Research on patient-centered design for post-stroke depression patients based on SEM and comprehensive evaluation

Abstract

IntroductionSince COVID-19, medical resources have been tight, making it inconvenient to go offline for the sequelae of diseases such as post-stroke depression (PSD) that require long-term follow-up. As a new digital therapy, VRTL began to gain popularity.MethodThe research is divided into two parts: pre-test and post-test. In the pre-test, an evaluation method integrating reality-based interaction (RBI), structural equation model (SEM), analytic hierarchy process (AHP), and entropy weight method is proposed. In the post-test the patients’ physiological indicators (Diastolic blood pressure, systolic blood pressure and heart rate) are measured to verify the effectiveness of RBI-SEM model using T-test method.ResultsIn the pre-test, using SEM, it was confirmed that Pi physical awareness, Bi body awareness, Ei environmental awareness, and Si social awareness were significantly correlated and positively affected VRTL satisfaction (p >> F 0.217; B >> F 0.130; E >> F 0.243; S >> F 0.122). The comprehensive weight ranking based on RBI-SEM considered light environment (0.665), vegetation diversity (0.667), accessible roaming space (0.550) et al. relatively of importance. And T-tset in the post-test experiment considered that the data of the two measurements before and after the VRTL experience, systolic blood pressure (p < 0.01), diastolic blood pressure (p < 0.01), and blood pressure (p < 0.01) were significantly decreased; one-way ANOVA concluded that there was no significant difference in the changes of blood pressure and heart rate among participants of different ages and genders (p > 0.01).ConclusionThis research validated the effectiveness of RBI theory for VRTL design guidelines, established an RBI-SEM based VRTL evaluation model, and the output VRTL for PSD in the older adults was confirmed to have significant therapeutic benefits. This lays the foundation for designers to decompose design tasks and integrate VRTL into traditional clinical treatment systems.Contribution from the public or patientsFour public health department employees helped to improve the research’s content.

How stroke-related dysphagia relates to quality of life: the mediating role of nutritional status and psychological disorders, and the moderating effect of enteral nutrition mode

“…Stroke-related depression is a well-known issue that can significantly impact stroke patients’ prognosis ( 33 ). The current study demonstrated that psychological disorders played a mediating role in the association between dysphagia and QOL.…”

Novel use of structural equation modeling to examine the development of a framework of patient-centered two-way referral systems for building digital subjective well-being healthcare: A cross-sectional survey in Central China

“…Meanwhile, societal issues involve low willingness of patients to choose community primary care and insufficient information reception, among others. 14 However, the existing digital health literature primarily delves into clinical applications and electronic healthcare, 15 such as the application of machine learning (ML)/deep learning (DL) technologies in various medical fields, 16 for instance, the use of virtual reality rehabilitation landscape (VRTL) technology in clinical treatment, 17 and the design and application of clinical decision support systems and electronic nursing records. 18 The purpose of this article is to explore the construction of an information-based bidirectional referral mechanism within the framework of a healthcare alliance model.…”

The mediation effect of social support between stigma and social alienation in patients with stroke

“…With stroke, patients often have different degrees of motor impairment, making it difficult to walk and reintegrate into society and negatively affecting their physical and mental health ( 7 ). There are few studies on the social alienation of patients with stroke, most of which focus on the negative emotions and motor impairment caused by stroke ( 8 , 9 ). Therefore, it is essential to investigate the social alienation of patients with stroke and explore its potential mechanism to help patients better adapt to society.…”