scholarly journals A Study on Utilization of Maternal Health Services and Factors Influencing the Utilization in Urban Slums of Lucknow

2018 ◽  
Vol 8 (2) ◽  
pp. 77-81 ◽  
Author(s):  
Chopra Deepak ◽  
Jauhari Jauhari N ◽  
Dhungana Dhungana H
Keyword(s):  
Maternal Health ◽  
Health Services ◽  
Maternal Health Services ◽  
Urban Slums ◽  
Factors Influencing

Artificial Intelligence guided citizen-centric approach to enhance uptake of maternal health services among pregnant women living in urban slum settings in India. (Preprint)

2021 ◽  
Author(s):  
Rahul Shrivastava ◽  
Manmohan Singhal ◽  
Mansi Gupta ◽  
Ashish Joshi
Keyword(s):  
Artificial Intelligence ◽  
Decision Support ◽  
Maternal Health ◽  
Health Services ◽  
Antenatal Care ◽  
Pregnant Women ◽  
Resource Planning ◽  
Urban Slum ◽  
Maternal Health Services ◽  
Urban Slums

BACKGROUND Pregnant women are considered to be a “high risk” group with limited access to health facilities in urban slums. Barriers to utilization of health services may lead to maternal and child mortality, morbidity, low birth weight, and children with stunted growth. Application of artificial intelligence (AI) can provide substantial improvements in all areas of healthcare from diagnostics to treatment. There have been several technological advances within the field of AI, however, AI not merely driven by what is technically feasible, but by what is humanly desirable is the need of the hour. OBJECTIVE The objective of our study is to develop and evaluate the AI guided citizen centric platform to enhance the uptake of maternal health services (antenatal care) amongst the pregnant women living in urban slum settings. METHODS A cross-sectional mixed method approach employed to collect data among pregnant women, aged 18-44 years, living in urban slums of South Delhi. A convenience sampling used to recruit 225 participants at the Anganwadi centres (AWC) after obtaining consent from the eligible participants. Inclusion criteria includes pregnant individuals residing in urban slums for more than 3 months, having smartphones, visiting AWC for seeking antenatal care. Quantitative and qualitative data will be collected electronically using Open Data Kit (ODK) based opensource tool from eligible participants. Data will be collected on clinical as well as socio-demographic parameters (based on existing literature). We aim to develop an innovative AI guided citizen centric decision support platform to effectively manage pregnancy and its outcomes among urban poor populations. The proposed research will help policymakers to prioritize resource planning, resource allocation and development of programs and policies to enhance maternal health outcomes. RESULTS The AI guided citizen centric decision support platform will be designed, developed, implemented and evaluated using principles of human centred design and findings of the study will be reported to diverse stakeholders. The tested and revised platform will be deployed for use across various stakeholders such as pregnant women, healthcare professionals, frontline workers, and policymakers. CONCLUSIONS With the understanding, use and adoption of emerging and innovative technologies such as AI, maternal health informatics can be at the forefront to help pregnant women in crisis. The proposed platform will potentially be scaled up to different geographic locations for adoption for similar and other health conditions.

scholarly journals Factors influencing the use of maternal health services

1967 ◽  
Vol 1 (3) ◽  
pp. 293-308 ◽  
Author(s):  
Andrew Collver ◽  
Ralph Ten Have ◽  
Mary C. Speare
Keyword(s):  
Maternal Health ◽  
Health Services ◽  
Maternal Health Services ◽  
Factors Influencing

Health systems factors influencing maternal health services: a four-country comparison

Health Policy ◽  
2005 ◽  
Vol 73 (2) ◽  
pp. 127-138 ◽  
Author(s):  
Justin Oliver Parkhurst ◽  
Loveday Penn-Kekana ◽  
Duane Blaauw ◽  
Dina Balabanova ◽  
Kirill Danishevski ◽  
...  
Keyword(s):  
Maternal Health ◽  
Health Services ◽  
Health Systems ◽  
Maternal Health Services ◽  
Factors Influencing ◽  
Country Comparison

scholarly journals Decision Making towards Maternal Health Services in Central Java, Indonesia

2017 ◽  
Vol 6 (2) ◽  
pp. 68 ◽  
Author(s):  
Treesia Sujana ◽  
Margareth Barnes ◽  
Jennifer Rowe ◽  
Rachel Reed
Keyword(s):  
Health Status ◽  
Maternal Health ◽  
Health Services ◽  
Health Workers ◽  
Maternal Health Services ◽  
Target Area ◽  
Central Java ◽  
Factors Influencing ◽  
The Impact ◽  
The Village

Background: Indonesia has always been struggling with maternal health issue even after the Millennium Development Goals (MDGs) programs were done. Prior research findings identified many factors which influenced maternal health status in developing countries such Indonesia and even though various efforts had been made, the impact of the transformation of maternal health behavior was minimal.Purpose: This study aimed to seek an understanding of the factors influencing decisions towards maternal health services.Methods: A case study with a single case embedded design was employed. Interviews and Focus Group Discussions (FGDs) were held to collect data from 3 health workers and 40 maternal women in a sub-district in Central Java, Indonesia.Results: Interviews with the village midwives as the main health providers in the Getasan sub-district concluded that there were several factors influencing the women's decisions towards maternal services. The factors were options to have services with other health workers outside the area, and shaman services as alternative care and family influencing maternal health behaviors. The analysis of the FGDs also supported the village midwives’ statements that in spite of their awareness towards the available maternal health services, the existence of shamans and traditional beliefs strongly affected their decision.Conclusion: The findings in this study showed that cultural issues prevented the maximum maternal health status in Getasan sub-district. This study recommends Puskesmas (Primary Health Care) as the first level of health institutions in Indonesia to support the village midwives’ roles within their target area.

scholarly journals Improving maternal health services through social accountability interventions in Nepal: an analytical review of existing literature

2020 ◽  
Vol 41 (1) ◽  
Author(s):  
Adweeti Nepal ◽  
Santa Kumar Dangol ◽  
Anke van der Kwaak
Keyword(s):  
Maternal Health ◽  
Health Services ◽  
Health System ◽  
Maternal Health Services ◽  
Policy Formulation ◽  
Social Accountability ◽  
The Social ◽  
The Government ◽  
The Impact

Abstract Background The persistent quality gap in maternal health services in Nepal has resulted in poor maternal health outcomes. Accordingly, the Government of Nepal (GoN) has placed emphasis on responsive and accountable maternal health services and initiated social accountability interventions as a strategical approach simultaneously. This review critically explores the social accountability interventions in maternal health services in Nepal and its outcomes by analyzing existing evidence to contribute to the informed policy formulation process. Methods A literature review and desk study undertaken between December 2018 and May 2019. An adapted framework of social accountability by Lodenstein et al. was used for critical analysis of the existing literature between January 2000 and May 2019 from Nepal and other low-and-middle-income countries (LMICs) that have similar operational context to Nepal. The literature was searched and extracted from database such as PubMed and ScienceDirect, and web search engines such as Google Scholar using defined keywords. Results The study found various social accountability interventions that have been initiated by GoN and external development partners in maternal health services in Nepal. Evidence from Nepal and other LMICs showed that the social accountability interventions improved the quality of maternal health services by improving health system responsiveness, enhancing community ownership, addressing inequalities and enabling the community to influence the policy decision-making process. Strong gender norms, caste-hierarchy system, socio-political and economic context and weak enforceability mechanism in the health system are found to be the major contextual factors influencing community engagement in social accountability interventions in Nepal. Conclusions Social accountability interventions have potential to improve the quality of maternal health services in Nepal. The critical factor for successful outcomes in maternal health services is quality implementation of interventions. Similarly, continuous effort is needed from policymakers to strengthen monitoring and regulatory mechanism of the health system and decentralization process, to improve access to the information and to establish proper complaints and feedback system from the community to ensure the effectiveness and sustainability of the interventions. Furthermore, more study needs to be conducted to evaluate the impact of the existing social accountability interventions in improving maternal health services in Nepal.

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