Implementation of a data accuracy plan to improve data extraction yield in the Axon Registry (R)
NEUROLOGY
Authors: Victorio, M. Cristina C.; Lundgren, Karen; Johnston-Gross, Melissa; Bennett, Amy; Magliocco, Brandon; Deshpande, Aditya; Jones, Lyell K., Jr.
Abstract
Objective To conduct a data quality improvement project to improve the quality measure data mapping and to measure key phrase logic in the Axon Registry.(R) Methods Prior validation analysis of the Axon Registry identified 2 main areas for remediation: methodology for mapping data from electronic health record (EHR) into the registry clinical data record (CDR) and key phrase logic for each measure. Practice groups participating in Axon Registry and 6 Axon Registry quality measures were selected for intervention. Mapping of measure elements and measure performances for each of the selected measures and practices were reviewed before intervention. The Data Accuracy Plan (DAP) was performed, and documentation data and visit data counts and data yield after intervention were calculated and analyzed. Results Documentation data and visit data counts and data yield increased for all 6 quality measures and all practices in the DAP. Increase in documentation data count ranged from 815 to 15,782 occurrences, while visit data count increase ranged from 519 to 16,383 visits. Average data yield range was 7.22% to 33.46% before intervention and increased to a range from 15.34% to 74.40% after intervention. Conclusion There was substantial improvement in the accuracy of data extraction for quality measure elements after intervention to improve methodology for mapping EHR data into CDR and key phrase logic. Implementation of changes and continued review of data mapping and data dictionary are important to ensure accurate measure performance and to improve reliability and validity of Axon Registry data.
The impact of concordance with a lung cancer diagnosis pathway guideline on treatment access in patients with stage IV lung cancer
JOURNAL OF THORACIC DISEASE
Authors: Pattison, Andrew; Jeagal, Luke; Yasufuku, Kazuhiro; Pierre, Andrew; Donahoe, Laura; Yeung, Jonathan; Darling, Gail; Cypel, Marcelo; De Perrot, Marc; Waddell, Tom; Keshavjee, Shaf; Czarnecka-Kujawa, Kasia
Abstract
Background: Timely access to treatment of lung cancer is dependent on efficient and appropriate patient assessment and early referral for diagnostic workup. This study assesses the impact of Cancer Care Ontario (CCO) Lung Cancer Diagnostic Pathway Guideline (LCDPG) concordance on access to treatment of stage IV lung cancer patients referred to the Diagnostic Assessment Program (DAP) at a Canadian tertiary cancer centre. Methods: This retrospective cohort study includes patients diagnosed with clinical stage IV lung cancer referred to the DAP at a Canadian tertiary cancer centre between November 1, 2015 and May 31, 2017. Referral concordance was determined based on CCO LCDPG. The primary outcome; time to treatment from initial healthcare presentation; was compared between the concordant and discordant referrals. Results: Two hundred patients were referred for clinical stage IV lung cancer during the study period. Of these referrals, 151 (75.5%) were assessed and referred in concordance with LCDPG. Guideline concordant referrals were associated with reduced time to treatment from first healthcare presentation compared with guideline discordant referrals (55.3 vs. 108.8 days, P<0.001). Time to diagnostic procedure (32.2 vs. 86.7 days, P<0.001) and decision to treat (38.5 vs. 93.8 days, P<0.001) were also reduced with guideline concordance. The most common reason for discordant assessment and referral was delayed or inadequate investigation of symptoms in a high risk patient (32.7% of discordant referrals). Conclusions: Guideline concordant assessment and referral of stage IV lung cancer patients results in reduced time to diagnosis and treatment. Future research and education should focus on improving factors that delay DAP referral.