A comprehensive digital mental health screening tool for people with epilepsy: A feasibility study in UK outpatients.

BACKGROUND: Mental health symptoms are common in people with epilepsy, impacting medication adherence, quality of life, and mortality. Early detection and timely interventions for mental health symptoms will be crucial for improved outcomes but the absence of standardized screening procedures and time constraints hinder regular assessment and management. PURPOSE: To evaluate feasibility, acceptability and, value of a digital tool for identifying mental health symptoms in adult and paediatric epilepsy outpatients using electronic Patient-Reported Outcome Measures (ePROMs). METHODS AND MATERIALS: The study used an established local platform (IMPARTS - Integrating Mental and Physical Healthcare: Research Training and Services) to develop an online tool using e-PROMS for a comprehensive mental health screen (psychiatric symptoms, neurodevelopmental traits, and psychosocial/behavioural risk factors) of people with epilepsy. Prior to attending the outpatient clinical epilepsy services at King's College Hospital, participants were invited to complete the online screening tool through an SMS appointment link. RESULTS: Out of 1081 epilepsy patients (955 adults, 126 paediatric), 38.2% of adults and 51.6% of carers of paediatric patients accessed the ePROMs, with modest completion rates of 15% and 14%, respectively. Adults reported mild to significant anxiety (37.4%), minor to major depression symptoms (29.2%), and occasionally psychotic symptoms (11.1%). Adults with self-reported psychiatric symptoms reported significantly higher number of seizures, seizure burden, insomnia, autistic and ADHD traits and lower quality of life and perceived social support. Only 21% of those reporting psychiatric symptoms were receiving any form of mental health support. A large proportion of paediatric patients presented emotional/behavioural difficulties (32%), high impulsivity (38.8%), low self-esteem (27.7%), sleep difficulties (50%), comorbid neurodevelopmental syndromes (27.7%). Both groups reported good level of perceived social support. CONCLUSION: Our epilepsy adapted IMPARTS e-PROMS allowed remote screening for mental health symptoms, neurodevelopmental and resilience factors. Integrating these tools into electronic patient records might enhance early identification and facilitate referral to appropriate care pathways.

Sleep disturbances are associated with pain intensity and pain-related functional interference in patients experiencing orofacial pain.

BACKGROUND: Sleep and pain have a reciprocal relationship, interacting with psychosocial aspects including depression, anxiety, somatization and significant stressful events. OBJECTIVE: The aim of this study was to assess patients with oro-facial pain (OFP) and related sleep disturbances and determine the strongest psychosocial correlates. METHODS: A cross-sectional study of anonymized data of consecutive patients with OFP {January 2019 and February 2020} were analysed. Diagnostic and Axis-II data were integrated to assess the relationship between sleep disturbances, measured using Chronic Pain Sleep Inventory, and demographic factors, clinical comorbidities, recent stressful events, pain severity and pain- and psychological-related function. RESULTS: Five out of six patients with OFP were presented with pain-related sleep disturbances. Sleep problems were enhanced in patients with primary oro-facial headache compared with other OFP conditions. However, once the level of pain intensity and interference was accounted for, primary headache, was not a significant correlate of pain-related sleep disturbances. Multivariate analysis revealed (average) pain severity and pain interference were both significantly associated with sleep problems. There were also significant independent associations of sleep problems with somatization levels and reported experience of recent stressful events. CONCLUSION: Identifying sleep problems as a part of OFP management may be beneficial and could result in better management outcomes.

Study protocol for a case series: implementation and evaluation of an integrated mental and physical healthcare programme to screen for mental health symptoms in people with epilepsy.

INTRODUCTION: The prevalence of mental health symptoms in people with epilepsy (PWE) is elevated compared with that of the general population. These symptoms can negatively impact epilepsy management and patient outcomes but can be treated once recognised. It is, therefore, important to screen for these symptoms to identify needs and put in place appropriate support. Unfortunately, mental health symptoms are rarely addressed in epilepsy services due to time constraints, lack of resources and communication between psychological and medical professionals. These barriers can result in diagnostic overshadowing, where symptoms may be attributed to the disease and reduce the level of support PWE receive. Implementing an online screening tool embedded in the electronic health record (EHR) platform with supported referral pathways may remove some of these barriers. METHODS AND ANALYSIS: We will follow the Integrating Mental and Physical Healthcare: Research Training and Services framework, which is a routine clinical data collection tool used by clinical teams to electronically screen psychological symptoms among patients with long-term physical health conditions. Patient outcomes including mental health, physical health and psychosocial outcomes will be collected and uploaded to the EHR platform in real-time. An appropriate referral pathway will be recommended depending on severity of the outcome scores. We will initially pilot the tool for individuals aged 13 years and above through epilepsy clinics at King's College Hospital. Following this, the acceptability and feasibility of the tool will be assessed at baseline, 6 and 12 months. ETHICS AND DISSEMINATION: Ethics approval was obtained from the National Health Service Research Ethics Committee of South Central-Oxford C, reference: 21/EM/0205. This study is expected to inform the use of integrated electronic mental health screening for youth in epilepsy clinics and improve access to psychological support. The findings will be disseminated through academic peer-reviewed journals, poster presentations and scientific meetings.

Patient Global Impression of Severity Scale in Chronic Cough: Validation and Formulation of Symptom Severity Categories.

BACKGROUND: The Patient Global Impression of Severity (PGI-S) scale is a self-reported, single-item categorical scale that is increasingly used when assessing chronic cough (CC). OBJECTIVE: This study aimed to establish validity, repeatability, and responsiveness of the PGI-S scale in CC and use the scale to define discrete categories of severity when measured with other commonly used patient-reported outcome (PRO) tools. METHODS: Consecutive patients with CC completed the PGI-S scale, cough severity and urge to cough visual analog scales (VAS), and cough-specific health status Leicester Cough Questionnaire (LCQ) at a clinic visit. Validity, repeatability, and responsiveness were assessed, and threshold scores for PRO severity categories determined. RESULTS: A total of 482 participants completed the assessments; the median (interquartile range [IQR]) age was 57 (46-67) years, 71% were female, and the median (IQR) duration of cough was 48 (24-120) months. They reported a median (IQR) PGI-S score of 3 (3-4; moderate severity), cough severity VAS of 57 (31-75) mm, urge to cough VAS of 62 (40-81) mm, and LCQ of 11.5 (8.7-14.4). There were strong associations between PGI-S scores and cough severity VAS (ρ = 0.81), urge to cough VAS (ρ = 0.73), and LCQ (ρ = -0.73) (all P < .001). Repeatability of the PGI-S scale was high (n = 77); the intraclass correlation coefficient (95% confidence interval) was 0.85 (0.77-0.91) (P < .001). The PGI-S scale was responsive in participants with a treatment response (P < .001). The suggested PRO thresholds to define severe cough are ≥61 mm (cough severity VAS), ≥71 mm (urge to cough VAS), and ≤10 (LCQ). CONCLUSION: The PGI-S scale is a simple and valid tool that characterizes cough severity and is repeatable and responsive in CC. The proposed categorical severity thresholds for VAS and LCQ can provide intuitive meaning for patients and clinicians.