Grant Number:	7R01CA222090-06 Interpret this number
Primary Investigator:	Carter-Bawa, Lisa
Organization:	Hackensack University Medical Center
Project Title:	Using a Mixed Methods Approach to Understand Shared Decision-Making in Lung Cancer Screening
Fiscal Year:	2022

PROJECT SUMMARY/ABSTRACT Efforts to enhance patient-centered care have resulted in increasing advocacy for shared decision-making (SDM). Yet, the active ingredients of SDM that positively impact decision quality and patient outcomes remain elusive. Lung cancer screening discussions and decisions are challenging for both patients and clinicians where benefits are present, but risk and uncertainty exist and vary by individual. There is a critical need to determine how patients and clinicians are approaching SDM in lung cancer screening and the impact on decision quality and important behavioral outcomes. Without this knowledge, effective interventions that support both the patient and clinician cannot be developed. Our long term goal is to develop the next generation of decision support tools and alternative communication strategies to support clinicians and patients as they face increasingly complex cancer screening decisions. Our overall objective in this application is to identify the components of patient- clinician discussions that contribute to high quality lung cancer screening decisions and subsequent important behavioral outcomes. Our central hypothesis is that patients who perceive lung cancer screening discussions with their clinician as shared will have positive decisional and behavioral outcomes. Guided by strong preliminary data, this hypothesis will be tested by pursuing three specific aims: 1) determine the key components of the SDM process that predict patient-perceived lung cancer screening decision quality, screening completion among patients who decide to screen, and stage of readiness for smoking cessation among current smokers; 2) identify clinician factors that predict patient-perceived lung cancer screening decision quality, screening completion among patients deciding to screen, and stage of readiness for smoking cessation among current smokers; and 3) identify patient factors that predict patient-perceived lung cancer screening decision quality, screening completion among patients deciding to screen, and stage of readiness for smoking cessation among current smokers. We will use a convergent mixed methods design to examine clinician (N=75) and patient (N=550) factors simultaneously by linking patient and clinician survey data with electronic health record data. We will examine further the decision process through content analysis of audio-recordings of preventive care visits in which lung cancer screening is discussed (N=30). This proposal is innovative in that results will exponentially advance our ability to create the next generation of decision support tools, including alternative communication strategies, to support patients and clinicians in lung cancer screening. This contribution is significant because identifying the “active ingredients” in the SDM process will open new research horizons, particularly in health communication, between clinicians and patients who are navigating complex health-related decisions such as lung cancer screening. Because of this work, we will also open new paths toward improving health communication among high-risk, long-term smokers and their clinicians about their health.





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