↓ Skip to main content

METHODS USED TO IDENTIFY AND MEASURE RESOURCE USE IN ECONOMIC EVALUATIONS: A SYSTEMATIC REVIEW OF QUESTIONNAIRES FOR OLDER PEOPLE

Overview of attention for article published in Health economics (Online), July 2011
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
31 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
METHODS USED TO IDENTIFY AND MEASURE RESOURCE USE IN ECONOMIC EVALUATIONS: A SYSTEMATIC REVIEW OF QUESTIONNAIRES FOR OLDER PEOPLE
Published in
Health economics (Online), July 2011
DOI 10.1002/hec.1766
Pubmed ID
Authors

Adam Martin, Alex Jones, Miranda Mugford, Ian Shemilt, Ruth Hancock, Raphael Wittenberg

Abstract

This paper presents the findings of a systematic review of full or partial economic evaluations that included questions to service users or their carers to elicit information on the types, amounts or costs of community-based formal social care support provided to people 65 years and older. We have found that studies seldom report use of published validated questions for eliciting information from older people in the UK about their use of formal social care services. Given the political prominence of the debate over funding social care for older people, there remains a need for analysis of policy options. This requires reliable data on the receipt and payment for care. We recommend the development of improved questions on care that are clear, robust and up-to-date with developments in policy and practice.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 35%
Student > Bachelor 4 13%
Student > Ph. D. Student 3 10%
Student > Master 3 10%
Professor 1 3%
Other 3 10%
Unknown 6 19%
Readers by discipline Count As %
Medicine and Dentistry 5 16%
Social Sciences 5 16%
Economics, Econometrics and Finance 4 13%
Nursing and Health Professions 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Other 6 19%
Unknown 7 23%
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 03 July 2012.
All research outputs
#17,548,753
of 25,728,855 outputs
Outputs from Health economics (Online)
#2,303
of 2,688 outputs
Outputs of similar age
#93,997
of 128,919 outputs
Outputs of similar age from Health economics (Online)
#18
of 20 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,688 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. This one is in the 7th percentile – i.e., 7% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 128,919 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
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 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.