Literature DB >> 29730459

Are patient-reported outcome measures biased by method of follow-up? Evaluating paper-based and digital follow-up after lumbar fusion surgery.

Marc L Schröder1, Marlies P de Wispelaere2, Victor E Staartjes3.   

Abstract

BACKGROUND CONTEXT: Long-term follow-up of patient-reported outcome measures (PROM) is essential in both modern spinal care and research. Lack of time and staff are commonly reported barriers to implementing long-term follow-up of PROM. Automated and digital follow-up systems for PROM collection are seeing widespread use, yet their validity and comparative effectiveness have never been evaluated.
PURPOSE: The present study aimed to assess the validity of digital follow-up systems in comparison with the conventional paper-based follow-up (PB-FU). STUDY
DESIGN: This is a retrospective analysis of prospectively collected double follow-up data. PATIENT SAMPLE: Patients who underwent lumbar spinal fusion for spondylolisthesis or degenerative disc disease between 2013 and 2016 were included in the study. OUTCOME MEASURES: The study determined the Oswestry Disability Index (ODI) and Numeric Rating Scale (NRS) for back and leg pain severity at baseline, 6 weeks, 12 months, and 24 months.
MATERIALS AND METHODS: After lumbar spinal fusion surgery, a double follow-up of PROM was carried out by conventional PB-FU during clinical visits, while simultaneously completing an automatically dispatched digital follow-up questionnaire. As the primary end point, we assessed the intraindividual discrepancy in PROM between PB-FU and automated digital follow-up (AD-FU).
RESULTS: Forty patients completed all parts of the dual follow-up trajectory and were analyzed. We detected no discrepancy in ODI or NRS for back and leg pain severity at any of the baseline, 6-week, 12-month, or 24 month follow-ups (all p>.05). This was confirmed in a sensitivity analysis.
CONCLUSIONS: In an analysis of dual paper-based and digital follow-up after lumbar fusion surgery, patients report highly similar values using either method of follow-up. It appears that AD-FU without incentives produces lower response rates. To reassess the validity of these systems for data collection in spinal patient care, a prospective validation with higher statistical power is warranted.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Digital; Follow-up; Outcome measurement; Patient-reported outcome measure; Spinal fusion; Spine

Year:  2018        PMID: 29730459     DOI: 10.1016/j.spinee.2018.05.002

Source DB:  PubMed          Journal:  Spine J        ISSN: 1529-9430            Impact factor:   4.166


  10 in total

1.  The use of electronic PROMs provides same outcomes as paper version in a spine surgery registry. Results from a prospective cohort study.

Authors:  Francesco Langella; Paolo Barletta; Alice Baroncini; Matteo Agarossi; Laura Scaramuzzo; Andrea Luca; Roberto Bassani; Giuseppe M Peretti; Claudio Lamartina; Jorge H Villafañe; Pedro Berjano
Journal:  Eur Spine J       Date:  2021-05-10       Impact factor: 3.134

2.  Gender differences in degenerative spine surgery: Do female patients really fare worse?

Authors:  Alessandro Siccoli; Victor E Staartjes; Marlies P de Wispelaere; Marc L Schröder
Journal:  Eur Spine J       Date:  2018-08-21       Impact factor: 3.134

3.  External validation of a prediction model for pain and functional outcome after elective lumbar spinal fusion.

Authors:  Ayesha Quddusi; Hubert A J Eversdijk; Anita M Klukowska; Marlies P de Wispelaere; Julius M Kernbach; Marc L Schröder; Victor E Staartjes
Journal:  Eur Spine J       Date:  2019-10-22       Impact factor: 3.134

4.  Diagnosis of Lumbar Spondylolisthesis Using a Pruned CNN Model.

Authors:  Deepika Saravagi; Shweta Agrawal; Manisha Saravagi; Md Habibur Rahman
Journal:  Comput Math Methods Med       Date:  2022-05-10       Impact factor: 2.809

5.  Timing of Surgery in Tubular Microdiscectomy for Lumbar Disc Herniation and Its Effect on Functional Impairment Outcomes.

Authors:  Alessandro Siccoli; Marlies P de Wispelaere; Marc L Schröder; Victor E Staartjes
Journal:  Neurospine       Date:  2020-03-31

Review 6.  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 7.  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

8.  The European Robotic Spinal Instrumentation (EUROSPIN) study: protocol for a multicentre prospective observational study of pedicle screw revision surgery after robot-guided, navigated and freehand thoracolumbar spinal fusion.

Authors:  Victor E Staartjes; Granit Molliqaj; Paulien M van Kampen; Hubert A J Eversdijk; Aymeric Amelot; Christoph Bettag; Jasper F C Wolfs; Sophie Urbanski; Farman Hedayat; Carsten G Schneekloth; Mike Abu Saris; Michel Lefranc; Johann Peltier; Duccio Boscherini; Ingo Fiss; Bawarjan Schatlo; Veit Rohde; Yu-Mi Ryang; Sandro M Krieg; Bernhard Meyer; Nikolaus Kögl; Pierre-Pascal Girod; Claudius Thomé; Jos W R Twisk; Enrico Tessitore; Marc L Schröder
Journal:  BMJ Open       Date:  2019-09-08       Impact factor: 2.692

9.  Machine learning in neurosurgery: a global survey.

Authors:  Victor E Staartjes; Vittorio Stumpo; Julius M Kernbach; Anita M Klukowska; Pravesh S Gadjradj; Marc L Schröder; Anand Veeravagu; Martin N Stienen; Christiaan H B van Niftrik; Carlo Serra; Luca Regli
Journal:  Acta Neurochir (Wien)       Date:  2020-08-18       Impact factor: 2.216

10.  Influence of dynamic preoperative body mass index changes on patient-reported outcomes after surgery for degenerative lumbar spine disease.

Authors:  Alessandro Siccoli; Marc L Schröder; Victor E Staartjes
Journal:  Neurosurg Rev       Date:  2020-12-11       Impact factor: 3.042

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.