Healthcare resource utilization and costs 2 years pre- and post-lumbar spine surgery for stenosis: a national claims cohort study of 22,182 cases

Patient-level patterns in daily prescribed opioid dosage in single level lumbar fusion are associated with postoperative opioid dosage and adverse events: a retrospective analysis of claims data

BACKGROUND

Patients undergoing lumbar spine surgery have high rates of preoperative opioid use, which is associated with inferior outcomes and higher risks for opioid dependency postoperatively.

PURPOSE

Determine whether there are identifiable subgroups of patients that follow distinct patterns in pre- and postoperative opioid dosing. Examine how preoperative patterns in opioid dosing relate to postoperative opioid patterns, opioid cessation, and the risk for adverse events.

STUDY DESIGN/SETTING

Retrospective analysis of an administrative claims database (MeritiveTM Marketscan® Research Databases 2007-2015).

PATIENT SAMPLE

The 9,768 patients undergoing primary single level lumbar fusion.

OUTCOME MEASURES

Primary: daily morphine milligram equivalent (MME) opioid dosing calculated from prescriptions dispensed for 1 year before and after surgery; secondary: 90-day all-cause readmission and complications, 90-day acute postoperative pain, 90-day and 1-year reoperation, surgical costs, length of stay, and discharge disposition.

METHODS

Distinct patient subgroups defined by patterns of daily MME pre- and postoperatively were identified via group-based trajectory modeling. Associations between these groups and outcomes were assessed with multivariable logistic regression with risk adjustment for patient and surgical factors.

RESULTS

Among primary single level lumbar fusion patients, 59.5% filled an opioid prescription in the 3 months preceding surgery, whereas 40.5% were opioid naïve (Naïve). Five distinct subgroups of daily MME were identified among those filling opioids preoperatively: (1) Naïve to 3m (21.2% of patients): no opioids until 3 months preoperatively, escalating to 15 MME/day; (2) Low to 3m (11.4%): very low or as needed dose until 3 months preoperatively, escalating to 15 MME/day; (3) 6m Rise (6.9%): no opioids until 6 months preoperatively, escalating to >30 MME/day; (4) Medium (9.8%): increased linearly from 10 to 25 MME/day across the year before surgery; (5) High (10.0%): increased linearly from 60 to >80 MME/day across the year before surgery. These five preoperative opioid groups were related to postoperative opioids filled in a dose-response manner. The two preoperative patient groups with chronic Medium to High-dose opioid dosing were associated with increased adverse events, including all-cause readmission, reoperation, and pneumonia, whereas a low baseline group with a large, earlier preoperative rise in opioid dosing (6m Rise) had increased encounters for acute postoperative pain. Postoperatively, only 9.5% of patients did not fill an opioid prescription. Five distinct postoperative subgroups were identified based on their patterns in daily MME: Two groups ceased filling opioids within the year following surgery (33.6% of patients), and three groups declined in opioid dosage following surgery but plateaued at low (0-5 MME/day, 29.1%), medium (10-15 MME/day, 12.0%), or high (70-75 MME/day), 13.1%) doses by 1 year. Patients within the higher preoperative opioid groups were more likely to belong to the postoperative groups that were unable to cease filling opioids.

CONCLUSIONS

Identification of a patient's preoperative time trend in daily opioid use may provide significant prognostic value and help guide pain management and risk reduction efforts.

LEVEL OF EVIDENCE

III.

Patient-level payment patterns prior to single level lumbar decompression are associated with resource utilization, postoperative payments, and adverse events

BACKGROUND

Understanding patient-specific trends in costs and healthcare resource utilization (HCRU) surrounding lumbar spine surgery is critically needed to better inform surgical decision making and the development of targeted interventions.

PURPOSE

1) Identify subgroups of patients following distinct patterns in direct healthcare payments pre- and postoperatively, 2) determine whether these patterns are associated with patient and surgical factors, and 3) examine whether preoperative payment patterns are related to postoperative payments, healthcare resource utilization (HCRU), and adverse events.

STUDY DESIGN/SETTING

Retrospective analysis of an administrative claims database (IBM Marketscan Research Databases 2007-2015).

PATIENT SAMPLE

Adults undergoing primary single-level decompression surgery for lumbar stenosis (n=12,394).

OUTCOME MEASURES

Direct healthcare payments, HCRU payments (15 categories), 90-day complications and all-cause readmission, 2-year reoperation METHODS: Group-based trajectory modeling is an application of finite mixture modeling that is able to identify meaningful subgroups within a population that follow distinct developmental trajectories over time. We used this technique to identify subgroups of patients following distinct profiles in preoperative direct healthcare payments. A separate analysis was performed to identify distinct profiles in payments postoperatively. Patient and surgical factors associated with these payment profiles were assessed with multinomial logistic regression, and associations with adverse events were assessed with risk-adjusted multivariable logistic regression.

RESULTS

We identified 4 preoperative patient payment subgroups following distinct profiles in payments: Pre-Low (5.8% of patients), Pre-Early-Rising (4.8%), Pre-Medium (26.1%), and Pre-High (63.3%). Postoperatively, 3 patient subgroups were identified: Post-Low (8.9%), Post-Medium (29.6%), and Post-High (61.4%). Patients following the higher-cost pre- and postoperative payment profiles were older, more likely female, and had a greater physical and mental comorbidity burden. With each successively higher preoperative payment profile, patients were increasingly likely to have high postoperative payments, use more HCRU (particularly high-cost services such as inpatient admissions, ER, and SNF/IRF care), and experience postoperative adverse events. Following risk adjustment for patient and surgical factors, patients following the Pre-High payment profile had 209.5 (95% CI: 144.2, 309.7; p<.001) fold greater odds for following the Post-High payment profile, 1.8 (1.3, 2.5; p=.003) fold greater odds for 90-day complications, and 1.7 (1.2, 2.6; p=.035) fold greater odds for 2-year reoperation relative to patients following the Pre-Low payment profile.

CONCLUSIONS

There are identifiable subgroups of patients who follow distinct profiles in direct healthcare payments surrounding lumbar decompression surgery. These payment profiles are related to patient age, sex, and physical and mental comorbidities. Notably, preoperative payment profiles may provide prognostic value, as they are associated with postoperative costs, HCRU, and adverse events.

LEVEL OF EVIDENCE

III.

Trends in Health Care Expenditures and Patient Out-of-Pocket Expenses in Primary Anterior Cruciate Ligament Reconstruction

BACKGROUND

Anterior cruciate ligament reconstruction (ACLR) is one of the most commonly performed orthopaedic procedures in the United States, and the number of procedures is increasing annually, as is the cost. Patients are expected to shoulder a larger out-of-pocket expenditure.

PURPOSE

To answer the following questions: (1) How is reimbursement changing for ACLR, and how is this affecting patients' out-of-pocket expenditures? (2) How are reimbursements from payers and patients' out-of-pocket expenses for ACLR distributed, and how is this changing? (3) Does performing ACLR in an ambulatory surgery center (ASC) result in lower costs for payers and patients?

STUDY DESIGN

Economic and decision analysis study; Level of evidence, 4.

METHODS

A total of 37,763 patients who underwent outpatient primary arthroscopic ACLR in the United States between 2013 and 2017 were identified using the IBM MarketScan Commercial Claims and Encounters Database. Patients with concomitant procedures and revision ACLR were excluded. Recorded outcomes were total patient payments and reimbursed claim totals in US dollars.

RESULTS

Day-of-surgery reimbursement decreased 4.3% from $11,536 in 2013 to $11,044 in 2017, while patient out-of-pocket expenses increased 36% from $1085 in 2013 to $1480 in 2017. Day-of-surgery charges were the highest expense for patients, followed by physical therapy and magnetic resonance imaging (MRI) costs. Total reimbursement for MRI decreased 22.5%, while patient out-of-pocket expenses for MRI increased 166%. ACLR performed in an outpatient hospital resulted in 61% greater day-of-surgery expenditure for payers compared with ACLR performed in an ASC; however, the median total patient out-of-pocket savings for ACLRs performed in an ASC versus outpatient hospital was only $11.

CONCLUSION

Out-of-pocket expenses for patients are increasing as they are forced to cover a larger percentage of their health care costs despite overall payer reimbursement decreasing. High-deductible health plans reimbursed the least out of all insurance types while having the highest patient out-of-pocket expenditure.