scholarly journals A Study on Socio Demographic Profile and Prevalence of Anaemia in Pregnant Women in Urban Slums of Tumkur City, Karnataka

2020 ◽  
Vol 9 (1) ◽  
pp. 34
Author(s):  
Waseem Anjum ◽  
Narayana Swamy D M ◽  
Nagabhushan S R ◽  
Ahmedi Fathima ◽  
Naveed Abrar
Keyword(s):  
Pregnant Women ◽  
Urban Slums ◽  
Demographic Profile

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 IODINE STATUS OF PREGNANT WOMEN RESIDING IN URBAN SLUMS IN DELHI

2018 ◽  
Vol 11 (7) ◽  
pp. 506
Author(s):  
Spriha Rao ◽  
Gurudayal Singh Toteja ◽  
Neena Bhatia ◽  
Supriya Dwivedi ◽  
Zaozianlungliu Gonmei ◽  
...  
Keyword(s):  
Pregnant Women ◽  
Urinary Iodine ◽  
Urban Slums ◽  
Iodized Salt ◽  
Nutrition Status ◽  
Urinary Iodine Concentration ◽  
Iodine Nutrition ◽  
Cross Sectional ◽  
Iodine Status ◽  
Salt Iodine

Objectives: The present study was carried out to determine the iodine nutrition status among pregnant women in slums of West Delhi.Methods: A community-based cross-sectional study was carried out among the third-trimester pregnant women residing in urban slums of West Delhi. Urinary iodine concentration was estimated using ammonium persulfate method, and salt iodine was estimated using iodometric titration.Results: Of the total 180 pregnant women, 70.6% were consuming adequately iodized salt (iodine levels ≥15 ppm). Median urinary iodine level for the pregnant women was 147.5 μg/L indicating iodine deficiency among this group. A total of 51.1% of women had urinary iodine levels <150 μg/L.Conclusion: Pregnant women belonging to slum community from Delhi have a suboptimal iodine status. Further, the proportion of women consuming iodized salt is less than the national average indicating the need to educate these women about the importance of iodine during pregnancy.

Socio-demographic profile of pregnant women using Mishri

2011 ◽  
Vol 65 (12) ◽  
pp. 528
Author(s):  
Praveen Ganganahalli ◽  
Asha Pratinidhi ◽  
SatishV Kakade
Keyword(s):  
Pregnant Women ◽  
Demographic Profile

scholarly journals Blood lead in pregnant women in the urban slums of Lucknow, India.

1996 ◽  
Vol 53 (12) ◽  
pp. 836-840 ◽  
Author(s):  
S Awasthi ◽  
R Awasthi ◽  
V K Pande ◽  
R C Srivastav ◽  
H Frumkin
Keyword(s):  
Pregnant Women ◽  
Blood Lead ◽  
Urban Slums

scholarly journals Socio-economic, cultural and demographic profile of a group of Moroccan anaemic pregnant women

2019 ◽  
Vol 19 (3) ◽  
pp. 2654-2659
Author(s):  
Nadia Ouzennou ◽  
Hakima Amor ◽  
Abdellatif Baali
Keyword(s):  
Pregnant Women ◽  
Public Health Problem ◽  
Structured Interview ◽  
Cross Sectional Study ◽  
Vulnerable Groups ◽  
Major Public Health Problem ◽  
Cross Sectional ◽  
Demographic Profile ◽  
Cultural Conditions ◽  
Socio Economic Variables

Background: Anemia is a major public health problem in Morocco especially among vulnerable groups including pregnant women. Several studies have confirmed that anemia is associated with demographic, socioeconomic and cultural factors.Objective: The objective of this study is to describe the socioeconomic, cultural and demographic profile of a group of anemic pregnant women and to determine the conditions influencing the development of anemia in the Moroccan contextMethods: A retrospective cross-sectional study was conducted by structured interview among a group of Moroccan pregnant women (300 of anemic women and 425 of non-anemic). Data were collected on biodemographic and socio-economic variables, the socio-cultural conditions of the women, the characteristics of the pregnancy and information relating to anemia.Results: Using the WHO classification criterion according to the severity of anemia, 40.6%, 56.6% and 2.8% of anaemic women were respectively mildly, moderately and severely anemic. Primiparity, unemployment, lower socio-economic level and illiteracy, were found to be associated with the development of anemia in pregnant women.Conclusion: In Morocco, nutritional problems hamper human development and improvement of health status. Knowledge of the strictness of deficiencies and factors associated are necessary to develop adapted strategies intervention to the national context.Keywords: Anemia, pregnant women, socioeconomic factors, Morocco.

scholarly journals Demographic profile of pregnant women and effect of anaemia in gestational diabetes mellitus: a cross sectional study from rural Assam

2020 ◽  
Vol 7 (6) ◽  
pp. 2303
Author(s):  
Subrata Chanda ◽  
Amarjeet Singh
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
Cross Sectional Study ◽  
Oral Glucose ◽  
Sectional Study ◽  
Cross Sectional ◽  
Demographic Profile ◽  
Resource Setting

Background: In Assam, gestational diabetes mellitus (GDM) screening is not routinely done during antenatal check-up in Assam, whereas anemia screening is done. Consequently, state-wide GDM estimate and its association with anemia in rural Assam is not available. Hence, we aim to study the demographic profile of pregnant women and their anaemia in relation to prevalence of gestational diabetes mellitus in rural Assam.Methods: The present study was part of a larger community based cross-sectional study, conducted in Assam to determine the prevalence of GDM. The pregnant women in the gestational age of 24-28 weeks, who were free of any chronic illnesses, screened for Anaemia and, GDM through oral glucose tolerance test (OGTT) as per diabetes in pregnancy study group in India guideline.Results: A total of 1212 pregnant women underwent the OGTT and test for haemoglobin estimation. Mean age of GDM women was (24.40±4.60 years), slightly higher than non-GDM women (23.50±4.04 years, p=0.007). After hemoglobin estimation, 83% of pregnant women found to be anaemic, 77% of these were GDM positive, which is quite significant with p value 0.025. A higher fraction of the pregnant mothers in our study were found suffering from anemia (83%). The independent association of GDM and anemia adjusted for other variables showed an inverse relationship.Conclusions: Though prevalence of anaemia and GDM in low resource setting in rural Assam found to be quite high, but they have inverse relationship. Anaemic pregnant women were found to be GDM protective. 

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