Dataset Information

Prenatal Maternal Anxiety in South Asia: A Rapid Best-Fit Framework Synthesis.

ABSTRACT: Background: Most research efforts toward prenatal maternal anxiety has been situated in high-income countries. In contrast, research from low- and middle-income countries has focused on maternal depression and prenatal maternal anxiety in low- and middle-income countries remains poorly understood. Objectives: To examine whether dimensions and attributes of current maternal anxiety assessment tools appropriately capture South Asia women's experiences of perinatal distress during pregnancy. Design: We conducted a rapid review with best fit framework synthesis, as we wished to map study findings to an a priori framework of dimensions measured by prenatal maternal anxiety tools. Data Sources: We searched MEDLINE, PsycINFO, and CINAHL and gray literature in November 2016. Studies were included if published in English, used any study design, and focused on women's experiences of prenatal/antenatal anxiety in South Asia. Review Methods: Study quality was assessed using the Effective Public Health Practice Project Quality Assessment Tool and Critical Appraisal Skills Programme Qualitative Checklist. Study findings were extracted to an a priori framework derived from pregnancy-related anxiety tools. Results: From 4,177 citations, 9 studies with 19,251 women were included. Study findings mapped to the a priori framework apart from body image. A new theme, gender inequality, emerged from the studies and was overtly examined through gender disparity, gender preference of fetus, or domestic violence. Conclusions: Gender inequality and societal acceptability of domestic violence in South Asian women contextualizes the experience of prenatal maternal anxiety. Pregnancy-related anxiety tools should include domains related to gender inequality to better understand their influence on pregnancy outcomes.

SUBMITTER: Bright KS

PROVIDER: S-EPMC6193096 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundAccess to primary health care (PHC) is a fundamental human right and central in the performance of health care systems, however persons with disabilities (PWDs) generally experience greater barriers in accessing PHC than the general population. These problems are further exacerbated for those with disabilities in rural areas. Understanding PHC access for PWDs is particularly important as such knowledge can inform policies, clinical practice and future research in rural settings.MethodsWe conducted a synthesis of published literature to explore the factors affecting access to PHC for PWDs in rural areas globally. Using an adapted keyword search string we searched five databases (CINAHL, EMBASE, Global Health, Medline and Web of Science), key journals and the reference lists of included articles. We imported the articles into NVivo and conducted deductive (framework) analysis by charting the data into a rural PHC access framework. We subsequently conducted inductive (thematic) analysis.ResultsWe identified 36 studies that met our inclusion criteria. A majority (n?=?26) of the studies were conducted in low-and middle-income countries. We found that PWDs were unable to access PHC due to obstacles including the interplay of four major factors; availability, acceptability, geography and affordability. In particular, limited availability of health care facilities and services and perceived low quality of care meant that those in need of health care services frequently had to travel for care. The barrier of geographic distance was worsened by transportation problems. We also observed that where health services were available most people could not afford the cost.ConclusionOur synthesis noted that modifying the access framework to incorporate relationships among the barriers might help better conceptualize PHC access challenges and opportunities in rural settings. We also made recommendations for policy development, practice consideration and future research that could lead to more equitable access to health care. Importantly, there is the need for health policies that aim address rural health problems to consider all the dimensions and their interactions. In terms of practice, the review also highlights the need to provide in-service training to health care providers on how to enhance their communication skills with PWDs. Future research should focus on exploring access in geographical contexts with different health care systems, the perspectives of health care providers and how PWDs respond to access problems in rural settings.

Project description:ImportanceMaternal depression and anxiety can have deleterious and lifelong consequences on child development. However, many aspects of the association of early brain development with maternal symptoms remain unclear. Understanding the timing of potential neurobiological alterations holds inherent value for the development and evaluation of future therapies and interventions.ObjectiveTo examine the association between exposure to prenatal maternal depression and anxiety symptoms and offspring white matter microstructure at 1 month of age.Design, setting, and participantsThis cohort study of 101 mother-infant dyads used a composite of depression and anxiety symptoms measured in mothers during the third trimester of pregnancy and measures of white matter microstructure characterized in the mothers' 1-month offspring using diffusion tensor imaging and neurite orientation dispersion and density imaging performed from October 1, 2014, to November 30, 2016. Magnetic resonance imaging was performed at an academic research facility during natural, nonsedated sleep.Main outcomes and measuresBrain mapping algorithms and statistical models were used to evaluate the association between maternal depression and anxiety and 1-month infant white matter microstructure as measured by diffusion tensor imaging and neurite orientation dispersion and density imaging findings.ResultsIn the 101 mother-infant dyads (mean [SD] age of mothers, 33.22 [3.99] years; mean age of infants at magnetic resonance imaging, 33.07 days [range, 18-50 days]; 92 white mothers [91.1%]; 53 male infants [52.5%]), lower 1-month white matter microstructure (decreased neurite density and increased mean, radial, and axial diffusivity) was associated in right frontal white matter microstructure with higher prenatal maternal symptoms of depression and anxiety. Significant sex × symptom interactions with measures of white matter microstructure were also observed, suggesting that white matter development may be differentially sensitive to maternal depression and anxiety symptoms in males and females during the prenatal period.Conclusions and relevanceThese data highlight the importance of the prenatal period to early brain development and suggest that the underlying white matter microstructure is associated with the continuum of prenatal maternal depression and anxiety symptoms.

Dataset Information

Prenatal Maternal Anxiety in South Asia: A Rapid Best-Fit Framework Synthesis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets