Literature DB >> 23672296

Patient barriers to follow-up care for breast and cervical cancer abnormalities.

Silvia Tejeda1, Julie S Darnell, Young I Cho, Melinda R Stolley, Talar W Markossian, Elizabeth A Calhoun.   

Abstract

BACKGROUND: Women with breast or cervical cancer abnormalities can experience barriers to timely follow-up care, resulting in delays in cancer diagnosis. Patient navigation programs that identify and remove barriers to ensure timely receipt of care are proliferating nationally. The study used a systematic framework to describe barriers, including differences between African American and Latina women; to determine recurrence of barriers; and to examine factors associated with barriers to follow-up care.
METHODS: Data originated from 250 women in the intervention arm of the Chicago Patient Navigation Research Program (PNRP). The women had abnormal cancer screening findings and navigator encounters. Women were recruited from a community health center and a publicly owned medical center. After describing proportions of African American and Latina women experiencing particular barriers, logistic regression was used to explore associations between patient characteristics, such as race/ethnicity, and type of barriers.
RESULTS: The most frequent barriers occurred at the intrapersonal level (e.g., insurance issues and fear), while institutional-level barriers such as system problems with scheduling care were the most commonly recurring over time (29%). The majority of barriers (58%) were reported in the first navigator encounter. Latinas (81%) reported barriers more often than African American women (19%). Differences in race/ethnicity and employment status were associated with types of barriers. Compared to African American women, Latinas were more likely to report an intrapersonal level barrier. Unemployed women were more likely to report an institutional level barrier.
CONCLUSION: In a sample of highly vulnerable women, there is no single characteristic (e.g., uninsured) that predicts what kinds of barriers a woman is likely to have. Nevertheless, navigators appear able to easily resolve intrapersonal-level barriers, but ongoing navigation is needed to address system-level barriers. Patient navigation programs can adopt the PNRP barriers framework to assist their efforts in assuring timely follow-up care.

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Year:  2013        PMID: 23672296      PMCID: PMC3678568          DOI: 10.1089/jwh.2012.3590

Source DB:  PubMed          Journal:  J Womens Health (Larchmt)        ISSN: 1540-9996            Impact factor:   2.681


  59 in total

Review 1.  Improving adherence to abnormal Pap smear follow-up.

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3.  Race, breast cancer subtypes, and survival in the Carolina Breast Cancer Study.

Authors:  Lisa A Carey; Charles M Perou; Chad A Livasy; Lynn G Dressler; David Cowan; Kathleen Conway; Gamze Karaca; Melissa A Troester; Chiu Kit Tse; Sharon Edmiston; Sandra L Deming; Joseph Geradts; Maggie C U Cheang; Torsten O Nielsen; Patricia G Moorman; H Shelton Earp; Robert C Millikan
Journal:  JAMA       Date:  2006-06-07       Impact factor: 56.272

4.  Inadequate follow-up of abnormal screening mammograms: findings from the race differences in screening mammography process study (United States).

Authors:  Beth A Jones; Amy Dailey; Lisa Calvocoressi; Kam Reams; Stanislav V Kasl; Carol Lee; Helen Hsu
Journal:  Cancer Causes Control       Date:  2005-09       Impact factor: 2.506

5.  Barriers to breast abnormality follow-up: minority, low-income patients' and their providers' view.

Authors:  Celia Patricia Kaplan; Merrill Eisenberg; Pamela I Erickson; Lori A Crane; Susan Duffey
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6.  Do follow-up recommendations for abnormal Papanicolaou smears influence patient adherence?

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7.  A qualitative study of factors affecting chemotherapy use in older women with breast cancer: barriers, promoters, and implications for intervention.

Authors:  Barbara Kreling; Melissa I Figueiredo; Vanessa L Sheppard; Jeanne S Mandelblatt
Journal:  Psychooncology       Date:  2006-12       Impact factor: 3.894

8.  Abnormal Pap smear follow-up in a high-risk population.

Authors:  L P Engelstad; S L Stewart; B H Nguyen; K L Bedeian; M M Rubin; R J Pasick; R A Hiatt
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2001-10       Impact factor: 4.254

9.  Literacy, race, and PSA level among low-income men newly diagnosed with prostate cancer.

Authors:  Michael S Wolf; Sara J Knight; E Allison Lyons; Ramón Durazo-Arvizu; Simon A Pickard; Adnan Arseven; Ahsan Arozullah; Kathleen Colella; Paul Ray; Charles L Bennett
Journal:  Urology       Date:  2006-07       Impact factor: 2.649

10.  Racial differences in trust and lung cancer patients' perceptions of physician communication.

Authors:  Howard S Gordon; Richard L Street; Barbara F Sharf; P Adam Kelly; Julianne Souchek
Journal:  J Clin Oncol       Date:  2006-02-20       Impact factor: 44.544

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  43 in total

1.  Conversations about Abnormal Mammograms on Distress and Timely Follow-up Across Ethnicity.

Authors:  Yamile Molina; Shirley A A Beresford; Tara Hayes Constant; Beti Thompson
Journal:  J Cancer Educ       Date:  2017-06       Impact factor: 2.037

2.  Disparities in the survivorship experience among Latina survivors of breast cancer.

Authors:  Tinuke O Olagunju; Yihang Liu; Li-Jung Liang; James M Stomber; Jennifer J Griggs; Patricia A Ganz; Amardeep Thind; Rose C Maly
Journal:  Cancer       Date:  2018-04-06       Impact factor: 6.860

3.  Predictors of adherence to follow-up recommendations after an abnormal Pap smear among underserved inner-city women.

Authors:  Suzanne M Miller; Erin K Tagai; Kuang-Yi Wen; Minsun Lee; Siu-Kuen Azor Hui; Deirdre Kurtz; John Scarpato; Enrique Hernandez
Journal:  Patient Educ Couns       Date:  2017-01-31

4.  Strategies African-American Cancer Survivors Use to Overcome Fears and Fatalistic Attitudes.

Authors:  Jill B Hamilton; Nakia C Best; Kayoll V Galbraith; Valarie C Worthy; L T C Angelo D Moore
Journal:  J Cancer Educ       Date:  2015-12       Impact factor: 2.037

5.  Clinic type and patient characteristics affecting time to resolution after an abnormal cancer-screening exam.

Authors:  Jessica L Krok-Schoen; Michelle L Kurta; Rory C Weier; Greg S Young; Autumn B Carey; Cathy M Tatum; Electra D Paskett
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2014-10-13       Impact factor: 4.254

6.  Cancer Care for All? Tales of Caring for Undocumented Patients with Cancer.

Authors:  Coral Olazagasti; Narjust Duma
Journal:  Oncologist       Date:  2020-05-26

7.  Barriers to health care contribute to delays in follow-up among women with abnormal cancer screening: Data from the Patient Navigation Research Program.

Authors:  Ambili Ramachandran; Frederick R Snyder; Mira L Katz; Julie S Darnell; Donald J Dudley; Steven R Patierno; Mechelle R Sanders; Patricia A Valverde; Melissa A Simon; Victoria Warren-Mears; Tracy A Battaglia
Journal:  Cancer       Date:  2015-08-19       Impact factor: 6.860

8.  Patient Navigation in Medically Underserved Areas study design: A trial with implications for efficacy, effect modification, and full continuum assessment.

Authors:  Yamile Molina; Anne E Glassgow; Sage J Kim; Nerida M Berrios; Heather Pauls; Karriem S Watson; Julie S Darnell; Elizabeth A Calhoun
Journal:  Contemp Clin Trials       Date:  2016-12-08       Impact factor: 2.226

9.  Predictors of resolution in navigated patients with abnormal cancer screening tests.

Authors:  Paul L Reiter; Mira L Katz; Gregory S Young; Electra D Paskett
Journal:  J Community Support Oncol       Date:  2014-12

10.  Follow-up and timeliness after an abnormal cancer screening among underserved, urban women in a patient navigation program.

Authors:  Talar W Markossian; Julie S Darnell; Elizabeth A Calhoun
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2012-10       Impact factor: 4.254

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