The following abbreviations are used in the indicator titles:
Indicator code: E992913.T
Average number of days when hospital bed was occupied as % of available 365 days.
Calculation: utilized bed-days x 100/available bed-days during the calendar year.
For countries participating in the Joint Eurostat / OECD / WHO Europe data collection on health care activities (for year 2012 those were: Austria, Belgium, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Israel, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Norway, Poland, Portugal, Romania,, Slovak Republic, Slovenia, Spain, Sweden, Switzerland, The former Yugoslav Republic of Macedonia, Turkey and United Kingdom), following definition was used:
Hospital aggregates: Curative (acute) care
Curative care comprises health care contacts during which the principal intent is to relieve symptoms of illness or injury, to reduce the severity of an illness or injury, or to protect against exacerbation and/or complication of an illness or injury that could threaten life or normal function (HC.1 in the SHA classification).
Inclusion
- All components of curative care of illness (including both physical and mental/psychiatric illnesses) or treatment of injury
- Diagnostic, therapeutic and surgical procedures
- Obstetric services
Exclusion
- Other functions of care (such as rehabilitative care, long-term care and palliative care)\"
Data are collected for:
d) Curative (acute) care occupancy rates:
The occupancy rate is calculated as the number of beds effectively occupied (bed-days) for curative care (HC.1 in SHA classification) divided by the number of beds available for curative care multiplied by 365 days, with the ratio multiplied by 100.
Occupancy rate = Total number of bed-days during the year / (Number of beds available * 365 days) * 100_
Armenia http://moh.am/?section=static_pages/index&id=625&subID=824,29.
Data collected annually, reference period: 31 December.
Facilities Organization (DG1). 2007: provisional data.
Public Health Institute of Republic of Srpska- Department for Social medicine, with Health
Organization and Health Economics. Law on health evidence and statistical research in health. Annual
report of hospitals.
Department for Health of Brcko District
health establishments and their exploitation. Coverage: Data relate to all in-patient care in
University hospitals and Acute care hospitals.
Break in time series: Until 1999 data covers only establishments of the Health Sector. From 2000
data covers also health establishments of other central organs.
Source: Ministry of Health
and private). Bed-days in mental health hospitals, prevention and rehabilitation homes and long-term
nursing care facilities are excluded. The number of bed-days refers to the sum of all inpatients at
midnight. The day of admission counts as one bed-day so that day cases (patients admitted for a
medical procedure or surgery in the morning and released before the evening) are also included. One
day case constitutes one bed-day. As of reporting year 2002, the German name for \bed-day\" changed
from \"Pflegetag\" to \"Berechnungs und Belegungstag\". This leads to a consistent terminology with the
case related reimbursement. Acute care beds comprise beds in general hospitals in all sectors
(public
Children. From 1997, data refer to HSE network hospitals (publicly funded acute) only.
Health.
accredited by the National Health Service. Private hospitals not accredited by the National Health
Service are excluded. Clinical data gathered in the hospital discharges database are coded with the
following versions: until 2005 with ICD9-CM version 1997, from 2006 to 2008 with ICD9-CM version
2002, since 2009 with the ICD9-CM version 2007.
rehabilitation, tuberculosis, psychiatry, mental care for alcohol and drug abusers, short-term
social care, geriatrics, palliative care and care for chronic patients.
Compulsory Health Insurance Database (for day cases). Coverage: No clear separation for short and
long-stay hospitals or beds. In calculations: long-term care beds were tuberculosis, psychiatric,
narcology, nursing, rehabilitation beds. All other beds were acute care beds. Up to 2000: including
day cases. From 2001: excluding day cases.
Module (Admissions Discharges and Transfers).
hospitals. Cots for healthy infants and bed-days of newborns are excluded in the calculations after
2002. Statistics Netherlands: Statistics of intramural health care.
The data includes in-patient days excluding day care days.
(average standard of bed occupancy per year).
care, long-term care and rehabilitation.
acute care hospitals means general hospitals+ especial hospitals with short-stay. Source up to 1996:
National Statistics Institute and Ministry of Health and Consumer Affairs. Statistics on Health
Establishments Providing Inpatient Care. Source from 1996: Ministry of Health and Consumer Affairs
(www.msc.es/).
Coverage: Full coverage of hospitals.
Deviation from the definition: -
Estimation method: -
Break in time series: -
Health, university and private hospitals. Acute hospitals, mental health hospitals, physical
treatment and rehabilitation hospitals were not included.
Calculation method: Utilized bed-days * 100/ average annual number of beds (available beds in a
calendar year).
Source: Centre of Health Statistics, Ministry of Health.
Scotland - National Health Service.
Wales - Health Statistics Wales based on the QSI Quarters Extract.
N.Ireland - Department for Health, Social Services and Public Safety, KH03.
Coverage:
UK - Data refers to NHS hospitals only. In parts of the UK it is not possible to separate curative
(acute) beds from long-term or rehabilitative beds. As such UK acute care beds data includes
curative (acute)+ long-term+ rehabilitative. Only wards which are open overnight are included (i.e.
not day patient beds).
England 2010- The data for 2010 is lower because the definition changed to the classification for
bed availability and occupancy was changed from ward type to the consultant specialty of the
responsible consultant and are now only collected for consultant led beds. This followed
consultation with the NHS, as concerns had been expressed that the ward classifications, which were
set in the late 1980s, were no longer relevant. Using the consultant specialty allowed NHS
organisations to utilise their patient administration systems to calculate the data. Previously the
NHS would estimate the number of available bed days. This means that there is a step change in the
timeseries for KH03 data as the basis of the collection was changed.
Deviaition from the definition: Wales data covers financial not calendar years, i.e. 2008 is
represented by 2008/09 data.
Break in Time Series: Data from 2000 onwards is not comparable with data from prior to this. This
is due to work conducted to improve compliance with definitions and consistency of methodologies
across the four parts of the UK.
Scotland - Data were previously based on financial year - now based on calendar year for
consistency, previous figures included psychiatric beds, as per now exclude all psychiatric
specialties, G1 to G5.
What is the Bed Occupancy Rate (%), Acute Care Hospitals Only?
The Bed Occupancy Rate in acute care hospitals is a critical indicator used to assess the utilization of healthcare infrastructure. It represents the percentage of hospital beds that are occupied by patients at any given time, specifically within acute care settings. This metric is vital for hospital administrators and health policymakers to understand the capacity and usage levels of hospital facilities, ensuring that there are enough resources to meet patient needs effectively. By monitoring this rate, healthcare providers can optimize their operations and plan for future capacity requirements, ultimately aiming to enhance patient care and hospital efficiency.
How to Calculate the Bed Occupancy Rate (%), Acute Care Hospitals Only?
To calculate the Bed Occupancy Rate for acute care hospitals, one must divide the number of beds occupied by patients by the total number of available beds, and then multiply the result by 100 to get a percentage. This calculation provides a snapshot of how effectively a hospital is using its resources at any given time. It is crucial for managing patient flow and resources, ensuring that the hospital can provide adequate care without overburdening its facilities. Regular assessment of this rate helps in strategic planning and maintaining a balance between demand and supply in hospital care services.
Importance of the Bed Occupancy Rate (%), Acute Care Hospitals Only
The Bed Occupancy Rate is more than just a number; it is a significant health system performance indicator that affects numerous aspects of hospital management and patient care. High occupancy rates can indicate a high demand for hospital services, possibly leading to overstretched resources and compromised care quality. Conversely, a low occupancy rate might suggest underutilization of facilities, which can be costly for healthcare systems. Understanding these dynamics helps hospital administrators to make informed decisions about staffing, resource allocation, and infrastructure development, ensuring that patient care is both efficient and effective.
Strengths and Limitations of the Bed Occupancy Rate (%), Acute Care Hospitals Only
While the Bed Occupancy Rate is a valuable tool for hospital management, it comes with its own set of strengths and limitations that must be considered.
Strengths
This rate is crucial for operational planning in hospitals. It allows healthcare providers to gauge the adequacy of their current facilities and helps in forecasting future needs. High occupancy rates can trigger the expansion of facilities or the addition of more beds, whereas lower rates might indicate the need to downscale or optimize the use of resources. This metric is also instrumental in disaster preparedness, where a sudden influx of patients requires rapid adjustments in hospital capacity.
Limitations
However, the Bed Occupancy Rate should not be viewed in isolation. It does not account for the severity of patient conditions; a bed occupied by a patient requiring minimal care impacts the hospital differently than one requiring intensive care. Additionally, this rate does not reflect the quality of care provided, patient outcomes, or patient satisfaction. External factors such as seasonal illnesses can also temporarily skew the occupancy rates, giving a misleading picture of overall hospital utilization. Therefore, while useful, this rate must be interpreted within a broader context of other health system performance indicators.
In conclusion, the Bed Occupancy Rate is a fundamental metric for managing hospital resources in acute care settings. It provides essential insights into how effectively a hospital is operating but must be used judiciously and in conjunction with other data to guide hospital administration and policy-making effectively.