Development and validation of a shared decision‐making instrument for health‐related quality of life one year after total hip replacement based on quality registries data

Nemes, Szilárd; Rolfson, Ola; Garellick, Göran

doi:10.1111/jep.12603

Cited by 8 publications

(3 citation statements)

References 55 publications

(56 reference statements)

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“…It is important to adjust for preoperative PROs when analysing postoperative PROs since it is the factor with the strongest ability to predict the postoperative outcomes [30]. Preoperative PRO values, presented in map 1 to 3, show that variations in patients’ HRQoL and pain existed even before the surgery.…”

Section: Discussionmentioning

confidence: 99%

Geographical variations in patient-reported outcomes after total hip arthroplasty between 2008 - 2012

Oldsberg

Garellick

Friberg

et al. 2019

BMC Health Serv Res

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Background Health care on equal terms is a cornerstone of the Swedish health care system. Total hip arthroplasty (THA) is considered a success story in Sweden with low frequency of reoperations and restored health-related quality of life (HRQoL). Administratively, health care in Sweden is locally self-governed by 21 counties. In this longitudinal nation-wide observational study we assessed the possible geographical variations in 1-year follow-up patient-reported outcomes (PROs): EQ-5D index, EQ VAS, Pain VAS and Satisfaction VAS. Methods Study population consisted of 36,235 Swedish THA patients, operated during 2008 to 2012 due to hip osteoarthritis. Individual data came from Swedish Hip Arthroplasty Register, Statistics Sweden and National Board of Health and Welfare. We used descriptive statistics together with multivariable regression analysis to analyse the data. Results We observed county level differences in both preoperative and postoperative PROs. The results showed that the differences observed in preoperative PROs could not fully explain the differences observed in postoperative PROs, even after adjustment for patient demographics (age, sex, BMI, Elixhauser comorbidity index, marital status, educational level and disposable income). This indicates that other factors might influence the outcome after THA. Conclusion Likely, structural and process differences such as indication for surgery have an influence on PROs after surgery. Standardization of care at hospital levels may decrease geographical variations in postoperative HRQoL. Remaining differences will then possibly be associated to patient demographics. Electronic supplementary material The online version of this article (10.1186/s12913-019-4171-5) contains supplementary material, which is available to authorized users.

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Section: Discussionmentioning

confidence: 99%

Geographical variations in patient-reported outcomes after total hip arthroplasty between 2008 - 2012

Oldsberg

Garellick

Friberg

et al. 2019

BMC Health Serv Res

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“…The influence of pre-operative PROMs on postoperative PROMs has been described, but so far, no association between pre-operative PROMs and mortality has been described [ 48 , 49 ]. With an increased interest in outcomes measurement and early postoperative mortality, it is important to realise that many factors, patient-related as well as procedure-related, might influence the outcome [ 9 , 16 ].…”

Section: Discussionmentioning

confidence: 99%

Is Preoperative Patient-Reported Health Status Associated with Mortality after Total Hip Replacement?

Cnudde

Nemes

Mohaddes

et al. 2017

IJERPH

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The influence of comorbidities and worse physical status on mortality following total hip replacement (THR) leads to the idea that patient-reported health status may also be a predictor of mortality. The aim of this study was to investigate the relationship between patient-reported health status before THR and the risk of dying up to 5 years post-operatively. For these analyses, we used register data on 42,862 THR patients with primary hip osteoarthritis operated between 2008 and 2012. The relative survival ratio was calculated by dividing the observed survival in the patient group by age- and sex-adjusted expected survival of the general population. Pre-operative responses to the five EQ-5D-3L (EuroQol Group) dimensions along with age, sex, education status, year of surgery, and hospital type were used as independent variables. Results shown that, as a group, THR patients had a better survival than the general population. Broken down by the five EQ-5D-3L dimensions we observed differentiated survival patters. For all dimensions, those reporting extreme problems had higher mortality than those reporting moderate or no problems. In conclusion, worse health status according to the EQ-5-3L before THR is associated with higher mortality up to five years after surgery. EQ-5D-3L responses may be useful in a multifactorial individualized risk assessment before THR.

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“…Nationwide arthroplasty registries have proven their useulness in collecting clinical outcomes on orthopaedic implant survival or reoperations [55]. The UK Knee osteotomy registry (UKKOR) is the rst registry in the world dedicated to recording patient outcomes rom knee osteotomy [56].…”

Section: Future Researchmentioning

confidence: 99%

Is there an optimal degree of correction for ankle varus deformity after supramalleolar osteotomy? A systematic review

Beijk

Johannes

et al. 2022

Foot and Ankle Surgery

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Development and validation of a shared decision‐making instrument for health‐related quality of life one year after total hip replacement based on quality registries data

Cited by 8 publications

References 55 publications

Geographical variations in patient-reported outcomes after total hip arthroplasty between 2008 - 2012

Geographical variations in patient-reported outcomes after total hip arthroplasty between 2008 - 2012

Is Preoperative Patient-Reported Health Status Associated with Mortality after Total Hip Replacement?

Is there an optimal degree of correction for ankle varus deformity after supramalleolar osteotomy? A systematic review

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