Literature DB >> 34750203

Long-term Mammography Adherence among Uninsured Women Enrolled in the Breast Screening and Patient Navigation (BSPAN) Program.

Rasmi G Nair1, Simon J Craddock Lee2,3, Emily Berry4, Keith E Argenbright2,3,4, Jasmin A Tiro2,3, Celette Sugg Skinner2,3.   

Abstract

BACKGROUND: The Breast Screening and Patient Navigation (BSPAN) Program provides access to no-cost breast cancer screening services to uninsured women in North Texas. Using data from the longitudinal BSPAN program (2012-2019), we assessed prevalence and correlates of (i) baseline adherence and (ii) longitudinal adherence to screening mammograms.
METHODS: Outcomes were baseline adherence (adherent if women received second mammogram 9-30 months after the index mammogram) and longitudinal adherence (assessed among baseline adherent women and defined as being adherent 39 months from the index mammogram). We used multivariable logistic regression and multivariable Cox proportional hazards model to assess associations of sociodemographic and clinical characteristics with baseline and longitudinal adherence, respectively.
RESULTS: Of 19,292 women, only 5,382 (27.9%) were baseline adherent. Baseline adherence was more likely among women who were partnered, preferred speaking Spanish, had poor reading ability, had prior Papanicolaou (PAP) testing, and prior screening mammograms, compared with women who were non-partnered, preferred speaking English, had good reading ability, had no prior PAP testing, and no prior screening mammograms, respectively. Of those who were baseline adherent, 4,364 (81.1%) women demonstrated longitudinal adherence. Correlates of longitudinal adherence were similar to those from baseline adherence.
CONCLUSIONS: A large proportion of baseline adherent women (>80%) achieved longitudinal adherence, which highlights the importance of concentrating resources during the second mammogram in the progression toward continued adherence. IMPACT: Results from our unique dataset provide realistic mammography adherence rates and may be generalizable to other areas introducing no-cost screening to low-income women, independent of any regular patient-centered medical home. ©2021 American Association for Cancer Research.

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Year:  2021        PMID: 34750203      PMCID: PMC8755604          DOI: 10.1158/1055-9965.EPI-21-0191

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.090


  38 in total

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2.  Predictors of screening mammography among Asian Indian American women: a cross-sectional study in the Baltimore-Washington metropolitan area.

Authors:  Meena Somanchi; Hee-Soon Juon; Rajiv Rimal
Journal:  J Womens Health (Larchmt)       Date:  2010-03       Impact factor: 2.681

3.  Latino Health Behavior: An Exploratory Analysis of Health Risk and Health Protective Factors in a Community Sample.

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4.  Effects of program scale-up on time to resolution for patients with abnormal screening mammography results.

Authors:  Simon Craddock Lee; Robin T Higashi; Joanne M Sanders; Hong Zhu; Stephen J Inrig; Caroline Mejias; Keith E Argenbright; Jasmin A Tiro
Journal:  Cancer Causes Control       Date:  2018-08-23       Impact factor: 2.506

5.  Effects of mammography screening under different screening schedules: model estimates of potential benefits and harms.

Authors:  Jeanne S Mandelblatt; Kathleen A Cronin; Stephanie Bailey; Donald A Berry; Harry J de Koning; Gerrit Draisma; Hui Huang; Sandra J Lee; Mark Munsell; Sylvia K Plevritis; Peter Ravdin; Clyde B Schechter; Bronislava Sigal; Michael A Stoto; Natasha K Stout; Nicolien T van Ravesteyn; John Venier; Marvin Zelen; Eric J Feuer
Journal:  Ann Intern Med       Date:  2009-11-17       Impact factor: 25.391

6.  Breast cancer screening attitudes and behaviors of rural and urban women.

Authors:  H Bryant; Z Mah
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7.  On-schedule mammography rescreening in the National Breast and Cervical Cancer Early Detection Program.

Authors:  Janet Kay Bobo; Jean A Shapiro; Jane Schulman; Charles L Wolters
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2004-04       Impact factor: 4.254

8.  Rural-Urban Differences in Breast Reconstruction Utilization Following Oncologic Resection.

Authors:  Ryan C DeCoster; Robert-Marlo F Bautista; Jack C Burns; Adam J Dugan; R Wesley Edmunds; Brian D Rinker; J Matthew Webster; Henry C Vasconez
Journal:  J Rural Health       Date:  2019-09-11       Impact factor: 4.333

9.  Increasingly strong reduction in breast cancer mortality due to screening.

Authors:  G van Schoor; S M Moss; J D M Otten; R Donders; E Paap; G J den Heeten; R Holland; M J M Broeders; A L M Verbeek
Journal:  Br J Cancer       Date:  2011-02-22       Impact factor: 7.640

10.  A combined approach to women's health is associated with a greater likelihood of repeat mammography in a population of financially disadvantaged women.

Authors:  Karen Y Gregory-Mercado; Julie Will; Susan True; Janet Royalty; E Thomas Starcher; Olga Khavjou; William Helsel; William Kammerer; William Howe
Journal:  Prev Chronic Dis       Date:  2007-09-15       Impact factor: 2.830

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  2 in total

1.  Prevalence and correlates of false-positive results after 3-D screening mammography among uninsured women in a community outreach program.

Authors:  Rasmi G Nair; Simon J Craddock Lee; Hong Zhu; Firouzeh K Arjmandi; Emily Berry; Keith E Argenbright; Jasmin A Tiro; Celette Sugg Skinner
Journal:  Prev Med Rep       Date:  2022-04-05

2.  The Effect of Two Interventions to Increase Breast Cancer Screening in Rural Women.

Authors:  Victoria L Champion; Patrick O Monahan; Timothy E Stump; Erika B Biederman; Eric Vachon; Mira L Katz; Susan M Rawl; Ryan D Baltic; Carla D Kettler; Natalie L Zaborski; Electra D Paskett
Journal:  Cancers (Basel)       Date:  2022-09-07       Impact factor: 6.575

  2 in total

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