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Stroke survivors’ long-term QALY-weights in relation to their spouses’ QALY-weights and informal support: a cross-sectional study

Overview of attention for article published in Health and Quality of Life Outcomes, July 2017
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1 Redditor

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Title
Stroke survivors’ long-term QALY-weights in relation to their spouses’ QALY-weights and informal support: a cross-sectional study
Published in
Health and Quality of Life Outcomes, July 2017
DOI 10.1186/s12955-017-0724-7
Pubmed ID
Authors

Josefine Persson, Lars-Åke Levin, Lukas Holmegaard, Petra Redfors, Katarina Jood, Christina Jern, Christian Blomstrand, Gunilla Forsberg-Wärleby

Abstract

Healthcare interventions that have positive effects on the stroke survivors' health-related quality of life (HRQoL) and quality-adjusted life-years (QALYs) might also have positive effects for their spouses in terms of improved HRQoL and/or reduced spousal informal support. However, knowledge about stroke survivors' HRQoL and QALY and the consequences for their spouses' HRQoL and QALY is limited. Therefore, the aim of this study was to describe the HRQoL and QALY-weights in dyads of stroke survivors in comparison with dyads of healthy controls, and to study the relationship between the stroke survivors' QALY-weights and consequences for spouses in terms of QALY-weight and annual cost of informal support, using a long-term perspective. Data on stroke survivors, controls, and spouses were collected from the seven-year follow-up of the Sahlgrenska Academy Study on Ischemic Stroke (SAHLSIS). HRQoL was assessed by the SF-36, and the preference-based health state values were assessed with the SF-6D. The magnitude of the support was assessed with a study specific time-diary. An ordinary least squares (OLS) regression was used to estimate the association between stroke survivors' and spouses' QALY-weights. A two-part econometric model was used to estimate the association between stroke survivors' QALY-weights and the time spent and cost of spouses' informal support. Cohabitant dyads of 248 stroke survivors' aged <70 at stroke onset and 245 controls were included in the study. Stroke survivors had lower HRQoL in the SF-36 domains physical functioning, physical role, general health, vitality (P < 0.001), and social functioning (P = 0.005) in comparison with their cohabitant spouses. There was no significant difference in HRQoL for the dyads of controls. The results from the regression analyses showed that lower QALY-weights of the stroke survivors were associated with lower QALY-weights of their spouses and increased annual cost of spousal informal support. Our results show that the QALY-weights for stroke survivors had consequences for their spouses in terms of annual cost of spousal informal support and QALY-weights. Hence, economic evaluation of interventions that improve the HRQoL of the stroke survivors but ignore the consequences for their spouses may underestimate the value of the intervention.

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X Demographics

The data shown below were collected from the profiles of 3 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 16%
Researcher 7 11%
Lecturer 6 9%
Student > Bachelor 5 8%
Student > Ph. D. Student 5 8%
Other 8 13%
Unknown 23 36%
Readers by discipline Count As %
Medicine and Dentistry 12 19%
Nursing and Health Professions 7 11%
Psychology 4 6%
Agricultural and Biological Sciences 3 5%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Other 9 14%
Unknown 26 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 28 August 2017.
All research outputs
#13,993,048
of 24,135,931 outputs
Outputs from Health and Quality of Life Outcomes
#1,087
of 2,238 outputs
Outputs of similar age
#158,310
of 320,394 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#16
of 57 outputs
Altmetric has tracked 24,135,931 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,238 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has gotten more attention than average, scoring higher than 51% 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 320,394 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.