OBJECTIVE: Research on sociocultural factors associated caregiver-provider relationship is needed to enhance family involvement in psychiatric care. This study examines from the caregiver's perspective the associations of schizophrenia attributions, stigmatization, and caregiving experiences with caregiver-psychiatrist working relationship in Taiwan. METHODS: This cross-sectional study used a convenience sample of 152 Taiwanese family caregivers of persons diagnosed with schizophrenia, recruited from a grassroots organization, 4 community mental health rehabilitation centers and 2 psychiatric hospitals between July 2012 and March 2013. Multiple linear regression models were used for analysis. RESULTS: Biological attribution was positively associated with perceived family collaboration, and so was environmental attribution with perceived informational support. Internalized stigma was negatively associated with perceived family collaboration. Caregiving rewards were positively related to both perceived family collaboration and informational support, and so was experience of problems with services to perceived family collaboration. CONCLUSION: The examination of family perceptions informs Western psychiatric care providers of the importance of culturally sensitive practices in developing an effective working relationship with family caregivers, particularly in regards to caregivers' casual attributions, impact of stigma, and caregiving experiences.
Caregivers ; Cooperative Behavior ; Cross-Sectional Studies ; Hospitals, Psychiatric ; Humans ; Linear Models ; Mental Health ; Rehabilitation Centers ; Reward ; Schizophrenia ; Stereotyping ; Taiwan*

Purpose: The purpose of this study was to assess the amount of variance in the coping strategies of patients with brain tumors that could be accounted for by resilience. Methods: This cross-sectional survey involved 95 patients who had experienced surgical, chemotherapy, or radiotherapy therapies for their brain tumors at least 1 month before data collection. The investigator collected data using the scales of the Ways of Coping Checklist-Revised and Resilience Scale. Data were analyzed using descriptive statistics, t tests, analysis of variance, Pearson product–moment correlation, and hierarchical multiple regression. Results: The results revealed that resilience was significantly positively associated with patients' problem-focused coping (r = .65, p < .001) and total coping (r = .49, p < .001). In addition, resilience accounted for 27% (R2inc = .27, p < .001) and 16% ((R2inc = .16, p < .001) of the distinct variances in predicting patients’ problem-focused coping and total coping. Conclusion The current results provide evidence to support the importance of resilience in shaping the coping strategies of relevant patients. As resilience shows a crucial element in patient coping with brain tumors, health team members should develop and employ appropriate strategies to improve the resilience of patients with brain tumors.

Purpose: The purpose of this study was to assess the amount of variance in the coping strategies of patients with brain tumors that could be accounted for by resilience. Methods: This cross-sectional survey involved 95 patients who had experienced surgical, chemotherapy, or radiotherapy therapies for their brain tumors at least 1 month before data collection. The investigator collected data using the scales of the Ways of Coping Checklist-Revised and Resilience Scale. Data were analyzed using descriptive statistics, t tests, analysis of variance, Pearson product–moment correlation, and hierarchical multiple regression. Results: The results revealed that resilience was significantly positively associated with patients' problem-focused coping (r = .65, p < .001) and total coping (r = .49, p < .001). In addition, resilience accounted for 27% (R2inc = .27, p < .001) and 16% ((R2inc = .16, p < .001) of the distinct variances in predicting patients’ problem-focused coping and total coping. Conclusion The current results provide evidence to support the importance of resilience in shaping the coping strategies of relevant patients. As resilience shows a crucial element in patient coping with brain tumors, health team members should develop and employ appropriate strategies to improve the resilience of patients with brain tumors.

OBJECTIVE: The therapeutic effect of methylphenidate (MPH) in treating attention-deficit/hyperactivity disorder (ADHD) has been related to the alpha-2A adrenergic receptor (ADRA2A) gene -1291C/G single nucleotide polymorphism (SNP). We investigated the effect of MPH in treating Taiwanese children and adolescent with ADHD and its relation to the ADRA2A gene -1291C/G SNP. METHODS: The subjects with DSM-IV ADHD diagnosis underwent a titration period to find out the dose of MPH for maintenance treatment. After 4 weeks maintenance treatment, the effect of MPH was evaluated by the Swanson, Nolan and Pelham version IV total scores. The subjects with more than 25% score reduction were referred to responders and those with ≥50% improvement were considered as better responders. The -1291C/G variant of the ADRA2A gene was identified by DNA sequencing and what relevance it has to the MPH response was examined by binary logistic regression analysis. RESULTS: Of the 59 subjects, 44 (74.6%) were responsive to MPH treatment and the responsiveness was not shown to be associated with the ADRA2A gene -1291C/G SNP. As the responsive subjects were categorized as moderate responders and better responders and subjected to statistical analysis, the GG homozygotes showed a greater chance to have a better response to MPH treatment than CC homozygotes (p=0.02), with an odds ratio of 32.14 (95% CI=1.64–627.80). CONCLUSION: The ADRA2A gene -1291C/G SNP is associated with the efficacy of MPH for the treatment of ADHD in Taiwanese children and adolescents. The responsive subjects bearing homozygous -1291G allele are more likely to have a better response to MPH treatment.
Adolescent* ; Alleles ; Child* ; Diagnosis ; Diagnostic and Statistical Manual of Mental Disorders ; Homozygote ; Humans ; Logistic Models ; Methylphenidate* ; Odds Ratio ; Pharmacogenetics ; Polymorphism, Single Nucleotide* ; Receptors, Adrenergic, alpha-2* ; Sequence Analysis, DNA

Background/Aims: The performance of machine learning (ML) in predicting the outcomes of patients with hepatocellular carcinoma (HCC) remains uncertain. We aimed to develop risk scores using conventional methods and ML to categorize early-stage HCC patients into distinct prognostic groups. Methods: The study retrospectively enrolled 1,411 consecutive treatment-naïve patients with the Barcelona Clinic Liver Cancer (BCLC) stage 0 to A HCC from 2012 to 2021. The patients were randomly divided into a training cohort (n=988) and validation cohort (n=423). Two risk scores (CATS-IF and CATS-INF) were developed to predict overall survival (OS) in the training cohort using the conventional methods (Cox proportional hazards model) and ML-based methods (LASSO Cox regression), respectively. They were then validated and compared in the validation cohort. Results: In the training cohort, factors for the CATS-IF score were selected by the conventional method, including age, curative treatment, single large HCC, serum creatinine and alpha-fetoprotein levels, fibrosis-4 score, lymphocyte-tomonocyte ratio, and albumin-bilirubin grade. The CATS-INF score, determined by ML-based methods, included the above factors and two additional ones (aspartate aminotransferase and prognostic nutritional index). In the validation cohort, both CATS-IF score and CATS-INF score outperformed other modern prognostic scores in predicting OS, with the CATSINF score having the lowest Akaike information criterion value. A calibration plot exhibited good correlation between predicted and observed outcomes for both scores. Conclusions Both the conventional Cox-based CATS-IF score and ML-based CATS-INF score effectively stratified patients with early-stage HCC into distinct prognostic groups, with the CATS-INF score showing slightly superior performance.