Asian Pacific Journal of Cancer Prevention

Asian Pacific Journal of Cancer Prevention (아시아태평양암예방학회)
권호 표지
DOI QR코드

DOI QR Code

Factors Affecting Breast Cancer Screening Behavior in Japan - Assessment using the Health Belief Model and Conjoint Analysis

  • Tsunematsu, Miwako (Department of Health Informatics, Graduate School of Biomedical and Health Sciences Hiroshima University) ;
  • Kawasaki, Hiromi (Department of School and Public Health Nursing, Graduate School of Biomedical and Health Sciences Hiroshima University) ;
  • Masuoka, Yuko (Department of School and Public Health Nursing, Graduate School of Biomedical and Health Sciences Hiroshima University) ;
  • Kakehashi, Masayuki (Department of Health Informatics, Graduate School of Biomedical and Health Sciences Hiroshima University)
  • Published : 2013.10.30
Download PDF
⟨ Previous Next ⟩

Abstract

Background: Japanese women in their 40s or older have been encouraged to attend breast cancer screening. However, the breast cancer screening rate in Japan is not as high as in Europe and the United States. The aim of this study was to identify psychological and personal characteristics of women concerning their participation in breast cancer screening using the Health Belief Model (HBM). In addition, the attributes of screening more easily accepted by participants were analyzed by conjoint analysis. Materials and Methods: In this cross sectional study of 3,200 age 20-69 women, data were collected by an anonymous questionnaire. Questions were based on HBM and personal characteristics, and included attitudes on hypothetical screening attributes. Data of women aged 40-69 were analyzed by logistic regression and conjoint analysis to clarify the factors affecting their participation in breast cancer screening. Results: Among responses collected from 1,280 women of age 20-69, the replies of 993 women of age 40-69 were used in the analysis. Regarding the psychological characteristics based on HBM, the odds ratios were significantly higher in "importance of cancer screening" (95%CI: 1.21-2.47) and "benefits of cancer screening" (95%CI: 1.09-2.49), whereas the odds ratio was significantly lower in "barriers to participation before cancer screening" (95%CI: 0.27-0.51). Conjoint analysis revealed that the respondents, overall, preferred screening to be low cost and by female staff members. Furthermore, it was also clarified that attributes of screening dominant in decision-making were influenced by the employment status and the type of medical insurance of the women. Conclusions: In order to increase participation in breast cancer screening, it is necessary to disseminate accurate knowledge on cancer screening and to reduce barriers to participation. In addition, the attributes of screening more easily accepted were inexpensive, provided by female staff, executed in a hospital and finished in a short time.

Keywords

References

  1. Ahmadian M, Samah AA (2013). Application of health behavior theories to breast cancer screening among asian women. Asian Pac J Cancer Prev, 14, 4005-13. https://doi.org/10.7314/APJCP.2013.14.7.4005
  2. Champion VL (1993). Instrument refinement for breast cancer screening behaviors. Nurs Res, 42, 139-43.
  3. Coughlin SS, Leadbetter S, Richards T, et al (2008). Contextual analysis of breast and cervical cancer screening and factors associated with health care access among United States women, 2002. Soc Sci, 66, 260-75.
  4. Curado MP, Edwards B, Shin HR, et al (2007). Cancer Incidence in Five Continents.
  5. Doi Y (2009). Behavioral science research in Japan, from theory to practice. J Natl Inst Public Health, 58, 2-10.
  6. Ghanouni A, Smith SG, Halligan S (2013). Public preferences for colorectal cancer screening tests: a review of conjoint analysis studies. Expert Rev Med Devices, 10, 489-99. https://doi.org/10.1586/17434440.2013.811867
  7. Gozum S, Aydin I (2004). Validation evidence for Turkish adaptation of champion's health belief model scales. Cancer Nurs, 27, 491-8.
  8. Guvenc G, Akyuz A, Acikel CH (2011). Health belief model scale for cervical cancer and Pap smear test: psychometric testing. J Adv Nurs, 67, 428-37. https://doi.org/10.1111/j.1365-2648.2010.05450.x
  9. Gyrd-Hansen D, Sogaard J (2001). Analysing public preferences for cancer screening programmes. Health Econ, 10, 617-34. https://doi.org/10.1002/hec.622
  10. Hajian S, Vakilian K, Najabadi KM, et al (2011). Effects of education based on the health belief model on screening behavior in high risk women for breast cancer, Tehran, Iran. Asian Pac J Cancer Prev, 12, 49-54.
  11. Hata E (2009). Health belief model. In 'Behavioral Science - Theory and Application for Health Promotion', Eds Hata E and Doi Y. Nankodo, Japan pp 37-56
  12. Hawley ST, Volk RJ, Krishnamurthy P, et al (2008). Preferences for colorectal cancer screening among racially/ethnically diverse primary care patients. Med Care, 46, 10-6. https://doi.org/10.1097/MLR.0b013e31817d932e
  13. Hol L, de Bekker-Grob EW, van Dam L, et al (2010). Preferences for colorectal cancer screening strategies: a discrete choice experiment. Br J Cancer, 102, 972-80. https://doi.org/10.1038/sj.bjc.6605566
  14. Hyman RB, Baker S, Ephraim R, et al (1994). Health Belief Model variables as predictors of screening mammography utilization. J Behav Med, 17, 391-406. https://doi.org/10.1007/BF01858010
  15. Kaneto C, Toyokawa T, Mitoshi Y (2010). The factors influential to cervical cancer screening behaviors among Japanese female workers: MY Health Up Study. J Health and Welfare Statistics, 57, 1-7.
  16. Kawakami C, Okamoto N, Ohshige K, et al (2007). The survey of citizens' ideas on cancer screening behaviors. J Health and Welfare Statistics, 58, 83-94.
  17. Lemon S, Zapka J, Puleo E, et al (2001). Colorectal cancer screening participation: comparisons with mammography and prostate-specific antigen screening. Am J Public Health, 91, 1264-72. https://doi.org/10.2105/AJPH.91.8.1264
  18. Matsuda A, Matsuda T, Shibata A, et al (2013). Cancer incidence and incidence rates in Japan in 2007: a study of 21 population-based cancer registries for the monitoring of cancer incidence in Japan (MCIJ) project. Jap J Clin Oncol, 43, 328-36. https://doi.org/10.1093/jjco/hys233
  19. Marshall DA, Johnson FR, Phillips KA, et al (2007). Measuring patient preferences for colorectal cancer screening using a choice-format survey. Value Health, 5, 415-30.
  20. Medina-Shepherd R, Kleier JA (2010). Spanish translation and adaptation of Victoria Champion's Health Belief Model Scales for breast cancer screening--mammography. Cancer Nurs, 33, 93-101. https://doi.org/10.1097/NCC.0b013e3181c75d7b
  21. Menon U, Champion V, Monahan PO, et al (2007). Health belief model variables as predictors of progression in stage of mammography adoption. Am J Health Promot, 21, 55-61.
  22. Murakami S (2012). Risk factors of breast cancer -life style and environmental factors. Nihon Rinsho, 70, 50-4.
  23. Ryan M, Farrar S (2000). Using conjoint analysis to elicit preferences for health care. BMJ, 320, 1530-3. https://doi.org/10.1136/bmj.320.7248.1530
  24. Rosenstock IM (1966). Why people use health services. Milbank Mem Fund Q, 44, 94-127. https://doi.org/10.2307/3348967
  25. Saika K, Sobue T (2009). Epidemiology of Breast Cancer in Japan and the US. JMAJ, 52, 39-44.
  26. Saika K, Sobue T (2011). Time trends in breast cancer screening rates in the OECD countries. Jpn J Clin Oncol, 41, 591-2. https://doi.org/10.1093/jjco/hyr044
  27. Sugawara S, Matsuda T (2013). Effectiveness of the measures to non- participants in cancer screening among Japanese workers. Nihon Koshu Eisei Zasshi, 60, 396-402.
  28. Seki A, Hirai K, Nagatsuka M et al (2011). Measurement of the attitude regarding breast cancer screening. J Health and Welfare Statistics, 58, 14-20.
  29. Shin HR, Joubert C, Boniol M (2010a). Recent trends and patterns in breast cancer incidence among Eastern and Southeastern Asian women. Cancer Causes Control, 21, 777-85. https://doi.org/10.1007/s10552-010-9506-9
  30. Shin HR, Boniol M, Joubert C (2010b). Secular trends in breast cancer mortality in five East Asian populations: Hong Kong, Japan, Korea, Singapore and Taiwan. Cancer Sci, 101, 1241-6. https://doi.org/10.1111/j.1349-7006.2010.01519.x
  31. Stein JA, Fox SA, Murata PJ, et al (1992). Mammography usage and the health belief model. Health Educ Q, 19, 447-62. https://doi.org/10.1177/109019819201900409
  32. Suzuki A, Ishida T, Ohuchi N (2012). Current status and problems of breast cancer screening in Japan. Nihon Rinsho, 70, 780-4.
  33. Tabuchi T, Nakayama T, Tsukuma H (2012). Disparity in cancer screening rates in Japan: Impact of the type of medical insurance. Nihon Iji Shinposha, 4605, 84-8.
  34. Taguchi R, Yamazaki Y, Nakayama K (2010). Eliciting preferences for mammography: using a discrete choice experiment approach. Nihon Koshu Eisei Zasshi, 57, 83-94.
  35. Tajima K (2012). Epidemiological features of breast cancer with special reference of global pattern. Nihon Rinsho, 70, 42-9.
  36. Tavafian SS, Hasani L, Aghamolaei T, et al (2009). Prediction of breast self-examination in a sample of Iranian women: an application of the Health Belief Model. BMC Womens Health, 9, 37. https://doi.org/10.1186/1472-6874-9-37
  37. Tohnai S, Hata E (1994). Factors affecting health behavior of the people aged forties-a test of the health belief model. Nihon Koshu Eisei Zasshi, 41, 362-9.
  38. Tsubono Y, Fukao A, Hisamichi S, et al (1993). Health belief model and attendance at screenings for gastric cancer in a population in Miyagi, Japan. Nihon Koshu Eisei Zasshi, 40, 255-64.
  39. Yarbrough SS, Braden CJ (2001). Utility of health belief model as a guide for explaining or predicting breast cancer screening behaviours. J Adv Nurs, 33, 677-88. https://doi.org/10.1046/j.1365-2648.2001.01699.x
  40. Yilmaz D, Bebis H, Ortabag T, et al (2013). Determining the awareness of and compliance with breast cancer screening among Turkish residential women. Asian Pac J Cancer Prev, 14, 3281-8. https://doi.org/10.7314/APJCP.2013.14.5.3281

Cited by

  1. Turkish Social Attitudes towards to Cancer Prevention: a Health Belief Model Study vol.15, pp.18, 2014, https://doi.org/10.7314/APJCP.2014.15.18.7935
  2. What is the Most Effective Strategy for Improving the Cancer Screening Rate in Japan? vol.15, pp.6, 2014, https://doi.org/10.7314/APJCP.2014.15.6.2607
  3. Effectiveness of Online Education in Teaching Breast Self-Examination vol.15, pp.7, 2014, https://doi.org/10.7314/APJCP.2014.15.7.3227
  4. Vietnamese Health Care Providers' Preferences Regarding Recommendation of HPV Vaccines vol.16, pp.12, 2015, https://doi.org/10.7314/APJCP.2015.16.12.4895
  5. Readability, Suitability and Health Content Assessment of Cancer Screening Announcements in Municipal Newspapers in Japan vol.16, pp.15, 2015, https://doi.org/10.7314/APJCP.2015.16.15.6719
  6. No Increase in Breast Cancer Risk in Japanese Women Taking Oral Contraceptives: a Case-Control Study Investigating Reproductive, Menstrual and Familial Risk Factors for Breast Cancer vol.16, pp.9, 2015, https://doi.org/10.7314/APJCP.2015.16.9.3685
  7. At what age should screening mammography be recommended for Asian women? vol.4, pp.7, 2015, https://doi.org/10.1002/cam4.468
  8. Stated Preference for Cancer Screening: A Systematic Review of the Literature, 1990–2013 vol.13, pp.1545-1151, 2016, https://doi.org/10.5888/pcd13.150433
  9. Distinct breast cancer characteristics between screen- and self-detected breast cancers recorded in the Japanese Breast Cancer Registry vol.156, pp.3, 2016, https://doi.org/10.1007/s10549-016-3770-7
  10. Does lack of resources impair access to breast and cervical cancer screening in Japan? vol.12, pp.7, 2017, https://doi.org/10.1371/journal.pone.0180819