Comparison of pre- and post-operative health-related quality of life and length of stay after primary total hip replacement in matched English and German patient cohorts

Quality of Life Research

Volumn 24, Issue 2, 2015, Pages 513-520

  Vogl, Matthias ^a,b   Leidl, Reiner ^a,b   Plötz, Werner ^c,d   Gutacker, Nils ^e  

^a INSTITUTE OF EPIDEMIOLOGY   (Germany)

^b UNIVERSITY OF MUNICH   (Germany)

^c KRANKENHAUS BARMHERZIGE BRÜDER   (Germany)

^d TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^e UNIVERSITY OF YORK   (United Kingdom)

Author keywords

England; EQ 5D; Germany; Health related quality of life; Total hip replacement

Indexed keywords

AGED; COHORT ANALYSIS; COMPARATIVE STUDY; FEMALE; GERMANY; HEALTH CARE PLANNING; HEALTH STATUS; HIP ARTHROPLASTY; HUMAN; LENGTH OF STAY; MALE; MIDDLE AGED; POSTOPERATIVE PERIOD; PREOPERATIVE PERIOD; PSYCHOLOGY; QUALITY OF LIFE; QUESTIONNAIRE; UNITED KINGDOM; UTILIZATION;

AGED; ARTHROPLASTY, REPLACEMENT, HIP; COHORT STUDIES; ENGLAND; FEMALE; GERMANY; HEALTH RESOURCES; HEALTH STATUS; HUMANS; LENGTH OF STAY; MALE; MIDDLE AGED; POSTOPERATIVE PERIOD; PREOPERATIVE PERIOD; QUALITY OF LIFE; QUESTIONNAIRES;

EID: 84931090968     PISSN: 09629343     EISSN: 15732649     Source Type: Journal    
DOI: 10.1007/s11136-014-0782-9     Document Type: Article

References (38)

1. Jenkins, P. J., Clement, N. D., Hamilton, D. F., Gaston, P., Patton, J. T., & Howie, C. R. (2013). Predicting the cost-effectiveness of total hip and knee replacement: a health economic analysis. Bone and Joint Journal,95-B(1), 115–121.
2. Imamura, K., & Black, N. (1998). Outcome of total hip replacement in Japan and England. Comparison of two retrospective cohorts. International Journal of Technology Assessment in Health Care,14(4), 762–773.
3. Gordon, M., Paulsen, A., Overgaard, S., Garellick, G., Pedersen, A. B., & Rolfson, O. (2013). Factors influencing health-related quality of life after total hip replacement—a comparison of data from the Swedish and Danish hip arthroplasty registers. BMC Musculoskeletal Disorders,14, 316.
4. OECD. (2012, 17 July 2013). Health at a glance Europe 2012. Retrieved January 17, 2014, from http://www.oecd.org/els/health-systems/HealthAtAGlanceEurope2012.pdf.
5. Klauber, J., Geraedts, M., Friedrich, J., & Wasem, J. (2013). Krankenhaus-Report 2013 Mengendynamik: Mehr Menge, mehr Nutzen? Stuttgart: Schattauer.
6. Siciliani, L., Moran, V., & Borowitz, M. (2013). Measuring and comparing health care waiting times in OECD Countries, OECD Health Working paper No. 67. Retrieved February 2, 2014, from http://search.oecd.org/officialdocuments/publicdisplaydocumentpdf/?cote=DELSA/HEA/WD/HWP%282013%298&docLanguage=En.
7. Garbuz, D. S., Xu, M., Duncan, C. P., Masri, B. A., & Sobolev, B. (2006). Delays worsen quality of life outcome of primary total hip arthroplasty. Clinical Orthopaedics and Related Research,447, 79–84.
8. Vergara, I., Bilbao, A., Gonzalez, N., Escobar, A., & Quintana, J. (2011). Factors and consequences of waiting times for total hip arthroplasty. Clinical Orthopaedics and Related Research®,469(5), 1413–1420.
9. Hoogeboom, T. J., van den Ende, C. H. M., van der Sluis, G., Elings, J., Dronkers, J. J., Aiken, A. B., et al. (2009). The impact of waiting for total joint replacement on pain and functional status: A systematic review. Osteoarthritis and Cartilage,17(11), 1420–1427.
10. Street, A., Gutacker, N., Bojke, C., Devlin, N., & Daidone, S. (2014). Variations in outcome and costs among NHS providers for common surgical procedures: econometric analyses of routinely collected data. Health Serv Deliv Res, 2(1).
11. Dall, G. F., Ohly, N. E., Ballantyne, J. A., & Brenkel, I. J. (2009). The influence of pre-operative factors on the length of in-patient stay following primary total hip replacement for osteoarthritis: A multivariate analysis of 2302 patients. Journal of Bone and Joint Surgery British,91(4), 434–440.
12. Department of Health. (2010, 13 September 2013). Guidance on the routine collection of patient reported outcome measures (PROMs). Retrieved January 12, 2014, from http://webarchive.nationalarchives.gov.uk/20130107105354/http://www.dh.gov.uk/prod_consum_dh/groups/dh_digitalassets/@dh/@en/documents/digitalasset/dh_092625.pdf.
13. Dolan, P. (1996). Modelling valuations for health states: The effect of duration. Health Policy,38(3), 189–203.
14. Kind, P., Brooks, R., & Rabin, R. (2005). EQ-5D concepts and methods: A developmental history. Dordrecht: Springer.
15. Austin, P. C. (2009). Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples. Statistics in Medicine,28(25), 3083–3107.
16. Ethgen, O., Bruyere, O., Richy, F., Dardennes, C., & Reginster, J. Y. (2004). Health-related quality of life in total hip and total knee arthroplasty: A qualitative and systematic review of the literature. The Journal of Bone and Joint Surgery,86-A(5), 963–974.
17. Biring, G. S., Masri, B. A., Greidanus, N. V., Duncan, C. P., & Garbuz, D. S. (2007). Predictors of quality of life outcomes after revision total hip replacement. Journal of Bone and Joint Surgery British,89(11), 1446–1451.
18. Husted, H., Holm, G., & Jacobsen, S. (2008). Predictors of length of stay and patient satisfaction after hip and knee replacement surgery: Fast-track experience in 712 patients. Acta Orthopaedica,79(2), 168–173.
19. Bjorgul, K., Novicoff, W., & Saleh, K. (2010). Evaluating comorbidities in total hip and knee arthroplasty: available instruments. Journal of Orthopaedics and Traumatology,11(4), 203–209.
20. Rassen, J. A., Shelat, A. A., Myers, J., Glynn, R. J., Rothman, K. J., & Schneeweiss, S. (2012). One-to-many propensity score matching in cohort studies. Pharmacoepidemiology and Drug Safety,21(Suppl 2), 69–80.
21. Austin, P. C. (2011). Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies. Pharmaceutical Statistics,10(2), 150–161.
22. Austin, P. C. (2009). Some methods of propensity-score matching had superior performance to others: Results of an empirical investigation and Monte Carlo simulations. Biometrical Journal,51(1), 171–184.
23. Pearse, R. M., Moreno, R. P., Bauer, P., Pelosi, P., Metnitz, P., Spies, C., et al. (2012). Mortality after surgery in Europe: A 7 day cohort study. Lancet,380(9847), 1059–1065.
24. Stargardt, T. (2008). Health service costs in Europe: Cost and reimbursement of primary hip replacement in nine countries. Health Economics,17(1 Suppl), S9–20.
25. Coleman, M. P., Quaresma, M., Berrino, F., Lutz, J. M., De Angelis, R., Capocaccia, R., et al. (2008). Cancer survival in five continents: A worldwide population-based study (CONCORD). The Lancet Oncology,9(8), 730–756.
26. Institut für das Entgeltsystem im Krankenhaus (InEK). (2013). G-DRG Browser 2013; Datenveröffentlichung gem. § 21 KHEntgG. Retrieved February 11, 2014, from http://www.g-drg.de/cms/Datenveroeffentlichung_gem._21_KHEntgG.
27. Gutacker, N., Bojke, C., Daidone, S., Devlin, N. J., Parkin, D., & Street, A. (2013). Truly inefficient or providing better quality of care? Analysing the relationship between risk-adjusted hospital costs and patients’ health outcomes. Health Economics,22(8), 931–947.
28. Laudicella, M., Siciliani, L., & Cookson, R. (2012). Waiting times and socioeconomic status: Evidence from England. Social Science and Medicine,74(9), 1331–1341.
29. Haanstra, T. M., van den Berg, T., Ostelo, R. W., Poolman, R. W., Jansma, E. P., Cuijpers, P., et al. (2012). Systematic review: Do patient expectations influence treatment outcomes in total knee and total hip arthroplasty? Health Quality Life Outcomes,10, 152.
30. Rice, N., Robone, S., & Smith, P. C. (2012). Vignettes and health systems responsiveness in cross-country comparative analyses. Journal of the Royal Statistical Society: Series A (Statistics in Society),175(2), 337–369.
31. Murray, C. J. L., Özaltin, E., Tandon, A., Salomon, J. A., Sadana, R., & Chatterji, S. (2003). Empirical evaluation of the anchoring vignette approach in health surveys (Chapter 30). In C. J. L. Murray & D. B. Evans (Eds.), Health systems performance assessment: Debates, methods and empiricism. Geneva: Word Health Organisation.
32. Bago d’Uva, T., Van Doorslaer, E., Lindeboom, M., & O’Donnell, O. (2008). Does reporting heterogeneity bias the measurement of health disparities? Health Economics,17(3), 351–375.
33. Salomon, J. A., Tandon, A., & Murray, C. J. (2004). Comparability of self rated health: Cross sectional multi-country survey using anchoring vignettes. BMJ,328(7434), 258.
34. Jurges, H. (2007). True health vs response styles: Exploring cross-country differences in self-reported health. Health Economics,16(2), 163–178.
35. Knies, S., Evers, S. M., Candel, M. J., Severens, J. L., & Ament, A. J. (2009). Utilities of the EQ-5D: transferable or not? Pharmacoeconomics,27(9), 767–779.
36. Leidl, R., & Reitmeir, P. (2011). A value set for the EQ-5D based on experienced health states: Development and testing for the German population. Pharmacoeconomics,29(6), 521–534.
37. Jansson, K. A., & Granath, F. (2011). Health-related quality of life (EQ-5D) before and after orthopedic surgery. Acta Orthopaedica,82(1), 82–89.
38. Pinedo-Villanueva, R. A., Turner, D., Judge, A., Raftery, J. P., & Arden, N. K. (2013). Mapping the Oxford hip score onto the EQ-5D utility index. Quality of Life Research,22(3), 665–675.