Literature DB >> 35654300

Trends in Healthcare Expenditures among Adults in the United States by Cancer Diagnosis Status, 2008-2016: A Cross-Sectional Study.

Shannon L Walker1,2, Joni S Williams2,3, Kaiwei Lu2, Aprill Z Dawson2,3, Leonard E Egede2,3.   

Abstract

BACKGROUND: This study aims to assess trends in direct medical expenditures and indirect costs between adults with and without a prior cancer diagnosis from 2008 to 2016.
METHODS: Nine years of data (2008-2016) from the Medical Expenditure Panel Survey (weighted N = 236,811,875) were used. The outcomes included medical expenditures (total expenditure, inpatient, office-based, medications, outpatient, dental, emergency room visits, home health, other) and health-related missed workdays. The predictor was prior cancer diagnosis. Covariates included demographic characteristics, comorbidities, and calendar year at time of survey completion. Two-part statistical modeling with a combination of binomial and positive distributions was used to estimate medical expenditures and missed workdays. Data were clustered into five timepoints: 2008 to 2009, 2010 to 2011, 2012 to 2013, 2014 to 2015, and 2016.
RESULTS: Eleven percent of the sample (n = 25,005,230) had a prior cancer diagnosis. Compared with those without a prior cancer diagnosis, those with a prior cancer diagnosis had higher mean incremental total expenditures across all years. Between 2008 and 2016, the adjusted annual incremental total expenditures were $3,522 [95% confidence interval (CI), $3,072-$3,972]; office-based visits ($1,085; 95% CI, $990-$1180); inpatient hospitalizations ($810; 95% CI, $627-$992); outpatient appointments ($517; 95% CI, $434-$600); and medications ($409; 95% CI, $295-$523); and health-related missed workdays (0.75; 95% CI, 0.45-1.04) compared with adults without a prior cancer diagnosis.
CONCLUSIONS: Adults with a prior cancer diagnosis had significantly increased healthcare expenditures and health-related missed workdays compared with those with no cancer diagnosis. IMPACT: Our findings highlight the need for increasing strategies to remedy the impact of increasing direct and indirect costs associated with cancer survivorship as the population grows and ages. ©2022 The Authors; Published by the American Association for Cancer Research.

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Year:  2022        PMID: 35654300      PMCID: PMC9348759          DOI: 10.1158/1055-9965.EPI-21-0575

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.090


  35 in total

1.  Psychological distress in long-term survivors of adult-onset cancer: results from a national survey.

Authors:  Karen E Hoffman; Ellen P McCarthy; Christopher J Recklitis; Andrea K Ng
Journal:  Arch Intern Med       Date:  2009-07-27

Review 2.  Modeling Health Care Expenditures and Use.

Authors:  Partha Deb; Edward C Norton
Journal:  Annu Rev Public Health       Date:  2018-01-12       Impact factor: 21.981

3.  Cancer survivors in the United States: prevalence across the survivorship trajectory and implications for care.

Authors:  Janet S de Moor; Angela B Mariotto; Carla Parry; Catherine M Alfano; Lynne Padgett; Erin E Kent; Laura Forsythe; Steve Scoppa; Mark Hachey; Julia H Rowland
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2013-03-27       Impact factor: 4.254

Review 4.  Cancer survivorship and aging : moving the science forward.

Authors:  Keith M Bellizzi; Karen M Mustian; Oxana G Palesh; Michael Diefenbach
Journal:  Cancer       Date:  2008-12-15       Impact factor: 6.860

5.  Trends in Obesity and Medical Expenditure among Women with Diabetes, 2008-2016: Differences by Race/Ethnicity.

Authors:  Joni S Williams; Kaiwei Lu; Olaitan Akinboboye; Oluwatoyin Olukotun; Zhipeng Zhou; Sneha Nagavally; Leonard E Egede
Journal:  Ethn Dis       Date:  2020-09-24       Impact factor: 1.847

6.  Financial Hardship Associated With Cancer in the United States: Findings From a Population-Based Sample of Adult Cancer Survivors.

Authors:  K Robin Yabroff; Emily C Dowling; Gery P Guy; Matthew P Banegas; Amy Davidoff; Xuesong Han; Katherine S Virgo; Timothy S McNeel; Neetu Chawla; Danielle Blanch-Hartigan; Erin E Kent; Chunyu Li; Juan L Rodriguez; Janet S de Moor; Zhiyuan Zheng; Ahmedin Jemal; Donatus U Ekwueme
Journal:  J Clin Oncol       Date:  2015-12-07       Impact factor: 44.544

7.  Cancer treatment and survivorship statistics, 2016.

Authors:  Kimberly D Miller; Rebecca L Siegel; Chun Chieh Lin; Angela B Mariotto; Joan L Kramer; Julia H Rowland; Kevin D Stein; Rick Alteri; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2016-06-02       Impact factor: 508.702

Review 8.  Depression and anxiety in long-term cancer survivors compared with spouses and healthy controls: a systematic review and meta-analysis.

Authors:  Alex J Mitchell; David W Ferguson; John Gill; Jim Paul; Paul Symonds
Journal:  Lancet Oncol       Date:  2013-06-05       Impact factor: 41.316

9.  Ten-year cardiovascular risk among cancer survivors: The National Health and Nutrition Examination Survey.

Authors:  Xiaochen Zhang; Meghan Pawlikowski; Susan Olivo-Marston; Karen Patricia Williams; Julie K Bower; Ashley S Felix
Journal:  PLoS One       Date:  2021-03-04       Impact factor: 3.240

Review 10.  Information bias in health research: definition, pitfalls, and adjustment methods.

Authors:  Alaa Althubaiti
Journal:  J Multidiscip Healthc       Date:  2016-05-04
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