Souza Rezende Gomes Question & Answer Guide (With Explanation)
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What This Question Is About
This question relates to souza rezende gomes and requires a structured academic response.
How to Approach This Question
Break the problem into smaller parts and analyze each logically.
Key Explanation
This topic involves souza rezende gomes. A strong answer should include explanation, application, and examples.
Original Question
1. Souza JP, Day LT, Rezende-Gomes AC, Zhang J, Mori R, Baguiya A, Jayaratne K, Osoti A, Vogel JP, Campbell O, Mugerwa KY. A global analysis of the determinants of maternal health and transitions in maternal mortality. The Lancet Global Health. 2024 Feb 1;12(2):e306-16. 2. World Health Organization. Maternal mortality [Internet]. Geneva: World Health Organization; 2024 Apr 26. Available from: https://www.who.int/news-room/fact-sheets/detail/maternal-mortality 3. Baldwin-Medsker, A., Holland, J., & Rodriguez, E. S. (2020). Access to Care: Using eHealth to limit location-based barriers for patients with cancer. Clinical Journal of Oncology Nursing, 24. 4. World Health Organization. SDG Target 3.1: Reduce the global maternal mortality ratio to less than 70 per 100,000 live births. The Global Health Observatory. Available from: https://www.who.int/data/gho/data/themes/topics/sdg-target-3-1-maternal-mortality 5. Jain J, Moroz L. Strategies to reduce disparities in maternal morbidity and mortality: patient and provider education. InSeminars in perinatology 2017 Aug 1 (Vol. 41, No. 5, pp. 323-328). WB Saunders. 6. Dey A, Hay K, Afroz B, Chandurkar D, Singh K, Dehingia N, Raj A, Silverman JG. Understanding intersections of social determinants of maternal healthcare utilization in Uttar Pradesh, India. PLoS One. 2018 Oct 4;13(10):e0204810. 7. Petrova V. Can we trust our health in the hands of chatbots?: An exploratory study investigating the effect of anthropomorphic design of e-Health chatbots on patients UX (Bachelor’s thesis, University of Twente). 8. Kamali S, Ahmadian L, Khajouei R, Bahaadinbeigy K. Health information needs of pregnant women: information sources, motives and barriers. Health Information & Libraries Journal. 2018 Mar;35(1):24-37. 9. Moon, R.Y., Mathews, A., Oden, R. and Carlin, R., 2019. Mothers’ perceptions of the internet and social media as sources of parenting and health information: qualitative study. Journal of medical Internet research, 21(7), p.e14289. 10. Tandon D, Mackrain M, Beeber L, Topping-Tailby N, Raska M, Arbour M. Addressing maternal depression in home visiting: Findings from the home visiting collaborative improvement and innovation network. PloS one. 2020 Apr 16;15(4):e0230211. 11. Dobson R, Whittaker R, Bartley H, Connor A, Chen R, Ross M, McCool J. Development of a culturally tailored text message maternal health program: TextMATCH. JMIR mHealth and uHealth. 2017 Apr 20;5(4):e7205. 12. Moher D, Liberati A, Tetzlaff J, Altman DG, PRISMA Group* T. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Annals of internal medicine. 2009 Aug 18;151(4):264- 9. 13. Nißen MK. Digital Souls: Designing Engaging Healthcare Chatbots (Doctoral dissertation, ETH Zurich). 14. Sorin V, Brin D, Barash Y, Konen E, Charney A, Nadkarni G, Klang E. Large Language Models and Empathy: Systematic Review. Journal of Medical Internet Research. 2024 Dec 11;26:e52597. 15. Wang R, Wang J, Liao Y, Wang J. Supervised machine learning chatbots for perinatal mental healthcare. In2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) 2020 Dec 4 (pp. 378-383). IEEE. The research question: Why resource-based chatbot is important for maternal health? Need a research abstract of 500 words. Also clearly need an Introduction stating why maternal health needs such a resource-based chatbot? Rationale? Background? And a clear gap? use only the above 15 articles and cite them for each line written.
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