P077 Developing a better explanation of osteoarthritis: results from a conjoint analysis of patient preferences
Abstract Background/Aims Despite the negative impact of osteoarthritis (OA) and existence of evidence-based guidelines, many patients and professionals lack clarity about the nature of OA and effective treatment strategies. This project aims to improve OA explanations in consultations and investigat...
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Veröffentlicht in: | Rheumatology (Oxford, England) England), 2022-04, Vol.61 (Supplement_1) |
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Sprache: | eng |
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Zusammenfassung: | Abstract
Background/Aims
Despite the negative impact of osteoarthritis (OA) and existence of evidence-based guidelines, many patients and professionals lack clarity about the nature of OA and effective treatment strategies. This project aims to improve OA explanations in consultations and investigate the extent to which different explanation statements impact on intention to self-manage OA.
Methods
Participants registered at four general practices, aged ≥45 years, with a recorded consultation for OA in the previous two years were mailed a survey. The survey included eight pairs of potential OA explanation statements for participants to select the explanation that would most help them to self-manage their OA, alongside questions on socio-demographics, OA symptoms, comorbidity and health literacy. The OA explanations were designed using a partial-profile choice-based conjoint analysis (profile strength 4, comparison depth 3) from a set of 11 theoretically informed key attributes (Table 1). Each attribute contained two statements: one representing current information sources, and one a newly designed statement from our previous co-design work with patients and stakeholders.
Results
The survey response rate was 22% (428/1980) (average age = 65 years [SD = 10]; 66% female). The newer statement was preferred to the existing statement for 10 of the 11 statements (indicated by a positive regression coefficient) and 8 of these differences were statistically significant (p < 0.05) (Table 1). Sensitivity analyses (e.g. to adjust the model to allow for within person correlation of response, and to test for 2-way interactions between model attributes) did not change the findings from the primary model.
P077 Table 1:
Conjoint analysis results (main effects)
Statement Number and Attribute Type
Coefficient
95% CI - lower
95% CI - upper
P-value
S01: Definition
0.05
-0.02
0.11
0.152
S02: Causes
-0.08
-0.15
-0.02
0.013
S03: Impact
0.14
0.07
0.21
0.000
S04: Severity
0.12
0.06
0.19
0.000
S05: Prognosis
0.08
0.01
0.15
0.019
S06: Prevalence
0.02
-0.04
0.09
0.495
S07: Treatment effectiveness
0.23
0.16
0.30
0.000
S08: Effectiveness of exercise/ weight loss
0.20
0.13
0.27
0.000
S09: Barriers to exercise/ weight loss
0.20
0.13
0.27
0.000
S10: Self-efficacy
0.23
0.16
0.30
0.000
S11: Consequences
0.30
0.23
0.37
0.000
Conclusion
Patients with OA preferred the newer statements, with one exception (causes). The preferred statements have been discussed with the project’s Patient Advisory |
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ISSN: | 1462-0324 1462-0332 |
DOI: | 10.1093/rheumatology/keac133.076 |