BACKGROUND: Adolescent idiopathic scoliosis (AIS) surgery is the most common reason for elective pediatric orthopaedic surgery. Minimization of adverse events is an important goal. Institute of Medicine (IOM) outlined 6 facets of healthcare quality improvement within the acronym STEEEP. Two of these facets, Safety and Timeliness for AIS surgery in Canada, are examined in this thesis. METHODS: A three - part study, using clinical records at the largest Canadian pediatric hospital and CIHI national administrative data, determined i) the relationship between surgical wait times and rates of adverse events, along with determination of an empirically derived access target, ii) accuracy of ICD-10 coding of surgical AIS cases along with an optimal search strategy to identify surgical AIS cases, and iii) the volume – outcome relationships for scoliosis surgery using hierarchical and conventional single level multi-variate regression analysis. RESULTS: Access target of 3 months minimized the adverse events related to waiting. Optimal search strategy for AIS surgical cases using ICD-10 coding required combination of codes as each code in isolation was inaccurate due to limitations in coding definitions. There was no significant volume – outcome relationship using appropriate modeling strategies. CONCLUSIONS: Ensuring timeliness of surgical treatment of less than 3 months is important in surgical cases of AIS given the potential for curve progression in higher risk individuals who are skeletally immature with large magnitude curves at time of surgical consent. At the administrative database level, knowledge of coding accuracy and optimal search strategies are needed to capture a complete cohort for analysis. In AIS, several ICD-10 codes need to be combined. AIS surgery cases captured through this optimal search strategy, revealed no significant volume-outcome relationships with appropriate modeling. Based on these results, minimum volume thresholds and regionalization of care for AIS surgery does not appear to be justified. However, a larger sample size was needed to determine whether there was a clinically significant difference in wound infection and blood transfusion rates. Furthermore, clinical variables, not part of an administrative database such as curve pattern were not included.

BACKGROUND: Adolescent idiopathic scoliosis (AIS) surgery is the most common reason for elective pediatric orthopaedic surgery. Minimization of adverse events is an important goal. Institute of Medicine (IOM) outlined 6 facets of healthcare quality improvement within the acronym STEEEP. Two of these facets, Safety and Timeliness for AIS surgery in Canada, are examined in this thesis. METHODS: A three - part study, using clinical records at the largest Canadian pediatric hospital and CIHI national administrative data, determined i) the relationship between surgical wait times and rates of adverse events, along with determination of an empirically derived access target, ii) accuracy of ICD-10 coding of surgical AIS cases along with an optimal search strategy to identify surgical AIS cases, and iii) the volume – outcome relationships for scoliosis surgery using hierarchical and conventional single level multi-variate regression analysis. RESULTS: Access target of 3 months minimized the adverse events related to waiting. Optimal search strategy for AIS surgical cases using ICD-10 coding required combination of codes as each code in isolation was inaccurate due to limitations in coding definitions. There was no significant volume – outcome relationship using appropriate modeling strategies. CONCLUSIONS: Ensuring timeliness of surgical treatment of less than 3 months is important in surgical cases of AIS given the potential for curve progression in higher risk individuals who are skeletally immature with large magnitude curves at time of surgical consent. At the administrative database level, knowledge of coding accuracy and optimal search strategies are needed to capture a complete cohort for analysis. In AIS, several ICD-10 codes need to be combined. AIS surgery cases captured through this optimal search strategy, revealed no significant volume-outcome relationships with appropriate modeling. Based on these results, minimum volume thresholds and regionalization of care for AIS surgery does not appear to be justified. However, a larger sample size was needed to determine whether there was a clinically significant difference in wound infection and blood transfusion rates. Furthermore, clinical variables, not part of an administrative database such as curve pattern were not included.