Factors affecting decision-making for knee arthroplasty in patients with osteoarthritis.

Int J Orthop Trauma Nurs

Department of Operating Room, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran. Electronic address:

Published: May 2023

Objective: Identifying factors affecting decision-making for knee arthroplasty in patients with knee osteoarthritis is critically important for pain relief, improving in knee function and reaching an optimal outcome. When decision-making is hurried or delayed, surgery may not occur in time, which complicates the surgery and increases its complications. This study was conducted to investigate the factors influencing decision-making for knee arthroplasty.

Methods: This study is a qualitative study and inductive content analysis method. This study enrolled 22 patients undergoing knee arthroplasty selected through purposive sampling. Data were collected through semi-structured in-depth interviews and analyzed using inductive content analysis.

Results: Data analysis yielded three categories: hope to return to normal life, encouragement and recommendations, and trust and assurance.

Conclusion: To make better treatment-related decisions and achieve better outcomes based on the patient's values and wishes, it is necessary for the treatment team to increase its interactions and establish stronger communication with patients to make their expectations more realistic and help them understand the risks. They should also make efforts to increase patients' knowledge about the advantages and disadvantages of surgery and clarify what is important to them in decision-making.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.ijotn.2023.101016DOI Listing

Publication Analysis

Top Keywords

decision-making knee
12
knee arthroplasty
12
factors decision-making
8
arthroplasty patients
8
inductive content
8
knee
6
patients
4
patients osteoarthritis
4
osteoarthritis objective
4
objective identifying
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!