Requesens BEA, Vega MG, Montes AB, Aburto FMC, Cedillo SMV

Language: Spanish
References: 13
Page: 220-223
PDF size: 68.59 Kb.

ABSTRACT

Objective: To determine the length between surgeries and whether the surgical scheduling is being fulfilled at the Querétaro General Hospital General de Querétaro. Site: Querétaro General Hospital. Design: A descriptive, prospective, longitudinal, and observational study. Statistical analysis: Central-tendency measurements, percentages as a review measurement for qualitative variables. Material and methods: It was determined the length of change time, active time, and inactive time, as well as the cause of surgical delays. Results: The mean change time was of 50.2 minutes (S.D. of 35.7), the 65% with a length higher than 30 minutes. The 34% of the programmed surgeries were delayed, reporting as causes: lack of surgical time (44.6%), the patient did not attend (25.9%), lack of staff and/or equipment (13.2%), and lack of personnel (6.2%). It was found an inactive time of the 36%, greatly due to the delay in the beginning of the morning shift. Discussion: According to the obtained results, it is not possible to determine a direct relationship between the length of change time and the incidence of surgical delays presented at this hospital. It was identified the inactive time as a variable affecting the fulfillment of the surgical scheduling directly.

REFERENCES

1. Miranda-Díaz AG, Prado-Aguilar C, González-Ojeda A. Uso eficiente del quirófano. Rev Gastroenterol Mex 2000; 65: 69-73.

2. Dexter F. A strategy to decide whether to move the last case of the day in an operating room to another empty operating room to decrease overtime labor costs. Anesth Analg 2000; 91: 925-8.

3. Dexter F, Epstein RH, Marcon E, Ledolter J. Estimating the incidence of prolonged turnover times and delays by time of day. Anesthesiology 2005; 102: 1242-8.

4. Donham RT. Defining measurable OR-PR scheduling, efficiency, and utilization data elements: the Association of Anesthesia Clinical Directors procedural times glossary. Int Anesthesiol Clin 1998; 36: 15-29.

5. Dexter F, Macario A, O’Neill L. Scheduling surgical cases into overflow block time - computer simulation of the effects of scheduling strategies on operating room labor cost. Anesth Analg 2000; 90: 980-8.

6. Gómez-Arnau J, González A. Principios generales de organización y gestión clínica de un bloque quirúrgico. Rev Esp Anestesiol Reanim 2001; 48: 180-7.

7. Dexter F, Abouleish AE, Epstein RH, Whitten CW, Lubarsky DA. Use of operating room information system data to predict the impact of reducing turnover times on staffing costs. Anesth Analg 2003; 97: 1119-26.

8. Adams RRN, Warner P, Hubbard B, Goulding T. Decreasing turnaround time between general surgery cases. A six sigma initiative. Journal of Nursing Administration 2004; 34: 140-8.

9. Patterson P. Turnover time: Is all the study worth the effort? OR Manager 1999; 15: 1,7-9,12-14.

10. Tyler DC, Pasquariello CA, Chen CH. Determining optimum operating room utilization. Anesth Analg 2003; 96: 1114-21.

11. Dexter F, Epstein RH, Traub RD, Xiao Y. Making management decisions on the day of surgery based on operating room efficiency and patient waiting times. Anesthesiology 2004; 101: 1444-53.

12. Dexter F. Operating room utilization: information management systems. Curr Opin Anaesthesiol 2003; 16: 619-22.

13. Dexter F, Traub RD. How to schedule elective surgical cases into specific operating room to maximize the efficiency of use of operating room time. Anesth Analg 2002; 94: 933-42.