Literature DB >> 22270934

Structural/organizational characteristics of health services partly explain racial variation in timeliness of radiation therapy among elderly breast cancer patients.

Stephanie B Wheeler1, William R Carpenter, Jeffrey Peppercorn, Anna P Schenck, Morris Weinberger, Andrea K Biddle.   

Abstract

Observed racial/ethnic disparities in the process and outcomes of breast cancer care may be explained, in part, by structural/organizational characteristics of health care systems. We examined the role of surgical facility characteristics and distance to care in explaining racial/ethnic variation in timing of initiation of guideline-recommended radiation therapy (RT) after breast conserving surgery (BCS). We used Surveillance Epidemiology and End Results-Medicare data to identify women ages 65 and older diagnosed with stages I-III breast cancer and treated with BCS in 1994-2002. We used stepwise multivariate logistic regression to examine the interactive effects of race/ethnicity and facility profit status, teaching status, size, and institutional affiliations, and distance to nearest RT on timing of RT initiation, controlling for known covariates. Among 38,574 eligible women who received BCS, 39% received RT within 2 months, 52% received RT within 6 months, and 57% received RT within 12 months post-diagnosis, with significant variation by race/ethnicity. In multivariate models, women attending smaller surgical facilities and those with on-site radiation had higher odds of RT at each time interval, and women attending governmental facilities had lower odds of RT at each time interval (P < 0.05). Increasing distance between patients' residence and nearest RT provider was associated with lower overall odds of RT, particularly among Hispanic women (P < 0.05). In fully adjusted models including race-by-distance interaction terms, racial/ethnic disparities disappeared in RT initiation within 6 and 12 months. Racial/ethnic disparities in timing of RT for breast cancer can be partially explained by structural/organizational health system characteristics. Identifying modifiable system-level factors associated with quality cancer care may help us target policy interventions that can reduce disparities in outcomes.

Entities:  

Mesh:

Year:  2012        PMID: 22270934      PMCID: PMC5824428          DOI: 10.1007/s10549-012-1955-2

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  56 in total

1.  Overview of the SEER-Medicare data: content, research applications, and generalizability to the United States elderly population.

Authors:  Joan L Warren; Carrie N Klabunde; Deborah Schrag; Peter B Bach; Gerald F Riley
Journal:  Med Care       Date:  2002-08       Impact factor: 2.983

Review 2.  Race, ethnicity, and disparities in breast cancer: victories and challenges.

Authors:  Nina A Bickell
Journal:  Womens Health Issues       Date:  2002 Sep-Oct

Review 3.  The quality of early-stage breast cancer treatment: what can we do to improve?

Authors:  Nina A Bickell; Jane Mendez; Amber A Guth
Journal:  Surg Oncol Clin N Am       Date:  2005-01       Impact factor: 3.495

4.  Diffusion of breast conserving surgery in medical communities.

Authors:  Bonnie Jerome-D'Emilia; James W Begun
Journal:  Soc Sci Med       Date:  2005-01       Impact factor: 4.634

5.  Racial disparities in cancer therapy: did the gap narrow between 1992 and 2002?

Authors:  Cary P Gross; Benjamin D Smith; Elizabeth Wolf; Martin Andersen
Journal:  Cancer       Date:  2008-02-15       Impact factor: 6.860

6.  Treatment of local breast carcinoma in Florida: the role of the distance to radiation therapy facilities.

Authors:  Lydia Voti; Lisa C Richardson; Isildinha M Reis; Lora E Fleming; Jill Mackinnon; Jan Willem W Coebergh
Journal:  Cancer       Date:  2006-01-01       Impact factor: 6.860

7.  Consultation with a medical oncologist before surgery and type of surgery among elderly women with early-stage breast cancer.

Authors:  Nancy L Keating; Mary Beth Landrum; John Z Ayanian; Eric P Winer; Edward Guadagnoli
Journal:  J Clin Oncol       Date:  2003-12-15       Impact factor: 44.544

8.  Disentangling the effects of race on breast cancer treatment.

Authors:  Mousumi Banerjee; Julie George; Cecilia Yee; William Hryniuk; Kendra Schwartz
Journal:  Cancer       Date:  2007-11-15       Impact factor: 6.860

9.  Patient demographic and socioeconomic characteristics in the SEER-Medicare database applications and limitations.

Authors:  Peter B Bach; Edward Guadagnoli; Deborah Schrag; Nicola Schussler; Joan L Warren
Journal:  Med Care       Date:  2002-08       Impact factor: 2.983

10.  Regionalization of high-risk surgery and implications for patient travel times.

Authors:  John D Birkmeyer; Andrea E Siewers; Nancy J Marth; David C Goodman
Journal:  JAMA       Date:  2003-11-26       Impact factor: 56.272

View more
  22 in total

1.  Breast cancer characteristics and outcomes among Hispanic Black and Hispanic White women.

Authors:  Matthew P Banegas; Christopher I Li
Journal:  Breast Cancer Res Treat       Date:  2012-07-08       Impact factor: 4.872

2.  Regional variation in colorectal cancer testing and geographic availability of care in a publicly insured population.

Authors:  Stephanie B Wheeler; Tzy-Mey Kuo; Ravi K Goyal; Anne-Marie Meyer; Kristen Hassmiller Lich; Emily M Gillen; Seth Tyree; Carmen L Lewis; Trisha M Crutchfield; Christa E Martens; Florence Tangka; Lisa C Richardson; Michael P Pignone
Journal:  Health Place       Date:  2014-07-24       Impact factor: 4.078

Review 3.  Racial disparities, cancer and response to oxidative stress.

Authors:  Jie Zhang; Zhi-Wei Ye; Danyelle M Townsend; Chanita Hughes-Halbert; Kenneth D Tew
Journal:  Adv Cancer Res       Date:  2019-04-23       Impact factor: 6.242

4.  Geographic and population-level disparities in colorectal cancer testing: A multilevel analysis of Medicaid and commercial claims data.

Authors:  Melinda M Davis; Stephanie Renfro; Robyn Pham; Kristen Hassmiller Lich; Jackilen Shannon; Gloria D Coronado; Stephanie B Wheeler
Journal:  Prev Med       Date:  2017-05-13       Impact factor: 4.018

5.  Impact of Travel Time on Health Care Costs and Resource Use by Phase of Care for Older Patients With Cancer.

Authors:  Gabrielle B Rocque; Courtney P Williams; Harold D Miller; Andres Azuero; Stephanie B Wheeler; Maria Pisu; Olivia Hull; Rodney P Rocconi; Kelly M Kenzik
Journal:  J Clin Oncol       Date:  2019-06-11       Impact factor: 44.544

6.  Breast cancer treatment delays by socioeconomic and health care access latent classes in Black and White women.

Authors:  Marc A Emerson; Yvonne M Golightly; Allison E Aiello; Katherine E Reeder-Hayes; Xianming Tan; Ugwuji Maduekwe; Marian Johnson-Thompson; Andrew F Olshan; Melissa A Troester
Journal:  Cancer       Date:  2020-09-21       Impact factor: 6.860

7.  "Taking the Bull by the Horns": Four Principles to Align Public Health, Primary Care, and Community Efforts to Improve Rural Cancer Control.

Authors:  Stephanie B Wheeler; Melinda M Davis
Journal:  J Rural Health       Date:  2017-09-14       Impact factor: 4.333

8.  Association between medical home enrollment and health care utilization and costs among breast cancer patients in a state Medicaid program.

Authors:  Racquel E Kohler; Ravi K Goyal; Kristen Hassmiller Lich; Marisa Elena Domino; Stephanie B Wheeler
Journal:  Cancer       Date:  2015-08-19       Impact factor: 6.860

9.  Distance to a Plastic Surgeon and Type of Insurance Plan Are Independently Predictive of Postmastectomy Breast Reconstruction.

Authors:  Michelle C Roughton; Paul DiEgidio; Lei Zhou; Karyn Stitzenberg; Anne Marie Meyer
Journal:  Plast Reconstr Surg       Date:  2016-08       Impact factor: 4.730

10.  Is medical home enrollment associated with receipt of guideline-concordant follow-up care among low-income breast cancer survivors?

Authors:  Stephanie B Wheeler; Racquel E Kohler; Ravi K Goyal; Kristen H Lich; Ching-Ching Lin; Alexis Moore; Timothy W Smith; Cathy L Melvin; Katherine Reeder-Hayes; Marisa E Domino
Journal:  Med Care       Date:  2013-06       Impact factor: 2.983

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.