Reducing waiting times of elective surgical procedures: effectiveness evaluation of a multi-interventions approach
Keywords:
Surgical waiting times, operating room, multidimensional approach, surgical schedulingAbstract
Background. Increasing waiting times for elective surgery is a major concern for policymakers and healthcare staff in many countries, due to its effect on health, patient satisfaction and the perceived quality of healthcare. Many organizational models to reduce surgical waiting times have been studied, but the international literature indicates that multidimensional interventions on different aspects of the surgical pathway can be more effective in reducing waiting times than interventions focused on optimizing a single aspect.
Aim. The aim of the study is to evaluate the effectiveness of a multidimensional intervention in reducing waiting times for elective surgery.
Study design. We used a pre-post approach to evaluate the effect of a multidimensional project to reduce waiting times and lists.
Methods. In a district general hospital (Italy) with three elective surgery operating rooms open 6 hours/ day, 5 days/week (surgery specialties: general surgery, orthopaedics, gynaecology and urology), a project for reducing surgery waiting times was implemented in October 2018. The project focused on three aspects:
- i) separation of the flow of day surgery from that of ordinary surgery; ii) increasing available operating time by reorganizing the staff; iii) allocation of operating sessions flexibly in proportion to the waiting list. Waiting times for surgery in the periods 1/10/2019-31/12/2019 and 1/10/2018-31/12/2018 were compared by t test.
Results. Waiting times for non-high-priority cases shortened significantly for all specialities (p<0.01), except for urology. For general surgery, orthopaedics and gynaecology, mean waiting times for day surgery decreased from 198 to 100 days (-50%) and for ordinary operations from 213 to 134 days (-37%). Waiting times for high-priority cases also shortened.
Conclusions. Our multidimensional project based on reorganization of staff and facilities and on improved scheduling proved effective in reducing waiting times for elective surgery.
References
1. Ballini L, Negro A, Maltoni S, et al. Interventions to reduce waiting times for elective procedures. Cochrane Database Syst Rev. 2015 Feb 23; (2):
CD005610. doi: 10.1002/14651858.CD005610.
pub2.
2. Siciliani L, Hurst J. Explaining waiting time variations for elective surgery across OECD countries. Paris: OECD Publishing; 2003 (OECD Health Working Papers; No. 7).
3. Siciliani L, Hurst J. Tackling excessive waiting times for elective surgery: a comparative analysis of policies in 12 OECD countries. Health Policy. 2005 May; 72(2): 201-15. doi: 10.1016/j. healthpol.2004.07.003.
4. Kreindler SA. Policy strategies to reduce waits for elective care: a synthesis of international evidence. Br Med Bull. 2010; 95: 7-32. doi: 10.1093/bmb/ldq014. Epub 2010 May 10.
5. Riganti A, Siciliani L, Fiorio CV. The effect of waiting times on demand and supply of elective surgery: Evidence from Italy. Health Econ. 2017 Sep; 26(Suppl 2): 92-105. doi: 10.1002/ hec.3545.
6. Lungu DA, Grillo Ruggieri T, Nuti S. Decision making tools for managing waiting times and treatment rates in elective surgery. BMC Health Serv Res. 2019 Jun 11; 19(1): 369. doi: 10.1186/ s12913-019-4199-6.
7. Uimonen M, Kuitunen I, Paloneva J, et al. The impact of the COVID-19 pandemic on waiting times for elective surgery patients: A multicenter study. PLoS One. 2021 Jul 6; 16(7): e0253875. doi: 10.1371/journal.pone.0253875.
8. Agenzia Regionale Sanità Toscana. Volumi e tempi di attesa per la chirurgia programmata in Toscana: effetti della pandemia di COVID-19. Maggio 2020. Available on: https://www.ars.toscana.it/images/approfondimenti/2020/Bachini/ Report_TA_maggio_2020_definitivo.pdf [Last accessed: 2021 October 16].
9. Istituto Superiore di Sanità. Impatto dell’emergenza COVID-19 sui volume di attività della chirurgia protesica ortopedica in sette Regioni italiane. Rapporto ISS COVID-19 n° 7/2021 Rev. Available on: https://www.iss.it/ documents/20126/0/Rapporto+ISS+COVID19+7_2021+Rev.pdf/d1f25e22-c9f7-7e5ba088-42796f4de76a?t=1618819016173 [Last accessed: 2021 October 16].
10. Kreindler SA. Watching your wait: evidenceinformed strategies for reducing health care wait times. Qual Manag Health Care. 2008 Apr-Jun; 17(2): 128-35. doi: 10.1097/01. QMH.0000316990.48673.9f.
11. Siciliani L, Borowitz M, Moran V, Eds. Waiting time policies in the health sector:
What works? OECD Health Policy Studies.
Paris: OECD Publishing; 2013. http://dx.doi. org/10.1787/9789264179080-en.
12. Siciliani L, Moran V, Borowitz M. Measuring and comparing healthcare waiting times in OECD countries. Health Policy. 2014 Dec; 118(3): 292-303. doi: 10.1016/j.healthpol.2014.08.011. Epub 2014 Sep 1.
13. Bachelet VC, Goyenechea M, Carrasco VA. Policy strategies to reduce waiting times for elective surgery: A scoping review and evidence synthesis. Int J Health Plann Manage. 2019 Apr; 34(2): 1-21. Epub 2019 Feb 22.
14. Conferenza Permanente per i rapporti tra lo Stato, le Regioni e le Province Autonome di Trento e Bolzano. Accordo 28 ottobre 2010.Intesa, tra il Governo, le Regioni e le Province autonome di Trento e di Bolzano sul Piano nazionale di governo delle liste di attesa per il triennio 20102012, di cui all’articolo 1, comma 280, della legge 23 dicembre 2005, no 266. (Repertorio atti n. 189/CSR del 28 ottobre 2010). GURI [Official Gazette of Italian Republic], no 274, del 23/11/2010 (Suppl. Ord. no 259).
15. Ministero della Salute. Piano nazionale di governo delle liste di attesa per il triennio 2019-2021. Available on: https://www.salute.gov.it/portale/ listeAttesa/dettaglioPubblicazioniListeAttesa. jsp?lingua=italiano&id=2824 [Last accessed: 2021 May 25].
16. Regione Toscana. Decreto Dirigenziale n° 5580 del 19/12/2013. Approvazione codifica delle classi di priorità per i ricoveri ospedalieri. Available on: http://www301.regione.toscana.it/ bancadati/atti/ [Last accessed: 2021 May 25].
17. Regione Toscana. Delibera Giunta Regionale n°604 del 06/05/2019. Piano RegionaleGovernoListe di Attesa 2019–2021. Available on: https://www.regione.toscana.it/bancadati/atti/ [Last accessed: 2021 May 25].
18. School of Advanced Studies, Institute of Management, Pisa. Performance Evaluation System 2016. Available on: https://performance.santannapisa.it/pes/start/start.php [Last accessed: 2021 May 25].
19. Saia M, Mantoan D, Buja A, et al. Increased rate of day surgery use for inguinal and femoral hernia repair in a decade of hospital admissions in the Veneto Region (north east Italy): a record linkage study. BMC Health Serv Res. 2013 Sep 12; 13: 349. doi: 10.1186/1472-6963-13-349.
20. Bhamra JS, Dhinsa BS, Patel S, Davies C, Oliver
M. Does a dedicated orthopaedic day surgery list improve delivery of trauma services? J Perioper Pract. 2017 Nov; 27(11): 263-7.
21. NHS Improvement. Operating theatres: opportunities to reduce waiting lists. 2019. Available on: https://improvement.nhs.uk/documents/3711/ Theatre_productivity_report__Final.pdf [Last accessed: 2021 May 25].
22. Cardoen B, Demeulemeester E, Beliën J. Operating room planning and scheduling: A literature review. Eur J Operational Res. 2010; 201(3): 921-32.doi: 10.1016/j.ejor.2009.04.011.
23. Valsangkar NP, Eppstein AC, Lawson RA, Taylor AN. Effect of lean processes on surgical wait times and efficiency in a tertiary care veterans affairs medical center. JAMA Surg. 2017 Jan 1; 152(1): 42-7. doi: 10.1001/ jamasurg.2016.2808.
24. Gür Ş, Eren T. Application of operational research techniques in operating room scheduling problems: Literature Overview. J Healthc Eng. 2018 Jun 13; 2018: 5341394. doi: 10.1155/2018/5341394.
25. Heslin MJ, Doster BE, Daily SL, et al.Durable improvements in efficiency, safety, and satisfaction in the operating room.J Am Coll Surg. 2008 May; 206(5): 1083-9; discussion 1089-90. doi: 10.1016/j.jamcollsurg.2008.02.006.
26. Marjamaa R, Vakkuri A, Kirvelä O. Operating room management: why, how and by whom?Acta Anaesthesiol Scand. 2008 May; 52(5): 596-600.
doi: 10.1111/j.1399-6576.2008.01618.x.
27. Cima RR, Brown MJ, Hebl JR, et al. Surgical Process Improvement Team, Mayo Clinic, Rochester.Use of lean and six sigma methodology to improve operating room efficiency in a high-volume tertiary-care academic medical center. J Am Coll Surg. 2011 Jul; 213(1): 83-92; discussion 93-4. doi: 10.1016/j.jamcollsurg.2011.02.009. Epub 2011 Mar 21.
28. Van Houdenhoven M, van Oostrum JM, Hans EW, Wullink G, Kazemier G. Improving operating room efficiency by applying bin-packing and portfolio techniques to surgical case scheduling. Anesth Analg. 2007 Sep; 105(3): 707-14. doi:
10.1213/01.ane.0000277492.90805.0f.
29. Wachtel RE, Dexter F. Tactical increases in operating room block time for capacity planning should not be based on utilization. Anesth Analg. 2008 Jan; 106(1): 215-26.
30. Fei H, Meskensa N, Chub C. A planning and scheduling problem for an operating theatre using an open scheduling strategy. Computers & Industrial Engineering. 2010 Mar; 58(2): 221-30. doi: 10.1016/j.cie.2009.02.012.
31. Pandit JJ, Tavare A. Using mean duration and variation of procedure times to plan a list of surgical operations to fit into the scheduled list time. Eur J Anaesthesiol. 2011 Jul; 28(7): 49350. doi: 10.1097/EJA.0b013e3283446b9c.
32. Levine WC, Dunn PF. Optimizing operating room scheduling. Anesthesiol Clin. 2015; 33(4): 697-711.
33. Xiangyong L, Rafaliya N, FazleBaki M, Chaouch BA. Scheduling elective surgeries: the trade off Among bed capacity, waiting patients and operating room utilization using goal programming. Health Care Manag Sci. 2017 Mar; 20(1): 33-54. doi: 10.1007/s10729-015-9334-2. Epub 2015 Jul 17.
34. Mei TC. A study on the effect on scheduling and management of surgeries with the introduction
of excellent medical information. Stud Health Technol Inform. 2016; 225: 824-5.
35. Istituto Superiore di Sanità. Gruppo di lavoro Malattie rare CPVID 19. Censimento dei bisogni (23 marzo-5 aprile 2020) delle persone con malattie rare in corso di pandemia da SARSCoV-2. Versione del 30 maggio 2020. Roma: Istituto Superiore di Sanità; 2020. (Rapporto ISS COVID-19, n° 39/2020).
36. Herrod PJJ, Adiamah A, Boyd-Carson H, et al. Winter cancellations of elective surgical procedures in the UK: a questionnaire survey of patients on the economic and psychological impact. BMJ Open. 2019; 9. doi: 10.1136/ bmjopen-2018-028753.
37. Al-Jabir A, Kerwan A, Nicola M, et al. Impact of the Coronavirus (COVID-19) pandemic on surgical practice - Part 1. Internat J Surg.
2020 Jul; 79: 168-79. https://doi.org/10.1016/j. ijsu.2020.05.022. Epub 2020 May 12.
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