Using Multimodal Assessments to Reevaluate Depression Designations for Spine Surgery Candidates

Author:

Benedict Braeden1ORCID,Frumkin Madelyn2ORCID,Botterbush Kathleen1ORCID,Javeed Saad1ORCID,Zhang Justin K.13ORCID,Yakdan Salim1ORCID,Neuman Brian J.4ORCID,Steinmetz Michael P.5ORCID,Ghogawala Zoher6ORCID,Kelly Michael P.7ORCID,Goodin Burel R.8ORCID,Piccirillo Jay F.9ORCID,Ray Wilson Z.1ORCID,Rodebaugh Thomas L.10ORCID,Greenberg Jacob K.1ORCID

Affiliation:

1. Department of Neurological Surgery, Washington University, St. Louis, Missouri

2. Department of Psychology and Brain Sciences, Washington University, St. Louis, Missouri

3. Department of Neurological Surgery, University of Utah, Salt Lake City, Missouri

4. Department of Orthopedic Surgery, Washington University, St. Louis, Missouri

5. Department of Neurosurgery, Cleveland Clinic Lerner College of Medicine, Cleveland, Ohio

6. Department of Neurosurgery, Lahey Hospital and Medical Center, Burlington, Massachusetts

7. Department of Orthopedic Surgery, Rady Children’s Hospital, San Diego, California

8. Department of Anesthesiology, Washington University, St. Louis, Missouri

9. Department of Otolaryngology, Washington University, St. Louis, Missouri

10. Department of Psychology and Neuroscience, University of North Carolina, Chapel Hill, North Carolina

Abstract

Background: Depression is common in spine surgery candidates and may influence postoperative outcomes. Ecological momentary assessments (EMAs) can overcome limitations of existing depression screening methods (e.g., recall bias, inaccuracy of historical diagnoses) by longitudinally monitoring depression symptoms in daily life. In this study, we compared EMA-based depression assessment with retrospective self-report (a 9-item Patient Health Questionnaire [PHQ-9]) and chart-based depression diagnosis in lumbar spine surgery candidates. We further examined the associations of each depression assessment method with surgical outcomes. Methods: Adult patients undergoing lumbar spine surgery (n = 122) completed EMAs quantifying depressive symptoms up to 5 times daily for 3 weeks preoperatively. Correlations (rank-biserial or Spearman) among EMA means, a chart-based depression history, and 1-time preoperative depression surveys (PHQ-9 and Psychache Scale) were analyzed. Confirmatory factor analysis was used to categorize PHQ-9 questions as somatic or non-somatic; subscores were compared with a propensity score-matched general population cohort. The associations of each screening modality with 6-month surgical outcomes (pain, disability, physical function, pain interference) were analyzed with multivariable regression. Results: The association between EMA Depression scores and a depression history was weak (rrb = 0.34 [95% confidence interval (CI), 0.14 to 0.52]). Moderate correlations with EMA-measured depression symptoms were observed for the PHQ-9 (rs = 0.51 [95% CI, 0.37 to 0.63]) and the Psychache Scale (rs = 0.68 [95% CI, 0.57 to 0.76]). Compared with the matched general population cohort, spine surgery candidates endorsed similar non-somatic symptoms but significantly greater somatic symptoms on the PHQ-9. EMA Depression scores had a stronger association with 6-month surgical outcomes than the other depression screening modalities did. Conclusions: A history of depression in the medical record is not a reliable indication of preoperative depression symptom severity. Cross-sectional depression assessments such as PHQ-9 have stronger associations with daily depression symptoms but may conflate somatic depression symptoms with spine-related disability. As an alternative to these methods, mobile health technology and EMAs provide an opportunity to collect real-time, longitudinal data on depression symptom severity, potentially improving prognostic accuracy. Level of Evidence: Diagnostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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