Objective To find out about the current state of development and existing problems in non governmental hospitals and to explore their development direction by collecting quantitative and qualitative data. Methods Investigations in the form of questionnaires were made into all the non governmental hospitals province wide and a descriptive analysis was made of the data collected. Results Non governmental hospitals in the province witnessed fast development, and yet they were generally small scaled, lacked actual strength, and were unevenly distributed, claiming only 3% of the market share; they paid special attention to the unique features of specialties and employed flexible operational modes, and yet they were still confronted with such problems as insufficient support policies from the government and personnel instability. Conclusion There is still a long way to go before the monopoly of state run hospitals is broken, diversified modes of hospital running are developed, and fair and orderly competition is formed so as to enhance the vitality of medical institutions. Administrative departments of health should fully realize the role and social functions of non governmental hospitals and actively lead their development in a healthy direction with sound policies.

While generative artificial intelligence(AI), exemplified by ChatGPT, demonstrated impressive capabilities in understanding the semantics and context of natural language, and generating coherent and meaningful responses, its performance in the medical field, which required high-level expertise and complex reasoning, remained uncertain. This article aimed to explore the potential applications and challenges of generative AI technology, with ChatGPT as a representative example, in enhancing the capabilities of primary healthcare services. Generative AI, represented by ChatGPT, had potential applications in enhancing primary healthcare services, including clinical assistance in diagnosis, electronic medical record documentation, remote management of chronic patients, and patient education. However, limitations such as the inability to guarantee accuracy, lack of doctor-patient interaction, language barriers, and concerns related to data security, patient privacy, and ethical considerations constrained its practical implementation. Therefore, the application of ChatGPT in improving the capabilities of primary healthcare services required extensive discussion and analysis throughout society. A comprehensive evaluation of potential risks and the establishment of corresponding policies and regulations were necessary to ensure the prudent and responsible introduction and application of ChatGPT, ultimately achieving the goal of empowering primary healthcare services.

The threats to human health caused by climate change have become a global public health issue. However, at present, most studies regarding the health-related mechanisms of climate change are limited to biological mechanisms, and most of these mechanisms are not totally clear. In this special column: Mechanisms underlying human health effects of climate change, we offered several papers which investigated the effects of different meteorological factors (temperature and rainfall) on various health outcomes (preterm birth, death, diarrhea, infectious diseases, etc.), and also elaborated associated potential biological mechanisms, vulnerability mechanisms, social driving process and transmission dynamics mechanisms. These studies can deepen our understanding of the health effects of climate change, provide references to make targeted adaptative measures, and also provide scientific and technological supports for improving ability to address the health risks of climate change in China.

Preterm birth and its complications are the leading cause of neonatal death, and also a perinatal problem that contributes to the global burden of disease. Recently, the association between maternal heat exposure and elevated risk of preterm birth has been found in lots of studies. But the potential mechanisms of how heat exposure increase the incidence of preterm birth are still unclear. Thus, we reviewed maternal vulnerability factors and territorial moderators associated with preterm birth due to heat exposure during pregnancy, and summarized potential mechanisms between heat exposure and risk of preterm birth based on previous studies. We found that heat exposure during pregnancy may involve various mechanisms to increase the risk of preterm birth, such as oxidative stress, inflammation, reproductive and urinary infections, neuroendocrine changes, and complications during pregnancy. Prospective cohort studies and animal experiments should be conducted to clarify the adverse health effects of heat exposure on different types of preterm birth from three facets of "exposure-mechanism-effect", aiming to provide a scientific basis for the protection of maternal and infant health through conducing clinical preventive interventions against preterm birth in scorching weather.

Infectious diarrhea is an important public health problem, which has a significant impact on global disease burden. Under the background of climate change, rainstorms increase and floods occur frequently. Most studies show that the incidences of infectious diarrhea disease increase significantly after rainstorm and flood events. However, there is a lack of systematic summary on the path of rainstorm and flood events affecting the incidence of infectious diarrhea, including the key links and mechanisms underlying environmental-social interaction. This study comprehensively combed the literature from environmental factors, socio-economic and cultural factors, and population and individual susceptibility factors. The potential mechanisms of infectious diarrhea caused by rainstorm and flood events were discussed from the aspects of spreading of pathogens, affecting sanitation facilities and (or) drinking water treatment infrastructure, the regulatory role of individual and behavioral factors, and long-term effects. Based on the "pressure-state-response" model, a social driving process model of rainstorm and flood leading to incidence of infectious diarrhea was constructed. This model could provide reference for future quantitative modeling and other research directions. It is helpful to guide the public health departments to accurately identify factors affecting the incidence of infectious diarrhea after rainstorm and flood, so as to take targeted intervention measures.

Background Climate change has resulted in long-term impacts on human health. Implementing efficient adaptation strategies among primary healthcare facilities is well determined by whether staff of different genders recognize the health risks related to climate change and are willing to take active measures. Objective To investigate gender differences on perceptions of health risks and attitude towards adaptation strategies among primary healthcare workers in China, and provide relevant suggestions. Methods By adopting a multi-stage cluster sampling method, we selected 21 urban and 10 rural healthcare facilities in Guangdong Province to collect information with a questionnaire. Then chi-square test, Wilcoxon rank sum test, and logistic regression analysis were used to explore the gender differences in climate change-related health risk cognition, knowledge acquisition channels, attitudes towards adaptation strategies, main obstacles, and resource requirements among the healthcare workers. Results Of 733 participants, 38.47% (282 participants) were male and 61.53% (451 participants) were female. The percentages of male healthcare workers who agreed that climate change is happening and recognized the causes of climate change (70.21%, 60.99%) were higher than the percentages of female counterparts (59.87%, 49.00%) (both Ps＜0.05), but no obvious gender differences existed in recognizing health risks of heatwaves and infectious diseases as well as sensitive population identification (all Ps＞0.05). Most of the participants (92.50%) received climate change and health-related information from mass media like TV, radio, and newspapers. Meanwhile less men chose new media channels than women (OR=0.62, 95%CI∶ 0.41-0.94). Only 30.56% of the participants (33.69% of men and 28.60% of women) reported involvement of relevant training and lectures. Most of them (90.96%) agreed to take active measures to deal with the health threats associated with climate change without gender differences for various measures (all Ps＞0.05). The leading obstacles were hard to integrate health adaptation to climate change into main work of institutions (most female agreed, 72.28%) and the lack of funds (most male agreed, 77.66%). Increasing funding for primary health care was regarded as the most needed resource by male (86.88%) and female (89.14%). After controlling the influence of other social factors, more men agreed with the lack of funds than women (OR=1.57, 95%CI∶ 1.10-2.24). Conclusion There are some gender differences in the perceptions of health risks and adaptation strategies of climate change among primary healthcare workers: Male staff are more likely to agree with climate change and regard the lack of funds as the main obstacle, while women prefer to choose new media channels to obtain information. It’s suggested that the government and relevant institutions focus on the learning and training of climate change and health-related knowledge and expand diversified information access, and promote capacity building to cope with health threats at grass-root level, in the light of recognized gender differences among primary healthcare workers.

Background Preterm birth-related complications are the leading cause of death in newborns and children under the age of 5 years. Maternal heat exposure has been associated with both sleep status during pregnancy and the increased risk of preterm birth. However, whether sleep status could mediate the association between heat exposure and preterm birth remains unclear. Objective To evaluate the association between maternal heat exposure in early pregnancy and preterm birth, and to further explore potential mediation effect of sleep status on the association between heat exposure and preterm birth. Methods A birth cohort was established in Guangzhou Panyu Maternal Child Health Hospital (Guangzhou Panyu District He Xian Memorial Hospital) from 2017 until now. Pregnant women (with gestational age between 8 and 13 weeks) were included in this study when they presented to the hospital for their first prenatal care visit and signed an informed consent. Then they were followed up until delivery. A total of 3 268 pregnant women were included for the final analysis. Questionnaires were distributed to collect the demographic characteristics, lifestyles, and sleep status of pregnant women. Daily meteorological data during the study period were collected from meteorological monitoring stations in Guangzhou and the average ambient mean temperature of four weeks before the survey was calculated and assigned for each pregnancy. The 75th, 80th, 85th, 90th, and 95th percentiles (P₇₅, P₈₀, P₈₅, P₉₀, and P₉₅) of the average ambient temperature of all pregnant women were used as the thresholds to define heat exposure. Logistic regression was used to evaluate the effects of heat exposure in different definitions on preterm birth and sleep status (sleep duration, night sleep timing, and wake up timing). The mediation effects of sleep status on the relationship between heat exposure and preterm birth were also analyzed. Results Among all the included participants, 165 newborns were preterm births with an incidence rate of 5.0%. Heat exposures with thresholds of P₉₀ and P₉₅ increased the risk of preterm birth, with ORs (95%CIs) of 1.66 (1.04-2.57) and 1.90 (1.03-3.33), respectively (P<0.05). Heat exposures with thresholds of P₇₅, P₈₀, P₈₅, P₉₀, and P₉₅ decreased the sleep duration (<9 h vs. ≥9 h, control group: ≥9 h), and the ORs (95%CIs) were 1.51 (1.25-1.83), 1.44 (1.17-1.77), 1.35 (1.08-1.70), 1.43 (1.09-1.87), and 1.45 (1.00-2.13), respectively. Heat exposures with P₇₅ and P₈₀ thresholds resulted in earlier wake up timing (<8: 00 vs. ≥8: 00, control group: <8: 00), with ORs (95%CIs) of 0.77 (0.63-0.93) and 0.76(0.61-0.93), respectively. No significant association was observed between heat exposure and night sleep timing. The mediation analyses showed that under heat exposure with P₉₀ threshold, a statistically significant mediation effect was observed for sleep duration, and the proportion mediated was 6.07% (95%CI: 0.17%-25.00%) (P<0.05). No significant mediation effect was observed for night sleep timing and wake up timing. Conclusion An elevated risk of preterm birth after heat exposure in early pregnancy may be partly mediated through reducing sleep duration.

Background Climate change leads to frequent heavy rainfall events, and higher incidences of bacillary dysentery after heavy rainfall have been observed. The impacts of heavy rainfall and its antecedent rainfall conditions on the disease are worth paying attention to. Objective To quantitatively analyze how the relationship between heavy rainfall events and bacillary dysentery occurrence is modified by antecedent rainfall conditions in Anhui Province and explore the different moderation effects in urban and rural contexts. Methods CN05.1 meteorological data of Anhui Province and cases of bacillary dysentery of the same area were collected from January 1, 2006 to August 31, 2017. An exposure-response Poisson regression model of heavy rainfall events and the number of daily cases was constructed to explore the moderation effect of antecedent rainfall conditions on the incidence of bacillary dysentery, and further stratified by urban and rural areas. Results This study included 129 459 cases of bacillary dysentery, with a daily average of 30.39. Compared with dry antecedent conditions without heavy rainfall, dry antecedent conditions with heavy rainfall had no obvious different effect on the incidence of bacillary dysentery for the whole province (P>0.05). But wet antecedent conditions significantly increased the risk of bacillary dysentery for the whole province after heavy rainfall (wet antecedent conditions without heavy rainfall: RR=1.281, 95%CI: 1.264-1.298; wet antecedent conditions with heavy rainfall: RR=1.267, 95%CI: 1.167-1.376). After urban and rural stratification, antecedent rainfall conditions also showed a significant moderation effect on the incidence of bacillary dysentery following heavy rainfall events. Compared with dry antecedent conditions without heavy rainfall, dry antecedent conditions with heavy rainfall had no obvious effect on the incidence of bacillary dysentery for the urban and the rural populations (P > 0.05). However, wet antecedent conditions without heavy rainfall (urban: RR=1.391, 95%CI: 1.362-1.421; rural: RR=1.222, 95%CI: 1.201-1.243) and wet antecedent conditions with heavy rainfall (urban: RR=1.364, 95%CI: 1.193-1.559; rural: RR=1.218, 95%CI: 1.098-1.352) significantly increased the risk of bacillary dysentery in both rural and urban areas. Conclusion In the influence of heavy rainfall on the incidence of bacillary dysentery in Anhui Province, antecedent rainfall conditions have a certain moderation effect in the whole province and in both urban and rural areas, and the risk of bacillary dysentery is increased under wet antecedent conditions.