In this cross‐sectional study, we aimed to determine factors influencing the health status of caregivers of stroke survivors. A total of 126 caregivers of stroke survivors were recruited from three outpatient clinics in Thai Nguyen National General Hospital, Vietnam, from November 2016 to March 2017. Data were collected through six instruments: a demographic questionnaire, the Modified Barthel Index, the Zarit Burden Interview Scale, the Multidimensional Scale of Perceived Social Support, the Family Caregiver Conflict Scale, and the Short Form‐36 Health Survey. Stepwise multiple regression was employed to analyze the data. Caregiver burden, patient's functional status, caregiver's age, and social support together explained 80.3% of the variations in health status of caregivers of stroke survivors. Caregiver burden was the strongest predictor of health status of these caregivers. Based on the findings, nurses should take caregiver's age, functional status of stroke survivors, caregiver burden, and social support into consideration when preparing family caregivers to provide care for stroke survivors. To reduce perceived caregiver burden, family support interventions should be embraced to enhance health status of the caregivers of stroke survivors.
Depression, once thought rare in children, is now more widely recognized and believed to arise from negative views of self, world, and future, according to Beck’s cognitive theory of depression. The Cognitive Triad Inventory for children measures the three negative views, and although reported as psychometrically adequate, this study extended previous analyses with confirmatory factor analysis in a sample of 122 school-aged children. Internal consistency was .82 (total scale) but ranged from .54 to .76 for subscales reflecting the views of self, world, and future. Confirmatory factor analysis revealed factors reflecting three aspects of the self rather than the three negative views. The findings suggest that Beck’s theory about the negative cognitive triad may be less suitable for children than adults.
Background The time between discharge from hospital and transition to community and home is a critical period for health status among patients with a mental illness, including patients with schizophrenia. This study aimed to investigate crucial patient factors (patient-level) and hospital factors (hospital-level) affecting health status and see whether patient factor effects on health status vary with hospital factors, 30 days after hospital discharge. Methods This is a prospective study of 1255 patients with schizophrenia and their primary caregivers from 13 public mental hospitals across Thailand. Logistic regression and multi-level logistic regression was used to investigate the effects of patient and hospital factors simultaneously on health status, 30 days after hospital discharge. Results The intraclass correlation coefficient indicated that 14% of the change in health status was explained by the differences between hospital. Poor health status was identified in 14.26% of patients, 30 days after hospital discharge. The majority of participant patients were male (69.8%), single (71.87%), and the average age was 38.09 (SD = 9.74). The finding also showed that the patient factors; being female (ORadj .53, 95%CI .31,.92), perceived moderate and high levels of positive aspect of caregiving (ORadj .24, 95%CI .14,.42 and ORadj .05, 95%CI .02,.09), perceived readiness for hospital discharge (ORadj .21, 95%CI .13,.33), partial and full adherence to treatment (ORadj .24, 95%CI .14,.42 and ORadj .31, 95%CI .20,.47) showed a reduced likelihood of developing poor health status except substance use (ORadj 1.55, 95%CI .98, 2.44). Hospital factors; discharge planning process and nurse-patient ratio (ORadj 1.64, 95%CI 1.17, 2.30 and ORadj 1.16, 95%CI 1.09, 1.22) showed an increased likelihood of developing poor health status, 30 days after hospital discharge. Conclusions Findings provide relevant information on how both patient and hospital factors determine health status. These results might lead to better targeting of mental health service policy and enable more precise information gathering and allocation of resources. However, future research should be more focused and continue investigating the pathways through which hospital factors influence health status post-discharge.
Background: Mood swings (MS) are a widely discussed psychiatric ailment of youthful patients. However, there is a lack of research about MS in this population. Methods: A school-based, cross-sectional study was conducted to investigate the prevalence and distribution pattern of mood swings due to personal and contextual determinants in Thai adolescents in the central region of Thailand. Participants were 2598 students in high schools and vocational schools in Bangkok and three provinces in the central region of Thailand. Results: The prevalence of mood swings was 26.4%. It was highest among vocational students in Bangkok at 37.1%. MS were more common in adolescents who exhibited risk behaviors and who resided in hazardous situations. The probabilities of MS by characteristic in 15-24 years olds were: bullying involvement 36.9% (n = 1293), problematic social media use 55.9%(n = 127), high expressed emotion in family 36.6% (n = 1256), and studying in a vocational program 29.5% (n = 1216) and school located in Bangkok 32.4% (n = 561). Also, substance use was a risk for MS with cannabis use at 41.8%(n = 55) and heroin use at 48.0% (n = 25). Hierarchical logistic regression analysis showed that female gender, having a family history of mental problems, bullying involvement, problematic social media use, high expression of emotion in the family, and the interaction between vocational program enrollments and metropolitan/urban residence associated adolescent mood swings (p < .05). Conclusions: Findings indicate that the pattern of mood swings was associated with significant bullying involvement, social media use, family circumstance, and school characteristics. The public needs greater awareness of MS patterns and the positive implications of MS screening. Early preventive interventions that may limit later mental illness are needed.
PurposeAlthough health-related quality of life (HRQOL) has become an important outcome, specifically in regard to the impact of illness and treatment in patients with depression, few studies have explored the HRQOL of patients from different types of hospitals. This study aimed at examining a change in HRQOL of patients from various types of hospitalsDesign/methodology/approachA repeated measure was used in this study. Thirty participants in psychiatric outpatient units per center from the different types of hospitals, including a psychiatric hospital, regional hospital, general hospital and community hospital, were assessed with the Thai version of the World Health Organization Quality of Life Brief (WHOQOL-BREF-THAI) questionnaire at the first visit, and after the 6th and 12th weeks of the treatment course.FindingsThe HRQOL scores for the participants were increased in each type of hospital from their first visit to the 6th week and 12th week (p < 0.001; except for the 6th week in the regional hospital, p < 0.01).Originality/valueThe findings reflected HRQOL in patients with depression in terms of the resources available in different types of hospitals that could be used as baseline data for the development of Thai mental health service systems.
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