The economic burden of malaria inpatients and its determinants during China's elimination stage.

Background: Malaria burden is still worrisome, while empirical evidence from malaria-eliminated countries including China may provide inspiration for the world. Objective: This study aimed to investigate China's malaria hospitalization costs and explore its determinants. Methods: Stratified multistage sampling across provincial, municipal, and county hospitals was conducted in 2017. All the malaria medical records were retrieved from 2014 to 2016 in 70 hospitals. Parametric and non-parametric methods were employed to estimate hospitalization costs, and the non-parametric bootstrap was used to compare hospitalization costs among sample areas and assessed the uncertainty of its differences. Quantile regressions were conducted to identify the determinants of hospitalization costs. Results: The median hospitalization costs of 1633 malaria inpatients were 628 USD. Medication and laboratory tests accounted for over 70% of total expenditure. The median reimbursement rate was 41.87%, and this number was even lower in higher-level hospitals (<35%) and among the New Rural Cooperative Medical Scheme (<40%). Finally, health insurance type, hospital tier, clinical units, unknown fever, and comorbidity were the main determinants of hospitalization costs. Conclusion: The disparity of health protection for malaria hospitalization between rural and urban areas was noteworthy. Equivocal diagnosis and comorbidity are contributors of high cost as well. A reasonable payment system and enhanced capacities to treat malaria in a cost-effective way are suggested to reassure malaria economic burden.

Preventive behaviours and family inequalities during the COVID-19 pandemic: a cross-sectional study in China.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic is an international public health threat, and people's participation in disease-related preventive behaviours is the key to controlling infectious diseases. This study aimed to assess the differences in adopting preventive behaviours among populations to explore potential individual and household factors and inequalities within families. METHODS: This online survey was conducted in April 2020. The directional stratified convenient sampling method was used to select 4704 participants from eight provinces in eastern, central, and western China. The questionnaire included demographic information, household variables, and five target prevention behaviours. The chi-squared test, binary multilevel model, and Mantel-Haenszel hierarchical analysis were used for data analysis in the study. RESULTS: Approximately 71.2% of the participants had appropriate outdoor prevention, and 32.9% of the participants had indoor protection in place. Sharing behaviours (P < 0.001) and education level (P < 0.001) were positively associated with adopting preventive measures. The inhibiting effect of household crowding and stimulating effect of high household income on preventive behaviours were determined in this study. Household size was negatively associated with living area (ß = -0.057, P < 0.05) and living style (ß = -0.077, P < 0.05). Household income was positively associated with age (ß = 0.023, P < 0.05), and relationship with friends (ß = 0.053, P < 0.05). Vulnerable groups, such as older adults or women, are more likely to have inadequate preventive behaviours. Older adults (OR = 1.53, 95% CI 1.09-2.15), women (OR = 1.37, 95% CI 1.15-1.64), and those with more than 2 suspected symptoms (OR = 1.85, 95% CI 1.07-3.19) were more likely to be affected by the inhibiting effect of household crowding, while the stimulating effect of high household income was limited in these groups. CONCLUSIONS: Inequalities in COVID-19 prevention behaviours exist between families and inadequate adoption of prevention by vulnerable groups are noteworthy. This study expands the research perspective by emphasizing the role of household factors in preventive behaviours and by focusing on family inequalities. The government should use traditional media as a platform to enhance residents' public health knowledge. Targeted additional wage subsidies, investments in affordable housing, financial support for multigenerational households, and temporary relocation policies may deserve more attention. Communities could play a critical role in COVID-19 prevention.

Use of Smartphone for Verbal Autopsy.

Traditionally, verbal autopsies (VA) are collected on paper-based questionnaires and reviewed by physicians for cause of death assignment, it is resource intensive and time consuming. The Population Health Metrics Research Consortium VA questionnaires was made available on an Android-based application and cause of death was derived using the Tariff method. Over one year, all adult deaths occurring in 48 villages in 4 counties were identified and a VA interview was conducted using the smartphone VA application. A total of 507 adult deaths were recorded and VA interviews were conducted. Cardiovascular disease was the leading cause of death (35.3%) followed by injury (14.6%) and neoplasms (13.5%). The total cost of the pilot study was USD28 835 (USD0.42 per capita). The interviewers found use of smartphones to conduct interviews to be easier. The study showed that using a smartphone application for VA interviews was feasible for implementation in rural China.