PDF(Pubmed)
Abstract：
OBJECTIVE: Assessing the socio-demographic factors on termination of pregnancy in Ghana.
METHODS: Cross-sectional study, using data source from the Demographic Health Survey (DHS).
METHODS: Data pooled from the most recent DHS conducted in Ghana, with variables of interest with rural and urban population coverage. A systematic search of the literature was performed using PubMed, Google Scholar and Elsevier PubMed for the secondary data. Descriptive and logistic regression analysis was performed using Python Pandas\' software to estimate the independent effects of the socio-demographic factors on termination of pregnancy in Ghana.
RESULTS: Reported using odds and adjusted OR AOR at 95% confidence level and statistical significance at a p-value of (p > 0.05). Age, place of residence, occupation, currently pregnant, woman\'s individual sample weight, completeness of current pregnancy, living children + current pregnancy, ethnicity and number of living children significantly predicted the outcome variable.
UNASSIGNED: Nurses have an important role to play in providing support, education and counselling to people, and must be equipped with the knowledge and skills (including non-judgmental and compassionate care) necessary to provide care that is sensitive to the diverse needs of people from different socio-demographic backgrounds.
METHODS: Cross-sectional study, using data source from the Demographic Health Survey (DHS).
METHODS: Data pooled from the most recent DHS conducted in Ghana, with variables of interest with rural and urban population coverage. A systematic search of the literature was performed using PubMed, Google Scholar and Elsevier PubMed for the secondary data. Descriptive and logistic regression analysis was performed using Python Pandas\' software to estimate the independent effects of the socio-demographic factors on termination of pregnancy in Ghana.
RESULTS: Reported using odds and adjusted OR AOR at 95% confidence level and statistical significance at a p-value of (p > 0.05). Age, place of residence, occupation, currently pregnant, woman\'s individual sample weight, completeness of current pregnancy, living children + current pregnancy, ethnicity and number of living children significantly predicted the outcome variable.
UNASSIGNED: Nurses have an important role to play in providing support, education and counselling to people, and must be equipped with the knowledge and skills (including non-judgmental and compassionate care) necessary to provide care that is sensitive to the diverse needs of people from different socio-demographic backgrounds.
摘要：
目的：评估加纳终止妊娠的社会人口统计学因素。
方法：横断面研究，使用人口健康调查(DHS)的数据源。
方法：数据来自最近在加纳进行的国土安全部，与农村和城市人口覆盖率相关的变量。使用PubMed对文献进行了系统的搜索，GoogleScholar和ElsevierPubMed获取次要数据。使用PythonPandas软件进行描述性和逻辑回归分析，以估计社会人口统计学因素对加纳终止妊娠的独立影响。
结果：在95％置信水平下使用赔率和调整后的ORAOR进行报告，并且在p值为（p>0.05）时具有统计学意义。年龄,居住地,职业,目前怀孕,女人的个体样本体重，当前怀孕的完整性，活着的孩子+当前的怀孕，种族和生活儿童数量显着预测了结果变量。
■护士在提供支持方面发挥着重要作用，对人们的教育和咨询，并且必须配备必要的知识和技能（包括非判断性和同情心的护理），以提供对来自不同社会人口背景的人们的不同需求敏感的护理。
方法：横断面研究，使用人口健康调查(DHS)的数据源。
方法：数据来自最近在加纳进行的国土安全部，与农村和城市人口覆盖率相关的变量。使用PubMed对文献进行了系统的搜索，GoogleScholar和ElsevierPubMed获取次要数据。使用PythonPandas软件进行描述性和逻辑回归分析，以估计社会人口统计学因素对加纳终止妊娠的独立影响。
结果：在95％置信水平下使用赔率和调整后的ORAOR进行报告，并且在p值为（p>0.05）时具有统计学意义。年龄,居住地,职业,目前怀孕,女人的个体样本体重，当前怀孕的完整性，活着的孩子+当前的怀孕，种族和生活儿童数量显着预测了结果变量。
■护士在提供支持方面发挥着重要作用，对人们的教育和咨询，并且必须配备必要的知识和技能（包括非判断性和同情心的护理），以提供对来自不同社会人口背景的人们的不同需求敏感的护理。
