Changes in psychotropic prescription medication use and their relationship with mortality among people with traumatic spinal cord injury

Depression phenotypes in spinal cord injury and impact on post-injury healthcare utilization and cost: Analysis using a large claim database

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 StudySetting: 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: NoneOutcome Measures: Healthcare utilization and paymentsResults: 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.

Opioid Dependence and Associated Health Care Utilization and Cost in Traumatic Spinal Cord Injury Population: Analysis Using Marketscan Database

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.

Staying Pressure Injury Free: The Role of Modifiable Behaviors

OBJECTIVE

To investigate the association of behavioral factors with retrospective reports of staying free from pressure injuries (PIs) during a 12-month period for people with chronic spinal cord injury (SCI).

DESIGN

Cross-sectional survey.

SETTING

Data collection was completed at an academic medical center in the Southeastern United States in collaboration with a specialized treatment center and 2 public health registries that use population-based approaches to identify all incident cases of SCI within the state.

PARTICIPANTS

The participant cohort was composed of 3817 adults (N=3817) with traumatic SCI of at least 1-year duration.

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

Self-reported recall of staying PI-free for 12 months vs having 1 or more PIs.

RESULTS

Among the 3817 participants, 74% were male, 76% were non-Hispanic White, and mean age was 48 years, with an average of 12 years post SCI. Based on self-report assessment, 67% reported being PI-free in the past year. After controlling for the demographic and injury characteristics, we found that those in the clinical cohort and those who reported healthy diets and planned exercise at least once a week were more likely to be PI-free; being underweight and high frequency of prescription medication use for spasticity, pain, and depression were negatively associated with being PI-free. Smoking, alcohol use, nonmedical substance use, and prescription medication misuse were not statistically significant in the multivariate model.

CONCLUSIONS

There are several significant behavioral predictors of being PI-free, and consideration of these factors may be used to develop tailored strategies to promote healthy skin maintenance and the prevention of multiple, severe, and recurrent PI.

The relationship between health behaviors and emergency department visits and hospitalizations after traumatic spinal cord injury

STUDY DESIGN

Cross-sectional study.

OBJECTIVE

To identify demographic, injury, and behavioral predictors of emergency department (ED) visits and ED-related hospitalizations among individuals with chronic traumatic spinal cord injury (SCI).

SETTING

An academic medical center in the Southeastern United States.

METHODS

4057 participants who were at least 18 years of age and 1 year post traumatic SCI with residual neurologic impairment were identified from three cohorts: a rehabilitation specialty hospital in the Southeastern USA and two SCI Surveillance System Registries, one in the Midwestern and one in the Southeastern USA. The participants completed a self-reported assessment on ED visits and ED hospitalizations (yes/no) in the past 12 months. Logistic regression models were used to examine the relationship between ED visits/hospitalizations and eight behavioral indicators, including body weight, healthy diet, drinking, smoking, non-medical substance usage, prescription medication usage, prescription medication misuse, and the planned exercise.

RESULTS

During the study period, 41% of participants reported having at least one ED visit and 21% participants reported hospitalization after ED visit in the past 12 months. High frequency of prescription medication usage, prescription medication misuse, and lack of planned exercise were associated with greater odds of at least one ED visit and at least one ED-related hospitalization, while smoking was only associated with ED visits.

CONCLUSIONS

Health care professionals should be aware that ED visit and related hospitalization prevalence remain high among people with chronic SCI, and there is significant need for intervention of managing risk behaviors and promoting healthy behaviors after SCI.

Opioid Use Among Individuals With Spinal Cord Injury: Prevalence Estimates Based on State Prescription Drug Monitoring Program Data

OBJECTIVE

To identify the prevalence of opioid use in individuals with chronic spinal cord injury (SCI) living in South Carolina.

DESIGN

Cohort study.

SETTING

Data from 2 statewide population-based databases, an SCI Registry and the state prescription drug monitoring program, were linked and analyzed.

PARTICIPANTS

The study included individuals (N=503) with chronic (>1y) SCI who were injured between 2013 and 2014 in South Carolina and who survived at least 3 years postinjury.

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

Filled opioid prescriptions over a 2-year period (months 13-36 after injury). The main outcomes were total number of days with an opioid prescription over the 2-year period, length of coverage period [(final day of prescription coverage+the days supplied)-first day of prescription coverage], average daily morphine milligram equivalents (MME) over the coverage period, and concurrent days covered by an opioid and a prescription for benzodiazepines, sedatives, or hypnotics.

RESULTS

A total of 53.5% of the cohort (269 individuals) filled at least 1 opioid prescription during their second or third year after SCI. In total, there were 3386 opioid fills during the 2-year study. On average, the total number of opioid prescription days was 293±367. The average coverage period was 389±290 days, and the average daily MME during the coverage period was 41±70 MME. Of those who filled an opioid prescription, 23% had high-risk fills (>50 MME), and 38% had concurrent prescriptions for benzodiazepines, sedatives, or hypnotics.

CONCLUSIONS

The prevalence of opioid use was high among individuals with chronic SCI, exceeding rates observed in the general population. Also concerning were the rates of high-risk fills, based on average daily MME and concurrent benzodiazepine, sedative, or hypnotic prescriptions. These findings, taken together with those of earlier studies, should be used by providers to assess and monitor opioid use, decrease concurrent high-risk medication use, and attenuate the risk of adverse outcomes.

Psychotropic and Opioid-Based Medication Use among Economically Disadvantaged African-American Older Adults

African-American older adults, particularly those who live in economically deprived areas, are less likely to receive pain and psychotropic medications, compared to Whites. This study explored the link between social, behavioral, and health correlates of pain and psychotropic medication use in a sample of economically disadvantaged African-American older adults. This community-based study recruited 740 African-American older adults who were 55+ yeas-old in economically disadvantaged areas of South Los Angeles. Opioid-based and psychotropic medications were the outcome variables. Gender, age, living arrangement, socioeconomic status (educational attainment and financial strain), continuity of medical care, health management organization membership, sleeping disorder/insomnia, arthritis, back pain, pain severity, self-rated health, depressive symptoms, and major chronic conditions were the explanatory variables. Logistic regression was used for data analyses. Arthritis, back pain, severe pain, and poor self-rated health were associated with opioid-based medications. Pain severity and depressive symptoms were correlated with psychotropic medication. Among African-American older adults, arthritis, back pain, poor self-rated health, and severe pain increase the chance of opioid-based and psychotropic medication. Future research should test factors that can reduce inappropriate and appropriate use and prescription of opioid-based and psychotropic medication among economically disadvantaged African-American older adults.