| Literature DB >> 35972738 |
Eduardo R Núñez1,2,3, Tanner J Caverly4,5,6, Sanqian Zhang1,3,7, Mark E Glickman1,3,6, Shirley X Qian1, Jacqueline H Boudreau1,3, Donald R Miller1,3, Christopher G Slatore6,8,9, Renda Soylemez Wiener1,2,3,6.
Abstract
Importance: Lung cancer screening (LCS) is underused in the US, particularly in underserved populations, and little is known about factors associated with declining LCS. Guidelines call for shared decision-making when LCS is offered to ensure informed, patient-centered decisions. Objective: To assess how frequently veterans decline LCS and examine factors associated with declining LCS. Design, Setting, and Participants: This retrospective cohort study included LCS-eligible US veterans who were offered LCS between January 1, 2013, and February 1, 2021, by a physician at 1 of 30 Veterans Health Administration (VHA) facilities that routinely used electronic health record clinical reminders documenting LCS eligibility and veterans' decisions to accept or decline LCS. Data were obtained from the Veterans Affairs (VA) Corporate Data Warehouse or Medicare claims files from the VA Information Resource Center. Main Outcomes and Measures: The main outcome was documentation, in clinical reminders, that veterans declined LCS after a discussion with a physician. Logistic regression analyses with physicians and facilities as random effects were used to assess factors associated with declining LCS compared with agreeing to LCS.Entities:
Mesh:
Year: 2022 PMID: 35972738 PMCID: PMC9382440 DOI: 10.1001/jamanetworkopen.2022.27126
Source DB: PubMed Journal: JAMA Netw Open ISSN: 2574-3805
Figure 1. Study Cohort Derivation of US Veterans Eligible for Lung Cancer Screening (LCS) Who Either Accepted or Declined Screening
VHA indicates Veterans Health Administration.
Characteristics of Veterans Who Accepted or Declined LCS After a Decision-Making Conversation With Their Practitioner
| Characteristic | Veterans (N = 43 257) | |
|---|---|---|
| Accepted LCS (n = 29 411) | Declined LCS (n = 13 846) | |
|
| ||
| Age, mean (SD), y | 64.2 (5.7) | 65.8 (5.9) |
| Sex | ||
| Female | 1268 (4.3) | 493 (3.6) |
| Male | 28 143 (95.7) | 13 353 (96.4) |
| Race and ethnicity | ||
| American Indian or Alaska Native | 240 (0.82) | 106 (0.77) |
| Asian | 54 (0.18) | 33 (0.24) |
| Black | 4037 (13.7) | 1536 (11.1) |
| Hispanic | 92 (0.31) | 22 (0.16) |
| Native Hawaiian or Pacific Islander | 172 (0.58) | 64 (0.46) |
| White | 24 498 (83.3) | 11 928 (86.2) |
| Other | 26 (0.09) | 16 (0.12) |
| Unknown | 292 (0.99) | 141 (1.02) |
| Married | 13 004 (44.2) | 6619 (47.8) |
| Zip code–level income, median (IQR), $ | 48 757 (39 081-61 759) | 49 214 (40 051-61 794) |
| Live in a rural zip code | 10 505 (35.7) | 5522 (39.9) |
| Distance to a VHA facility conducting clinical reminders, median (IQR), mi | 25.6 (10.1-61.7) | 31.0 (13.6-68.9) |
| VHA benefits (priority status) | ||
| High disability with no co-payments | 8881 (30.2) | 3815 (27.6) |
| Low or moderate disability with partial co-payments | 7124 (24.2) | 3261 (23.6) |
| Limited disability with full co-payments | 4483 (15.2) | 2592 (18.7) |
| Poverty with no co-payments | 8923 (30.3) | 4177 (30.2) |
| Comorbid conditions | ||
| Currently smoking | 21 304 (72.4) | 9855 (71.2) |
| History of major adverse cardiac event | 3186 (10.8) | 1475 (10.7) |
| Congestive heart failure | 2067 (7.0) | 1221 (8.8) |
| Stroke | 1186 (4.0) | 685 (4.9) |
| Chronic obstructive pulmonary disease | 8652 (29.4) | 4135 (29.9) |
| Interstitial lung disease | 444 (1.5) | 255 (1.8) |
| HIV infection | 1128 (3.8) | 384 (2.8) |
| Dementia | 775 (2.6) | 388 (2.8) |
| Depression | 7749 (26.3) | 2830 (20.4) |
| Posttraumatic stress disorder | 4684 (15.9) | 1827 (13.2) |
| Substance use disorder | 7382 (25.1) | 2822 (20.4) |
| Schizophrenia | 740 (2.5) | 397 (2.9) |
| Elixhauser Comorbidity Index score, mean (SD) | 4.2 (3.2) | 4.2 (3.3) |
| Health care utilization in the year before index date | ||
| Outpatient visits, median (IQR), No. | 11 (5-22) | 7 (3-16) |
| Emergency department visits, median (IQR), No. | 0 (0-1) | 0 (0-0) |
| Inpatient length of stay, median (IQR), d | 0 (0-0) | 0 (0-0) |
| Long-term care facility length of stay, median (IQR), d | 0 (0-0) | 0 (0-0) |
|
| ||
| US Census region | ||
| Northeast | 7295 (24.8) | 3580 (25.9) |
| Midwest | 7195 (24.5) | 2256 (16.3) |
| South | 11 135 (37.9) | 5421 (39.2) |
| West | 3786 (12.9) | 2589 (18.7) |
| LCS volume | ||
| Low | 2129 (7.2) | 1139 (8.2) |
| Medium | 8984 (30.5) | 5654 (40.7) |
| High | 18 298 (62.2) | 7053 (50.9) |
Abbreviations: LCS, lung cancer screening; VHA, Veterans Health Administration.
Data are presented as the number (percentage) of participants unless otherwise indicated.
Other included individuals who reported “other” race or ethnicity.
Defined as the number of lung cancer screenings performed between 2015 and 2021. Low was defined as less than 1000 screenings, medium as 1000 to 3000 screenings, and high as more than 3000 screenings.
Figure 2. Patient-Level Factors Associated With Declining Lung Cancer Screening (LCS) in Multivariable Analysis
Covariables included in the model that are not reported are body mass index, facility-level US Census region (East, South, Midwest, or West), and facility-level LCS volume (number of screenings between 2015 and 2021). Full model outputs are provided in eTable 2 in the Supplement. Squares represent odds ratios, with horizontal lines representing 95% CIs. VHA indicates Veterans Health Administration.
aOther race or ethnicity included American Indian or Alaska Native, Asian, Native Hawaiian or Pacific Islander, other, or unknown.
bMedian income was estimated from the veteran’s residential zip code.
Figure 3. Facility-Level Variation in the Risk-Adjusted Probability of a Veteran Declining Lung Cancer Screening (LCS)
Facilities (N = 30) are ranked by the risk-adjusted probability that patients would decline LCS. Whiskers represent 95% CIs.