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Metadata |
Number of
hospital beds per 1000 inhabitants |
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Definition |
Degree of availability
of hospital beds for the population, over a specified
period of time (usually 1 year) |
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Date – the last update of the
methodology / metadata |
21.07.2021 |
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Unit of measure |
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Symbol |
Aps
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Calculation method |
The degree of
availability of hospital beds for the population is the ratio between the
number of hospital beds and the number of inhabitants (total population), in
a given period of time, and multiplied by 1000. For the period 2005-2010 the
rate per 1000 inhabitants was calculated using the permanent resident
population on July 1st of every reference year. For 2011 the rate per 1000
inhabitants was calculated using the resident population registered as result
of the 2011 Population and Dwellings Census. For the period 2012-2019 the
rate per 1000 inhabitants was calculated using the resident population on
July 1, and for 2020 the resident population on January 1, 2020, instead of
July 1, 2020. Due to this reason, the data for 2020 are provisional. |
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Formula |
Aps=(NP/L)*1000 where: Aps = number of hospital beds per 1000
inhabitants NP = number of hospital beds L = number of inhabitants (total population at July 1st in the reference year,
January 1st 2020) |
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Required data |
Number of hospital beds and
number of inhabitants (total population at 1st July in the
reference year, January 1st 2020). Data refers to hospital beds,
including beds from institutes, healthcare centres, medical centres and
clinics assimilated to hospitals that provide inpatient care services or
inpatient and day hospitalisation care services |
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Data source |
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Type of research |
Exhaustive
statistical research |
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Level of aggregation |
Total country, macroregions,
development regions, counties |
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Details on the
statistical research |
http://colectaredate.insse.ro/metadata/viewStatisticalResearch.htm?locale=ro&researchId=2250 |
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Information on data quality: |
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1. General assessment of accuracy and comparability |
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For the description of
quality categories please see: clase de calitate doc) A B C Indicator to be developed |
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2. Objective and relevance
of the indicator: |
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Objective: the indicator
is monitoring the degree of availability of hospital beds for
the population in a specific region with hospital beds, over a specified period of time (usually 1 year) Relevance: The data meets explicit or
implicit users’ needs, monitoring needs of the National Strategy for
Sustainable Development. These needs may change over time, due to changes in the economic environment. |
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3. Data availability: |
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Last
update: July 2021 Oldest
data: 2005 Latest
data: 2020 |
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4. Overall accuracy |
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High |
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The information provided
must be accurate and reliable as regards the phenomena they intend to
measure. „Accuracy” can be defined as the closeness between the statistical
results and the actual value (unknown) of the variable measured. It should be explained if: 2) there are common definitions of target variables; 3) the imputation methods
of missing and inaccurate
values meet the statistical standards. Exhaustive statistical
research, imputations are not required. |
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Restricted/limited
(sources, errors, methodology, etc.) |
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5. Comparabiliy
between counties/regions |
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High |
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Statistics must
be consistent, comparable with statistics
from other regions, counties,
etc. The use of concepts,
classifications and standard target populations promote coherence, as well as
the use of a common methodology for the surveys. Coherent statistics
facilitate, also, international comparisons. |
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Restricted/limited
(sources, errors, methodology, etc.) |
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6.
Comparability over time |
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High |
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Statistics must be
consistent over time; in the data set transmitted. In this context, coherence
of the statistical information refers to the extent of the possibility to
combine it with other statistical information within a broad analytical
framework and over time. |
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Restricted/limited
(sources, errors, methodology, etc.) |
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7. Development perspective to improve the quality of this indicator
(including, as far as possible,
an indication of the burden on Member States and respondents.) |
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Not applicable |
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8. Contribution to the coherence of the set / potential
to benefit of an integrated policy
analysis |
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The
statistical data on health care resources represent a main source of public
health information as they describe the capacities available for different
types of health care provision. The
evolution of the indicator “total number of hospital beds per 100,000
inhabitants” allows for a sustainable analysis of the health care system, highlights inequalities in health care
(including accessibility of care), health system performance, quality and efficiency
of care and planning of health care resources. In 2019[1], Romania was among the
EU countries with the highest number of beds per 100,000 inhabitants (706
beds), surpassed by Germany (791 beds), Bulgaria (774 beds) and Austria (719
beds). |
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