Implementer report: ICD-10 code F44.5 review for functional seizure disorder.

OBJECTIVE: The study aimed to measure the validity of International Classification of Diseases, 10th Edition (ICD-10) code F44.5 for functional seizure disorder (FSD) in the Veterans Affairs Connecticut Healthcare System electronic health record (VA EHR). METHODS: The study used an informatics search tool, a natural language processing algorithm and a chart review to validate FSD coding. RESULTS: The positive predictive value (PPV) for code F44.5 was calculated to be 44%. DISCUSSION: ICD-10 introduced a specific code for FSD to improve coding validity. However, results revealed a meager (44%) PPV for code F44.5. Evaluation of the low diagnostic precision of FSD identified inconsistencies in the ICD-10 and VA EHR systems. CONCLUSION: Information system improvements may increase the precision of diagnostic coding by clinicians. Specifically, the EHR problem list should include commonly used diagnostic codes and an appropriately curated ICD-10 term list for 'seizure disorder,' and a single ICD code for FSD should be classified under neurology and psychiatry.

Treatment of psychogenic nonepileptic seizures (PNES) using video telehealth.

OBJECTIVE: Previous studies have shown the effectiveness of manual-based treatment for psychogenic nonepileptic seizures (PNES), but access to mental health care still remains a problem, especially for patients living in areas without medical professionals who treat conversion disorder. Thus, we evaluated patients treated with cognitive behavioral therapy-informed psychotherapy for seizures with clinical video telehealth (CVT). We evaluated neuropsychiatric and seizure treatment outcomes in veterans diagnosed with PNES seen remotely via telehealth. We hypothesized that seizures and comorbidities will improve with treatment. METHODS: This was a single-arm, prospective, observational, cohort, consecutive outpatient study. Patients with video-electroencephalography-confirmed PNES (n = 32) documented their seizure counts daily and comorbid symptoms prospectively over the course of treatment. Treatment was provided using a 12-session manual-based psychotherapy treatment given once per week, via CVT with a clinician at the Providence Veterans Affairs Medical Center. RESULTS: The primary outcome, seizure reduction, was 46% (P = .0001) per month over the course of treatment. Patients also showed significant improvements in global functioning (Global Assessment of Functioning, P = < .0001), quality of life (Quality of Life in Epilepsy Inventory-31, P = .0088), and health status scales (Short Form 36 Health Survey, P < .05), and reductions in both depression (Beck Depression Inventory-II, P = .0028) and anxiety (Beck Anxiety Inventory, P = .0013) scores. SIGNIFICANCE: Patients with PNES treated remotely with manual-based seizure therapy decreased seizure frequency and comorbid symptoms and improved functioning using telehealth. These results suggest that psychotherapy via telehealth for PNES is a viable option for patients across the nation, eliminating one of the many barriers of access to mental health care.

Examination of Potential Differences in Reporting of Sensitive Psychosocial Measures via Diagnostic Evaluation Using Computer Video Telehealth.

OBJECTIVE: The authors compared baseline characteristics and reporting of psychosocial measures among veterans with seizures who were evaluated in-clinic or remotely via computer video telehealth (CVT). It was hypothesized that the CVT group would report less trauma history, drug use, and comorbid symptoms compared with veterans seen in-clinic. METHODS: A cross-sectional design was used to compare 72 veterans diagnosed with psychogenic nonepileptic seizures (PNES) or concurrent mixed epilepsy and PNES who were consecutively evaluated by a single clinician at the Providence Veterans Affairs Medical Center (PVAMC) Neuropsychiatric Clinic. In-clinic evaluations of veterans were performed at the PVAMC Neuropsychiatric Clinic (N=16), and remote evaluations of veterans referred to the VA National TeleMental Health Center were performed via CVT (N=56). All 72 patients were given comprehensive neuropsychiatric evaluations by direct interview, medical examination, and medical record review. Veterans' reporting of trauma and abuse history, drug use, and psychiatric comorbidities was assessed, along with neurologic and psychiatric variables. RESULTS: No significant differences were found between veterans evaluated in-clinic or remotely with regard to baseline characteristics and reporting of potentially sensitive information, including trauma and abuse history, substance use, and comorbid symptoms. CONCLUSIONS: Veterans with PNES evaluated via telehealth did not appear to withhold sensitive or personal information compared with those evaluated in-clinic, suggesting that CVT may be a comparable alternative for conducting evaluations. Baseline evaluations are used to determine treatment suitability, and telehealth allows clinicians to gain access to important information that may improve or inform care.

Managing Functional Neurological Disorders: Protocol of a Cohort Study on Psychogenic Non-Epileptic Seizures Study.

BACKGROUND: Functional neurological disorders (FNDs) are neurological symptoms that cannot be explained by an underlying neurological lesion or other medical illness and that do not have clear neuropathological correlates. Psychogenic non-epileptic seizures (PNES) are a common and highly disabling form of FND, characterized by paroxysmal episodes of involuntary movements and altered consciousness that can appear clinically similar to epileptic seizures. PNES are unique among FNDs in that they are diagnosed by video electroencephalographic (VEEG), a well-established biomarker for the disorder. The course of illness and response to treatment of PNES remain controversial. This study aims to describe the epidemiology of PNES in the Department of Veterans Affairs Healthcare System (VA), evaluate outcomes of veterans offered different treatments, and compare models of care for PNES. METHODS: This electronic health record (EHR) cohort study utilizes an informatics search tool and a natural language processing algorithm to identify cases of PNES nationally. We will use VA inpatient, outpatient, pharmacy, and chart abstraction data across all 170 medical centers to identify cases in fiscal years 2002-2018. Outcome measurements such as seizure frequency, emergency room visits, hospital admissions, suicide-related behavior, and the utilization of psychotherapy prior to and after PNES diagnosis will be used to assess the effectiveness of models of care. DISCUSSION: This study will describe the risk factors and course of treatment of a large cohort of people with PNES. Since PNES are cared for by a variety of different modalities, treatment orientations, and models of care, effectiveness outcomes such as seizure outcomes and utilization of emergency visits for seizures will be assessed. Outcome measurements such as seizure frequency, emergency room visits, hospital admissions, suicide-related behavior, and psychotherapy prior to and after PNES diagnosis will be used to assess the effectiveness of models of care.

Care coordination in epilepsy: Measuring neurologists' connectivity using social network analysis.

OBJECTIVE: The study sought to quantify coordination of epilepsy care, over time, between neurologists and other health care providers using social network analysis (SNA). METHODS: The Veterans Health Administration (VA) instituted an Epilepsy Center of Excellence (ECOE) model in 2008 to enhance care coordination between neurologists and other health care providers. Provider networks in the 16 VA ECOE facilities (hub sites) were compared to a subset of 33 VA facilities formally affiliated (consortium sites) and 14 unaffiliated VA facilities. The number of connections between neurologists and each provider (node degree) was measured by shared epilepsy patients and tallied to generate estimates at the facility level separately within and across facilities. Mixed models were used to compare change of facility-level node degree over time across the three facility types, adjusted for number of providers per facility. RESULTS: Over the time period 2000-2013, epilepsy care coordination both within and across facilities significantly increased. These increases were seen in all three types of facilities namely hub, consortium, and unaffiliated site, relatively equally. The increase in connectivity was more dramatic with providers across facilities compared to providers within the same facilities. CONCLUSION: Establishment of the ECOE hub and spoke model contributed to an increase in epilepsy care coordination both within and across facilities from 2000 to 2013, but there was substantial variation across different facilities. SNA is a tool that may help measure coordination of specialty care.

Incidence of Mental Health Diagnoses in Veterans of Operations Iraqi Freedom, Enduring Freedom, and New Dawn, 2001-2014.

OBJECTIVES: To evaluate gender, age, and race/ethnicity as predictors of incident mental health diagnoses among Operations Iraqi Freedom, Enduring Freedom, and New Dawn veterans. METHODS: We used US Veterans Health Administration (VHA) electronic health records from 2001 to 2014 to examine incidence rates and sociodemographic risk factors for mental health diagnoses among 888 142 veterans. RESULTS: Posttraumatic stress disorder (PTSD) was the most frequently diagnosed mental health condition across gender and age groups. Incidence rates for all mental health diagnoses were highest at ages 18 to 29 years and declined thereafter, with the exceptions of major depressive disorder (MDD) in both genders, and PTSD among women. Risk of incident bipolar disorder and MDD diagnoses were greater among women; risk of incident schizophrenia, and alcohol- and drug-use disorders diagnoses were greater in men. Compared with Whites, risk incident PTSD, MDD, and alcohol-use disorder diagnoses were lower at ages 18 to 29 years and higher at ages 45 to 64 years for both Hispanics and African Americans. CONCLUSIONS: Differentiating high-risk demographic and gender groups can lead to improved diagnosis and treatment of mental health diagnoses among veterans and other high-risk groups.