Hospital Bed Availability Indicator

The bed availability indicator or bed coefficient is one of the important indicators in medicine, which allows you to estimate the number of hospital beds needed to treat patients in a certain region or country. This indicator is calculated as the ratio of the total number of beds to the population of a given region or country.

The bed availability indicator is one of the key performance indicators of medical institutions. It allows you to assess how effectively available resources are used and how successfully patients are treated. If the bed availability rate is low, this may indicate a lack of hospital beds and the need to expand them.

In addition, the bed availability indicator is also used to compare different regions or countries on this indicator. For example, if one country has more beds per 1,000 inhabitants than another, then we can conclude that that country is using health care resources more efficiently.

In general, bed availability plays an important role in assessing the health status of the population and the performance of health care facilities, so it must be taken into account when developing health programs and making health care decisions.



The indicator of the provision of inpatient beds (bed-day) is one of the main indicators of the normal operation of a medical institution, allowing for a qualitative assessment of the intensity and effectiveness of medical care, as well as the health of the population.

In order to calculate this indicator, it is necessary to calculate the ratio of beds to the number of patients in the hospital. The rate is expressed in bed days per patient. This parameter reflects the average number of hospitalizations per bed per year.

Most often, the bed supply indicator is indicated as an absolute value of a unit (beds/year) or as the ratio of the number of bed days to the number of services provided by a bed for the corresponding period of time. The reverse value is also used - bed occupancy per year. The higher this indicator, the more efficiently the hospital operates; hospitals cope with