Active and passive work breaks during simulated laparoscopy among laparoscopic surgeons: study protocol for a controlled, randomised cross-over laboratory trial

Tessy Luger, Monika A Rieger, Rosina Bonsch, Bernhard Krämer, Robert Seibt, Benjamin Steinhilber, Tessy Luger, Monika A Rieger, Rosina Bonsch, Bernhard Krämer, Robert Seibt, Benjamin Steinhilber

Abstract

Introduction: Laparoscopy has partially replaced open surgery due to the lower infection rate for the patient and hence better and shorter recovery. However, the surgeon's physical load is higher due to longer duration static and awkward body postures, increasing the risk for developing work-related musculoskeletal disorders. Interventions of an organisational nature are work breaks, being either passive or active. The primary objectives of this study are to determine whether passive and active work breaks lead to less discomfort than no work breaks and whether active work breaks lead to less discomfort than passive work breaks.

Methods and analysis: A controlled, randomised cross-over trial will be performed in the laboratory, of which its protocol is described here according to the Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) 2013 Statement. Recruitment of 21 laparoscopic surgeons started in April 2019 and the study is ongoing. The participating surgeons will perform three 1.5 hour experimental conditions, one without work breaks, one with 2.5 min passive work breaks including rest, and one with 2.5 min active work breaks including mobility and stretching exercises. The work breaks will be taken after 30 and 60 min of work. During the experiments, outcomes will be recorded. The primary outcome is rating of perceived discomfort measured on an 11-point numeric rating scale. The secondary outcomes are performance, muscle activity of selected muscles, upper body angles, heart rate, workload and subjective evaluation of both interventions. The collected data will be tested using a one-way or two-factorial repeated-measures analysis of variance.

Ethics and dissemination: Ethical approval of the study protocol was received by the local medical ethical committee of the University of Tübingen in February 2019 (no 618/2018BO2). The results of this study will be presented at national and international conferences, submitted for publications in peer-reviewed journals and serve as the starting point for a feasibility study.

Trial registration number: NCT03715816.

Keywords: minimally invasive surgery; occupational & industrial medicine; physiology; protocols & guidelines; public health.

Conflict of interest statement

Competing interests: None declared.

© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Figures

Figure 1
Figure 1
Flow chart displaying the process of the cross-over study. Participants will be randomly allocated by the principal investigator (TL) to one of the six possible orders of the three conditions.
Figure 2
Figure 2
The six tasks performed within the Pelvic Trainer: hot-wire (A), peg-transfer (B), pick-and-place (C), pick-and-tighten (D), pick-and-thread (E), pull-and-stick (F).
Figure 3
Figure 3
The 90+5 min time course of tasks including work breaks; for the condition without breaks, the blue blocks disappear. Each block and letter relates to a task, including the hot-wire (A), peg-transfer (B), pick-and-place (C), pick-and-tighten (D), pick-and-thread (E) and pull-and-stick task (F). The arrows indicate the time points of recordings of rating of perceived discomfort (T1-8) and recordings of muscle activity, upper body posture and heart rate (B1-9) during the peg-transfer task (B).
Figure 4
Figure 4
Left: guiding questions to ask the subject’s perceived feeling of discomfort. Right: body map adapted from Corlett to define the body regions.

References

    1. Palmer R. Instrumentation et technique de la coelioscopie gynécologique [Instrumentation and technique of gynaecological laparoscopy]. Gynecol Obstet 1947;46:420–31.
    1. Yi X, Chen S, Wang W, et al. . A systematic review and meta-analysis of laparoscopic and open distal pancreatectomy of nonductal Adenocarcinomatous pancreatic tumor (NDACPT) in the pancreatic body and tail. Surg Laparosc Endosc Percutan Tech 2017;27:206–19. 10.1097/SLE.0000000000000416
    1. Tan S, Wu G, Zhuang Q, et al. . Laparoscopic versus open repair for perforated peptic ulcer: a meta analysis of randomized controlled trials. Int J Surg 2016;33 Pt A:124–32. 10.1016/j.ijsu.2016.07.077
    1. Li H, Zheng J, Cai J-Y, et al. . Laparoscopic VS open hepatectomy for hepatolithiasis: An updated systematic review and meta-analysis. World J Gastroenterol 2017;23:7791–806. 10.3748/wjg.v23.i43.7791
    1. Ridtitid W, Coté GA, Leung W, et al. . Prevalence and risk factors for musculoskeletal injuries related to endoscopy. Gastrointest Endosc 2015;81:294–302. 10.1016/j.gie.2014.06.036
    1. Berguer R, Rab GT, Abu-Ghaida H, et al. . A comparison of surgeons’ posture during laparoscopic and open surgical procedures. Surg Endosc 1997;11:139–42. 10.1007/s004649900316
    1. Nguyen NT, Ho HS, Smith WD, et al. . An ergonomic evaluation of surgeons' axial skeletal and upper extremity movements during laparoscopic and open surgery. Am J Surg 2001;182:720–4. 10.1016/s0002-9610(01)00801-7
    1. da Costa BR, Vieira ER. Risk factors for work-related musculoskeletal disorders: a systematic review of recent longitudinal studies. Am J Ind Med 2010;53:285–323. 10.1002/ajim.20750
    1. Kozak A, Schedlbauer G, Wirth T, et al. . Association between work-related biomechanical risk factors and the occurrence of carpal tunnel syndrome: an overview of systematic reviews and a meta-analysis of current research. BMC Musculoskelet Disord 2015;16:231. 10.1186/s12891-015-0685-0
    1. Dabholkar T, Yardi S, Dabholkar Y. Prevalence of work-related musculoskeletal symptoms in surgeons performing minimally invasive surgery: a review of literature. Int Surg J 2016:1028–34. 10.18203/2349-2902.isj20161437
    1. Tjiam IM, Goossens RH, Schout BM, et al. . Ergonomics in endourology and laparoscopy: an overview of musculoskeletal problems in urology. J Endourol 2014;28:605–11. 10.1089/end.2013.0654
    1. Stomberg MW, Tronstad S-E, Hedberg K, et al. . Work-Related musculoskeletal disorders when performing laparoscopic surgery. Surg Laparosc Endosc Percutan Tech 2010;20:49–53. 10.1097/SLE.0b013e3181cded54
    1. Op de Beeck R, Hermans V. Research on work-related low back disorders. Brussels, Belgium: European Agendcy for Safety and Health at Work, 2000.
    1. Matern U, Eichenlaub M, Waller P, et al. . Mis instruments. An experimental comparison of various ergonomic handles and their design. Surg Endosc 1999;13:756–62. 10.1007/s004649901093
    1. Matern U, Kuttler G, Giebmeyer C, et al. . Ergonomic aspects of five different types of laparoscopic instrument handles under dynamic conditions with respect to specific laparoscopic tasks: an electromyographic-based study. Surg Endosc 2004;18:1231–41. 10.1007/s00464-003-9162-1
    1. Steinhilber B, Reiff F, Seibt R, et al. . Ergonomic benefits from a laparoscopic instrument with rotatable handle piece depend on the area of the operating field and working height. Hum Factors 2017;59:1048–65. 10.1177/0018720817712597
    1. Steinhilber B, Seibt R, Reiff F, et al. . Effect of a laparoscopic instrument with rotatable handle piece on biomechanical stress during laparoscopic procedures. Surg Endosc 2016;30:78–88. 10.1007/s00464-015-4164-3
    1. Trejo AE, Doné KN, DiMartino AA, et al. . Articulating vs. conventional laparoscopic grasping tools—surgeons’ opinions. Int J Ind Ergon 2006;36:25–35. 10.1016/j.ergon.2005.06.008
    1. Steinhilber B, Hoffmann S, Karlovic K, et al. . Development of an arm support system to improve Ergonomics in laparoscopic surgery: study design and provisional results. Surg Endosc 2015;29:2851–8. 10.1007/s00464-014-3984-x
    1. Karlovic K, Pfeffer S, Maier T, et al. . Analysis of body‐, arm‐ and hand‐posture and the human‐machine‐interaction when using an arm‐support‐device for laproscopic surgery – results of an evaluation in laboratory setting. Glob Surg 2016;2:84–7. 10.15761/GOS.1000126
    1. Albayrak A, van Veelen MA, Prins JF, et al. . A newly designed ergonomic body support for surgeons. Surg Endosc 2007;21:1835–40. 10.1007/s00464-007-9249-1
    1. Nishimoto W, Kawahira H, Shimomura Y, et al. . A standing posture support device that reduces laparoscopic surgeons' occupational lower limb stress. Minim Invasive Ther Allied Technol 2019;28:151–6. 10.1080/13645706.2018.1491407
    1. Luger T, Maher CG, Rieger MA, et al. . Work-break schedules for preventing musculoskeletal symptoms and disorders in healthy workers. Cochrane Database Syst Rev 2019;7:CD012886. 10.1002/14651858.CD012886.pub2
    1. Schmidt J, Rothmund R, Michaelis M, et al. . Welche muskuloskelettalen Beschwerden und arbeitsorganisatorische Maßnahmen zu ihrer Reduktion berichtet das chirurgische Personal in der Gynäkologie? Studiendesign einer standardisierten Befragung mit Fokus auf laparoskopische Eingriffe [What musculoskeletal complaints and work organisation measures to reduce them are reported by surgical staff in gynaecology? Study design of a standardized survey with focus on laparoscopic interventions. 63 Dortmund, Germany: Frühjahrskongress 2017 der Gesellschaft für Arbeitswissenschaft eV, 2017.
    1. Steinhilber B, Karle E, Schmidt J, et al. . Prevalence of musculoskeletal complaints in minimal invasive surgery. 10th International Conference on the prevention of work-related musculoskeletal disorders. Italy, Bologna: PREMUS, 2019.
    1. Engelmann C, Schneider M, Kirschbaum C, et al. . Effects of intraoperative breaks on mental and somatic operator fatigue: a randomized clinical trial. Surg Endosc 2011;25:1245–50. 10.1007/s00464-010-1350-1
    1. Park AE, Zahiri HR, Hallbeck MS, et al. . Intraoperative "micro breaks" with targeted stretching enhance surgeon physical function and mental focus: A multicenter cohort study. Ann Surg 2017;265:340–6. 10.1097/SLA.0000000000001665
    1. Dorion D, Darveau S. Do micropauses prevent surgeon's fatigue and loss of accuracy associated with prolonged surgery? an experimental prospective study. Ann Surg 2013;257:256–9. 10.1097/SLA.0b013e31825efe87
    1. Hallbeck MS, Lowndes BR, Bingener J, et al. . The impact of intraoperative microbreaks with exercises on surgeons: a multi-center cohort study. Appl Ergon 2017;60:334–41. 10.1016/j.apergo.2016.12.006
    1. Coleman Wood KA, Lowndes BR, Buus RJ, et al. . Evidence-Based intraoperative microbreak activities for reducing musculoskeletal injuries in the operating room. Work 2018;60:649–59. 10.3233/WOR-182772
    1. Abdelall ES, Lowndes BR, Abdelrahman AM, et al. . Mini breaks, many benefits: development and pilot testing of an intraoperative microbreak stretch web-application for surgeons. Proc Hum Factors Ergon Soc Annu Meet 2018;62:1042–6. 10.1177/1541931218621240
    1. Chan A-W, Tetzlaff JM, Altman DG, et al. . Spirit 2013 statement: defining standard protocol items for clinical trials. Ann Intern Med 2013;158:200–7. 10.7326/0003-4819-158-3-201302050-00583
    1. Chan A-W, Tetzlaff JM, Gøtzsche PC, et al. . Spirit 2013 explanation and elaboration: guidance for protocols of clinical trials. BMJ 2013;346:e7586. 10.1136/bmj.e7586
    1. Wenger L, Richardson C, Tsuda S. Retention of fundamentals of laparoscopic surgery (FLS) proficiency with a biannual mandatory training session. Surg Endosc 2015;29:810–4. 10.1007/s00464-014-3759-4
    1. Henning RA, Jacques P, Kissel GV, et al. . Frequent short rest breaks from computer work: effects on productivity and well-being at two field sites. Ergonomics 1997;40:78–91. 10.1080/001401397188396
    1. Shushan A, Mohamed H, Magos AL. How long does laparoscopic surgery really take? lessons learned from 1000 operative laparoscopies. Hum Reprod 1999;14:39–43. 10.1093/humrep/14.1.39
    1. Schoenfeld BJ. Is there a minimum intensity threshold for resistance training-induced hypertrophic adaptations? Sports Med 2013;43:1279–88. 10.1007/s40279-013-0088-z
    1. Maxwell SE, Delaney HD. Designing experiments and analyzing data: a model comparison perspective. Second ed London: Lawrence Erlbaum Associates Publishers, Inc, 2004.
    1. Guo Y, Pandis N. Sample-size calculation for repeated-measures and longitudinal studies. Am J Orthod Dentofacial Orthop 2015;147:146–9. 10.1016/j.ajodo.2014.10.009
    1. Kadam P, Bhalerao S. Sample size calculation. Int J Ayurveda Res 2010;1:55–7. 10.4103/0974-7788.59946
    1. Derossis AM, Fried GM, Abrahamowicz M, et al. . Development of a model for training and evaluation of laparoscopic skills. Am J Surg 1998;175:482–7. 10.1016/s0002-9610(98)00080-4
    1. Peters JH, Fried GM, Swanstrom LL. Development and validation of a comprehensive program of education and assessment of the basic fundamentals of laparoscopic surgery. 135, 2004: 21–7.
    1. Caffier G, Steinberg U, Liebers F. Praxisorientiertes Methodeninventar Zur Belastungs- und Beanspruchungsbeurteilung Im Zusammenhang MIT arbeitsbedingten Muskel-Skelett-Erkrankunen. Dortmund / Berlin, Germany: Bundesanstalt für Arbeitsschutz und Arbeitsmedizin (BAUA), 1999.
    1. Kuorinka I, Jonsson B, Kilbom A, et al. . Standardised Nordic questionnaires for the analysis of musculoskeletal symptoms. Appl Ergon 1987;18:233–7. 10.1016/0003-6870(87)90010-X
    1. Tariah HA, Nafai S, Alajmi M, et al. . Work-Related musculoskeletal disorders in nurses working in the Kingdom of Saudi Arabia. Work 2020;65:421–8. 10.3233/WOR-203094
    1. Momeni Z, Choobineh A, Razeghi M, et al. . Work-Related musculoskeletal symptoms among agricultural workers: a cross-sectional study in Iran. J Agromedicine 2020;57:1–10. 10.1080/1059924X.2020.1713273
    1. Vaghela N, Parekh S, Ganjiwale D, et al. . Work-Related musculoskeletal disorder among surgeons in Gujarat. J Educ Health Promot 2019;8:248. 10.4103/jehp.jehp_89_19
    1. Grant KMK, Vo T, Tiong LU. The painful truth: work-related musculoskeletal disorders in Australian surgeons. Occup Med 2020;70:60–3. 10.1093/occmed/kqz155
    1. McCaffery M, Beebe A. Pain: clinical manual for nursing practice. 353 St Louis, Missouri, US: C.V. Mosby Company, 1989.
    1. Alghadir AH, Anwer S, Iqbal A, et al. . Test-Retest reliability, validity, and minimum detectable change of visual analog, numerical rating, and verbal rating scales for measurement of osteoarthritic knee pain. J Pain Res 2018;11:851–6. 10.2147/JPR.S158847
    1. Corlett EN. The evaluation of posture and its effects : Wilson JR, Corlett EN, Evaluation of human work: a practical Ergonomics methodology. London: Taylor & Francis, 1995.
    1. Luttmann A, Jäger M, Sökeland J, et al. . Electromyographical study on surgeons in urology. II. Determination of muscular fatigue. Ergonomics 1996;39:298–313. 10.1080/00140139608964460
    1. Hallman DM, Srinivasan D, Mathiassen SE. Short- and long-term reliability of heart rate variability indices during repetitive low-force work. Eur J Appl Physiol 2015;115:803–12. 10.1007/s00421-014-3066-8
    1. Malik M, Bigger JT, Camm AJ, et al. . Heart rate variability: standards of measurement, physiological interpretation, and clinical use. Eur Heart J 1996;17:354–81. 10.1093/oxfordjournals.eurheartj.a014868
    1. Shaffer F, Ginsberg JP. An overview of heart rate variability metrics and norms. Front Public Health 2017;5:258. 10.3389/fpubh.2017.00258
    1. Hart SG, Staveland LE. Development of NASA-TLX(Task load index): results of emprical and theoretical research. Adv Psychol 1988;52:139–83.
    1. Rubio S, Díaz E, Martín J, et al. . Evaluation of subjective mental workload: a comparison of SWAT, NASA-TLX, and workload profile methods. Appl Psychol 2004;53:61–86. 10.1111/j.1464-0597.2004.00161.x
    1. Sepehr MM. Assessment of subjective mental workload using NASA-Task load index, 1988: 69–75.
    1. Pfendler C. Vergleichende Bewertung des NASA-TLX Skala und der ZEIS-Skala bei der Erfassung von Lernprozessen [Comparative assessment of the NASA-TLX scale and the ZEIS scale in recording learning processes. 92 Wachtberg: Forschungsinstitut für Anthropotechnik.FAT Report Nr, 1991.
    1. Hoonakker P, Carayon P, Gurses A, et al. . Measuring workload of ICU nurses with a questionnaire survey: the NASA task load index (TLX). IIE Trans Healthc Syst Eng 2011;1:131–43. 10.1080/19488300.2011.609524
    1. Hendy KC, Hamilton KM, Landry LN. Measuring subjective workload: when is one scale better than many? Hum Factors 1993;35:579–601. 10.1177/001872089303500401
    1. Dawes J. Do data characteristics change according to the number of scale points used? an experiment using 5-point, 7-point and 10-point scales. Int J Mark Res 2008;50:61–104. 10.1177/147078530805000106
    1. Marton-Williams J. Questionnaire design : Worcester R, Downham J, Consumer market research Handbook. London: McGraw-Hill Book Company, 1986.
    1. Lissitz RW, Green SB. Effect of the number of scale points on reliability: a Monte Carlo approach. Journal of Applied Psychology 1975;60:10–13. 10.1037/h0076268
    1. McKelvie SJ. Graphic rating scales - How many categories? Br J Psychol 1978;69:185–202. 10.1111/j.2044-8295.1978.tb01647.x
    1. Klimek L, Bergmann K-C, Biedermann T, et al. . Visual analogue scales (vas): measuring instruments for the documentation of symptoms and therapy monitoring in cases of allergic rhinitis in everyday health care: position paper of the German Society of Allergology (AeDA) and the German Society of allergy and clinical immunology (DGAKI), ENT section, in collaboration with the Working group on clinical immunology, Allergology and environmental medicine of the German Society of otorhinolaryngology, head and neck surgery (DGHNOKHC). Allergo J Int 2017;26:16–24. 10.1007/s40629-016-0006-7
    1. Ma Y, Mazumdar M, Memtsoudis SG. Beyond repeated-measures analysis of variance: advanced statistical methods for the analysis of longitudinal data in anesthesia research. Reg Anesth Pain Med 2012;37:99–105. 10.1097/AAP.0b013e31823ebc74
    1. Kim H-Y. Statistical notes for clinical researchers: post-hoc multiple comparisons. Restor Dent Endod 2015;40:172–6. 10.5395/rde.2015.40.2.172
    1. Deeks JJ, Higgins JPT, Altman DG. Chapter 9.6.2: What are subgroup analyses? : Higgins JPT, Green S, Cochrane Handbook for systematic reviews of interventions. Version 5.1.0 (updated March 2011) The Cochrane Collaboration, 2011.
    1. Varadhan R, Segal JB, Boyd CM, et al. . A framework for the analysis of heterogeneity of treatment effect in patient-centered outcomes research. J Clin Epidemiol 2013;66:818–25. 10.1016/j.jclinepi.2013.02.009
    1. Burke JF, Sussman JB, Kent DM, et al. . Three simple rules to ensure reasonably credible subgroup analyses. BMJ 2015;351:h5651. 10.1136/bmj.h5651
    1. Das D, Kumar A, Sharma M. A systematic review of work-related musculoskeletal disorders among handicraft workers. Int J Occup Saf Ergon 2020;26:55–70. 10.1080/10803548.2018.1458487
    1. Coury HJCG, Porcatti IA, Alem MER, et al. . Influence of gender on work-related musculoskeletal disorders in repetitive tasks. Int J Ind Ergon 2002;29:33–9. 10.1016/S0169-8141(01)00047-6
    1. Sharma R, Singh R. Work-Related musculoskeletal disorders, job stressors and gender responses in foundry industry. Int J Occup Saf Ergon 2014;20:363–73. 10.1080/10803548.2014.11077053
    1. Oranye NO, Bennett J. Prevalence of work-related musculoskeletal and non-musculoskeletal injuries in health care workers: the implications for work disability management. Ergonomics 2018;61:355–66. 10.1080/00140139.2017.1361552
    1. Macpherson RA, Lane TJ, Collie A, et al. . Age, sex, and the changing disability burden of compensated work-related musculoskeletal disorders in Canada and Australia. BMC Public Health 2018;18:758. 10.1186/s12889-018-5590-7
    1. de Kok J, Vroonhof P, Snijders J, et al. . Work-Related musculoskeletal disorders: prevalence, costs and demographics in the EU: European risk Observatory report. Luxembourg: Publications Office of the European Union, 2019.
    1. Cheung K, Szeto G, Lai GKB, et al. . Prevalence of and factors associated with work-related musculoskeletal symptoms in nursing assistants working in nursing homes. Int J Environ Res Public Health 2018;15:e265. 10.3390/ijerph15020265
    1. Yoshimoto T, Oka H, Ishikawa S, et al. . Factors associated with disabling low back pain among nursing personnel at a medical centre in Japan: a comparative cross-sectional survey. BMJ Open 2019;9:e032297. 10.1136/bmjopen-2019-032297
    1. Zhang Z. Missing data imputation: focusing on single imputation. Ann Transl Med 2016;4:9. 10.3978/j.issn.2305-5839.2015.12.38
    1. Glas CAW. Missing data : Peterson P, Tierney R, Baker E, International encyclopedia of education. 3rd ed Elsevier Science Ltd, 2010: 283–8.
    1. Donders ART, van der Heijden GJMG, Stijnen T, et al. . Review: a gentle introduction to imputation of missing values. J Clin Epidemiol 2006;59:1087–91. 10.1016/j.jclinepi.2006.01.014
    1. World Medical Association World Medical association Declaration of Helsinki: ethical principles for medical research involving human subjects. JAMA 2013;310:2191–4. 10.1001/jama.2013.281053

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