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Sun Kyung Cha 2 Articles
Risk Factors for Pediatric Inpatient Falls
Myung Sook Cho, Mi Ra Song, Sun Kyung Cha
J Korean Acad Nurs 2013;43(5):595-604.   Published online October 15, 2013
DOI: https://doi.org/10.4040/jkan.2013.43.5.595
AbstractAbstract PDF
Abstract Purpose

The purpose of this study was to identify risk factors for pediatric inpatients falls.

Methods

The study was a matched case-control design. The participants were 279 patients under the age of 6 who were admitted between January 1, 2004 and December 31, 2009. Through chart reviews, 93 pediatric patients who fell and 186 ones who did not fall were paired by gender, age, diagnosis, and length of stay. Five experts evaluated the 38 fall risk factors selected by the researchers.

Results

In a general hospital, pediatric patients with secondary diagnosis, tests that need the patient to be moved, intravenous lines, hyperactivity, anxiolytics, sedatives and hypnotics, and general anesthetics showed significance for falls on adjusted-odds ratios. Conditional logistic regression analysis was performed to elucidate the factors that influence pediatric inpatient falls. The probability of falls increased with hyperactivity and general weakness. Patients who didn't have tests that required them to be moved and intravenous line had a higher risk of falls.

Conclusion

These findings provide information that is relevant in developing fall risk assessment tools and prevention programs for pediatric inpatient falls.

Citations

Citations to this article as recorded by  
  • Risk factors for falls among children aged 0–18 years: a systematic review
    Lan Wang, Mao-Lin Qian, Xiao Shan, Xiao-Qin Liu
    World Journal of Pediatrics.2022; 18(10): 647.     CrossRef
  • Analysis of Fall Incident Rate among Hospitalized Korean Children Using Big Data
    Eun Joo Kim, Anna Lee
    Journal of Pediatric Nursing.2021; 61: 136.     CrossRef
  • A Systematic Review and Meta-Analysis of Fall Prevention Programs for Pediatric Inpatients
    Eun-Joo Kim, Geun-Myun Kim, Ji-Young Lim
    International Journal of Environmental Research and Public Health.2021; 18(11): 5853.     CrossRef
  • An electronic medical record-based fall risk assessment tool for pediatric inpatients in South Korea: Improved sensitivity and specificity
    Eun Joo Kim, Ji Young Lim, Geun Myun Kim, Junghyun Min
    Child Health Nursing Research.2021; 27(2): 137.     CrossRef
  • Reliability and Validity of a Pediatric Fall Risk Assessment Scale for Hospitalized Patients in Taiwan
    Ching-Mei Chang, Cheng-Fan Wen, Hsien-Feng Lin
    Quality Management in Health Care.2021; 30(2): 121.     CrossRef
  • Development and Effects of a Mobile Application for Safety Incident Prevention among Hospitalized Korean Children: A pilot Study of Feasibility and Acceptability
    Jihee Han, Won-Oak Oh, Il Tae Park, Anna Lee
    Journal of Pediatric Nursing.2020; 51: e69.     CrossRef
  • Risk factors of falls among inpatients with cancer
    M.D. Jun, K.M. Lee, S.A. Park
    International Nursing Review.2018; 65(2): 254.     CrossRef
  • Predictive Factors for Inpatient Falls among Children with Cerebral Palsy
    Ebru Alemdaroğlu, Sibel Demir Özbudak, Sibel Mandiroğlu, Seda Alakoç Biçer, Neşe Özgirgin, Halil Uçan
    Journal of Pediatric Nursing.2017; 32: 25.     CrossRef
  • The Effect of Pediatric Inpatient Fall Prevention Education on Caregivers' Fall-related Knowledge and Preventive Behaviors
    So Yeon Park, Hyeon Ok Ju
    Journal of Korean Academic Society of Nursing Education.2017; 23(4): 398.     CrossRef
  • A Pediatric Fall-Risk Assessment Tool for Hospitalized Children.
    Hyeon Ju Shin, Young Nam Kim, Ju Hee Kim, In Sook Son, Kyung Sook Bang
    Child Health Nursing Research.2014; 20(3): 215.     CrossRef
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  • 10 Crossref
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Clinical Nurses’ Knowledge and Visual Differentiation Ability in Pressure Ulcer Classification System and Incontinence-associated Dermatitis
Yun Jin Lee, Seungmi Park, Jung Yoon Kim, Chul-Gyu Kim, Sun Kyung Cha
J Korean Acad Nurs 2013;43(4):526-535.   Published online August 12, 2013
DOI: https://doi.org/10.4040/jkan.2013.43.4.526
AbstractAbstract PDF
Abstract Purpose

This study was done to compare clinical nurses’ knowledge and visual differentiation diagnostic ability for the pressure ulcer classification system (PUCS) and incontinence-associated dermatitis (IAD).

Methods

A convenience sample of 602 nurses took the pressure ulcer classification system and incontinence-associated dermatitis knowledge test (PUCS & IAD KT) and completed the visual differentiation tool (VDT), consisting of 21 photographs with clinical information.

Results

The overall mean score for correct answers was 14.5 (± 3.2) in PUCS & IAD KT and 11.15 (± 4.9) in PUCS & IAD VDT. Incorrect responses were most common for statements related to stage III, IAD for PUCS & IAD KT, and suspected deep tissue injury (SDTI), un-stageable, and stage III for PUCS & IAD VDT. Significant correlations were found between PUCS & IAD KT and VDT (r= .48, p< .001). Factors affecting scores for PUCS & IAD VDT were PUCS & IAD KT, frequency of pressure ulcer, IAD management and participation in wound care education programs.

Conclusion

Results indicate that nurses have an overall understanding of PUCS & IAD, but low visual differentiation ability regarding stage III, SDTI, and unstageable ulcers. Continuing education is needed to further improve knowledge and visual differentiation ability for PUCS & IAD.

Citations

Citations to this article as recorded by  
  • Effectiveness of immersive teaching strategies on pressure injury: Impact on nurses' knowledge, attitudes and self-efficacy – A partially randomized participant preference (PRPP) controlled trial
    Wen-Yi Chao, Yu-Lin Wu, Mei-Yu Hsu, Chien-Lun Chu
    Nurse Education in Practice.2025; 82: 104237.     CrossRef
  • Senior Baccalaureate Nursing Students’ Knowledge and Visual Differentiation Ability for the Pressure Injury Classification System and Incontinence-associated Dermatitis
    Eunyoung Cho, Yune Kyong Kim, Yun Jin Lee, Youn Sun Hwang
    Journal of Korean Academy of Fundamentals of Nursing.2024; 31(2): 191.     CrossRef
  • Big Data Analysis on Consumer Perception of Pressure Injuries: Text Mining and Semantic Network Analysis
    Kyung Hee Park, Jinho Lee, Soon Chul Kwon, Jaeseung Kim
    Journal of Wound Management and Research.2024; 20(3): 251.     CrossRef
  • Knowledge and Visual Differentiation Ability of the Pressure Injury Classification System and Incontinence-Associated Dermatitis among Hospital Nurses: A Descriptive Study
    Seungmi Park, Eun Jung Kim, Son Ja Lee, Eun Jeong Kim, Ji Yeon Lee, Jung Eun Hong
    Healthcare.2024; 12(2): 145.     CrossRef
  • Investigation of factors associated with pressure ulcer in patients receiving home care services via path analysis
    Selma Durmuş Sarıkahya
    Journal of Tissue Viability.2024; 33(2): 152.     CrossRef
  • Evaluating Intensive Care Nurses’ Knowledge of Incontinence-Associated Dermatitis: A Multicenter Cross-sectional Study
    Meryem Kılıç, Asiye Tuncay, Sümeyra Benan Çakır
    Advances in Skin & Wound Care.2024; 37(9): 1.     CrossRef
  • Development and Effectiveness of a Clinical Decision Support System for Pressure Ulcer Prevention Care Using Machine Learning
    Myoung Soo Kim, Jung Mi Ryu, Byung Kwan Choi
    CIN: Computers, Informatics, Nursing.2023; 41(4): 236.     CrossRef
  • The ability of critical care nurses to identify pressure injury and incontinence‐associated dermatitis: A multicentre cross‐sectional survey
    Huan Liu, Aiping Du, Yongming Tian, Mingrong Gao, Shuming Ji, Jie Mi, Xiaoping Shao, Debin Huang, Xiaoyi Cao
    Nursing Open.2023; 10(3): 1556.     CrossRef
  • Effects of Attitude, Barriers/Facilitators, and Visual Differentiation on Oral Mucosa Pressure Ulcer Prevention Performance Intention
    Min Kyeong Kang, Myoung Soo Kim
    Healthcare.2021; 9(1): 76.     CrossRef
  • The Effect of Pressure Injury Training for Nurses: A Systematic Review and Meta-analysis
    Gaeun Kim, Mikyung Park, Kyungwon Kim
    Advances in Skin & Wound Care.2020; 33(3): 1.     CrossRef
  • The Interrater Agreement for the Assessment of Pressure Ulcer Risk Using the Braden Scale and the Classification of Pressure Ulcers by Nurses in A Medium-Sized Hospital
    Hyung-Ju Na, Sung-Hee Yoo, Young-Ran Kwon, Min-Jeng Ahn
    Korean Journal of Adult Nursing.2020; 32(1): 35.     CrossRef
  • Development and Utilization of a Clinical Decision Support System Contents for Pressure Ulcer Prevention Care
    Myoung Soo Kim, Jung Mi Ryu
    Journal of Health Informatics and Statistics.2020; 45(4): 365.     CrossRef
  • Canonical Correlation between Knowledge-Barriers/Facilitators for Pressure Ulcer Prevention Nursing Variables and Attitude-Performance Variables
    Myoung Soo Kim, Jung Mi Ryu
    Journal of Health Informatics and Statistics.2019; 44(3): 227.     CrossRef
  • The use of sub-epidermal moisture measurement in predicting blanching erythema in jaundice patients
    Seungmi Park, Chul-Gyu Kim, Ji Woon Ko
    Journal of Wound Care.2018; 27(5): 342.     CrossRef
  • Effects of home-visit nursing services on hospitalization in the elderly with pressure ulcers: a longitudinal study
    Hyo Jung Lee, Yeong Jun Ju, Eun-Cheol Park, Juyeong Kim, Sang Gyu Lee
    European Journal of Public Health.2017; 27(5): 822.     CrossRef
  • Effects of pressure ulcer classification system education programme on knowledge and visual differential diagnostic ability of pressure ulcer classification and incontinence‐associated dermatitis for clinical nurses in Korea
    Yun Jin Lee, Jung Yoon Kim
    International Wound Journal.2016; 13(S1): 26.     CrossRef
  • A Phenomenological Study on Illness Experience of Patients with Pressure Ulcer
    Misoo Yoo, Myungsun Yi
    Korean Journal of Adult Nursing.2015; 27(5): 515.     CrossRef
  • Effects of Pressure Ulcer Classification System Education Program on Knowledge and Visual Discrimination Ability of Pressure Ulcer Classification and Incontinence-Associated Dermatitis for Hospital Nurses
    Yun Jin Lee, Seungmi Park
    Journal of Korean Biological Nursing Science.2014; 16(4): 342.     CrossRef
  • 265 View
  • 10 Download
  • 18 Crossref
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