The conditions under which people are born

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Walden University *

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MISC

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Nursing

Date

Nov 24, 2024

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docx

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3

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The conditions under which people are born, grow, live, work, and age are known as social determinants of health (SDoH). They include the intricate, interconnected, and overlapping social and economic systems that account for the majority of health disparities (Chen et al., 2020). Health systems and practitioners should be able to categorize the complexity of their patients using SDoH data, find the right interventions to address different needs and transform care through integrated services and community partnerships to enhance health outcomes, lessen health disparities, and save costs. Digital inclusion and broadband access should undoubtedly be considered key components of the social determinants of health. Having access to digital resources is crucial for people to manage their health in today's increasingly connected society efficiently. Take EHRs as an example to bolster this claim (Sieck et al., 2021). By providing access to a patient's prescription history, treatment plans, and medical history, these digital records help healthcare providers provide more effective and precise care. However, a patient may find it difficult to interact with an EHR if they do not have an internet connection or digital literacy abilities, which could result in poorly managed healthcare and unfavorable outcomes (Chen et al., 2020). This glaring digital divide best illustrates the impact of digital inclusion on health. The digitization of clinical records presents a new opportunity to integrate SDoH into electronic health records (EHRs) to enhance care delivery and population health. More and more health institutions and clinicians are exploring how to capture social determinant data in their EHRs and incorporate SDoH-related referrals and interventions into routine care to assess quality performance and manage patient and population health (Sieck et al., 2021). EHRs record medical history, vital signs, laboratory results, and prescription orders. Organized data like age, race, ethnicity, and diagnosis codes can reflect nonclinical health factors. Structured lifestyle domains
include favorite languages, smoking, and alcohol usage in some EHRs (Mulligan, 2023). EHR unstructured data can also provide housing, social assistance, and financial resource pressure data. EHR-derived SDoH data lack key social and behavioral factors that may affect health and death. Furthermore, mobile health, patient portals, and telemedicine are all critical tools that can improve healthcare access and outcomes. Mobile health apps can track drugs, check health, and provide health information on smartphones. However, without a smartphone or steady internet connection, these vital resources are unavailable (Chen et al., 2020). Exclusion can worsen health inequities because people without access receive less timely information and medical care. Patient portals provide another important way for people to access their health records and engage with doctors. Chronic disease management, test results, and appointment scheduling depend on these portals (Mulligan, 2023). Patients without digital inclusion cannot use these vital tools. Delays in communication and treatment can affect health outcomes. Telemedicine has transformed healthcare access, especially in rural and underserved areas (Chen et al., 2020). Patients can communicate with doctors remotely. Telemedicine is inaccessible in these places without connectivity, which may worsen health inequities. Digital inclusion and broadband access were included in social determinants of health since they greatly impact health. It emphasizes the need to improve healthcare and address structural inequities that impede access (Sieck et al., 2021). To achieve health equity, we must cross the digital divide and give everyone the tools and connectivity to control their health. Finally, digital inclusion and broadband access are important socioeconomic determinants of health. EHRs, mobile health, patient portals, and telemedicine demonstrate how these digital
resources affect and are affected by access and use. To support equitable health outcomes, digital gaps must be addressed, and everyone must benefit from healthcare's digital transformation. References Chen, M., Tan, X., & Padman, R. (2020). Social determinants of health in electronic health records and their impact on analysis and risk prediction: A systematic review. Journal of the American Medical Informatics Association : JAMIA , 27 (11), 1764–1773. https://doi.org/10.1093/jamia/ocaa143 Mulligan K. (2023). Digital inclusion, online participation and health promotion: Promising practices from community-led participatory journalism. Global Health Promotion , 30 (2), 35–39. https://doi.org/10.1177/17579759221126150 Sieck, C. J., Sheon, A., Ancker, J. S., Castek, J., Callahan, B., & Siefer, A. (2021). Digital inclusion as a social determinant of health. NPJ digital medicine , 4 (1), 52. https://doi.org/10.1038/s41746-021-00413-8
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