Skip to main content
PLOS One logoLink to PLOS One
. 2018 Sep 21;13(9):e0204301. doi: 10.1371/journal.pone.0204301

The impact of Joint Commission International accreditation on time periods in the operating room: A retrospective observational study

Takenori Inomata 1,2,*, Ju Mizuno 3, Masao Iwagami 4, Shiori Kawasaki 1,5, Akie Shimada 1,5, Eiichi Inada 3, Tina Shiang 6, Atsushi Amano 1,5
Editor: JianJun Yang7
PMCID: PMC6150533  PMID: 30240416

Abstract

The Joint Commission International (JCI) is responsible for upholding standards in healthcare and organizations in compliance receive accreditation. JCI requires quality improvement on patient safety goals, but requirements may prolong the total procedure/surgery time and reduce efficiency. Here, we evaluate the impact of JCI requirements on time periods in the operating room. We included patients who received elective and emergency surgeries under general anesthesia at Juntendo University Hospital between December 2014 and June 2016. Patients were classified as before and after JCI accreditation on December 12, 2015. The primary outcome was total procedure/surgery time. Secondary outcomes include five time periods comprising the total procedure/surgery time: pre-anesthesia time, anesthesia induction time, procedure/surgery time, anesthesia awareness time and post-anesthesia time. We compared these time periods between patients before and after JCI accreditation and patients were matched for age, sex and the specific type of surgery. Although total procedure/surgery time did not change significantly, pre-anesthesia time significantly increased (8.2 ± 6.9 minutes vs. 8.5 ± 6.9 minutes, before vs. after JCI, respectively, p = 0.028) and anesthesia induction time significantly decreased (34.4 ± 16.1 minutes vs. 33.6 ± 15.4 minutes, before vs. after JCI, respectively, p = 0.037) after JCI accreditation. Other secondary study outcomes did not change significantly. Quality improvement initiatives associated with time periods in the operating room can be achieved without undermining efficiency.

Introduction

World population aging has resulted in a significant growth in demand for surgical services [1]. Japan faces the challenges of a rapidly aging society and changes in the universal medical insurance system, and healthcare providers must consequently adapt their management and marketing strategies.

Juntendo University Hospital (JUH), founded in 1838, is one of Japan’s oldest private medical schools in central Tokyo and receives 3,894 outpatients and 941 inpatients per day. There are more than 10,000 surgical cases at JUH per year, resulting in an overuse of surgical services and many add-on surgeries in an attempt to compensate the steady increase in surgical volume. The number of add-on surgeries are expected to decrease with the completion of the new operating rooms in March 2014, but it is necessary to further optimize operating room efficiency [2]. These improvements will involve a delicate balance between patient safety and hospital efficiency [3].

The Joint Commission International (JCI) is responsible for upholding patient safety and accrediting healthcare organizations in compliance with standards. JUH was accredited on December 12, 2015. JCI requires quality improvement for international patient safety goals (IPSG) defining important issues concerning patient safety. IPSG helps confirm correct patient identification, encourages effective communication between patients and medical staffs, improves the safety of high-alert medication administration, and ensures safe surgeries (correct surgical site, procedures, and patient for the surgery) [4]. JCI accreditation is expected to improve patient safety associated with surgical operations, but there is concern that these changes will prolong total procedure/surgery time (TPT) in the operating room and reduce efficiency. To date, there has been no study examining the impact of ISPG procedures on operating room efficiency.

Hospitals need to make effective use of human resources because of the sharp decrease in active medical personnel and overall decrease in the Japanese workforce [5]. Since fixed costs such as payments to nurses and anesthesiologists cannot be changed, it is imperative that we improve operating room efficiency. In this study, we aim to examine the impact of JCI accreditation on operating room efficiency by comparing relevant time periods in the operating room for patients who received surgeries before and after JCI accreditation at JUH.

Materials and methods

Study design

Retrospective observational study. A requirement for a written informed consent was waived due to the retrospective observational nature of the study, and it was carried out using the opt-out method on our hospital website. All data were fully anonymized before we accessed them. The study was approved by the Institutional Review Board and the Medical Ethics Committee of JUH (16–153). This project was conducted in adherence with the tenets of the Declaration of Helsinki.

Accreditation by Joint Commission International

JUH became JCI accredited on December 12, 2015. Every three years, inspectors visit hospitals to observe hospital operations, conducts interviews, and review medical documentation, and hospitals that meet compliance standards set forth by the JCI receive accreditation. The goal is to evaluate care, standardize hospital processes and provide education and promote quality improvement for the organizations under survey.

Participants

All patients having elective and emergency surgeries under general anesthesia in JUH between December 2014 and June 2016 were considered in this retrospective study. Medical records were reviewed and patient demographics (age and sex), date of surgery, surgical department, specific type of surgery and the time periods in the operating room were collected. Patients were divided into before and after JCI accreditation groups.

Outcome measures

In this study, we divided TPT into five more specific time periods (Fig 1) according to previous studies [2, 68]. Time periods were defined as pre-anesthesia time (preAT), anesthesia induction time (AIT), procedure/surgery time (PT), anesthesia awareness time (AAT) and post-anesthesia time (postAT). As shown in Fig 1, preAT is defined as the time elapsed in minutes between when the patient enters the operating room (patient in room, PIR) and anesthesia induction (the time at which the patient inhales oxygen from an anesthetic machine, AI), including the attachment of monitors such as an electrocardiogram and blood pressure gauge and sign in (S1 Table). AIT is defined as the time elapsed in minutes between the start of anesthesia induction and the start of surgery (procedure/surgery start time, PST) indicated by the time out. PT is defined as the time elapsed in minutes between the start and finish of surgery (the procedure/surgery start time to the procedure/surgery finish time, PST, PF, respectively). AAT is defined as the time elapsed in minutes between PF to the time the patient’s oxygen is discontinued from the anesthetic machine (anesthesia finish time, AF). postAT is defined as the time elapsed in minutes between the AF and the time the patient exits the room (patient out of room, POR). Then, the pre-procedure/surgery time (prePT) was calculated from the sum of preAT and AIT. The post-procedure/surgery time (postPT) was calculated from the sum of AAT and postAT. The TPT was calculated from the sum of preAT to postAT.

Fig 1. The glossary of time periods in the operating room.

Fig 1

The glossary of time periods was divided into five time intervals. (A). preAT = pre-anesthesia time, (B). AIT = anesthesia induction time, (C). PT = procedure/surgery time, (D). AAT = anesthesia awareness time, (E). postAT = post-anesthesia time, prePT = pre-procedure/surgery time (A+B), postPT = post-procedure/surgery time (C+D), TPT = total procedure/surgery time (prePT+C+postPT), PIR = patient in room, AI = anesthesia induction, PS = position/prep start, PST = procedure/surgery start time, PF = procedure/surgery finish time, AA = anesthesia awareness, AF = anesthesia finish time, POR = patient out of room.

Analysis

Patient characteristics were compared between those who had surgery before and after JCI accreditation using the chi-square test for age group, sex and specific type of surgery. To fairly compare patient outcomes before and after JCI accreditation, we matched patients for age (every 10-year category) and sex (Table 1), and specific type of surgery (Table 2). Matching on specific type of surgery was necessary in the current study because the distribution of surgeries was significantly different among patients and operation time largely depends on the type of surgery (S2 and S3 Tables). We selected matched patients randomly from both groups on a 1:1 basis. We compared the time periods in the operating room between the matched patients before and after JCI accreditation using the paired t-test.

Table 1. Characteristics of patients before and after matching for age, sex and specific type of surgery.

Before matching After matching
Before JCI After JCI p value Before JCI After JCI p value
N = 8,835 N = 4,453 N = 3,222 N = 3,222
  n (%) n (%) n (%) n (%)
Age (y.o.) 0.679 1.000
    0–9 1,612 (18.3) 785 (17.6) 573 (17.8) 573 (17.8)
    10–19 401 (4.5) 231 (5.2) 114 (3.5) 114 (3.5)
    20–29 429 (4.9) 230 (5.2) 129 (4.0) 129 (4.0)
    30–39 987 (11.2) 480 (10.8) 384 (11.9) 384 (11.9)
    40–49 1,144 (13.0) 569 (12.8) 444 (13.8) 444 (13.8)
    50–59 892 (10.1) 469 (10.5) 315 (9.8) 315 (9.8)
    60–69 1,440 (16.3) 724 (16.3) 542 (16.8) 542 (16.8)
    70–79 1,455(16.5) 706 (15.9) 555 (17.2) 555 (17.2)
    80–89 456 (5.2) 248 (5.6) 163 (5.1) 163 (5.1)
    90–99 19 (0.2) 11 (0.3)   3 (0.1) 3 (0.1)  
Sex
    Male 4,199 (47.5) 2151 (48.3) 0.397 1,505 (46.7) 1,505 (46.7) 1.000
    Female 4,636 (52.5) 2302 (51.7)   1,717 (53.3) 1,717 (53.3)  

JCI; Joint Commission International, p value is calculated by chi-square test.

Table 2. The distribution of the department after matching for age, sex and specific type of surgery.

Department Before JCI After JCI p value
Breast oncology 184 183 0.998
Cardiovascular surgery 233 233
Coloproctological surgery 119 117
Esophageal and Gastroenterological surgery 76 77
Gynecology 510 485
Hepatobiliary-Pancreatic surgery 116 118
Neurosurgery 199 198
Obstetrics 164 190
Ophthalmology 114 113
Orthopedics 240 247
Otolaryngology 224 224
Pediatric surgery 414 412
Plastic surgery 120 126
Thoracic surgery 206 205
Urology 277 275
Others 26 19  
Total 3,222 3,222

JCI; Joint Commission International, p value is calculated by chi-square test.

Next, we conducted subgroup analyses by focusing on three common and standardized surgeries: total hip arthroplasty, total knee arthroplasty, and laparoscopic cholecystectomy. We compared the time periods in the operating room using the unpaired t-test between patients before and after JCI accreditation in each surgical group. All data were analyzed with STATA version 14 (Stata Corp, Texas, US).

Results

Characteristics of patients

A total of 13,288 patients (median age 44.9, [interquartile range 25–68], male 47.5%) received surgical treatments under general anesthesia at JUH during the study period. Although the age-sex distribution was similar (Table 1), the distribution of surgeries among different surgical departments before and after JCI accreditation was significantly different (S2 Table).

Main results

Of the 8,835 and 4,453 patients receiving surgery before and after JCI accreditation, 3,222 pairs were matched for age, sex and specific surgery (Fig 2), resulting in groups for comparison (Tables 1 and 2). Table 3 shows the time periods in the operating room between matched patients before and after JCI accreditation. The TPT (197.4 ± 133.3 minutes vs. 195.2 ± 131.9 minutes, before vs. after JCI, p = 0.494) was not significantly different between groups. The preAT was significantly increased after JCI accreditation (8.2 ± 6.9 minutes vs. 8.5 ± 6.9 minutes, before vs. after JCI, respectively, p = 0.028), whereas the AIT was significantly reduced after JCI accreditation (34.4 ± 16.1 minutes vs. 33.6 ± 15.4 minutes, before vs. after JCI, respectively, p = 0.037). However, PT (42.6 ± 18.0 minutes vs. 42.2 ± 17.4 minutes, before vs. after JCI, p = 0.318) and postPT (20.7 ± 11.7 minutes vs. 20.6 ± 10.8 minutes, before vs. after JCI, p = 0.920) were not significantly different between groups.

Fig 2. The flow diagram.

Fig 2

A total of 13,288 patients were included in this study. Of the 8,835 and 4,453 patients receiving surgery before and after JCI accreditation, 3,222 pairs were matched for age (every 10 years), sex, and specific type of surgery. JCI = Joint Commission International.

Table 3. Time periods in the operating room between matched patients before and after JCI accreditation.

Before JCI After JCI
Time periods, minutes (SD) N = 3,222 N = 3,222 p value
Pre-anesthesia time 8.2 (6.9) 8.5 (6.9) *0.028
Anesthesia induction time 34.4 (16.1) 33.6 (15.4) *0.037
Pre-procedure/surgery time 42.6 (18.0) 42.2 (17.4) 0.318
Procedure/surgery time 134.1 (116.2) 132.3 (114.8) 0.534
Anesthesia awareness time 16.3 (10.9) 16.2 (10.2) 0.587
Post-anesthesia time 4.4 (5.1) 4.5 (4.8) 0.351
Post-procedure/surgery time 20.7 (11.7) 20.6 (10.8) 0.920
Total procedure/surgery time 197.4 (133.3) 195.2 (131.9) 0.494

JCI; Joint Commission International, SD; standard deviation. p values are calculated using the unpaired t-test (*<0.05).

Subgroup analyses

AIT among patients who underwent total knee arthroplasty, and AAT and postPT among patients who underwent laparoscopic cholecystectomy were significantly decreased after JCI accreditation (Table 4A–4C). However, TPT was not significantly changed after JCI accreditation.

Table 4. The time periods in the operating room for three common and standardized surgeries before and after JCI accreditation.

A. Total hip arthroplasty
Before JCI After JCI
Time periods, minutes (SD) n = 66 n = 66 p value
Pre-anesthesia time 6.3 (4.3) 6.8 (3.6) 0.456
Anesthesia induction time 38.5 (7.7) 38.9 (8.9) 0.770
Pre-procedure/surgery time 44.8 (7.4) 45.7 (9.4) 0.524
Procedure/surgery time 116.2 (35.3) 122.0 (36.1) 0.358
Anesthesia awareness time 20.0 (6.2) 19.0 (7.3) 0.390
Post-anesthesia time 5.3 (4.3) 5.5 (4.9) 0.778
Post-procedure/surgery time 25.4 (6.1) 24.6 (7.6) 0.514
Total procedure/surgery time 186.4 (39.2) 192.3 (33.8) 0.358
B. Total knee arthroplasty
Before JCI After JCI
Time periods, minutes (SD) n = 41 n = 41 p value
Pre-anesthesia time 14.5 (7.4) 17.1 (8.2) 0.131
Anesthesia induction time 32.5 (7.2) 28.4 (8.5) *0.020
Pre-procedure/surgery time 47.0 (9.1) 45.5 (7.8) 0.429
Procedure/surgery time 103.4 (20.7) 102.5 (28.2) 0.866
Anesthesia awareness time 16.3 (7.1) 15.7 (5.8) 0.697
Post-anesthesia time 5.6 (5.6) 4.4 (4.6) 0.233
Post-procedure/surgery time 21.9 (6.6) 20.1 (6.0) 0.184
Total procedure/surgery time 172.4 (26.1) 168.2 (30.9) 0.508
C. Laparoscopic cholecystectomy
Before JCI After JCI
Time periods, minutes (SD) n = 37 n = 37 p value
Pre-anesthesia time 8.5 (6.3) 9.8 (6.5) 0.417
Anesthesia induction time 43.0 (7.6) 43.4 (9.5) 0.850
Pre-procedure/surgery time 51.5 (7.4) 53.1 (9.9) 0.435
Procedure/surgery time 136.9 (31.8) 138.6 (41.1) 0.848
Anesthesia awareness time 32.7 (10.8) 24.5 (10.6) **0.002
Post-anesthesia time 4.9 (7.4) 4.6 (4.1) 0.818
Post-procedure/surgery time 37.6 (11.4) 29.1 (9.9) **0.001
Total procedure/surgery time 226.0 (36.0) 220.8 (41.6) 0.562

JCI; Joint Commission International, SD; standard deviation. p values are calculated using the unpaired t-test (*p<0.05, **p<0.01).

Discussion and conclusions

The demands of an aging society coupled with a progressively shrinking workforce have led to a financial crisis in trying to meet the needs of universal health care [5, 9]. Various measures, strategies and systems have been considered to curb the growth of medical expenses with only moderate effect [10]. Under such conditions, individual hospitals must strive to improve the efficiency of medical treatment with their limited income but without sacrificing the quality of medical care [2]. Hospitals should focus on the efficient management of surgical hospitalizations [11], as the operating room is an important source of revenue and accounts for more than 40% of hospital income [12]. Especially in acute care hospitals, the number of inpatients and outpatients is directly affected by operating room efficiency. In this study, we analyzed the time periods of standardized operating room procedures before and after JCI accreditation.

Hospital accreditation has become increasingly important to guarantee the quality of medical care and patient safety [4, 13]. JCI requires rigorous enforcement of IPSG to uphold quality medical care and promote continuous quality improvement of provided services. JUH has implemented surgical record sheets in their electronic medical records to ensure adherence to IPSG standards (S1 Table). Our data shows that preAT was significantly increased after JCI accreditation, possibly due to IPSG improvements in patient identification and medical staff communication. Despite that, the increased preAT was small, and the other time periods and TPT were not significantly affected, indicating that standardization of surgical parameters may reduce certain surgical time periods without significantly increasing TPT. The reduced AIT reflects a possibility that standardization of operating room procedures helps promote a clear understanding of each individuals responsibilities and enhances communication among team members [14], resulting in both improved patient safety and operating room efficiency [15].

In the subgroup analysis, the PTs were constant before and after JCI accreditation. Although preATs were also not significantly different, there was a slight increase in both groups before and after JCI accreditation, likely due to a lack of statistical power. TPT was unaffected in the subgroup analysis, supporting that implementation of standardized IPSG by JCI does not affect TPT.

Optimizing time periods in the operating room are important for the management and improvement of operating room resource utilization. Here, we revealed data on TPT and its five component time periods. These detailed data identify critical points in operation room management and help optimize planning, communication, and timing. Real-time implementation should help avoid bottle necks in operating room work flow. Ideally, the system can automatically track patients and resources and monitoring overall operating room performance [16]. Our system still requires manual input of information, but wireless patient tracking systems can timestamp key events more accurately [17].

There are several limitations to this study. First, data from a single university hospital may be difficult to generalize given inherent differences in hospital size, services provided, and patient population. However, it is reasonable to assume similar dynamics in hospitals worldwide, given the increasing trend of gaining external accreditation in hospitals. Second, we were not able to adjust for some factors that may have affected the operating time such as differences in the skills of the anesthesiologists and surgeons, differences in elective compared with emergent surgeries, and disease severity [18]. In addition, the accuracy of the data may be affected by manually recording the time intervals in the operating room. Third, despite our decision to dichotomize groups based on the date of JCI accreditation, IPSG measures may have affected clinical practice more gradually, resulting in a possible underestimation of the effects of IPSG on surgical time periods. In addition, S1 Fig shows the stable trend of incidents where further treatment is required after surgical intervention due to medical errors. Thus, the introduction of IPSG according to JCI had a small influence on the trend of incidents in the operating room, since the there is a few accidents rate in JUH. Finally, in our subgroup analysis, there were no significant differences in time periods between groups (except for AIT among patients who underwent total knee arthroplasty, and AAT and postPT among patients who underwent laparoscopic cholecystectomy), but this may be due to lack of statistical power.

In summary, here we investigated the impact of JCI accreditation and implementation of standardized procedures on time periods in the operating room. preAT was significantly increased, AIT was significantly reduced, and TPT was unchanged after implementing IPSG. Therefore, we concluded that patient safety and operating room efficiency can be compatible.

Supporting information

S1 File. Dataset.

(XLS)

S2 File. STROBE_checklist.

(PDF)

S1 Table. Steps for pre-anesthesia time and anesthesia induction time.

(PDF)

S2 Table. The distribution of the department before matching.

(PDF)

S3 Table. Time periods in the operating room before matching.

(PDF)

S1 Fig. The trend of incidents, which is when continuous treatment is required following surgery due to an incident.

(PDF)

Acknowledgments

The authors thank the colleagues working at Juntendo University Hospital, Department of Surgery.

Data Availability

All relevant data are within the manuscript and its Supporting Information files. We de-identified those data and no longer contains identifying information. Our ethics committee approved to share our data on publication.

Funding Statement

This study was supported by Hogy Medical, Inc. The sponsor or funding organization had no role in the design or conduct of this research.

References

  • 1.Etzioni DA, Liu JH, Maggard MA, Ko CY. The aging population and its impact on the surgery workforce. Ann Surg. 2003;238(2):170–7. 10.1097/01.SLA.0000081085.98792.3d ; PubMed Central PMCID: PMCPMC1422682. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Overdyk FJ, Harvey SC, Fishman RL, Shippey F. Successful strategies for improving operating room efficiency at academic institutions. Anesth Analg. 1998;86(4):896–906. . [DOI] [PubMed] [Google Scholar]
  • 3.Shojania KG, Duncan BW, McDonald KM, Wachter RM, Markowitz AJ. Making health care safer: a critical analysis of patient safety practices. Evid Rep Technol Assess (Summ). 2001;(43):i-x, 1–668. ; PubMed Central PMCID: PMCPMC4781305. [PMC free article] [PubMed] [Google Scholar]
  • 4.Joint Commission International. International Patient Safety Goals 2017 [cited 2017 July, 15th]. Available from: http://www.jointcommissioninternational.org/improve/international-patient-safety-goals/.
  • 5.McGinnis SL, Moore J. The impact of the aging population on the health workforce in the United States—summary of key findings. Cah Sociol Demogr Med. 2006;46(2):193–220. . [PubMed] [Google Scholar]
  • 6.Glossary of times used for scheduling and monitoring of diagnostic and therapeutic procedures. AORN J. 1997;66(4):601–6. . [DOI] [PubMed] [Google Scholar]
  • 7.Mazzei WJ. Operating room start times and turnover times in a university hospital. J Clin Anesth. 1994;6(5):405–8. . [DOI] [PubMed] [Google Scholar]
  • 8.Hsiao KC, Machaidze Z, Pattaras JG. Time management in the operating room: an analysis of the dedicated minimally invasive surgery suite. JSLS. 2004;8(4):300–3. ; PubMed Central PMCID: PMCPMC3016833. [PMC free article] [PubMed] [Google Scholar]
  • 9.Sasaki T, Izawa M, Okada Y. Current trends in health insurance systems: OECD countries vs. Japan. Neurol Med Chir (Tokyo). 2015;55(4):267–75. 10.2176/nmc.ra.2014-0317 ; PubMed Central PMCID: PMCPMC4628174. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Zhu X, Cai Q, Wang J, Liu Y. Determinants of Medical and Health Care Expenditure Growth for Urban Residents in China: A Systematic Review Article. Iran J Public Health. 2014;43(12):1597–604. ; PubMed Central PMCID: PMCPMC4499080. [PMC free article] [PubMed] [Google Scholar]
  • 11.Denton B, Viapiano J, Vogl A. Optimization of surgery sequencing and scheduling decisions under uncertainty. Health Care Manag Sci. 2007;10(1):13–24. . [DOI] [PubMed] [Google Scholar]
  • 12.Klerman EB, Adler GK, Jin M, Maliszewski AM, Brown EN. A statistical model of diurnal variation in human growth hormone. Am J Physiol Endocrinol Metab. 2003;285(5):E1118–26. 10.1152/ajpendo.00562.2002 . [DOI] [PubMed] [Google Scholar]
  • 13.Devkaran S, O'Farrell PN. The impact of hospital accreditation on quality measures: an interrupted time series analysis. BMC Health Serv Res. 2015;15:137 10.1186/s12913-015-0784-5 ; PubMed Central PMCID: PMCPMC4421919. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Torkki PM, Alho AI, Peltokorpi AV, Torkki MI, Kallio PE. Managing urgent surgery as a process: Case study of a trauma center. Int J Technol Assess Health Care. 2006;22(2):255–60. 10.1017/S0266462306051087 . [DOI] [PubMed] [Google Scholar]
  • 15.Cendan JC, Good M. Interdisciplinary work flow assessment and redesign decreases operating room turnover time and allows for additional caseload. Arch Surg. 2006;141(1):65–9; discussion 70. 10.1001/archsurg.141.1.65 . [DOI] [PubMed] [Google Scholar]
  • 16.Macario A, Vasanawala M. Technology and computing in the surgical suite: key features of an or management information system and opportunities for the future. Anesth Analg. 2002;95(4):1120–1. . [DOI] [PubMed] [Google Scholar]
  • 17.Marjamaa RA, Torkki PM, Torkki MI, Kirvela OA. Time accuracy of a radio frequency identification patient tracking system for recording operating room timestamps. Anesth Analg. 2006;102(4):1183–6. 10.1213/01.ane.0000196527.96964.72 . [DOI] [PubMed] [Google Scholar]
  • 18.Yasunaga H, Tsuchiya K, Matsuyama Y, Ohe K. Analysis of factors affecting operating time, postoperative complications, and length of stay for total knee arthroplasty: nationwide web-based survey. J Orthop Sci. 2009;14(1):10–6. 10.1007/s00776-008-1294-7 . [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S1 File. Dataset.

(XLS)

S2 File. STROBE_checklist.

(PDF)

S1 Table. Steps for pre-anesthesia time and anesthesia induction time.

(PDF)

S2 Table. The distribution of the department before matching.

(PDF)

S3 Table. Time periods in the operating room before matching.

(PDF)

S1 Fig. The trend of incidents, which is when continuous treatment is required following surgery due to an incident.

(PDF)

Data Availability Statement

All relevant data are within the manuscript and its Supporting Information files. We de-identified those data and no longer contains identifying information. Our ethics committee approved to share our data on publication.


Articles from PLoS ONE are provided here courtesy of PLOS

RESOURCES