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Background Interest in complementary and integrative health (CIH) approaches, such as meditation, yoga, and acupuncture, continues to grow. The evidence of effectiveness for some CIH approaches has increased in the last decade, especially for pain, with many being recommended in varying degrees in national guidelines. To offer nonpharmacological health management options and meet patient demand, the nation’s largest integrated healthcare system, the Veterans Health Administration (VA), greatly expanded their provision of CIH approaches recently. Objective This paper addressed the questions of how many VA patients might use CIH approaches and chiropractic care if they were available at modest to no fee, and would patients with some health conditions or characteristics be more likely than others to use these therapies. Design Using electronic medical records, we conducted a national, three-year, retrospective analysis of VA patients’ use of eleven VA-covered therapies: chiropractic care, acupuncture, Battlefield Acupuncture, biofeedback, clinical hypnosis, guided imagery, massage therapy, meditation, Tai Chi/Qigong, and yoga. Participants We created a national cohort of veterans using VA healthcare from October 2016–September 2019. Key Results Veterans’ use of these approaches increased 70% in three years. By 2019, use was 5.7% among all VA patients, but highest among patients with chronic musculoskeletal pain (13.9%), post-traumatic stress disorder (PTSD; 10.6%), depression (10.4%), anxiety (10.2%), or obesity (7.8%). The approach used varied by age and race/ethnicity, with women being uniformly more likely than men to use each approach. Patients having chronic musculoskeletal pain, obesity, anxiety, depression, or PTSD were more likely than others to use each of the approaches. Conclusions Veterans’ use of some approaches rapidly grew recently and was robust, especially among patients most in need. This information might help shape federal/state health policy on the provision of evidence-based CIH approaches and guide other healthcare institutions considering providing them.

Glioblastoma (GBM) is the most common and aggressive form of malignant glioma in adults with a median overall survival (OS) time of 16–18 months and a median age of diagnosis at 64 years old. Recent work has suggested that depression and psychosocial distress are associated with worse outcomes in patients with GBM. We therefore hypothesized that the targeted neutralization of psychosocial distress with selective serotonin reuptake inhibitor (SSRI) antidepressant treatment would be associated with a longer OS among patients with GBM. To address this hypothesis, we retrospectively studied the association between adjuvant SSRI usage and OS in GBM patients treated by Northwestern Medicine-affiliated providers. The medical records of 497 GBM patients were analyzed after extraction from the Northwestern Medicine Enterprise Data Warehouse. Data were retrospectively studied using a multivariable Cox model with SSRI use defined as a time-dependent variable for estimating the association with OS. Of the 497 patients, 315 individuals died, while 182 were censored due to the loss of follow-up or were alive at the end of our study. Of the 497 patients, 151 had a recorded use of SSRI treatment during the disease course. Unexpectedly, SSRI usage was not associated with an OS effect in both naïve (HR ​= ​0.81, 95% CI ​= ​0.64–1.03) and adjusted time-dependent (HR ​= ​1.26, 95% CI ​= ​0.97–1.63) Cox models. Ultimately, we failed to find an association between SSRI treatment and an improved OS of patients with GBM. Additional work is necessary for understanding the potential therapeutic effects of SSRIs when combined with other treatment approaches, and immunotherapies in particular, for subjects with GBM.

Glioblastoma (GBM) is the most common and aggressive form of primary brain tumor in adults. We recently investigated the hypothesis that treating GBM patients with psychosocial modifiers would be associated with improved overall survival (OS). Our study retrospectively analyzed 497 patients with GBM treated at Northwestern Medicine with or without selective serotonin reuptake inhibitors (SSRI) between the years 2000 and 2018. Information from the Northwestern Medicine Enterprise Data Warehouse was analyzed for baseline covariates including sex, age at diagnosis, type of surgery, and Charlson Comorbidity Index Score. Approximately one-third of analyzed patients were prescribed SSRIs, with highly variable treatment times. Several statistical methods were used to perform adjusted analyses including: (i) an extended Cox Proportional Hazards Model with SSRI as a time-dependent variable; (ii) a Cox Model using inverse probability weights; and (iii) a Cox Proportional Hazards model with landmark analyses. The hazard ratios (95% CIs) for each statistical model analyzing the association between SSRI treatment and OS were (i) 1.26 (0.97–1.63), (ii) 1.06 (0.8–1.4), and (iii) ranged from 1.01 (0.74–1.38) to 1.26 (0.75–2.09). Our analysis found no significant association between the time of SSRI treatment and GBM patient OS. Future work will study additional considerations for psychosocial modifier treatment and their potential effect(s) on GBM patient OS including: (i) confounders due to the extent of cancer treatment; (ii) comorbidities not associated with tumor burden; (iii) absolute leukocyte counts; and (iv) length of treatment time required for enhancing immune-mediated anti-GBM mechanisms.