Journal of rehabilitation research and development
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The Department of Veterans Affairs traumatic brain injury (TBI) screening program is intended to detect and expedite treatment for TBI and postconcussive symptoms. Between April 14, 2007, and May 31, 2012, of 66,089 Iraq and Afghanistan Veterans who screened positive on first-level TBI screening and later completed comprehensive TBI evaluation that includes the Neurobehavioral Symptoms Inventory, 72% reported moderate to very severe cognitive impairment (problems with attention, concentration, memory, etc.) that interfered with daily activities. This included 42% who were found not to have sustained combat-related mild TBI (mTBI). ⋯ Compared with Veterans without mTBI, PTSD, or depression diagnoses, the lowest risk for self-reported cognitive impairment was in Veterans with confirmed mTBI only; a greater risk was found in those with PTSD diagnoses, with the greatest risk in Veterans with PTSD, depression, and confirmed mTBI, suggesting only a weakly additive effect of mTBI. These findings suggest that Veterans with multiple mental health comorbidities, not just those with TBI, report moderate to very severe cognitive impairment. Mental health treatment for conditions such as PTSD and depression (with or without TBI) may result in improvements in cognitive functioning and/or include assessment and support for Veterans experiencing cognitive problems.
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Review
Pain research using Veterans Health Administration electronic and administrative data sources.
Health services researchers are using Veterans Health Administration (VHA) electronic health record (EHR) data sources to examine the prevalence, treatment, and outcomes of pain among Veterans in VHA care. Little guidance currently exists on using these data; thus, findings may vary depending on the methods, data sources, and definitions used. We sought to identify current practices in order to provide guidance to future pain researchers. ⋯ Of respondents, 48% reported the EHR data sources were adequate for pain research, while 45% had published peer-reviewed articles based on the data. Despite limitations, VHA researchers are increasingly using EHR data for pain research, and several common methods were identified. More information on the performance characteristics of these data sources and definitions is needed.
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Patients with a history of substance use disorder (SUD) are more likely to be prescribed opioid medications for chronic pain than patients without an SUD history; however, little is known about prescription opioid therapy in populations composed exclusively of patients with SUD. This study examined correlates of prescription opioid therapy in 214 Veterans with chronic noncancer pain and an SUD history. Participants completed psychosocial questionnaires and participated in a structured mental health diagnostic interview, and medical diagnoses and opioid pharmacy data were abstracted from their Department of Veterans Affairs electronic medical records. ⋯ Relative to participants prescribed no or short-term opioid therapy, participants who were prescribed long-term opioid therapy had a greater number of pain diagnoses; reported higher levels of pain severity, interference, and catastrophizing; and endorsed lower chronic pain self-efficacy. In a multivariate model, number of pain diagnoses and pain interference were associated with a greater likelihood of being prescribed long-term opioid therapy after controlling for demographic and clinical characteristics. Findings highlight the poor pain-related functioning in patients with SUD histories who are prescribed long-term opioid therapy.
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Multicenter Study
Implementation of telementoring for pain management in Veterans Health Administration: Spatial analysis.
In 2011, the Veterans Health Administration (VHA) implemented a pilot telementoring program across seven healthcare networks called the Specialty Care Access Network-Extension for Community Healthcare Outcomes (SCAN-ECHO) for pain management. A VHA healthcare network is a group of hospitals and clinics administratively linked in a geographic area. We created a series of county-level maps in one network displaying (1) the location of Veterans with chronic pain, (2) VHA sites (i.e., coordinating center, other medical centers, outpatient clinics), (3) proportion of Veterans being seen in-person at pain specialty clinics, and (4) proportion of Veterans with access to a primary care provider participating in Pain SCAN-ECHO. ⋯ Mapping showed counties closer to the Pain SCAN-ECHO coordinating center had a higher rate of Veterans whose providers participated in Pain SCAN-ECHO than those further away. Regression models within networks revealed wide heterogeneity in the reach of Pain SCAN-ECHO to Veterans with low spatial access to pain care. Using geographic information systems can reveal the spatial reach of technology-based healthcare programs and inform future expansion.
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We examined whether pain outcomes (pain interference, perceived pain treatment effectiveness) vary by race and then whether opioid use moderates these associations. These analyses are part of a retrospective cohort study among 3,505 black and 46,203 non-Hispanic, white Department of Veterans Affairs (VA) patients with diagnoses of chronic musculoskeletal pain who responded to the 2007 VA Survey of Healthcare Experiences of Patients (SHEP). We used electronic medical record data to identify prescriptions for pharmacologic pain treatments in the year after diagnosis (Pain Diagnosis index visit) and before the SHEP index visit (the visit that made one eligible to complete the SHEP); pain outcomes came from the SHEP. ⋯ VA patients with opioid prescriptions between the Pain Diagnosis index visit and the SHEP index visit reported greater pain interference on the SHEP than those without opioid prescriptions during that period. Opioid prescriptions were not associated with perceived treatment effectiveness for most patients. Findings raise questions about benefits of opioids for musculoskeletal pain and point to the need for alternative treatments for addressing chronic noncancer pain.