Primary Care Providers’ Views on Using Lung Age as an Aid to Smoking Cessation Counseling for Patients with Chronic Obstructive Pulmonary Disease

Purpose Smoking cessation is the primary goal for managing patients with chronic obstructive pulmonary disease (COPD) who smoke. However, previous studies have demonstrated poor cessation rates. The “lung age” concept (an estimate of the age at which the FEV1 would be considered normal) was developed to present spirometry data in an understandable format and to serve as a tool to encourage smokers to quit. Primary care physicians’ (PCPs) views of using lung age to help COPD patients to quit smoking were assessed. Methods Post-intervention interviews were conducted with PCPs in the U.S. who participated in the randomized clinical trial, “Translating the GOLD COPD Guidelines into Primary Care Practice.” Results 29 physicians completed the interview. Themes identified during interviews included: general usefulness of lung age for smoking cessation counseling, ease of understanding the concept, impact on patients’ thoughts of quitting smoking, and comparison to FEV1. Most providers found lung age easy to communicate. Moreover, some found the tool to be less judgmental for smoking cessation and others remarked on the merits of having a simple, tangible number to discuss with their patients. However, some expressed doubt over the long-term benefits of lung age and several others thought that there might be a potential backfire for healthy smokers if their lung age was ≤ to their chronological age. Conclusions This study suggests that lung age was well received by the majority of PCPs and appears feasible to use with COPD patients who smoke. However, further investigation in needed to explore COPD patients’ perspectives of obtaining their lung age to help motivate them to quit in randomized clinical trials

Primary Care Providers’ Views on Using Lung Age as an Aid to Smoking Cessation Counseling for Patients with Chronic Obstructive Pulmonary Disease

Purpose Smoking cessation is the primary goal for managing patients with chronic obstructive pulmonary disease (COPD) who smoke. However, previous studies have demonstrated poor cessation rates. The “lung age” concept (an estimate of the age at which the FEV1 would be considered normal) was developed to present spirometry data in an understandable format and to serve as a tool to encourage smokers to quit. Primary care physicians’ (PCPs) views of using lung age to help COPD patients to quit smoking were assessed. Methods Post-intervention interviews were conducted with PCPs in the U.S. who participated in the randomized clinical trial, “Translating the GOLD COPD Guidelines into Primary Care Practice.” Results 29 physicians completed the interview. Themes identified during interviews included: general usefulness of lung age for smoking cessation counseling, ease of understanding the concept, impact on patients’ thoughts of quitting smoking, and comparison to FEV1. Most providers found lung age easy to communicate. Moreover, some found the tool to be less judgmental for smoking cessation and others remarked on the merits of having a simple, tangible number to discuss with their patients. However, some expressed doubt over the long-term benefits of lung age and several others thought that there might be a potential backfire for healthy smokers if their lung age was ≤ to their chronological age. Conclusions This study suggests that lung age was well received by the majority of PCPs and appears feasible to use with COPD patients who smoke. However, further investigation in needed to explore COPD patients’ perspectives of obtaining their lung age to help motivate them to quit in randomized clinical trials

Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative

Objective In response to COVID-19, the informatics community united to aggregate as much clinical data as possible to characterize this new disease and reduce its impact through collaborative analytics. The National COVID Cohort Collaborative (N3C) is now the largest publicly available HIPAA limited dataset in US history with over 6.4 million patients and is a testament to a partnership of over 100 organizations. Materials and Methods We developed a pipeline for ingesting, harmonizing, and centralizing data from 56 contributing data partners using 4 federated Common Data Models. N3C data quality (DQ) review involves both automated and manual procedures. In the process, several DQ heuristics were discovered in our centralized context, both within the pipeline and during downstream project-based analysis. Feedback to the sites led to many local and centralized DQ improvements. Results Beyond well-recognized DQ findings, we discovered 15 heuristics relating to source Common Data Model conformance, demographics, COVID tests, conditions, encounters, measurements, observations, coding completeness, and fitness for use. Of 56 sites, 37 sites (66%) demonstrated issues through these heuristics. These 37 sites demonstrated improvement after receiving feedback. Discussion We encountered site-to-site differences in DQ which would have been challenging to discover using federated checks alone. We have demonstrated that centralized DQ benchmarking reveals unique opportunities for DQ improvement that will support improved research analytics locally and in aggregate. Conclusion By combining rapid, continual assessment of DQ with a large volume of multisite data, it is possible to support more nuanced scientific questions with the scale and rigor that they require