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- All Subjects: public health
- Creators: Hruschka, Daniel
- Creators: Wutich, Amber
Methods: Social and cultural barriers influencing endometriosis reporting and management in LMICs were examined through a systematic literature review. Online databases yielded a list of relevant studies. Then, use of MAXQDA, a qualitative data analysis software program, helped to extract and code specific text segments from each study that pertain to the research topic. In-context analysis of coded segments revealed the most common trends, which were organized into broader themes.
Results: Findings demonstrated that social and cultural ideas regarding vaginal bleeding influenced the lack of disease reporting and management of endometriosis in LMICs. Socioeconomic challenges include a lack of hygiene and sanitation measures and education regarding menstruation and vaginal bleeding. Also, many diseases associated with the abnormal vaginal bleeding are often disregarded and not prioritized in clinical settings. It also became clear that cultural taboos regarding menstruation and vaginal bleeding often create feelings of anxiety and fear in women and girls throughout communities in LMICs. However, further research is needed to examine the ways in which women in those communities treat symptoms of irregular vaginal bleeding related to endometriosis.
Conclusions: Socioeconomic, gender, and sex-related factors may influence the ways in which endometriosis is reported and treated and may affect the way the related diseases are understood. Evidence-based policies using a culturally competent understanding of abnormal vaginal bleeding in LMICs may help positively affect the reproductive health of women and girls in such areas.
Significant health inequalities exist between different castes and ethnic communities in India, and identifying the roots of these inequalities is of interest to public health research and policy. Research on caste-based health inequalities in India has historically focused on general, government-defined categories, such as “Scheduled Castes,” “Scheduled Tribes,” and “Other Backward Classes.” This method obscures the diversity of experiences, indicators of well-being, and health outcomes between castes, tribes, and other communities in the “scheduled” category. This study analyzes data on 699,686 women from 4,260 castes, tribes and communities in the 2015-2016 Demographic and Health Survey of India to: (1) examine the diversity within and overlap between general, government-defined community categories in both wealth, infant mortality, and education, and (2) analyze how infant mortality is related to community category membership and socioeconomic status (measured using highest level of education and household wealth). While there are significant differences between general, government-defined community categories (e.g., scheduled caste, backward class) in both wealth and infant mortality, the vast majority of variation between communities occurs within these categories. Moreover, when other socioeconomic factors like wealth and education are taken into account, the difference between general, government-defined categories reduces or disappears. These findings suggest that focusing on measures of education and wealth at the household level, rather than general caste categories, may more accurately target those individuals and households most at risk for poor health outcomes. Further research is needed to explain the mechanisms by which discrimination affects health in these populations, and to identify sources of resilience, which may inform more effective policies.
Methods: Parents of children six months to five years old (N = 975) were randomly exposed to one of four high-threat/high-efficacy messages (narrative, statistical, combined, control) and completed a follow-up survey. Differences between message conditions were assessed with one-way ANOVAs, and binary logistic regressions were used to show how constructs predicted intentions.
Results: There were no significant differences in the ANOVA results at p = .05 for EPPM variables or risk EPPM variables. There was a significant difference between message conditions for perceived manipulation (p = 0.026), authority, (p = 0.024), character (p = 0.037), attention (p < .000), and emotion (p < .000). The EPPM model and perceptions of message model (positively), and the risk EPPM model and fear control model (negatively), predicted intentions to vaccinate. Significant predictor variables in each model at p < .05 were severity (aOR = 1.83), response efficacy (aOR = 4.33), risk susceptibility (aOR = 0.53), risk fear (aOR = 0.74), issue derogation (aOR = 0.63), perceived manipulation (aOR = 0.64), character (aOR = 2.00), and personal relevance (aOR = 1.88). In a multivariate model of the significant predictors, only response efficacy significantly predicted intentions to vaccinate (aOR = 3.43). Compared to the control, none of the experimental messages significantly predicted intentions to vaccinate. The narrative and combined conditions significantly predicted intentions to search online (aOR = 2.37), and the combined condition significantly predicted intentions to talk to family/friends (aOR = 2.66).
Conclusions: The EPPM may not be effective in context of a two-way threat. Additional constructs that may be useful in the EPPM model are perceptions of the message and fear control variables. One-shot flu vaccine messages will be unlikely to directly influence vaccination rates; however they may increase information-seeking behavior. The impact of seeking more information on vaccination uptake requires further research. Flu vaccine messages should be presented in combined form. Future studies should focus on strategies to increase perceptions of the effectiveness of the flu vaccine.
Sixty-three study participants (43 women and 20 men) were interviewed about their experiences. Interviewers elicited barriers to care, facilitators of care, and questions about the attitudes and behaviors of family and community members were in structured interviews.
The study found that breast problems and their treatment put significant resource and emotional strains on the family. Furthermore, over a third of women in this study reported abuse of some kind, with emotional abuse, neglect, and abandonment being the most frequently reported.
The study reinforced barriers to care identified in the literature for South Asian populations, but only a quarter of participants reported stigma of any kind. Lack of knowledge about breast cancer and inability to pay for care were the most frequently reported barriers, followed by access to care and fear of treatment. Facilitators of care among women who received a biopsy point to the importance of support by the husband and husband’s family, as well as the ability to identify economic support for and knowledge about care.
This study contributes to the understanding of two overarching themes: structural violence and the value of women, as well as how these themes influence poor outcomes for women with breast cancer in rural Bangladesh. Suggestions for future studies and short and long-term interventions to address study findings are offered.