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Making Implicit Assumptions Explicit in the Costing of Informal Care: The Case of Head and Neck Cancer in Ireland

Overview of attention for article published in PharmacoEconomics, February 2017
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Title
Making Implicit Assumptions Explicit in the Costing of Informal Care: The Case of Head and Neck Cancer in Ireland
Published in
PharmacoEconomics, February 2017
DOI 10.1007/s40273-017-0490-8
Pubmed ID
Authors

Paul Hanly, Rebecca Maguire, Myles Balfe, Eleanor O’Sullivan, Linda Sharp

Abstract

From a health service perspective, informal care is often viewed as a potentially cost-effective way of transferring costs out of the formal healthcare sector. However, informal care is not a free resource. Our objective was to assess the impact of alternative valuation methods and key assumptions on the cost of informal care. Informal carers who assisted in the care of a head and neck cancer survivor for at least 1 year were sent a postal questionnaire during January-June 2014 requesting information on time spent on caring tasks in the month prior to the survey. Time was costed using the opportunity cost approach (OCA; base-case) and the generalist (GRCA) and specialist (SRCA) replacement cost approaches. The impact on results of how household work and informal carers not in paid employment are treated were investigated. We estimated a cost of €20,613 annually in the base case (OCA - mean wage) for informal care. The GRCA and SRCA equivalent costs were 36% (€13,196) and 31% (€14,196) lower, respectively. In the extreme scenario of applying a 'zero' opportunity cost to carers not in paid employment, costs fell by 67% below the base case. While the choice of costing method is important for monetary valuation, the sociodemographic and economic characteristics of the underlying population can be equally so. This is especially important given the heterogeneous treatment of older carers, female carers and carers not in paid employment in the OCA. To limit this, we would suggest using the SRCA to value informal care across heterogeneous carer populations.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 21%
Student > Master 5 18%
Researcher 4 14%
Student > Bachelor 2 7%
Student > Doctoral Student 2 7%
Other 2 7%
Unknown 7 25%
Readers by discipline Count As %
Medicine and Dentistry 6 21%
Psychology 4 14%
Economics, Econometrics and Finance 3 11%
Nursing and Health Professions 1 4%
Agricultural and Biological Sciences 1 4%
Other 6 21%
Unknown 7 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 February 2017.
All research outputs
#18,531,724
of 22,953,506 outputs
Outputs from PharmacoEconomics
#1,652
of 1,858 outputs
Outputs of similar age
#335,771
of 454,358 outputs
Outputs of similar age from PharmacoEconomics
#17
of 20 outputs
Altmetric has tracked 22,953,506 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.