Literature DB >> 21919541

Early retirement and income loss in patients with early and advanced Parkinson's disease.

Scott Johnson1, Matthew Davis, Anna Kaltenboeck, Howard Birnbaum, Elizabeth Grubb, Marcy Tarrants, Andrew Siderowf.   

Abstract

BACKGROUND: The indirect costs of Parkinson's disease (PD) may be larger than direct healthcare costs, and the largest component of indirect costs is income loss related to early retirement. No recent retrospective analysis details PD-related early retirement and income loss in the US.
OBJECTIVE: We used an observational, matched cohort to study wages and labour force participation over 4 years and to simulate lifetime income losses conditional on being newly diagnosed with PD (naive) or having evidence of increasing disability.
METHODS: Actively employed primary beneficiaries of private insurance policies aged 18-64 years with more than two PD diagnoses (International Classification of Diseases, Ninth Revision, Clinical Modification [ICD-9-CM]: 332.x) or one diagnosis and a prescription of an antiparkinsonian drug were selected from a privately insured claims database. Continuous health coverage during analysis periods was required. Naive patients were defined as having no claims history indicative of PD during the year prior to first diagnosis or prescription use. A PD with ambulatory assistance devices (PDAAD) cohort was also followed from the date of first evidence of a wheelchair or walker. Controls without PD were matched on age, sex and region. Survival analysis and Wilcoxon rank sum tests were used to compare rates of early retirement and income loss. A simulation of projected economic loss was conducted for PD cohorts diagnosed at different ages using Bureau of Labor Statistics labour force participation and income data.
RESULTS: Naive PD patients (n = 278) and PDAAD patients (n = 28) were on average aged 53 years and had significantly higher rates of co-morbidities at baseline versus controls. Conditional on being employed, there was no statistical difference in earnings. However, the hazard of early retirement associated with PD was 2.08 (p < 0.001) for the naive cohort and 5.01 (p < 0.001) for the PDAAD cohort. From age 40 to 79 years, earnings losses in year 2009 values were $US569 393, $US188 590, $US35 496 and $US2451 for those diagnosed at age 45, 55, 65 and 75 years, respectively. Estimates increased by 9% to 37% when using expected 2018 labour force participation estimates.
CONCLUSIONS: The cost of early retirement associated with patients with PD was substantial. Given that the proportion of Americans participating in the labour force in older age groups is expected to increase, PD-related early retirement costs will likely rise.

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Year:  2011        PMID: 21919541     DOI: 10.2165/11596900-000000000-00000

Source DB:  PubMed          Journal:  Appl Health Econ Health Policy        ISSN: 1175-5652            Impact factor:   2.561


  8 in total

1.  Costs of Parkinson's disease in a privately insured population.

Authors:  Scott J Johnson; Anna Kaltenboeck; Melissa Diener; Howard G Birnbaum; Elizabeth Grubb; Jane Castelli-Haley; Andrew D Siderowf
Journal:  Pharmacoeconomics       Date:  2013-09       Impact factor: 4.981

Review 2.  Systematic Review and Critical Analysis of Cost Studies Associated with Parkinson's Disease.

Authors:  Tânia M Bovolenta; Sônia Maria Cesar de Azevedo Silva; Roberta Arb Saba; Vanderci Borges; Henrique Ballalai Ferraz; Andre C Felicio
Journal:  Parkinsons Dis       Date:  2017-03-05

3.  Impact of Myeloproliferative neoplasms on patients' employment status and work productivity in the United States: results from the living with MPNs survey.

Authors:  Jingbo Yu; Shreekant Parasuraman; Dilan Paranagama; Andrew Bai; Ahmad Naim; David Dubinski; Ruben Mesa
Journal:  BMC Cancer       Date:  2018-04-13       Impact factor: 4.430

4.  Genetic and Environmental Factors Contributing to Parkinson's Disease: A Case-Control Study in the Cypriot Population.

Authors:  Andrea Georgiou; Christiana A Demetriou; Yiolanda P Christou; Alexandros Heraclides; Eleni Leonidou; Panayiotis Loukaides; Elena Yiasoumi; Marios Pantziaris; Kleopas A Kleopa; Savvas S Papacostas; Maria A Loizidou; Andreas Hadjisavvas; Eleni Zamba-Papanicolaou
Journal:  Front Neurol       Date:  2019-10-17       Impact factor: 4.003

5.  Use of a medication-based algorithm to identify advanced Parkinson's disease in administrative claims data: Associations with claims-based indicators of disease severity.

Authors:  Nabila Dahodwala; Amy R Pettit; Jordan Jahnke; Pengxiang Li; Vrushabh P Ladage; Prasanna L Kandukuri; Jorge Zamudio; Yash J Jalundhwala; Jalpa A Doshi
Journal:  Clin Park Relat Disord       Date:  2020-02-26

6.  A Patient-Based Needs Assessment for Living Well with Parkinson Disease: Implementation via Nominal Group Technique.

Authors:  Galit Kleiner-Fisman; Pearl Gryfe; Gary Naglie
Journal:  Parkinsons Dis       Date:  2013-02-17

Review 7.  Active aging for individuals with Parkinson's disease: definitions, literature review, and models.

Authors:  Seyed-Mohammad Fereshtehnejad; Johan Lökk
Journal:  Parkinsons Dis       Date:  2014-08-25

8.  A Cross-Sectional Study on Socioeconomic Systems Supporting Outpatients With Parkinson's Disease in Japan.

Authors:  Aiko Matsushima; Akihisa Matsumoto; Fumio Moriwaka; Sanae Honma; Kazunori Itoh; Keiko Yamada; Shun Shimohama; Hirofumi Ohnishi; Junichi Matsushima; Mitsuru Mori
Journal:  J Epidemiol       Date:  2015-12-05       Impact factor: 3.211

  8 in total

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