Data_Sheet_2_Prenatal Maternal Anxiety in South Asia: A Rapid Best-Fit Framework Synthesis.PDF (63.42 kB)
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Data_Sheet_2_Prenatal Maternal Anxiety in South Asia: A Rapid Best-Fit Framework Synthesis.PDF

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posted on 11.10.2018, 04:17 by Katherine Stuart Bright, Jill M. Norris, Nicole L. Letourneau, Melanie King Rosario, Shahirose S. Premji

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.