The Development of a Prevention Model for Low Birth Weight Infants among Pakakayor Pregnancy Women, Remote Area along the Thai-Myanmar border
Keywords:
prevention, low birth weight, pregnant womenAbstract
This action research aimed to develop a model for preventing low birth weight infants in Mae Ramat district, Tak province, from September 1, 2023 to August 30, 2024. The study was divided into four phases: 1) To study of factors associated with low birthweight infants in 176 Pakakayor women, this data was analyzed by using chi-square tests, and develop a model for preventing low birth weight infants with brainstorming by 10 experts; 2) The model was Implemented for six months; 3) Observation; and 4) Reflection among 30 pregnant women. The results showed that the factors significantly related to low birthweight infants at the .05 level were family income, family members smoking, pre-existing medical condition, first prenatal care, full prenatal care, hemoglobin levels, gestational age, knowledge, beliefs, and health behaviors. The development of a model for the prevention of low birthweight infants is including assessment consists of 12 risk assessments for pregnant women, divided into normal groups, low risk groups, and high-risk groups. The high-risk group will receive care in the clinic to prevent low birth weight infants. After using the model, pregnant women had high levels of knowledge, belief and health care behaviors, gained more than 1.5-2 kilograms per month, and the number of newborns weighing more than 2,500 grams increased from before, this model should be continuously used in public health service centers in remote areas.
The findings indicated that the variables that exhibited a significant correlation with low birthweight infants at the .05 significance level included familial income, the prevalence of smoking among family members, the presence of pre-existing medical conditions, the timing of the first prenatal care visit, the adequacy of prenatal care received, hemoglobin concentration, gestational age, as well as knowledge, beliefs, and health-related behaviors.
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