Predominant approaches to measuring pregnancy-related anxiety in Sub-saharan Africa: a scoping review

Author:

Fraga Sophia Dane,Khan Ibrahim Nawaz,Sharma Tanvi A.,Lawrence Emma R.

Abstract

Abstract Background Pregnancy-related anxiety significantly impacts maternal and fetal health in low- and middle-income countries (LMICs), including those within Sub-Saharan Africa (SSA). Most studies conducted to evaluate pregnancy-related anxiety in LMICs have utilized scales developed in high-income countries, despite significant variations in pregnancy-related anxiety due to socioeconomic and cultural contexts. This review surveyed existing literature in order to identify which scales have been used to measure pregnancy-related anxiety in SSA. Methods A systematic search was conducted in PubMed, Health and Psychosocial Instruments, and APA PsycNet for relevant studies published in the English language up to March 22, 2023. Eligible studies focused on anxiety in pregnant populations within SSA, using validated scales or tools. Screening followed PRIMSA guidelines, with blinded review at the abstract/title level and subsequent full-text review. Data was extracted and analyzed to identify trends and characteristics of the screening tools used. Results From 271 articles, 37 met inclusion criteria, identifying 24 different tools used to measure anxiety in pregnant women in SSA. The most common tools were the Generalized Anxiety Disorder 7-item scale (seven uses), State-Trait Anxiety Inventory (five uses), and the Self-Reporting Questionnaire 20 (five uses). Seven tools were pregnancy-specific, with only two designed specifically for SSA: the Risk Factor Assessment (RFA), and the 4-Item Screening Tool. Studies were most frequently conducted in South Africa, followed by Tanzania, Ethiopia, Nigeria, and Ghana. Conclusions This scoping review illustrates that only two tools (the RFA and 4-item Screening Tool) were created to assess pregnancy-related anxiety specifically in SSA. This highlights the need for more culturally sensitive tools tailored to the specific contexts of pregnant populations in SSA.

Publisher

Springer Science and Business Media LLC

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