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Impact of the occurrence of a response shift on the determination of the minimal important difference in a health-related quality of life score over time

Overview of attention for article published in Health and Quality of Life Outcomes, December 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

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1 policy source
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1 X user
facebook
1 Facebook page
reddit
1 Redditor

Citations

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19 Dimensions

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107 Mendeley
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Title
Impact of the occurrence of a response shift on the determination of the minimal important difference in a health-related quality of life score over time
Published in
Health and Quality of Life Outcomes, December 2016
DOI 10.1186/s12955-016-0569-5
Pubmed ID
Authors

Ahmad Ousmen, Thierry Conroy, Francis Guillemin, Michel Velten, Damien Jolly, Mariette Mercier, Sylvain Causeret, Jean Cuisenier, Olivier Graesslin, Zeinab Hamidou, Franck Bonnetain, Amélie Anota

Abstract

An important challenge of the longitudinal analysis of health-related quality of life (HRQOL) is the potential occurrence of a Response Shift (RS) effect. While the impact of RS effect on the longitudinal analysis of HRQOL has already been studied, few studies have been conducted on its impact on the determination of the Minimal Important Difference (MID). This study aims to investigate the impact of the RS effect on the determination of the MID over time for each scale of both EORTC QLQ-C30 and QLQ-BR23 questionnaires in breast cancer patients. Patients with breast cancer completed the EORTC QLQ-C30 and the EORTC QLQ-BR23 questionnaires at baseline (time of diagnosis; T0), three months (T1) and six months after surgery (T2). Four hospitals and care centers participated in this study: cancer centers of Dijon and Nancy, the university hospitals of Reims and Strasbourg At T1 and T2, patients were asked to evaluate their HRQOL change during the last 3 months using the Jaeschke transition question. They were also asked to assess retrospectively their HRQOL level of three months ago. The occurrence of the RS effect was explored using the then-test method and its impact on the determination of the MID by using the Anchor-based method. Between February 2006 and February 2008, 381 patients were included of mean age 58 years old (SD = 11). For patients who reported a deterioration of their HRQOL level at each follow-up, an increase of RS effect has been detected between T1 and T2 in 13/15 dimensions of QLQ-C30 questionnaire, and 4/7 dimensions of QLQ-BR23 questionnaire. In contrast, a decrease of the RS effect was observed in 8/15 dimensions of QLQ-C30 questionnaire and in 5/7 dimensions of QLQ-BR23 questionnaire in case of improvement. At T2, the MID became ≥ 5 points when taking into account the RS effect in 10/15 dimensions of QLQ-C30 questionnaire and in 5/7 dimensions of QLQ-BR23 questionnaire. This study highlights that the RS effect increases over time in case of deterioration and decreases in case of improvement. Moreover, taking the RS into account produces a reliable and significant MID.

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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 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Nigeria 1 <1%
Unknown 106 99%

Demographic breakdown

Readers by professional status Count As %
Lecturer 22 21%
Student > Master 13 12%
Other 7 7%
Researcher 6 6%
Student > Bachelor 5 5%
Other 13 12%
Unknown 41 38%
Readers by discipline Count As %
Nursing and Health Professions 31 29%
Medicine and Dentistry 16 15%
Psychology 5 5%
Social Sciences 2 2%
Business, Management and Accounting 1 <1%
Other 8 7%
Unknown 44 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 09 May 2023.
All research outputs
#6,985,211
of 23,351,247 outputs
Outputs from Health and Quality of Life Outcomes
#803
of 2,197 outputs
Outputs of similar age
#125,314
of 418,769 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#4
of 31 outputs
Altmetric has tracked 23,351,247 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 2,197 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 62% 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 418,769 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 69% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.