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A Cost-Effectiveness Model for Frail Older Persons: Development and Application to a Physiotherapy-Based Intervention

Overview of attention for article published in Applied Health Economics and Health Policy, March 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

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1 policy source
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1 Facebook page

Citations

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68 Mendeley
Title
A Cost-Effectiveness Model for Frail Older Persons: Development and Application to a Physiotherapy-Based Intervention
Published in
Applied Health Economics and Health Policy, March 2017
DOI 10.1007/s40258-017-0324-z
Pubmed ID
Authors

Jonathan Karnon, Hossein Haji Ali Afzali, Gregorius Virgianto Arpuji Anggoro Putro, Phyu Win Thant, Ameline Dompok, Ingrid Cox, Owen Henry Chikhwaza, Xian Wang, Mercy Mukui Mwangangi, Matahari Farransahat, Ian Cameron

Abstract

The clinical importance of frailty is increasing. Existing economic evaluations of interventions to manage frailty have limited time horizons, but even in older populations there may be important longer-term differences in costs and outcomes. This paper reports on the development of a cost-effectiveness model to predict publicly funded health and aged care costs and quality-adjusted life years (QALYs) over the remaining lifetime of frail Australians and a model-based cost-utility analysis of a physiotherapy-based intervention for frail individuals. A cohort-based state transition (Markov) model was developed to predict costs and QALYs over the remaining lifetime of a frail population. Frailty is defined using the phenotypic definition of frailty, and the model comprises health states that describe frailty status, residential status, the experience of bone fractures and depression, and death. Model input parameters were estimated and calibrated using the Dynamic Analyses to Optimise Ageing dataset, supplemented with data from the published literature. The cost-effectiveness model was subject to a range of validation approaches, which did not negate the validity of the model. The evaluated physiotherapy-based frailty intervention has an expected incremental cost per QALY gained of Australian $8129 compared to usual care, but there is a probability of 0.3 that usual care is more effective and less costly than the intervention. Frailty reduces quality of life, is costly to manage and it's prevalence is increasing, but new approaches to managing frailty need to demonstrate value for money. The value of the reported cost-effectiveness model is illustrated through the estimation of all important costs and effects of a physiotherapy-based frailty intervention, which facilitates comparisons with funding decisions for other new technologies in Australia.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 1%
Unknown 67 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 15%
Researcher 9 13%
Student > Master 7 10%
Student > Bachelor 6 9%
Student > Doctoral Student 5 7%
Other 9 13%
Unknown 22 32%
Readers by discipline Count As %
Nursing and Health Professions 13 19%
Medicine and Dentistry 10 15%
Psychology 6 9%
Business, Management and Accounting 4 6%
Economics, Econometrics and Finance 3 4%
Other 15 22%
Unknown 17 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 11 June 2018.
All research outputs
#5,526,850
of 22,952,268 outputs
Outputs from Applied Health Economics and Health Policy
#229
of 784 outputs
Outputs of similar age
#88,095
of 308,881 outputs
Outputs of similar age from Applied Health Economics and Health Policy
#3
of 23 outputs
Altmetric has tracked 22,952,268 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 784 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one has gotten more attention than average, scoring higher than 70% of its peers.
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 308,881 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.