Literature DB >> 30140972

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

Simon Craddock Lee1,2, Robin T Higashi3, Joanne M Sanders3, Hong Zhu3,4, Stephen J Inrig5, Caroline Mejias3, Keith E Argenbright3,4,6, Jasmin A Tiro3,4.   

Abstract

PURPOSE: Effects of geographic program expansion to rural areas on screening program outcomes are understudied. We sought to determine whether time-to-resolution (TTR) varied significantly by service delivery time period, location, and participant characteristics across 19 North Texas counties.
METHODS: We calculated proportions undergoing diagnostic follow-up and resolved ≤ 60 days. We calculated median TTR for each time period and abnormal result BI-RADS 0, 4, 5. Cox proportional hazards regressions estimated time period and patient characteristic effects on TTR. Wilcoxon rank sum tests evaluated whether TTR differed between women who did or did not transfer between counties for services.
RESULTS: TTR ranged from 14 to 17 days for BI-RADs 0, 4, and 5; 12.4% transferred to a different county, resulting in longer median TTR (26 vs. 16 days; p < .001). Of those completing follow-up, 92% were resolved ≤ 60 days (median 15 days). For BI-RAD 3, TTR was 208 days (including required 180 day waiting period). Follow-up was significantly lower for women with BI-RAD 3 (59% vs. 96%; p < .0001).
CONCLUSION: Expansion maintained timely service delivery, increasing access to screening among rural, uninsured women. Policies adding a separate quality metric for BI-RAD 3 could encourage follow-up monitoring to address lower completion and longer TTR among women with this result.

Entities:  

Keywords:  Breast cancer screening; Quality; Rural; Scale-up

Mesh:

Year:  2018        PMID: 30140972      PMCID: PMC6162097          DOI: 10.1007/s10552-018-1074-4

Source DB:  PubMed          Journal:  Cancer Causes Control        ISSN: 0957-5243            Impact factor:   2.506


  43 in total

1.  County-level outcomes of a rural breast cancer screening outreach strategy: a decentralized hub-and-spoke model (BSPAN2).

Authors:  Simon J Craddock Lee; Robin T Higashi; Stephen J Inrig; Joanne M Sanders; Hong Zhu; Keith E Argenbright; Jasmin A Tiro
Journal:  Transl Behav Med       Date:  2017-06       Impact factor: 3.046

2.  Review: Mammography screening reduces breast cancer mortality in women at average risk.

Authors:  Joann G Elmore
Journal:  Ann Intern Med       Date:  2016-03-15       Impact factor: 25.391

3.  Timeliness of cervical cancer diagnosis and initiation of treatment in the National Breast and Cervical Cancer Early Detection Program.

Authors:  Vicki B Benard; William Howe; Janet Royalty; William Helsel; William Kammerer; Lisa C Richardson
Journal:  J Womens Health (Larchmt)       Date:  2012-04-16       Impact factor: 2.681

4.  Reasons for delay in breast cancer diagnosis.

Authors:  L S Caplan; K J Helzlsouer; S Shapiro; M N Wesley; B K Edwards
Journal:  Prev Med       Date:  1996 Mar-Apr       Impact factor: 4.018

5.  Effects of Patient Navigation on Patient Satisfaction Outcomes.

Authors:  Douglas M Post; Ann Scheck McAlearney; Gregory S Young; Jessica L Krok-Schoen; Jesse J Plascak; Electra D Paskett
Journal:  J Cancer Educ       Date:  2015-12       Impact factor: 2.037

6.  Unifying screening processes within the PROSPR consortium: a conceptual model for breast, cervical, and colorectal cancer screening.

Authors:  Elisabeth F Beaber; Jane J Kim; Marilyn M Schapira; Anna N A Tosteson; Ann G Zauber; Ann M Geiger; Aruna Kamineni; Donald L Weaver; Jasmin A Tiro
Journal:  J Natl Cancer Inst       Date:  2015-05-07       Impact factor: 13.506

7.  Patient navigation improves cancer diagnostic resolution: an individually randomized clinical trial in an underserved population.

Authors:  Peter C Raich; Elizabeth M Whitley; William Thorland; Patricia Valverde; Diane Fairclough
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2012-10       Impact factor: 4.254

8.  Patient navigation significantly reduces delays in breast cancer diagnosis in the District of Columbia.

Authors:  Heather J Hoffman; Nancy L LaVerda; Heather A Young; Paul H Levine; Lisa M Alexander; Rachel Brem; Larisa Caicedo; Jennifer Eng-Wong; Wayne Frederick; William Funderburk; Elmer Huerta; Sandra Swain; Steven R Patierno
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2012-10       Impact factor: 4.254

9.  Timeliness of abnormal screening and diagnostic mammography follow-up at facilities serving vulnerable women.

Authors:  L Elizabeth Goldman; Rod Walker; Rebecca Hubbard; Karla Kerlikowske
Journal:  Med Care       Date:  2013-04       Impact factor: 2.983

10.  Rural oncology: overcoming the tyranny of distance for improved cancer care.

Authors:  Mathew George; Phuong Ngo; Amy Prawira
Journal:  J Oncol Pract       Date:  2014-03-25       Impact factor: 3.840

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  3 in total

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

Authors:  Rasmi G Nair; Simon J Craddock Lee; Emily Berry; Keith E Argenbright; Jasmin A Tiro; Celette Sugg Skinner
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2021-11-08       Impact factor: 4.090

2.  Time to diagnostic resolution after an uncertain screening mammogram in an underserved population.

Authors:  Anita J Kumar; Darcy Banco; Elise E Steinberger; Joanna Chen; RuthAnn Weidner; Shital Makim; Susan K Parsons
Journal:  Cancer Med       Date:  2020-03-11       Impact factor: 4.452

3.  Facilitators of Multisector Collaboration for Delivering Cancer Control Interventions in Rural Communities: A Descriptive Qualitative Study.

Authors:  Peg Allen; Callie Walsh-Bailey; Jean Hunleth; Bobbi J Carothers; Ross C Brownson
Journal:  Prev Chronic Dis       Date:  2022-08-11       Impact factor: 4.354

  3 in total

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