lnu.sePublications
Change search
Refine search result
1 - 2 of 2
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Rows per page
  • 5
  • 10
  • 20
  • 50
  • 100
  • 250
Sort
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
Select
The maximal number of hits you can export is 250. When you want to export more records please use the Create feeds function.
  • 1.
    Hagell, Peter
    et al.
    Kristianstad University.
    Westergren, Albert
    Kristianstad University.
    Årestedt, Kristofer
    Linnaeus University, Faculty of Health and Life Sciences, Department of Health and Caring Sciences. Kalmar Cty Hospital ; Linköping University.
    Beware of the origin of numbers: Standard scoring of the SF-12 and SF-36 summary measures distorts measurement and score interpretations2017In: Research in Nursing & Health, ISSN 0160-6891, E-ISSN 1098-240X, Vol. 40, no 4, p. 378-386Article in journal (Refereed)
    Abstract [en]

    The 12-item Short Form Health Survey (SF-12) is a generic health rating scale developed to reproduce the Physical and Mental Component Summary scores (PCS and MCS, respectively) of a longer survey, the SF-36. The standard PCS/MCS scoring algorithm has been criticized because its expected dimensionality often lacks empirical support, scoring is based on the assumption that physical and mental health are uncorrelated, and because scores on physical health items influence MCS scores, and vice versa. In this paper, we review the standard PCS/MCS scoring algorithm for the SF-12 and consider alternative scoring procedures: the RAND-12 Health Status Inventory (HSI) and raw sum scores. We corroborate that the SF-12 reproduces SF-36 scores but also inherits its problems. In simulations, good physical health scores reduce mental health scores, and vice versa. This may explain results of clinical studies in which, for example, poor physical health scores result in good MCS scores despite compromised mental health. When applied to empirical data from people with Parkinson's disease (PD) and stroke, standard SF-12 scores suggest a weak correlation between physical and mental health (r(s). 16), whereas RAND-12 HSI and raw sum scores show a much stronger correlation (r(s). 67-.68). Furthermore, standard PCS scores yield a different statistical conclusion regarding the association between physical health and age than do RAND-12 HSI and raw sum scores. We recommend that the standard SF-12 scoring algorithm be abandoned in favor of alternatives that provide more valid representations of physical and mental health, of which raw sum scores appear the simplest.

  • 2.
    Holm, Maja
    et al.
    Sophiahemmet University, Sweden.
    Alvariza, Anette
    Ersta Sköndal Bräcke University College, Sweden;Dalen Hospital, Sweden.
    Furst, Carl-Johan
    Lund University, Sweden.
    Ohlen, Joakim
    University of Gothenburg, Sweden.
    Årestedt, Kristofer
    Linnaeus University, Faculty of Health and Life Sciences, Department of Health and Caring Sciences. Kalmar County Hospital, Sweden.
    Psychometric evaluation of the Texas revised inventory of grief in a sample of bereaved family caregivers2018In: Research in Nursing & Health, ISSN 0160-6891, E-ISSN 1098-240X, Vol. 41, no 5, p. 480-488Article in journal (Refereed)
    Abstract [en]

    The Texas Revised Inventory of Grief (TRIG) was developed to measure the intensity of grief after the death of a close person. It consists of two scales: TRIG I (past behaviors) and TRIG II (present feelings). Because of inconsistencies in previous validations, the instrument needs to be further validated, hence the aim of this study was to evaluate the psychometric properties of the TRIG in a sample of bereaved family caregivers in Sweden. The TRIG was translated to Swedish according to standard principles, and 129 bereaved family caregivers completed the questionnaire. Parallel analysis was used to decide the number of factors to extract, followed by confirmatory factor analysis. An ordinal version of Cronbach's alpha was used to evaluate the internal consistency of the scales. Construct validity was tested against the Hospital Anxiety and Depression Scale (HADS). The factor analyses resulted in one factor being retained for both scales. The internal consistency was excellent (>0.9) for both scales. Construct validity was supported by strong correlations between TRIG I and TRIG II as well as moderate correlations between the TRIG scales and HADS. In conclusion, the TRIG has sound psychometric qualities and the two scales should be treated as unidimensional measures of grief. Hence, the instrument is suited to be used in the context of palliative care.

1 - 2 of 2
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf