IDEAS home Printed from https://ideas.repec.org/a/sae/medema/v41y2021i3p317-328.html
   My bibliography  Save this article

When Is a Harm a Harm? Discordance between Patient and Medical Experts’ Evaluation of Lung Cancer Screening Attributes

Author

Listed:
  • Marilyn M. Schapira

    (The Center for Health Equity Research and Promotion (CHERP) at the Michael J. Crescenz Veterans Affairs (VA) Medical Center, Philadelphia, PA, USA
    Division of General Internal Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA)

  • Keri L. Rodriguez

    (CHERP, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA
    Department of Medicine, Division of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA)

  • Sumedha Chhatre

    (The Center for Health Equity Research and Promotion (CHERP) at the Michael J. Crescenz Veterans Affairs (VA) Medical Center, Philadelphia, PA, USA
    The Department of Psychiatry, the University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA)

  • Liana Fraenkel

    (VA Connecticut Healthcare System, West Haven, CT, USA
    Yale University School of Medicine, New Haven, CT, USA)

  • Lori A. Bastian

    (VA Connecticut Healthcare System, West Haven, CT, USA
    Yale University School of Medicine, New Haven, CT, USA)

  • Jeffrey D. Kravetz

    (VA Connecticut Healthcare System, West Haven, CT, USA
    Yale University School of Medicine, New Haven, CT, USA)

  • Onur Asan

    (The Stevens Institute of Technology, School of Systems and Enterprises, Hoboken, NJ, USA)

  • Scott Akers

    (Department of Radiology, The Michael J. Crescenz VA Medical Center and University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA)

  • Anil Vachani

    (The Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
    Division of Pulmonary, Allergy, and Critical Care, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA)

  • Jason M. Prigge

    (The Center for Health Equity Research and Promotion (CHERP) at the Michael J. Crescenz Veterans Affairs (VA) Medical Center, Philadelphia, PA, USA)

  • Jessica Meline

    (The Center for Health Equity Research and Promotion (CHERP) at the Michael J. Crescenz Veterans Affairs (VA) Medical Center, Philadelphia, PA, USA)

  • Jennifer V. Ibarra

    (VA Connecticut Healthcare System, West Haven, CT, USA)

  • Barbara Corn

    (VA Connecticut Healthcare System, West Haven, CT, USA)

  • Dana Kaminstein

    (The Center for Health Equity Research and Promotion (CHERP) at the Michael J. Crescenz Veterans Affairs (VA) Medical Center, Philadelphia, PA, USA
    Organizational Dynamics, Liberal and Professional Studies, School of Arts & Sciences, University of Pennsylvania, Philadelphia, PA, USA)

Abstract

Background A shared decision-making (SDM) process for lung cancer screening (LCS) includes a discussion between clinicians and patients about benefits and potential harms. Expert-driven taxonomies consider mortality reduction a benefit and consider false-positives, incidental findings, overdiagnosis, overtreatment, radiation exposure, and direct and indirect costs of LCS as potential harms. Objective To explore whether patients conceptualize the attributes of LCS differently from expert-driven taxonomies. Design Cross-sectional study with semistructured interviews and a card-sort activity. Participants Twenty-three Veterans receiving primary care at a Veterans Affairs Medical Center, 55 to 73 y of age with 30 or more pack-years of smoking. Sixty-one percent were non-Hispanic African American or Black, 35% were non-Hispanic White, 4% were Hispanic, and 9% were female. Approach Semistructured interviews with thematic coding. Main Measures The proportion of participants categorizing each attribute as a benefit or harm and emergent themes that informed this categorization. Key Results In addition to categorizing reduced lung cancer deaths as a benefit (22/23), most also categorized the following as benefits: routine annual screening (8/9), significant incidental findings (20/23), follow-up in a nodule clinic (20/23), and invasive procedures (16/23). Four attributes were classified by most participants as a harm: false-positive (13/22), overdiagnosis (13/23), overtreatment (6/9), and radiation exposure (20/22). Themes regarding the evaluation of LCS outcomes were 1) the value of knowledge about body and health, 2) anticipated positive and negative emotions, 3) lack of clarity in terminology, 4) underlying beliefs about cancer, and 5) risk assessment and tolerance for uncertainty. Conclusions Anticipating discordance between patient- and expert-driven taxonomies of the benefits and harms of LCS can inform the development and interpretation of value elicitation and SDM discussions.

Suggested Citation

  • Marilyn M. Schapira & Keri L. Rodriguez & Sumedha Chhatre & Liana Fraenkel & Lori A. Bastian & Jeffrey D. Kravetz & Onur Asan & Scott Akers & Anil Vachani & Jason M. Prigge & Jessica Meline & Jennifer, 2021. "When Is a Harm a Harm? Discordance between Patient and Medical Experts’ Evaluation of Lung Cancer Screening Attributes," Medical Decision Making, , vol. 41(3), pages 317-328, April.
  • Handle: RePEc:sae:medema:v:41:y:2021:i:3:p:317-328
    DOI: 10.1177/0272989X20987221
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0272989X20987221
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0272989X20987221?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Paul Slovic & Melissa L. Finucane & Ellen Peters & Donald G. MacGregor, 2004. "Risk as Analysis and Risk as Feelings: Some Thoughts about Affect, Reason, Risk, and Rationality," Risk Analysis, John Wiley & Sons, vol. 24(2), pages 311-322, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Raman Kachurka & Michał W. Krawczyk & Joanna Rachubik, 2021. "Persuasive messages will not raise COVID-19 vaccine acceptance. Evidence from a nation-wide online experiment," Working Papers 2021-07, Faculty of Economic Sciences, University of Warsaw.
    2. James K. Hammitt, 2020. "Valuing mortality risk in the time of COVID-19," Journal of Risk and Uncertainty, Springer, vol. 61(2), pages 129-154, October.
    3. Huaiyuan Zhai & Mengjie Li & Shengyue Hao & Mingli Chen & Lingchen Kong, 2021. "How Does Metro Maintenance Staff’s Risk Perception Influence Safety Citizenship Behavior—The Mediating Role of Safety Attitude," IJERPH, MDPI, vol. 18(10), pages 1-20, May.
    4. Scorgie, Fiona & Khoza, Nomhle & Delany-Moretlwe, Sinead & Velloza, Jennifer & Mangxilana, Nomvuyo & Atujuna, Millicent & Chitukuta, Miria & Matambanadzo, Kudzai V. & Hosek, Sybil & Makhale, Lerato & , 2021. "Narrative sexual histories and perceptions of HIV risk among young women taking PrEP in southern Africa: Findings from a novel participatory method," Social Science & Medicine, Elsevier, vol. 270(C).
    5. Kang, Min Jung & Park, Heejun, 2011. "Impact of experience on government policy toward acceptance of hydrogen fuel cell vehicles in Korea," Energy Policy, Elsevier, vol. 39(6), pages 3465-3475, June.
    6. Branden B. Johnson, 2017. "Explaining Americans’ responses to dread epidemics: an illustration with Ebola in late 2014," Journal of Risk Research, Taylor & Francis Journals, vol. 20(10), pages 1338-1357, October.
    7. Joanna Sokolowska & Patrycja Sleboda, 2015. "The Inverse Relation Between Risks and Benefits: The Role of Affect and Expertise," Risk Analysis, John Wiley & Sons, vol. 35(7), pages 1252-1267, July.
    8. Robinson, Angela & Covey, Judith & Spencer, Anne & Loomes, Graham, 2010. "Are some deaths worse than others? The effect of 'labelling' on people's perceptions," Journal of Economic Psychology, Elsevier, vol. 31(3), pages 444-455, June.
    9. Kai Greenlees & Randolph Cornelius, 2021. "The promise of panarchy in managed retreat: converging psychological perspectives and complex adaptive systems theory," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 11(3), pages 503-510, September.
    10. Thomas Deroche & Yannick Stephan & Tim Woodman & Christine Le Scanff, 2012. "Psychological Mediators of the Sport Injury—Perceived Risk Relationship," Risk Analysis, John Wiley & Sons, vol. 32(1), pages 113-121, January.
    11. Felix J. Formanski & Marcel M. Pein & David D. Loschelder & John-Oliver Engler & Onno Husen & Johann M. Majer, 2022. "Tipping points ahead? How laypeople respond to linear versus nonlinear climate change predictions," Climatic Change, Springer, vol. 175(1), pages 1-20, November.
    12. Heather Rosoff & Robert Siko & Richard John & William J. Burns, 2013. "Should I stay or should I go? An experimental study of health and economic government policies following a severe biological agent release," Environment Systems and Decisions, Springer, vol. 33(1), pages 121-137, March.
    13. Pam A. Mueller & Lawrence M. Solan & John M. Darley, 2012. "When Does Knowledge Become Intent? Perceiving the Minds of Wrongdoers," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 9(4), pages 859-892, December.
    14. Lynn J. Frewer, 2017. "Consumer acceptance and rejection of emerging agrifood technologies and their applications," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 44(4), pages 683-704.
    15. Mutlu, Asli & Roy, Debraj & Filatova, Tatiana, 2023. "Capitalized value of evolving flood risks discount and nature-based solution premiums on property prices," Ecological Economics, Elsevier, vol. 205(C).
    16. Mahmud, Hasan & Islam, A.K.M. Najmul & Ahmed, Syed Ishtiaque & Smolander, Kari, 2022. "What influences algorithmic decision-making? A systematic literature review on algorithm aversion," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    17. Laura Colautti & Alice Cancer & Sara Magenes & Alessandro Antonietti & Paola Iannello, 2022. "Risk-Perception Change Associated with COVID-19 Vaccine’s Side Effects: The Role of Individual Differences," IJERPH, MDPI, vol. 19(3), pages 1-14, January.
    18. H. R. N. van Erp & R. O. Linger & P. H. A. J. M. van Gelder, 2014. "Fact Sheet Research on Bayesian Decision Theory," Papers 1409.8269, arXiv.org, revised Jan 2015.
    19. Therese Kobbeltvedt & Katharina Wolff, 2009. "The Risk-as-feelings hypothesis in a Theory-of-planned-behaviour perspective," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 4(7), pages 567-586, December.
    20. Visschers, Vivianne H.M. & Keller, Carmen & Siegrist, Michael, 2011. "Climate change benefits and energy supply benefits as determinants of acceptance of nuclear power stations: Investigating an explanatory model," Energy Policy, Elsevier, vol. 39(6), pages 3621-3629, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:medema:v:41:y:2021:i:3:p:317-328. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.