scholarly journals Analysis of Bed Occupancy Rate (BOR) in Terms of Internal Factors (Procedures, Doctor, Nurse, Facilities and Infrastructure)

2019 ◽  
Vol 11 (13) ◽  
pp. 77
Author(s):  
Sandu Siyoto ◽  
Albert Ronald Tule
Keyword(s):  
Data Analysis ◽  
Ordinal Regression ◽  
Occupancy Rate ◽  
Bed Occupancy ◽  
Internal Factors ◽  
Occupancy Rates ◽  
Occupancy Behavior ◽  
Bed Occupancy Rates

The purpose of the study was to describe service procedures, doctor services, nurse services, facilities and infrastructure, and Bed Occupancy Rate (BOR) and to determine the effect of service procedures, doctor services, nurse services, facilities and infrastructure on bed occupancy rates (BOR). This research was conducted at Caruban Hospital with a sample of 214 people drawn randomly from 480 populations, data were collected by questionnaire and analyzed by descriptive and ordinal regression. The results of the data analysis show that service presiders, doctor services, nurse services, facilities and infrastructure, and bed occupancy behavior (BOR) are in the “good” category and there is an influence of service procedure, doctor services, nurse services, and facilities and infrastructure on behavior bed occupancy (BOR).

Nowcasting for improved management of COVID-19 acute bed capacity

2021 ◽  
pp. 1-3
Author(s):  
Richard M Wood
Keyword(s):  
Strategic Planning ◽  
Healthcare Services ◽  
Bed Occupancy ◽  
Bed Capacity ◽  
Occupancy Rates ◽  
Second Wave ◽  
Bed Occupancy Rates

As the second wave of COVID-19 continues to push healthcare services to their limits, rapid and strategic planning has never been more important. Richard M Wood explains how statistical ‘nowcasting’ can be used to predict bed occupancy rates and help leaders to better manage acute capacity during this ongoing crisis.

scholarly journals Exploring Indonesia’s “low hospital bed utilization-low bed occupancy-high disease burden” paradox

2012 ◽  
Vol 2 (1) ◽  
pp. 49 ◽  
Author(s):  
Niyi Awofeso ◽  
Anu Rammohan ◽  
Ainy Asmaripa
Keyword(s):  
East Asian ◽  
Bed Occupancy ◽  
The South ◽  
South East Asian Region ◽  
East Asian Region ◽  
Asian Region ◽  
Out Of Pocket Payments ◽  
Hospital Bed ◽  
Occupancy Rates ◽  
Bed Occupancy Rates

Indonesia’s current hospital bed to population ratio of 6.3/10 000 population compares unfavourably with a global average of 30/10 000. Despite low hospital bed-to-population ratios and a significant “double burden” of disease, bed occupancy rates range between 55% - 60% in both government and private hospitals in Indonesia, compared with over 80% hospital bed occupancy rates for the South-East Asian region. Annual inpatient admission in Indonesia is, at 140/1 0 000 population, the lowest in the South East Asian region. Despite currently low utilisation rates, Indonesia’s Human Resources for Health Development Plan 2011-2025 has among its objectives the raising of hospital bed numbers to 10/10 000 population by 2014. The authors examined the reasons for the paradox and analysed the following contributory factors; health system’s shortcomings; epidemiological transition; medical tourism; high out-of-pocket payments; patronage of traditional medical practitioners, and increasing use of outpatient care. Suggestions for addressing the paradox are proposed.

Milburn promises to cut NHS bed occupancy rates

2001 ◽  
Vol 16 (7) ◽  
pp. 5-5
Author(s):  
Christian Duffin ◽  
Bill Doult
Keyword(s):  
Bed Occupancy ◽  
Occupancy Rates ◽  
Bed Occupancy Rates

Bed Occupancy Rates and Hospital-Acquired Clostridium difficile Infection: A Cohort Study

2013 ◽  
Vol 34 (10) ◽  
pp. 1062-1069 ◽  
Author(s):  
Lauren C. Ahyow ◽  
Paul C. Lambert ◽  
David R. Jenkins ◽  
Keith R. Neal ◽  
Martin Tobin
Keyword(s):  
Cohort Study ◽  
Clostridium Difficile ◽  
Significant Risk ◽  
Organizational Factors ◽  
Economic Benefits ◽  
Bed Occupancy ◽  
Increased Risk ◽  
Hospital Acquired ◽  
Occupancy Rates ◽  
Bed Occupancy Rates

Background.An emergent strain (ribotype 027) of Clostridium difficile infection (CDI) has been implicated in epidemics worldwide. Organizational factors such as bed occupancy have been associated with an increased incidence of CDI; however, the data are sparse, and the association has not been widely demonstrated. We investigated the association of bed occupancy and CDI within a large hospital organization in the United Kingdom.Objective.To establish whether bed occupancy rates are a significant risk factor for CDI in the general ward setting.Methods.A retrospective cohort study was carried out on data from 2006 to 2008. Univariate and multivariate Cox regression modeling was used to examine the strength and significance of the associations. Variables included patient characteristics, antibiotic policy exposure, case mix, and bed occupancy rates.Results.A total of 1,589 cases of hospital-acquired CDI were diagnosed (1.7% of admissions), with an overall infection rate of 2.16 per 1,000 patient-days. Median bed occupancy was 93.3% (interquartile range, 83.3%–100%) Univariate and multivariate analyses showed positive and statistically significant associations. In the adjusted model, patients on wards with occupancy rates of 80%–89.9% had rates of CDI that were 56% higher (hazard ratio, 1.56 [95% confidence interval, 1.18–2.04]; P<.001) compared with baseline (0%–69.9% occupancy). CDI rates were 55% higher for patients on wards with maximal bed occupancy (100%).Conclusions.There is strong evidence of an association between high bed occupancy and CDI. Without effective interventions at high levels of bed occupancy, the economic benefits sought from reducing bed numbers may be negated by the increased risk of CDI.

scholarly journals The implications of high bed occupancy rates on readmission rates in England: A longitudinal study

Health Policy ◽  
2019 ◽  
Vol 123 (8) ◽  
pp. 765-772 ◽  
Author(s):  
Rocco Friebel ◽  
Rebecca Fisher ◽  
Sarah R. Deeny ◽  
Tim Gardner ◽  
Aoife Molloy ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Bed Occupancy ◽  
Readmission Rates ◽  
Occupancy Rates ◽  
Bed Occupancy Rates

Correlations between bed occupancy rates and Clostridium difficile infections: a time-series analysis

2010 ◽  
Vol 139 (3) ◽  
pp. 482-485 ◽  
Author(s):  
K. KAIER ◽  
D. LUFT ◽  
M. DETTENKOFER ◽  
M. KIST ◽  
U. FRANK
Keyword(s):  
Time Series ◽  
Clostridium Difficile ◽  
Time Series Analysis ◽  
Length Of Hospital Stay ◽  
Bed Occupancy ◽  
Series Analysis ◽  
General Wards ◽  
Occupancy Rates ◽  
The Impact ◽  
Bed Occupancy Rates

SUMMARYA time-series analysis was performed to identify the impact of bed occupancy rates and length of hospital stay on the incidence of Clostridium difficile infections (CDI). Between January 2003 and July 2008, a mean incidence of 0·5 CDI cases/1000 patient days was recorded. Application of a multivariate model (R2=0·50) showed that bed occupancy rates on general wards (P<0·01) and length of stay in intensive care units (ICUs) (P<0·01) influenced the incidence of CDI. Overcrowding on general wards and long periods in ICUs were identified as being positively associated with the incidence of CDI.

scholarly journals Length of Hospital Stay and Bed Occupancy Rates in Former Yugoslav Republics 1989–2015

2016 ◽  
Vol 7 ◽  
Author(s):  
Aleksandar Cvetkovic ◽  
Danijela Cvetkovic ◽  
Vladislava Stojic ◽  
Nebojsa Zdravkovic
Keyword(s):  
Hospital Stay ◽  
Length Of Hospital Stay ◽  
Bed Occupancy ◽  
Occupancy Rates ◽  
Bed Occupancy Rates
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