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Impact Evaluation Of Meteorological Early Warning Service On Children Cold

Posted on:2015-09-28Degree:MasterType:Thesis
Country:ChinaCandidate:X H JingFull Text:PDF
GTID:2284330464955693Subject:Social Medicine and Health Management
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BackgroundWith the continuous improvement of people’s living standards, the rapid development of child care had entered a new period, it also faced with new challenges at the same time. Parents and other people put forward higher requirements on children’s health and growth. Cold is a common disease in children, which is likely to happen all the year round. Temperature change, hot and humid weather, extreme cold weather and storms can easily lead to resistance of children’s respiratory tract mucous membrane lessening. As a vulnerable children, due to the physical development is not mature and weak resistance, they are easier to catch cold by virus when climate and environment changing. Studying the relation between the weather and childhood cold and setting up disease forecast model can timely provide trend prediction of relationship of weather and cold, which is helpful to implement the prevention policy, guide the parents and teachers respond in a timely manner, protect children’s physical and mental health.The above situation made providing specialized meteorological early warning service to prevent the happening of the cold and improve the quality of life very necessary. However, currently healthy meteorological service was found only in life index and common diseases index, most of the research focused on cold general prevention and treatment intervention, and no intervention by meteorological early warning service research can be retrieved in published literature.ObjectiveThe overall objective is to evaluate the effect of meteorological early warning service for colds and parents’satisfaction with the service and provide some evidence and illumination for perfecting the meteorological early warning service. Specific objectives include:a) to reduce the incidence of colds and absences from kindergarten compared with baseline data; b) to evaluate the change about children’s quality of life before and after intervention from the next four dimension:physiological function, emotional function, social function and the performance of the school; c) to discuss the changes on the degree of parent’s satisfaction before and after the intervention from the following four aspects which include accessibility、compliance、satisfaction and benefits of the warning service; d) to inductive the advice from the health care teacher of children and their parents and feedback to the service department.Material and Methods(1)Source of materials:The data in this research was collected from a random sample of ten kindergarten which were randomly divided into intervention group and control group,and collected a total of 1683 data. The baseline survey for parents in conformity with the scope of research was executed in December 2011,and the final survey was executed in March 2013.(2)Content of the study:This study included baseline survey and final survey of children’s parents, including the demographics and status of their family and meteorological service satisfaction,children’s monthly colds and absence from kindergarten days during the intervention, changes about the quality of life before and after intervention. The weather warning service department provided cold warning and dynamic guidance content to parents and health care teachers belong to intervention group form February 2012 to March 2013, the control group didn’t take any measures.(3) Methods:Epidata3.0, SPSS19.0 and Microsoft Excel2010 software were used to input and analyze the data. In order to describe the general situation, Group t test, Chi-square test and Fisher’s exact probability method were used in the research. The cold control situation were respectively compared with Paired T test in intervention and control group, then we put Multiple level model into use to correct the confounding factors. Children’s quality of life was also applied this Multiple level model. P<0.05 were statistically significant.Results816 children were included in the intervention group whose average age were 5.16,867 children were included in the control group whose average age were 5.16.The average monthly colds of intervention group were 2.71 in the baseline survey, the number was 1.42 after the intervention. The corresponding number is in the placebo group were 2.72 and 1.74, no statistical difference between them. Put the gender,age,average monthly colds of baseline, annual household income,main supporter, parents’ education and career and family structure as covariates, the regression coefficient of multilevel models for colds between intervention and control groups was -0.306, intervention group assignment to 0 and control group to 1.The regression coefficient of children’s gender, age, annual household income and father’s education was 0.0856,-0.084,-0.04 and -0.58,respectively.The monthly absence from school days in baseline was 0.5 day, the number deduced to 0.19 after the intervention in the intervention group. There was significantly statistical difference between them. The regression coefficient of multilevel models for absence days between intervention and control groups was-0.218932, intervention group assignment to 0 and control group to 1.The regression coefficient of children’s age,,main supporter and mother’s career was 0.0856,-0.045,-0.0788 and -0.0219,respectively.The Score about children’s quality of life was 1.62±0.21 before intervention,which changed to 1.44±0.26 in the final survey. The regression coefficient of multilevel models for children’s quality of life between intervention and control groups was -0.24129, intervention group assignment to 0 and control group to 1.The regression coefficient of children’s age, annual household income and father’s education was -0.054,-0.06, and 0.032, respectively.The average score about parent’s final satisfaction of the cold early warning of meteorological service was 1.86±0.23. After the intervention, their satisfaction rate increased by 28.6 percent compared to baseline, the increases was 81.9%.The rate of parent who not satisfied with the warning service decreased by 7.7percent compared to baseline, the decreases was 67.5%.Conclusion and RecommendationsThe cold early warning of meteorological service can reduce child catch a cold, we evaluate its influencing degree from the next two sides:the average monthly colds and absence days from kindergarten. Through the comparison of intervention group and control group, we found that the former’s rate was lower than control group after correcting the confounding factors including gender,age,average monthly colds of baseline, annual household income,main supporter, parents occupation and culture level and family structure. It indicated that the implementation of the intervention, namely the meteorological early warning information and dynamic guidance content has significant effect of colds in children and their absence days from school.The cold early warning of meteorological service has significant effect on promoting the quality of life of children. The physiological function, emotional function, social function and the performance of the school of intervention group were better than those not received service information. children’s overall quality of life also conformed to the above situation. Other factors like age, household income main supporter, parents occupation and culture level also had an impact on children’s quality of life.Targeted cold warning service was easier to get parents recognition than the public meteorological forecast, both in information availability and service guide content compliance. Through targeted service provision, parents can improve their satisfaction degree. Remarkable achievements were obtained in according to the guide content to take corresponding countermeasures and reducing daily medical expenses.
Keywords/Search Tags:Meteorological early warning service, Children cold, Children’s quality of life, Service satisfaction, Effect evaluation
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