Abstract:
Objective: To identify the barriers and facilitators in the
identification and management of high-risk pregnancies in India.
Methods: A systematic search of PubMed and Google Scholar
was conducted from the inception of database till 27 March
2024, using predefined keywords and search terms, including
“high risk pregnancy,” “identification,” “management,” “barrier,”
“challenge,” “facilitator,” “enabler,” and “India,” combined using
Boolean operators (AND/OR). Only studies published in English
were included. Screening was conducted using Rayyan software.
Data were extracted into structured tables and synthesized using a
qualitative thematic approach to identify key barriers and facilitators
in the identification and management of high-risk pregnancies.
Results: A total of 144 publications were identified. After screening
based on eligibility criteria, 21 studies were finally included in
the review. The included studies highlighted multiple barriers
in the identification and management of high-risk pregnancies,
including knowledge and awareness gaps among women and
healthcare providers, inconsistent clinical management, and
inadequate infrastructure. Financial constraints and cultural
factors further added to the challenges. Women in tribal and rural
areas faced additional barriers such as geographical isolation,
lack of transportation, and limited access to specialized maternal
healthcare. Facilitators identified in the literature included social
support networks, the role of community health workers in bridging
gaps between facilities and communities, and targeted education
programs. Improved health literacy, standardized clinical protocols,
and tailored management strategies were also reported as important
facilitators.
Conclusions: This review highlights the importance of
strengthening healthcare infrastructure and addressing the identified
barriers comprehensively to improve maternal and fetal outcomes.
Enhancing awareness, empowering community health workers,
and adopting standardized management protocols can contribute
significantly to better identification and management of high-risk
pregnancies in India.