13.02.2013 Views

BOOKS OF RtfiDIfGS - PAHO/WHO

BOOKS OF RtfiDIfGS - PAHO/WHO

BOOKS OF RtfiDIfGS - PAHO/WHO

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

- 229 -<br />

METHODS<br />

Parameters Affecting Hospital Occupancy<br />

and Implications for Facility Sizing<br />

By Walton M. Hancock, David B. Magerlein, Robert H. Siorer, and<br />

lames B. Martin<br />

Simulation is used to investigate the effects on hospital occupancy of the<br />

number of beds in the facility, the percentage of patients who are emergencies,<br />

the percentage of elective patienta who are acheduled, and the average<br />

lengths of stay of emergency and elective patients. A practical method is<br />

presented for estimating the optimum suze of a short-term hospital on the<br />

basis of expected demand, and use of the resulta in planning is discussed.<br />

To operate at minimum cost it is imperative that a hospital not<br />

contain more beds than necessary to meet demand. The nontrivial<br />

costs of building, stafflag, and maintaining unused beds are unnecessary<br />

and are ultimately bdrne by the health care consumer. The variable<br />

cost of staffing and maintaining a hospital bed was found to be<br />

$10,130 per year in one study [1] and $16,201 per year in another [2],<br />

and the fixed cost of building a bed has been quoted as $50,000 [3].<br />

Thus, considerable savings are possible by eliminating beds in an<br />

overbedded Hospital (saving variable costs) and by preventing the construction<br />

of unneeded beds (saving both fixed and variable costs).<br />

A simulation-based analysis of the effects of several parameters<br />

on hospital occupancy is presented. The parameters investigated are<br />

number of beds in the facility, percentage of patients who are emergencies,<br />

percentage of elective patients whose admission date is set in<br />

advance (scheduled patients), and mean lengths of stay of emergency<br />

and elective patients. A practical method is developed for predicting<br />

the correct size of hospital facilities, given the expected demand. Current<br />

planning methods such as the Hill-Burton formula, the Poisson<br />

assumption, and that of Shonick [4] are shown to be inappropriate<br />

ThiJ study was supported by PHS grant no. HS00228 from ¿he National Center<br />

for HIalth Services Rescarch (DHEW) and by the W.K. Kellogg Foundation<br />

through the Greater Detroit Arca Hospital Council, Inc.<br />

Addrdeu communications and requests for reprints to Walton M. Hancock,<br />

HEALTH ProCessor of Induswlrial and Operations Engineering and Hospital Administration,<br />

SERVICES Program and Bureau of Hospital Administration, University oJ Michigan School of<br />

RESEARCH Public Health, 1420 Washington Heights, Ann Arbor, MI 48109. David P. Mager.<br />

ARC. A'I cin is a graduate student and Robert H. Storr is an undergraduate student, both<br />

in industrial and operations engineering; and ]ames B. Martin is assistant professor<br />

of hospital adminisuration. All of the authors are at the University of Michigan.<br />

0017-9124/78/03027614/$02.00/0<br />

( 1978 Hospital Research and Educational Trust

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!