Literature DB >> 33625624

Adjusted productivity costs of stroke by human capital and friction cost methods: a Northern Finland Birth Cohort 1966 study.

Ina Rissanen1,2,3, Leena Ala-Mursula4, Iiro Nerg5, Marko Korhonen5.   

Abstract

BACKGROUND: Productivity costs result from loss of paid and unpaid work and replacements due to morbidity and mortality. They are usually assessed in health economic evaluations with human capital method (HCM) or friction cost method (FCM). The methodology for estimating lost productivity is an area of considerable debate.
OBJECTIVE: To compare traditional and adjusted HCM and FCM productivity cost estimates among young stroke patients.
METHODS: The Northern Finland Birth Cohort 1966 was followed until the age of 50 to identify all 339 stroke patients whose productivity costs were estimated with traditional, occupation-specific and adjusted HCM and FCM models by using detailed, national register-based data on care, disability, mortality, education, taxation and labour market.
RESULTS: Compared to traditional HCM, taking into account occupational class, national unemployment rate, disability-free life expectancy and decline in work ability, the productivity cost estimate decreased by a third, from €255,960 to €166,050. When traditional FCM was adjusted for occupational class and national unemployment rate, the estimate more than doubled from €3,040 to €7,020. HCM was more sensitive to adjustments for discount rate and wage growth rate than FCM.
CONCLUSIONS: This study highlights the importance of adjustments of HCM and FCM. Routine register-based data can be used for accurate productivity cost estimates of health shocks.

Entities:  

Keywords:  Cohort study; Friction cost method; Human capital method; Productivity costs; Stroke

Year:  2021        PMID: 33625624     DOI: 10.1007/s10198-021-01271-7

Source DB:  PubMed          Journal:  Eur J Health Econ        ISSN: 1618-7598


  16 in total

1.  The valuation of productivity costs due to premature mortality: a comparison of the human-capital and friction-cost methods for schizophrenia.

Authors:  R Goeree; B J O'Brien; G Blackhouse; K Agro; P Goering
Journal:  Can J Psychiatry       Date:  1999-06       Impact factor: 4.356

2.  Association Between Costs Related to Productivity Loss and Modified Risk Factors Among Users of the Brazilian National Health System.

Authors:  Monique Yndawe Castanho Araujo; Flávia Mori Sarti; Rômulo Araújo Fernandes; Henrique Luiz Monteiro; Bruna Camilo Turi; Nana Anokye; Jamile Sanches Codogno
Journal:  J Occup Environ Med       Date:  2017-03       Impact factor: 2.162

Review 3.  A literature review of indirect costs associated with stroke.

Authors:  Heesoo Joo; Mary G George; Jing Fang; Guijing Wang
Journal:  J Stroke Cerebrovasc Dis       Date:  2014-06-21       Impact factor: 2.136

4.  Valuing productivity costs using the friction-cost approach: Estimating friction-period estimates by occupational classifications for the UK.

Authors:  Jesse Kigozi; Sue Jowett; Martyn Lewis; Pelham Barton; Joanna Coast
Journal:  Health Econ       Date:  2017-04-27       Impact factor: 3.046

Review 5.  Friction Cost Estimates of Productivity Costs in Cost-of-Illness Studies in Comparison with Human Capital Estimates: A Review.

Authors:  Jamison Pike; Scott D Grosse
Journal:  Appl Health Econ Health Policy       Date:  2018-12       Impact factor: 2.561

6.  Some adjustments to the human capital and the friction cost methods.

Authors:  Antonis Targoutzidis
Journal:  Eur J Health Econ       Date:  2018-03-21

7.  Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study.

Authors:  Karen Barnett; Stewart W Mercer; Michael Norbury; Graham Watt; Sally Wyke; Bruce Guthrie
Journal:  Lancet       Date:  2012-05-10       Impact factor: 79.321

Review 8.  Estimating productivity costs using the friction cost approach in practice: a systematic review.

Authors:  Jesse Kigozi; Sue Jowett; Martyn Lewis; Pelham Barton; Joanna Coast
Journal:  Eur J Health Econ       Date:  2014-11-12

9.  Trends in Diagnosis-Specific Work Disability Before and After Stroke: A Longitudinal Population-Based Study in Sweden.

Authors:  Tea Lallukka; Jenni Ervasti; Erik Lundström; Ellenor Mittendorfer-Rutz; Emilie Friberg; Marianna Virtanen; Kristina Alexanderson
Journal:  J Am Heart Assoc       Date:  2018-01-04       Impact factor: 5.501

10.  Productivity burden of smoking in Australia: a life table modelling study.

Authors:  Alice J Owen; Salsabil B Maulida; Ella Zomer; Danny Liew
Journal:  Tob Control       Date:  2018-07-16       Impact factor: 7.552

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  1 in total

1.  Cost-effectiveness analysis of rituximab versus natalizumab in patients with relapsing remitting multiple sclerosis.

Authors:  Mehdi Rezaee; Mohammad Hossein Morowvat; Maryam Poursadeghfard; Armin Radgoudarzi; Khosro Keshavarz
Journal:  BMC Health Serv Res       Date:  2022-01-28       Impact factor: 2.655

  1 in total

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