Primary Care Providers' Knowledge, Attitudes, Beliefs, and Practice Related to Lung Cancer Screening in Five High-Risk Communities in New York City

Knowledge, attitude, and practice toward lung cancer risk among offspring of lung cancer patients: a cross-sectional study

Lung cancer is intricately associated with genetic susceptibility, leading to familial clustering among affected individuals. This cross-sectional study aimed to assess the knowledge, attitude, and practice (KAP) toward lung cancer risk among the offspring of lung cancer patients. This study was conducted at Guangdong Provincial People's Hospital between April 2023 and August 2023. Participants' demographic characteristics and KAP toward lung cancer risk were collected through questionnaires. A total of 481 valid questionnaires were enrolled, with 243 (50.52%) males, and 242 (50.31%) aged > 40 years old. The mean scores for knowledge, attitude, and practice were 8.54 ± 2.60 (range: 0-13), 25.93 ± 3.16 (range: 7-35), and 17.47 ± 4.30 (range: 5-25), respectively. Structural equation modeling indicated that knowledge exerted a negative direct effect on attitude (β = - 0.417, P = 0.006) but a positive direct effect on practice (β = 0.733, P = 0.025). Additionally, attitudes displayed a negative direct effect on practice (β = - 1.707, P = 0.002). In conclusion, offspring of lung cancer patients exhibited insufficient knowledge, positive attitude, and suboptimal practice toward lung cancer risk.

Factors associated with lung cancer risk factor documentation

Objectives

To identify factors associated with the minimum necessary information to determine an individual’s eligibility for lung cancer screening (ie, sufficient risk factor documentation) and to characterize clinic-level variability in documentation.

Study Design

Cross-sectional observational study using electronic health record data from an academic health system in 2019.

Methods

We calculated the relative risk of sufficient lung cancer risk factor documentation by patient-, provider-, and system-level variables using Poisson regression models, clustering by clinic. We compared unadjusted, risk-adjusted, and reliability-adjusted proportions of patients with sufficient smoking documentation across 31 clinics using logistic regression models and 2-level hierarchical logit models to estimate reliability-adjusted proportions across clinics.

Results

Among 20,632 individuals, 60% had sufficient risk factor documentation to determine screening eligibility. Patient-level factors inversely associated with risk factor documentation included Black race (relative risk [RR], 0.70; 95% CI, 0.60-0.81), non-English preferred language (RR, 0.60; 95% CI, 0.49-0.74), Medicaid insurance (RR, 0.64; 95% CI, 0.57-0.71), and nonactivated patient portal (RR, 0.85; 95% CI, 0.80-0.90). Documentation varied across clinics. The reliability-adjusted intraclass correlation coefficient decreased from 11.0% (95% CI, 6.9%-17.1%) to 5.3% (95% CI, 3.2%-8.6%), adjusting for covariates.

Conclusions

We found a low rate of sufficient lung cancer risk factor documentation and associations of risk factor documentation based on patient-level factors such as race, insurance status, language, and patient portal activation. Risk factor documentation rates varied across clinics, and only approximately half the variation was explained by factors in our analysis.

Development and Evaluation of Brief Web-Based Education for Primary Care Providers to Address Inequities in Lung Cancer Screening and Smoking Cessation Treatment

Annual lung cancer screening (LCS) is recommended for individuals at high risk for lung cancer. However, primary care provider-initiated discussions about LCS and referrals for screening are low overall, particularly among Black or African Americans and other minoritized racial and ethnic groups. Disparities also exist in receiving provider advice to quit smoking. Effective methods are needed to improve provider knowledge about LCS and tobacco-related disparities, and to provide resources to achieve equity in LCS rates. We report the feasibility and impact of pairing a self-directed Lung Cancer Health Disparities (HD) Web-based course with the National Training Network Lung Cancer Screening (LuCa) course on primary care providers' knowledge about LCS and the health disparities associated with LCS. In a quasi-experimental study, primary care providers (N = 91) recruited from the MedStar Health System were assigned to complete the LuCa course only vs. the LuCa + HD courses. We measured pre-post-LCS-related knowledge and opinions about the courses. The majority (60.4%) of providers were resident physicians. There was no significant difference between groups on post-test knowledge (p > 0.05). However, within groups, there was an improvement in knowledge from pre- to post-test (LuCa only (p = 0.03); LuCa + HD (p < 0.001)). The majority of providers (81%) indicated they planned to improve their screening and preventive practices after having reviewed the educational modules. These findings provide preliminary evidence that this e-learning course can be used to educate providers on LCS, smoking cessation, and related disparities impacting patients.

Impact of Federal Lung Cancer Screening Policy on the Incidence of Early-stage Lung Cancer

BACKGROUND

In December 2013 the US Preventative Services Task Force (USPSTF) recommended annual lung cancer screening for high-risk patients. The Centers for Medicare & Medicaid Services (CMS) later announced coverage in 2015. The impact of these federal decisions at the population level is unknown.

METHODS

Using the Surveillance, Epidemiology, and End Results database, we studied changes in lung cancer incidence by stage and linked to US census data to obtain age-adjusted estimates standardized to the US population. Based on age at diagnosis we stratified patients as age-eligible or age-ineligible for screening. We used difference-in-differences regression to determine the effect of screening on lung cancer incidence by stage.

RESULTS

For all age groups the incidence of early-stage lung cancer both before and after the USPSTF guidelines remained relatively stable at 12.8 ± 0.52 and 13.5 ± 0.92 per 100,000 patients, respectively (P = .068). However the difference-in-differences analysis estimated an absolute increase in the age-adjusted incidence by 3.4 per 100,000 persons in the age-eligible group after the announcement of the guidelines (P = .007). The effect was even larger after the CMS decision (4.3/100,000 persons, P < .001). Similarly there was a 14.2 per 100,000 persons absolute reduction in the incidence of advanced-stage lung cancer (P < .001).

CONCLUSIONS

The 2013 USPSTF lung cancer screening guidelines and CMS coverage decisions were associated with an increased incidence of early-stage lung cancer and decreased incidence of advance-staged lung cancer at the population level.

Facilitators and Barriers to Implementation of Lung Cancer Screening: A Framework-Driven Systematic Review

BACKGROUND

The purpose of this study is to undertake a comprehensive systematic review to describe multilevel factors (barriers and facilitators) that may influence the implementation of low-dose chest computed tomography for lung cancer screening in the United States.

METHODS

Systematic literature searches were performed using 6 online databases and citation indexes for peer-reviewed studies, for articles published from 2013 to 2021. Studies were classified into 3 perspectives, based on the study's unit of analysis: system, health-care provider, and patient. Barriers and facilitators identified for each study included in our final review were then coded and categorized using the Consolidate Framework for Implementation Research domains.

RESULTS

At the system level, the 2 most common constructs were external policy and incentives and executing the implementation process. At the provider level, the most common constructs were evidence strength and quality of the intervention characteristics, patient needs and resources, implementation climate, and an individual's knowledge and beliefs about the intervention. At the patient level, the most common constructs were patient needs and resources, individual's knowledge and beliefs about the intervention, and engaging in the implementation process. These constructs can act as facilitators or barriers to lung cancer screening implementation.

CONCLUSIONS

Applying the Consolidate Framework for Implementation Research domains and constructs to understand and specify factors facilitating uptake of lung cancer screening as well as cataloging the lessons learned from previous efforts helps inform the development and implementation processes of lung cancer screening programs in the community setting.

REGISTRATION

PROSPERO, CRD42021247677.

Deep Q-networks with web-based survey data for simulating lung cancer intervention prediction and assessment in the elderly: a quantitative study

BACKGROUND

Lung cancer screening and intervention might be important to help detect lung cancer early and reduce the mortality, but little was known about lung cancer intervention strategy associated with intervention effect for preventing lung cancer. We employed Deep Q-Networks (DQN) to respond to this gap. The aim was to quantitatively predict lung cancer optimal intervention strategy and assess intervention effect in aged 65 years and older (the elderly).

METHODS

We screened lung cancer high risk with web-based survey data and conducted simulative intervention. DQN models were developed to predict optimal intervention strategies to prevent lung cancer in elderly men and elderly women separately. We assessed the intervention effects to evaluate the optimal intervention strategy.

RESULTS

Proposed DQN models quantitatively predicted and assessed lung cancer intervention. DQN models performed well in five stratified groups (elderly men, elderly women, men, women and the whole population). Stopping smoking and extending quitting smoking time were optimal intervention strategies in elderly men. Extending quitting time and reducing smoked cigarettes number were optimal intervention strategies in elderly women. In elderly men and women, the maximal reductions of lung cancer incidence were 31.81% and 24.62% separately. Lung cancer incidence trend was deduced from the year of 1984 to 2050, which predicted that the difference of lung cancer incidence between elderly men and women might be significantly decreased after thirty years quitting time.

CONCLUSIONS

We quantitatively predicted optimal intervention strategy and assessed lung cancer intervention effect in the elderly through DQN models. Those might improve intervention effects and reasonably prevent lung cancer.

A Lung Cancer Screening Education Program Impacts both Referral Rates and Provider and Medical Assistant Knowledge at Two Federally Qualified Health Centers

BACKGROUND

Federally Qualified Health Centers (FQHCs) serve minority and low-socioeconomic populations and provide care to high-risk smokers. These centers frequently experience barriers, including low provider and medical assistant (MA) knowledge around lung cancer screening (LCS). Subsequent low LCS referral rates by providers at FQHCs limit utilization of LCS in eligible, high-risk, underserved patients.

METHODS

Providers and MAs from two FQHCs participated in a LCS educational session. A pre-educational survey was administered at the start of the session and a post-educational survey at the end. The intervention included a presentation with education around non-small cell lung cancer, LCS, tobacco cessation, and shared-decision making. Both surveys were used to evaluate changes in provider and MA ability to determine eligible patients for LCS. The Pearson's Chi-squared test with Yates' continuity correction was used to measure the impact.

RESULTS

A total of 29 providers and 28 MAs enrolled in the study from two FQHCs. There was an improvement, P < .009 and P < .015 respectively, in provider and MA confidence in identifying patients for LCS. Additionally, one year prior to the program, 9 low-dose computed tomography (LDCTs) were ordered at one of the FQHCs and 0 at the other. After the program, over 100 LDCTs were ordered at each FQHC.

CONCLUSIONS

A targeted LCS educational program improves provider and MAs' ability to identify eligible LCS patients and is associated with an increase in the number of patients referred to LDCT at FQHCs.

Improving smoking history documentation in the electronic health record for lung cancer risk assessment and screening in primary care: A case study

Improving risk factor documentation in the electronic health record (EHR) is important in order to determine patient eligibility for lung cancer screening. System-level prioritization combined with a clinic-level initiative can improve risk factor documentation rates. Multi-faceted interventions that include training, process improvement, data management, and continuous performance feedback are effective and can be integrated into existing workflows.