Literature DB >> 7966260

Health Belief Model variables as predictors of screening mammography utilization.

R B Hyman1, S Baker, R Ephraim, A Moadel, J Philip.   

Abstract

Despite its efficacy, screening mammography is not widely utilized due to various factors. The Health Belief Model (HBM) has previously been used as one conceptualization of relevant patient attitudes. No psychometrically validated measure of these variables has previously been utilized, however, nor have prospective studies of women all of whom have been referred by their physicians for mammography been reported. The research reported here addressed both of those issues. A psychometrically validated measure of the HBM variables, perceived susceptibility, barriers, and benefits, was used, along with age, education, ethnicity, and family breast cancer history to predict mammography utilization in a prospective study of hospital employees. Being white, perceiving fewer benefits of and barriers to mammography, and having a family history of breast cancer were predictive of noncompliance. The avoidant behavior of employees with a family history of breast cancer must be addressed in attempts to increase mammography utilization. In addition, results of the study imply the need for full discussion with women referred for mammography of all issues related to its use, both its benefits and possible barriers.

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Year:  1994        PMID: 7966260     DOI: 10.1007/BF01858010

Source DB:  PubMed          Journal:  J Behav Med        ISSN: 0160-7715


  44 in total

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Journal:  JAMA       Date:  1988-03-11       Impact factor: 56.272

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Journal:  JAMA       Date:  1981-03-06       Impact factor: 56.272

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7.  Some reasons for compliance and noncompliance in a health maintenance organization breast cancer screening program.

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Journal:  J Compliance Health Care       Date:  1988

8.  Improving the utilization of screening mammography in primary care practices.

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Authors:  R B Hyman; S Baker
Journal:  Psychol Rep       Date:  1992-12

10.  Impact of low-cost mammography screening on nearby mammography practices.

Authors:  E A Sickles
Journal:  Radiology       Date:  1988-07       Impact factor: 11.105

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  19 in total

1.  A randomized trial of breast cancer risk counseling: the impact on self-reported mammography use.

Authors:  M D Schwartz; B K Rimer; M Daly; C Sands; C Lerman
Journal:  Am J Public Health       Date:  1999-06       Impact factor: 9.308

2.  Mammography screening among Chinese-American women.

Authors:  Shin-Ping Tu; Yutaka Yasui; Alan A Kuniyuki; Stephen M Schwartz; J Carey Jackson; Thomas Gregory Hislop; Vicky Taylor
Journal:  Cancer       Date:  2003-03-01       Impact factor: 6.860

3.  Screening mammography use and chemotherapy among female stage II colon cancer patients: a retrospective cohort study.

Authors:  Xinhua Yu; Alexander M McBean
Journal:  BMC Health Serv Res       Date:  2010-04-19       Impact factor: 2.655

4.  Beliefs about the pap smear among Mexican immigrants.

Authors:  Jessica Gregg; Tatiana Centurion; Raquel Aguillon; Julio Maldonado; Rosemary Celaya-Alston
Journal:  J Immigr Minor Health       Date:  2011-10

5.  A Theory-Based Model for Predicting Adherence to Guidelines for Screening Mammography among Women Age 40 and Older.

Authors:  Saleh M M Rahman; Mark B Dignan; Brent J Shelton
Journal:  Int J Canc Prev       Date:  2005-05

6.  Using the Health Belief Model to explain patient involvement in patient safety.

Authors:  Andrea C Bishop; G Ross Baker; Todd A Boyle; Neil J MacKinnon
Journal:  Health Expect       Date:  2014-10-10       Impact factor: 3.377

7.  Factors determining compliance with screening mammography.

Authors:  M D Beaulieu; F Béland; D Roy; M Falardeau; G Hébert
Journal:  CMAJ       Date:  1996-05-01       Impact factor: 8.262

8.  Prevalence of seasonal influenza vaccination and associated factors in people with chronic diseases in Hong Kong.

Authors:  H Y Tsui; J T F Lau; C Lin; K C Choi
Journal:  Epidemiol Infect       Date:  2012-04-23       Impact factor: 4.434

9.  Determinants of the use of a diabetes risk-screening test.

Authors:  Nienke Nijhof; Claartje L ter Hoeven; Menno D T de Jong
Journal:  J Community Health       Date:  2008-10

10.  Testing whether barriers to a hypothetical screening test affect unrelated perceived benefits and vice versa: A randomised, experimental study.

Authors:  Alex Ghanouni; Ella Nuttall; Jane Wardle; Christian von Wagner
Journal:  Patient Educ Couns       Date:  2016-09-17
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