NHS FPX 4000 Assessment 3 Healthcare Disparities

The selected healthcare issue is Healthcare Disparities. Healthcare disparities are defined as differences in health and health care between groups that result from broader inequities. My interest in this topic is from my experience of how healthcare disparities contribute to poor health outcomes. Thus, they need to be addressed by negating their impacts or probably eliminating them. In my professional experience, I have seen how social determinants of health (SDOH) and health disparities hugely impact individuals’ health. The purpose of this assignment is to present an annotated bibliography of peer-reviewed articles discussing healthcare disparities.

Identifying Academic Peer-Reviewed Journal Articles

Peer-reviewed articles relating to the research topic were discovered using search engines like PubMed and MEDLINE, to source primary literature. I also sourced literature from evidence-based databases like The Cochrane Database of Systematic Reviews and UpToDate. To refine the literature search, I used the terms from the topic to search in the Boolean operator of the databases. I keyed in terms like “Healthcare Disparities”, Impact of Healthcare Disparities” and “Types of Healthcare Disparities”.

Assessing Credibility and Relevance of Information Sources

The credibility and relevance of the articles were established using the CRAAP criterion (Currency, Relevance, Authority, Accuracy, and Purpose). I limited the search to articles published within the last five years for currency. I ensured relevance by using specific key terms.  Besides, I ensured the article were authoritative by ensuring the authors were experts in the selected topic. I also evaluated the information in the articles to ensure accuracy.  Furthermore, I searched for articles that aimed to teach or inform readers about healthcare disparities.

Annotated Bibliography

Chunara, R., Zhao, Y., Chen, J., Lawrence, K., Testa, P. A., Nov, O., & Mann, D. M. (2021). Telemedicine and healthcare disparities: a cohort study in a large healthcare system in New York City during COVID-19. Journal of the American Medical Informatics Association28(1), 33-41. https://doi.org/10.1093/jamia/ocaa217


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