Women attitudes determination among who had not-used antenatal care services during pregnancy in Central India: A logistic regression analysis
Year: 2021
Type: article
Study design: Observational Study
Abstract: Background: Women attitudes are important components for the utilizing health care services especially during pregnancy. This research article aimed to classify and determine the multiple attitudes as reasons among women who had not taken ANC services during pregnancy.Methodology: The study were conducted with cross sectional design among the Baiga women in Dindori district of Madhya Pradesh during 2009 to 2010. For the estimation of attitudes investigators were surveyed by the method of conducted interview with the women who had not used ANC services through structured and pretested questionnaire. On reported attitudes by women as believe and feeling regarding pregnancy care recorded from previous five years from the survey.
Analysis: The data were analyze to know the level and determinants of women attitudes with background characteristics of 107 who have not taken any antenatal care during pregnancy.
Results: Women attitudes for not using the ANC facility varies from 81.3% lack of knowledge to 20.6% poor quality services followed by Not necessary (72.9%), No time to go (61.7%), Better care at home (59.8%), No transport facility (55.1%), Cost too much (40.2%) & Family did not allow (29.9%). The socio-demographic factors influenced to the risk of not taking ANC services during pregnancy. The level of women knowledge on antenatal care issues were observed very deprived. The women characteristics as elder age (>29 years), age at marriage below 19 years and illiteracy are significantly associated as barrier for not utilizing the available MCH services. Attitudes for pregnancy care expose by logistic regression analysis revealed as family did not allow with older age (OR=0.257) and poor quality service (OR=6.444) & cost too much (OR=4.056) with age at marriage < 19 years were found significantly association (p
Authors: Dinesh Kumar, Ajay Goel, Taranveer Singh
Language: English
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W3135083002