Literature DB >> 6735735

The cyclical behavior of hospital utilization and staffing.

G Jensen, R Kronick.   

Abstract

Aggregate monthly data on hospital utilization and staffing are examined to assess the hospital industry's ability to adjust staffing levels to regular monthly cycles in demand. Graphical analysis and linear regression are used to assess the relationship between monthly trends in utilization and full-time-equivalent hospital personnel. We show that although regular seasonal patterns exist in both utilization and staffing levels, these series are largely independent of each other. The staffing level response to cycles in admissions and patient-days is, in fact, small relative to those observed for other industries that face predictable and regular fluctuations in product demand. Staffing levels appear to be more closely related to bed levels than to actual utilization levels. For a typical hospital which does not face effective incentives to control costs, smoother patterns of seasonal utilization probably will not result in lower staffing levels and reduced costs unless accompanied by a slowdown in the rate of increase in hospital bed size.

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Year:  1984        PMID: 6735735      PMCID: PMC1068799     

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  3 in total

1.  Feasibility of a 5-day medical-surgical unit.

Authors:  F B Brower
Journal:  Hosp Admin Curr       Date:  1977 Jan-Feb

2.  Simulation-based occupancy recommendations for adult medical/surgical units using admissions scheduling systems.

Authors:  W M Hancock; J B Martin; R H Storer
Journal:  Inquiry       Date:  1978-03       Impact factor: 1.730

3.  Hospital bed availability and discharge patterns in the short run.

Authors:  R D Luke; M B Culverwell
Journal:  Inquiry       Date:  1980       Impact factor: 1.730

  3 in total
  1 in total

1.  Identifying seasonal and temporal trends in the pressures experienced by hospitals related to unscheduled care.

Authors:  N J Walker; H C Van Woerden; V Kiparoglou; Y Yang
Journal:  BMC Health Serv Res       Date:  2016-07-26       Impact factor: 2.655

  1 in total

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