BackgroundPreventive care has an essential role in reducing income-related health inequalities. Despite a general consensus of the need of shifting focus from disease treatment to wellness and prevention, little is known about inequalities in access to preventive care in China. Our study aimed to explore the inequalities in preventive care usage and factors that were associated with such inequalities among Chinese adults.MethodsMultilevel logistic regression analyses were performed using national data from the 2011 Chinese Health and Nutrition Survey. The study sample comprised 13,483 adults who were covered by Basic Social Medical Insurance (BSMI). We analyzed individual socioeconomic status (marital status, education attainment, annual household income per capita, and medical insurance) and contextual factors for their influence on preventive care usage (region of residence and type of community) after controlling for health needs (age, sex, and health condition).ResultsOut of the participants, 6.9 % received preventive care services over the past four weeks and 3.9 % went for a general physical examination prior to the survey. We noted regional disparities in the overall use of preventive care and specific use of general physical examination, with residents from central and northeastern regions less likely to use preventive care including general physical examination than in the more affluent eastern region. Lower levels of education and income were associated with reduced use of preventive care. Subscriptions to less generous social medical insurance programs such as Urban Resident-based Medical Insurance Scheme or New Rural Cooperative Medical Scheme were associated with decreased specific use of general physical examinations, but not overall use of preventive care.ConclusionsInequalities in preventive care usage were evident in China, and were associated with health needs and socioeconomic characteristics. Current health insurance arrangements may fail to reduce inequalities relating to preventive care. A fair and more coherent policy across all BSMI schemes is needed.

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The Green Technology Innovation Behavior (GTIB) of construction enterprises is crucial for promoting green development in the construction industry. In order to clarify the mechanism of action affecting the GTIB of construction enterprises, this paper considers the context of green development in the construction industry based on the vector autoregressive model and constructs a theoretical model of GTIB in construction enterprises. Time series data collected by the Chinese government (2000–2018) were used to analyze the mechanism of action of the factors influencing the GTIB of construction enterprises by EViews 10.0. The results of the paper showed the following: (1) direct government investment has the greatest impact on the GTIB of construction enterprises and has made a positive contribution; (2) the added value of Gross Domestic Product (GDP) of the construction industry has a relatively small impact on the GTIB of construction enterprises; (3) the role of environmental regulation on the GTIB of construction enterprises is non-linear. This paper further broadens the research to the factors influencing the GTIB of construction enterprises. Meanwhile, this paper provides a reference basis for local governments to formulate policies related to the GTIB of construction enterprises.

The EQ-5D-3L and SF-6D are the most commonly used economic evaluation instruments. Data comparing the psychometric properties of the instruments are scarce in the Chinese population. This study compared the psychometric properties of these measures in the Chinese general population in Chengdu.From October to December 2012, 2186 respondents (age ≥18) were selected from urban and rural areas of Chengdu, China, via multistage stratified cluster sampling. Correlations, scatter plots and Bland-Altman plots were used to explore the relationships between the 2 measures. Ceiling and floor effects were used to analyze the score distribution. The known-groups method was used to evaluate discriminant validity.Among 2186 respondents, 2182 completed the questionnaire, and 2178 (18–82 years old, mean 46.09 ± 17.49) met the data quality requirement. The mean scores for the EQ-5D-3LCN, EQ-5D-3LUK, and SF-6DUK were 0.95 (Std: 0.11), 0.93 (Std: 0.15), and 0.79 (Std: 0.12), respectively. The correlations between domains ranged from 0.16 to 0.51. The correlation between the EQ-5D-3LCN and SF-6DUK and between the EQ-5D-3LUK and SF-6DUK was 0.46. The scatter plots and Bland-Altman plots demonstrated poor agreement between the EQ-5D-3L and SF-6D. The floor and ceiling effects were respectively 0.05% and 74.60% for the EQ-5D-3L and 0.05% and 2.53% for the SF-6DUK. The EQ-5D-3LCN, EQ-5D-3LUK and SF-6D have good discriminant validity in different sociodemographic and health condition groups. The SF-6D has higher level of discriminant validity in moderately healthy groups in the EQ-5D-3L full-health population.Both the EQ-5D-3L and SF-6D are valid economic evaluation instruments in the Chinese general population in Chengdu but do not seem to be interchangeable. The EQ-5D-3L has a higher ceiling effect and higher level of discriminant validity among different sociodemographic groups, and the SF-6D has a lower ceiling effect and higher level of discriminant validity in health condition groups. Users may consider the evidence in the choice of these instruments.