Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Research Protocols

Date Submitted: Jan 18, 2024
Date Accepted: Aug 31, 2024

The final, peer-reviewed published version of this preprint can be found here:

Factors Influencing Outcome After Shoulder Arthroplasty (FINOSA Study): Protocol of a Prospective Longitudinal Study With Randomized Group Allocation

Claes A, De Mesel A, Struyf T, Verborgt O, Struyf F

Factors Influencing Outcome After Shoulder Arthroplasty (FINOSA Study): Protocol of a Prospective Longitudinal Study With Randomized Group Allocation

JMIR Res Protoc 2024;13:e56522

DOI: 10.2196/56522

PMID: 39556824

PMCID: 11612598

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Factors INfluencing Outcome after Shoulder Arthroplasty: a study protocol of a prospective longitudinal study with randomized group allocation The FINOSA-study

  • Anke Claes; 
  • Annelien De Mesel; 
  • Thomas Struyf; 
  • Olivier Verborgt; 
  • Filip Struyf

ABSTRACT

Background:

There is an increasing need for evidence based post-operative rehabilitation strategies to optimize patient outcome. Knowledge of potential prognostic factors could steer the development of screening and rehabilitation protocols and could result in better treatment outcomes and higher patient satisfaction.

Objective:

Therefore, the primary objective of this study is to investigate which potential prognostic factors predict baseline shoulder pain and function and its evolution in the first two years following surgery, in patients with total shoulder arthroplasty. The secondary objective is to investigate which potential prognostic factors predict baseline quality of life and its evolution in the first two years following surgery.

Methods:

To reach the aims of this project, a prospective longitudinal study, running from January 2020 to March 2025, will be carried out with a follow-up of 48 months. We will study factors such as shoulder function, patient expectations, psychosocial factors, lifestyle factors, sling wear, soft tissue integrity, and physiotherapy treatment. Descriptive statistics will be used to describe the patient population characteristics. Based on literature review, expert opinion and univariate analyses potential prognostic factors will be chosen as covariates. A mixed regression model for repeated measures will be used to assess both the evolution of the SPADI score within persons from baseline over time and the differences in evolution between subjects. Correlation analyses will be used to investigate associations between the other outcome measures such as the Constant and Murley Score, shoulder range of motion, shoulder muscle strength, and proprioception and the primary outcome measure, the Shoulder Pain And Disability Index. Potential prognostic factors not included in the model will be presented in a descriptive manner.

Results:

Data collection started in January 2020. In April 2023 the sample size was reached. Data collection is ongoing.

Conclusions:

Knowledge of potential prognostic factors will have implications towards better rehabilitation strategies of patients after total shoulder arthroplasty. Clinical Trial: ClinicalTrials.gov NCT04258267 February 6th, 2020


 Citation

Please cite as:

Claes A, De Mesel A, Struyf T, Verborgt O, Struyf F

Factors Influencing Outcome After Shoulder Arthroplasty (FINOSA Study): Protocol of a Prospective Longitudinal Study With Randomized Group Allocation

JMIR Res Protoc 2024;13:e56522

DOI: 10.2196/56522

PMID: 39556824

PMCID: 11612598

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.