Veterans Affairs Primary Care Provider Perceptions of Insomnia Treatment.

STUDY OBJECTIVES: Insomnia is a widespread issue among United States adults and rates of insomnia among veterans are even higher than the general population. Prior research examining primary care provider (PCP) perspectives on insomnia treatment found that: sleep hygiene and pharmacotherapy are the primary treatments offered; PCPs tend to focus on perceived causes of insomnia rather than the insomnia itself; and neither patients nor providers are satisfied with insomnia treatment options. Although insomnia complaints are typically first reported to primary care providers, little research has focused on perspectives regarding insomnia treatment among PCPs working in the largest integrated health care system in the United States-the Veterans Affairs (VA) health care system. This study was conducted to examine VA PCP perceptions of the availability of insomnia treatments, identify specific strategies offered by PCPs, and examine perceptions regarding the importance of treating insomnia and the role of comorbid conditions. METHODS: A survey was conducted within the VA health care system. Primary care providers completed surveys electronically. RESULTS: A high percentage of veterans (modal response = 20% to 39%) seen in VA primary care settings report an insomnia complaint to their provider. Almost half of respondents do not consistently document insomnia in the medical record (46% endorsed "sometimes," "rarely," or "never"). PCPs routinely advise sleep hygiene recommendations for insomnia (ie, avoid stimulants before bedtime [84.3%], and keep the bedroom environment quiet and dark and comfortable [68.6%]) and many are uncertain if cognitive behavioral therapy for insomnia is available at their facility (43.1%). CONCLUSIONS: Findings point to the need for systems-level changes within health care systems, including the adoption of evidence-based clinical practice standards for insomnia and PCP education about the processes that maintain insomnia. COMMENTARY: A commentary on this article appears in this issue on page 937.

Patient perceptions of a comprehensive telemedicine intervention to address persistent poorly controlled diabetes.

OBJECTIVE: We studied a telemedicine intervention for persistent poorly controlled diabetes mellitus (PPDM) that combined telemonitoring, self-management support, and medication management. The intervention was designed for practical delivery using existing Veterans Affairs (VA) telemedicine infrastructure. To refine the intervention and inform the delivery of the intervention in other settings, we examined participants' experiences. METHODS: We conducted semistructured interviews with 18 Veterans who completed the intervention. We analyzed interview text using directed content analysis and categorized themes by hemoglobin A1c (HbA1c) improvement (<1% or ≥1%). RESULTS: Participants generally reported greater awareness of their blood glucose levels; however, they described dissatisfaction with the telemonitoring interface and competing demands during the intervention. Participants with <1% HbA1c improvement reported that these challenges interfered with their engagement. Participants with ≥1% HbA1c improvement reported new self-management routines despite challenges. CONCLUSION: Despite competing demands and frustration with the telemonitoring interface, many participants demonstrated intervention engagement and substantial improvement in HbA1c ($1%). Differences in engagement may reflect differing capacity to manage treatment burden. Because it relies on existing infrastructure, this intervention is a promising model for addressing PPDM within VA. Future work should focus on optimizing systems' telemedicine infrastructure; while reliance on existing infrastructure may facilitate practical delivery, and it may also limit intervention engagement by excessively contributing to treatment burden.

A blood-based biomarker panel to detect acute stroke.

BACKGROUND: The aim of this study was to develop an adjunctive, peripheral biomarker test to differentiate ischemic strokes, intracranial hemorrhages (ICHs), and stroke mimics in the acute setting. METHODS: Serum samples were collected from 167 patients who presented with an acute neurologic deficit within 24 hours of symptom onset. Patients were adjudicated to ischemic stroke, ICH, and mimic pathology groups based on clinical and radiographic findings. Samples were tested for levels of 262 potential markers. A multivariate Cox proportional hazards regression model of 5 biomarkers was built by stepwise selection and validated by bootstrapping. Its discriminative capacity was quantified by C index and net reclassification improvement (NRI). RESULTS: The final model consisted of eotaxin, epidermal growth factor receptor, S100A12, metalloproteinase inhibitor-4, and prolactin. It demonstrated a discriminative capacity for ischemic stroke versus mimic (C = .92), ischemic stroke and ICH versus mimic (C = .93), and ischemic stroke versus ICH (C = .82). The inclusion of biomarkers to a model consisting of age, race, and gender resulted in an NRI of 161% when detecting ischemic stroke versus mimic (P < .0001), an improvement of 171% when detecting ischemic strokes plus ICH versus mimic (P < .0001), and an improvement of 56% when detecting ischemic strokes versus ICH (P = .1419). CONCLUSIONS: These results suggest that information obtained from a 5-biomarker panel may add valuable information in the early evaluation and management of patients with stroke-like symptoms.