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  本文選題：孕產(chǎn)婦死亡率 + 通徑分析�。� 參考：《蘭州大學(xué)》2012年碩士論文

【摘要】：目的 了解2001-2010年平?jīng)鍪性挟a(chǎn)婦死亡率現(xiàn)況及其變化趨勢,分析孕產(chǎn)婦死亡的死因構(gòu)成以及各種社會因素對孕產(chǎn)婦死亡率的影響,并預(yù)測未來十年平?jīng)鍪性挟a(chǎn)婦死亡率變化趨勢,為有效地預(yù)防和控制平?jīng)鍪性挟a(chǎn)婦死亡,降低孕產(chǎn)婦死亡率提供科學(xué)依據(jù)。 方法 根據(jù)平?jīng)鍪?001-2010年的孕產(chǎn)婦死亡率及各影響因素的指標(biāo)數(shù)據(jù),采用描述統(tǒng)計的方法對平?jīng)鍪性挟a(chǎn)婦死亡率的現(xiàn)況、變化趨勢、死因順位及影響平?jīng)鍪性挟a(chǎn)婦死亡率的各個社會因素的基本情況進行分析;通過對其單因素相關(guān)分析和通徑分析法找出影響平?jīng)鍪性挟a(chǎn)婦死亡率的直接影響因素和間接影響因素；并采用灰色預(yù)測模型對平?jīng)鍪?011-2020年孕產(chǎn)婦死亡率狀況和變化趨勢做出預(yù)測。 結(jié)果 2010年平?jīng)鍪兴犾`臺縣和莊浪縣孕產(chǎn)婦死亡率低于全國和甘肅省平均水平；2001-2010年平?jīng)鍪懈鲄^(qū)縣孕產(chǎn)婦死亡率在波動中整體呈下降趨勢；平?jīng)鍪性挟a(chǎn)婦死因構(gòu)成無大的變化,產(chǎn)科出血為第一順位,羊水栓塞所占比例上升；影響平?jīng)鍪性挟a(chǎn)婦死亡率的直接原因為住院分娩率、通電話的村數(shù)、農(nóng)村女童入學(xué)率和新農(nóng)合參合率；GDP和地方財政收入等通過不同途徑間接地影響著平?jīng)鍪性挟a(chǎn)婦死亡率；2020年涇川縣和華亭縣孕產(chǎn)婦死亡率將會低于全國和甘肅省平均水平,其他各縣將會遠高于全國和甘肅省平均水平；至2011-2020年間涇川縣、華亭縣、崇信縣孕產(chǎn)婦死亡率呈下降趨勢,其他區(qū)縣略有上升。 結(jié)論 平?jīng)鍪懈鲄^(qū)縣孕產(chǎn)婦死亡率雖整體呈下降趨勢,但下降速度緩慢。尤其崇信縣和靜寧縣問題較為突出；產(chǎn)科出血依然是平?jīng)鍪懈鲄^(qū)縣的第一死因順位,羊水栓塞所占孕產(chǎn)婦死亡原因構(gòu)成比呈上升趨勢；影響孕產(chǎn)婦死亡率的原因較多,其中以住院分娩率為主要直接影響因素,經(jīng)濟狀況不同程度直接或間接地影響著平?jīng)鍪懈鲄^(qū)縣孕產(chǎn)婦死亡率。
[Abstract]:Objective to understand the current situation and trend of maternal mortality in Pingliang City from 2001 to 2010, and to analyze the causes of maternal mortality and the influence of various social factors on maternal mortality. The change trend of maternal mortality in Pingliang city in the next ten years is forecasted to provide scientific basis for effectively preventing and controlling maternal mortality and reducing maternal mortality in Pingliang city. Methods according to the index data of maternal mortality and its influencing factors in Pingliang City from 2001 to 2010, the present situation and trend of maternal mortality in Pingliang City were analyzed by descriptive statistical method. The causes of death and the basic social factors affecting the maternal mortality rate in Pingliang City were analyzed. Through the single factor correlation analysis and path analysis to find out the direct and indirect influencing factors of maternal mortality in Pingliang city; The grey prediction model was used to predict the maternal mortality rate and its changing trend in Pingliang City from 2011 to 2020. Results in 2010, the maternal mortality rate of Lingtai County and Zhuanglang County under Pingliang City was lower than the average level of the whole country and Gansu Province from 2001 to 2010. There was no significant change in the composition of maternal mortality in Pingliang city, obstetric hemorrhage was the first rank, amniotic fluid embolism accounted for an increasing proportion, and the direct cause of maternal mortality in Pingliang city was the rate of hospital delivery and the number of villages through telephone. The rate of enrolment of girls in rural areas and the rate of participation in rural areas, such as GDP and local revenue, indirectly affect the maternal mortality rate in Pingliang by different means; in 2020, the maternal mortality rate in Jingchuan County and Huating County will be lower than the national average and the average level in Gansu Province. The other counties will be far above the national and Gansu average; by 2011-2020, the maternal mortality rate in Jingchuan, Huating and Chongxin counties will be on a downward trend, while in other districts the maternal mortality rate will increase slightly. Conclusion the mortality rate of pregnant and lying-in women in Pingliang city is decreasing, but the decreasing speed is slow. Especially in Chongxin County and Jingning County, the problem of obstetrical hemorrhage is still the first cause of death in Pingliang City, the proportion of maternal mortality caused by amniotic fluid embolism is on the rise, and the causes of maternal mortality are many. Among them, the rate of hospital delivery is the main direct factor, and the economic situation directly or indirectly affects the maternal mortality rate in Pingliang district and county.
【學(xué)位授予單位】：蘭州大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2012
【分類號】：R173

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