Data-driven approaches to bridging the gap in health communication disparities: A systematic review
1 Federal Medical Centre, Asaba, Delta State, Nigeria.
2 Parkville MO & North Kansas City Hospital, United States.
3 Global Future Redemption Empowerment Foundation, Nigeria.
4 Bharat Serums and Vaccines Limited Lagos, Nigeria.
5 United Nations Population Fund, Sri Lanka.
Review Article
World Journal of Advanced Research and Reviews, 2024, 21(02), 1435–1445
Publication history:
Received on 13 January 2024; revised on 20 February 2024; accepted on 22 February 2024
Abstract:
Data-driven approaches have emerged as powerful tools in addressing health communication disparities, aiming to bridge the gap in healthcare access and outcomes among diverse populations. A systematic review of these approaches reveals their significant potential in understanding, targeting, and mitigating communication disparities across various demographic and socio-economic groups. One key aspect of data-driven approaches is their ability to analyze vast amounts of health data to identify communication barriers and disparities. By leveraging advanced analytics and machine learning algorithms, researchers can uncover patterns, preferences, and needs among different communities, enabling tailored interventions and messages. For instance, analyzing social media data can reveal prevalent health concerns or misinformation circulating within specific populations, guiding the development of targeted communication strategies. Furthermore, data-driven approaches facilitate the evaluation of communication interventions in real-time, allowing for continuous refinement and adaptation. Through techniques such as sentiment analysis and engagement metrics, researchers can assess the effectiveness of health communication efforts among diverse audiences and make timely adjustments to optimize impact. Moreover, these approaches enable the creation of personalized health communication strategies that resonate with individuals' cultural backgrounds, languages, and literacy levels. By integrating demographic data and psychographic insights, communicators can deliver messages in culturally competent ways, fostering trust and engagement within marginalized communities. Data-driven approaches offer a promising avenue for addressing health communication disparities by providing insights into the unique needs and preferences of diverse populations. By harnessing the power of data analytics, researchers and healthcare practitioners can design more effective, tailored communication strategies that ultimately improve health outcomes and reduce disparities across communities. However, further research and collaboration are needed to maximize the potential of these approaches and ensure equitable access to healthcare communication for all.
Keywords:
Data-Driven; Health; Communication Disparities; Review; Technology; Innovation
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0