Comprehensively measuring health-related subjective well-being: Dimensionality analysis for improved outcome assessment in health economics

Marieke de Vries, W.H.M. Emons, A. Plantinga, Suzanne Pietersma, W.B. van den Hout, Anne M. Stiggelbout, M. Elske van den Akker-van Marle

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

Background
Allocation of inevitably limited financial resources for health care requires assessment of an intervention’s effectiveness. Interventions likely affect quality of life (QOL) more broadly than is measurable with commonly used health-related QOL utility scales. In line with the World Health Organization’s definition of health, a recent Delphi procedure showed that assessment needs to put more emphasis on mental and social dimensions.
Objective
To identify the core dimensions of health-related subjective well-being (HR-SWB) for a new, more comprehensive outcome measure.
Methods
We formulated items for each domain of an initial Delphi-based set of 21 domains of HR-SWB. We tested these items in a large sample (N = 1143) and used dimensionality analyses to find a smaller number of latent factors.
Results
Exploratory factor analysis suggested a five-factor model, which explained 65% of the total variance. Factors related to physical independence, positive affect, negative affect, autonomy, and personal growth. Correlations between the factors ranged from 0.19 to 0.59. A closer inspection of the factors revealed an overlap between the newly identified core dimensions of HR-SWB and the validation scales, but the dimensions of HR-SWB also seemed to reflect additional aspects. This shows that the dimensions of HR-SWB we identified go beyond the existing health-related QOL instruments.
Conclusions
We identified a set of five key dimensions to be included in a new, comprehensive measure of HR-SWB that reliably captures these dimensions and fills in the gaps of the existent measures used in economic evaluations.
Original languageEnglish
Pages (from-to)167-175
JournalValue in Health
Volume19
Issue number2
DOIs
Publication statusPublished - 2016

Keywords

  • factor analysis
  • quality of life

Cite this

de Vries, M., Emons, W. H. M., Plantinga, A., Pietersma, S., van den Hout, W. B., Stiggelbout, A. M., & van den Akker-van Marle, M. E. (2016). Comprehensively measuring health-related subjective well-being: Dimensionality analysis for improved outcome assessment in health economics. Value in Health, 19(2), 167-175. https://doi.org/10.1016/j.jval.2015.11.010
de Vries, Marieke ; Emons, W.H.M. ; Plantinga, A. ; Pietersma, Suzanne ; van den Hout, W.B. ; Stiggelbout, Anne M. ; van den Akker-van Marle, M. Elske. / Comprehensively measuring health-related subjective well-being : Dimensionality analysis for improved outcome assessment in health economics. In: Value in Health. 2016 ; Vol. 19, No. 2. pp. 167-175.
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abstract = "BackgroundAllocation of inevitably limited financial resources for health care requires assessment of an intervention’s effectiveness. Interventions likely affect quality of life (QOL) more broadly than is measurable with commonly used health-related QOL utility scales. In line with the World Health Organization’s definition of health, a recent Delphi procedure showed that assessment needs to put more emphasis on mental and social dimensions.ObjectiveTo identify the core dimensions of health-related subjective well-being (HR-SWB) for a new, more comprehensive outcome measure.MethodsWe formulated items for each domain of an initial Delphi-based set of 21 domains of HR-SWB. We tested these items in a large sample (N = 1143) and used dimensionality analyses to find a smaller number of latent factors.ResultsExploratory factor analysis suggested a five-factor model, which explained 65{\%} of the total variance. Factors related to physical independence, positive affect, negative affect, autonomy, and personal growth. Correlations between the factors ranged from 0.19 to 0.59. A closer inspection of the factors revealed an overlap between the newly identified core dimensions of HR-SWB and the validation scales, but the dimensions of HR-SWB also seemed to reflect additional aspects. This shows that the dimensions of HR-SWB we identified go beyond the existing health-related QOL instruments.ConclusionsWe identified a set of five key dimensions to be included in a new, comprehensive measure of HR-SWB that reliably captures these dimensions and fills in the gaps of the existent measures used in economic evaluations.",
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de Vries, M, Emons, WHM, Plantinga, A, Pietersma, S, van den Hout, WB, Stiggelbout, AM & van den Akker-van Marle, ME 2016, 'Comprehensively measuring health-related subjective well-being: Dimensionality analysis for improved outcome assessment in health economics', Value in Health, vol. 19, no. 2, pp. 167-175. https://doi.org/10.1016/j.jval.2015.11.010

Comprehensively measuring health-related subjective well-being : Dimensionality analysis for improved outcome assessment in health economics. / de Vries, Marieke; Emons, W.H.M.; Plantinga, A.; Pietersma, Suzanne; van den Hout, W.B.; Stiggelbout, Anne M.; van den Akker-van Marle, M. Elske.

In: Value in Health, Vol. 19, No. 2, 2016, p. 167-175.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Comprehensively measuring health-related subjective well-being

T2 - Dimensionality analysis for improved outcome assessment in health economics

AU - de Vries, Marieke

AU - Emons, W.H.M.

AU - Plantinga, A.

AU - Pietersma, Suzanne

AU - van den Hout, W.B.

AU - Stiggelbout, Anne M.

AU - van den Akker-van Marle, M. Elske

PY - 2016

Y1 - 2016

N2 - BackgroundAllocation of inevitably limited financial resources for health care requires assessment of an intervention’s effectiveness. Interventions likely affect quality of life (QOL) more broadly than is measurable with commonly used health-related QOL utility scales. In line with the World Health Organization’s definition of health, a recent Delphi procedure showed that assessment needs to put more emphasis on mental and social dimensions.ObjectiveTo identify the core dimensions of health-related subjective well-being (HR-SWB) for a new, more comprehensive outcome measure.MethodsWe formulated items for each domain of an initial Delphi-based set of 21 domains of HR-SWB. We tested these items in a large sample (N = 1143) and used dimensionality analyses to find a smaller number of latent factors.ResultsExploratory factor analysis suggested a five-factor model, which explained 65% of the total variance. Factors related to physical independence, positive affect, negative affect, autonomy, and personal growth. Correlations between the factors ranged from 0.19 to 0.59. A closer inspection of the factors revealed an overlap between the newly identified core dimensions of HR-SWB and the validation scales, but the dimensions of HR-SWB also seemed to reflect additional aspects. This shows that the dimensions of HR-SWB we identified go beyond the existing health-related QOL instruments.ConclusionsWe identified a set of five key dimensions to be included in a new, comprehensive measure of HR-SWB that reliably captures these dimensions and fills in the gaps of the existent measures used in economic evaluations.

AB - BackgroundAllocation of inevitably limited financial resources for health care requires assessment of an intervention’s effectiveness. Interventions likely affect quality of life (QOL) more broadly than is measurable with commonly used health-related QOL utility scales. In line with the World Health Organization’s definition of health, a recent Delphi procedure showed that assessment needs to put more emphasis on mental and social dimensions.ObjectiveTo identify the core dimensions of health-related subjective well-being (HR-SWB) for a new, more comprehensive outcome measure.MethodsWe formulated items for each domain of an initial Delphi-based set of 21 domains of HR-SWB. We tested these items in a large sample (N = 1143) and used dimensionality analyses to find a smaller number of latent factors.ResultsExploratory factor analysis suggested a five-factor model, which explained 65% of the total variance. Factors related to physical independence, positive affect, negative affect, autonomy, and personal growth. Correlations between the factors ranged from 0.19 to 0.59. A closer inspection of the factors revealed an overlap between the newly identified core dimensions of HR-SWB and the validation scales, but the dimensions of HR-SWB also seemed to reflect additional aspects. This shows that the dimensions of HR-SWB we identified go beyond the existing health-related QOL instruments.ConclusionsWe identified a set of five key dimensions to be included in a new, comprehensive measure of HR-SWB that reliably captures these dimensions and fills in the gaps of the existent measures used in economic evaluations.

KW - factor analysis

KW - quality of life

U2 - 10.1016/j.jval.2015.11.010

DO - 10.1016/j.jval.2015.11.010

M3 - Article

VL - 19

SP - 167

EP - 175

JO - Value in Health

JF - Value in Health

SN - 1098-3015

IS - 2

ER -