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Diagnostic Accuracy of Delirium Assessment Tools Among Critically Ill Infant : A Systematic Review Dewi Astika Rahmadhani; Risna Ningsih; Atik Setiawati; Siti Chodidjah; Nur Agustini; Mega Hasanul Huda
Indonesian Journal of Global Health Research Vol 7 No 3 (2025): Indonesian Journal of Global Health Research
Publisher : GLOBAL HEALTH SCIENCE GROUP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37287/ijghr.v7i3.6214

Abstract

Delirium is an acute change in neurologic function that can potentially lead to longterm impacts on children’s cognitive development and the quality of life. Infants under 12 months are particularly vulnerable because their cognitive and language abilities are not fully developed. Therefore, healthcare professionals need to enhance their knowledge of delirium symptoms, child development stages, and how to identify it in this age group to better detection and management. This study aims to evaluate the diagnostic accuracy of delirium assessment tools, namely the Cornell Assessment of Pediatric Delirium (CAPD), the Preschool Confusion Assessment Method for the ICU (psCAM-ICU), and the Sophia Observation Withdrawal Symptoms Pediatric Delirium (SOSPD), in detecting delirium in critically ill infants. This systematic review follows the PRISMA 2020 guidelines and includes a literature search in PubMed, Scopus, ProQuest, ScienceDirect, and Taylor & Francis from 2013 to 2023. Inclusion criteria consist of observational studies involving infants aged 0-11 months in ICU settings that utilized CAPD, psCAM-ICU, or SOSPD for delirium detection. The quality of the studies was assessed using the JBI Critical Appraisal Checklist for Studies Reporting Diagnostic Test Accuracy. Result : The analysis indicates that the SOSPD tool has a sensitivity ranging from 76.9% to 96.8% and specificity between 92% and 96.4%. The CAPD shows sensitivity from 87% to 94.1% and specificity from 88% to 98%. The psCAM exhibits sensitivity from 75% to 95% and specificity from 81% to 91%. The results demonstrate variability in accuracy depending on the age group and clinical condition of the children. Based on the research findings, psCAM is recommended as the most effective tool for detecting delirium in the infant population due to its ease of use and high accuracy. Early detection of delirium is crucial for enhancing clinical management and improving outcomes in critically ill infants.
Determinants of fatigue in children and adolescents with type 1 diabetes mellitus: A systematic review Risna Ningsih; Ina Islamia; Nur Agustini; Dewi Astika Ramadhani; Robiyatul Adawiyah; Mega Hasanul Huda; Dewi Hayati
Malahayati International Journal of Nursing and Health Science Vol. 8 No. 2 (2025): Volume 8 Number 2
Publisher : Program Studi Ilmu Keperawatan-fakultas Ilmu Kesehatan Universitas Malahayati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33024/minh.v8i2.850

Abstract

Background: Fatigue is one of the most common non-specific symptoms experienced by children and adolescents with type 1 diabetes mellitus (T1DM), yet it often goes unnoticed by clinicians. It can affect quality of life, learning ability, and engagement in daily activities. Fatigue in T1DM patients is not only related to glycemic control, but is also influenced by a complex range of physical, psychological and social determinants. A comprehensive understanding of the factors that contribute to fatigue in this population is essential for the development of more effective and holistic intervention strategies. Purpose: To determine fatigue among children and adolescents with Type 1 Diabetes Mellitus. Method: A systematic review with article selection guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The article search was conducted systematically using the keywords: “Child” AND “Children” AND “Adolescent” AND “Adolescence” AND “Teenagers” AND “Diabetes Mellitus Type 1” AND “Type 1 Diabetes” AND “IDDM” AND “Type 1 Diabetes Mellitus” AND “Juvenile Onset Diabetes” AND “Psychosocial Problem” AND “Psychosocial Support System” AND “Psychological Support System” AND “Social Support System”. This study is registered on PROSPERO (CRD42024618445). Results: Aside from anxiety, depression, and behavioral disorders, other psychosocial issues—specifically self-management difficulties—are also observed in children with T1DM. These challenges are often associated with fatigue, which can negatively affect a child's motivation, focus, and ability to consistently carry out essential diabetes care tasks such as taking insulin, monitoring blood sugar levels, managing diet, and engaging in physical activity. Conclusion: The findings related to fatigue as a psychosocial issue may offer evidence-based support for the early identification and intervention of psychosocial challenges in children and adolescents with T1DM.