» Articles » PMID: 38541071

Functional Status Correlates of Change and Stability in Appraisal After Spine Surgery: Earlier Versus Later Effects

Overview
Journal J Pers Med
Date 2024 Mar 28
PMID 38541071
Authors
Affiliations
Soon will be listed here.
Abstract

Spine surgery generally yields a notable improvement in patients' health state, and there is variability in measured patient outcomes after spine surgery. The present work aimed to describe for clinicians how appraisal underlies their patients' experience of healthcare interventions. This prospective longitudinal cohort study (n = 156) included adults undergoing spine surgery for degenerative spinal conditions. The analysis was a descriptive illustration of the relationship between change in the spine-related disability using the Oswestry Disability Index and change in cognitive-appraisal processes using the Quality-of-Life Appraisal Profilev2-Short Form, early versus later during the recovery trajectory (i.e., between baseline and 3 months post-surgery; and between 3 and 12 months post-surgery). Cognitive-appraisal processes related to Sampling of Experience showed greater change soon after surgery, whereas Standards of Comparison appraisals changed more later in the recovery trajectory. Different appraisal processes were emphasized by patients who reported worsening of the spine-related disability, as compared to those who reported no change or improvement. These findings suggest that changes in appraisal differ depending on the individual's experience of the impact of spine surgery. Appraisal processes thus reflect an ongoing dynamic in adaptation to changing function.

References
1.
Spinhoven P, Ter Kuile M, Kole-Snijders A, Hutten Mansfeld M, den Ouden D, Vlaeyen J . Catastrophizing and internal pain control as mediators of outcome in the multidisciplinary treatment of chronic low back pain. Eur J Pain. 2004; 8(3):211-9. DOI: 10.1016/j.ejpain.2003.08.003. View

2.
Sniderman J, Stark R, Schwartz C, Imam H, Finkelstein J, Nousiainen M . Patient Factors That Matter in Predicting Hip Arthroplasty Outcomes: A Machine-Learning Approach. J Arthroplasty. 2021; 36(6):2024-2032. DOI: 10.1016/j.arth.2020.12.038. View

3.
Chang H, Herr K, Sohn J, Cha B, Yom Y . Prediction of pain outcomes in Korean older adults: use of a structural equation model. Pain Med. 2007; 8(1):75-83. DOI: 10.1111/j.1526-4637.2007.00231.x. View

4.
Schwartz C, Rapkin B, Borowiec K, Finkelstein J . Cognitive Processes during Recovery: Moving toward Personalized Spine Surgery Outcomes. J Pers Med. 2022; 12(10). PMC: 9605664. DOI: 10.3390/jpm12101545. View

5.
Weinstein J, Tosteson T, Lurie J, Tosteson A, Blood E, Hanscom B . Surgical versus nonsurgical therapy for lumbar spinal stenosis. N Engl J Med. 2008; 358(8):794-810. PMC: 2576513. DOI: 10.1056/NEJMoa0707136. View