Enhancing psychiatric rehabilitation outcomes through a multimodal multitask learning model based on BERT and TabNet: An approach for personalized treatment and improved decision-making

Evaluating the rehabilitation status of individuals with serious mental illnesses (SMI) necessitates a comprehensive analysis of multimodal data, including unstructured text records and structured diagnostic data. However, progress in the effective assessment of rehabilitation status remains limited. Our study develops a deep learning model integrating Bidirectional Encoder Representations from Transformers (BERT) and TabNet through a late fusion strategy to enhance rehabilitation prediction, including referral risk, dangerous behaviors, self-awareness, and medication adherence, in patients with SMI. BERT processes unstructured textual data, such as doctor's notes, whereas TabNet manages structured diagnostic information. The model's interpretability function serves to assist healthcare professionals in understanding the model's predictive decisions, improving patient care. Our model exhibited excellent predictive performance for all four tasks, with an accuracy exceeding 0.78 and an area under the curve of 0.70. In addition, a series of tests proved the model's robustness, fairness, and interpretability. This study combines multimodal and multitask learning strategies into a model and applies it to rehabilitation assessment tasks, offering a promising new tool that can be seamlessly integrated with the clinical workflow to support the provision of optimized patient care.

Original Research: Exploring the Effects of a Nurse-Initiated Diary Intervention on Post-Critical Care Posttraumatic Stress Disorder

BACKGROUND

Critical illness survivors may develop posttraumatic stress disorder (PTSD) following critical illness and hospitalization. Left untreated, PTSD may result in poor health outcomes.

PURPOSE

This study sought to examine the effects of a nurse-initiated diary intervention on PTSD development and symptom severity in critical illness survivors with varying levels of mentation.

METHODS

The study used a pretest-posttest control group design. Patients who were hospitalized in a critical care unit for more than 24 hours were recruited at a single medical center with two such units. All participants completed a pretest on day 2 of critical care hospitalization; the intervention group participants also received a diary. All participants received a posttest one month after critical care discharge. The variables examined were PTSD severity and symptoms of avoidance, intrusion, and hyperarousal. Variables were measured using the Impact of Event Scale-Revised. Diaries were written by the patient, visitors, and interdisciplinary team members, and kept by the patient.

RESULTS

A total of 134 participants completed the study. The intervention group participants experienced significantly fewer PTSD symptoms than the control group participants. PTSD was found to be of concern in 35 (26%) of all participants: five in the intervention group and 30 in the control group.

CONCLUSIONS

For critical illness survivors, a collaborative diary-writing intervention during hospitalization and after discharge can mitigate post-critical care PTSD. Participants who received diaries had a lower incidence of PTSD symptoms than controls; and at follow-up, they indicated that the diary intervention was worthwhile. We recommend the use of collaborative diary writing to help critical illness survivors in working through their experiences.

Interviews following physical trauma: A thematic analysis

INTRODUCTION

Mental health problems are common in trauma survivors. In particular, depression, anxiety, acute stress disorder and post-traumatic stress disorder. Yet little is known about how these can be brought to the early attention of medical professionals through patients' accounts of trauma within days of being admitted to emergency care. This study aims to understand how physical trauma patients with early signs of psychological distress, stemming from the trauma, might be supported through their communications with healthcare professionals.

METHODS

42 semi-structured interviews with trauma victims attending the Royal London Hospital Trauma Clinic, taken as part of a larger project, were analysed using a qualitative thematic analysis method with a critical realist approach.

RESULTS

Four key themes were highlighted: Pain and Death, Positivity, Powerlessness, and Remembering and Blame, each with relating subthemes such as Facing Death, Heroism, Waiting Time and Self-blame.

DISCUSSION

The themes present within the data suggest that there are cues shared by trauma survivors that medical professionals should attend to with regard to the future mental health of their patients. Results may further equip nurses and clinical staff to spot early signs immediately and shortly after trauma.

PTSD in civilian populations after hospitalization following traumatic injury: A comprehensive review

BACKGROUND

Injuries and their comorbidities affect victims far beyond their physical recovery period. Some study-measures show that more than half of patients hospitalized for a traumatic injury suffer from Acute Stress Disorder, alcohol dependence, and recurrent trauma. Overall, this literature review serves to review risk factors for PTSD, screening tools, follow-up strategies, and gaps in the literature for achieving feasible patient-centered interventions for the prevention of PTSD after a traumatic injury.

DATA SOURCES

A literature review was performed from August 1, 2017 to March 19, 2018, from 3 Databases: PubMed, CINAHL and Cochrane, with keywords: "PTSD", "Post-traumatic Stress Disorder", "Civilians", "Traumatic", "Injury", "Follow-up", "Treatment", "Referral", "surgery", "surgical", "Intervention", and "Insured", "underinsured".

CONCLUSIONS

Reported risk factors for PTSD were: prior psychiatric disorder, gunshots, and lack of social support. Most articles use the Posttraumatic Stress Disorder Checklist - Civilian version. Follow-up strategies mainly focus on multidisciplinary intervention protocols, including social workers, behavioral health specialists, and psychiatrists. Finally, gaps in the literature show the need for bilingual/bicultural patient-centered care for elderly, diverse ethnic backgrounds, and insured vs. uninsured patients.

Comorbid diseases as risk factors for incident posttraumatic stress disorder (PTSD) in a large community cohort (KCIS no.PSY4)

Nature disasters and terrorist attacks have occurred globally in recent years. Posttraumatic stress disorder (PTSD) has gained increasing attention, but its incidence and comorbidities in the general population are different from those inside the disaster areas. The present study estimated incident PTSD and comorbid diseases for over a decade in a cohort from a community-based integrated screening program. Factors associated with the incidence of PTSD were analyzed using Cox regression models. PTSD incidence was estimated as 81 per 10⁵ person-years. Incidence was higher in females than in males and one-year increments in age lowered the risk for PTSD by 3%. Adjusting for other factors, cardiovascular heart disease (adjusted hazard ratio (aHR) = 1.45, 95% confidence interval (CI): 1.03–2.04), bipolar disorder (aHR = 1.86, 95% CI: 1.07–3.24) and major depressive disorder (aHR = 7.03, 95% CI: 5.02–9.85) all significantly increased 45%, 86% and 603%, respectively, the risk of developing PTSD. The low rate of people with incident PTSD receiving treatment in this community health screening population implies there is room for improvement in terms of early detection and intervention. Clinical preventive efforts may be made for patients seeking general medical help, especially those with cardiovascular disorders or mood disorders.