Relationship Between Preoperative Expectations, Satisfaction, and Functional Outcomes in Patients Undergoing Lumbar and Cervical Spine Surgery
Bibliographic record
Abstract
STUDY DESIGN: Analysis of prospectively collected multicenter data. OBJECTIVE: To explore the relationship between preoperative expectations and postoperative outcomes and satisfaction in lumbar and cervical spine surgery. SUMMARY OF BACKGROUND DATA: Back pain is one of the most common health problems, leading to the utilization of health care resources, work loss, and sick benefits. Patient expectations influence posttreatment outcomes, both surgical and nonsurgical. There is little research on the importance of preoperative expectations in spine surgery. Existing studies evaluate the technical aspects of interventions and functional outcomes but fail to take into account patient expectations. The authors hypothesized that expectations dramatically affect spine patient satisfaction independent of functional outcomes. METHODS: Prospectively collected patient-entered data from patients undergoing lumbar and cervical spine surgery from 2 study centers collected using a Web-based patient health survey system were analyzed. The study included patients who underwent operative intervention (decompression with or without fusion) with at least a 3-month period of follow-up. Preoperative expectations were measured using the Musculoskeletal Outcomes Data Evaluation and Management System's (MODEMS) expectation survey. Postoperative satisfaction and fulfillment of expectations were measured using the MODEMS satisfaction survey. Postoperative functional outcomes were measured using the Oswestry Disability Index and 36-item short form health survey. Ordinal logistic regression multivariate modeling was used to examine predictors of postoperative satisfaction. Linear regression multivariate modeling was used to examine predictors of functional outcomes. RESULTS: Greater fulfillment of expectations led to higher postoperative satisfaction and was associated with better functional outcomes. Higher preoperative expectations led to decreased postsurgical satisfaction but were associated with improved functional outcomes. Higher postoperative satisfaction was associated with improved functional outcomes and vice versa. Type of surgery also influenced satisfaction and function, with cervical patients being less satisfied but having better functional outcomes than lumbar patients. CONCLUSION: This study showed that more than functional outcomes matter; preoperative expectations and fulfillment of expectations influence postoperative satisfaction in patients undergoing lumbar and cervical spine surgery. This underlines the importance of taking preoperative expectations into account to obtain an informed choice on the basis of the patient's preferences.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".