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Patient Preferences for Conservative Treatment of Shoulder Pain: a Discrete Choice Experiment

Overview
Journal Fam Pract
Specialty Public Health
Date 2024 Oct 10
PMID 39388636
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Abstract

Background: Shoulder pain is common amongst adults, but little is known about patients' preferences.

Objective: The aim of this study was to determine patients' preferences for treatment options offered for shoulder pain in primary care.

Methods: A discrete choice experiment was used to investigate these preferences. Adults with shoulder pain were asked to make 12 choices between two treatment options, or to opt-out. The attributes of the 12 treatment options were presented as varying in: treatment effectiveness (50%, 70%, or 90%), risk of relapse (10%, 20%, or 30%), time to pain reduction (2 or 6 weeks), prevention of relapse (yes/no), requiring injection (yes/no), and including physiotherapy (none, 6, or 12 sessions). A conditional logit model with latent class analysis was used for the analysis and a class assignment model.

Results: Three hundred and twelve participants completed the questionnaire with mean age of 52 ± 15.2 years. Latent class analysis revealed three groups. Group 1 preferred to opt-out, unless the attributes were highly favorable (90% effectiveness). Group 2 preferred treatment, but not an injection. Group 3 preferred to opt-out and did not opt for treatment. The likelihood of a participant belonging to one of these groups was 68.8%, 9.3%, and 21.9%, respectively. The class assignment was related to having previously received injection or physiotherapy, as they did not prefer that same treatment again.

Conclusion: This study showed that most patients with shoulder pain prefer to opt-out, unless treatment attributes are highly favorable. Characteristics of influence on this decision was whether the patient had received an injection or physiotherapy before.

References
1.
Ryan M . Discrete choice experiments in health care. BMJ. 2004; 328(7436):360-1. PMC: 341374. DOI: 10.1136/bmj.328.7436.360. View

2.
Bridges J, Hauber A, Marshall D, Lloyd A, Prosser L, Regier D . Conjoint analysis applications in health--a checklist: a report of the ISPOR Good Research Practices for Conjoint Analysis Task Force. Value Health. 2011; 14(4):403-13. DOI: 10.1016/j.jval.2010.11.013. View

3.
Borsook D, Youssef A, Simons L, Elman I, Eccleston C . When pain gets stuck: the evolution of pain chronification and treatment resistance. Pain. 2018; 159(12):2421-2436. PMC: 6240430. DOI: 10.1097/j.pain.0000000000001401. View

4.
Maxwell C, Robinson K, McCreesh K . Understanding Shoulder Pain: A Qualitative Evidence Synthesis Exploring the Patient Experience. Phys Ther. 2020; 101(3). DOI: 10.1093/ptj/pzaa229. View

5.
Lancsar E, Louviere J . Conducting discrete choice experiments to inform healthcare decision making: a user's guide. Pharmacoeconomics. 2008; 26(8):661-77. DOI: 10.2165/00019053-200826080-00004. View