Literature DB >> 26499997

Survey mode influence on patient-reported outcome scores in orthopaedic surgery: telephone results may be positively biased.

Jon E Hammarstedt1, John M Redmond2, Asheesh Gupta3, Kevin F Dunne4, S Pavan Vemula4, Benjamin G Domb5,6,7.   

Abstract

PURPOSE: Patient-reported outcome (PRO) scores are used to evaluate treatment modalities in orthopaedic surgery. The method of PRO collection may introduce bias to reported surgical outcomes due to the presence of an interviewer. This study evaluates post-operative PROs for variation of outcomes between survey methods-in-person, online, or telephone.
METHODS: From 2008 to 2011, 456 patients underwent arthroscopic surgical treatment for acetabular labral tears. All pre-operative surveys were completed in the clinic during pre-operative visit. Two-year follow-up questionnaires were completed by 385 (84 %) patients. The PRO data were prospectively collected pre- and post-operatively using five tools: modified Harris Hip Score (mHHS), Hip Outcome Score Activities of Daily Living (HOS-ADLS), Hip Outcome Score Sports-Specific Subscale (HOS-SSS), Non-Arthritic Hip Score (NAHS), and visual analog scale. Patients were grouped according to method of 2-year follow-up: in-person during follow-up visit (102 patients, 26 %), online by email prompt (138 patients, 36 %), or telephone with an interviewer (145 patients, 38 %).
RESULTS: Pre-operative baseline PRO scores demonstrated no statistically significant difference between groups for mHHS, HOS-ADLS, HOS-SSS, and NAHS. Two-year post-operative PRO scores obtained by telephone were statistically greater than scores obtained in-person or online for mHHS (p < 0.001), HOS-ADLS (p < 0.001), and HOS-SSS (p < 0.01).
CONCLUSION: This study demonstrates higher patient-reported outcome scores and greater improvement by telephone surveys compared to in-person or online. The variation of results between collection methods is indicative of a confounding variable. Clinically, it is important to understand these confounding variables in order to assess patient responses and guide treatment. LEVEL OF EVIDENCE: IV.

Entities:  

Keywords:  Hip arthroscopy; Interview bias; Orthopaedic surgery; Patient-reported outcomes; Survey method

Mesh:

Year:  2015        PMID: 26499997     DOI: 10.1007/s00167-015-3802-6

Source DB:  PubMed          Journal:  Knee Surg Sports Traumatol Arthrosc        ISSN: 0942-2056            Impact factor:   4.342


  30 in total

1.  Interviewer bias. How it affects survey research.

Authors:  M K Salazar
Journal:  AAOHN J       Date:  1990-12

2.  Telephone interviews can be used to collect follow-up data subsequent to no response to postal questionnaires in clinical trials.

Authors:  Ranjit Lall; Dipesh Mistry; Chris Bridle; Sallie E Lamb
Journal:  J Clin Epidemiol       Date:  2011-08-09       Impact factor: 6.437

3.  Equivalence of mail and telephone responses to the CAHPS Hospital Survey.

Authors:  Han de Vries; Marc N Elliott; Kimberly A Hepner; San D Keller; Ron D Hays
Journal:  Health Serv Res       Date:  2005-12       Impact factor: 3.402

4.  Evidence of validity for the hip outcome score in hip arthroscopy.

Authors:  RobRoy L Martin; Marc J Philippon
Journal:  Arthroscopy       Date:  2007-08       Impact factor: 4.772

5.  Psychometric properties of patient-reported outcome measures for hip arthroscopic surgery.

Authors:  Joanne L Kemp; Natalie J Collins; Ewa M Roos; Kay M Crossley
Journal:  Am J Sports Med       Date:  2013-07-08       Impact factor: 6.202

6.  Prospective analysis of hip arthroscopy with 2-year follow-up.

Authors:  J W Byrd; K S Jones
Journal:  Arthroscopy       Date:  2000-09       Impact factor: 4.772

7.  Differences in mail and telephone responses to self-rated health: use of multiple imputation in correcting for response bias.

Authors:  J R Powers; G Mishra; A F Young
Journal:  Aust N Z J Public Health       Date:  2005-04       Impact factor: 2.939

8.  Influence of follow-up methodology and completeness on apparent clinical outcome of fundoplication.

Authors:  Robert Ludemann; David I Watson; Glyn G Jamieson
Journal:  Am J Surg       Date:  2003-08       Impact factor: 2.565

9.  Measuring arthroscopic outcome.

Authors:  James J Irrgang; James H Lubowitz
Journal:  Arthroscopy       Date:  2008-06       Impact factor: 4.772

10.  Patient satisfaction scores for endoscopic procedures: impact of a survey-collection method.

Authors:  Otto S Lin; Drew B Schembre; Kamran Ayub; Michael Gluck; Susan E McCormick; David J Patterson; Nico Cantone; Maw-Soan Soon; Richard A Kozarek
Journal:  Gastrointest Endosc       Date:  2007-05       Impact factor: 9.427

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  6 in total

1.  Aseptic Revision of Total Hip Arthroplasty With a Single Modular Femoral Stem and a Modified Extended Trochanteric Osteotomy-Treatment Assessment With the Forgotten Joint Score-12.

Authors:  Anna-Katharina Calek; Thomas Schöfl; Vilijam Zdravkovic; Pia Zurmühle; Andreas Ladurner
Journal:  Arthroplast Today       Date:  2022-05-18

2.  Differential item functioning to validate setting of delivery compatibility in PROMIS-global health.

Authors:  Dylan J Parker; Paul M Werth; David D Christensen; David S Jevsevar
Journal:  Qual Life Res       Date:  2022-01-20       Impact factor: 4.147

Review 3.  Investigating the Bias in Orthopaedic Patient-reported Outcome Measures by Mode of Administration: A Meta-analysis.

Authors:  Jonathan Acosta; Peter Tang; Steven Regal; Sam Akhavan; Alan Reynolds; Rebecca Schorr; Jon E Hammarstedt
Journal:  J Am Acad Orthop Surg Glob Res Rev       Date:  2020-12-04

Review 4.  A Narrative Literature Review of Bias in Collecting Patient Reported Outcomes Measures (PROMs).

Authors:  Michela Luciana Luisa Zini; Giuseppe Banfi
Journal:  Int J Environ Res Public Health       Date:  2021-11-26       Impact factor: 3.390

5.  The Value of Median Nerve Sonography as a Predictor for Short- and Long-Term Clinical Outcomes in Patients with Carpal Tunnel Syndrome: A Prospective Long-Term Follow-Up Study.

Authors:  Alexander Marschall; Anja Ficjian; Martin H Stradner; Rusmir Husic; Dorothea Zauner; Werner Seel; Nicole E Simmet; Alexander Klammer; Petra Heizer; Kerstin Brickmann; Judith Gretler; Florentine C Fürst-Moazedi; Rene Thonhofer; Josef Hermann; Winfried B Graninger; Stefan Quasthoff; Christian Dejaco
Journal:  PLoS One       Date:  2016-09-23       Impact factor: 3.240

6.  Age and Gender Confound PROMIS Scores in Spine Patients With Back and Neck Pain.

Authors:  David S Jevotovsky; Jared C Tishelman; Nicholas Stekas; Michael J Moses; Raj J Karia; Ethan W Ayres; Charla R Fischer; Aaron J Buckland; Thomas J Errico; Themistocles S Protopsaltis
Journal:  Global Spine J       Date:  2020-02-13
  6 in total

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