Analysis of Environmental and Social Significant Factors Affecting the Flow of Maternal Patients in Jilin, China
BackgroundWith the implementation of China's Two-child policy, the number of pregnant women has been increasing year by year in recent years. However, the pregnancy success rate of pregnant women is declining year by year, and it is almost necessary for all the elderly mothers to do pregnancy p...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2022-05-01
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Series: | Frontiers in Public Health |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2022.780452/full |
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author | Dongmei Mu Dongmei Mu Hua Li Hua Li Dongxuan Wang Xinyu Yang Shutong Wang |
author_facet | Dongmei Mu Dongmei Mu Hua Li Hua Li Dongxuan Wang Xinyu Yang Shutong Wang |
author_sort | Dongmei Mu |
collection | DOAJ |
description | BackgroundWith the implementation of China's Two-child policy, the number of pregnant women has been increasing year by year in recent years. However, the pregnancy success rate of pregnant women is declining year by year, and it is almost necessary for all the elderly mothers to do pregnancy protection.ObjectiveThe purpose of this study is to analyze the social and environmental factors that affect the patient flow of pregnant women in Jilin area of China, and further utilize the favorable factors to avoid the negative effects of adverse factors, so as to improve the pregnancy success rate and eugenics level.MethodsMonthly patient flow data from 2018 to 2020 were collected in the obstetrics department of the First Hospital of Jilin University. The decompose function in R software was used to decompose the time series data, and the seasonal and trend change rules of the data were obtained; the significant factors influencing patient flow were analyzed by using Poisson regression model, and the prediction model was verified by using assumptions, such as the normal distribution of residuals and the constant difference of residuals.ResultsTemperature in environmental factors (P = 4.00E−08) had a significant impact on the flow of obstetric patient. The flow of patients was also significantly affected by the busy farming (P = 0.0013), entrance (P = 3.51E−10) and festivals (P = 0.00299). The patient flow was accompanied by random flow, but also showed trend change and seasonal change. The trend of change has been increasing year by year. The seasonal variation rule is that the flow of patients presents a trough in February every year, and reaches the peak in July.ConclusionIn this article, Poisson regression model is used to obtain the social and environmental significant factors of obstetric patient flow. According to the significant factors, we should give full play to significant factors to further improve the level of eugenics. By using time series decomposition model, we can obtain the rising trend and seasonal trend of patient flow, and then provide the management with decision support, which is conducive to providing pregnant women with higher level of medical services and more comfortable medical experience. |
first_indexed | 2024-04-13T22:46:59Z |
format | Article |
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institution | Directory Open Access Journal |
issn | 2296-2565 |
language | English |
last_indexed | 2024-04-13T22:46:59Z |
publishDate | 2022-05-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Public Health |
spelling | doaj.art-f24c6d6bed1147639685ab327d02c1482022-12-22T02:26:22ZengFrontiers Media S.A.Frontiers in Public Health2296-25652022-05-011010.3389/fpubh.2022.780452780452Analysis of Environmental and Social Significant Factors Affecting the Flow of Maternal Patients in Jilin, ChinaDongmei Mu0Dongmei Mu1Hua Li2Hua Li3Dongxuan Wang4Xinyu Yang5Shutong Wang6Department of Clinical Research, The First Hospital of Jilin University, Changchun, ChinaSchool of Public Health, Jilin University, Changchun, ChinaDepartment of Abdominal Ultrasound, The First Hospital of Jilin University, Changchun, ChinaSchool of Public Health, Jilin University, Changchun, ChinaDepartment of Abdominal Ultrasound, The First Hospital of Jilin University, Changchun, ChinaSchool of Public Health, Jilin University, Changchun, ChinaSchool of Public Health, Jilin University, Changchun, ChinaBackgroundWith the implementation of China's Two-child policy, the number of pregnant women has been increasing year by year in recent years. However, the pregnancy success rate of pregnant women is declining year by year, and it is almost necessary for all the elderly mothers to do pregnancy protection.ObjectiveThe purpose of this study is to analyze the social and environmental factors that affect the patient flow of pregnant women in Jilin area of China, and further utilize the favorable factors to avoid the negative effects of adverse factors, so as to improve the pregnancy success rate and eugenics level.MethodsMonthly patient flow data from 2018 to 2020 were collected in the obstetrics department of the First Hospital of Jilin University. The decompose function in R software was used to decompose the time series data, and the seasonal and trend change rules of the data were obtained; the significant factors influencing patient flow were analyzed by using Poisson regression model, and the prediction model was verified by using assumptions, such as the normal distribution of residuals and the constant difference of residuals.ResultsTemperature in environmental factors (P = 4.00E−08) had a significant impact on the flow of obstetric patient. The flow of patients was also significantly affected by the busy farming (P = 0.0013), entrance (P = 3.51E−10) and festivals (P = 0.00299). The patient flow was accompanied by random flow, but also showed trend change and seasonal change. The trend of change has been increasing year by year. The seasonal variation rule is that the flow of patients presents a trough in February every year, and reaches the peak in July.ConclusionIn this article, Poisson regression model is used to obtain the social and environmental significant factors of obstetric patient flow. According to the significant factors, we should give full play to significant factors to further improve the level of eugenics. By using time series decomposition model, we can obtain the rising trend and seasonal trend of patient flow, and then provide the management with decision support, which is conducive to providing pregnant women with higher level of medical services and more comfortable medical experience.https://www.frontiersin.org/articles/10.3389/fpubh.2022.780452/fullmaternal patientsenvironmental factorssocial factorssignificant factorstemperatureentrance |
spellingShingle | Dongmei Mu Dongmei Mu Hua Li Hua Li Dongxuan Wang Xinyu Yang Shutong Wang Analysis of Environmental and Social Significant Factors Affecting the Flow of Maternal Patients in Jilin, China Frontiers in Public Health maternal patients environmental factors social factors significant factors temperature entrance |
title | Analysis of Environmental and Social Significant Factors Affecting the Flow of Maternal Patients in Jilin, China |
title_full | Analysis of Environmental and Social Significant Factors Affecting the Flow of Maternal Patients in Jilin, China |
title_fullStr | Analysis of Environmental and Social Significant Factors Affecting the Flow of Maternal Patients in Jilin, China |
title_full_unstemmed | Analysis of Environmental and Social Significant Factors Affecting the Flow of Maternal Patients in Jilin, China |
title_short | Analysis of Environmental and Social Significant Factors Affecting the Flow of Maternal Patients in Jilin, China |
title_sort | analysis of environmental and social significant factors affecting the flow of maternal patients in jilin china |
topic | maternal patients environmental factors social factors significant factors temperature entrance |
url | https://www.frontiersin.org/articles/10.3389/fpubh.2022.780452/full |
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