Literature DB >> 22033614

Factors influencing adherence to mammography screening guidelines in Appalachian women participating in a mobile mammography program.

Ami Vyas1, Suresh Madhavan, Traci LeMasters, Elvonna Atkins, Sara Gainor, Stephenie Kennedy, Kimberly Kelly, Linda Vona-Davis, Scot Remick.   

Abstract

The objectives of this study were to evaluate the characteristics (demographic, access to care, health-related behavioral, self and family medical history, psychosocial) of women age 40 years and above who participated in a mobile mammography screening program conducted throughout West Virginia (WV) to determine the factors influencing their self-reported adherence to mammography screening guidelines. Data were analyzed using the Andersen Behavioral Model of Healthcare Utilization framework to determine the factors associated with adherence to mammography screening guidelines in these women. Of the 686 women included in the analysis, 46.2% reported having had a mammogram in the past 2 years. Bivariate analyses showed predisposing factors such as older age and unemployed status, visit to a obstetrician/gynecologist (OB/GYN) in the past year (an enabling factor) and need-related factors such as having a family history of breast cancer (BC), having had breast problems in the past, having had breast biopsy in the past, having had a Pap test in past 2 years, and having had all the screenings for cholesterol, blood glucose, bone mineral density and high blood pressure in past 2 years to be significant predictors of self-reported adherence to mammography guidelines. In the final model, being above 50 years (OR=2.132), being morbidly obese (OR=2.358), having BC-related events and low knowledge about mammography were significant predictors of self-reported adherence. Breast cancer related events seem to be associated with mammography screening adherence in this rural Appalachian population. Increasing adherence to mammography screening may require targeted, community-based educational interventions that precede and complement visits by the mobile mammography unit.

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Year:  2012        PMID: 22033614     DOI: 10.1007/s10900-011-9494-z

Source DB:  PubMed          Journal:  J Community Health        ISSN: 0094-5145


  55 in total

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Review 5.  Mammography and breast cancer: the new era.

Authors:  L Tabár; P B Dean
Journal:  Int J Gynaecol Obstet       Date:  2003-09       Impact factor: 3.561

Review 6.  Common psychosocial factors underlying breast cancer screening and breast cancer treatment adherence: a conceptual review and synthesis.

Authors:  Carol Magai; Nathan Consedine; Alfred I Neugut; Dawn L Hershman
Journal:  J Womens Health (Larchmt)       Date:  2007 Jan-Feb       Impact factor: 2.681

7.  Effectiveness of population-based service screening with mammography for women ages 40 to 49 years: evaluation of the Swedish Mammography Screening in Young Women (SCRY) cohort.

Authors:  Barbro Numan Hellquist; Stephen W Duffy; Shahin Abdsaleh; Lena Björneld; Pál Bordás; László Tabár; Bedrich Viták; Sophia Zackrisson; Lennarth Nyström; Håkan Jonsson
Journal:  Cancer       Date:  2010-09-29       Impact factor: 6.860

8.  Use of screening mammography and clinical breast examinations among black, Hispanic, and white women.

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Review 9.  Breast cancer screening with mammography.

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Authors:  Nancy Breen; Jane F Gentleman; Jeannine S Schiller
Journal:  Cancer       Date:  2010-11-30       Impact factor: 6.860

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  17 in total

1.  "Don't know" and accuracy of breast cancer risk perceptions among Appalachian women attending a mobile mammography program: implications for educational interventions and patient empowerment.

Authors:  Traci LeMasters; Suresh Madhavan; Elvonna Atkins; Ami Vyas; Scot Remick; Linda Vona-Davis
Journal:  J Cancer Educ       Date:  2014-12       Impact factor: 2.037

2.  Accessibility and utilization patterns of a mobile medical clinic among vulnerable populations.

Authors:  Britton A Gibson; Debarchana Ghosh; Jamie P Morano; Frederick L Altice
Journal:  Health Place       Date:  2014-05-21       Impact factor: 4.078

3.  Are obese women more likely to participate in a mobile mammography program?

Authors:  Elvonna Atkins; Suresh Madhavan; Traci LeMasters; Ami Vyas; Sara Jane Gainor; Scot Remick
Journal:  J Community Health       Date:  2013-04

4.  Predictors of self-reported adherence to mammography screening guidelines in West Virginia women visiting a stationary facility.

Authors:  Ami Vyas; Suresh Madhavan; Kimberly Kelly; Aaron Metzger; Judith Schreiman; Scott Remick
Journal:  W V Med J       Date:  2014 Mar-Apr

5.  Adherence to screening mammography among American Indian women of the Northern Plains.

Authors:  Emily L Roen; Marilyn A Roubidoux; Annette I Joe; Tina R Russell; Amr S Soliman
Journal:  Breast Cancer Res Treat       Date:  2013-06-09       Impact factor: 4.872

6.  Strategies for hepatitis C testing and linkage to care for vulnerable populations: point-of-care and standard HCV testing in a mobile medical clinic.

Authors:  Jamie P Morano; Alexei Zelenev; Andrea Lombard; Ruthanne Marcus; Britton A Gibson; Frederick L Altice
Journal:  J Community Health       Date:  2014-10

7.  Gender roles and acculturation: relationships with cancer screening among Vietnamese American women.

Authors:  Anh B Nguyen; Trenette T Clark; Faye Z Belgrave
Journal:  Cultur Divers Ethnic Minor Psychol       Date:  2014-01

8.  Do Appalachian women attending a mobile mammography program differ from those visiting a stationary mammography facility?

Authors:  Ami Vyas; Suresh Madhavan; Kimberly Kelly; Aaron Metzger; Judith Schreiman; Scot Remick
Journal:  J Community Health       Date:  2013-08

9.  Health care and HIV testing experiences among Black men in the South: implications for "Seek, Test, Treat, and Retain" HIV prevention strategies.

Authors:  Rupali Kotwal Doshi; David Malebranche; Lisa Bowleg; Thurka Sangaramoorthy
Journal:  AIDS Patient Care STDS       Date:  2012-12-26       Impact factor: 5.078

10.  Need, enabling, predisposing, and behavioral determinants of access to preventative care in Argentina: analysis of the national survey of risk factors.

Authors:  Eiman Jahangir; Vilma Irazola; Adolfo Rubinstein
Journal:  PLoS One       Date:  2012-09-12       Impact factor: 3.240

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