Overcoming challenges to data quality in the ASPREE clinical trial

© 2019 The Author(s). Background: Large-scale studies risk generating inaccurate and missing data due to the complexity of data collection. Technology has the potential to improve data quality by providing operational support to data collectors. However, this potential is under-explored in community-based trials. The Aspirin in reducing events in the elderly (ASPREE) trial developed a data suite that was specifically designed to support data collectors: the ASPREE Web Accessible Relational Database (AWARD). This paper describes AWARD and the impact of system design on data quality. Methods: AWARD's operational requirements, conceptual design, key challenges and design solutions for data quality are presented. Impact of design features is assessed through comparison of baseline data collected prior to implementation of key functionality (n = 1000) with data collected post implementation (n = 18,114). Overall data quality is assessed according to data category. Results: At baseline, implementation of user-driven functionality reduced staff error (from 0.3% to 0.01%), out-of-range data entry (from 0.14% to 0.04%) and protocol deviations (from 0.4% to 0.08%). In the longitudinal data set, which contained more than 39 million data values collected within AWARD, 96.6% of data values were entered within specified query range or found to be accurate upon querying. The remaining data were missing (3.4%). Participant non-attendance at scheduled study activity was the most common cause of missing data. Costs associated with cleaning data in ASPREE were lower than expected compared with reports from other trials. Conclusions: Clinical trials undertake complex operational activity in order to collect data, but technology rarely provides sufficient support. We find the AWARD suite provides proof of principle that designing technology to support data collectors can mitigate known causes of poor data quality and produce higher-quality data. Health information technology (IT) products that support the conduct of scheduled activity in addition to traditional data entry will enhance community-based clinical trials. A standardised framework for reporting data quality would aid comparisons across clinical trials

Potentially inappropriate medication use is associated with increased risk of incident disability in healthy older adults.

OnlinePublBACKGROUND: Efforts to minimize medication risks among older adults include avoidance of potentially inappropriate medications (PIMs). However, most PIMs research has focused on older people in aged or inpatient care, creating an evidence gap for community-dwelling older adults. To address this gap, we investigated the impact of PIMs use in the ASPirin in Reducing Events in the Elderly (ASPREE) clinical trial cohort. METHODS: Analysis included 19,114 community-dwelling ASPREE participants aged 70+ years (65+ if US minorities) without major cardiovascular disease, cognitive impairment, or significant physical disability. PIMs were defined according to a modified 2019 AGS Beers Criteria. Cox proportional-hazards regression models were used to estimate the association between baseline PIMs exposure and disability-free survival, death, incident dementia, disability, and hospitalization, with adjustment for sex, age, country, years of education, frailty, average gait speed, and comorbidities. RESULTS: At baseline, 7396 (39% of the total) participants were prescribed at least one PIM. Compared with those unexposed, participants on a PIM at baseline were at an increased risk of persistent physical disability (adjusted hazard ratio [HR] 1.47, 95% confidence interval [CI] 1.21, 1.80) and hospitalization (adjusted HR 1.26, 95% CI 1.20, 1.32), but had similar rates of disability-free survival (adjusted HR 1.02; 95% CI 0.93, 1.13) and death (adjusted HR 0.92, 95% CI 0.81, 1.05). These effects did not vary by polypharmacy status in interaction analyses. PIMs exposure was associated with higher risk of disability followed by hospitalization (adjusted HR 1.92, 95% CI 1.25, 2.96) as well as vice versa (adjusted HR 1.54, 95% CI 1.15, 2.05). PPIs, anti-psychotics and benzodiazepines, were associated with increased risk of disability. CONCLUSIONS: PIMs exposure is associated with subsequent increased risk of both incident disability and hospitalization. Increased risk of disability prior to hospitalization suggests that PIMs use may start the disability cascade in healthy older adults. Our findings emphasize the importance of caution when prescribing PIMs to older adults in otherwise good health.Jessica E. Lockery, Taya A. Collyer, Robyn L. Woods, Suzanne G. Orchard, Anne Murray, Mark R. Nelson, Nigel P. Stocks, Rory Wolfe, Chris Moran, Michael E. Ernst, on behalf of the ASPREE Investigator Grou