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Mental illness usually involves a range of cognitive, behavioral, and affective symptoms associated with impaired occupational or social functioning. Duration of untreated psychosis (DUP) is considered as an important predictor and independent risk factor for the prognosis of patients with mental disorders, a longer DUP is associated with poor prognosis. Meanwhile, early intervention measures to shorten DUP have gradually attracted increasing attention from both domestic and international researchers. In this paper, the related studies on DUP were reviewed and analyzed, the concept, measurement tools, neurobiological mechanisms of DUP, the relationship between DUP and prognosis, and early intervention measures to shorten DUP were described, in order to provide ideas and reference for developing clinical intervention strategies for DUP.

Background The accuracy of data collection can be affected by bias in the understanding of the items between the developer and the target population during scale development. Objective To adjust the items of the Schizophrenia Help-seeking Motivation Scale using the cognitive interview. Methods A purposive sampling method was used to select 30 schizophrenia patients from a psychiatric hospital in Daqing City from December 2021 to January 2022 to attend three rounds of cognitive interviews. The interview data were collected, and coded using the Question Appraisal System (QAS-99) , and after the coding results were collated, the scale entries were adjusted by integrating respondent feedback and expert panel comments. Results During the 1st round of interview, interviewees raised doubts on 11 entries, among which three were due to wording, seven were due to vague expressions, two were due to lack of inadequate knowledge, and one was due to the difficulty in recalling. And some of the entries were revised after discussion. The results of the 2nd round of interview showed that one entry was assumed to be inappropriate and was revised after discussion. The 3rd round of interview continued until the interviewees were able to understand the entries correctly, and they thought that there was no need to further revise the entries. Conclusion The cognitive interview effectively solved the problem of understanding differences between the developer and schizophrenia patients in the development of the Schizophrenia Help-seeking Motivation Scale, thus improving the accuracy and applicability of the scale.

Background Among people with various mental illnesses, those with schizophrenia have the highest incidence of aggressive behavior, which not only disturbs the medical environment, but also poses a great threat to family stability and social harmony. Previous regression analysis studies have shown that childhood trauma, self-esteem and resilience are influencing factors of aggressive behavior in schizophrenia patients, but few studies have explored the internal relationship between these four variables. Objective To explore the relationship between childhood trauma, self-esteem, resilience and aggressive behavior in schizophrenic patients using a self-constructed chain mediation model, and to clarify its internal mechanism. Methods A convenience sample of stable schizophrenia inpatients were selected from Daqing Third Hospital and Chifeng Anding Hospital from March 2021 to July 2022. A survey was conducted with them using a questionnaire consisting of general information questionnaire, Positive and Negative Symptom Scale (PANSS) , Childhood Trauma Questionnaire-Short Form (CTQ-SF) , Connor-Davidson Resilience Scale (CD-RISC) , Self-esteem Scale (SES) , and Aggressive Questionnaire (AQ) . Pearson correlation analysis was used to explore the correlation of AQ score with CTQ-SF, CD-RISC and SES scores. Multiple linear regression analysis was used to explore the influencing factors of aggressive behavior. AMOS 24.0 was used to construct the chain mediation model. The mediation effect of the chain mediation model was tested using Bootstrap method. Results Three hundred and ten cases attended the survey, and 300 of them (96.8%) who responded effectively were finally included for analysis. The average scores of PANSS, CTQ-SF, SES, CD-RISC and AQ were (18.4±3.7) , (49.7±13.5) , (26.9±6.9) , (55.2±15.5) and (84.3±19.8) , respectively. Multiple linear regression analysis showed that childhood trauma〔B=0.551, 95%CI (0.421, 0.681) , P

Background Schizophrenia is considered as one of the top 10 leading causes of disability and life survival time threatening, which is the main cause of mental disability. There are relatively few researches on early intervention and health management for patients with mental disability in China and abroad. In particular, there is a lack of research on interventions for mental disability at different time points in China. Objective To explore the effect of disability point matching (DPM) intervention programme based on intervention mapping theory on degree of disability, negative symptoms, insight, self-esteem level and family function in patients with schizophrenia disability. Methods A quasi-experimental study design was used in the research. The patients at P1 (disability1~0.05), there were main effects and interaction effects of time and group in the APGAR score at P1 after DPM intervention (P>0.05). WHO-DASⅡ and PANSS-N scores were lower and ITAQ (P>0.05), SES, and APGAR scores were higher in the intervention group than the control group at after 8 weeks of intervention, 3 months after 8 weeks of intervention and 6 months after 8 weeks of intervention (P

An online estimated state feedback control for trajectory tracking in stochastic open quantum systems is proposed in this paper, which is based on the Lyapunov‐based control method. By inducing the error between the controlled state, and the target state as the error state, the trajectory tracking problem of the quantum system is transformed into the error state transition control problem. The quantum state online estimation method QST‐OADM is applied to estimate the state of the error state system online, and the tracking control laws are designed by using the quantum Lyapunov stability theorem for driving the stochastic open quantum system from an arbitrary initial state to an arbitrary trajectory. The numerical simulation experiments and results analyses are given. [ABSTRACT FROM AUTHOR]

This study aimed to investigate the factors associated with suicidal ideation in schizophrenia patients in China using decision tree and logistic regression models. From October 2020 to March 2022, patients with schizophrenia were chosen from Chifeng Anding Hospital and Daqing Third Hospital in Heilongjiang Province. A total of 300 patients with schizophrenia who met the inclusion criteria were investigated by questionnaire. The questionnaire covered general data, suicidal ideation, childhood trauma, social support, depressive symptoms and psychological resilience. Logistic regression analysis revealed that childhood trauma and depressive symptoms were risk factors for suicidal ideation in schizophrenia (OR = 2.330, 95%CI: 1.177 ~ 4.614; OR = 10.619, 95%CI: 5.199 ~ 21.688), while psychological resilience was a protective factor for suicidal ideation in schizophrenia (OR = 0.173, 95%CI: 0.073 ~ 0.409). The results of the decision tree model analysis demonstrated that depressive symptoms, psychological resilience and childhood trauma were influential factors for suicidal ideation in patients with schizophrenia (p < 0.05). The area under the ROC for the logistic regression model and the decision tree model were 0.868 (95% CI: 0.821 ~ 0.916) and 0.863 (95% CI: 0.814 ~ 0.912) respectively, indicating excellent accuracy of the models. Meanwhile, the logistic regression model had a sensitivity of 0.834 and a specificity of 0.743 when the Youden index was at its maximum. The decision tree model had a sensitivity of 0.768 and a specificity of 0.8. Decision trees in combination with logistic regression models are of high value in the study of factors influencing suicidal ideation in schizophrenia patients. [ABSTRACT FROM AUTHOR]

Objective: This study was designed to perform a nuanced analysis of the multifaceted association between community residents' satisfaction and their perceived satisfaction concerning the visit duration at medical facilities, that could be harnessed to enhance and streamline the process of hierarchical diagnosis and treatment, thereby augmenting healthcare outcomes and patient experiences. Methods: Respondents who had utilized services from medical institutions were invited to fill out questionnaires by scanning QR codes. Additionally, surveys also distributed questionnaires through WeChat groups of community residents in densely populated areas of the community, as well as WeChat groups for patients who had previously visited local hospitals. To balance differences between groups, propensity score matching was applied to analyze the contrast between residents satisfied and dissatisfied with their medical visits. After eliminating the interference of confounding factors, a comparative analysis was conducted on the relationship between resident satisfaction and medical institution experience.After eliminating the interference of confounding factors, a comparative analysis was conducted to delve deeply into the relationship between residents' satisfaction and their experiences at medical facilities. Results: The study incorporated a large dataset encompassing 2356 community residents. Upon successful propensity score matching, logistic regression analysis elucidated several determinants of overall resident satisfaction. Notably, the grade of the medical institution (χ2 = 8.226, P <.05), satisfaction with the time invested in the registration process (χ2 = 11.04, P <.05), satisfaction with the waiting duration for consultation (χ2 = 15.759, P <.05), and satisfaction with the travel time to the hospital (χ2 = 45.157, P <.05) each exerted significant influence on the holistic satisfaction of residents with their medical experience. Conclusion: Factors such as the grade of the medical institution, satisfaction related to registration and waiting durations, and travel time to the hospital emerged as crucial determinants shaping community residents' holistic satisfaction with their medical encounters. These findings underscore the exigency for strategic allocation and optimization of medical resources, refinement of the classification system, and enhancement of public health education on the graded diagnosis and treatment schema. The study also demonstrates the value of employing advanced propensity score matching and predictive modelling techniques in health services research. [ABSTRACT FROM AUTHOR]

This study aims to verify the mediating role of resilience between self-esteem and mental disability and to analyze the moderating role of gender in the relationship between resilience and mental disability in patients with schizophrenia. Patients with schizophrenia have been selected from Harbin Psychiatric (Baiyupao) Hospital and Daqing Third Hospital in Heilongjiang Province from January to December 2021. The study recruited a total of 220 patients with schizophrenia, including 120 males and 100 females to measure their self-esteem, resilience and mental disability. The results were as follows: Self-esteem and resilience are important protective factors that have a buffering effect on mental disability. The mediating effect of resilience on self-esteem and mental disability is stronger in males than in females. The results provide new ideas for delaying mental disability and for formulating intervention programs and applying them to clinical practice. The study indicates that psychiatric medical staff should not only treat the patients with schizophrenia psychotic symptoms but also improve their self-esteem and resilience through effective intervention to reduce the occurrence of mental disability. [ABSTRACT FROM AUTHOR]