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Utility of health belief model as a guide for explaining or predicting breast cancer screening behaviours

Authors

  • Suzanne S. Yarbrough PhD RN,

    1. Assistant Professor, The University of Texas Health Science Center at San Antonio School of Nursing, San Antonio, Texas, USA. Professor, Associate Dean for Research and Director of Doctoral Studies, The University of Texas Health Science Center at San Antonio School of Nursing, San Antonio, Texas, USA.
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  • Carrie J. Braden PhD RN

    1. Assistant Professor, The University of Texas Health Science Center at San Antonio School of Nursing, San Antonio, Texas, USA. Professor, Associate Dean for Research and Director of Doctoral Studies, The University of Texas Health Science Center at San Antonio School of Nursing, San Antonio, Texas, USA.
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Suzanne Yarbrough, University of Texas, Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229-3900, USA. E-mail: yarbroughs@uthscsa.edu

Abstract

Utility of health belief model as a guide for explaining or predicting breast cancer screening behaviours

Aim. The purpose of this study was to assess the utility of HBM as a theoretical guide for predicting breast cancer screening and therefore for guiding intervention studies.

Background. Breast cancer is the leading cause of death for middle age women (35–50) and the second leading cause of cancer deaths in all women in the United States (US). Early detection of breast cancer through screening is the only option available to women. However, less than half of all women in the US participate in screening. The health belief model (HBM), which specifies interactions of values and beliefs about health and their influence on choices, has been widely used to explain screening behaviour.

Methods. An integrative research review analysed 16 published descriptive studies employing HBM. Literature was located through a search of research based studies listed in Cumulative Index of Nursing and Allied Health (CINAHL), Medline, and cancer literature databases and studies cited in other references between 1990 and 1999.

Findings. Application of HBM was inconsistent. No study tested nonlinear relationships between variables as specified in the model. At best, the model explained 47% of the variance in screening behaviour when socioeconomic status was included. Otherwise predictive power was low, ranging from 15 to 27%.

Conclusions. While the model provides some description of the values, beliefs and behaviours of middle-aged women primarily, HBM does not appear to have the power to consistently predict behaviours. Further research is needed to provide more thorough depiction of the social, nonhealth care meaning of breast cancer.

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