Veterans with chronic pain: Examining gender differences in pain type, overlap, and the impact of post-traumatic stress disorder.

BACKGROUND: Women are more likely to experience multiple overlapping pain conditions (MOPCs) relative to men. Post-traumatic stress disorder can negatively impact the severity and trajectory of chronic pain and its treatment. Specific associations between gender, post-traumatic stress disorder (PTSD), and MOPCs require further examination. METHODS: A cohort of all Veterans in 2021 who met criteria for one or more of 12 chronic pain types was created using national Veterans Health Administration administrative data. MOPCs were defined as the number of pain types for which each patient met criteria. Multivariable logistic regression models estimated gender differences in frequency for each of the 12 pain subtypes, after controlling for demographics and comorbidities. Negative binomial regression was used to estimate gender differences in the count of MOPCs and to explore moderation effects between gender and PTSD. RESULTS: The cohort included 1,936,859 Veterans with chronic pain in 2021, which included 12.5% women. Among those with chronic pain, women Veterans had higher rates of MOPCs (mean = 2.3) relative to men (mean = 1.9): aIRR = 1.31, 95% CI: 1.30-1.32. PTSD also served as an independent risk factor for MOPCs in adjusted analysis (aIRR = 1.23, 95% CI: 1.23-1.24). The interaction term between gender and PTSD was not significant (p = 0.87). Independent of PTSD, depressive disorders also served as a strong risk factor for MOPCs (aIRR = 1.37, 95% CI: 1.36-1.37). CONCLUSIONS: Individuals with MOPCs and PTSD may have complex treatment needs. They may benefit from highly coordinated trauma-sensitive care and integrated interventions that simultaneously address pain and PTSD. SIGNIFICANCE: Women were significantly more likely than men to experience MOPCs. PTSD was also significantly, independently, associated with MOPCs. Patients, particularly women, may benefit from tailored interventions that address both trauma and MOPCs.

Rurality impacts pain care for female veterans similarly to male veterans.

PURPOSE: Rural disparities exist in access to multidisciplinary pain care with higher rates of opioid prescribing in rural regions. Among Veterans, who have prevalent rates of chronic pain, women often evidence complex presentations, multiple comorbidities, and dissatisfaction with care. This study investigates the impact of rurality on pain care for women specifically, and whether this varies from the impact of rurality for men. METHODS: A cohort of Veterans with chronic pain in 2018 was built utilizing VA administrative data. Variables of interest included: demographic, comorbidities, medications, and health care utilization for chronic pain. FINDINGS: The cohort included 2,261,030 Veterans; 11% (n = 248,977) were women. Significantly fewer women (7%) compared to men (10.7%) received long-term opioids (adjusted OR = 0.77, 95% CI: 0.75-0.78). Men, relative to women, were also more likely to receive gabapentinoids and nonsteroidal ant-inflammatory drugs, whereas women, relative to men, were more likely to receive muscle relaxants and duloxetine. Women were more likely to receive most psychiatric medications. Rural women received more primary care visits compared to urban women (adjusted OR = 1.19, 95% CI: 1.15-1.22), but fewer women's clinic visits (a subset of primary care visits: adjusted OR = 0.69, 95% CI:0.67-0.71) and fewer pain specialty care visits (physical therapy, pain clinic, and mental health visits with pain codes). Rural effects did not vary substantially between women and men. CONCLUSIONS: Rural-dwelling Veterans received more pain and psychiatric medications compared to urban Veterans and fewer specialty care visits. Rural Veterans may benefit from increased access to specialty chronic pain care.

Differences in chronic pain care receipt among veterans from differing racialized groups and the impact of rural versus urban residence.

PURPOSE: The current study aimed to identify differences in Veterans Affairs (VA) chronic pain care for Black, Asian, and Hispanic Americans, compared to non-Hispanic White Americans, and examine the intersection of race and rurality. METHODS: Using national administrative data, all veterans who presented to the VA for chronic pain in 2018 were included. Demographic and comorbidity variables were built from 2018 data and health care utilization variables from 2019 data. Multivariate log-binomial regression models examined differences between racialized groups, and interactions with rural/urban residence, for each health care utilization variable. FINDINGS: The full cohort included 2,135,216 veterans with chronic pain. There were no differences between racialized groups in pain-related primary care visits. Black Americans were less likely to receive pain clinic visits (aRR = 0.87, CI: 0.86-0.88). Rurality further decreased the likelihood of Black Americans visiting a pain clinic. Black, Hispanic, and Asian Americans were more likely to receive pain-related physical therapy visits relative to White Americans. Black and Hispanic Americans were more likely to present to emergency/urgent care for chronic pain. While there were no differences in pain-related primary care visits, the decreased likelihood of pain clinic visits and increased use of emergency department/urgent care among Black Americans could indicate inadequate management of chronic pain. CONCLUSIONS: Tailored strategies are needed to provide equitable care that meets the needs of patients from racialized groups while accounting for systemic and cultural factors.

Opioid prescribing patterns for acute pain.

PURPOSE: The current study aimed to identify patients presenting with acute pain who may be at risk for a complicated trajectory, via identifying clusters of early opioid prescribing patterns. METHODS: National Veterans Affairs administrative data were utilized to build a cohort of outpatients with acute pain presentations and no more than minimal opioid use in the prior year. Latent Class Analyses (LCAs) identified clusters of early opioid prescribing patterns. The risk of progression to long-term opioid use was contrasted between LCA clusters using log-binomial regression, adjusting for confounding variables. RESULTS: The 2018 cohort included N = 191,283. Among the 27,890 who received an initial opioid prescription, LCA classes were identified using: first supply day, total days dispensed across 30 days, opioid type, dose and number of prescriptions across the first 30 days. In the three-class model: class 1 indicated an immediate, low-dose and brief supply; class 2 included delayed, low-dose and longer duration prescriptions and class 3 included delayed, high-dose and moderate duration prescriptions. Adjusted relative risk ratios for progression to long-term opioid use in the following year were 3.33 (95% CI: 2.71-4.10) for class 1 (absolute risk 1.1%); 7.76 (95% CI: 6.69-8.99) for class 2 (3.1%) and 6.81 (95% CI: 5.72-8.12) for class 3 (2.4%) compared to patients who did not receive an acute opioid prescription (0.3%). CONCLUSIONS: These clusters of acute opioid prescribing could facilitate the identification of patients who may benefit from enhanced pain care earlier in the pain trajectory and decrease future reliance on long-term opioid therapy.