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Using discrete-event simulation in strategic capacity planning for an outpatient physical therapy service

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Abstract

This study uses a simulation model as a tool for strategic capacity planning for an outpatient physical therapy clinic in Taipei, Taiwan. The clinic provides a wide range of physical treatments, with 6 full-time therapists in each session. We constructed a discrete-event simulation model to study the dynamics of patient mixes with realistic treatment plans, and to estimate the practical capacity of the physical therapy room. The changes in time-related and space-related performance measurements were used to evaluate the impact of various strategies on the capacity of the clinic. The simulation results confirmed that the clinic is extremely patient-oriented, with a bottleneck occurring at the traction units for Intermittent Pelvic Traction (IPT), with usage at 58.9 %. Sensitivity analysis showed that attending to more patients would significantly increase the number of patients staying for overtime sessions. We found that pooling the therapists produced beneficial results. The average waiting time per patient could be reduced by 45 % when we pooled 2 therapists. We found that treating up to 12 new patients per session had no significantly negative impact on returning patients. Moreover, we found that the average waiting time for new patients decreased if they were given priority over returning patients when called by the therapists.

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References

  1. Baesler FF, Jahnsen HE, Da Costa M (2003) The use of simulation and design of experiments for estimating maximum capacity in an emergency room. In: Chick S, Sánchez D, Ferrin D, Morrice DJ (eds) Proceedings of the 2003 Winter Simulation Conference, 1903–1906

  2. Bailey N (1954) Queueing for medical care. J R Stat Soc Ser C Appl Stat 3(3):137–145

    Google Scholar 

  3. Baldwin LP, Eldabi T, Paul RJ (2004) Simulation in health care management: a soft approach (MAPIU). Simul Model Pract Theory 12:541–557

    Article  Google Scholar 

  4. Bard JF, Purnomo HW (2006) Incremental changes in the workforce to accommodate changes in demand. Health Care Manag Sci 9:71–85

    Article  Google Scholar 

  5. Benneyan JC (1997) An introduction to using computer simulation in health care: patient wait case study. J Soc Heal Syst 5(3):1–15

    Google Scholar 

  6. Blanco White MJ, Pike MC (1964) Appointment systems in outpatients’ clinics and the effect of patients’ unpunctuality. Med Care 2(3):133–145

    Article  Google Scholar 

  7. Brailsford SC. (2007) Tutorial: advances and challenges in health care simulation modeling. In: Henderson SG, Biller B, Hsieh MH, Shortle J, Tew JD, Barton RR (eds) Proceedings of the 2007 Winter Simulation Conference, 1436–1448

  8. Brailsford SC, Harper PR, Patel B, Pitt M (2009) An analysis of the academic literature on simulation and modelling in health care. J Simul 3(3):130–140

    Google Scholar 

  9. Cayirli T, Veral E (2003) Outpatient scheduling in health care: a review of literature. Prod Oper Manag 12(4):519–549

    Article  Google Scholar 

  10. Cheng T-M (2003) Taiwan’s new national health insurance program: genesis and experience so far. Heal Aff 22(3):61–76

    Article  Google Scholar 

  11. Eldabi T, Paul RJ, Taylor SJE (1999) Computer simulation in health care decision making. Comput Ind Eng 37:235–238

    Article  Google Scholar 

  12. Eldabi T, Paul RJ, Young T (2007) Simulation modelling in health care: reviewing legacies and investigating futures. J Oper Res Soc 58:262–270

    Google Scholar 

  13. Fetter RB, Thompson JD (1966) Patients’ waiting time and doctors’ idle time in the outpatient setting. Heal Serv Res 1:66–90

    Google Scholar 

  14. Fone D, Hollinghurst S, Temple M, Round A, Lester N, Weightman A, Roberts K, Coyle E, Bevan G, Palmer S (2003) Systematic review of the use and value of computer simulation modeling in population health and health care delivery. J Public Health Med 25(4):325–335

    Article  Google Scholar 

  15. Fries BE, Marathe VP (1981) Determination of optimal variable-sized multiple-block appointment systems. Oper Res 29(2):324–345

    Article  Google Scholar 

  16. Garuda SR, Javalgi RG, Talluri VS (1998) Tackling no-show behavior: a market-driven approach. Heal Mark Q 15(4):25–44

    Article  Google Scholar 

  17. Günal MM, Pidd M (2010) Discrete event simulation for performance modelling in health care: a review of the literature. J Simul 4:42–51

    Article  Google Scholar 

  18. Gupta D, Denton B (2008) Appointment scheduling in health care: challenges and opportunities. IIE Trans 4:800–819

    Article  Google Scholar 

  19. Gupta D, Natarajan MK, Gafni A, Wang L, Shilton D, Holder D, Yusuf S (2007) Capacity planning for cardiac catheterization: a case study. Health Policy 82:1–11

    Article  Google Scholar 

  20. Huarng F, Lee MH (1996) Using simulation in out-patient queues: a case study. Int J Health Care Qual Assur 9(6):21–25

    Article  Google Scholar 

  21. Johnston JM, Leung G, Saing H, Kwok K-O, Ho L-M, Wong IOL, Tin KYK (2006) Non-attendance and effective equity of access at for public specialist outpatient centers in Hong Kong. Soc Sci Med 62:2551–2564

    Article  Google Scholar 

  22. Jun JB, Jacobson SH, Swisher JR (1999) Application of discrete-event simulation in health care clinics: a survey. J Oper Res Soc 50(2):109–123

    Google Scholar 

  23. Law AM, Kelton WD (2000) Simulation modeling and analysis, 3rd edn. McGraw-Hill, Inc., New York

    Google Scholar 

  24. Murray M, Tantau C (1999) Redefining open access to primary care. Manag Care Q 7(3):45–55

    Google Scholar 

  25. Murray M, Tantau C (2000) Same-day appointments: exploding the access paradigm. Fam Pract Manag 7(8):45–50

    Google Scholar 

  26. Robinson S (2005) Discrete-event simulation: from the pioneers to the present, what next? J Oper Res Soc 56(6):619–629

    Article  Google Scholar 

  27. Schellenberger RE (1974) Criteria for assessing model validity for managerial purposes. Decis Sci 5(5):644–653

    Article  Google Scholar 

  28. VanBerkel PT, Blake JT (2007) A comprehensive simulation for waiting time reduction and capacity planning applied in general surgery. Health Care Manag Sci 10:373–385

    Article  Google Scholar 

  29. Villamizar JR, Coelli FC, Pereira WCA, Almeida RMVR (2011) Discrete-event computer simulation methods in the optimisation of a physiotherapy clinic. Physiotherapy 97:71–77

    Article  Google Scholar 

  30. Vissers J (1979) Selecting a suitable appointment system in an outpatient setting. Med Care 17(12):1207–1220

    Article  Google Scholar 

  31. Welch JD (1964) Appointment systems in hospital outpatient departments. Oper Res Q 15(3):224–232

    Article  Google Scholar 

  32. Wen CP, Tsai SP, Chung W-S (2008) 10-year experience with universal health insurance in Taiwan: measuring changes in health and health disparity. Ann Intern Med 148(4):258–267

    Article  Google Scholar 

  33. Zhu Z, Heng BH, Teow KL (2012) Analysis of factors causing long patient waiting time and clinic overtime in outpatient clinics. J Med Syst 36:707–713

    Article  Google Scholar 

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Acknowledgments

This research was supported by National Taipei University for the Technology-Taipei Medical University Joint Research Program (Grant: NTUT-TMU-100-14). The authors would like to thank the senior therapist Mr. Jiunn-Der Liao and the entire staff from the participating hospital for their assistance and support.

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Correspondence to Pei-Fang Jennifer Tsai.

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Rau, CL., Tsai, PF.J., Liang, SF.M. et al. Using discrete-event simulation in strategic capacity planning for an outpatient physical therapy service. Health Care Manag Sci 16, 352–365 (2013). https://doi.org/10.1007/s10729-013-9234-2

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  • DOI: https://doi.org/10.1007/s10729-013-9234-2

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