OBJECTIVE: The primary objectives of this study are to assess the cost-effectiveness of early postnatal screening and prenatal psychological interventions for the prevention and treatment of postpartum depression (PPD) among Chinese pregnant women. Additionally, we aim to explore the most cost-effective prevention and treatment strategies for PPD in China.
METHODS: We used TreeAge 2019 to construct a decision tree model, with the model assuming a simulated queue size of 10,000 people. The model employed Monte Carlo simulation to assess the cost-effectiveness of PPD prevention and treatment strategies. Transfer probabilities were derived from published studies and meta-analyses. Cost and effectiveness data were obtained from published sources and relevant studies. Incremental cost-effectiveness ratios (ICERs) were used to describe the results, with willingness-to-pay (WTP) thresholds set at China\'s gross domestic product (GDP) per capita.
RESULTS: Compared to the usual care group, the cost per additional quality-adjusted life year (QALY) for the early postnatal screening group and the prenatal psychological interventions is USD 6840.28 and USD 3720.74, respectively. The cure rate of mixed treatments for PPD has the greatest impact on the model, while patient participation in treatment has a minor impact on the cost-effectiveness of prevention and treatment strategies.
CONCLUSIONS: Both early postnatal screening and prenatal psychological interventions are found to be highly cost-effective strategies for preventing and treating PPD in China. Prenatal psychological interventions for pregnant women are the most cost-effective prevention and treatment strategy. As such, from the perspective of national payers, we recommend that maternal screening for PPD be implemented in China to identify high-risk groups early on and to facilitate effective intervention.

Aging population grows faster and has great demand for mental healthcare in the Western Pacific Region. Within the continuum of holistic care framework, mental healthcare for older adults is conceptualized to promote people\'s mental wellbeing, the \"positive\" states of mental health. As social determinants accounts much for mental health outcomes, addressing these factors may benefit older adults mental wellbeing in natural settings. Social prescribing, emerged as an innovative approach linking medical and social care, has been observed to potentially benefit mental wellbeing of older adults. However, it remained uncertain how to successfully implement social prescribing schemes in realistic world, such as community. In this viewpoint, we discuss three key elements, i.e., stakeholders, contextual factors, and outcome measures, that might facilitate identification of appropriate implementation strategies. Besides, we argue that implementation research needs to be strengthened and supported, aiming to accumulate evidence for scaling up social prescribing schemes to promote older adults mental wellbeing in the population level. We also provide directions for future implementation research on social prescribing for mental healthcare among older adults in the Western Pacific Region.

Family involvement in mental healthcare is a key ingredient in the recovery of patients with mental illness. Research on the attitudes of mental health nurses regarding family involvement in mental healthcare remains limited. This study aimed to examine factors that affect the attitudes of mental health nurses towards the importance of family involvement in mental health nursing care. A descriptive, correlational study with a cross-sectional design was conducted with 162 mental health nurses at two psychiatric hospitals in Taiwan. Descriptive statistics, independent t-tests, one-way analysis of variance, and stepwise multiple linear regression analyses were applied to analyse data. Mental health nurses generally demonstrated positive attitudes towards incorporating families into nursing care. Older age, more clinical experiences in mental healthcare, and workplace (such as working in chronic psychiatric inpatient wards) were found to be key factors for mental health nurses\' attitudes. Particularly, greater competence in working with families and job satisfaction were the most significant factors associated with positive attitudes of mental health nurses towards involving families as important in nursing care. Insight into correlates of mental health nurses\' attitudes towards the importance of focusing on families in care is pivotal for targeted interventions to improve nurses\' attitudes towards families and, thus, implement family engagement in mental healthcare practices.

Objective: The study aimed to investigate the relationship between mental health with the level of education, relationship status, and awareness on mental health among low-income earners in Western Uganda. Methods: This was a cross-sectional descriptive study carried out among 253 participants. Anxiety, anger, and depression were assessed using a modified generalized anxiety disorder (GAD-7), Spielberger\'s State-Trait Anger Expression Inventory-2, and Beck Depression Inventory item tools, respectively. Results: The majority of our respondents were male (n = 150/253, 59.3), had a secondary level of education (104/253, 41.1), and were single (137/253, 54.2). No formal education and primary education (r 2 = 47.4% and 6.4%, respectively) had a negative correlation with awareness of mental health care. In addition, no formal education had a positive correlation with anger and depression (r 2 = 1.9% and 0.3%, respectively). Singleness in this study had a negative correlation with awareness of mental health care, anger, and depression (r 2 = 1.9, 0.8, and 0.3%, respectively), and a positive correlation with anxiety (r 2 = 3.9%). Conclusion: It is evident that education and relationship status influenced awareness on mental health care and mental health state among low-income earners in Western Uganda during the first COVID-19 lockdown. Therefore, policymakers should strengthen social transformation through the proper engagement of low-income earners in this COVID-19 era.

We aimed to develop a quantitative instrument to assist with the automatic evaluation of the actionability of mental healthcare information. We collected and classified two large sets of mental health information from certified mental health websites: generic and patient-specific mental healthcare information. We compared the performance of the optimised classifier with popular readability tools and non-optimised classifiers in predicting mental health information of high actionability for people with mental disorders. sensitivity of the classifier using both semantic and structural features as variables achieved statistically higher than that of the binary classifier using either semantic (p < 0.001) or structural features (p = 0.0010). The specificity of the optimized classifier was statistically higher than that of the classifier using structural variables (p = 0.002) and the classifier using semantic variables (p = 0.001). Differences in specificity between the full-variable classifier and the optimised classifier were statistically insignificant (p = 0.687). These findings suggest the optimised classifier using as few as 19 semantic-structural variables was the best-performing classifier. By combining insights of linguistics and statistical analyses, we effectively increased the interpretability and the diagnostic utility of the binary classifiers to guide the development, evaluation of the actionability and usability of mental healthcare information.

The COVID-19 is creating panic among people around the world and is causing a huge public mental health crisis. Large numbers of observational studies focused on the prevalence of psychological problems during the COVID-19 pandemic were published. It is essential to conduct a meta-analysis of the prevalence of different psychological statuses to insight the psychological reactions of general population during the COVID-19 epidemic in China. Sixty six observational studies about the psychological statuses of people during the COVID-19 were included, searching up to 1 December 2020. Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) was used to evaluate the quality of the included studies. OpenMeta[Analyst] was used for the data analysis. High prevalence of acute stress and fear symptoms were observed in the early period of the epidemic. Additionally, anxiety and depression symptoms continued at a high prevalence rate during the epidemic. It should alert the lasting mental health problems and the risk of post-traumatic stress disorder and other mental disorders. Systematic Review Registration: PROSPERO CRD 42020171485.

The severe 2019 outbreak of novel coronavirus disease (COVID-19), which was first reported in Wuhan, would be expected to impact the mental health of local medical and nursing staff and thus lead them to seek help. However, those outcomes have yet to be established using epidemiological data. To explore the mental health status of medical and nursing staff and the efficacy, or lack thereof, of critically connecting psychological needs to receiving psychological care, we conducted a quantitative study. This is the first paper on the mental health of medical and nursing staff in Wuhan. Notably, among 994 medical and nursing staff working in Wuhan, 36.9% had subthreshold mental health disturbances (mean PHQ-9: 2.4), 34.4% had mild disturbances (mean PHQ-9: 5.4), 22.4% had moderate disturbances (mean PHQ-9: 9.0), and 6.2% had severe disturbance (mean PHQ-9: 15.1) in the immediate wake of the viral epidemic. The noted burden fell particularly heavily on young women. Of all participants, 36.3% had accessed psychological materials (such as books on mental health), 50.4% had accessed psychological resources available through media (such as online push messages on mental health self-help coping methods), and 17.5% had participated in counseling or psychotherapy. Trends in levels of psychological distress and factors such as exposure to infected people and psychological assistance were identified. Although staff accessed limited mental healthcare services, distressed staff nonetheless saw these services as important resources to alleviate acute mental health disturbances and improve their physical health perceptions. These findings emphasize the importance of being prepared to support frontline workers through mental health interventions at times of widespread crisis.

Failure to seek treatment for mental health disorders is a serious public health concern. Unfortunately, there is little insight into help-seeking and its associated factors in China which has undergone rapid economic development in the past 30 years and has an increasing prevalence of mental disorder. Therefore, this study aimed to (1) investigate help-seeking rates in healthcare and non-healthcare settings and (2) investigate the correlates of help-seeking behavior in a large Chinese survey.
Data came from the Tianjin Mental Health Survey (TJMHS), a representative sample of adult community residents in the Chinese municipality of Tianjin (n = 11,748). Of these, 1759 individuals had ≥1 axis-I diagnosis according to the Diagnostic and Statistical manual- fourth edition (DSM-IV) and were administered a Help-Seeking Questionnaire.
15.7% of patients reported that they had ever sought help during their entire lifetime before the interview, with 4.5% seeking help in mental healthcare, 3.2% in other healthcare and 8.1% in non-healthcare settings (e.g., family, friends, and spiritual advisor). Among help-seekers, the first help was mostly sought in non-healthcare settings (58.4%), followed by healthcare (27.5%) and mental healthcare settings (24.5%). Female gender, younger age, having 7-9 years vs 0-6 years of education, a low income, a psychotic disorder and having ≥2 disorders were associated with increased help-seeking. Older age, being married and having a psychotic or organic disorder were associated with increased help-seeking in healthcare vs. non-healthcare settings.
A small percentage of persons with mental disorders in the Tianjin region seek help and among those who do, variations in the types of help-seeking may be partially explained by demographic and clinical characteristics.