Recognizing 30 Years of Accomplishments and Envisioning an Innovative Future - The 2024 Annual Conference of the Health Care Systems Research Network.

The Health Care Systems Research Network (HCSRN) kicked off the 2024 Annual Conference on April 9, 2024, in Milwaukee at the Hyatt Regency with nearly 275 participants from 19 HCSRN member institutions. This year, HCSRN attendees joined their colleagues to reconnect and network during the three-day conference featuring the theme, "Advancing High-Quality, Equitable Research in the Age of New Health Care Technologies."

Rates of Downstream Procedures and Complications Associated With Lung Cancer Screening in Routine Clinical Practice : A Retrospective Cohort Study.

Background: Lung cancer screening (LCS) using low-dose computed tomography (LDCT) reduces lung cancer mortality but can lead to downstream procedures, complications, and other potential harms. Estimates of these events outside NLST (National Lung Screening Trial) have been variable and lacked evaluation by screening result, which allows more direct comparison with trials.

Objective: To identify rates of downstream procedures and complications associated with LCS.

Data gaps and opportunities for modeling cancer health equity.

Population models of cancer reflect the overall US population by drawing on numerous existing data resources for parameter inputs and calibration targets. Models require data inputs that are appropriately representative, collected in a harmonized manner, have minimal missing or inaccurate values, and reflect adequate sample sizes. Data resource priorities for population modeling to support cancer health equity include increasing the availability of data that 1) arise from uninsured and underinsured individuals and those traditionally not included in health-care delivery studies, 2) reflect relevant exposures for groups historically and intentionally excluded across the full cancer control continuum, 3) disaggregate categories (race, ethnicity, socioeconomic status, gender, sexual orientation, etc.

Development of an Electronic Health Record-Based Algorithm for Predicting Lung Cancer Screening Eligibility in the Population-Based Research to Optimize the Screening Process Lung Research Consortium.

Purpose: Lung cancer screening (LCS) guidelines in the United States recommend LCS for those age 50-80 years with at least 20 pack-years smoking history who currently smoke or quit within the last 15 years. We tested the performance of simple smoking-related criteria derived from electronic health record (EHR) data and developed and tested the performance of a multivariable model in predicting LCS eligibility.

Methods: Analyses were completed within the Population-based Research to Optimize the Screening Process Lung Consortium (PROSPR-Lung).

Uptake of Lung Cancer Screening CT After a Provider Order for Screening in the PROSPR-Lung Consortium.

Background: Uptake of lung cancer screening (LCS) has been slow with less than 20% of eligible people who currently or formerly smoked reported to have undergone a screening CT.

Objective: To determine individual-, health system-, and neighborhood-level factors associated with LCS uptake after a provider order for screening.

Design And Subjects: We conducted an observational cohort study of screening-eligible patients within the Population-based Research to Optimize the Screening Process (PROSPR)-Lung Consortium who received a radiology referral/order for a baseline low-dose screening CT (LDCT) from a healthcare provider between January 1, 2015, and June 30, 2019.