Next-Generation Sequencing Technology: Antimicrobial Resistance

Evidence-Based Practice Proposal: Next-Generation Sequencing Technology to Address Antimicrobial Resistance
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Abstract
Antimicrobial resistance constitutes one of the most significant healthcare sector challenges in the 21st century. Antimicrobial resistance undermines patient treatment outcomes of severe illnesses such as cancer, contributes to a more significant illness burden, as well as heightened mortality rates because of treatment failures. This report addresses the next-generation sequencing technology as an evidence-based practice (EBP) proposed to address antimicrobial resistance in society. The paper is organized into distinct sections, including problem statement, literature analysis, evaluation of the proposed EBP intervention and forecasted outcomes, implementation plan, and evaluation plan. It is a qualitative evidence-based research proposal centered on secondary research. Antimicrobial resistance is a severe societal problem undermining patient health outcomes and thus prompts the need for this proposal. Literature analysis revealed that next-generation sequencing could effectively address antimicrobial resistance and enhance health outcomes. The expected outcome relates to the project’s purpose since it would show whether the use of next-generation sequencing reduces antimicrobial resistance. In that vein, the outcome would confirm the efficacy of next-generation sequencing. Rodgers’ diffusion of innovation theory perfectly elaborates how implementing next-generation sequencing technology can mitigate the antimicrobial resistance menace in India and society. Formative and summative evaluation methods to assess the implementation of next-generation sequencing intervention to mitigate antimicrobial resistance. NGS contributes to clinical decision-making by offering diverse information levels that guide treatment with the proper antimicrobials.
Keywords: Next Generation Sequencing, Antimicrobial Resistance, Evidence-Based Practice.
Table of Contents TOC \o "1-3" \h \z \u Abstract PAGEREF _Toc82040814 \h 2Section A: Problem Statement PAGEREF _Toc82040815 \h 4Statement of the Problem PAGEREF _Toc82040816 \h 4Stakeholders PAGEREF _Toc82040817 \h 5Project Purpose and Objectives PAGEREF _Toc82040818 \h 5Section B: Literature Analysis PAGEREF _Toc82040819 \h 6Search Method PAGEREF _Toc82040820 \h 6Summary of all of the research studies PAGEREF _Toc82040821 \h 7Validity PAGEREF _Toc82040822 \h 9Reliability PAGEREF _Toc82040823 \h 9A concise summary PAGEREF _Toc82040824 \h 9PICOT Statement PAGEREF _Toc82040825 \h 10Section C: Proposed Intervention and Expected Outcomes PAGEREF _Toc82040826 \h 10Proposed Intervention PAGEREF _Toc82040827 \h 10Expected Outcomes PAGEREF _Toc82040828 \h 11Method to Achieve Outcomes PAGEREF _Toc82040829 \h 11Potential Barriers, Assumptions, and Limitations PAGEREF _Toc82040830 \h 12Outcome Impact PAGEREF _Toc82040831 \h 12Section D: Implementation Plan PAGEREF _Toc82040832 \h 13Part 1: Application of an Evidence-Based Practice (EBP) Model– Rogers’ Diffusion of Innovation Theory PAGEREF _Toc82040833 \h 13Part 2: The Ideal Practice Setting PAGEREF _Toc82040834 \h 15Stakeholders and Appro...