The Nurse as Sentinel: Integrating Frontline Clinical Observation into Community-Based Epidemiological Surveillance Systems
Abstract
Background: Epidemiological surveillance traditionally relies on laboratory-confirmed case reporting, creating critical delays in outbreak detection. Nurses—positioned at the first point of patient contact across hospitals, clinics, schools, and communities—represent an underutilized resource for real-time syndromic surveillance and early warning.
Aim: This narrative review synthesizes evidence on the potential of nursing observation and documentation as a formal component of community-based epidemiological surveillance systems, examining barriers, facilitators, and the critical interface with laboratory confirmation.
Methods: A structured narrative review of English-language literature (2010-2024) was conducted using PubMed, CINAHL, and Scopus. Keywords included "nursing surveillance," "syndromic surveillance," "early warning systems," "community health workers," and "specimen collection." Literature was synthesized to construct a framework for nursing-integrated surveillance.
Results: Nurses contribute to surveillance through three interconnected mechanisms: systematic documentation of syndromic data during routine assessments, recognition of unusual disease patterns exceeding clinical intuition, and quality of specimen collection directly impacting laboratory confirmation rates. Barriers include inadequate training, perceived role boundaries, documentation burden, and absence of feedback loops. Facilitators include structured screening tools, electronic clinical decision support, and integrated training programs like the Epidemic-Ready Primary Health Care framework.
Conclusions: Empowering nurses as formal surveillance sentinels requires systematic integration of structured data collection tools, closed-loop feedback systems, and competency-based education that bridges clinical observation, specimen quality, and public health reporting.
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References
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Copyright (c) 2024 Basmah Abdu Hibah Jaber, Layla Hafiz Ali Hakamy, Abdullah Abdulaziz Alsharif, Hind Mkhoot Alfhigi, Fatima Ahmed Mohammed Jawni, Mousa Hassan Yahya Suwayyid, Walaa Abdu Yahya Alaag, Khdejah Nayed Hamoud Alatawi, Mousa Yahya Ahmad Hamdi, Maryam Abdullah Salah Alanazi, Aisha Saed Aoudah Asiri, Huda Awad Alanazi
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