Pregnant Adolescents in Vietnam : Social context and health care needs

Background: The number of childbearing adolescents in Vietnam is relatively low but they are more prone to experience adverse outcome than adult women. Reports of increasing rates of abortion and prevalence of STIs including HIV among youth indicate a need to improve services and counselling for these groups. Midwives are key persons in the promotion of young people’s sexual and reproductive health in Vietnam. Aim: The overall aim of this thesis is to describe the prevalence and outcome of adolescent pregnancies in Vietnam (I), to explore the social context and health care seeking behavior of pregnant adolescents (II), as well as to explore the perspectives of health care providers and midwifery students regarding adolescent sexuality and reproductive health service needs (III, IV). Methods: The studies were conducted from 2002 to 2005, combining qualitative and quantitative research methods. A population based prospective survey was used to estimate rates and outcomes of adolescent pregnancies (I). Pregnant and newly delivered adolescents’ experiences of childbearing and their encounters with health care providers were studied using qualitative interviews (II). Health care providers’ perspective on adolescent sexual and reproductive health (ASRH) and views on how to improve the quality of abortion care was explored in focus group discussions (FGD). The values and attitudes of midwifery students about ASRH were investigated using questionnaires and interviews (IV). Descriptive statistics was used to analyse quantitative data (I, IV) and content analysis were applied for qualitative data (II, III, and IV). Findings: Adolescent birth rate was similar to previously reported in Vietnam but lower when compared to other Asian countries. The incidence of stillborn among adolescents was higher than for women in higher reproductive ages. The proportion of preterm deliveries was 20 % of all births, higher than previous findings from Vietnam. About 2 % of the deliveries were home deliveries, more common among women with low education, belonging to ethnic minority and/or living in mountainous areas (I). Ambivalence facing motherhood, pride and happiness but also worries and lack of self-confidence emerged as themes from the interviews; and experience of ‘being in the hands of others’ in a positive, caring sense but also in a sense of subordination in relation to husband, family and health care providers (II). Health care providers at abortion clinics and midwifery students generally disapproved of pre-marital sex, but had a pragmatic view on the need for contraceptive services and counselling to reduce the burden of unwanted pregnancies and abortions for young women. Providers and midwifery students expressed a need for training on ASRH issues (III, IV). Conclusion: Cultural norms and gender inequity make pregnant adolescent women in Vietnam vulnerable to sexual and reproductive health risks. Health care providers experience ethical dilemmas while counselling unmarried adolescents who come for abortion and this has a negative impact on the quality of care. Integrated ASRH in education and training programmes for health care providers, including midwives, as well as continued in-service training on these issues are suggested to improve reproductive health care services in Vietnam.

Big Data Analysis in Social Networks : Extracting Food Preferences of Vegans from Twitter

Market research is often conducted through conventional methods such as surveys, focus groups and interviews. But the drawbacks of these methods are that they can be costly and timeconsuming. This study develops a new method, based on a combination of standard techniques like sentiment analysis and normalisation, to conduct market research in a manner that is free and quick. The method can be used in many application-areas, but this study focuses mainly on the veganism market to identify vegan food preferences in the form of a profile. Several food words are identified, along with their distribution between positive and negative sentiments in the profile. Surprisingly, non-vegan foods such as cheese, cake, milk, pizza and chicken dominate the profile, indicating that there is a significant market for vegan-suitable alternatives for such foods. Meanwhile, vegan-suitable foods such as coconut, potato, blueberries, kale and tofu also make strong appearances in the profile. Validation is performed by using the method on Volkswagen vehicle data to identify positive and negative sentiment across five car models. Some results were found to be consistent with sales figures and expert reviews, while others were inconsistent. The reliability of the method is therefore questionable, so the results should be used with caution.