Optimizing the collection and reporting of wait time data. Conference Paper uri icon

  •  
  • Overview
  •  
  • Research
  •  
  • Identity
  •  
  • Additional Document Info
  •  
  • View All
  •  

abstract

  • 121 Background: Wait times for critical interventional radiology (IR) procedures have long been reported as barriers to access for cancer patients. Wait times have been difficult to measure in the province of Ontario as no mechanisms exist to capture IR data. Three individual programs at Cancer Care Ontario (CCO) began collection of CT-guided biopsies wait time data, with nuances dependent on program area of focus. The Cancer Imaging Program collects appointment availability for lung biopsies through a monthly email survey. The Diagnostic Assessment Program collects patient-level lung biopsy data at select facilities in the province. The Access to Care program collects patient-level data from facilities that perform CT biopsies, but the data is not specific to lung biopsies. To streamline data collection processes and provide a comprehensive report for the province, the three programs are collaborating to validate current data sets and optimize data collection. Methods: A four phase approach has been developed to prepare for the ongoing comprehensive report: Planning – identify target audience, timelines, and data; Data Validation – three step evaluation to compare data sets; Test Report – consultation of draft report with clinical experts; and Evaluation – lessons learned from steps one to three to prepare for ongoing report. Results: This initiative allows each program to: Critically assess the components of their respective datasets; Cross-validate data for consistency or alignment; and Frame the clinically relevant data components to support and inform decision making and reporting processes. Through this process, efficiencies are gained by streamlining data collection and ensuring alignment between program areas. The collaborative approach ensures the business needs of each program are protected in the final product. Furthermore, this process will allow decision makers at CCO to analyze various methods of wait time data collection and aid in methodology decisions of future collections. Conclusions: The final product of this initiative will provide physicians and decision makers throughout Ontario with robust data to understand what is happening in their hospitals. The report will also facilitate impact analysis of interventions to reduce wait times.

authors

  • Bedford, Colleen
  • Langer, Deanna
  • Kaan, Melissa
  • Norton, Jonathan
  • Ho, Brian
  • Thomas, Ann
  • Dobranowski, Julian

publication date

  • March 1, 2016