Abstract：
BACKGROUND:Determining the optimal number of hospital beds is a complex and challenging endeavor and requires models and techniques which are sensitive to the multi-level, uncertain, and dynamic variables involved. This study identifies and characterizes extant models and methods that can be used to determine the required number of beds at hospital and regional levels, comparing their advantages and challenges. METHODS:A systematic search was conducted using Web of Science, Scopus, Embase and PubMed databases, with the search terms hospital bed capacity, hospital bed need, hospital, bed size, model, and method. RESULTS:Twenty-three studies met the criteria to be included in the review. Of these studies, a total of 11 models and 5 methods were identified, mainly designed to determine hospital bed capacity at the regional level. Common determinants of the required number of hospital beds in these models included demographic changes, average length of stay, admission rates, and bed occupancy rates. CONCLUSIONS:There are no specific norms for the required number of beds at hospital and regional levels, but some of the identified models and methods may be used to estimate this number in different contexts. Moreover, it is important to consider alternative approaches to planning hospital capacity like care pathways to fix the limitations of "bed numbers".
journal_name
BMC Health Serv Resjournal_title
BMC health services researchauthors
Ravaghi H,Alidoost S,Mannion R,Bélorgeot VDdoi
10.1186/s12913-020-5023-zsubject
Has Abstractpub_date
2020-03-06 00:00:00pages
186issue
1issn
1472-6963pii
10.1186/s12913-020-5023-zjournal_volume
20pub_type
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