Ethics Support for the Distribution of Hospital Beds: Co-Creating a Map of Values and Norms for the Allocation Meetings

2021 ◽  
Vol 66 (Special Issue) ◽  
pp. 65-66
Author(s):  
Janine de Snoo-Trimp ◽  
◽  
Laura Hartman ◽  
Bert Molewijk ◽  
◽  
...  

"Background: Allocating admitted patients to their wards is increasingly put under pressure due to high bed occupancy rates. Consequently, allocation becomes morally challenging as it is confronted with potentially conflicting values like protecting teams’ workload, solidarity between wards and quality of care. Furthermore, there is a continuous uncertainty regarding expected intake, discharge, available beds and personnel. An integrative ethics support project was started to help to better deal with these challenges. After identifying core moral challenges, the aim of the current project was to co-create a map of values and norms for the daily allocation meetings. Methods: This qualitative study included observations of allocation meetings and 13 interviews. Subsequently, in five working group sessions a map of relevant values and norms was co-created with a selection of involved professionals. Results: Findings revealed moral challenges in three so-called ‘moral circles’: 1) one’s own team; 2) the hospital and 3) the hospital’s region. A map was developed including important and agreed upon values with 14 norms for the daily allocation meetings. Additionally, formal policies were updated and a conversation method was introduced to guide discussions when there are moral challenges. Conclusion: The joint development of the map led to a shared and practical product for both discussions and decisions regarding bed allocation. Its development already contributed to increased awareness of and openness about moral challenges. Using the map in daily allocation meetings may further stimulate moral reflection on these challenges to support these healthcare professionals in making well-considered and value-based decisions. "

Author(s):  
Richard M Wood

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.


2012 ◽  
Vol 2 (1) ◽  
pp. 49 ◽  
Author(s):  
Niyi Awofeso ◽  
Anu Rammohan ◽  
Ainy Asmaripa

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.


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

2013 ◽  
Vol 34 (10) ◽  
pp. 1062-1069 ◽  
Author(s):  
Lauren C. Ahyow ◽  
Paul C. Lambert ◽  
David R. Jenkins ◽  
Keith R. Neal ◽  
Martin Tobin

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.


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

2010 ◽  
Vol 139 (3) ◽  
pp. 482-485 ◽  
Author(s):  
K. KAIER ◽  
D. LUFT ◽  
M. DETTENKOFER ◽  
M. KIST ◽  
U. FRANK

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.


2016 ◽  
Vol 7 ◽  
Author(s):  
Aleksandar Cvetkovic ◽  
Danijela Cvetkovic ◽  
Vladislava Stojic ◽  
Nebojsa Zdravkovic

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