Literature DB >> 11375832

A statistical analysis of weekday operating room anesthesia group staffing costs at nine independently managed surgical suites.

F Dexter1, R H Epstein, H M Marsh.   

Abstract

UNLABELLED: At many surgical suites, surgeons and patients schedule elective cases on whatever future workday they choose, resulting in there being no limit on the number of cases performed each day. Staff are then scheduled in the manner that satisfies the marketing guarantee to the surgeons, satisfies labor contracts, and minimizes staffing costs. We assessed weekday nurse anesthesia group staffing at nine such suites to determine whether statistical methods can identify staffing solutions whereby all the cases are covered but for which staffing costs are less than those obtained using the staffing plans implemented by anesthesia groups' managers. Two years of operating room information system case duration and staffing data were analyzed. First- and second-shift staffing was assessed using previously published algorithms. The statistical methods identified staffing solutions with significantly decreased labor costs than those currently being used at eight of the nine surgical suites. The statistical methods relied more on overtime than second-shift staffing. The incremental decrease in staffing costs achievable by using overlapping 8-, 10-, and 13-h shifts was negligible. Overall, we found that statistical methods can identify, for some surgical suites, staffing solutions whereby all the cases are covered but for which costs are significantly less and productivity significantly more than those obtained using the plans developed by the managers based on their experience and the data. IMPLICATIONS: Statistical methods can identify, for some surgical suites, anesthesia staffing solutions whereby all the cases are covered but for which labor costs are significantly less than those obtained using the staffing plans developed by the managers based on data and their experience.

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Mesh:

Year:  2001        PMID: 11375832     DOI: 10.1097/00000539-200106000-00028

Source DB:  PubMed          Journal:  Anesth Analg        ISSN: 0003-2999            Impact factor:   5.108


  11 in total

1.  Estimating procedure times for surgeries by determining location parameters for the lognormal model.

Authors:  William E Spangler; David P Strum; Luis G Vargas; Jerrold H May
Journal:  Health Care Manag Sci       Date:  2004-05

2.  The Impact of Overestimations of Surgical Control Times Across Multiple Specialties on Medical Systems.

Authors:  Albert Wu; Ethan Y Brovman; Edward E Whang; Jesse M Ehrenfeld; Richard D Urman
Journal:  J Med Syst       Date:  2016-02-10       Impact factor: 4.460

3.  [Allocating and scheduling operating room time].

Authors:  S Freytag; F Dexter; R H Epstein; C Kugler; R Schnettler
Journal:  Chirurg       Date:  2005-01       Impact factor: 0.955

4.  Market capture of inpatient perioperative services using DEA.

Authors:  Liam O'Neill; Franklin Dexter
Journal:  Health Care Manag Sci       Date:  2004-11

5.  Methods for understanding super-efficient data envelopment analysis results with an application to hospital inpatient surgery.

Authors:  Liam O'Neill; Franklin Dexter
Journal:  Health Care Manag Sci       Date:  2005-11

6.  [Utilization rates and turnover times as indicators of OR workflow efficiency].

Authors:  M Schuster; L L Wicha; M Fiege; A E Goetz
Journal:  Anaesthesist       Date:  2007-10       Impact factor: 1.041

7.  Operating room management and operating room productivity: the case of Germany.

Authors:  Maresi Berry; Thomas Berry-Stölzle; Alexander Schleppers
Journal:  Health Care Manag Sci       Date:  2008-09

8.  A System-Wide Approach to Physician Efficiency and Utilization Rates for Non-Operating Room Anesthesia Sites.

Authors:  Mitchell H Tsai; Tinh T Huynh; Max W Breidenstein; Stephen E O'Donnell; Jesse M Ehrenfeld; Richard D Urman
Journal:  J Med Syst       Date:  2017-06-08       Impact factor: 4.460

9.  Allocating operating room block time using historical caseload variability.

Authors:  Narges Hosseini; Kevin M Taaffe
Journal:  Health Care Manag Sci       Date:  2014-03-04

10.  Reasons for cancellation of elective cardiac surgery at Prince Sultan Cardiac Centre, Saudi Arabia.

Authors:  Nabeel Sultan; Abdul Rashid; Syed M Abbas
Journal:  J Saudi Heart Assoc       Date:  2011-10-24
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