Assessing willingness to pay for children's COVID-19 vaccination among healthcare providers and users using a theory-based discrete choice experiment.

Improving vaccine coverage among children is crucial to prevent the long-term consequences of COVID-19 infections and the emergence of resistant COVID-19 variants, especially in resource-scarce settings. This study determined factors influencing the willingness to take and pay for COVID-19 vaccine for children among Vietnamese healthcare professionals and the public. A Theory-Based discrete-choice experiment was focused on a different topic related to vaccines, including the COVID-19 vaccine for children, Monkeypox, the adult COVID-19 booster, the HIV vaccine, and a potential future pandemic. The recruitment period was from April to August 2022, and a total of 5700 Vietnamese individuals aged 16 and above from various regions of the country participated in the study. The data for the sub-study on the COVID-19 vaccination for children was completed by 891 of these participants. Most participants agreed on vaccination for all children. Among healthcare professionals it was 76.2% and 69.3% for the general population. Healthcare professionals were the main source of vaccine information (70.7%). Payment options of 50%, 100%, and full subsidy were the most popular. Concerns about vaccine characteristics were associated with lower acceptance among healthcare professionals and the general public. The burden of historical medical expenses negatively correlated with willingness to pay for vaccination, while service satisfaction positively correlated with willingness to pay. To develop an effective vaccination program among children in Vietnam, providing accurate information and satisfying vaccine services, primarily through knowledgeable and professional healthcare providers, can improve the willingness to vaccinate and pay for the COVID-19 vaccine.

Prevalence of depressive symptoms among urban school adolescents in Vietnam: The role of youth, family, and school relationships.

BACKGROUND: Adolescents frequently encounter a spectrum of psychiatric conditions, predominantly depressive and anxiety disorders, along with various behavioral disturbances. OBJECTIVE: This investigation aims to delineate the prevalence of depressive disorders among adolescents in urban Vietnam and to elucidate the interrelationships between familial and school-related dynamics and adolescent depression. MATERIALS AND METHODS: A cross-sectional survey was conducted in 2022, involving 507 students aged 15 to 17 from high schools in Hanoi, Vietnam. Reynolds Adolescent Depression Scale - Second Edition (RADS-2) was used to assess the presence of depressive symptoms. Social-demographic characteristics, adolescent-family and adolescent-school relationships, and academic environment characteristics of high school students were interviewed. Multivariate Tobit regression models were employed to discern contributory factors across four domains of RADS-2. RESULTS: Among the 507 adolescents, the mean scores on the RADS scale were 15.1 ± 4.2 for the dysphoric mood domain, 16.4 ± 4.0 for the anhedonia-negative domain, 13.1 ± 4.4 for the negative self-evaluation domain, and 12.4 ± 3.7 for the somatic complaints domain. The analysis indicated that adolescents with suboptimal parental relationships, absence of confidants, frequent parental conflicts, exposure to parental arguments, substantial exam-related stress, or overwhelming academic demands were more likely to exhibit elevated depressive symptoms. Conversely, adolescents who were satisfied with their friendships at school and received care, support from teachers or friends, and involved in school's extracurricular activities lower exhibited levels of depression. CONCLUSIONS: Findings reveal the significant impact of family and peer relationships, as well as academic stress, on the development of depressive symptoms. These significant results inform the design and development of future interventions aimed at mitigating depression risks among high school students, emphasizing the crucial roles of both educational institutions and family dynamics.

Association between hospital procedure volume, socioeconomic status, comorbidities, and adverse events related to surgical abortion: a nationwide population-based cohort study.

BACKGROUND: Limited evidence exists on the influence of hospital procedure volume, socioeconomic status, and comorbidities on surgical abortion outcomes. OBJECTIVE: Our study aimed to assess the association between hospital procedure volume, individual and neighborhood deprivation, comorbidities, and abortion-related adverse events. STUDY DESIGN: A nationwide population-based cohort study of all women hospitalized for surgical abortion was conducted from January 1, 2018 to December 31, 2019 in France. Annual hospital procedure volume was categorized into 4 levels based on spline function visualization: very low (<80), low ([80-300]), high ([300-650]), and very high-volume (≥650) centers. The primary outcome was the occurrence of at least one surgical-related adverse event, including hemorrhage, retained products of conception, genital tract and pelvic infection, transfusion, fistulas and neighboring lesions, local hematoma, failure of abortion, and admission to an intensive care unit or death. These events were monitored during the index stay and during a subsequent hospitalization up to 90 days. The secondary outcome encompassed general adverse events not directly linked to surgery. RESULTS: Of the 112,842 hospital stays, 4951 (4.39%) had surgical-related adverse events and 256 (0.23%) had general adverse events. The multivariate analysis showed a volume-outcome relationship, with lower rates of surgical-related adverse events in very high-volume (2.25%, aOR=0.34, 95% CI [0.29-0.39], P<.001), high-volume (4.24%, aOR=0.61, 95% CI [0.55-0.69], P<.001), and low-volume (4.69%, aOR=0.81, 95% CI [0.75-0.88], P<.001) wh en compared to very low-volume centers (6.65%). Individual socioeconomic status (aOR=1.69, 95% CI [1.47-1.94], P<.001), neighborhood deprivation (aOR=1.31, 95% CI [1.22-1.39], P<.001), and comorbidities (aOR=1.79, 95% CI [1.35-2.38], P<.001) were associated with surgical-related adverse events. Conversely, the multivariate analysis of general adverse events did not reveal any volume-outcome relationship. CONCLUSION: The presence of a volume-outcome relationship underscores the need for enhanced safety standards in low-volume centers to ensure equity in women's safety during surgical abortions. However, our findings also highlight the complexity of this safety concern which involves multiple other factors including socioeconomic status and comorbidities that policymakers must consider.

Exploring the fear of clinical errors: associations with socio-demographic, professional, burnout, and mental health factors in healthcare workers - A nationwide cross-sectional study.

Background: The fear of clinical errors among healthcare workers (HCW) is an understudied aspect of patient safety. This study aims to describe this phenomenon among HCW and identify associated socio-demographic, professional, burnout and mental health factors. Methods: We conducted a nationwide, online, cross-sectional study targeting HCW in France from May to June 2021. Recruitment was through social networks, professional networks, and email invitations. To assess the fear of making clinical errors, HCW were asked: "During your daily activities, how often are you afraid of making a professional error that could jeopardize patient safety?" Responses were collected on a 7-point Likert-type scale. HCW were categorized into "High Fear" for those who reported experiencing fear frequently ("once a week," "a few times a week," or "every day"), vs. "Low Fear" for less often. We used multivariate logistic regression to analyze associations between fear of clinical errors and various factors, including sociodemographic, professional, burnout, and mental health. Structural equation modeling was used to explore how this fear fits into a comprehensive theoretical framework. Results: We recruited a total of 10,325 HCW, of whom 25.9% reported "High Fear" (95% CI: 25.0-26.7%). Multivariate analysis revealed higher odds of "High Fear" among males, younger individuals, and those with less professional experience. High fear was more notable among physicians and nurses, and those working in critical care and surgery, on night shifts or with irregular schedules. Significant associations were found between "High Fear" and burnout, low professional support, major depressive disorder, and sleep disorders. Conclusions: Fear of clinical errors is associated with factors that also influence patient safety, highlighting the importance of this experience. Incorporating this dimension into patient safety culture assessment could provide valuable insights and could inform ways to proactively enhance patient safety.

The impact of hospital saturation on non-COVID-19 hospital mortality during the pandemic in France: a national population-based cohort study.

BACKGROUND: A previous study reported significant excess mortality among non-COVID-19 patients due to disrupted surgical care caused by resource prioritization for COVID-19 cases in France. The primary objective was to investigate if a similar impact occurred for medical conditions and determine the effect of hospital saturation on non-COVID-19 hospital mortality during the first year of the pandemic in France. METHODS: We conducted a nationwide population-based cohort study including all adult patients hospitalized for non-COVID-19 acute medical conditions in France between March 1, 2020 and 31 May, 2020 (1st wave) and September 1, 2020 and December 31, 2020 (2nd wave). Hospital saturation was categorized into four levels based on weekly bed occupancy for COVID-19: no saturation (< 5%), low saturation (> 5% and ≤ 15%), moderate saturation (> 15% and ≤ 30%), and high saturation (> 30%). Multivariate generalized linear model analyzed the association between hospital saturation and mortality with adjustment for age, sex, COVID-19 wave, Charlson Comorbidity Index, case-mix, source of hospital admission, ICU admission, category of hospital and region of residence. RESULTS: A total of 2,264,871 adult patients were hospitalized for acute medical conditions. In the multivariate analysis, the hospital mortality was significantly higher in low saturated hospitals (adjusted Odds Ratio/aOR = 1.05, 95% CI [1.34-1.07], P < .001), moderate saturated hospitals (aOR = 1.12, 95% CI [1.09-1.14], P < .001), and highly saturated hospitals (aOR = 1.25, 95% CI [1.21-1.30], P < .001) compared to non-saturated hospitals. The proportion of deaths outside ICU was higher in highly saturated hospitals (87%) compared to non-, low- or moderate saturated hospitals (81-84%). The negative impact of hospital saturation on mortality was more pronounced in patients older than 65 years, those with fewer comorbidities (Charlson 1-2 and 3 vs. 0), patients with cancer, nervous and mental diseases, those admitted from home or through the emergency room (compared to transfers from other hospital wards), and those not admitted to the intensive care unit. CONCLUSIONS: Our study reveals a noteworthy "dose-effect" relationship: as hospital saturation intensifies, the non-COVID-19 hospital mortality risk also increases. These results raise concerns regarding hospitals' resilience and patient safety, underscoring the importance of identifying targeted strategies to enhance resilience for the future, particularly for high-risk patients.

Psychometric Assessment of an Item Bank for Adaptive Testing on Patient-Reported Experience of Care Environment for Severe Mental Illness: Validation Study.

BACKGROUND: The care environment significantly influences the experiences of patients with severe mental illness and the quality of their care. While a welcoming and stimulating environment enhances patient satisfaction and health outcomes, psychiatric facilities often prioritize staff workflow over patient needs. Addressing these challenges is crucial to improving patient experiences and outcomes in mental health care. OBJECTIVE: This study is part of the Patient-Reported Experience Measure for Improving Quality of Care in Mental Health (PREMIUM) project and aims to establish an item bank (PREMIUM-CE) and to develop computerized adaptive tests (CATs) to measure the experience of the care environment of adult patients with schizophrenia, bipolar disorder, or major depressive disorder. METHODS: We performed psychometric analyses including assessments of item response theory (IRT) model assumptions, IRT model fit, differential item functioning (DIF), item bank validity, and CAT simulations. RESULTS: In this multicenter cross-sectional study, 498 patients were recruited from outpatient and inpatient settings. The final PREMIUM-CE 13-item bank was sufficiently unidimensional (root mean square error of approximation=0.082, 95% CI 0.067-0.097; comparative fit index=0.974; Tucker-Lewis index=0.968) and showed an adequate fit to the IRT model (infit mean square statistic ranging between 0.7 and 1.0). DIF analysis revealed no item biases according to gender, health care settings, diagnosis, or mode of study participation. PREMIUM-CE scores correlated strongly with satisfaction measures (r=0.69-0.78; P<.001) and weakly with quality-of-life measures (r=0.11-0.21; P<.001). CAT simulations showed a strong correlation (r=0.98) between CAT scores and those of the full item bank, and around 79.5% (396/498) of the participants obtained a reliable score with the administration of an average of 7 items. CONCLUSIONS: The PREMIUM-CE item bank and its CAT version have shown excellent psychometric properties, making them reliable measures for evaluating the patient experience of the care environment among adults with severe mental illness in both outpatient and inpatient settings. These measures are a valuable addition to the existing landscape of patient experience assessment, capturing what truly matters to patients and enhancing the understanding of their care experiences. TRIAL REGISTRATION: ClinicalTrials.gov NCT02491866; https://clinicaltrials.gov/study/NCT02491866.

Severe mental illness and mortality in sepsis and septic shock: a systematic review and meta-analysis.

BACKGROUND: There have been conflicting reports regarding the case-fatality outcomes associated with sepsis and septic shock in patients with severe mental illness (SMI). METHODS: We searched Medline®, Web of Science® and the Cochrane Library® databases (from inception to 4-July-2023) for papers reporting outcomes associated with sepsis and septic shock in adult with (cases) vs. without SMI (controls). The main study outcome was the unadjusted case-fatality rate at hospital discharge, or 30 days if unavailable. Secondary outcomes included the rates of adjusted case-fatality at hospital discharge. RESULTS: A total of six studies were included in the systematic review, of which four provided data for meta-analysis involving 2,124,072 patients. Compared to controls, patients with SMI were younger and more frequently women. Unadjusted analyses showed that SMI patients had a lower case-fatality rate associated with sepsis and septic shock than their non-SMI counterparts (OR 0.61, 95% CI [0.58-0.65], PI 95% CI [0.49-0.77], I2 = 91%). Meta-regression and subgroup analyses showed that the denominator of the study population (i.e. septic shock or sepsis) was associated with the outcome with an R2 of 59.7%. CONCLUSION: In conclusion, our study reveals a survival advantage of SMI patients over their non-SMI counterparts. Further research is needed to fully elucidate the mechanisms involved and to develop targeted interventions that can improve the prognosis of both SMI and non-SMI patients facing sepsis.

Crack-Resistant and Tissue-Like Artificial Muscles with Low Temperature Activation and High Power Density.

Constructing soft robotics with safe human-machine interactions requires low-modulus, high-power-density artificial muscles that are sensitive to gentle stimuli. In addition, the ability to resist crack propagation during long-term actuation cycles is essential for a long service life. Herein, a material design is proposed to combine all these desirable attributes in a single artificial muscle platform. The design involves the molecular engineering of a liquid crystalline network with crystallizable segments and an ethylene glycol flexible spacer. A high degree of crystallinity can be afforded by utilizing aza-Michael chemistry to produce a low covalent crosslinking density, resulting in crack-insensitivity with a high fracture energy of 33 720 J m-2 and a high fatigue threshold of 2250 J m-2. Such crack-resistant artificial muscle with tissue-matched modulus of 0.7 MPa can generate a high power density of 450 W kg-1 at a low temperature of 40 °C. Notably, because of the presence of crystalline domains in the actuated state, no crack propagation is observed after 500 heating-cooling actuation cycles under a static load of 220 kPa. This study points to a pathway for the creation of artificial muscles merging seemingly disparate, but desirable properties, broadening their application potential in smart devices.

Corrigendum to "Financing for HIV/AIDS in the dual transition of epidemics and economy: the 10-year experience of Vietnam" [The Lancet Regional Health - Western Pacific 38 (2023) 100886].

[This corrects the article DOI: 10.1016/j.lanwpc.2023.100886.].

Unmasking the triad of burnout, absenteeism, and poor sleep among healthcare workers during the third wave of COVID-19 pandemics. Results from the national AMADEUS study.

BACKGROUND: Burnout and absenteeism are prevalent among healthcare workers, reflecting prolonged work-related stress and dissatisfaction with their job. Identifying poor sleep as a contributing factor can assist in developing targeted interventions. This study explored the relationship between burnout, absenteeism, and sleep among healthcare workers. METHODS: A nationwide online cross-sectional study was conducted among healthcare professionals in France during the third wave of COVID-19, from May 2021 to June 2021. Recruitment strategies included outreach through social and professional networks and email invitations. Burnout was assessed using the Maslach Burnout Inventory, absenteeism through self-reported days absent in the preceding 12 months, and sleep quality using the Pittsburgh Sleep Quality Index. The association between burnout, absenteeism, and poor sleep was analyzed using multivariate logistic regression, accounting for individual and professional variables. The study also explored various sleep dimension abnormalities. RESULTS: Of 10,087 healthcare workers, 55.2 % reported burnout, 20.5 % absenteeism, and 64.8 % poor sleep. Burnout and absenteeism were more frequent in individuals with poor sleep compared to those with good sleep (74.2 % vs. 25.8 % and 75.6 % vs. 24.4 %, respectively). The multivariate analyses confirmed the associations between burnout, absenteeism, and poor sleep (Adjusted Odds Ratio [aOR] = 2.15, 95 % CI [1.97-2.35], p < 0.001; and aOR = 1.49, 95 % CI [1.32-1.67], p < 0.001, respectively). INTERPRETATION: The study highlighted the intricate relationship between burnout, absenteeism, and poor sleep among healthcare professionals, informing workforce management and policy decisions to foster a supportive work environment and enhance their well-being.

Poverty and inequality in real-world schizophrenia: a national study.

Background: Schizophrenia has high socioeconomic impact among severe psychiatric disorders. Aims: To explore clinician-reported and patient-reported inequities between patients under the poverty threshold vs. the others. Method: 916 patients consecutively recruited in 10 national centers received a comprehensive standardized evaluation of illness severity, addictions and patient-reported outcomes. Results: 739 (80.7%) of the patients were classified in the poverty group. This group had poorer objective illness outcomes (lower positive, negative, cognitive, excitement/aggressive and self-neglect symptoms and lifetime history of planned suicide) in multivariate analyses. While they had similar access to treatments and psychotherapy, they had lower access to socially useful activities, couple's life, housing and parenthood. They had also more disturbed metabolic parameters. On the contrary, the poverty group reported better self-esteem. No significant difference for depression, risky health behavior including addictions and sedentary behavior was found. Interpretation: The equity in access to care is attributed to the French social system. However, mental and physical health remain poorer in these patients, and they still experience poor access to social roles independently of illness severity and despite healthcare interventions. These patients may have paradoxically better self-esteem due to decreased contact with society and therefore lower stigma exposure (especially at work). Schizophrenia presents itself as a distinct impoverished population concerning health-related outcomes and social integration, warranting focus in public health initiatives and improved treatment, including tailored interventions, collaborative care models, accessible mental health services, housing support, vocational training and employment support, community integration, education and awareness, research and data collection, culturally competent approaches, and long-term support.

Toward sustainable development goals in gender inequality: an analysis of gender preferences among urban pregnant women in a Southeast Asian country.

BACKGROUND: Gender-biased discrimination and preferences are global phenomena, particularly son preferences. However, updated evidence about this issue in Vietnam has not yet been provided. Therefore, this study aimed to examine the gender preferences among pregnant women and identify associated factors of such preferences. METHODS: A cross-sectional survey was conducted in two hospitals in Vietnam with 732 pregnant women. Gender preferences for their child were asked, along with socio-demographic (e.g., education, occupation) and pregnancy characteristics (e.g., pressure to have a son, gender of first child, the importance to have a son of family members, and information sources on pregnancy care) by using face-to-face interviews and a structured questionnaire. Multinomial logistic regression was performed to determine factors associated with gender preferences. RESULTS: About 51.9% of the participants had no gender preference, while, among those who had a gender preference, 26.5% preferred sons, and 21.6% preferred daughters. Only 6.2% had pressure to have a son. Having the first child who was female (OR = 4.16, 95%CI = 1.54-11.25), having the pressure to have a son (OR = 6.77, 95%CI = 2.06-22.26), and higher self-perceived importance to have a son (OR = 3.05, 95%CI = 1.85-5.02) were positively associated with son preference. Otherwise, women having partners with high school education or above (OR = 2.04, 95%CI = 1.06-3.91), living with parents-in-law (OR = 2.33; 95%CI = 1.25-4.34), the higher number of pregnancies, and a higher degree of importance in having a son regarding parents-in-law (OR = 2.15, 95%CI = 1.38-3.35) associated with higher odds of preferring daughter. CONCLUSION: This study showed that gender preference was common among pregnant women, but the pressure to have a son was low. Further education programs and legal institutions should be implemented to improve gender inequality and gender preference in society.

Association between physical activity and health in healthcare professionals : Results from the nationwide AMADEUS survey.

OBJECTIVE: The objective of this study was to assess the prevalence of healthcare professionals engaging in insufficient levels of physical activity (PA) and to identify sociodemographic, professional and health characteristics associated with insufficient PA levels. METHODS: We conducted a nationwide online cross-sectional study targeting healthcare professionals in France from May 2021 to June 2021. Participant recruitment involved outreach through social networks, professional networks, and email invitations. PA levels were assessed using the International Physical Activity Questionnaire (IPAQ), with insufficient PA defined as weekly PA totaling less than 600 mets/week. RESULTS: The study included a total of 10,325 participants, of whom 3939 (38.1%, 95% confidence interval 37.1-39.0%) exhibited insufficient levels of PA. In the multivariable analysis, we identified factors associated with insufficient PA: ages between 35-44 (aOR=1.58, 95%CI [1.21-2.06], p=.001) and 45-54 years (aOR=1.40, 95%CI [1.07-1.83], p =.015), gender (female aOR=1.47, 95%CI [1.12-1.44], p<.001), and professions including health executive (aOR=1.27, 95%CI [1.32-1.64], p<.001), nurse assistant (aOR=1.25, 95%CI [1.07-1.47], p=.006), and physician (aOR=1.18, 95%CI [1.03-1.34], p=.015). Additionally, burnout (aOR=1.32, 95%CI [1.21-1.44], p<.001), tobacco use (aOR=1.33, 95%CI [1.20-1.58], p<.001), being overweight (aOR=1.39, 95%CI [1.28-1.52], p<.001), major depression (aOR=1.44, 95%CI [1.20-1.47], p<.001), and sleep disorders (aOR=1.14, 95%CI [1.05-1.25], p=.002) were associated with insufficient PA. Work night shifts was associated with sufficient PA. CONCLUSION: Our study has revealed a substantial prevalence of healthcare professionals with insufficient PA levels. This prevalence, coupled with various associated health-damaging behaviors and mental health issues, underscores the importance of acknowledging the barriers they encounter in adopting a physically active lifestyle.

Enhancing patient experience assessment with psychological care in severe mental disorders: A study of the PREMIUM program.

Incorporating the experiences of patients with severe mental disorders (SMD) into clinical practice offers valuable insights for optimizing psychological care's effectiveness with more patient-centered and personalized interventions. The study aimed to develop a patient-reported experience measure regarding psychological care (PREMIUM-PSY) using adaptive testing and investigate its association with quality of life. In a multicenter study involving 443 patients with SMD, PREMIUM-PSY demonstrated both validity and efficiency (6-item average). Positive patient experiences were associated with enhanced mental and physical quality of life (ß = 3.15[2.17;4.12], p < 0.001 and ß = 1.18[0.04;2.32], p = 0.042), suggesting PREMIUM-PSY's potential for optimizing psychological care outcomes.

Social and Economic Impacts of COVID-19 Among Health Professionals in Vietnam: Status and Associations with Quality of Life and Sleep Quality.

PURPOSE: The COVID-19 pandemic has transformed the way of life of many individuals, especially those working at the frontlines, such as healthcare workers. Our study aims to examine the impact of COVID-19 on the socio-economic status, quality of life, and sleep quality when Vietnam was experiencing the 4th wave of the COVID-19 pandemic. METHODS: A cross-sectional study was conducted on 604 healthcare workers using snowball sampling from October through to November 2021. Our study examined the impact of the government's COVID-19 prevention policy including personal protective measures (5K measures), directive 15, directive 16, and directive 16 plus. The EQ-5D-5L and EQ-VAS were used to measure health-related quality of life and a scale of 1 to 10 was used to rate sleep quality of healthcare workers. RESULTS: A total of 604 respondents, most people were female (57.9%), and working as civil servants (75.3%). Very few participants were able to increase their earnings during the pandemic. Participants who did not have monthly allowance amounts had the highest proportion (60.1%), followed by those under 2 million VND (21.2%). In the univariate regression model, people with high government policy scores tend to have lower quality of life and sleep quality scores. In addition, in the multivariable regression model, people with high scores on government policies tend to have lower quality of life (EQ-5D) scores. CONCLUSION: The COVID-19 prevention measures had a negative impact on quality of life, sleep quality, and daily demands of healthcare workers. These findings should help guide future policy implementations.

Structural Equation Model for Social Support and Quality of Life Among Individuals With Mental Health Disorders During the COVID-19 Pandemic.

BACKGROUND: In light of the COVID-19 pandemic, the distribution of social support for mental health problems has likely become unequal. Family- and community-based social support has been recognized as a promising approach for mental disorders; however, limited global frameworks have been applied to developing countries such as Vietnam. OBJECTIVE: The aim of this study was to evaluate the quality of life and social support among patients with mental health disorders in Vietnam and to investigate the factors associated with quality of life among these patients. METHODS: A cross-sectional study was conducted on 222 psychiatric patients in Hanoi from 2020 to 2022. A structured questionnaire was developed based on four standardized scales: Mental Well-Being-5 scale, Multidimensional Scale of Perceived Social Support, EuroQoL-visual analog scale (EQ-VAS), and EuroQoL-5 dimensions-5 levels (EQ-5D-5L) scale. Tobit regression was used to identify factors associated with the EQ-5D-5L and EQ-VAS scores. Structural equation modeling was applied to verify the relationship between quality of life and social support. RESULTS: The results showed that perceived support from family scored the highest compared to support from friends and significant others. Patients with depression reported the lowest quality of life and perceived social support. Structural equation modeling showed a root mean square error of approximation of 0.055 (90% CI 0.006-0.090), comparative fit index of 0.954, Tucker-Lewis index of 0.892, and standardized root mean squared error of 0.036 (P<.001). The hypothetical model indicated statistically significant correlations between EQ-VAS score and social support (P=.004), EQ-5D-5L and mental well-being (P<.001), and social support and mental well-being (P<.001). Critical deterioration of quality of life and inconsistency in social support for patients with mental illness were also recorded. CONCLUSIONS: There is a need to enhance social support and service delivery in Vietnam, focusing on occupation and quality of life. The correlations between social support, quality of life, and mental health issues suggest the potential of a clinical-social integrated intervention model of care.

Sleep timing, workplace well-being and mental health in healthcare workers.

INTRODUCTION: Healthcare workers face an elevated risk of burnout, sleep disorders, and mental health issues, potentially stemming from the misalignment of their circadian rhythm due to nonstandard work schedules. This cross-sectional survey aims to examine the connections between sleep timing, workplace well-being (including burnout and absenteeism), and mental health outcomes (specifically depression and poor sleep) in healthcare workers. Additionally, the survey takes into account individual and professional factors, as well as the interaction with work schedules. METHODS: The study encompasses 4,971 healthcare workers from both public and private healthcare facilities in France, including nurses, nursing assistants, and physicians recruited during the third wave of the COVID-19 pandemic. The Maslach Burnout Inventory assesses burnout, the Center for Epidemiologic Studies Depression Scale measures depression, and the Pittsburgh Sleep Quality Index evaluates poor sleep. Sleep timing is categorized into morning, neutral, and evening timing, referred to as midsleep. Multivariate logistic regression analysis is conducted to explore the relationships between sleep timing and burnout, depression, and poor sleep, while adjusting for various factors. RESULTS: The findings reveal that 56.5% of participants experience burnout, 29.8% report depression, and 64.5% report poor sleep. Nurses and nursing assistants exhibit a higher prevalence of poor sleep. Morning sleep timing is associated with burnout among those with fixed schedules and with depression among those with shift schedules. Among physicians, both morning and evening sleep timing are associated with depression, while morning sleep timing is linked to poor sleep across all subgroups. INTERPRETATION: This study suggests that the misalignment between healthcare workers' internal circadian rhythm and their work schedules may contribute to an increased risk of burnout, depression, and poor sleep. Occupational health services and policymakers should recognize the potential for enhancing workplace well-being and mental health outcomes by enabling healthcare workers to maintain sleep schedules that accommodate their needs.

ChatGPT: promise and challenges for deployment in low- and middle-income countries.

In low- and middle-income countries (LMICs), the fields of medicine and public health grapple with numerous challenges that continue to hinder patients' access to healthcare services. ChatGPT, a publicly accessible chatbot, has emerged as a potential tool in aiding public health efforts in LMICs. This viewpoint details the potential benefits of employing ChatGPT in LMICs to improve medicine and public health encompassing a broad spectrum of domains ranging from health literacy, screening, triaging, remote healthcare support, mental health support, multilingual capabilities, healthcare communication and documentation, medical training and education, and support for healthcare professionals. Additionally, we also share potential concerns and limitations associated with the use of ChatGPT and provide a balanced discussion on the opportunities and challenges of using ChatGPT in LMICs.