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Gilmore N, Grant SJ, Bethea TN, Schiaffino MK, Klepin HD, Dale W, Hardi A, Mandelblatt J, Mohile S. A scoping review of racial, ethnic, socioeconomic, and geographic disparities in the outcomes of older adults with cancer. J Am Geriatr Soc 2024; 72:1867-1900. [PMID: 38593225 PMCID: PMC11187671 DOI: 10.1111/jgs.18881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Accepted: 02/14/2024] [Indexed: 04/11/2024]
Abstract
INTRODUCTION Cancer health disparities are widespread. Nevertheless, the disparities in outcomes among diverse survivors of cancer ages 65 years and older ("older") have not been systematically evaluated. METHODS We conducted a scoping review of original research articles published between January 2016 and September 2023 and indexed in Medline (Ovid), Embase, Scopus, and CINAHL databases. We included studies evaluating racial, ethnic, socioeconomic disadvantaged, geographic, sexual and gender, and/or persons with disabilities disparities in treatment, survivorship, and mortality among older survivors of cancer. We excluded studies with no a priori aims related to a health disparity, review articles, conference proceedings, meeting abstracts, studies with unclear methodologies, and articles in which the disparity group was examined only as an analytic covariate. Two reviewers independently extracted data following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis reporting guidelines. RESULTS After searching and removing duplicates, 2573 unique citations remained and after screening 59 articles met the inclusion criteria. Many investigated more than one health disparity, and most focused on racial and ethnic (n = 44) or socioeconomic (n = 25) disparities; only 10 studies described geographic disparities, and none evaluated disparities in persons with disabilities or due to sexual and gender identity. Research investigating disparities in outcomes among diverse older survivors of cancer is increasing gradually-68% of eligible articles were published between 2020 and 2023. Most studies focused on the treatment phase of care (n = 28) and mortality (n = 26), with 16 examined disparities in survivorship, symptoms, or quality of life. Most research was descriptive and lacked analyses of potential underlying mechanisms contributing to the reported disparities. CONCLUSION Little research has evaluated the effect of strategies to reduce health disparities among older patients with cancer. This lack of evidence perpetuates cancer inequities and leaves the cancer care system ill equipped to address the unique needs of the rapidly growing and increasingly diverse older adult cancer population.
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Cockrell DC, Deal AM, Damone EM, Muss HB, Brenizer A, Nyrop KA. Emergency department visits and hospitalizations in older women treated for early stage breast cancer. J Geriatr Oncol 2023; 14:101425. [PMID: 36669420 DOI: 10.1016/j.jgo.2023.101425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 11/23/2022] [Accepted: 01/03/2023] [Indexed: 01/20/2023]
Abstract
INTRODUCTION Older patients with cancer often require acute care treatment through emergency department (ED) visits and hospitalizations. This study investigates acute care utilization through ED visits and hospitalizations during treatment and in the two years following the completion of primary treatment for early stage breast cancer (EBC) in women aged 65 and older. MATERIALS AND METHODS A retrospective analysis including descriptive statistics, univariate analysis, and relative risk analysis of 256 women with EBC was performed through medical record review of demographics, comorbidities, disease characteristics, treatment details, and causes of hospitalizations and ED visits. RESULTS Both hospitalizations and ED visits were significantly more frequent for patients in the post-primary treatment period compared to during treatment (hospitalizations: 22% post-primary treatment vs 13% during treatment, 95% confidence interval [CI] of true difference = 2.5%-15.5; ED visits: 21% post-primary treatment vs 10% during treatment, 95% CI of true difference = 4.8%-17.2%). Both hospitalizations (79% versus 32%, 95% CI of true difference = 28.7%-65.3%) and ED visits (42% versus 12%, 95% CI of true difference = 9.1%-50.9%) were more often breast cancer related during primary treatment compared to following treatment. Following treatment, EBC related hospitalizations were most often for disease progression (42%) and EBC related ED visits were most often for post-systemic therapy complications (43%). Significant predictors for EBC related hospitalizations in the two years following treatment included stage III disease (relative risk [RR] = 8.77, 95% CI = 2.50-30.82), having underwent mastectomy (RR = 12.51, 95% CI = 2.91-53.78), and having received chemotherapy (RR = 3.95, 95% CI = 1.18-13.23). However, chemotherapy does not appear to be a significant predictor for hospitalization when controlling for stage III disease (RR = 2.22, 95% CI = 0.61-8.05), whereas stage III disease remains a significant risk factor when controlling for chemotherapy (RR = 6.09, 95% CI = 1.58-23.52). DISCUSSION Our findings suggests that stage III disease, undergoing mastectomy, and chemotherapy treatment predict higher likelihood of EBC related hospitalization following primary treatment in older EBC patients, with stage III disease likely the strongest risk factor.
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Affiliation(s)
- Dillon C Cockrell
- Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Allison M Deal
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Emily M Damone
- Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Hyman B Muss
- Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA; Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Addison Brenizer
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Kirsten A Nyrop
- Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA; Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
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Tran PB, Kazibwe J, Nikolaidis GF, Linnosmaa I, Rijken M, van Olmen J. Costs of multimorbidity: a systematic review and meta-analyses. BMC Med 2022; 20:234. [PMID: 35850686 PMCID: PMC9295506 DOI: 10.1186/s12916-022-02427-9] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2021] [Accepted: 06/06/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Multimorbidity is a rising global phenomenon, placing strains on countries' population health and finances. This systematic review provides insight into the costs of multimorbidity through addressing the following primary and secondary research questions: What evidence exists on the costs of multimorbidity? How do costs of specific disease combinations vary across countries? How do multimorbidity costs vary across disease combinations? What "cost ingredients" are most commonly included in these multimorbidity studies? METHODS We conducted a systematic review (PROSPERO: CRD42020204871) of studies published from January 2010 to January 2022, which reported on costs associated with combinations of at least two specified conditions. Systematic string-based searches were conducted in MEDLINE, The Cochrane Library, SCOPUS, Global Health, Web of Science, and Business Source Complete. We explored the association between costs of multimorbidity and country Gross Domestic Product (GDP) per capita using a linear mixed model with random intercept. Annual mean direct medical costs per capita were pooled in fixed-effects meta-analyses for each of the frequently reported dyads. Costs are reported in 2021 International Dollars (I$). RESULTS Fifty-nine studies were included in the review, the majority of which were from high-income countries, particularly the United States. (1) Reported annual costs of multimorbidity per person ranged from I$800 to I$150,000, depending on disease combination, country, cost ingredients, and other study characteristics. (2) Our results further demonstrated that increased country GDP per capita was associated with higher costs of multimorbidity. (3) Meta-analyses of 15 studies showed that on average, dyads which featured Hypertension were among the least expensive to manage, with the most expensive dyads being Respiratory and Mental Health condition (I$36,840), Diabetes and Heart/vascular condition (I$37,090), and Cancer and Mental Health condition in the first year after cancer diagnosis (I$85,820). (4) Most studies reported only direct medical costs, such as costs of hospitalization, outpatient care, emergency care, and drugs. CONCLUSIONS Multimorbidity imposes a large economic burden on both the health system and society, most notably for patients with cancer and mental health condition in the first year after cancer diagnosis. Whether the cost of a disease combination is more or less than the additive costs of the component diseases needs to be further explored. Multimorbidity costing studies typically consider only a limited number of disease combinations, and few have been conducted in low- and middle-income countries and Europe. Rigorous and standardized methods of data collection and costing for multimorbidity should be developed to provide more comprehensive and comparable evidence for the costs of multimorbidity.
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Affiliation(s)
- Phuong Bich Tran
- Department of Family Medicine and Population Health, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium.
| | - Joseph Kazibwe
- Department of Clinical Sciences, Faculty of Medicine, Lund University, Lund, Sweden.,Department of Global Health, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, UK
| | | | - Ismo Linnosmaa
- Department of Health and Social Management, University of Eastern Finland, Kuopio, Finland
| | - Mieke Rijken
- Department of Health and Social Management, University of Eastern Finland, Kuopio, Finland.,Netherlands Institute for Health Services Research, Utrecht, The Netherlands
| | - Josefien van Olmen
- Department of Family Medicine and Population Health, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
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Pinheiro LC, Soroka O, Kern LM, Leonard JP, Safford MM. Racial Disparities in Diabetes-Related Emergency Department Visits and Hospitalizations Among Cancer Survivors. JCO Oncol Pract 2022; 18:e1023-e1033. [PMID: 35133858 PMCID: PMC9797245 DOI: 10.1200/op.21.00684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
PURPOSE Black and Hispanic individuals with diabetes receive less recommended diabetes care after cancer diagnosis than non-Hispanic Whites (NHW). We sought to determine whether racial/ethnic minorities with diabetes and cancer were at increased risk of diabetes-related emergency department (ED) visits and hospitalizations compared with NHW. METHODS Using SEER cancer registry data linked to Medicare claims from 2006 to 2014, we included Medicare beneficiaries age 66+ years diagnosed with incident nonmetastatic breast, prostate, or colorectal cancer between 2007 and 2012 who had diabetes. Our primary outcome was any diabetes-related ED visit or hospitalization 366-731 days after cancer diagnosis. Using Fine-Gray subdistribution hazard models, we examined whether risk of ED visits or hospitalizations was higher for racial/ethnic minorities compared with NHW. RESULTS We included 40,059 beneficiaries with mean age 75.5 years (standard deviation 6.3), 45.6% were women, and 28.9% were non-White. Overall, 825 (2.1%) had an ED visit and 3,324 (8.3%) had a hospitalization related to diabetes in the 366-731 days after cancer diagnosis. Compared with NHW, Black individuals were more likely to have ED visits (2.9% v 2.0%; P < .0001) and hospitalizations (11.7% v 7.8%; P < .0001). Adjusting for potential confounders, Black (adjusted hazard ratio, 1.22; 95% CI, 1.12 to 1.35) individuals had a higher risk of any ED visit or hospitalization compared with NHW. CONCLUSION Black individuals with diabetes and cancer were at increased risk for diabetes-related ED visits and hospitalizations in the second year after cancer diagnosis compared with NHW even after accounting for confounders.
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Affiliation(s)
- Laura C. Pinheiro
- Division of General Internal Medicine, Department of Medicine, Weill Cornell Medicine, New York, NY,Laura C. Pinheiro, PhD, MPH, Division of General Internal Medicine Weill Cornell Medicine, 420 East 70th St, 3rd Floor (LH359), New York, NY 10021; e-mail:
| | - Orysya Soroka
- Division of General Internal Medicine, Department of Medicine, Weill Cornell Medicine, New York, NY
| | - Lisa M. Kern
- Division of General Internal Medicine, Department of Medicine, Weill Cornell Medicine, New York, NY
| | - John P. Leonard
- Division of Hematology and Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY
| | - Monika M. Safford
- Division of General Internal Medicine, Department of Medicine, Weill Cornell Medicine, New York, NY
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Unger JM, Moseley AB, Cheung CK, Osarogiagbon RU, Symington B, Ramsey SD, Hershman DL. Persistent Disparity: Socioeconomic Deprivation and Cancer Outcomes in Patients Treated in Clinical Trials. J Clin Oncol 2021; 39:1339-1348. [PMID: 33729825 PMCID: PMC8078474 DOI: 10.1200/jco.20.02602] [Citation(s) in RCA: 64] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Patients with cancer living in socioeconomically disadvantaged areas have worse cancer outcomes. The association between socioeconomic deprivation and outcomes among patients with cancer participating in clinical trials has not been systematically examined.
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Affiliation(s)
- Joseph M Unger
- SWOG Statistics and Data Management Center, Seattle, WA.,Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Anna B Moseley
- SWOG Statistics and Data Management Center, Seattle, WA.,Fred Hutchinson Cancer Research Center, Seattle, WA
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Accordino MK, Wright JD, Buono D, Lin A, Huang Y, Neugut AI, Hillyer GC, Hershman DL. Incidence and Predictors of Diabetes Mellitus after a Diagnosis of Early-Stage Breast Cancer in the Elderly Using Real-World Data. Breast Cancer Res Treat 2020; 183:201-211. [PMID: 32591988 PMCID: PMC8403515 DOI: 10.1007/s10549-020-05756-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2020] [Accepted: 06/16/2020] [Indexed: 12/11/2022]
Abstract
PURPOSE The incidence and predictors of diabetes (DM) in patients with breast cancer (BC) were evaluated. We compared DM incidence and physician access in BC patients to matched controls. METHODS We identified women with stage I-III BC diagnosed from 2005 to 2013 in the SEER-Medicare database, with ≥ 2 years of follow-up after diagnosis, without previous DM claims. Incident DM was determined by ≥ 1 DM claims after BC diagnosis. Multivariable analysis was used to identify factors associated with incident DM. Age- and race-matched non-cancer controls were obtained from a 5% random sample and assigned an index date. Physician and PCP visits per-patient-per-year were compared between cases and controls in the two-year period prior to and after the index date. RESULTS Among 14,506 eligible BC patients, 3234 (22.3%) developed DM versus 16.5% of controls. Among BC patients, factors associated with incident DM included race (Black OR 1.63 95% CI 1.39-1.93, Hispanic OR 3.03 95% CI 1.92-4.81; vs. Caucasians), SES (Quintile 0 vs. Quintile 4 OR 1.55 95% CI 1.33-1.78), and receipt of chemotherapy (vs. none OR 1.19 95% CI 1.08-1.31). Among cases and controls, respectively, median physician visits per-patient-per-year were 19 and 17 prior to the index date, and 46 and 19 after the index date; median PCP visits were 2 for both groups in both periods. CONCLUSION About 22% of BC patients developed DM, more than controls in the same period. While there were differences in healthcare access, there weren't differences in PCP access between groups. This represents an opportunity for better comorbidity management in BC patients.
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Affiliation(s)
- Melissa K Accordino
- Department of Medicine, Columbia University College of Physicians and Surgeons, New York, NY, USA.
- Herbert Irving Comprehensive Cancer Center, Columbia University College of Physicians and Surgeons, New York, NY, USA.
| | - Jason D Wright
- Herbert Irving Comprehensive Cancer Center, Columbia University College of Physicians and Surgeons, New York, NY, USA
- Department of Obstetrics and Gynecology, Columbia University College of Physicians and Surgeons, New York, NY, USA
| | - Donna Buono
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Aijing Lin
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Yongmei Huang
- Department of Obstetrics and Gynecology, Columbia University College of Physicians and Surgeons, New York, NY, USA
| | - Alfred I Neugut
- Department of Medicine, Columbia University College of Physicians and Surgeons, New York, NY, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University College of Physicians and Surgeons, New York, NY, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Grace C Hillyer
- Herbert Irving Comprehensive Cancer Center, Columbia University College of Physicians and Surgeons, New York, NY, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Dawn L Hershman
- Department of Medicine, Columbia University College of Physicians and Surgeons, New York, NY, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University College of Physicians and Surgeons, New York, NY, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
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