ABSTRACT
CONTEXT/OBJECTIVE: Depression is the most common psychological comorbidity associated with spinal cord injury (SCI) and affects healthcare utilization and costs. This study aimed to use an International Classification of Disease (ICD) and prescription drug-based depression phenotypes to classify people with SCI, and to evaluate the prevalence of those phenotypes, associated risk factors, and healthcare utilization. DESIGN: Retrospective Observational Study. SETTING: Marketscan Database (2000-2019). PARTICIPANTS: Individuals with SCI were classified into six ICD-9/10, and prescription drugs defined phenotypes: Major Depressive Disorder (MDD), Other Depression (OthDep), Antidepressants for Other Psychiatric Conditions (PsychRx), Antidepressants for non-psychiatric condition (NoPsychRx), Other Non-depression Psychiatric conditions only (NonDepPsych), and No Depression (NoDep). Except for the latter, all the other groups were referred to as "depressed phenotypes". Data were screened for 24 months pre- and 24 months post-injury depression. INTERVENTIONS: None. OUTCOME MEASURES: Healthcare utilization and payments. RESULTS: There were 9,291 patients with SCI classified as follows: 16% MDD, 11% OthDep, 13% PsychRx, 13% NonPsychRx, 14% NonDepPsych, 33% NoDep. Compared with the NoDep group, the MDD group was younger (54 vs. 57 years old), predominantly female (55% vs. 42%), with Medicaid coverage (42% vs. 12%), had increased comorbidities (69% vs. 54%), had fewer traumatic injuries (51% vs. 54%) and had higher chronic 12-month pre-SCI opioid use (19% vs. 9%) (all P < 0.0001). Classification into a depressed phenotype before SCI was found to be significantly associated with depression phenotype post-SCI, as evidenced by those who experienced a negative change (37%) vs. a positive change (15%, P < 0.0001). Patients in the MDD cohort had higher healthcare utilization and associated payments at 12 and 24 months after SCI. CONCLUSION: Increasing awareness of psychiatric history and MDD risk factors may improve identifying and managing higher-risk patients with SCI, ultimately optimizing their post-injury healthcare utilization and cost. This method of classifying depression phenotypes provides a simple and practical way to obtain this information by screening through pre-injury medical records.
ABSTRACT
Background: Postinjury pain is a well-known debilitating complication of spinal cord injury (SCI), often resulting in long-term, high-dose opioid use with the potential for dependence. There is a gap in knowledge about the risk of opioid dependence and the associated health care utilization and cost in SCI. Objectives: To evaluate the association of SCI with postinjury opioid use and dependence and evaluate the effect of this opioid dependence on postinjury health care utilization. Methods: Using the MarketScan Database, health care utilization claims data were queried to extract 7187 adults with traumatic SCI from 2000 to 2019. Factors associated with post-SCI opioid use and dependence, postinjury health care utilization, and payments were analyzed with generalized linear regression models. Results: After SCI, individuals were more likely to become opioid users or transition from nondependent to dependent users (negative change: 31%) than become nonusers or transition from dependent to nondependent users (positive change: 14%, p < .0001). Individuals who were opioid-dependent users pre-SCI had more than 30 times greater odds of becoming dependent after versus not (OR 34; 95% CI, 26-43). Dependent users after injury (regardless of prior use status) had 2 times higher utilization payments and 1.2 to 6 times more health care utilization than nonusers. Conclusion: Opioid use and dependence were associated with high health care utilization and cost after SCI. Pre-SCI opioid users were more likely to remain users post-SCI and were heavier consumers of health care. Pre- and postopioid use history should be considered for treatment decision-making in all individuals with SCI.
Subject(s)
Opioid-Related Disorders , Spinal Cord Injuries , Adult , Humans , Analgesics, Opioid/therapeutic use , Retrospective Studies , Opioid-Related Disorders/drug therapy , Patient Acceptance of Health CareABSTRACT
STUDY DESIGN: Retrospective observational cohort study. OBJECTIVES: To describe the trend in length of stay (LOS) and its association with the rate of individuals needing total assistance with bowel management upon discharge from inpatient spinal cord injury (SCI) rehabilitation facilities. SETTING: Participants enrolled in the National Spinal Cord Injury Model Systems (NSCIMS) database. METHODS: The NSCIMS database was used to obtain bowel management characteristics from individuals (n = 15,975) aged 15 years or older discharged from inpatient rehabilitation facilities between 1988 and 2016 with known demographic factors and LOS. Levels of bowel management were defined from the functional independence measure (FIM) based on the level of assistance required to complete a bowel program. To control for changes in participant population and injury characteristics over the study period, the inverse probability of treatment weight (IPTW) technique was used. Linear and logistic regressions and the Spearman correlation coefficient were used for statistical analyses. RESULTS: The LOS significantly decreased more than ¾ of a day on average each year from 1988 (LOS: 83.16 days) to 2016 (LOS: 50.53 days). Concurrently, the odds of needing total assistance in bowel management at discharge increased 4.1% each year. The correlation between these trends was moderate (-0.63). Association analyses yielded that a 1-day decrease in average LOS was associated with a 0.53% increase in those needing total assistance for bowel management at discharge. CONCLUSION: Over the years, as inpatient rehabilitation LOS decreased, rates of those needing total assistance for bowel management at discharge increased.
