An Association between the Mosquito Nets and the Wealth Status: Public Health Promotion Planning and Intervention

D. Acharya, R. Adhikari, Gary L. Kreps, Bishnu Prasad Wagle, Sushil Sharma
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Abstract

The Government of Nepal (GoN) has approved the Malaria Strategic Plan with the aim of 'Malaria free Nepal by 2025'. This study aimed to determine the factors associated with the mosquito bed nets and its determinants of the ownership with reference to the households' wealth status in Nepal. The study used the secondary data from the Nepal Demographic and Health Survey 2016. The households' characteristics were considered independent variables and ownership of the mosquito nets as the dependent variable. We used IBM SPSS Statistics 22 to analyse the data. The data showed that three fourths of the total households had such nets, where 80 percent were urban households as compared to 68 percent rural households, 95 percent from the Terai region of Nepal as compared to 34 percent from the mountain region, 91 percent were of middle income, as compared to 39 percent the poorest wealth status of households, 84 percent of households that had TV as compared to 66 percent of the households with no TV used the nets. The poorest households were 52 percent less likely to own the nets as compared to the richest households (a OR = 0.48, 95% CI: 0.39-0.60, p<0.001). The wealth status of households, residence setting in terms of urban or rural area, and eco-belt migration history of the households, and households having radio and TV were significant predictors for the nets ownership. Special attention was paid by the government and policymakers to the poorest families, rural households, households in the mountain region of Nepal, and households having no radio and TV to meet the national target of the government plan with the use of public health promotion planning and intervention.
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蚊帐与财富状况的关系:公共健康促进计划与干预
尼泊尔政府批准了疟疾战略计划,其目标是“到2025年尼泊尔消除疟疾”。本研究旨在确定与蚊帐有关的因素,并参照尼泊尔家庭的财富状况确定蚊帐所有权的决定因素。该研究使用了2016年尼泊尔人口与健康调查的二手数据。以家庭特征为自变量,蚊帐拥有量为因变量。我们使用IBM SPSS Statistics 22对数据进行分析。数据显示总数的四分之三的家庭有这样的网,那里80%的城市家庭,68%的农村家庭,95%的Terai地区尼泊尔山区比34%,中等收入的91%,而39%最穷的家庭财富地位,84%的家庭有电视相比,66%的家庭没有电视使用蚊帐。与最富有的家庭相比,最贫困家庭拥有蚊帐的可能性要低52% (OR = 0.48, 95% CI: 0.39-0.60, p<0.001)。家庭财富状况、城市或农村居住环境、家庭生态带迁移史、家庭拥有广播电视是网络拥有率的显著预测因子。政府和决策者特别关注最贫困家庭、农村家庭、尼泊尔山区家庭以及没有收音机和电视的家庭,以便通过公共卫生促进规划和干预措施实现政府计划的国家目标。
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