Using a Patient Decision Aid Video to Assess Current and Former Smokers' Values About the Harms and Benefits of Lung Cancer Screening With Low-Dose Computed Tomography

Aubri S Hoffman, Andrea P Hempstead, Ashley J Housten, Vincent F Richards, Lisa M Lowenstein, Viola B Leal, Robert J Volk, Aubri S Hoffman, Andrea P Hempstead, Ashley J Housten, Vincent F Richards, Lisa M Lowenstein, Viola B Leal, Robert J Volk

Abstract

Background. Recent policy changes require discussing the potential benefits and harms of lung cancer screening with low-dose computed tomography. This study explored how current and former smokers value potential benefits and harms after watching a patient decision aid, and their screening intentions. Methods. Current or former smokers (quit within 15 years) with no history of lung cancer watched the decision aid and responded to items assessing the value of potential benefits and harms in their decision making, and their screening intentions. Results. After viewing the decision aid, participants (n = 30; mean age 61.5 years, mean 30.4 pack-year history) were well-informed (mean 80.5% correct responses) and rated anticipated regret and finding cancer early as highly important in their decision (medians >9 out of 10), along with moderate but variable concerns about false positives, overdiagnosis, and radiation exposure (medians 7.0, 6.0, and 5.0, respectively). Most participants (90.0% to 96.7%) felt clear about how they personally valued the potential benefits and harms and prepared for decision making (mean 86.7 out of 100, SD = 21.3). After viewing the decision aid, most participants (90%) intended to discuss screening with their doctor. Limitations. The study is limited to current and former smokers enrolled in a tobacco treatment program, and it may not generalize to other patient populations. Conclusions. The majority of current and former smokers were strongly concerned about anticipated regret and finding cancer early, while concerns about radiation exposure, false positives, and overdiagnosis were variable. After viewing the decision aid, current and former smokers reported strong preparedness and intentions to talk with their doctor about lung cancer screening with low-dose computed tomography.

Keywords: decision making; decision support; lung neoplasms; smokers; tomography x-ray computed.

Conflict of interest statement

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Figures

Figure 1
Figure 1
Selected screen shots from the patient decision aid video. (A) mortality benefit from annual screening with low-dose computed tomography, (B) pack-year calculation, (C) radiation exposure contextualized, (D) comparing benefits and harms of lung cancer screening with low-dose computed tomography.
Figure 2
Figure 2
Current and former smokers’ ratings of the value (i.e., importance) of potential risks of lung cancer screening with low-dose computed tomography; medians, interquartile ranges, and outliers. The box represents the interquartile range (IQR), with the center line in the box representing the median value; whiskers representing the data points within 1.5 IQR on the upper and lower ends; and solid dots representing outliers that are values outside 1.5 IQR. For Find Early, responses are clustered at 10, represented by the bolded bar.

References

    1. American Cancer Society. Cancer facts & figures 2016 [cited March 21, 2017]. Available from:
    1. Patz EF, Jr, Greco E, Gatsonis C, Pinsky P, Kramer BS, Aberle DR. Lung cancer incidence and mortality in National Lung Screening Trial participants who underwent low-dose CT prevalence screening: a retrospective cohort analysis of a randomised, multicentre, diagnostic screening trial. Lancet Oncol. 2016;17(5):590–9. doi:10.1016/s1470-2045(15)00621-x.
    1. Centers for Medicare and Medicaid Services. Decision Memo for Screening for Lung Cancer With Low Dose Computed Tomography (LDCT) (CAG-00439N). Baltimore, MD: Centers for Medicare and Medicaid Services; 2015.
    1. Aberle DR, Adams AM, Berg CD, et al. Reduced lung-cancer mortality with low-dose computed tomographic screening. N Engl J Med. 2011;365(5):395–409. doi:10.1056/NEJMoa1102873.
    1. Moyer VA. Screening for lung cancer: US preventive Services Task Force recommendation statement. Ann Intern Med. 2014;160(5):330–8. doi:10.7326/m13-2771.
    1. Humphrey LL, Deffebach M, Pappas M, et al. Screening for lung cancer with low-dose computed tomography: a systematic review to update the US Preventive Services Task Force recommendation. Ann Intern Med. 2013;159(6):411–20. doi:10.7326/0003-4819-159-6-201309170- 00690.
    1. Welch HG, Black WC. Overdiagnosis in cancer. J Natl Cancer Inst. 2010;102(9):605–13. doi:10.1093/jnci/djq099.
    1. Wender R, Fontham ET, Barrera E, Jr, et al. American Cancer Society lung cancer screening guidelines. CA Cancer J Clin. 2013;63(2):107–17. doi:10.3322/caac.21172.
    1. Mazzone P, Powell CA, Arenberg D, et al. Components necessary for high-quality lung cancer screening: American College of Chest Physicians and American Thoracic Society policy statement. Chest. 2015;147(2):295–303. doi:10.1378/chest.14-2500.
    1. Jaklitsch MT, Jacobson FL, Austin JH, et al. The American Association for Thoracic Surgery guidelines for lung cancer screening using low-dose computed tomography scans for lung cancer survivors and other high-risk groups. J Thorac Cardiovasc Surg. 2012;144(1):33–8. doi:10.1016/j .jtcvs.2012.05.060.
    1. Hoffman AS. Teaching diverse orthopaedic patient populations about deliberative decision making skills: testing a design strategy for online patients’ decision aids (PhD thesis). Dartmouth College, Hanover, NH; 2011.
    1. Hoffman AS, Llewellyn-Thomas HA, Tosteson AN, et al. Launching a virtual decision lab: development and field-testing of a web-based patient decision support research platform. BMC Med Inform Decis Mak. 2014;14:112. doi:10.1186/s12911-014-0112-8.
    1. Stacey D, Legare F, Col NF, et al. Decision aids for people facing health treatment or screening decisions. Cochrane Database Syst Rev. 2014;(1):CD001431. doi:10.1002/ 14651858.CD001431.pub4.
    1. Volk RJ, Llewellyn-Thomas H, Stacey D, Elwyn G. Ten years of the International Patient Decision Aid Standards Collaboration: evolution of the core dimensions for assessing the quality of patient decision aids. BMC Med Inform Decis Mak. 2013;13(Suppl. 2):S1. doi:10.1186/1472-6947- 13-s2-s1.
    1. Stacey D, Kryworuchko J, Belkora J, et al. Coaching and guidance with patient decision aids: a review of theoretical and empirical evidence. BMC Med Inform Decis Mak. 2013;13(Suppl. 2):S11. doi:10.1186/1472-6947-13-s2-s11.
    1. Stacey D, Legare F, Lewis K, et al. Decision aids for people facing health treatment or screening decisions. Cochrane Database Syst Rev. 2017;(4):CD001431. doi:10.1002/14651858.CD001431.pub5.
    1. Housten AJ, Lowenstein LM, Leal VB, Volk RJ. Responsiveness of a brief measure of lung cancer screening knowledge. J Cancer Educ. Epub Dec 2016. doi:10.1007/s13187-016-1153-8.
    1. Lowenstein LM, Richards VF, Leal VB, et al. A brief measure of smokers’ knowledge of lung cancer screening with low-dose computed tomography. Prev Med Rep. 2016;4:351–6. doi:10.1016/j.pmedr.2016.07.008.
    1. Volk RJ, Linder SK, Leal VB, et al. Feasibility of a patient decision aid about lung cancer screening with low-dose computed tomography. Prev Med. 2014;62:60–3. doi:10.1016/j.ypmed.2014.02.006.
    1. Llewellyn-Thomas HA. Patients’ health-care decision making: a framework for descriptive and experimental investigations. Med Decis Making. 1995;15(2):101–6.
    1. O’Connor AM, Tugwell P, Wells GA, et al. A decision aid for women considering hormone therapy after menopause: decision support framework and evaluation. Patient Educ Couns. 1998;33(3):267–79.
    1. Elwyn G, O’Connor A, Stacey D, et al. Developing a quality criteria framework for patient decision aids: online international Delphi consensus process. BMJ. 2006;333(7565):417. doi:10.1136/.
    1. O’Connor AM. User Manual: Values Scale. Ottawa, Canada: Ottawa Health Research Institute, 2004.
    1. O’Connor A. Users Manual: Decisional Conflict Scale. Ottawa, Canada: Ottawa Health Research Institute, 1993. [revised 2010].
    1. O’Connor AM. Validation of a decisional conflict scale. Med Decis Making. 1995;15(1):25–30.
    1. Graham IOCA. User Manual: Preparation for Decision Making Scale. Ottawa, Canada: Ottawa Health Research Institute, 1995. [revised 2010].
    1. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research Electronic Data Capture (REDCap): a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377–81. doi:10.1016/j.jbi .2008.08.010.
    1. Gressard L, DeGroff AS, Richards TB, et al. A qualitative analysis of smokers’ perceptions about lung cancer screening. BMC Public Health. 2017;17(1):589. doi:10.1186/ s12889-017-4496-0.
    1. Mishra SI, Sussman AL, Murrietta AM. Patient perspectives on low-dose computed tomography for lung cancer screening, New Mexico, 2014. Prev Chronic Dis. 2016;13:E108.
    1. Zeliadt SB, Heffner JL, Sayre G, et al. Attitudes and perceptions about smoking cessation in the context of lung cancer screening. JAMA Intern Med. 2015;175(9):1530–7. doi:10.1001/jamainternmed.2015.3558.
    1. Poghosyan H,Kennedy Sheldon L Cooley ME.. The impact of computed tomography screening for lung cancer on smoking behaviors: a teachable moment? Cancer Nurs. 2012;35(6):446–75. doi:10.1097/NCC.0b013e3182406297.
    1. Lau YK, Caverly TJ, Cao P, et al. Evaluation of a personalized, web-based decision aid for lung cancer screening. Am J Prev Med. 2015;49(6):e125–9. doi:10.1016/j.amepre .2015.07.027.
    1. Lillie SE, Fu SS, Fabbrini AE, et al. What factors do patients consider most important in making lung cancer screening decisions? Findings from a demonstration project conducted in the Veterans Health Administration. Lung Cancer. 2017;104:38–44. doi:10.1016/j.lungcan.2016.11.021.
    1. Volk RJ, Linder SK, Lopez-Olivo MA, et al. Patient decision aids for colorectal cancer screening: a systematic review and meta-analysis. Am J Prev Med. 2016;51(5):779–91. doi:10.1016/j.amepre.2016.06.022.
    1. Trikalinos TA, Wieland LS, Adam GP, Zgodic A, Ntzani E. Decision Aids for Cancer Screening and Treatment. Rockville (MD): Agency for Healthcare Research and Quality; 2014 2014.
    1. Fishbein M, Hennessy M, Yzer M, Douglas J. Can we explain why some people do and some people do not act on their intentions? Psychol Health Med. 2003;8(1):3–18. doi:10.1080/1354850021000059223.
    1. Frosch DL, Legare F, Fishbein M, Elwyn G. Adjuncts or adversaries to shared decision-making? Applying the Integrative Model of behavior to the role and design of decision support interventions in healthcare interactions. Implement Sci. 2009;4:73. doi:10.1186/1748-5908-4-73.
    1. Hoffman AS, Lowenstein LM, Kamath GR, et al. An entertainment-education colorectal cancer screening decision aid for African American patients: a randomized controlled trial. Cancer. 2017;123(8):1401–8. doi:10.1002/cncr .30489.
    1. Brewer NT, DeFrank JT, Gilkey MB. Anticipated regret and health behavior: a meta-analysis. Health Psychol. 2016;35(11):1264–75. doi:10.1037/hea0000294.
    1. Schapira MM, Aggarwal C, Akers S, et al. How patients view lung cancer screening. The role of uncertainty in medical decision making. Ann Am Thorac Soc. 2016;13(11):1969–76. doi:10.1513/AnnalsATS.201604-290OC.

Source: PubMed

3
Abonneren