- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02646345
Surgical Checklist Success in Latin America
WHO Surgical Safety Checklist Implementation and Its Impact in Perioperative Morbidity and Mortality in an Academic Medical Center in Chile
Study Overview
Status
Intervention / Treatment
Detailed Description
The purpose was to determine the impact of the implementation of the World Health Organization (WHO) Surgical Safety Checklist in terms of morbidity and mortality in adult surgical patients in a tertiary healthcare institution in Chile.
After Institutional Review Board (IRB) approval (Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile), a retrospective analysis of all surgical encounters on patients age 15 and above from January 2005 to December 2012 at our center will be reviewed.
Encounter data will include up to 14 diagnostic and procedure International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codes, demographic data, date of admission and discharge, emergency status, healthcare system used and in-hospital death. A 5-level "high risk" variable was created in order to account for surgical complexity and associated in-hospital mortality (level 1, surgeries with <1% in-hospital mortality; level 2, 1% to <5%; level 3, 5% to <10%; level 4, 10% to <15%; level 5, > or = 15%)6.
Surgical heterogeneity will be calculated by the Internal Herfindahl Index, which represents the diversity or comprehensiveness of the types of procedures performed at a facility.
Statistics:
Propensity score (PS) analysis will be used to control for differences in baseline characteristics. The PS is the conditional probability of receiving an exposure (e.g. checklist) given a set of measured covariates. To estimate the PS, a logistic regression model will be used in which "treatment" status (checklist performed vs. not performed) will be regressed on the baseline (pre-treatment) characteristics.
PS analysis will be implemented in two ways to control for confounding:
- PS matching: matching will be performed using a one-to-one nearest neighbor caliper matching without replacement with a caliper size of 0.2 standard deviations. Balances in the distribution of baseline covariates will be assessed by estimating absolute standardized differences of the covariates between the two groups before and after matching. Any imbalanced covariates (standardized difference >10%) after matching will be adjusted for in the final analysis. As the PS matched sample does not consist of independent observations, we will use a marginal regression model with robust standard errors.
- PS weighting: the entire sample will be weighted by the inverse probability of the treatment weights derived from the PS. If a subject has a higher probability of being in a group, it will be considered over-represented and therefore will be assigned a lower weight. Conversely, if the subject has a smaller probability, it will be considered as under-represented and will be assigned a higher weight. We then will fit a weighted linear regression model using an indicator variable representing checklist intervention status as the sole predictor, and mortality as our outcome variable.
Data will be expressed as mean (SD; standard deviation) or median (IQR, interquartile range) unless otherwise stated. A two-sided p value less than 0.05 will be considered significant. The analyses will be performed using STATA v.12.0 (StataCorp, College Station, TX).
Study Type
Enrollment (Actual)
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- All surgical patients
Exclusion Criteria:
- Obstetrical patients delivering vaginally
- Patients less than 15 years old
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Pre Checklist
All surgical encounters before surgical checklist implementation
|
|
|
Post Checklist
All surgical encounters after surgical checklist implementation
|
Use of the World Health Organization Surgical checklist
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Mortality
Time Frame: Three years
|
30 day postoperative mortality
|
Three years
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Morbidity
Time Frame: Three years
|
30 day postoperative surgical site infection (measured in number of patients with surgical site infection)
|
Three years
|
|
Length of stay
Time Frame: Three years
|
Length of stay in days
|
Three years
|
Collaborators and Investigators
Investigators
- Principal Investigator: Hector J Lacassie, MD, Pontificia Universidad Catolica de Chile
Publications and helpful links
General Publications
- Haynes AB, Weiser TG, Berry WR, Lipsitz SR, Breizat AH, Dellinger EP, Herbosa T, Joseph S, Kibatala PL, Lapitan MC, Merry AF, Moorthy K, Reznick RK, Taylor B, Gawande AA; Safe Surgery Saves Lives Study Group. A surgical safety checklist to reduce morbidity and mortality in a global population. N Engl J Med. 2009 Jan 29;360(5):491-9. doi: 10.1056/NEJMsa0810119. Epub 2009 Jan 14.
- Urbach DR, Govindarajan A, Saskin R, Wilton AS, Baxter NN. Introduction of surgical safety checklists in Ontario, Canada. N Engl J Med. 2014 Mar 13;370(11):1029-38. doi: 10.1056/NEJMsa1308261.
- de Vries EN, Prins HA, Crolla RM, den Outer AJ, van Andel G, van Helden SH, Schlack WS, van Putten MA, Gouma DJ, Dijkgraaf MG, Smorenburg SM, Boermeester MA; SURPASS Collaborative Group. Effect of a comprehensive surgical safety system on patient outcomes. N Engl J Med. 2010 Nov 11;363(20):1928-37. doi: 10.1056/NEJMsa0911535.
- de Vries EN, Ramrattan MA, Smorenburg SM, Gouma DJ, Boermeester MA. The incidence and nature of in-hospital adverse events: a systematic review. Qual Saf Health Care. 2008 Jun;17(3):216-23. doi: 10.1136/qshc.2007.023622.
- Tscholl DW, Weiss M, Kolbe M, Staender S, Seifert B, Landert D, Grande B, Spahn DR, Noethiger CB. An Anesthesia Preinduction Checklist to Improve Information Exchange, Knowledge of Critical Information, Perception of Safety, and Possibly Perception of Teamwork in Anesthesia Teams. Anesth Analg. 2015 Oct;121(4):948-956. doi: 10.1213/ANE.0000000000000671.
- Schwarze ML, Barnato AE, Rathouz PJ, Zhao Q, Neuman HB, Winslow ER, Kennedy GD, Hu YY, Dodgion CM, Kwok AC, Greenberg CC. Development of a list of high-risk operations for patients 65 years and older. JAMA Surg. 2015 Apr;150(4):325-31. doi: 10.1001/jamasurg.2014.1819.
- Wachtel RE, Dexter F. Differentiating among hospitals performing physiologically complex operative procedures in the elderly. Anesthesiology. 2004 Jun;100(6):1552-61. doi: 10.1097/00000542-200406000-00031.
- Calland JF, Turrentine FE, Guerlain S, Bovbjerg V, Poole GR, Lebeau K, Peugh J, Adams RB. The surgical safety checklist: lessons learned during implementation. Am Surg. 2011 Sep;77(9):1131-7.
- Leape LL. The checklist conundrum. N Engl J Med. 2014 Mar 13;370(11):1063-4. doi: 10.1056/NEJMe1315851. No abstract available.
- Conley DM, Singer SJ, Edmondson L, Berry WR, Gawande AA. Effective surgical safety checklist implementation. J Am Coll Surg. 2011 May;212(5):873-9. doi: 10.1016/j.jamcollsurg.2011.01.052. Epub 2011 Mar 12.
Study record dates
Study Major Dates
Study Start
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Estimate)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Other Study ID Numbers
- 12-218
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
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