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Open Access 01-04-2020 | Colonoscopy | Original Paper

Predictors of Undergoing Colonoscopy, Does Time Horizon Matter?

Authors: Agnieszka Olchowska-Kotala, Beata Bajcar

Published in: Journal of Prevention | Issue 2/2020

Abstract

When talking to patients about undergoing diagnostic colonoscopy, their doctors can present the risk of developing colorectal cancer (CRC) in different time horizons. Studies on time horizons suggest that people have different psychological associations for the near and distant future, which potentially influence their judgments and actions. The aim of this study was to examine what factors predict patients’ intentions to undergo diagnostic colonoscopy. We particularly focused on examining the role of the time horizon in which the probability of developing malignant CRC was presented, when taking into account the following factors: the perception of risk (perceived susceptibility to and perceived severity of CRC), expected discomfort related to the procedure, a previous colonoscopy, and subjective numeracy. Using the Health Belief Model, we sought to determine whether the intention to undergo a preventive colonoscopy is affected by the time horizon. We hypothesized that the risk of developing CRC in a proximal time horizon would be more threatening to an individual than a distal one and would consequently increase an individual’s behavioral intention to undergo a colonoscopy. We examined the effects of two different time horizons: the risk of developing a disease in the next few years and total lifetime risk. A total of 144 respondents (77 women and 67 men) aged 50–59 years participated in the study. We found that risk perception and expected discomfort significantly affected participants’ intention to undergo a colonoscopy. No empirical evidence was found to confirm that presenting a person with the risk of developing malignant CRC in the coming years, as compared to their lifetime risk, increases the behavioral intention to undergo a diagnostic colonoscopy.

Akl, E. A., Oxman, A. D., Herrin, J., Vist, G. E., Terrenato, I., Sperati, F., et al. (2011). Framing of health information messages. The Cochrane Database of Systematic Reviews. https://doi.org/10.1002/14651858.cd006777.CrossRefPubMedPubMedCentral

American Cancer Society. (2015). Cancer facts and figures. Atlanta, GA: American Cancer Society.

Carman, K. G., & Kooreman, P. (2014). Probability perceptions and preventive health care. Journal of Risk and Uncertainty,49(1), 43–71. https://doi.org/10.1007/s11166-014-9196-x.CrossRef

Chandran, S., & Menon, G. (2004). When a day means more than a year: Effects of temporal framing on judgments of health risk. Journal of Consumer Research,31, 375–388. https://doi.org/10.1086/422116.CrossRef

Ciampa, P. J., Osborn, C. Y., Peterson, N. B., & Rothman, R. L. (2010). Patient numeracy, perceptions of provider communication, and colorectal cancer screening utilization. Journal of Health Communication,15(3), 157–168. https://doi.org/10.1080/10810730.2010.522699.CrossRefPubMedPubMedCentral

Fagerlin, A., Zikmund-Fisher, B. J., Ubel, P. A., Jankovic, A., Derry, H. A., & Smith, D. M. (2007). Measuring numeracy without a math test: Development of the subjective numeracy scale. Medical Decision Making,27(5), 672–680. https://doi.org/10.1177/0272989X07304449.CrossRefPubMed

Fair, A. K., Murray, P. G., Thomas, A., & Cobain, M. R. (2008). Using hypothetical data to assess the effect of numerical format and context on the perception of coronary heart disease risk. American Journal of Health Promotion,22(4), 291–296. https://doi.org/10.4278/061030140R2.CrossRefPubMed

Farraye, F. A., Wong, M., Hurwitz, S., Puleo, E., Emmons, K., Wallace, M. B., et al. (2004). Barriers to endoscopic colorectal cancer screening: Are women different from men? American Journal of Gastroenterology,99(2), 341–349.CrossRef

Friedemann-Sánchez, G., Griffin, J. M., & Partin, M. R. (2007). Gender differences in colorectal cancer screening barriers and information needs. Health Expectations,10(2), 148–160. https://doi.org/10.1111/j.1369-7625.2006.00430.x.CrossRefPubMedPubMedCentral

Golbeck, A. L., Ahlers-Schmidt, C. R., Paschal, A. M., & Dismuke, S. E. (2005). A definition and operational framework for health numeracy. American Journal of Preventive Medicine,29(4), 375–376. https://doi.org/10.1016/j.amepre.2005.06.012.CrossRefPubMed

Hochbaum, G., Rosenstock, I., & Kegels, S. (1952/2016). Health belief model. Washington, DC: U.S. Public Health Service. (Original work published 1952).

Kahneman, D. (2003). Maps of bounded rationality: Psychology for behavioral economics. American Economic Review,93(5), 1449–1475.CrossRef

Kahneman, D. (2011). Thinking, fast and slow. Harlow, Essex: Allen Lane.

Lerman, C., Daly, M., Sands, C., Balshem, A., Lustbader, E., Heggan, T., et al. (1993). Mammography adherence and psychological distress among women at risk for breast cancer. Journal of the National Cancer Institute,85(13), 1074–1080.CrossRef

Liberman, N., & Trope, Y. (1998). The role of feasibility and desirability considerations in near and distant future decisions: A test of Temporal Construal Theory. Journal of Personality and Social Psychology,75(1), 5–18. https://doi.org/10.1037/0022-3514.75.1.5.CrossRef

Ling, B. S., Moskowitz, M. A., Wachs, D., Pearson, B., & Schroy, P. C. (2001). Attitudes toward colorectal cancer screening tests. Journal of General Internal Medicine,16(12), 822–830.CrossRef

McCaul, K. D., Branstetter, A. D., Schroeder, D. M., & Glasgow, R. E. (1996). What is the relationship between breast cancer risk and mammography screening? A meta-analytic review. Health Psychology,15(6), 423–429.CrossRef

McCaul, K. D., & Tulloch, H. E. (1999). Cancer screening decisions. Journal of the National Cancer Institute Monographs,25, 52–58.CrossRef

McElroy, T., & Seta, J. J. (2003). Framing effects: An analytic-holistic perspective. Journal of Experimental Social Psychology,39, 610–617.CrossRef

Miron-Shatz, T., Hanoch, Y., Katz, B. A., Doniger, G. M., & Ozanne, E. M. (2015). Willingness to test for BRCA1/2 in high risk women: Influenced by risk perception and family experience, rather than by objective or subjective numeracy? Judgment and Decision Making,10(4), 386–399.

Nelson, R. L., & Schwartz, A. (2004). A survey of individual preference for colorectal cancer screening technique. BMC Cancer,4(76), 1–5. https://doi.org/10.1186/1471-2407-4-76.CrossRef

Nelson, W., Reyna, V. F., Fagerlin, A., Lipkus, I., & Peters, E. (2008). Clinical implications of numeracy: Theory and practice. Annals of Behavioral Medicine,35, 261–274. https://doi.org/10.1007/s12160-008-9037-8.CrossRefPubMedPubMedCentral

Peters, E., Hibbard, J., Slovic, P., & Dieckmann, N. (2007). Numeracy skill and the communication, comprehension, and use of risk-benefit information. Health Affairs,26(3), 741–748. https://doi.org/10.1377/hlthaff.26.3.741.CrossRefPubMed

Peterson, E. B., Ostroff, J. S., DuHamel, K. N., D’Agostino, T. A., Hernandez, M., Canzona, M. R., et al. (2016). Impact of provider-patient communication on cancer screening adherence: A systematic review. Preventive Medicine,93, 96–105. https://doi.org/10.1016/j.ypmed.2016.09.034.CrossRefPubMedPubMedCentral

Pignone, M., Bucholtz, D., & Harris, R. (1999). Patient preferences for colon cancer screening. Journal of General Internal Medicine,14(7), 432–437. https://doi.org/10.1046/j.1525-1497.1999.00018.x.CrossRefPubMedPubMedCentral

Reyna, V. F., Nelson, W. L., Han, P. K., & Dieckmann, N. F. (2009). How numeracy influences risk comprehension and medical decision making. Psychological Bulletin,135(6), 943–973. https://doi.org/10.1037/a0017327.CrossRefPubMedPubMedCentral

Rosenstock, I. M. (1966). Why people use health services. The Milbank Memorial Fund Quarterly,44, 94–127. https://doi.org/10.1111/j.1468-0009.2005.00425.x.CrossRef

Rosenstock, I. M. (1974). The health belief model and preventive health behavior. Health Education Behavior,2(4), 354–386.

Rosenstock, I. M., Strecher, V. J., & Becker, M. H. (1994). The health belief model and HIV risk behavior change. In R. J. DiClemente & J. L. Peterson (Eds.), Preventing AIDS. AIDS prevention and mental health. Boston, MA: Springer. https://doi.org/10.1007/978-1-4899-1193-3_2.CrossRef

Schapira, M. M., Neuner, J., Fletcher, K. E., Gilligan, M. A., Hayes, E., & Laud, P. (2011). The relationship of health numeracy to cancer screening. Journal of Cancer Education,26(1), 103–110. https://doi.org/10.1007/s13187-010-0133-7.CrossRefPubMedPubMedCentral

Scott, L. B., & Curbow, B. (2006). The effect of message frames and CVD risk factors on behavioural outcomes. American Journal of Health Behavior,30, 582–597. https://doi.org/10.5555/ajhb.2006.30.6.582.CrossRefPubMed

Smith, S. G., Kobayashi, L. C., Wolf, M. S., Raine, R., Wardle, J., & von Wagner, C. (2016). The associations between objective numeracy and colorectal cancer screening knowledge, attitudes and defensive processing in a deprived community sample. Journal of Health Psychology,21(8), 1665–1675. https://doi.org/10.1177/1359105314560919.CrossRefPubMed

Sulat, J., Prabandari, Y., Sanusi, R., Hapsari, E., & Santoso, B. (2018). The validity of health belief model variables in predicting behavioral change. Health Education,118(6), 499–512. https://doi.org/10.1108/HE-05-2018-0027.CrossRef

Tannenbaum, M. B., Hepler, J., Zimmerman, R. S., Saul, L., Jacobs, S., Wilson, K., et al. (2015). Appealing to fear: A meta-analysis of fear appeal effectiveness and theories. Psychological Bulletin,141(6), 1178–1204. https://doi.org/10.1037/a0039729.CrossRefPubMedPubMedCentral

Trope, Y., & Liberman, N. (2003). Temporal construal. Psychological Review,110(3), 403–421. https://doi.org/10.1037/0033-295X.110.3.403.CrossRefPubMed

Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science,185(4157), 1124–1131. https://doi.org/10.1126/science.185.4157.1124.CrossRefPubMed

von Karsa, L., Patnick, J., Segnan, N., Atkin, W., Halloran, S., Lansdorp-Vogelaar, I., et al. (2013). European guidelines for quality assurance in colorectal cancer screening and diagnosis: Overview and introduction to the full supplement publication. Gastroenterological Endoscopy,45(1), 51–59. https://doi.org/10.1055/s-0032-1325997.CrossRef

Waldron, C. A., van der Weijden, T., Ludt, S., Gallacher, J., & Elwyn, G. (2011). What are effective strategies to communicate cardiovascular risk information to patients? A systematic review. Patient Education and Counseling,82(2), 169–181. https://doi.org/10.1016/j.pec.2010.04.014.CrossRefPubMed

Whitaker, K. L., Good, A., Miles, A., Robb, K., Wardle, J., & von Wagner, C. (2011). Socioeconomic inequalities in colorectal cancer screening uptake: Does time perspective play a role? Health Psychology,30(6), 702–709. https://doi.org/10.1037/a0023941.CrossRefPubMed

Witte, K., & Allen, M. (2000). A meta-analysis of fear appeals: Implications for effective public health campaigns. Health Education & Behavior,27(5), 591–615.CrossRef

Title: Predictors of Undergoing Colonoscopy, Does Time Horizon Matter?
Authors: Agnieszka Olchowska-Kotala
Beata Bajcar
Publication date: 01-04-2020
Publisher: Springer US
Keywords: Colonoscopy
Colorectal Cancer
Colorectal Cancer
Published in: Journal of Prevention / Issue 2/2020
Print ISSN: 2731-5533
Electronic ISSN: 2731-5541
DOI: https://doi.org/10.1007/s10935-020-00581-5

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