Improvement in staff behavior during surgical procedures to prevent post-operative complications (ARIBO2): study protocol for a cluster randomised trial

Gabriel Birgand, Thomas Haudebourg, Leslie Grammatico-Guillon, Léa Ferrand, Leila Moret, François Gouin, Nicolas Mauduit, Christophe Leux, Yannick Le Manach, Didier Lepelletier, Elsa Tavernier, Jean-Christophe Lucet, Bruno Giraudeau, Gabriel Birgand, Thomas Haudebourg, Leslie Grammatico-Guillon, Léa Ferrand, Leila Moret, François Gouin, Nicolas Mauduit, Christophe Leux, Yannick Le Manach, Didier Lepelletier, Elsa Tavernier, Jean-Christophe Lucet, Bruno Giraudeau

Abstract

Background: Inappropriate staff behaviour during surgical procedures may disrupt the surgical performance and compromise patient safety. We developed an innovative monitoring and feedback system combined with an adaptive approach to optimise staff behaviour intraoperatively and prevent post-operative complications (POC) in orthopaedic surgery.

Methods/design: This protocol describes a parallel-group, cluster randomised, controlled trial with orthopaedic centre as the unit of randomisation. The intervention period will last 6 months and will be based on the monitoring of two surrogates of staff behaviour: the frequency of doors opening and the level of noise. Both will be collected from incision to wound closure, using wireless sensors and sonometers, and recorded and analysed on a dedicated platform (Livepulse®). Staff from centres randomised to the intervention arm will be informed in real time on their own data through an interactive dashboard available in each operating room (OR), and a posteriori for hip and knee replacement POC. Aggregated data from all centres will also be displayed for benchmarking. A lean method will be applied in each centre by a local multidisciplinary team to analyse baseline situations, determine the target condition, analyse the root cause(s), and take countermeasures. The education and awareness of participants on the impact of their behaviour on patient safety will assist the quality improvement process. The control centres will be blinded to monitoring data and quality improvement approaches. The primary outcome will be any POC occurring during the 30 days post operation. We will evaluate this outcome using local and national routinely collected data from hospital discharge and disease databases. Thirty orthopaedic centres will be randomised for a total of 9945 hip and knee replacement surgical procedures.

Discussion: The field of human factors and behaviour in the OR seems to offer potential room for improvement. An intervention providing goal-setting, monitoring, feedback and action planning may reduce the traffic flow and interruptions/distractions of the surgical team during procedures, preventing subsequent POCs. The results of this trial will provide important data on the impact of OR staff behaviour on patient safety, and promote best practice during surgical procedures.

Trial registration: ClinicalTrials.gov, NCT03158181 .

Keywords: Behaviour; Complications; Doors opening; Noise; Surgery; Surgical site infection.

Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Timeline cluster: graphical tool to identify risk of bias in cluster randomised trials [47]
Fig. 2
Fig. 2
Trial schedule of enrolment, interventions, and assessments (as recommended by Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) Additional file 1)
Fig. 3
Fig. 3
Description of data collected, data sources and key variables for the merging according to levels. OR, operating room; eCRF, electronic case report form; ICD-10, International Statistical Classification of Diseases and Related Health Problems, 10th Revision; POC, post-operative complication

References

    1. Weiser TG, Regenbogen SE, Thompson KD, Haynes AB, Lipsitz SR, Berry WR, et al. An estimation of the global volume of surgery: a modelling strategy based on available data. Lancet. 2008;372:139–144.
    1. Agence technique de l’information sur l’hospitalisation. Chiffres clés de l’hospitalisation [Internet]. 2016. Available from: . Accessed 3 May 2019.
    1. Brennan TA, Leape LL, Laird NM, Hebert L, Localio AR, Lawthers AG, et al. Incidence of adverse events and negligence in hospitalized patients. Results of the Harvard Medical Practice Study I. N Engl J Med. 1991;324:370–376. doi: 10.1056/NEJM199102073240604.
    1. Leape LL, Brennan TA, Laird N, Lawthers AG, Localio AR, Barnes BA, et al. The nature of adverse events in hospitalized patients. Results of the Harvard Medical Practice Study II. N Engl J Med. 1991;324:377–384. doi: 10.1056/NEJM199102073240605.
    1. Anderson O, Davis R, Hanna GB, Vincent CA. Surgical adverse events: a systematic review. Am J Surg. 2013;206:253–262. doi: 10.1016/j.amjsurg.2012.11.009.
    1. Le Manach Y, Collins G, Bhandari M, Bessissow A, Boddaert J, Khiami F, et al. Outcomes after hip fracture surgery compared with elective total hip replacement. JAMA. 2015;314:1159–1166. doi: 10.1001/jama.2015.10842.
    1. Ministère des affaires sociales, de la santé et des droits des femmes. Programme national d’actions de prévention des infections associées aux soins - Propias [Internet]. 2015. Available from: . Accessed 3 May 2019.
    1. Agha RA, Fowler AJ, Sevdalis N. The role of non-technical skills in surgery. Ann Med Surg. 2015;4:422–427. doi: 10.1016/j.amsu.2015.10.006.
    1. Astagneau P, L’Hériteau F, Daniel F, Parneix P, Venier A-G, Malavaud S, et al. Reducing surgical site infection incidence through a network: results from the French ISO-RAISIN surveillance system. J Hosp Infect. 2009;72:127–134. doi: 10.1016/j.jhin.2009.03.005.
    1. Le Réseau d’alerte, d’investigation et de surveillance des infections nosocomiales (Raisin). Surveillance des infections du site opératoire dans les établissements de santé français. Résultats 2016. [Internet]. Santé publique France; 2016. Available from: . Accessed 3 May 2019.
    1. Birgand G, Azevedo C, Rukly S, Pissard-Gibollet R, Toupet G, Timsit JF, Lucet JC; ARIBO Study Group. Motion-capture system to assess intraoperative staff movements and door openings: Impact on surrogates of the infectious risk in surgery. Infect Control Hosp Epidemiol. 2019:1-8. 10.1017/ice.2019.35. [Epub ahead of print]. PMID: 30857569.
    1. Enquêtes Nationales sur les Evénements Indésirables graves associés aux Soins. Rapport final Comparaison des deux études ENEIS 2004 et 2009 [Internet]. 2011. Available from: . Accessed 3 May 2019.
    1. de Leval MR, Carthey J, Wright DJ, Farewell VT, Reason JT. Human factors and cardiac surgery: a multicenter study. J Thorac Cardiovasc Surg. 2000;119:661–672. doi: 10.1016/S0022-5223(00)70006-7.
    1. Woodhead K, Taylor EW, Bannister G, Chesworth T, Hoffman P, Humphreys H. Behaviours and rituals in the operating theatre. A report from the Hospital Infection Society Working Party on Infection Control in Operating Theatres. J Hosp Infect. 2002;51:241–255. doi: 10.1053/jhin.2002.1220.
    1. Parker L. Rituals versus risks in the contemporary operating theatre environment. Br J Theatr Nurs. 1999;8:341–5.
    1. Wicker P. Sacred cows and sound practice. Br J Theatr Nurs. 1997:31–4.
    1. Sacks GD, Shannon EM, Dawes AJ, Rollo JC, Nguyen DK, Russell MM, et al. Teamwork, communication and safety climate: a systematic review of interventions to improve surgical culture. BMJ Qual Saf. 2015;24:458–467. doi: 10.1136/bmjqs-2014-003764.
    1. Catchpole K, Mishra A, Handa A, McCulloch P. Teamwork and error in the operating room: analysis of skills and roles. Ann Surg. 2008;247:699–706. doi: 10.1097/SLA.0b013e3181642ec8.
    1. Okuyama A, Wagner C, Bijnen B. Speaking up for patient safety by hospital-based health care professionals: a literature review. BMC Health Serv Res. 2014;14:61. doi: 10.1186/1472-6963-14-61.
    1. National institute for health and clinical excellence. Surgical site infection: prevention and treatment of surgical site infection. 2008. . Accessed 3 May 2019.
    1. Association of professionals in infection control. Guide to the elimination of orthopedic surgical site infections [Internet]. APIC; 2010. Available from: . Accessed 3 May 2019.
    1. Société Francaise d’Hygiène Hospitalière. Qualité de l’air au bloc opératoire et autres secteurs interventionnels [Internet]. 2015. Available from: . Accessed 3 May 2019.
    1. Simons FE, Aij KH, Widdershoven GAM, Visse M. Patient safety in the operating theatre: how A3 thinking can help reduce door movement. Int J Qual Health Care. 2014;26:366–371. doi: 10.1093/intqhc/mzu033.
    1. Birgand G, Saliou P, Lucet J-C. Influence of staff behavior on infectious risk in operating rooms: what is the evidence? Infect Control Hosp Epidemiol. 2015;36:93–106. doi: 10.1017/ice.2014.9.
    1. Roth JA, Juchler F, Dangel M, Eckstein FS, Battegay M, Widmer AF. Frequent door openings during cardiac surgery are associated with increased risk for surgical site infection: a prospective observational study. Clin Infect Dis. 2018. 10.1093/cid/ciy879. [Epub ahead of print].
    1. Kang JG, Lee JJ, Kim DM, Kim JA, Kim CS, Hahm TS, et al. Blocking noise but not music lowers bispectral index scores during sedation in noisy operating rooms. J Clin Anesth. 2008;20:12–16. doi: 10.1016/j.jclinane.2007.06.005.
    1. Conrad C, Konuk Y, Werner P, Cao CG, Warshaw A, Rattner D, et al. The effect of defined auditory conditions versus mental loading on the laparoscopic motor skill performance of experts. Surg Endosc. 2010;24:1347–1352. doi: 10.1007/s00464-009-0772-0.
    1. Dholakia S, Jeans JP, Khalid U, Dholakia S, D’Souza C, Nemeth K. The association of noise and surgical-site infection in day-case hernia repairs. Surgery. 2015;157:1153–1156. doi: 10.1016/j.surg.2014.12.026.
    1. Tschan F, Seelandt JC, Keller S, Semmer NK, Kurmann A, Candinas D, et al. Impact of case-relevant and case-irrelevant communication within the surgical team on surgical-site infection. Br J Surg. 2015;102:1718–1725. doi: 10.1002/bjs.9927.
    1. Kurmann A, Peter M, Tschan F, Mühlemann K, Candinas D, Beldi G. Adverse effect of noise in the operating theatre on surgical-site infection. Br J Surg. 2011;98:1021–1025. doi: 10.1002/bjs.7496.
    1. Engelmann CR, Neis JP, Kirschbaum C, Grote G, Ure BM. A noise-reduction program in a pediatric operation theatre is associated with surgeon’s benefits and a reduced rate of complications: a prospective controlled clinical trial. Ann Surg. 2014;259:1025–1033. doi: 10.1097/SLA.0000000000000253.
    1. Chan A-W, Tetzlaff JM, Altman DG, Laupacis A, Gøtzsche PC, Krleža-Jerić K, et al. SPIRIT 2013 statement: defining standard protocol items for clinical trials. Ann Intern Med. 2013;158:200–207. doi: 10.7326/0003-4819-158-3-201302050-00583.
    1. Hoffmann TC, Glasziou PP, Boutron I, Milne R, Perera R, Moher D, et al. Better reporting of interventions: template for intervention description and replication (TIDieR) checklist and guide. BMJ. 2014;348:g1687. doi: 10.1136/bmj.g1687.
    1. Loison G, Troughton R, Raymond F, Lepelletier D, Lucet J-C, Avril C, et al. Compliance with clothing regulations and traffic flow in the operating room: a multi-centre study of staff discipline during surgical procedures. J Hosp Infect. 2017;96:281–285. doi: 10.1016/j.jhin.2017.03.026.
    1. Healey AN, Sevdalis N, Vincent CA. Measuring intra-operative interference from distraction and interruption observed in the operating theatre. Ergonomics. 2006;49:589–604. doi: 10.1080/00140130600568899.
    1. Agency for Healthcare, Research and Quality. Comprehensive unit-based toolkit. [Internet]. 2018 [cited 2018 Oct 16]. Available from:
    1. Freemantle N, Calvert M, Wood J, Eastaugh J, Griffin C. Composite outcomes in randomized trials: greater precision but with greater uncertainty? JAMA. 2003;289:2554–2559. doi: 10.1001/jama.289.19.2554.
    1. Le Manach Y, Collins G, Rodseth R, Le Bihan-Benjamin C, Biccard B, Riou B, et al. Preoperative Score to Predict Postoperative Mortality (POSPOM): derivation and validation. Anesthesiology. 2016;124:570–579. doi: 10.1097/ALN.0000000000000972.
    1. Grammatico-Guillon L, Baron S, Rosset P, Gaborit C, Bernard L, Rusch E, et al. Surgical site infection after primary hip and knee arthroplasty: a cohort study using a hospital database. Infect Control Hosp Epidemiol. 2015;36:1198–1207. doi: 10.1017/ice.2015.148.
    1. Donner A, Donald A. The statistical analysis of multiple binary measurements. J Clin Epidemiol. 1988;41:899–905. doi: 10.1016/0895-4356(88)90107-2.
    1. McRae AD, Taljaard M, Weijer C. Cluster-randomized trials: a closer look. Clin Trials. 2016;13:294–300. doi: 10.1177/1740774516629405.
    1. McRae AD, Weijer C, Binik A, Grimshaw JM, Boruch R, Brehaut JC, et al. When is informed consent required in cluster randomized trials in health research? Trials. 2011;12:202. doi: 10.1186/1745-6215-12-202.
    1. Carver CS, Scheier MF. Control theory: a useful conceptual framework for personality-social, clinical, and health psychology. Psychol Bull. 1982;92:111–135. doi: 10.1037/0033-2909.92.1.111.
    1. Wick EC, Hobson DB, Bennett JL, Demski R, Maragakis L, Gearhart SL, et al. Implementation of a surgical comprehensive unit-based safety program to reduce surgical site infections. J Am Coll Surg. 2012;215:193–200. doi: 10.1016/j.jamcollsurg.2012.03.017.
    1. Pronovost PJ, King J, Holzmueller CG, Sawyer M, Bivens S, Michael M, et al. A web-based tool for the Comprehensive Unit-based Safety Program (CUSP) Jt Comm J Qual Patient Saf. 2006;32:119–129. doi: 10.1016/S1553-7250(06)32017-X.
    1. Grammatico-Guillon L, Baron S, Gaborit C, Rusch E, Astagneau P. Quality assessment of hospital discharge database for routine surveillance of hip and knee arthroplasty-related infections. Infect Control Hosp Epidemiol. 2014;35:646–651. doi: 10.1086/676423.
    1. Caille A, Kerry S, Tavernier E, Leyrat C, Eldridge S, Giraudeau B. Timeline cluster: a graphical tool to identify risk of bias in cluster randomised trials. BMJ. 2016;354:i4291. doi: 10.1136/bmj.i4291.

Source: PubMed

3
Sottoscrivi