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Young Infants Clinical Signs Study 8-sign Algorithm for Identification of Sick Infants Adapted for Routine Home Visits: A Systematic Review and Critical Appraisal of its Measurement Properties

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Authors: Alastair Fung, Julie Farmer, Cornelia M Borkhoff

The Young Infants Clinical Signs Study (YICSS)-home algorithm is a practical tool for identifying sick infants during community health worker (CHW) home visits. While it shows good sensibility and reliability, it has limitations. It was originally developed for health facility use, lacking assessment of inter-CHW reliability and construct validity. Future research should enhance its accuracy by considering  maternal and birth history factors, performing internal validation, and assessing reliability and validity among CHWs during home visits. Additionally, incorporating repeated measurements from multiple visits may improve its predictive accuracy, addressing challenges like variable temperature thresholds.

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Resource Topic: Child health

Resource Type: Review

Year: 2024

Region: Not specified

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Publisher May Restrict Access: No

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