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Fatigue in chronically critically ill patients following intensive care - reliability and validity of the multidimensional fatigue inventory (MFI-20)

Overview of attention for article published in Health and Quality of Life Outcomes, February 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

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1 blog
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32 X users
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1 Facebook page
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1 Redditor

Citations

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29 Dimensions

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166 Mendeley
Title
Fatigue in chronically critically ill patients following intensive care - reliability and validity of the multidimensional fatigue inventory (MFI-20)
Published in
Health and Quality of Life Outcomes, February 2018
DOI 10.1186/s12955-018-0862-6
Pubmed ID
Authors

Gloria-Beatrice Wintermann, Jenny Rosendahl, Kerstin Weidner, Bernhard Strauß, Andreas Hinz, Katja Petrowski

Abstract

Fatigue often occurs as long-term complication in chronically critically ill (CCI) patients after prolonged intensive care treatment. The Multidimensional Fatigue Inventory (MFI-20) has been established as valid instrument to measure fatigue in a wide range of medical illnesses. Regarding the measurement of fatigue in CCI patients, the psychometric properties of the MFI-20 have not been investigated so far. Thus, the present study examines reliability and validity of the MFI-20 in CCI patients. A convenience sample of n = 195 patients with Critical Illness Polyneuropathy (CIP) or Myopathy (CIM) were recruited via personal contact within four weeks (t1) following the transfer from acute care ICU to post-acute ICU at a large rehabilitation hospital. N = 113 (median age 61.1 yrs., 72.6% men) patients were again contacted via telephone three (t2) and six (t3) months following the transfer to post-acute ICU. The MFI-20, the Euro-Quality of Life (EQ-5D-3 L) and the Structured Clinical Interview for the Diagnostic and Statistical Manual of mental disorders DSM-IV (SCID-I) were applied within this prospective cohort study. The internal consistency Cronbach's α was adequate for the MFI-total and all but the subscale Reduced Motivation (RM) (range: .50-.91). Item-to-total correlations (range: .22-.80) indicated item redundancy for the subscale RM. Confirmatory Factor analyses (CFAs) revealed poor model fit for the original 5-factor model of the MFI-20 (t2/t3, Confirmatory Fit Index, CFI = .783/ .834; Tucker-Lewis Index, TLI = .751/ .809; Root Mean Square Error of Approximation, RMSEA = .112/ .103). Among the alternative models (1-, 2-, 3-factor models), the data best fit to a 3-factor solution summarizing the highly correlated factors General -/ Physical Fatigue/ Reduced Activity (GF/ PF/ RA) (t2/ t3, CFI = .878/ .896, TLI = .846/ .869, RMSEA = .089/ .085, 90% Confidence Interval .073-.104/ .066-.104). The MFI-total score significantly correlated with the health-related quality of life (range: -.65-(-).66) and the diagnosis of major depression (range: .27-.37). In the present sample of CCI patients, a reliable and valid factor structure of the MFI-20 could not be ascertained. Especially the subscale RM should be revised. Since the factors GF, PF and RA cannot be separated from each other and the unclear factorial structure in the present sample of CCI patients, the MFI-20 is not recommended for use in this context. German Clinical Trials Registration DRKS00003386 . Registered 13 December 2011, retrospectively registered.

X Demographics

X Demographics

The data shown below were collected from the profiles of 32 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 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 166 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 11%
Student > Bachelor 17 10%
Student > Ph. D. Student 12 7%
Researcher 11 7%
Student > Doctoral Student 8 5%
Other 26 16%
Unknown 73 44%
Readers by discipline Count As %
Nursing and Health Professions 30 18%
Medicine and Dentistry 21 13%
Psychology 11 7%
Sports and Recreations 4 2%
Agricultural and Biological Sciences 4 2%
Other 19 11%
Unknown 77 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 25 January 2022.
All research outputs
#1,332,894
of 22,986,950 outputs
Outputs from Health and Quality of Life Outcomes
#63
of 2,185 outputs
Outputs of similar age
#32,071
of 330,961 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#4
of 51 outputs
Altmetric has tracked 22,986,950 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,185 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 97% 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 330,961 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.