Key result
Surgical factors, such as length of stay and 30-day readmissions, and patient characteristics were identified as the most feasible components to monitor preoperative optimization program outcomes.
Why the study?
Preoperative optimization programs are increasingly common before total joint arthroplasty, but limited research has monitored their long-term effects on patient outcomes.
Cross-Sectional
Surgical factors and patient characteristics are the most feasible components for programs to monitor to track outcomes of patients in preoperative optimization programs for total joint arthroplasty.
Answers are grounded in this paper and cite their sources.
Supports monitoring surgical factors in preoperative programs; leaves open effects on outcomes in joint arthroplasty.
Preoperative optimization programs are becoming more common for patients seeking total joint arthroplasty; yet, limited research has been conducted to monitor the long-term effects of these programs on patient outcomes. Our aim was to develop a set of metrics that programs can use to monitor the success of preoperative optimization programs. As part of a larger survey of orthopaedic nurses, we collected data regarding current monitoring techniques for preoperative optimization programs and the feasibility of collecting specific variables. Surgical factors such as length of stay and 30-day readmissions were most often used to monitor the success of preoperative optimization programs. Surgical factors were the most likely to be accessible using the electronic medical record. Surgical factors and patient characteristics are the most feasible components for programs to monitor in order to track the outcomes of patients participating in preoperative optimization programs.
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Dlott et al. (2023) conducted a cross-sectional in Total joint arthroplasty. Preoperative optimization programs was evaluated on Current monitoring techniques and feasibility of collecting specific variables. Surgical factors, such as length of stay and 30-day readmissions, and patient characteristics were identified as the most feasible components to monitor preoperative optimization program outcomes.
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