Literature DB >> 23401438

Quality of care for comorbid conditions during the transition to survivorship: differences between cancer survivors and noncancer controls.

Claire F Snyder1, Kevin D Frick, Robert J Herbert, Amanda L Blackford, Bridget A Neville, Antonio C Wolff, Michael A Carducci, Craig C Earle.   

Abstract

PURPOSE: Building on previous research documenting differences in preventive care quality between cancer survivors and noncancer controls, this study examines comorbid condition care.
METHODS: Using data from the Surveillance, Epidemiology, and End Results (SEER) -Medicare database, we examined comorbid condition quality of care in patients with locoregional breast, prostate, or colorectal cancer diagnosed in 2004 who were age ≥ 66 years at diagnosis, who had survived ≥ 3 years, and who were enrolled in fee-for-service Medicare. Controls were frequency matched to cases on age, sex, race, and region. Quality of care was assessed from day 366 through day 1,095 postdiagnosis using published indicators of chronic (n = 10) and acute (n = 19) condition care. The proportion of eligible cancer survivors and controls who received recommended care was compared by using Fisher's exact tests. The chronic and acute indicators, respectively, were then combined into single logistic regression models for each cancer type to compare survivors' care receipt to that of controls, adjusting for clinical and sociodemographic variables and controlling for within-patient variation.
RESULTS: The sample matched 8,661 cancer survivors to 17,322 controls (mean age, 75 years; 65% male; 85% white). Colorectal cancer survivors were less likely than controls to receive appropriate care on both the chronic (odds ratio [OR], 0.88; 95% CI, 0.81 to 0.95) and acute (OR, 0.72; 95% CI, 0.61 to 0.85) indicators. Prostate cancer survivors were more likely to receive appropriate chronic care (OR, 1.28; 95% CI, 1.19 to 1.38) but less likely to receive quality acute care (OR, 0.75; 95% CI, 0.65 to 0.87). Breast cancer survivors received care equivalent to controls on both the chronic (OR, 1.06; 95% CI, 0.96 to 1.17) and acute (OR, 0.92; 95% CI, 0.76 to 1.13) indicators.
CONCLUSION: Because we found differences by cancer type, research exploring factors associated with these differences in care quality is needed.

Entities:  

Mesh:

Year:  2013        PMID: 23401438      PMCID: PMC3595422          DOI: 10.1200/JCO.2012.43.0272

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  22 in total

1.  Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases.

Authors:  R A Deyo; D C Cherkin; M A Ciol
Journal:  J Clin Epidemiol       Date:  1992-06       Impact factor: 6.437

2.  A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.

Authors:  M E Charlson; P Pompei; K L Ales; C R MacKenzie
Journal:  J Chronic Dis       Date:  1987

3.  Preventive care in prostate cancer patients: following diagnosis and for five-year survivors.

Authors:  Claire F Snyder; Kevin D Frick; Robert J Herbert; Amanda L Blackford; Bridget A Neville; Michael A Carducci; Craig C Earle
Journal:  J Cancer Surviv       Date:  2011-05-08       Impact factor: 4.442

4.  Health maintenance and screening in breast cancer survivors in the United States.

Authors:  Christine M Duffy; Melissa A Clark; Jenifer E Allsworth
Journal:  Cancer Detect Prev       Date:  2006-02-07

5.  Effect of age and comorbidity in postmenopausal breast cancer patients aged 55 years and older.

Authors:  R Yancik; M N Wesley; L A Ries; R J Havlik; B K Edwards; J W Yates
Journal:  JAMA       Date:  2001-02-21       Impact factor: 56.272

6.  Measuring underuse of necessary care among elderly Medicare beneficiaries using inpatient and outpatient claims.

Authors:  S M Asch; E M Sloss; C Hogan; R H Brook; R L Kravitz
Journal:  JAMA       Date:  2000-11-08       Impact factor: 56.272

7.  Burden of illness in cancer survivors: findings from a population-based national sample.

Authors:  K Robin Yabroff; William F Lawrence; Steven Clauser; William W Davis; Martin L Brown
Journal:  J Natl Cancer Inst       Date:  2004-09-01       Impact factor: 13.506

8.  Under use of necessary care among cancer survivors.

Authors:  Craig C Earle; Bridget A Neville
Journal:  Cancer       Date:  2004-10-15       Impact factor: 6.860

9.  Comorbidity and age as predictors of risk for early mortality of male and female colon carcinoma patients: a population-based study.

Authors:  R Yancik; M N Wesley; L A Ries; R J Havlik; S Long; B K Edwards; J W Yates
Journal:  Cancer       Date:  1998-06-01       Impact factor: 6.860

10.  Quality of non-breast cancer health maintenance among elderly breast cancer survivors.

Authors:  Craig C Earle; Harold J Burstein; Eric P Winer; Jane C Weeks
Journal:  J Clin Oncol       Date:  2003-04-15       Impact factor: 44.544

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  36 in total

1.  Relationship Between Quality of Comorbid Condition Care and Costs for Cancer Survivors.

Authors:  Kevin D Frick; Claire F Snyder; Robert J Herbert; Amanda L Blackford; Bridget A Neville; Antonio C Wolff; Michael A Carducci; Craig C Earle
Journal:  J Oncol Pract       Date:  2016-05-10       Impact factor: 3.840

2.  Health care services use among long-term breast cancer survivors: a systematic review.

Authors:  Anna Jansana; Margarita Posso; Inmaculada Guerrero; Alexandra Prados-Torres; Maria Isabel Del Cura; Xavier Castells; Maria Sala
Journal:  J Cancer Surviv       Date:  2019-04-09       Impact factor: 4.442

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Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2015-06       Impact factor: 4.254

4.  Quality of preventive care before and after prostate cancer diagnosis.

Authors:  Lauren P Wallner; Jeff M Slezak; Virginia P Quinn; Ronald K Loo; Joanne E Schottinger; Roshan Bastani; Steven J Jacobsen
Journal:  J Mens Health       Date:  2015-05-01       Impact factor: 0.537

5.  Impact of diffuse large B-cell lymphoma on visits to different provider specialties among elderly Medicare beneficiaries: challenges for care coordination.

Authors:  Rahul Garg; Usha Sambamoorthi; Xi Tan; Soumit K Basu; Treah Haggerty; Kimberly M Kelly
Journal:  Transl Behav Med       Date:  2018-05-23       Impact factor: 3.046

6.  Ten-Year Trends in Preventive Service Use Before and After Prostate Cancer Diagnosis: A Comparison with Noncancer Controls.

Authors:  Lauren P Wallner; Jeffrey M Slezak; Ronald K Loo; Roshan Bastani; Steven J Jacobsen
Journal:  Perm J       Date:  2017

7.  Chronic disease burden among cancer survivors in the California Behavioral Risk Factor Surveillance System, 2009-2010.

Authors:  Heather P Tarleton; Suzanne Ryan-Ibarra; Marta Induni
Journal:  J Cancer Surviv       Date:  2014-04-09       Impact factor: 4.442

8.  Impact of Prostate Cancer Diagnosis on Noncancer Hospitalizations Among Elderly Medicare Beneficiaries With Incident Prostate Cancer.

Authors:  Amit D Raval; Suresh Madhavan; Malcolm D Mattes; Mohamad Salkini; Usha Sambamoorthi
Journal:  J Natl Compr Canc Netw       Date:  2016-02-05       Impact factor: 11.908

9.  Is bariatric surgery an option for women with gynecologic cancer? Examining weight loss counseling practices and training among gynecologic oncology providers.

Authors:  Robert Neff; Georgia A McCann; Kristen M Carpenter; David E Cohn; Sabrena Noria; Dean Mikami; Bradley J Needleman; David M O'Malley
Journal:  Gynecol Oncol       Date:  2014-06-14       Impact factor: 5.482

10.  Colorectal cancer survivors' needs and preferences for survivorship information.

Authors:  Talya Salz; Shrujal S Baxi; Victoria S Blinder; Elena B Elkin; Margaret M Kemeny; Mary S McCabe; Chaya S Moskowitz; Erin E Onstad; Leonard B Saltz; Larissa K F Temple; Kevin C Oeffinger
Journal:  J Oncol Pract       Date:  2014-06-03       Impact factor: 3.840

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