Key PointsQuestion
Is the updated US Preventive Services Task Force (USPSTF) recommendations for lung cancer screening associated with a clinically meaningful change in the distribution of the characteristics of individuals who are eligible for screening?
Findings
In this cohort study using data derived from 5 health care systems, the updated 2021 USPSTF recommendations were associated with an increased overall proportion of women, racial and ethnic minority groups, and individuals with lower socioeconomic status who are eligible for lung cancer screening.
Meaning
The 2021 USPSTF recommendations for lung cancer screening eligibility are expected to enhance opportunities for community-based programs to reduce barriers to lung cancer screening access for individuals who are at highest risk for lung cancer.
Importance
The US Preventive Services Task Force (USPSTF) released updated lung cancer screening recommendations in 2021, lowering the screening age from 55 to 50 years and smoking history from 30 to 20 pack-years. These changes are expected to expand screening access to women and racial and ethnic minority groups.
Objective
To estimate the population-level changes associated with the 2021 USPSTF expansion of lung cancer screening eligibility by sex, race and ethnicity, sociodemographic factors, and comorbidities in 5 community-based health care systems.
Design, Setting, and Participants
This cohort study analyzed data of patients who received care from any of 5 community-based health care systems (which are members of the Population-based Research to Optimize the Screening Process Lung Consortium, a collaboration that conducts research to better understand how to improve the cancer screening processes in community health care settings) from January 1, 2010, through September 30, 2019. Individuals who had complete smoking history and were engaged with the health care system for 12 or more continuous months were included. Those who had never smoked or who had unknown smoking history were excluded.
Exposures
Electronic health record–derived age, sex, race and ethnicity, socioeconomic status (SES), comorbidities, and smoking history.
Main Outcomes and Measures
Differences in the proportion of the newly eligible population by age, sex, race and ethnicity, Charlson Comorbidity Index, chronic obstructive pulmonary disease diagnosis, and SES as well as lung cancer diagnoses under the 2013 recommendations vs the expected cases under the 2021 recommendations were evaluated using χ2 tests.
Results
As of September 2019, there were 341 163 individuals aged 50 to 80 years who currently or previously smoked. Among these, 34 528 had electronic health record data that captured pack-year and quit-date information and were eligible for lung cancer screening according to the 2013 USPSTF recommendations. The 2021 USPSTF recommendations expanded screening eligibility to 18 533 individuals, representing a 53.7% increase. Compared with the 2013 cohort, the newly eligible 2021 population included 5833 individuals (31.5%) aged 50 to 54 years, a larger proportion of women (52.0% [n = 9631]), and more racial or ethnic minority groups. The relative increases in the proportion of newly eligible individuals were 60.6% for Asian, Native Hawaiian, or Pacific Islander; 67.4% for Hispanic; 69.7% for non-Hispanic Black; and 49.0% for non-Hispanic White groups. The relative increase for women was 13.8% higher than for men (61.2% vs 47.4%), and those with a lower comorbidity burden and lower SES had higher relative increases (eg, 68.7% for a Charlson Comorbidity Index score of 0; 61.1% for lowest SES). The 2021 recommendations were associated with an estimated 30% increase in incident lung cancer diagnoses compared with the 2013 recommendations.
Conclusions and Relevance
This cohort study suggests that, in diverse health care systems, adopting the 2021 USPSTF recommendations will increase the number of women, racial and ethnic minority groups, and individuals with lower SES who are eligible for lung cancer screening, thus helping to minimize the barriers to screening access for individuals with high risk for lung cancer.
On March 9, 2021, the US Preventive Services Task Force (USPSTF) released guidelines that updated its 2013 recommendations for annual lung cancer screening with low-dose computed tomography and lowered the screening starting age from 55 to 50 years and minimum smoking history from 30 to 20 pack-years. The 2013 USPSTF recommendations were informed by criteria used in the National Lung Screening Trial (NLST), which reported that screening with low-dose computed tomography reduced lung cancer mortality by 20% in trial participants who were at an increased risk for lung cancer.1 In response to the NLST findings and 2013 USPSTF recommendations, community health systems across the United States began implementing lung cancer screening programs. Estimates of the uptake of lung cancer screening, however, remain low, and early experience suggests that the outcomes associated with lung cancer screening in community settings may differ from those experienced by NLST participants in part because of differences in the characteristics of the individuals who receive care in community health care systems.2-6
Previous research also suggested that when the 2013 USPSTF recommendations were applied in community health care settings, they may have exacerbated existing disparities in lung cancer diagnosis and outcomes, particularly among women, racial and ethnic minority groups, and those in the lowest socioeconomic status (SES) categories.7-10 Analyses conducted by the Cancer Intervention and Surveillance Modeling Network (CISNET) Lung Cancer Working Group estimated that the 2021 USPSTF recommendations could increase the screening-eligible population by 87% as well as the relative proportion of women by 96%, non-Hispanic Black individuals by 106%, Hispanic individuals by 112%, and Asian individuals by 61%.11 Moreover, CISNET estimated that the number of screening-detected lung cancers could increase by 21%.11
The CISNET models and the systematic evidence review that informed the 2021 USPSTF recommendations were both based largely on clinical trial findings.11,12 However, it is unknown how these changes in recommendations will affect community-based screening programs that serve diverse populations in heterogeneous settings. The estimated population impact of the 2021 USPSTF recommendations that was calculated by CISNET was also based on survey data, which were limited by potential sampling bias and misclassification of diagnostic vs screening scans.13,14 In this cohort study, we estimated the population-level changes associated with the 2021 USPSTF expansion of lung cancer screening eligibility by age, sex, race and ethnicity, sociodemographic factors, and comorbidities within 5 community-based health care systems. In addition, we compared the proportion of individuals with an incident lung cancer diagnosis under the 2013 USPSTF recommendations with the estimated number of incident cases under the 2021 USPSTF criteria.
Study Population and Setting
This cohort study was conducted within the Population-based Research to Optimize the Screening Process (PROSPR) Lung Consortium, a collaboration of 5 diverse health care systems in the US (Henry Ford Health System, Detroit, Michigan; Kaiser Permanente Colorado, Aurora, Colorado; Kaiser Permanente Hawaii, Oahu, Hawaii; Marshfield Clinic Health System, Marshfield, Wisconsin; and the University of Pennsylvania Health System, Philadelphia, Pennsylvania) that conducts research to better understand how to improve the cancer screening processes in community health care settings.4,15 The PROSPR Lung Consortium developed a retrospective cohort of patients aged 35 to 89 years who engaged with any of these 5 health care systems from January 1, 2010, through September 30, 2019. This study followed Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline and was approved by the Kaiser Permanente Colorado Institutional Review Board, which waived the informed consent requirement because this observational study presented minimal risks to the participants whose data were analyzed.
Data Sources and Cohort Identification
The PROSPR Lung Consortium common data model includes harmonized data on patient sex, race and ethnicity, smoking history, procedures, diagnoses, cancer registry, and Census tract-based measures of SES that were derived from each health care system’s administrative, electronic health record (EHR), and claims systems. To address variations of the changes associated with the 2021 USPSTF recommendations in the PROSPR Lung Consortium population compared with the CISNET estimates, we obtained self-reported measures of race and ethnicity from the individual patient's EHR. As shown in the Figure, we initially identified 2 overlapping cohorts of patients within the common data model who had complete smoking history and were engaged with the health care system for 12 or more continuous months as of September 30, 2019; we excluded those who had never smoked or who had unknown smoking history.
Specifically, the eligible cohort under the 2013 USPSTF recommendations included individuals aged 55 to 80 years who had at least a 30 pack-year smoking history and currently smoked or quit within the past 15 years, whereas the 2021 USPSTF recommendations’ eligible cohort included those aged 50 to 80 years who had at least a 20 pack-year smoking history and currently smoked or quit within the past 15 years. The 2021 eligible population also included individuals who were newly eligible under the expanded recommendations (eg, those aged 50-55 years and with a 20-29 pack-year smoking history). The 2021 newly eligible cohort represents the nonoverlapping comparator group compared with the 2013 USPSTF recommendations cohort.
Sensitivity analyses included individuals with incomplete smoking history (eg, only age-eligible current and previous smokers). To examine the potential increase in lung cancer identification by screening, we used site-level cancer registry data to identify patients aged 50 to 80 years with an incident lung cancer diagnosis between January 1, 2014, and September 30, 2019.
We described the distributions of age, sex, tobacco use, race and ethnicity, Charlson Comorbidity Index,16 chronic obstructive pulmonary disease diagnosis, SES (measured by the Yost Index17,18), and previous cancer for the 2013 and 2021 USPSTF recommendations’ eligible cohorts and for the nonoverlapping comparator group that would be newly eligible under the 2021 criteria. We described the relative changes in these variables in both the newly eligible population and the overall 2021 eligible cohort. Differences in the distribution of variables between the 2013 and newly eligible 2021 cohorts were evaluated with 2-sided χ2 tests. A 2-sided P < .05 was considered statistically significant. Analyses were performed with SAS statistical software, version 9.4 (SAS Institute Inc).
On September 30, 2019, we identified 1 428 423 individuals aged 35 to 89 years who received care within the 5 health care systems in the PROSPR Lung Consortium (Figure). Limiting the population to individuals who had 12 or more months of continuous enrollment or engagement, were between 50 and 80 years of age, and currently or previously smoked tobacco resulted in a population of 341 163 (eTable in the Supplement). Further limiting this population to those aged 55 to 80 years and applying the tobacco history exclusions yielded a final eligible cohort under the 2013 USPSTF recommendations of 34 528 individuals. The 2021 USPSTF recommendations added 18 533 individuals who were eligible for lung cancer screening for a total of 53 061 individuals, which was a relative increase of 53.7% compared with the 2013 USPSTF recommendations (Figure).
Table 1 describes the individual-level characteristics of the eligible cohorts for the 2013 and 2021 USPSTF recommendations as well as the newly eligible cohort under the 2021 USPSTF recommendations (nonoverlapping population). The 2021 newly eligible population included 5833 individuals (31.5%) aged 50 to 54 years, a larger proportion of women than men (52.0% [n = 9631] vs 48.0% [n = 8901]), and more racial or ethnic minority groups than the 2013 cohort. The relative increase for women was 13.8% higher than for men (61.2% vs 47.4%). The relative increase by race and ethnicity in the screening eligibility was 20.7% for non-Hispanic Black individuals compared with non-Hispanic White individuals (69.7% vs 49.0%). Similarly, the relative eligibility increase for Hispanic individuals was 18.4% (67.4% vs 49.0%) and for Asian, Hawaiian, or Pacific Islander individuals was 11.6% (60.6% vs 49.0%) compared with non-Hispanic White individuals.
The 2021 newly eligible population had less comorbid illness, with the greatest relative increase of 68.7% in individuals with a Charlson Comorbidity Index score of 0. Similarly, the proportion of individuals with a diagnosis of chronic obstructive pulmonary disease in the newly eligible cohort was 12.1%, resulting in a decrease in the overall prevalence of chronic obstructive pulmonary disease from 22.4% (n = 7720) in the 2013 eligible cohort to 18.8% (n = 9958) in the 2021 cohort. In addition, the 2021 USPSTF recommendations were associated with a greater increase in newly eligible individuals in the lowest SES category. Specifically, 3804 newly eligible individuals (20.5%) were identified in Yost Index quintile 1 (lowest SES) compared with 3214 individuals (17.3%) within quintile 5 (highest SES), resulting in a relative increase of 61.1% for quintile 1 and 49.6% for quintile 5 (Table 1).
The sensitivity analysis that included all age-eligible individuals who currently or previously smoked also demonstrated significant and consistent changes in the distribution of the expanded eligibility for lung cancer screening by sex, race and ethnicity, and comorbidity status from those in the 2013 USPSTF recommendations cohort, but the differences were less pronounced (eTable in the Supplement). For example, the relative increase by race and ethnicity in the screening eligibility was 2.1% for non-Hispanic Black individuals compared with non-Hispanic White individuals (17.1% vs 16.9%).
Table 2 describes the characteristics of patients who were diagnosed with an incident lung cancer between January 1, 2014, and September 30, 2019, met the 2013 USPSTF recommendations, and theoretically would be newly eligible under the 2021 criteria, and the overall cohort who met the 2021 USPSTF criteria. Under the 2021 USPSTF recommendations for expanded eligibility, the identification of incident lung cancers increased by 30.0% (n = 379) compared with the 2013 USPSTF recommendations (n = 1265). The increase in lung cancer identification was most pronounced among women, racial and ethnic minority groups, and those with lower SES. For example, the largest relative increase (47.0%) by race and ethnicity was observed in non-Hispanic Black individuals, whereas the smallest increase (26.2%) occurred among non-Hispanic White individuals.
To our knowledge, this study is the first in the community-based health care setting to examine both population and cancer identification changes associated with the 2021 USPSTF expansion of the lung cancer screening eligibility criteria. Consistent with the CISNET simulation and other studies,8,9,11,19 we estimated whether the increase in lung cancer screening eligibility under the 2021 USPSTF recommendations was larger for women than men; individuals in lower SES categories; and individuals who self-identified as having Asian, Native Hawaiian, or Pacific Islander, Hispanic, or non-Hispanic Black rather than non-Hispanic White race or ethnicity. We identified similar increases by sex, race and ethnicity, and SES in the proportion of patients with lung cancer who were eligible for screening under the 2021 USPSTF recommendations. Although estimates from the 2015 nationally representative survey data suggested that the 87% increase in eligibility was attributable to the 2021 recommendations,11 our estimates, which used EHR-derived demographic and clinical measures for patients in the PROSPR Lung Consortium cohort, suggested an overall eligibility increase of 53.7%. However, the methods and data sources used in the present evaluation of the 2021 USPSTF recommendations expansion differed substantially from those used by CISNET and other survey-based studies.
The findings of this study, in conjunction with those of CISNET, also indicated that health care systems should plan to increase lung cancer screening capacity by about 50% to 60% to accommodate the eligible cohort of the expanded 2021 recommendations. Considerations for adding lung cancer screening capacity should include screening coordinators to provide shared decision-making and manage future screening and evaluation, access to computed tomography scans and trained radiologists, and constraints related to access to thoracic surgeons for lung cancer resection surgery.20 Improvements in uptake and adherence to annual screening also play a role in increasing this capacity. Screening programs will need to closely monitor capacity strain and allocate resources appropriately to meet evolving demands as the 2021 USPSTF recommendations are adopted in clinical practice.
Findings of the present study suggest that expanding the USPSTF recommendations for lung cancer screening eligibility is an important step toward minimizing disparities in lung cancer screening, but health care systems will still need to invest substantial resources to tailor outreach strategies and reduce barriers to lung cancer screening uptake for those with lower SES and for racial and ethnic minority groups. Ultimately, the value of the expanded guidelines will be realized only if lung cancer screening rates are increased in high-risk and traditionally underserved populations, particularly among non-Hispanic Black individuals, who have some of the highest rates of lung cancer mortality in the US.
This study has several limitations. First, the PROSPR Lung Consortium cohort included a high proportion of current or former smokers whose EHR data did not capture pack-years and cessation date. This missing information reflects real-world health care system data capture on these components of lung cancer screening eligibility and highlights the need for clinician and system incentives to improve information capture to ascertain eligibility.21 This issue may be particularly relevant for underserved populations, those with lower health care use, and former smokers for whom the identification of smoking history is key to establishing eligibility.
Second, we used the Yost index, a well-validated, composite Census tract proxy for SES rather than self-reported measures of income, wealth, or other key social determinants of health to identify the potential economic, financial, or resource-based disparities associated with the 2021 USPSTF recommendations.
Third, we did not address the potential benefits and harms of the expanded eligibility for lung cancer screening within and across the PROSPR Lung Consortium. Specifically, we did not examine the potential changes per-screen rate of false-positives that were associated with the 2021 USPSTF recommendations. Currently, no US data are available on false-positive rates in the expanded patient population (aged 50-54 years or with less tobacco history), making it difficult to estimate the false-positives with any certainty. The CISNET modeling estimate for per-screen rate of false-positives for the 2021 USPSTF recommendations was 11.86%,11 which was consistent with the 2013 USPSTF recommendations’ eligibility estimates of 12.8% from the NLST22 and 10.4% from an analyses of a diverse, urban, underserved, community-based lung cancer screening program.23 Despite these limitations, the dynamic and frequently updated data infrastructure of the PROSPR Lung Consortium, which is based on individuals who receive health care services in community settings, provided insight into how the 2021 USPSTF recommendations may help reduce the disparities among individuals who are eligible for lung cancer screening in the United States.
This cohort study showed that the 2021 USPSTF recommendations were associated with increased lung cancer screening eligibility of women, racial and ethnic minority individuals, and those with lower SES who were eligible for such a screening. This updated eligibility criteria may help reduce barriers to screening access for individuals at highest risk for lung cancer.
Accepted for Publication: August 4, 2021.
Published: October 12, 2021. doi:10.1001/jamanetworkopen.2021.28176
Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2021 Ritzwoller DP et al. JAMA Network Open.
Corresponding Author: Debra P. Ritzwoller, PhD, Institute for Health Research, Kaiser Permanente Colorado, 2550 S Parker Rd, Ste 200, Aurora, CO 80014 (Debra.Ritzwoller@kp.org).
Author Contributions: Drs Ritzwoller and Vachani had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
Concept and design: Ritzwoller, Meza, Carroll, Blum-Barnett, Burnett-Hartman, Honda, Neslund-Dudas, Rendle, Vachani.
Acquisition, analysis, or interpretation of data: Ritzwoller, Meza, Carroll, Burnett-Hartman, Greenlee, Honda, Neslund-Dudas, Rendle, Vachani.
Drafting of the manuscript: Ritzwoller, Carroll, Rendle, Vachani.
Critical revision of the manuscript for important intellectual content: All authors.
Statistical analysis: Ritzwoller, Carroll, Burnett-Hartman.
Obtained funding: Ritzwoller, Greenlee, Honda, Rendle.
Administrative, technical, or material support: Ritzwoller, Blum-Barnett, Burnett-Hartman, Honda, Neslund-Dudas, Rendle.
Supervision: Ritzwoller, Honda, Neslund-Dudas, Vachani.
Conflict of Interest Disclosures: Dr Meza reported receiving grants from the National Cancer Institute (NCI) of the National Institutes of Health (NIH) during the conduct of the study. Dr Burnett-Hartman reported receiving grants from NIH during the conduct of the study. Dr Greenlee reported receiving grants from the NCI via Kaiser Permanente Colorado during the conduct of the study. Dr Honda reported receiving grants from the NCI outside the submitted work. Dr Neslund-Dudas reported receiving grants from the NCI through a subcontract with Kaiser Permanente Colorado during the conduct of the study, grants from the Patient-Centered Outcomes Research Institute through a subcontract with the University of Pennsylvania, grants from the Moore Foundation through a subcontract with the University of Pennsylvania, grants from the NCI Connect Study, grants from the Michigan Department of Health and Human Services, and grants from Genentech Disparities in Telemedicine outside the submitted work. Dr Rendle reported receiving grants from the Lung Cancer Research Foundation of Pfizer outside the submitted work. Dr Vachani reported receiving grants from MagArray Inc, Precyte Inc, Broncus Medical, and Moore Foundation and personal fees from Johnson & Johnson outside the submitted work. No other disclosures were reported.
Funding/Support: This study was supported by grant UM1CA221939 from the NCI/NIH (multiple principal investigators: Drs Ritzwoller and Vachani).
Role of the Funder/Sponsor: The funder had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
Disclaimer: The views expressed herein are those of the authors and do not reflect the official policy or position of the NIH.
Additional Contributions: We acknowledge the research team members at the Institute for Health Research, Kaiser Permanente Colorado: Brian P. Hixon, MPH, for assisting with data preparation; J. David Powers, MS, for assisting with data preparation and analyses; Julie S. Steiner, MA, for providing project management; and Michelle Oldelberg, MPH, for assisting with manuscript editing. These individuals received no additional compensation, outside of their usual salary, for their contributions.
1.Aberle
DR, Adams
AM, Berg
CD,
et al; National Lung Screening Trial Research Team. Reduced lung-cancer mortality with low-dose computed tomographic screening.
N Engl J Med. 2011;365(5):395-409. doi:
10.1056/NEJMoa1102873
PubMedGoogle Scholar 2.Carroll
NM, Burnett-Hartman
AN, Joyce
CA,
et al. Real-world clinical implementation of lung cancer screening-evaluating processes to improve screening guidelines-concordance.
J Gen Intern Med. 2020;35(4):1143-1152. doi:
10.1007/s11606-019-05539-w
PubMedGoogle ScholarCrossref 8.Pasquinelli
MM, Tammemägi
MC, Kovitz
KL,
et al. Risk prediction model versus United States Preventive Services Task Force lung cancer screening eligibility criteria: reducing race disparities.
J Thorac Oncol. 2020;15(11):1738-1747. doi:
10.1016/j.jtho.2020.08.006
PubMedGoogle ScholarCrossref 11.Meza
R, Jeon
J, Toumazis
I,
et al. Evaluation of the benefits and harms of lung cancer screening with low-dose computed tomography: modeling study for the US Preventive Services Task Force.
JAMA. 2021;325(10):988-997. doi:
10.1001/jama.2021.1077
PubMedGoogle ScholarCrossref 12.Jonas
DE, Reuland
DS, Reddy
SM,
et al. Screening for lung cancer with low-dose computed tomography: updated evidence report and systematic review for the US Preventive Services Task Force.
JAMA. 2021;325(10):971-987. doi:
10.1001/jama.2021.0377
PubMedGoogle ScholarCrossref 17.Yu
M, Tatalovich
Z, Gibson
JT, Cronin
KA. Using a composite index of socioeconomic status to investigate health disparities while protecting the confidentiality of cancer registry data.
Cancer Causes Control. 2014;25(1):81-92. doi:
10.1007/s10552-013-0310-1
PubMedGoogle ScholarCrossref 20.Blom
EF, Ten Haaf
K, Arenberg
DA, de Koning
HJ. Treatment capacity required for full-scale implementation of lung cancer screening in the United States.
Cancer. 2019;125(12):2039-2048. doi:
10.1002/cncr.32026
PubMedGoogle ScholarCrossref 21.Modin
HE, Fathi
JT, Gilbert
CR,
et al. Pack-year cigarette smoking history for determination of lung cancer screening eligibility: comparison of the electronic medical record versus a shared decision-making conversation.
Ann Am Thorac Soc. 2017;14(8):1320-1325. doi:
10.1513/AnnalsATS.201612-984OC
PubMedGoogle ScholarCrossref