Literature DB >> 36040661

Productivity Loss and Indirect Costs for Patients Newly Diagnosed with Early- versus Late-Stage Cancer in the USA: A Large-Scale Observational Research Study.

Ze Cong1, Oth Tran2, James Nelson3, Monica Silver3, Karen Chung4.   

Abstract

BACKGROUND: The total economic burden of cancer reflects direct and indirect costs, including productivity loss due to employment change, absenteeism, and presenteeism of patients and caregivers.
OBJECTIVE: This study estimated the magnitude of employment decrease, work absence (WA), short-term disability (STD), long-term disability (LTD), and associated indirect costs among employees newly diagnosed with metastatic versus non-metastatic cancer in the USA.
METHODS: IBM® MarketScan® Commercial Claims and Encounters and Health and Productivity Management databases were used to identify employees aged 18-64 years and newly diagnosed with any cancer from 2009 to 2019. Proportions of patients with employment decrease, WA, STD, and LTD claims, and number of days missing from work were summarized by metastatic status during the first 12 months after diagnosis and the entire follow-up period. Subgroup analyses were conducted by age (< 50 years, ≥ 50 years) and cancer type (breast, lung, colon, pancreatic, and liver cancer).
RESULTS: During the first year after diagnosis, compared to patients without metastases, significantly higher proportions of patients with metastases had employment decrease and STD or LTD claims (p < 0.001). The mean total number of days missing from work for patients with versus without metastases was 33.39 versus 14.91 (ratio = 2.40), 64.05 versus 27.15 (ratio = 2.36), and 105.93 versus 46.29 (ratio = 2.29) days within 3, 6, and 12 months after diagnosis, respectively. Estimates of indirect cost differences between the two groups ranged from $6,877 to $22,283 in the first year.
CONCLUSION: Earlier detection of cancer may reduce productivity loss of patients and indirect costs by initiating treatment before cancer progresses to late stage.
© 2022. The Author(s).

Entities:  

Year:  2022        PMID: 36040661     DOI: 10.1007/s40258-022-00753-w

Source DB:  PubMed          Journal:  Appl Health Econ Health Policy        ISSN: 1175-5652            Impact factor:   3.686


  9 in total

1.  How to present the business case for healthcare quality to employers.

Authors:  Sean Nicholson; Mark V Pauly; Daniel Polsky; Catherine M Baase; Gary M Billotti; Ronald J Ozminkowski; Marc L Berger; Claire E Sharda
Journal:  Appl Health Econ Health Policy       Date:  2005       Impact factor: 2.561

2.  Time costs associated with informal caregiving for cancer survivors.

Authors:  K Robin Yabroff; Youngmee Kim
Journal:  Cancer       Date:  2009-09-15       Impact factor: 6.860

3.  Estimating the cost of cancer: results on the basis of claims data analyses for cancer patients diagnosed with seven types of cancer during 1999 to 2000.

Authors:  Stella Chang; Stacey R Long; Lucie Kutikova; Lee Bowman; Denise Finley; William H Crown; Charles L Bennett
Journal:  J Clin Oncol       Date:  2004-09-01       Impact factor: 44.544

4.  Employment outcomes among survivors of common cancers: the Symptom Outcomes and Practice Patterns (SOAPP) study.

Authors:  A J Tevaarwerk; J W Lee; M E Sesto; K A Buhr; C S Cleeland; J Manola; L I Wagner; V T S Chang; M J Fisch
Journal:  J Cancer Surviv       Date:  2013-02-02       Impact factor: 4.442

5.  Employment implications of informal cancer caregiving.

Authors:  Janet S de Moor; Emily C Dowling; Donatus U Ekwueme; Gery P Guy; Juan Rodriguez; Katherine S Virgo; Xuesong Han; Erin E Kent; Chunyu Li; Kristen Litzelman; Timothy S McNeel; Benmei Liu; K Robin Yabroff
Journal:  J Cancer Surviv       Date:  2016-07-16       Impact factor: 4.442

6.  Estimates and projections of value of life lost from cancer deaths in the United States.

Authors:  K Robin Yabroff; Cathy J Bradley; Angela B Mariotto; Martin L Brown; Eric J Feuer
Journal:  J Natl Cancer Inst       Date:  2008-12-09       Impact factor: 13.506

7.  National and State Estimates of Lost Earnings From Cancer Deaths in the United States.

Authors:  Farhad Islami; Kimberly D Miller; Rebecca L Siegel; Zhiyuan Zheng; Jingxuan Zhao; Xuesong Han; Jiemin Ma; Ahmedin Jemal; K Robin Yabroff
Journal:  JAMA Oncol       Date:  2019-09-12       Impact factor: 31.777

8.  A Systematic Review of the Effect of Cancer Treatment on Work Productivity of Patients and Caregivers.

Authors:  Khalid M Kamal; Jordan R Covvey; Ankur Dashputre; Somraj Ghosh; Surbhi Shah; Monali Bhosle; Christopher Zacker
Journal:  J Manag Care Spec Pharm       Date:  2017-02
  9 in total

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