BackgroundThe high rate of maternal mortality reported in The Gambia is influenced by many factors, such as difficulties in accessing quality healthcare and facilities. In addition, socio-cultural practices in rural areas may limit the resources available to pregnant women, resulting in adverse health consequences. The aim of this study is to depict the gender dynamics in a rural Gambian context by exploring the social and cultural factors affecting maternal health.Methods and FindingsFive focus group discussions that included 50 participants (aged 15–30 years, with at least one child) and six in-depth interviews with traditional birth attendants were conducted to explore perceptions of maternal health issues among rural women. The discussion was facilitated by guides focusing on issues such as how the women perceived their own physical health during pregnancy, difficulties in keeping themselves healthy, and health-related problems during pregnancy and delivery. The data resulting from the discussion was transcribed verbatim and investigated using a qualitative thematic analysis. In general, rural Gambian women did not enjoy privileges in their households when they were pregnant. The duties expected of them required pregnant women to endure heavy workloads, with limited opportunities for sick leave and almost nonexistent resources to access prenatal care. The division of labor between men and women in the household was such that women often engaged in non-remunerable field work with few economic resources, and their household duties during pregnancy were not alleviated by either their husbands or the other members of polygamous households. At the time of delivery, the decision to receive care by trained personnel was often beyond the women’s control, resulting in birth-related complications.ConclusionsOur findings suggest that despite women’s multiple roles in the household, their positions are quite unfavorable. The high maternal morbidity and mortality rate in The Gambia is related to practices associated with gender inequality.
We examined the network profiles and social supports of 151 women on methadone, exploring to whom women turn for different types of support and how flow of support is associated with the network member's personal and relational characteristics and network structure. Women reported a total of 795 network members, with an average network size of 5.9 individuals. The networks were long-term, ethnically homogeneous, and of high density. Support within personal networks is contingent on the types of support required, the relational characteristics, and the network structures. Findings from this study may be useful in helping practitioners and program developers to better comprehend the social milieu of drug users, particularly women enrolled in methadone treatment programs.
BackgroundGoogle Trends has demonstrated the capability to both monitor and predict epidemic outbreaks. The connection between Internet searches for dementia information and dementia incidence and dementia-related outpatient visits remains unknown.ObjectiveThis study aimed to determine whether Google Trends could provide insight into trends in dementia incidence and related outpatient visits in Taiwan. We investigated and validated the local search terms that would be the best predictors of new dementia cases and outpatient visits. We further evaluated the nowcasting (ie, forecasting the present) and forecasting effects of Google Trends search trends for new dementia cases and outpatient visits. The long-term goal is to develop a surveillance system to help early detection and interventions for dementia in Taiwan.MethodsThis study collected (1) dementia data from Taiwan’s National Health Insurance Research Database and (2) local Internet search data from Google Trends, both from January 2009 to December 2011. We investigated and validated search terms that would be the best predictors of new dementia cases and outpatient visits. We then evaluated both the nowcasting and the forecasting effects of Google Trends search trends through cross-correlation analysis of the dementia incidence and outpatient visit data with the Google Trends data.ResultsThe search term “dementia + Alzheimer’s disease” demonstrated a 3-month lead effect for new dementia cases and a 6-month lead effect for outpatient visits (r=.503, P=.002; r=.431, P=.009, respectively). When gender was included in the analysis, the search term “dementia” showed 6-month predictive power for new female dementia cases (r=.520, P=.001), but only a nowcasting effect for male cases (r=.430, P=.009). The search term “neurology” demonstrated a 3-month leading effect for new dementia cases (r=.433, P=.008), for new male dementia cases (r=.434, P=.008), and for outpatient visits (r=.613, P<.001).ConclusionsGoogle Trends established a plausible relationship between search terms and new dementia cases and dementia-related outpatient visits in Taiwan. This data may allow the health care system in Taiwan to prepare for upcoming outpatient and dementia screening visits. In addition, the validated search term results can be used to provide caregivers with caregiving-related health, skills, and social welfare information by embedding dementia-related search keywords in relevant online articles.
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