Effectiveness of a decision aid for patients with knee osteoarthritis: a randomized controlled trial

Conflict, Psychological Male 03 medical and health sciences 0302 clinical medicine Patient Satisfaction Decision Making Humans Female Middle Aged Osteoarthritis, Knee Aged Decision Support Techniques 3. Good health
DOI: 10.1016/j.joca.2021.06.005 Publication Date: 2021-06-24T12:47:57Z
ABSTRACT
To assess the effectiveness of a Patient Decision Aid (PtDA) for knee osteoarthritis.Randomized controlled trial, in which 193 patients were allocated to the PtDA or usual care. Outcome measures were the Decisional Conflict Scale (DCS), knowledge of osteoarthritis and arthroplasty, satisfaction with the decision-making process (SDMP) and treatment preference, assessed immediately after the intervention. At 6 months, the same measures were applied in non-operated patients, whereas those who underwent arthroplasty completed the SDMP and the Decisional Regret Scale (DRS).The PtDA produced a significant immediate improvement of decisional conflict (MD = -11.65, 95%CI: -14.93, -8.37), objective knowledge (MD = 10.37, 99%IC: 3.15, 17.70) and satisfaction (MD = 6.77, 99%CI: 1.19, 12.34), and a different distribution of preferences (χ2 = 8.74, p = 0.033). Patients with less than secondary education obtained a stronger effect on decisional conflict (p = 0.015 for the interaction) but weaker for knowledge (p = 0.051). At 6 months, there were no significant differences in any variable, including the rate of total knee replacement. Operated patients showed a low level of regret, which was not affected by the intervention.The PtDA is effective immediately after its application, but it shows no effects in the medium-term. Future research should investigate which subgroups of patients could benefit more from this intervention, as well as the longitudinal evolution of decision-related psychological variables.
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (49)
CITATIONS (11)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....