OBJECTIVES: Wait times in Canada are increasingly being monitored as an indicator of quality health care delivery. We created a higher resolution picture of the wait experienced by urological surgery patients beginning with the initial referral. In doing so, we hoped to (a) identify potential bottlenecks and common delays at our centre, and (b) identify predictors of wait time. METHODS: The charts of 322 patients undergoing surgery from November 2007 to March 2008 were reviewed and specific dates, patient factors and delays were recorded. The data were used to detail the patient's wait and to determine the patient factors which were predictive of wait time. RESULTS: The mean time from decision to operate to the day of operation was 75.87 days for all patients. This number accounts for 53% of the wait time, while the time from referral to decision to operate is 47%. Predictors of a decreased wait time include cancer cases, younger age, urgency score, repeat patients and female gender in multivariate analysis. Delays were experienced by 16.8% of patients; most common delays were operating room cancellations/time constraints, patients requiring further optimization and delays in referral (4.7%, 3.4% and 3.1%, respectively). CONCLUSIONS: The waiting process is complex; the actual waiting time that a patient must endure is much longer than the wait times traditionally recorded and reported by hospitals. As strategies are implemented to decrease wait times, it will become increasingly important to monitor the entire wait time from referral to operation and to ensure that changes are being made that truly decrease wait times and not simply shift where and when the patient waits.
OBJECTIVES: Wait times in Canada are increasingly being monitored as an indicator of quality health care delivery. We created a higher resolution picture of the wait experienced by urological surgery patients beginning with the initial referral. In doing so, we hoped to (a) identify potential bottlenecks and common delays at our centre, and (b) identify predictors of wait time. METHODS: The charts of 322 patients undergoing surgery from November 2007 to March 2008 were reviewed and specific dates, patient factors and delays were recorded. The data were used to detail the patient's wait and to determine the patient factors which were predictive of wait time. RESULTS: The mean time from decision to operate to the day of operation was 75.87 days for all patients. This number accounts for 53% of the wait time, while the time from referral to decision to operate is 47%. Predictors of a decreased wait time include cancer cases, younger age, urgency score, repeat patients and female gender in multivariate analysis. Delays were experienced by 16.8% of patients; most common delays were operating room cancellations/time constraints, patients requiring further optimization and delays in referral (4.7%, 3.4% and 3.1%, respectively). CONCLUSIONS: The waiting process is complex; the actual waiting time that a patient must endure is much longer than the wait times traditionally recorded and reported by hospitals. As strategies are implemented to decrease wait times, it will become increasingly important to monitor the entire wait time from referral to operation and to ensure that changes are being made that truly decrease wait times and not simply shift where and when the patient waits.
Authors: Yves Fradet; Armen Aprikian; George Dranitsaris; Robert Siemens; John Tsihlias; Neil Fleshner Journal: Can J Urol Date: 2006-06 Impact factor: 1.344
Authors: A S Salinas-Sánchez; I Hernández-Millán; J G Lorenzo-Romero; M Segura-Martin; C Fernández-Olano; J A Virseda-Rodriguez Journal: Qual Life Res Date: 2001 Impact factor: 4.147
Authors: K Tran; C Sandoval; R Rahal; G Porter; R Siemens; J Hernandez; S Fung; C Louzado; J Liu; H Bryant Journal: Curr Oncol Date: 2015-10 Impact factor: 3.677
Authors: Wassim Kassouf; Armen Aprikian; Peter Black; Girish Kulkarni; Jonathan Izawa; Libni Eapen; Adrian Fairey; Alan So; Scott North; Ricardo Rendon; Srikala S Sridhar; Tarik Alam; Fadi Brimo; Normand Blais; Chris Booth; Joseph Chin; Peter Chung; Darrel Drachenberg; Yves Fradet; Michael Jewett; Ron Moore; Chris Morash; Bobby Shayegan; Geoffrey Gotto; Neil Fleshner; Fred Saad; D Robert Siemens Journal: Can Urol Assoc J Date: 2016-02-08 Impact factor: 1.862
Authors: Weng Hong Fun; Ee Hong Tan; Sondi Sararaks; Shakirah Md Sharif; Iqbal Ab Rahim; Suhana Jawahir; Vivien Han Ying Eow; Raoul Muhammad Yusof Sibert; Malindawati Mohd Fadzil; Siti Haniza Mahmud Journal: Healthcare (Basel) Date: 2021-05-31