Socioeconomic characteristics and domestic work as correlates of family satisfaction in Hong Kong mothers of young children.

BACKGROUND: Family life satisfaction is an important contributor to the mental health of mothers with young children, who are particularly vulnerable to various sources of stressors. However, there is a dearth of studies on this topic in this demographic, the determinants of which likely differ across geographical and cultural contexts. We examined indicators of maternal socioeconomic status (SES) and domestic help as correlates of family satisfaction in Hong Kong mothers of young children. METHODS: Mothers (N = 322) of young children (3-5 years old) were recruited from neighbourhoods stratified by SES and population density. They self-completed a survey containing items on socio-demographics, SES characteristics (including household income and maternal education and employment status), maternal family satisfaction and division of domestic work in the household and family. Confounder-adjusted associations of maternal SES indicators and participation in housework and childcare activities by various agents (e.g., mother, spouse, other residents) were estimated. We also estimated the moderating effects of household income on the associations between maternal employment and family satisfaction, and those of maternal employment on the associations between domestic work division and family satisfaction. RESULTS: Household income and maternal education were positively related to maternal family satisfaction. Mothers in part-time employment had lower family satisfaction than non-working mothers and mothers working full-time. The latter reported higher family satisfaction than non-working mothers only if their household income was below HK$ 15,000. Domestic work performed by non-residents was predictive of higher family satisfaction, while mothers' housework and child(ren) tutoring were predictive of lower family satisfaction. Only part-time employed mothers benefited from spouse's assistance with domestic work. The interaction effects of maternal employment status on the associations between the division of child tutoring and family satisfaction were complex. CONCLUSIONS: In Hong Kong, mothers of young children with lower education and household income, who hold a part-time job and participate in housework and child tutoring activities have the lowest levels of family satisfaction and, hence, are at higher risk of mental health problems. Spouses' and non-resident family members' participation in domestic work, as well as the establishment of more family-friendly employment practices, may help mitigate this risk. TRIAL REGISTRATION: N/A.

Corrigendum to "Inpatient costs of congenital heart surgery in China: results from the National Centre for Cardiovascular Diseases" [The Lancet Regional Health - Western Pacific 2023; 31:100623].

[This corrects the article DOI: 10.1016/j.lanwpc.2022.100623.].

A real-world data validation of the value of early-stage SIR modelling to public health.

Performance of Susceptible-Infected-Recovered (SIR) model in the early stage of a novel epidemic may be hindered by data availability. Additionally, the traditional SIR model may oversimplify the disease progress, and knowledge about the virus and transmission is limited early in the epidemic, resulting in a greater uncertainty of such modelling. We aimed to investigate the impact of model inputs on the early-stage SIR projection using COVID-19 as an illustration to evaluate the application of early infection models. We constructed a modified SIR model using discrete-time Markov chain to simulate daily epidemic dynamics and estimate the number of beds needed in Wuhan in the early stage of COVID-19 epidemic. We compared eight scenarios of SIR projection to the real-world data (RWD) and used root mean square error (RMSE) to assess model performance. According to the National Health Commission, the number of beds occupied in isolation wards and ICUs due to COVID-19 in Wuhan peaked at 37,746. In our model, as the epidemic developed, we observed an increasing daily new case rate, and decreasing daily removal rate and ICU rate. This change in rates contributed to the growth in the needs of bed in both isolation wards and ICUs. Assuming a 50% diagnosis rate and 70% public health efficacy, the model based on parameters estimated using data from the day reaching 3200 to the day reaching 6400 cases returned a lowest RMSE. This model predicted 22,613 beds needed in isolation ward and ICU as on the day of RWD peak. Very early SIR model predictions based on early cumulative case data initially underestimated the number of beds needed, but the RMSEs tended to decline as more updated data were used. Very-early-stage SIR model, although simple but convenient and relatively accurate, is a useful tool to provide decisive information for the public health system and predict the trend of an epidemic of novel infectious disease in the very early stage, thus, avoiding the issue of delay-decision and extra deaths.

Inpatient costs of congenital heart surgery in China: results from the National Centre for Cardiovascular Diseases.

Background: Economic data on congenital heart disease (CHD) in China are scarce. Therefore, this study aimed to explore the inpatient costs of congenital heart surgery and related healthcare policies from a hospital perspective. Method: We used data from the Chinese Database for Congenital Heart Surgery (CDCHS) to prospectively analyse the inpatient costs of congenital heart surgery from May 2018 to December 2020. The total expenditure was divided into 11 columns (medications, imaging, consumable items, surgery, medical cares, laboratory tests, therapy, examinations, medical services, accommodations, and others), and explored according to the Society of Thoracic Surgeons-European Association for Cardio-Thoracic Surgery (STAT) category, year, different age group, and CHD complexity. Authority economic data (index for gross domestic product [GDP], GDP per capita, per capita disposable income and average annual exchange rate of 2020 Chinese Yuan against US dollar) were accessed via the National Bureau of Statistics of China to better describe the burden. In addition, potential factors contributing to the costs were also investigated by using generalised linear model. Findings: All values are presented in 2020 Chinese Yuan (¥). A total of 6568 hospitalisations were enrolled. The median of overall total expenditure was ¥64,900 (≈9409 US Dollar [USD], interquartile range [IQR]: ¥35,819), with the lowest in STAT 1 (¥57,014 ≈ 8266 USD, [IQR]: ¥16,774) and the highest in STAT 5 (¥194,862 ≈ 28,251 USD, [IQR]: ¥130,010). The median costs during the 2018 to 2020 period were ¥62,014 (≈8991 USD, [IQR]: ¥32,628), ¥64,846 (≈9401 USD, [IQR]: ¥34,469) and ¥67,867 (≈9839 USD, [IQR]: ¥41,496). Regarding to age, the median costs were highest in the ≤1 month group (¥144,380 ≈ 20,932 USD, [IQR]: ¥92,584). Age, STAT category, emergency, genetic syndrome, delay sternal closure, mechanical ventilation time, and complications were significantly contributed to the inpatient costs. Interpretation: For the first time, the inpatient costs of congenital heart surgery in China are delineated in detail. According to the results, CHD treatment has achieved significant progress in China, but it still causes substantial economic burden to both families and society. In addition, ascending trend of the inpatient costs was observed during the period of 2018-2020, and the neonatal was revealed to be the most challenging group. Funding: This study was supported by the CAMS Innovation Fund for Medical Sciences (CIFMS,2020-I2M-C&T-A-009), Capital Health Research and Development of Special Fund (2022-1-4032), and The City University of Hong Kong New Research Initiatives/Infrastructure Support from Central (APRC, 9610589).

Cost-effectiveness analysis of autogenous arteriovenous fistula, arteriovenous graft, and tunneled-cuffed catheter for hemodialysis in patients with end-stage kidney disease in Southern China.

OBJECTIVES: To evaluate the cost-effectiveness of three permanent vascular accesses for maintenance hemodialysis patients from a hospital perspective throughout 5 years, which is the average life expectancy of patients with end-stage kidney disease. SUBJECTS AND METHODS: We conducted a EuroQol(EQ-5D) questionnaire survey between January 2021 and March 2021 with 250 patients to estimate the health utility of various states in patients under different hemodialysis vascular access. We designed a Markov model and conducted a cost-effectiveness analysis to compare the cost-effectiveness of three hemodialysis vascular access in Guangzhou throughout 5 years. RESULTS: The mean costs were US$44,481 with tunneled-cuffed catheter (TCC), and US$68,952 and US$59,247 with arteriovenous graft (AVG) and autogenous arteriovenous fistula (AVF), respectively. The mean quality-adjusted life-years (QALYs) was 1.41 with TCC, and 2.37 and 2.73 with AVG and AVF, respectively. AVG had an incremental cost-effectiveness ratio (ICER) of US$25,491 per QALY over TCC; AVF had an ICER of -US$26,958 per QALY over AVG. At a willingness to pay below US$10,633.8 per QALY, TCC is likely the most cost-effective vascular access. At any willingness to pay between US$10,633.8 and US$30,901.4 per QALY, AVF is likely the most cost-effective vascular access. CONCLUSION: These findings illustrate the value of AVF given its relative cost-effectiveness to other hemodialysis modalities. Although AVG costs much more than TCC for slightly higher QALYs than TCC, AVG still has a greater advantage over TCC for patients with longer life expectancy due to its lower probability of death.

Lifestyles and health-related quality of life in Chinese people: a national family study.

BACKGROUND: There were few studies that investigated health-related quality of life (HRQoL) of the general population in China, and many of them reported limitations in sampling. OBJECTIVE: To investigate the relationship between lifestyles and HRQoL in the Chinese population in both individual and family levels. METHOD: Online questionnaires were distributed across China to collect demographic information and participants' HRQoL using EuroQoL 5 Dimension scales. The EuroQoL Group's 5 Dimension scale (EQ-5D) index and EuroQoL Group's visual analog scale (EQ VAS) score were calculated to evaluate the HRQoL. RESULTS: A total of 1305 valid questionnaires were included. Higher HRQoL was found in people with intend to lower oil intake, intend to lower salt intake, intend to lower sugar intake, balanced diet, moderate sports every week, a sport hobby and joining a fitness organization (all p<.05). HRQoL was higher among male (female as reference), healthy weight (unhealthy weight as reference) (both p<.05). Negative correlation was found between HRQoL and clinical medical history and drinking history. Small families (1-2 persons, 83.19 ± 20.14) had poorer HRQoL (EQ VAS score) than big families (≥3 persons, 85.00 ± 17.96, p <.05). CONCLUSION: In China, people with healthy dietary habits, regular sports habits, healthy weight and male groups tended to have better HRQoL. Clinical medical history and drinking history were negatively related to HRQoL. Small families tend to have poorer HRQoL than big families. The finding implicated influence of the number of family members on people's perception of health and provided scientific evidence for the current policies to encourage birth in China. For a better HRQoL, we suggest people live in big families and take measures to lower salt/sugar/oil intake and exercise regularly in daily life.

The cost-effectiveness of bivalent, quadrivalent, and nine-valent HPV vaccination in Asia: a systematic review.

PURPOSE: The aim of this study was to systematically review the cost-effectiveness of HPV vaccination in Asia. METHODS: We performed a systematic review of papers indexed in PubMed, Scopus, and Web of Science covering the period from 1 January 2000 to 13 August 2020. RESULTS: Sixteen studies were included in the review. Half of them (8 studies) evaluated the cost-effectiveness of HPV vaccination in high-income countries and regions (HICs) while the other eight studies were set in low- and middle-income countries and regions (LMICs). In HICs, the implementation of bivalent, quadrivalent and nine-valent HPV vaccination was all shown to be cost-effective. Most studies (7/8) also showed that it was cost-effective to implement bivalent, quadrivalent, and nine-valent HPV vaccines in LMICs. However, one study concluded that it was not cost-effective to implement bivalent HPV vaccination in Thailand. CONCLUSION: In general, the implementation of bivalent, quadrivalent and nine-valent HPV vaccination for adolescent girls was cost-effective in both high-income countries and regions and low- and middle-income countries and regions in Asia. Policy makers in HICs could consider expanding the target vaccinated population, while for LMICs it is essential to reduce HPV vaccine price to a level at which the implementation of HPV vaccination is cost-effective.

Patients' Preferences for Artificial Intelligence Applications Versus Clinicians in Disease Diagnosis During the SARS-CoV-2 Pandemic in China: Discrete Choice Experiment.

BACKGROUND: Misdiagnosis, arbitrary charges, annoying queues, and clinic waiting times among others are long-standing phenomena in the medical industry across the world. These factors can contribute to patient anxiety about misdiagnosis by clinicians. However, with the increasing growth in use of big data in biomedical and health care communities, the performance of artificial intelligence (Al) techniques of diagnosis is improving and can help avoid medical practice errors, including under the current circumstance of COVID-19. OBJECTIVE: This study aims to visualize and measure patients' heterogeneous preferences from various angles of AI diagnosis versus clinicians in the context of the COVID-19 epidemic in China. We also aim to illustrate the different decision-making factors of the latent class of a discrete choice experiment (DCE) and prospects for the application of AI techniques in judgment and management during the pandemic of SARS-CoV-2 and in the future. METHODS: A DCE approach was the main analysis method applied in this paper. Attributes from different dimensions were hypothesized: diagnostic method, outpatient waiting time, diagnosis time, accuracy, follow-up after diagnosis, and diagnostic expense. After that, a questionnaire is formed. With collected data from the DCE questionnaire, we apply Sawtooth software to construct a generalized multinomial logit (GMNL) model, mixed logit model, and latent class model with the data sets. Moreover, we calculate the variables' coefficients, standard error, P value, and odds ratio (OR) and form a utility report to present the importance and weighted percentage of attributes. RESULTS: A total of 55.8% of the respondents (428 out of 767) opted for AI diagnosis regardless of the description of the clinicians. In the GMNL model, we found that people prefer the 100% accuracy level the most (OR 4.548, 95% CI 4.048-5.110, P<.001). For the latent class model, the most acceptable model consists of 3 latent classes of respondents. The attributes with the most substantial effects and highest percentage weights are the accuracy (39.29% in general) and expense of diagnosis (21.69% in general), especially the preferences for the diagnosis "accuracy" attribute, which is constant across classes. For class 1 and class 3, people prefer the AI + clinicians method (class 1: OR 1.247, 95% CI 1.036-1.463, P<.001; class 3: OR 1.958, 95% CI 1.769-2.167, P<.001). For class 2, people prefer the AI method (OR 1.546, 95% CI 0.883-2.707, P=.37). The OR of levels of attributes increases with the increase of accuracy across all classes. CONCLUSIONS: Latent class analysis was prominent and useful in quantifying preferences for attributes of diagnosis choice. People's preferences for the "accuracy" and "diagnostic expenses" attributes are palpable. AI will have a potential market. However, accuracy and diagnosis expenses need to be taken into consideration.

The economic burden of medical treatment of children with asthma in China.

BACKGROUND: At present, there are few studies on the economic burden and medical treatment of children with asthma in China. Thus this study aimed to investigate the economic burden of medical treatment of children with asthma in China. METHOD: The 2015 China Medical Insurance Research Association (CHIRA) database was searched for patients with asthma from 0 to 14 years old. A cross-sectional study with cost analysis was conducted. RESULTS: The annual per capita direct medical cost was RMB 525 (US$75) related to asthma. Totaling 58% of the medical expenditure for asthma was covered by insurance in China, the majority of which were direct medical costs. Those that have the highest rates of using antibiotics were central China (100.0%), children aged 3 years and under (63.6%), as well as fourth-tier and fifth-tier cities (77.1%). Outpatient clinics (98.58% vs 1.42%, P < 0.01), tertiary hospitals (62.08% vs 37.92%, P < 0.01), and general hospitals (72.27% vs 27.73%, P < 0.01) were more often visited than the inpatient clinics, secondary and primary as well as the specialized clinics, respectively. CONCLUSION: The economic burden of childhood asthma in China is relatively low, and the national medical insurance reduces their economic burden to a large extent. Abuse of antibiotics in treating asthma was found in China. There remain opportunities to strengthen the hierarchical medical system, reducing hospitalization and emergency visits, and ultimately reducing the economic burden of children with asthma.

The Role of the Sharing Economy and Artificial Intelligence in Health Care: Opportunities and Challenges.

Health care systems worldwide have been influenced by the globally growing trend toward a sharing economy and will likely advance with these trends in the near future. Therefore, based on peer-to-peer relationships between individuals, sharing health care works by renting medical staff, facilities, and other medical resources. Medical data innovation, integration, analysis, and sharing have the potential to dramatically change the current pattern of the health care system and to provide precise and predictive medical assessment for individuals in the future. In addition, artificial intelligence could be useful in the fields of both clinical medicine and medical research and help to minimize the scarcity of human resources and broaden the role of humans in health care.

Relationships between the neighborhood environment and depression in older adults: a systematic review and meta-analysis.

ABSTRACTBackground:While depression is a growing public health issue, the percentage of individuals with depression receiving treatment is low. Physical and social attributes of the neighborhood may influence the level of depressive symptoms and the prevalence of depression in older adults. METHODS: This review systematically examined the literature on neighborhood environmental correlates of depression in older adults. Findings were analyzed according to three depression outcomes: depressive symptoms, possible depression, and clinical depression. Based on their description in the article, environmental variables were assigned to one of 25 categories. The strength of evidence was statistically quantified using a meta-analytical approach with articles weighted for sample size and study quality. Findings were summarized by the number of positive, negative, and statistically non-significant associations by each combination of environmental attribute - depression outcome and by combining all depression outcomes. RESULTS: Seventy-three articles met the selection criteria. For all depression outcomes combined, 12 of the 25 environmental attribute categories were considered to be sufficiently studied. Three of these, neighborhood socio-economic status, collective efficacy, and personal/crime-related safety were negatively associated with all depression outcomes combined. Moderating effects on associations were sparsely investigated, with 52 articles not examining any. Attributes of the physical neighborhood environment have been understudied. CONCLUSION: This review provides support for the potential influence of some neighborhood attributes on population levels of depression. However, further research is needed to adequately examine physical attributes associated with depression and moderators of both social and physical neighborhood environment attribute - depression outcome associations.

Associations of objectively-assessed neighborhood characteristics with older adults' total physical activity and sedentary time in an ultra-dense urban environment: Findings from the ALECS study.

Associations of objectively-assessed neighborhood environment characteristics with accelerometer-based physical activity (PA) and sedentary time, and their socio-demographic and health-status moderators were examined. Data were collected on 402 Hong Kong Chinese older adults from neighborhoods stratified by socio-economic status and transport-related walkability. Few main effects were observed. Sex moderated a third of the associations of environmental attributes with light-to-vigorous PA and sedentary time. Education and car ownership also moderated several associations with moderate-to-vigorous PA, light-to-vigorous PA, and sedentary time. Only two associations depended on age and health-related status. These findings suggest that social factors rather than physical capacity and health status may need to be considered in efforts to optimize activity-friendly environments for Chinese older urban dwellers.