVITY INDICATORS OF THE DAILY STAY BED FUND IN THE RUSSIAN FEDERATION

2020 ◽  
Vol 6 (2) ◽  
pp. 46-49
Author(s):  
Yuriy Mel'nikov ◽  
M. Bant'eva ◽  
A. Smyshlyaev
Keyword(s):  
Russian Federation ◽  
Average Length ◽  
Developed Countries ◽  
Hospitalization Rate ◽  
Bed Occupancy ◽  
Average Length Of Stay ◽  
Negative Point ◽  
The World ◽  
The Russian Federation ◽  
Productivity Indicators

The process of reducing round-the-clock bed fund with simultaneous development of hospital-replacing technologies, namely daily stay hospitals, has been going on in the Russian Federation, for more than twenty-five years, a similar trend has been observed in recent decades in most developed countries of the world. From 2010 to 2018 provision of the population with beds of daily stay hospitals in the Russian Federation moderately increased from 15.4 per 10,000 to 17.0 (an increase of 10.7%). Hospitalization rate of the population in daily stay hospitals in the country increased from 41.9 per 1,000 population in 2010 to 56.3 in 2018 (an increase of 34.5%). At the same time, the average bed occupancy per year in daily stay hospitals for the study period decreased from 311 days to 301 days (the decrease was 3.1%). The average length of stay in daily hospitals bed decreased from 11.4 to 10.1 days (the decrease was 11.7%). The positive dynamics of most of the studied indicators testifies to the development of the network of daily stay hospitals in the Russian Federation, the negative point is the reduction of average bed occupancy per year, what may indicate a decrease of the intensity of use of the bed fund of daily stay hospitals in the country.

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

MAIN INDICATORS OF THE NEUROLOGICAL PROFILE BED FUND OF ROUND-THE-CLOCK AND DAILY STAY HOSPITALS IN THE RUSSIAN FEDERATION AND ITS REGIONS

2020 ◽  
Vol 6 (2) ◽  
pp. 50-56
Author(s):  
Yuriy Mel'nikov ◽  
M. Bant'eva ◽  
E. Manoshkina
Keyword(s):  
Russian Federation ◽  
Extreme Values ◽  
Average Length ◽  
Developed Countries ◽  
Absolute Number ◽  
Average Length Of Stay ◽  
Hospital Beds ◽  
The Russian Federation ◽  
Stay Hospital ◽  
Average Occupancy

In the Russian Federation the process of reduction of the round-the-clock bed fund with the simultaneous development of hospital-replacing technologies has been going on for more than twenty-five years, as well as, in most developed countries of the world, in recent decades.From 2010 to 2018 the absolute number of neurological round-the-clock hospital beds in the Russian Federation, as well as hospital beds of most other profiles, has significantly decreased: from 73754 to 64116 (by 13.1%), as well decreased the hospitalization rate (from 12.6 to 12.2 per 1000 population —  by 3.2%) and the provision of these beds (from 5.16 to 4.37 per 10,000 population —  by 15.3%), the average length of stay in a neurological bed (from 13.7 to 11.3 days —  by 17.5%) and its average occupancy per year (341 to 328 days —  by 3.8%). In 2018, the extreme values of the indicator of the provision of the population with hospital beds of the neurological profile of round-the-clock stay in the regions of the Russian Federation differed 2.5 times, what indicates the imbalance in the structural transformations of the hospital bed fund in the regions of the Russian Federation. Mortality in neurological hospital beds in the Russian Federation increased from 3.77% in 2010 to 4.17% in 2018 (by 10.6%).Thus, it is possible to conclude that a hospital-replacing function takes place in the country and there has been a redistribution of the volume of neurological care from the round-the-clock hospital beds to daily stay hospital beds, however, the bed fund of both round-the-clock and daily stay hospitals is characterized by extreme disproportionality of development in the regions of the Russian Federation, what may indicate an imbalance in structural-functional transformations, what should be carried out taking into account the characteristics of each particular region.

scholarly journals Biased and unbiased estimation of the average length of stay in intensive care units in the Covid-19 pandemic

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Nathanael Lapidus ◽  
Xianlong Zhou ◽  
Fabrice Carrat ◽  
Bruno Riou ◽  
Yan Zhao ◽  
...  
Keyword(s):  
Intensive Care ◽  
Length Of Stay ◽  
Average Length ◽  
Parametric Method ◽  
Estimation Methods ◽  
Unbiased Estimation ◽  
Bed Occupancy ◽  
Average Length Of Stay ◽  
Discharged Patients ◽  
First Admission

Abstract Background The average length of stay (LOS) in the intensive care unit (ICU_ALOS) is a helpful parameter summarizing critical bed occupancy. During the outbreak of a novel virus, estimating early a reliable ICU_ALOS estimate of infected patients is critical to accurately parameterize models examining mitigation and preparedness scenarios. Methods Two estimation methods of ICU_ALOS were compared: the average LOS of already discharged patients at the date of estimation (DPE), and a standard parametric method used for analyzing time-to-event data which fits a given distribution to observed data and includes the censored stays of patients still treated in the ICU at the date of estimation (CPE). Methods were compared on a series of all COVID-19 consecutive cases (n = 59) admitted in an ICU devoted to such patients. At the last follow-up date, 99 days after the first admission, all patients but one had been discharged. A simulation study investigated the generalizability of the methods' patterns. CPE and DPE estimates were also compared to COVID-19 estimates reported to date. Results LOS ≥ 30 days concerned 14 out of the 59 patients (24%), including 8 of the 21 deaths observed. Two months after the first admission, 38 (64%) patients had been discharged, with corresponding DPE and CPE estimates of ICU_ALOS (95% CI) at 13.0 days (10.4–15.6) and 23.1 days (18.1–29.7), respectively. Series' true ICU_ALOS was greater than 21 days, well above reported estimates to date. Conclusions Discharges of short stays are more likely observed earlier during the course of an outbreak. Cautious unbiased ICU_ALOS estimates suggest parameterizing a higher burden of ICU bed occupancy than that adopted to date in COVID-19 forecasting models. Funding Support by the National Natural Science Foundation of China (81900097 to Dr. Zhou) and the Emergency Response Project of Hubei Science and Technology Department (2020FCA023 to Pr. Zhao).

BED FUND OF THE RUSSIAN FEDERATION: DYNAMICS OF ITS MAIN INDICATORS

2020 ◽  
Vol 5 (4) ◽  
pp. 50-56
Author(s):  
M. Bant'eva ◽  
E. Manoshkina ◽  
Yuriy Mel'nikov
Keyword(s):  
Russian Federation ◽  
Day Care ◽  
Treatment Duration ◽  
Extreme Values ◽  
Bed Occupancy ◽  
Functional Optimization ◽  
Average Treatment ◽  
Hospital Beds ◽  
Hospital Bed ◽  
The Russian Federation

Despite the fact that the process of structural and functional optimization of the hospital bed fund is currently underway, the basis for the provision of medical care remains the assistance provided in around the clock and day time hospitals, which is the most costly because it requires the constant involvement of a large amount of staff, material, technical, financial and other types of resources. The main indicators of the bed fund in around the clock and daily stay hospitals in the Russian Federation, Federal District and regions in dynamics for 2010-2018, as well as mortality in around the clock hospitals, are analyzed using descriptive statistics. In the Russian Federation from 2010 to 2018 the absolute number of hospitals decreased from 5705 to 4323 (by 24.2%), both due to the reduction in the number of hospital beds and in connection with the unification of medical organizations. At the same time, the number of round-the-clock beds decreased from 1250120 to 1044875 (by 16.4%); provision with hospital beds decreased (from 87.5 to 71.1 per 10,000 population - by 18.7%), the average treatment duration (from 12.6 days to 10.7 - by 15.1%) and, unfortunately, average bed occupancy per year (from 325 to 313 days - by 3.7%). In 2018, the extreme values of the indicator of hospitalization rate for 24-hour hospital beds in the regions of the Russian Federation differ 1.8 times, provision with hospital beds - 2.9 times, average bed occupancy per year - 1.2 times, average treatment duration - 1 8 times. The established differences may indicate an imbalance in the ongoing structural transformations. The overall mortality rate in the Russian Federation increased: from 1.5% in 2010 to 1.9% in 2018 (by 28.4%), a similar trend was observed in all regions. The provision of beds in day care hospitals increased from 15.4 per 10,000 in 2010 to 17.0 in 2018 (10.7%). Multidirectional tendencies are noted, both towards increasing and decreasing the number of places in day hospitals, both in the Federal Districts as a whole and in individual regions. The extreme values of the indicator of the provision of places for day care hospitals in the regions of the Russian Federation differ by 30 times, what reflects the disproportionate organization of a network of day care hospitals in the country's regions. During the observation period in the Russian Federation, the level of hospitalization in round-the-clock hospitals decreased from 222.0 to 203.5 per 1000 population (by 8.3%), while the level of hospitalizations in day care hospitals steadily increased from 26.4 to 35.0 per 1,000 (32.8%), what indicates the implementation of the expected hospital-replacing function of day care in the country as a whole. The issue of further structural and functional optimization of the hospital bed fund of the country remains relevant.

scholarly journals SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN RUMAH SAKIT DENGAN PELAYANAN RAWAT INAP TERBAIK

2020 ◽  
Vol 6 (4) ◽  
pp. 55-62
Author(s):  
Chintya Puspa Dewi ◽  
Mustika Mentari
Keyword(s):  
Length Of Stay ◽  
Average Length ◽  
Ideal Solution ◽  
Bed Occupancy ◽  
Average Length Of Stay ◽  
Order Preference ◽  
Simple Additive Weighting ◽  
Topsis Technique ◽  
Turn Over

Rumah sakit adalah tempat pelayanan kesehatan yang pasti sangat diperlukan oleh masyarakat.Pelayanan tersebut dilihat dari efisiensi, sarana dan prasarana yang memadai, dan faktor lainnya. Efisiensi pelayanan rawat inap juga termasuk hal yang penting bagi pasien, khususnya yang harus dirawat di rumah sakit. Pihak rumah sakit melakukan sensus harian untuk meninjau dan meningkatkan kualitas pelayanan rawat inap. Kriteria pelayanan rawat inap adalah BOR (Bed Occupancy Ratio), BTO (Bed Turn Over), TOI (Turn Over Interval), dan AVLOS (Average Length of Stay). Untuk kemudahan dalam memilih, maka dibutuhkan sistem pendukung keputusan sebagai alat. Rumah sakit yang akan dijadikan pilihan oleh peneliti adalah rumah sakit yang ada di wilayah Kota Batu. Metode yang digunakan adalah gabungan SAW (Simple Additive Weighting) dan TOPSIS (Technique For Order Preference By Similiarity To Ideal Solution). Metode ini dipilih karena menggunakan persamaan matematis yang lebih sederhana untuk mendapatkan solusi terbaik. Hasil pengujian dapat digunakan untuk membantu masyarakat dalam pemilihan rumah sakit.

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

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