Factors affecting decision making of low-income young women with unplanned pregnancies in Bangkok, Thailand

• Published in: Southeast Asian journal of tropical medicine and public health Vol. 36; no. 3; pp. 775 - 782
• Main Authors: Naravage, Wanapa, Vichit-Vadakan, Nuntavarn, Sakulbumrungsil, Rungpetch C, Van der Putten, Marc
• Format: Journal Article
• Language: English
• Published: Thailand Central Coordinating Board, SEAMEO-TROPMED Project 01.05.2005
• Subjects: Abortion, Induced; Adolescent; Adoption; Adult; Attitude to Health; Decision Making; Discriminant Analysis; Female; Humans; Interviews as Topic; Parenting; Poverty - psychology; Pregnancy; Pregnancy, Unplanned - psychology; Risk Factors; Socioeconomic Factors; Thailand; Women's Health; Thailand
• ISSN: 0125-1562

Unplanned pregnancy is one of the most difficult life experiences for young women. Women are often confused and seek help and support. When the problem occurs, a woman has three choices: parenting the baby, planning for adoption, or terminating the pregnancy. Choosing one of these three options is often difficult. This study aimed to identify the factors (variables) influencing women's decision making when choosing the options available to them. The study was conducted in five shelters and low-income communities in the Bangkok area. Data were collected for five months, November 2003 to March 2004. Young women, age 13-24, who experienced an unplanned pregnancy at least once, or currently experiencing an unplanned pregnancy, were recruited into the study. One hundred and twenty volunteer cases were recruited. Discriminant analysis was used to determine the factors that affecting the choices of young women with unplanned pregnancies. There were 6 potential influencing variables, in three broad categories of factors that influenced their choices. In this study, the influencing factors from the personal history variables were, age of the most recent unplanned pregnancy. The individual psychosocial variables were: attitude towards unplanned pregnancy, attitude towards contraception, and making a decision without consultation. The relationship variables were: relationship with partner, and consulting partner when having a problem. The results from discriminant analysis yielded 68.3% predictive accuracy. This result was satisfactory compared with a 33% chance of accuracy (classified as chance alone would yield a 33% accuracy). Knowing the influencing factors for the choices of young women with unplanned pregnancies allows us to understand the women's decisions and their utilization of services with some degree of confidence. The program managers or implementers should do as much as possible to support the decision making process in these young women in order to provide better information and services to reduce the impact, both physical and mental, of the selected choice.