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Background Context: Preliminary evidence has suggested favorable correlation between National Institutes of Health (NIH) Patient-Reported Outcomes Measurement Information System (PROMIS) assessments and traditional ("legacy") patient reported outcome measures (PROMs) in spine surgery. There has been a significant increase in PROMIS research with regards to spinal conditions.Purpose: The purpose of this systematic review is to provide an assessment of PROMIS Physical Function (PF) measures in this patient population.Study Design/setting: Systematic review.Methods: A systematic search of the PubMed/MEDLINE and Embase databases was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to identify published articles that referenced the various PROMIS PF measures. Two authors independently reviewed selected studies. The search returned 1,060 studies, 124 of which were selected for independent review by two authors. Of these, 37 were selected for inclusion. Mixed linear models were performed to assess for differences between legacy PROMs and PROMIS measures.Results: The combined sample size of all included studies yielded 10,296 total patients. Overall, PROMIS Physical Function (PF) measures demonstrated strong correlations with legacy PROMs when evaluating spine patients (weighted Pearson correlation, 0.589, standard error [SE]=0.023; weighted Spearman correlation, 0.702, SE=0.028). PROMIS questionnaires had significantly fewer questions than did legacy PROMs (4.2±0.30 vs. 9.53±0.82, p=.015). In spine studies, the PROMIS PF forms were completed in significantly less time than legacy PROMs (48.1±2.9 vs. 174.7±12.6 seconds, p<.001). The differences for the reliability measures and the floor and ceiling effects were not significant.Conclusions: Patient-Reported Outcomes Measurement Information System PF forms compare favorably with legacy PROMs with regard to correlations, ease of use, and quality criteria in the field of spine surgery. PROMIS PF scores correlate strongly with commonly used legacy PROMs, particularly in spine patients. Patient-Reported Outcomes Measurement Information System PF forms can be administered efficiently and to a broad patient population while remaining highly reliable. [ABSTRACT FROM AUTHOR]

Background: The ability to preoperatively predict which patients will achieve a minimal clinically important difference (MCID) after lumbar spine decompression surgery can help determine the appropriateness and timing of surgery. Patient-Reported Outcome Measurement Information System (PROMIS) scores are an increasingly popular outcome instrument.Purpose: The purpose of this study was to develop algorithms predictive of achieving MCID after primary lumbar decompression surgery.Patient Sample: This was a retrospective study at two academic medical centers and three community medical centers including adult patients 18 years or older undergoing one or two level posterior decompression for lumbar disc herniation or lumbar spinal stenosis between January 1, 2016 and April 1, 2019.Outcome Measures: The primary outcome, MCID, was defined using distribution-based methods as one half the standard deviation of postoperative patient-reported outcomes (PROMIS physical function, pain interference, pain intensity).Methods: Five machine learning algorithms were developed to predict MCID on these surveys and assessed by discrimination, calibration, Brier score, and decision curve analysis. The final model was incorporated into an open access digital application.Results: Overall, 906 patients completed at least one PROMs survey in the 90 days before surgery and at least one PROMs survey in the year after surgery. Attainment of MCID during the study period by PROMIS instrument was 74.3% for physical function, 75.8% for pain interference, and 79.2% for pain intensity. Factors identified for preoperative prediction of MCID attainment on these outcomes included preoperative PROs, percent unemployment in neighborhood of residence, comorbidities, body mass index, private insurance, preoperative opioid use, surgery for disc herniation, and federal poverty level in neighborhood of residence. The discrimination (c-statistic) of the final algorithms for these outcomes was 0.79 for physical function, 0.74 for pain interference, and 0.69 for pain intensity with good calibration. The open access digital application for these algorithms can be found here: https://sorg-apps.shinyapps.io/promis_pld_mcid/ CONCLUSION: Lower preoperative PROMIS scores, fewer comorbidities, and certain sociodemographic factors increase the likelihood of achieving MCID for PROMIS after lumbar spine decompression. [ABSTRACT FROM AUTHOR]