Literature DB >> 24970318

Loss to follow-up after total hip replacement: a source of bias in patient reported outcome measures and registry datasets?

Mohamed A Imam1, Samuel Barke, Giles H Stafford, David Parkin, Richard E Field.   

Abstract

Patient reported outcome measures (PROMs) are used to gauge clinical performance. The PROMs outcome programme at our centre achieves a preoperative data capture rate of 99%. This falls to 90.6%, 89%, 83% and 79% at the six-week, six-month, one-year and two-year time points, respectively. The study aims were to determine factors associated with patients who did not respond to outcome questionnaires following total hip replacement (THR), and the potential implications this may have when assessing patients following THRs. During the first year of the PROMs programme, 1,322 patients underwent unilateral primary THR at our institution. Of these, 1,311 completed preoperative questionnaires. Thirty-eight patients (2.9%) died within two years of surgery and have been excluded. For the remaining 1,273 patients, we identified those who did not return postoperative questionnaires at each of our review time points. Younger age, lower baseline EQ5D and Oxford Hip scores (OHS) were significantly associated with non-response (p<0.001). Patients with lower satisfaction scores, OHS and EQ5D scores, were less likely to respond to subsequent questionnaires. A significant association between non-response and deprivation (p<0.001) was demonstrated. Our findings suggest that the more satisfied patients are over-represented and our reported outcome results are better than they would have been if all patients had responded. This phenomenon may apply to studies where those categorised as "lost to follow-up" represent a subset of patients who have disengaged due to poor outcome or satisfaction.

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Mesh:

Year:  2014        PMID: 24970318     DOI: 10.5301/hipint.5000141

Source DB:  PubMed          Journal:  Hip Int        ISSN: 1120-7000            Impact factor:   2.135


  21 in total

1.  The Oxford knee score and its subscales do not exhibit a ceiling or a floor effect in knee arthroplasty patients: an analysis of the National Health Service PROMs data set.

Authors:  Kristina Harris; Christopher R Lim; Jill Dawson; Ray Fitzpatrick; David J Beard; Andrew J Price
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2015-10-30       Impact factor: 4.342

2.  Double plating of intra-articular multifragmentary C3-type distal femoral fractures through the anterior approach.

Authors:  Mohamed A Imam; Ahmed Torieh; Ahmed Matthana
Journal:  Eur J Orthop Surg Traumatol       Date:  2017-07-14

3.  Socioeconomic deprivation and age are barriers to the online collection of patient reported outcome measures in orthopaedic patients.

Authors:  P J Jenkins; S Sng; K Brooksbank; A J Brooksbank
Journal:  Ann R Coll Surg Engl       Date:  2016-01       Impact factor: 1.891

4.  Total joint replacement improves pain, functional quality of life, and health utilities in patients with late-stage knee and hip osteoarthritis for up to 5 years.

Authors:  Audrey Neuprez; Arnaud Henri Neuprez; Jean-François Kaux; William Kurth; Christophe Daniel; Thierry Thirion; Jean-Pierre Huskin; Philippe Gillet; Olivier Bruyère; Jean-Yves Reginster
Journal:  Clin Rheumatol       Date:  2019-11-13       Impact factor: 2.980

5.  Prospective multicentre mid-term clinical and radiological outcomes of 159 reverse total shoulder replacements and assessment of the influence of post-operative complications.

Authors:  Mohamed A Imam; Jörg Neumann; Werner Siebert; Sabine Mai; Olivier Verborgt; Franziska Eckers; Leo Jacobs; Dominik C Meyer
Journal:  Shoulder Elbow       Date:  2020-12-20

6.  Patients Who Undergo Early Aseptic Revision TKA Within 90 Days of Surgery Have a High Risk of Re-revision and Infection at 2 Years: A Large-database Study.

Authors:  Tony S Shen; Alex Gu; Patawut Bovonratwet; Nathaniel T Ondeck; Peter K Sculco; Edwin P Su
Journal:  Clin Orthop Relat Res       Date:  2022-03-01       Impact factor: 4.755

7.  The Association Between Preoperative Patient-Reported Health Status and Postoperative Survey Completion Following Arthroplasty: Registry-Based Cohort Study.

Authors:  Ian A Harris; Yi Peng; Ilana Ackerman; Stephen E Graves
Journal:  JMIR Perioper Med       Date:  2022-06-30

Review 8.  Loss to follow-up in orthopaedic clinical trials: a systematic review.

Authors:  Jeremy S Somerson; Katherine C Bartush; Jeffrey B Shroff; Mohit Bhandari; Boris A Zelle
Journal:  Int Orthop       Date:  2016-05-03       Impact factor: 3.075

9.  What parameters affect knee function in patients with untreated cartilage defects: baseline data from the German Cartilage Registry.

Authors:  Alfred Hochrein; Wolfgang Zinser; Gunter Spahn; Peter Angele; Ingo Löer; Dirk Albrecht; Philipp Niemeyer
Journal:  Int Orthop       Date:  2018-08-30       Impact factor: 3.075

10.  Floor and ceiling effects in the OHS: an analysis of the NHS PROMs data set.

Authors:  Christopher R Lim; Kristina Harris; Jill Dawson; David J Beard; Ray Fitzpatrick; Andrew J Price
Journal:  BMJ Open       Date:  2015-07-27       Impact factor: 2.692

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