Surgical Checklist Success in Latin America

December 31, 2015 updated by: Pontificia Universidad Catolica de Chile

WHO Surgical Safety Checklist Implementation and Its Impact in Perioperative Morbidity and Mortality in an Academic Medical Center in Chile

Limited information is available about surgical checklist effectiveness in Latin America. We plan to compare the pre and post surgical checklist implementation in a tertiary healthcare center in terms of morbidity (length of stay and surgical site infection rate) and in-hospital mortality rate.

Study Overview

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:

  1. 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.
  2. 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

Observational

Enrollment (Actual)

70639

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

15 years and older (Child, Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

All surgical patients age 15 and above

Description

Inclusion Criteria:

  • All surgical patients

Exclusion Criteria:

  • Obstetrical patients delivering vaginally
  • Patients less than 15 years old

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

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

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Hector J Lacassie, MD, Pontificia Universidad Catolica de Chile

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

July 1, 2012

Primary Completion (Actual)

April 1, 2014

Study Completion (Actual)

April 1, 2014

Study Registration Dates

First Submitted

December 28, 2015

First Submitted That Met QC Criteria

December 31, 2015

First Posted (Estimate)

January 5, 2016

Study Record Updates

Last Update Posted (Estimate)

January 5, 2016

Last Update Submitted That Met QC Criteria

December 31, 2015

Last Verified

December 1, 2015

More Information

Terms related to this study

Other Study ID Numbers

  • 12-218

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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