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- Greene, Meridith E, et al.
(författare)
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Education Attainment is Associated With Patient-reported Outcomes: Findings From the Swedish Hip Arthroplasty Register.
- 2014
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Ingår i: Clinical orthopaedics and related research. - : Ovid Technologies (Wolters Kluwer Health). - 1528-1132 .- 0009-921X. ; 472:6, s. 1868-76
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Tidskriftsartikel (refereegranskat)abstract
- Age, sex, and medical comorbidities may be associated with differences in patient-reported outcome scores after THA. Highest level of education may be a surrogate for socioeconomic status, but the degree to which this is associated with patient-reported outcomes after THA is not known.
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- Greene, Meridith E, et al.
(författare)
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Improved statistical analysis of pre- and post-treatment patient-reported outcome measures (PROMs): the applicability of piecewise linear regression splines
- 2015
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Ingår i: Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation. - : Springer Science and Business Media LLC. - 1573-2649. ; 24:3, s. 567-573
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Tidskriftsartikel (refereegranskat)abstract
- Patient-reported health-related quality-of-life (HRQoL) measures such as the EuroQol 5 dimension (EQ-5D) index are commonplace when assessing healthcare providers or efficiency of medical techniques. HRQoL measures are generally bounded, and the magnitude of possible improvement depends on the pre-treatment HRQoL value. This paper aimed to assess and illustrated the possibility of modelling the relationship between pre- and post-treatment HRQoL measures with piecewise linear splines.
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- Greene, Meridith E, et al.
(författare)
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Standard Comorbidity Measures Do Not Predict Patient-reported Outcomes 1 Year After Total Hip Arthroplasty
- 2015
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Ingår i: Clinical orthopaedics and related research. - : Ovid Technologies (Wolters Kluwer Health). - 1528-1132 .- 0009-921X. ; 473:11, s. 3370-3379
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Tidskriftsartikel (refereegranskat)abstract
- Comorbidities influence surgical outcomes and therefore need to be included in risk adjustment when predicting patient-reported outcomes. However, there is no consensus on how best to use the available data about comorbidities in registry-based predictive models.
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