<clinical_study>
  <!-- This xml conforms to an XML Schema at:
    https://clinicaltrials.gov/ct2/html/images/info/public.xsd -->
  <required_header>
    <download_date>ClinicalTrials.gov processed this data on September 20, 2023</download_date>
    <link_text>Link to the current ClinicalTrials.gov record.</link_text>
    <url>https://clinicaltrials.gov/ct2/show/NCT03812133</url>
  </required_header>
  <id_info>
    <org_study_id>2018-2286</org_study_id>
    <nct_id>NCT03812133</nct_id>
  </id_info>
  <brief_title>Risk Factors and Reasons for Cancellation Within 24 Hours of Scheduled Elective Surgery in an Academic Medical Centre</brief_title>
  <official_title>Risk Factors and Reasons for Cancellation Within 24 Hours of Scheduled Elective Surgery in an Academic Medical Centre</official_title>
  <sponsors>
    <lead_sponsor>
      <agency>Singapore General Hospital</agency>
      <agency_class>Other</agency_class>
    </lead_sponsor>
  </sponsors>
  <source>Singapore General Hospital</source>
  <oversight_info>
    <has_dmc>No</has_dmc>
    <is_fda_regulated_drug>No</is_fda_regulated_drug>
    <is_fda_regulated_device>No</is_fda_regulated_device>
  </oversight_info>
  <brief_summary>
    <textblock>
      The Operating Theatre (OT) is the largest cost centre as well as the main revenue generator&#xD;
      in most hospitals. One of the common problems affecting optimal OT utilization is the&#xD;
      cancellation of scheduled surgeries. The goal of this study was to identify factors&#xD;
      associated with cancellation within 24 hours of scheduled surgeries in a tertiary hospital&#xD;
    </textblock>
  </brief_summary>
  <detailed_description>
    <textblock>
      The Operating Theatre (OT) is the largest cost centre as well as the main revenue generator&#xD;
      in most hospitals. The operating theatre involves significant resources - materials,&#xD;
      medications and manpower. One of the common problems affecting optimal OT utilization is the&#xD;
      cancellation of scheduled surgeries. This results in a significant waste of resources,&#xD;
      especially when cancellation occurs within 24 hours of the scheduled surgery, when it is too&#xD;
      late to arrange replacement surgery. Cancellation also impacts the patient and their&#xD;
      families.&#xD;
&#xD;
      Reported cancellation rates range between 5% to 40%. Reasons for cancellations vary,&#xD;
      including patient factors, surgeon factors, and system issues relating to the preoperative&#xD;
      anaesthesia assessment clinic attendance, the surgery itself, and the availability of&#xD;
      post-surgical care facilities. Between 60% to 90% of cancellations have been reported to be&#xD;
      potentially avoidable.&#xD;
&#xD;
      The goal of this study was to identify factors associated with cancellation within 24 hours&#xD;
      of scheduled surgery in a tertiary academic hospital, and the reasons for cancellation, with&#xD;
      the goal of identifying areas for intervention to reduce avoidable surgery cancellations and&#xD;
      reduce unnecessary waste.&#xD;
    </textblock>
  </detailed_description>
  <overall_status>Completed</overall_status>
  <start_date type="Actual">June 1, 2015</start_date>
  <completion_date type="Actual">December 31, 2016</completion_date>
  <primary_completion_date type="Actual">December 31, 2016</primary_completion_date>
  <study_type>Observational</study_type>
  <has_expanded_access>No</has_expanded_access>
  <study_design_info>
    <observational_model>Cohort</observational_model>
    <time_perspective>Retrospective</time_perspective>
  </study_design_info>
  <primary_outcome>
    <measure>Cancellation</measure>
    <time_frame>24 hours of surgery</time_frame>
    <description>Cancellation of surgery within 24 hours of procedure</description>
  </primary_outcome>
  <number_of_groups>1</number_of_groups>
  <enrollment type="Actual">4060</enrollment>
  <condition>Operating Theatre Cancellations</condition>
  <arm_group>
    <arm_group_label>Surgical patients</arm_group_label>
    <description>Patients who were electively scheduled for surgery.</description>
  </arm_group>
  <eligibility>
    <study_pop>
      <textblock>
        The median patient age was 68 years (IQR 63 - 75 years), with 44% being male patients and&#xD;
        80% Chinese. Majority were Singapore citizens or permanent residents (98%). Two-thirds of&#xD;
        the surgical patients were in a subsidized ward class (2665, 66%). Only 2% required&#xD;
        Medifund assistance.&#xD;
      </textblock>
    </study_pop>
    <sampling_method>Non-Probability Sample</sampling_method>
    <criteria>
      <textblock>
        Adult patients (age 18 years and older) who were scheduled for elective surgery at the&#xD;
        Singapore General Hospital main operating theatre or ambulatory surgical centre, regardless&#xD;
        of surgical discipline, or residency, were included in the study. Only the first surgery in&#xD;
        the study period was included if a patient had multiple surgeries over this period. Minor&#xD;
        surgeries under local anaesthesia were also excluded. We excluded those without previous&#xD;
        admissions in the past 3 years prior to the surgery, as data for chronic disease history&#xD;
        and healthcare utilization patterns were not available for these patients&#xD;
      </textblock>
    </criteria>
    <gender>All</gender>
    <minimum_age>18 Years</minimum_age>
    <maximum_age>N/A</maximum_age>
    <healthy_volunteers>Accepts Healthy Volunteers</healthy_volunteers>
  </eligibility>
  <verification_date>January 2019</verification_date>
  <study_first_submitted>January 18, 2019</study_first_submitted>
  <study_first_submitted_qc>January 18, 2019</study_first_submitted_qc>
  <study_first_posted type="Actual">January 22, 2019</study_first_posted>
  <last_update_submitted>January 18, 2019</last_update_submitted>
  <last_update_submitted_qc>January 18, 2019</last_update_submitted_qc>
  <last_update_posted type="Actual">January 22, 2019</last_update_posted>
  <responsible_party>
    <responsible_party_type>Sponsor</responsible_party_type>
  </responsible_party>
  <!-- Results have not yet been posted for this study                                          -->
</clinical_study>


download date: ClinicalTrials.gov processed this data on September 20, 2023
link text: Link to the current ClinicalTrials.gov record.
url: https://clinicaltrials.gov/ct2/show/NCT03812133
org study id: 2018-2286
nct id: NCT03812133
lead sponsor: 
has dmc: No
is fda regulated drug: No
is fda regulated device: No
The Operating Theatre (OT) is the largest cost centre as well as the main revenue generator
      in most hospitals. One of the common problems affecting optimal OT utilization is the
      cancellation of scheduled surgeries. The goal of this study was to identify factors
      associated with cancellation within 24 hours of scheduled surgeries in a tertiary hospital
The Operating Theatre (OT) is the largest cost centre as well as the main revenue generator
      in most hospitals. The operating theatre involves significant resources - materials,
      medications and manpower. One of the common problems affecting optimal OT utilization is the
      cancellation of scheduled surgeries. This results in a significant waste of resources,
      especially when cancellation occurs within 24 hours of the scheduled surgery, when it is too
      late to arrange replacement surgery. Cancellation also impacts the patient and their
      families.

      Reported cancellation rates range between 5% to 40%. Reasons for cancellations vary,
      including patient factors, surgeon factors, and system issues relating to the preoperative
      anaesthesia assessment clinic attendance, the surgery itself, and the availability of
      post-surgical care facilities. Between 60% to 90% of cancellations have been reported to be
      potentially avoidable.

      The goal of this study was to identify factors associated with cancellation within 24 hours
      of scheduled surgery in a tertiary academic hospital, and the reasons for cancellation, with
      the goal of identifying areas for intervention to reduce avoidable surgery cancellations and
      reduce unnecessary waste.
observational model: Cohort
time perspective: Retrospective
measure: Cancellation
time frame: 24 hours of surgery
description: Cancellation of surgery within 24 hours of procedure
arm group label: Surgical patients
description: Patients who were electively scheduled for surgery.
study pop: 
sampling method: Non-Probability Sample
criteria: 
gender: All
minimum age: 18 Years
maximum age: N/A
healthy volunteers: Accepts Healthy Volunteers
responsible party type: Sponsor