Patient-reported outcomes via electronic health record portal versus telephone: a pragmatic randomized pilot trial of anxiety or depression symptoms in epilepsy

Integrated care for mental health in epilepsy: A systematic review and meta-synthesis by the International League Against Epilepsy Integrated Mental Health Care Pathways Task Force

Mental health (MH) comorbidities are prevalent among people with epilepsy (PWE), but many experience challenges accessing care. To address this, suggestions have been made to integrate MH care into epilepsy care settings, yet the current approaches, benefits, and implementation determinants to MH care integration are unclear. This review aims to synthesize existing integrated MH care models for PWE to inform the development and planning of future initiatives. We searched Embase, Medline, PsycINFO, and Cochrane for articles that described any activity within a health care setting that addressed MH as routine care for PWE. Year of publication was restricted to 2000 onward. At least two authors reviewed articles and extracted data. Barriers, facilitators, and future recommendations were identified through thematic synthesis using NVivo. Study quality was assessed for articles reporting clinical outcomes. Following review of 7520 abstracts and 596 full-text articles, 65 met eligibility criteria and were included. Most (k = 43, 66%) described routine MH screening, with 11 reporting on uptake and acceptability, which was generally high. Interventions included psychological interventions (k = 23, 35%), psychoeducation (k = 9, 14%), and pharmacotherapy (k = 6, 9%). Thirteen articles (20%) reported on changes in MH outcomes, all of which indicated some improvements in MH, but 33% were rated as poor quality. Thirty-four (52%) articles reported on barriers and facilitators, and 34 (37%) articles provided recommendations for future initiatives. Overall, diverse approaches to integrated MH care for PWE were identified, with promising uptake, acceptability, and impacts on MH outcomes. Qualitative analysis informed a proposed framework for future integrated MH care initiatives. The framework outlines fundamental components of care activities, such as MH screening, psychoeducation, and care pathways, as well as key facilitators for their establishment (e.g., policies, infrastructure, staffing) and effective delivery (e.g., staff incentives, acceptability, evaluation).

Collaborative Care to Improve Quality of Life for Anxiety and Depression in Posttraumatic Epilepsy (CoCarePTE): Protocol for a Randomized Hybrid Effectiveness-Implementation Trial

BACKGROUND

Anxiety and depression in people with epilepsy are common and associated with poor outcomes; yet, they often go untreated due to poor mental health specialist access. Collaborative care is an integrated care model with a strong evidence base in primary care and medical settings, but it has not been evaluated in neurology clinics. Evaluating implementation outcomes when translating evidence-based interventions to new clinical settings to inform future scaling and incorporation into real-world practice is important.

OBJECTIVE

The Collaborative Care for Posttraumatic Epilepsy (CoCarePTE) trial aims to evaluate the effectiveness (improvement in emotional quality of life) and implementation of a collaborative care intervention for people with anxiety or depressive symptoms and posttraumatic epilepsy.

METHODS

CoCarePTE is a 2-site, randomized, single-blind, hybrid type 1 effectiveness-implementation trial that will randomize 60 adults to receive either neurology-based collaborative care or usual care. Adults receiving neurological care at participating centers with anxiety or depressive symptoms and a history of at least mild traumatic brain injury before epilepsy onset will be enrolled. The collaborative care intervention is a 24-week stepped-care model with video or telephone calls every 2 weeks by a care manager for measurement-based anxiety and depression care, seizure care monitoring, and brief therapy intervention delivery. This is supplemented by antidepressant prescribing recommendations by psychiatrists for neurologists via case conferences and care manager-facilitated team communication. In step 2 of the intervention, individuals with <50% symptom reduction by 10 weeks will receive an added 8-session remote cognitive behavioral therapy program. The study is powered to detect a moderate improvement in emotional quality of life. As a hybrid type 1 trial, effectiveness is the primary focus, with the primary outcome being a change in emotional quality of life at 6 months in the intervention group compared to control. Secondary effectiveness outcomes are 6-month changes in depression, anxiety, and overall quality of life. Implementation outcomes, including fidelity, acceptability, feasibility, and appropriateness, are evaluated before implementation and at 3 months. The primary effectiveness analysis will compare changes in emotional quality of life scores from baseline to 6 months between the intervention and control arms using multiple linear regression modeling, adjusting for study site and using an intent-to-treat approach.

RESULTS

Enrollment commenced in 2023, with modifications in the inclusion and exclusion made after the first 6 enrollees due to slow recruitment. Enrollment is expected to continue at least into early 2025.

CONCLUSIONS

The CoCarePTE trial is novel in its use of a hybrid effectiveness-implementation design to evaluate an evidence-based mental health intervention in epilepsy, and by incorporating seizure care into a collaborative care model. If a significant improvement in emotional quality of life is found in the intervention group compared to usual care, this would support next step scaling or clinical implementation.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05353452; https://www.clinicaltrials.gov/study/NCT05353452.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/59329.

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.

Quality of life during usual epilepsy care for anxiety or depression symptoms: Secondary patient-reported outcomes in a randomized trial of remote assessment methods

BACKGROUND AND OBJECTIVES

Anxiety and depression are highly prevalent and impactful in epilepsy. American Academy of Neurology quality measures emphasize anxiety and depression screening and quality of life (QOL) measurement, yet usual epilepsy care QOL and anxiety/depression outcomes are poorly characterized. The main objective was to assess 6-month QOL, anxiety and depression during routine care among adults with epilepsy and baseline anxiety or depression symptoms; these were prespecified secondary outcomes within a pragmatic randomized trial of remote assessment methods.

METHODS

Adults with anxiety or depression symptoms and no suicidal ideation were recruited from a tertiary epilepsy clinic via an electronic health record (EHR)-embedded process. Participants were randomized 1:1 to 6 month outcome collection via patient portal EHR questionnaires vs. telephone interview. This report focuses on an a priori secondary outcomes of the overall trial, focused on patient-reported health outcomes in the full sample. Quality of life, (primary health outcome), anxiety, and depression measures were collected at 3 and 6 months (Quality of Life in Epilepsy-10, QOLIE-10, Generalized Anxiety Disorder-7, Neurological Disorders Depression Inventory-Epilepsy). Change values and 95 % confidence intervals were calculated. In post-hoc exploratory analyses, patient-reported anxiety/depression management plans at baseline clinic visit and healthcare utilization were compared with EHR-documentation, and agreement was calculated using the kappa statistic.

RESULTS

Overall, 30 participants (15 per group) were recruited and analyzed, of mean age 42.5 years, with 60 % women. Mean 6-month change in QOLIE-10 overall was 2.0(95 % CI -6.8, 10.9), and there were no significant differences in outcomes between the EHR and telephone groups. Mean anxiety and depression scores were stable across follow-up (all 95 % CI included zero). Outcomes were similar regardless of whether an anxiety or depression action plan was documented. During the baseline interview, most participants with clinic visit EHR documentation indicating action to address anxiety and/or depression reported not being offered a treatment(7 of 12 with action plan, 58 %), and there was poor agreement between patient report and EHR documentation (kappa=0.22). Healthcare utilization was high: 40 % had at least one hospitalization or emergency/urgent care visit reported and/or identified via EHR, but a third (4/12) failed to self-report an EHR-identified hospitalization/urgent visit.

DISCUSSION

Over 6 months of usual care among adults with epilepsy and anxiety or depression symptoms, there was no significant average improvement in quality of life or anxiety/depression, suggesting a need for interventions to enhance routine neurology care and achieve quality of life improvement for this group.

Feasibility of Implementing Patient-Reported and Physical Performance Measures to Identify and Manage Fall Risk in Older Adults Within a Secondary Fracture Clinic

The purpose of this study was to assess the feasibility of implementing both electronic and in-person assessments to assess falls risk in an older adult secondary fracture clinic. Electronic data capture feasibility was defined as the proportion of patients that completed the electronic questionnaires prior to their clinic visit. In-clinic feasibility was defined in two ways: (1) the proportion of patients that consented to participate at their clinic visit; (2) time to complete testing. Patients were contacted electronically through their health system portal for electronic consent. Patients were invited to complete consent, the STopping Elderly Accidents, Deaths, and Injuries (STEADI) falls risk assessment tool, and the visual analog scale (VAS) for pain. The Short Physical Performance Battery (SPPB) was performed at the clinic visit. A total of 310 patients were contacted electronically. No patients (0%) provided consent through their health portal. Of the 310 patients, 200 (65%) consented in person (Ineligible: 67 [21%]; Declined: 43 [14%]), resulting in an 82% response rate. In-person data collection took a median of 38.48 (Range: 12.34-54.30) minutes to complete. It was not feasible to contact and collect older adult patient data electronically prior to clinic; but, was feasible to obtain these patient-reported outcomes and physical performance data in person.

The implementation, use and impact of patient reported outcome measures in value-based healthcare programmes: A scoping review

BACKGROUND

Value-Based Healthcare (VBHC) focuses on the value of patient outcomes and is achieved by ensuring resources already available are managed to realise the best possible individual and population health outcomes. Patient reported outcome measures (PROMs) measure the impact of illnesses from the patient perspective. We conducted a scoping review to understand how PROMs were implemented and used, and their impact in the context of VBHC.

METHODS

Arksey and O'Malley's overarching framework supplemented by principles from mixed-methods Framework Synthesis were used. CINAHL, Cochrane Library, EMBASE, MEDLINE, PsycINFO, Web of Science, Google Scholar and reference lists were searched. An a priori data extraction framework was created using the review question and objectives as key domains against which to extract data. Mixed-methods data were organised, integrated and preserved in original format and reported for each domain.

RESULTS

Forty-three studies were included with 60,200 participants. Few studies reported a well-developed programme theory and we found little robust evidence of effect. PROMs were universally considered to have the potential to increase patient satisfaction with treatment and services, enhance patient awareness of symptoms and self-management, and improve health outcomes such as quality of life and global health status. Evidence is currently limited on how PROMs work and how best to optimally implement PROMs to achieve the target outcome. Implementation challenges commonly prevented the realisation of optimal outcomes and patients generally needed better and clearer communication about why PROMs were being given and how they could optimally be used to support their own self-management.

CONCLUSION

PROMSs have yet to demonstrate their full potential in a VBHC context. Optimal PROMs implementation is poorly understood by clinicians and patients. Future studies should explore different models of PROM implementation and use within VBHC programmes to understand what works best and why for each specific context, condition, and population.

Impact of an Electronic Medical Record-Connected Questionnaire on Efficient Nursing Documentation: Usability and Efficacy Study

BACKGROUND

Documentation tasks comprise a large percentage of nurses' workloads. Nursing records were partially based on a report from the patient. However, it is not a verbatim transcription of the patient's complaints but a type of medical record. Therefore, to reduce the time spent on nursing documentation, it is necessary to assist in the appropriate conversion or citation of patient reports to professional records. However, few studies have been conducted on systems for capturing patient reports in electronic medical records. In addition, there have been no reports on whether such a system reduces the time spent on nursing documentation.

OBJECTIVE

This study aims to develop a patient self-reporting system that appropriately converts data to nursing records and evaluate its effect on reducing the documenting burden for nurses.

METHODS

An electronic medical record-connected questionnaire and a preadmission nursing questionnaire were administered. The questionnaire responses entered by the patients were quoted in the patient profile for inpatient assessment in the nursing system. To clarify its efficacy, this study examined whether the use of the electronic questionnaire system saved the nurses' time entering the patient profile admitted between August and December 2022. It also surveyed the usability of the electronic questionnaire between April and December 2022.

RESULTS

A total of 3111 (78%) patients reported that they answered the electronic medical questionnaire by themselves. Of them, 2715 (88%) felt it was easy to use and 2604 (85%) were willing to use it again. The electronic questionnaire was used in 1326 of 2425 admission cases (use group). The input time for the patient profile was significantly shorter in the use group than in the no-use group (P<.001). Stratified analyses showed that in the internal medicine wards and in patients with dependent activities of daily living, nurses took 13%-18% (1.3 to 2 minutes) less time to enter patient profiles within the use group (both P<.001), even though there was no difference in the amount of information. By contrast, in the surgical wards and in the patients with independent activities of daily living, there was no difference in the time to entry (P=.50 and P=.20, respectively), but there was a greater amount of information in the use group.

CONCLUSIONS

The study developed and implemented a system in which self-reported patient data were captured in the hospital information network and quoted in the nursing system. This system contributes to improving the efficiency of nurses' task recordings.