Abstract

BackgroundA Pain Plan was formulated for all patients undergoing elective spine surgery at our institution. It was based on prior opioid experiences and developed collaboratively between the patient and the surgeon at a preoperative clinic visit. Category 1 patients had no previous opioid experience, Category 2 patients had remote previous opioid experience with acceptable pain control and no side effects, Category 3 patients had remote previous opioid experience with unacceptable pain control and/or side effects, and Category 4 patients had opioid use leading up to surgery. MethodsThis is a retrospective cohort study comparing adult patients within four different pain plan categories over one year (n = 313) to determine if categorization is predictive. Demographic data collected included age, gender, ASA class, BMI, smoking status, insurance status, substance abuse, and comorbid psychiatric diagnoses. Demographic factors between categories were compared and controlled for as covariates within analyses. Outcomes measures comprised self-reported pain scores and functional measurements, including inpatient opioid use, outpatient opioid prescription quantities, and postoperative healthcare utilization. ResultsInpatient and outpatient opioid use were statistically significant amongst the categories, with prescription quantities greatest in Category 4, followed by Categories 2, 3, and 1, respectively. There was no difference in LOS or complexity of communication encounters amongst any of the groups. Patient-reported pain scores showed statistically significant differences and followed the same trend as opioid quantities, 4, 2, 3, and 1. The number of communication encounters was significant exclusively for Category 3 vs. 4. ConclusionsThe use of categorization in Pain Plan formation has been a helpful tool for postoperative pain management at our institution. Categorization is predictive of pain scores and opioid use after surgery, allowing the surgical team to tailor their care and counseling towards individual patients. In addition, the plan's collaborative nature enables patients to be involved in their pain management decisions while also setting limits and expectations.

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