Journal of Korean Academy of Nursing

Research Paper

Psychometric Properties of the Fall Risk Perception Questionnaire-Short Version for Inpatients in Acute Care Hospitals: Choi, Jeeeun , Lee, Sujin , Park, Eunjin , Ku, Sangha , Kim, Sunhwa , Yu, Wonhye , Jeong, Eunmi , Park, Sukhee , Park, Yusun , Kim, Hye Young , Kim, Sung Reul; J Korean Acad Nurs 2024;54(2):151-161. Published online May 31, 2024; DOI: https://doi.org/10.4040/jkan.23127

Abstract PDF: Purpose
Patients’ perception of fall risk is a promising new indicator for fall prevention. Therefore, a fall risk perception questionnaire that can be used rapidly and repeatedly in acute care settings is required. This study aimed to develop a short version of the fall risk perception questionnaire (Short-FRPQ) for inpatients.
Methods
For the psychometric measurements, 246 inpatients were recruited from an acute care hospital. The construct (using confirmatory factor analysis and discriminant validity of each item), convergent, and known-group validities were tested to determine the validity of the Short-FRPQ. McDonald’s omega coefficient was used to examine the internal consistency of reliability.
Results
In the confirmatory factor analysis, the fit indices of the Short-FRPQ, comprising 14 items and three factors, appeared to be satisfactory. The Short-FRPQ had a significantly positive correlation with the original scale, the Korean Falls Efficacy Scale-International, and the Morse Fall Scale. The risk of falls group, assessed using the Morse Fall Scale, had a higher score on the Short-FRPQ. McDonald’s omega coefficient was .90.
Conclusion
The Short-FRPQ presents good reliability and validity. As patient participation is essential in fall interventions, evaluating the fall risk perception of inpatients quickly and repeatedly using scales of acceptable validity and reliability is necessary.

268 View
24 Download

Original Articles

A Comparative Study on the Predictive Validity among Pressure Ulcer Risk Assessment Scales: Young Hee Lee, Ihn Sook Jeong, Seong Sook Jeon; Journal of Korean Academy of Nursing 2003;33(2):162-169. Published online March 28, 2017; DOI: https://doi.org/10.4040/jkan.2003.33.2.162

Abstract PDF

Purpose

This study was to compare the predictive validity of Norton Scale(1962), Cubbin & Jackson Scale(1991), and Song & Choi Scale(1991).

Method

Data were collected three times per week from 48-72hours after admission based on the four pressure sore risk assessment scales and a skin assessment tool for pressure sore on 112 intensive care unit(ICU) patients in a educational hospital Ulsan during Dec, 11, 2000 to Feb, 10, 2001. Four indices of validity and area under the curve(AUC) of receiver operating characteristic(ROC) were calculated.

Result

Based on the cut off point presented by the developer, sensitivity, specificity, positive predictive value, negative predictive value were as follows : Norton Scale : 97%, 18%, 35%, 93% respectively; Cubbin & Jackson Scale : 89%, 61%, 51%, 92%, respectively; and Song & Choi Scale : 100%, 18%, 36%, 100% respectively. Area under the curves(AUC) of receiver operating characteristic(ROC) were Norton Scale .737, Cubbin & Jackson Scale .826, Song & Choi Scale .683.

Conclusion

The Cubbin & Jackson Scale was found to be the most valid pressure sore risk assessment tool. Further studies on patients with chronic conditions may be helpful to validate this finding.

Citations

Citations to this article as recorded by

Patient-Level Fall Risk Prediction Using the Observational Medical Outcomes Partnership’s Common Data Model: Pilot Feasibility Study
Hyesil Jung, Sooyoung Yoo, Seok Kim, Eunjeong Heo, Borham Kim, Ho-Young Lee, Hee Hwang
JMIR Medical Informatics.2022; 10(3): e35104. CrossRef
Predictive Validity of the Braden Scale for Pressure Ulcer Risk in Critical Care: A Meta‐Analysis
Min Wei, Ling Wu, Yan Chen, Qiaomei Fu, Wenyue Chen, Dongliang Yang
Nursing in Critical Care.2020; 25(3): 165. CrossRef
Predictive Validity of Pressure Ulcer Risk Assessment Scales among Patients in a Trauma Intensive Care Unit
Ja Eun Choi, Sun-Kyung Hwang
Journal of Korean Critical Care Nursing.2019; 12(2): 26. CrossRef
Testing the Predictive Validity of the Hendrich II Fall Risk Model
Hyesil Jung, Hyeoun-Ae Park
Western Journal of Nursing Research.2018; 40(12): 1785. CrossRef
Automated Pressure Injury Risk Assessment System Incorporated Into an Electronic Health Record System
Yinji Jin, Taixian Jin, Sun-Mi Lee
Nursing Research.2017; 66(6): 462. CrossRef
Longitudinal Evaluation of Johns Hopkins Fall Risk Assessment Tool and Nurses' Experience
Eun Young Hur, Yinji Jin, Taixian Jin, Sun-Mi Lee
Journal of Nursing Care Quality.2017; 32(3): 242. CrossRef
Predictive Validity of Pressure Ulcer Risk Assessment Tools for Elderly
Seong-Hi Park, Young-Shin Lee, Young-Mi Kwon
Western Journal of Nursing Research.2016; 38(4): 459. CrossRef
A Meta-analysis of the Timed Up and Go test for Predicting Falls
Seong-Hi Park, On-Seok Lee
Quality Improvement in Health Care.2016; 22(2): 27. CrossRef
Predictive validity of the Braden Scale for pressure ulcer risk in hospitalized patients
Seong-Hi Park, Yun-Kyoung Choi, Chang-Bum Kang
Journal of Tissue Viability.2015; 24(3): 102. CrossRef
Validation of Fall Risk Assessment Scales among Hospitalized Patients in South Korea using Retrospective Data Analysis
Young Ok Kang, Rhayun Song
Korean Journal of Adult Nursing.2015; 27(1): 29. CrossRef
Validity of the Morse Fall Scale implemented in an electronic medical record system
Seonhyeon Baek, Jinshi Piao, Yinji Jin, Sun‐Mi Lee
Journal of Clinical Nursing.2014; 23(17-18): 2434. CrossRef
Incidence and Associated Factors of Pressure Ulcers in Newborns
Won-Young Choi, Hyeon-Ok Ju
Journal of Korean Academy of Child Health Nursing.2012; 18(4): 177. CrossRef
Predictive Bayesian Network Model Using Electronic Patient Records for Prevention of Hospital-Acquired Pressure Ulcers
In Sook Cho, Eunja Chung
Journal of Korean Academy of Nursing.2011; 41(3): 423. CrossRef
Braden Scale: evaluation of clinical usefulness in an intensive care unit
InSook Cho, Maengseok Noh
Journal of Advanced Nursing.2010; 66(2): 293. CrossRef

84 View
2 Download
14 Crossref

Optimal Time Interval for Position Change for ICU Patients using Foam Mattress Against Pressure Ulcer Risk: Hyean Jeong Kim, In Sook Jeong; J Korean Acad Nurs 2012;42(5):730-737. Published online October 31, 2012; DOI: https://doi.org/10.4040/jkan.2012.42.5.730

Abstract PDF

Purpose

This study was done to identify the time interval to pressure ulcer and to determine the optimal time interval for position change depending on pressure ulcer risk in patients using foam mattress in intensive care units.

Methods

The Braden scale score, occurrence of pressure ulcers and position change intervals were assessed with 56 patients admitted to an intensive care unit from April to November, 2011. The time to pressure ulcer occurrence by Braden scale risk group was analyzed with Kaplan-Meier survival analysis and log rank test. Then, the optimal time interval for position change was calculated with ROC curve.

Results

The median time to pressure ulcer occurrence was 5 hours at mild or moderate risk, 3.5 hours at high risk and 3 hours at very high risk on the Braden scale. The optimal time interval for position change was 3 hours at mild and moderate risk, 2 hours at high and very high risk of Braden scale.

Conclusion

When foam mattresses are used a slight extension of the time interval for position change can be considered for the patients with mild or moderate pressure ulcer risk but not for patients with high or very high pressure ulcer risk by Braden scale.

Citations

Citations to this article as recorded by

The effect of support surface on the prevention of pressure injury in acute care settings: A multi-center prospective observational study
Mi-Ock Shim, Chul-Gyu Kim, Ja Kyung Min, So Yeon Kwak, Hyunhee Ghil, Seungmi Park
Journal of Tissue Viability.2024; 33(4): 652. CrossRef
Predicting the cut‐off point for interface pressure in pressure injury according to the standard hospital mattress and polyurethane foam mattress as support surfaces
Mi Yu, Kyung Hee Park, Jiseon Shin, Ji Hyun Lee
International Wound Journal.2022; 19(6): 1509. CrossRef
Effectiveness of Devices for Prevention and Treatment of Pressure Ulcers: A scoping Review
Soo Youn Jung, Mina Park, Kyoung Ja Moon
Korean Journal of Adult Nursing.2022; 34(2): 123. CrossRef
Comparing Pressure Injury Incidence Based on Repositioning Intervals and Support Surfaces in Acute Care Settings: A Quasi-Experimental Pragmatic Study
Jeong Sil Choi, Seon Young Hyun, Sun Ju Chang
Advances in Skin & Wound Care.2021; 34(8): 1. CrossRef
Perioperative factors and pressure ulcer development in postoperative ICU patients: a retrospective review
Neha Kumta, Fiona Coyer, Michael David
Journal of Wound Care.2018; 27(8): 475. CrossRef
Improving the quality of nurse‐influenced patient care in the intensive care unit
Lynsey J. Sutton, Rebecca J. Jarden
Nursing in Critical Care.2017; 22(6): 339. CrossRef
The Efficacy of a Viscoelastic Foam Overlay on Prevention of Pressure Injury in Acutely Ill Patients
Kyung Hee Park, Joohee Park
Journal of Wound, Ostomy & Continence Nursing.2017; 44(5): 440. CrossRef
Automated Pressure Injury Risk Assessment System Incorporated Into an Electronic Health Record System
Yinji Jin, Taixian Jin, Sun-Mi Lee
Nursing Research.2017; 66(6): 462. CrossRef
Prophylactic Effect of Transparent Film Dressing on Sacrum and Coccyx in SICU Patients*
Heejeong Kim, Sun-Mi Lee, Hee young Choi, Yu Kyung Min, Yoo Jin Jung
Journal of Korean Academy of Fundamentals of Nursing.2016; 23(3): 256. 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
Reusability of EMR Data for Applying Cubbin and Jackson Pressure Ulcer Risk Assessment Scale in Critical Care Patients
Eunkyung Kim, Mona Choi, JuHee Lee, Young Ah Kim
Healthcare Informatics Research.2013; 19(4): 261. CrossRef

117 View
5 Download
11 Crossref

Predictive Bayesian Network Model Using Electronic Patient Records for Prevention of Hospital-Acquired Pressure Ulcers: In Sook Cho, Eunja Chung; J Korean Acad Nurs 2011;41(3):423-431. Published online June 13, 2011; DOI: https://doi.org/10.4040/jkan.2011.41.3.423

Abstract PDF

Purpose

The study was designed to determine the discriminating ability of a Bayesian network (BN) for predicting risk for pressure ulcers.

Methods

Analysis was done using a retrospective cohort, nursing records representing 21,114 hospital days, 3,348 patients at risk for ulcers, admitted to the intensive care unit of a tertiary teaching hospital between January 2004 and January 2007. A BN model and two logistic regression (LR) versions, model-I and -II, were compared, varying the nature, number and quality of input variables. Classification competence and case coverage of the models were tested and compared using a threefold cross validation method.

Results

Average incidence of ulcers was 6.12%. Of the two LR models, model-I demonstrated better indexes of statistical model fits. The BN model had a sensitivity of 81.95%, specificity of 75.63%, positive and negative predictive values of 35.62% and 96.22% respectively. The area under the receiver operating characteristic (AUROC) was 85.01% implying moderate to good overall performance, which was similar to LR model-I. However, regarding case coverage, the BN model was 100% compared to 15.88% of LR.

Conclusion

Discriminating ability of the BN model was found to be acceptable and case coverage proved to be excellent for clinical use.

Citations

Citations to this article as recorded by

Development of a Pressure Injury Machine Learning Prediction Model and Integration into Clinical Practice: A Prediction Model Development and Validation Study
Ju Hee Lee, Jae Yong Yu, So Yun Shim, Kyung Mi Yeom, Hyun A Ha, Se Yong Jekal, Ki Tae Moon, Joo Hee Park, Sook Hyun Park, Jeong Hee Hong, Mi Ra Song, Won Chul Cha
Korean Journal of Adult Nursing.2024; 36(3): 191. CrossRef
Evaluation of the risk prediction model of pressure injuries in hospitalized patient: A systematic review and meta‐analysis
Yuxia Ma, Xiang He, Tingting Yang, Yifang Yang, Ziyan Yang, Tian Gao, Fanghong Yan, Boling Yan, Juan Wang, Lin Han
Journal of Clinical Nursing.2024;[Epub] CrossRef
The predictive effect of different machine learning algorithms for pressure injuries in hospitalized patients: A network meta-analyses
Chaoran Qu, Weixiang Luo, Zhixiong Zeng, Xiaoxu Lin, Xuemei Gong, Xiujuan Wang, Yu Zhang, Yun Li
Heliyon.2022; 8(11): e11361. CrossRef
Predictive Modeling of Pressure Injury Risk in Patients Admitted to an Intensive Care Unit
Mireia Ladios-Martin, José Fernández-de-Maya, Francisco-Javier Ballesta-López, Adrián Belso-Garzas, Manuel Mas-Asencio, María José Cabañero-Martínez
American Journal of Critical Care.2020; 29(4): e70. CrossRef
Development and Evaluation of Electronic Health Record Data-Driven Predictive Models for Pressure Ulcers
Seul Ki Park, Hyeoun-Ae Park, Hee Hwang
Journal of Korean Academy of Nursing.2019; 49(5): 575. CrossRef
Development and Comparison of Predictive Models for Pressure Injuries in Surgical Patients
Seul Ki Park, Hyeoun-Ae Park, Hee Hwang
Journal of Wound, Ostomy & Continence Nursing.2019; 46(4): 291. CrossRef
Automated Pressure Injury Risk Assessment System Incorporated Into an Electronic Health Record System
Yinji Jin, Taixian Jin, Sun-Mi Lee
Nursing Research.2017; 66(6): 462. CrossRef
Recommendation of Personalized Surveillance Interval of Colonoscopy via Survival Analysis
Jayeon Gu, Eun Sun Kim, Seoung Bum Kim
Journal of Korean Institute of Industrial Engineers.2016; 42(2): 129. CrossRef
Medical Data Based Clinical Pathway Analysis and Automatic Ganeration System
Hanna Park, In Ho Bae, Yong Oock Kim
The Journal of Korea Information and Communications Society.2014; 39C(6): 497. CrossRef
Reusability of EMR Data for Applying Cubbin and Jackson Pressure Ulcer Risk Assessment Scale in Critical Care Patients
Eunkyung Kim, Mona Choi, JuHee Lee, Young Ah Kim
Healthcare Informatics Research.2013; 19(4): 261. CrossRef
Using EHR data to predict hospital-acquired pressure ulcers: A prospective study of a Bayesian Network model
Insook Cho, Ihnsook Park, Eunman Kim, Eunjoon Lee, David W. Bates
International Journal of Medical Informatics.2013; 82(11): 1059. CrossRef

111 View
3 Download
11 Crossref

Comparison for Risk Estimate of Aspiration between the Revised Dysphagia Assessment Tool and Videofluoroscopy in Post-Stroke Patients: Kyung Hee Moon, Hyun Sook Sohn, Eun Seok Lee, Eun Kyung Paek, Eun Ju Kang, Seung Hee Lee, Na Ri Han, Meen Hye Lee, Deog Young Kim, Chang Gi Park, Ji-Soo Yoo; J Korean Acad Nurs 2010;40(3):359-366. Published online June 30, 2010; DOI: https://doi.org/10.4040/jkan.2010.40.3.359

Abstract PDF

Purpose

The purpose of this study was to determine the significant factors for risk estimate of aspiration and to evaluate the efficiency of the dysphagia assessment tool.

Methods

A consecutive series of 210 stroke patients with aspiration symptoms such as cough and dysphagia who had soft or regular diet without tube feeding were examined. The dysphagia assessment tool for aspiration was compared with videofluoroscopy using Classification and Regression Tree (CART) analysis.

Results

In CART analysis, of 34 factors, the significant factors for estimating risk of aspiration were cough during swallowing, oral stasis, facial symmetry, salivary drooling, and cough after swallowing. The risk estimate error of the revised dysphagia assessment tool was 25.2%, equal to that of videofluoroscopy.

Conclusion

The results indicate that the dysphagia assessment tool developed and examined in this study was potentially useful in the clinical field and the primary risk estimating factor was cough during swallowing. Oral stasis, facial symmetry, salivary drooling, cough after swallowing were other significant factors, and based on these results, the dysphagia assessment tool for aspiration was revised and complemented.

Citations

Citations to this article as recorded by

Screening for aspiration risk associated with dysphagia in acute stroke
Elizabeth Boaden, Jane Burnell, Lucy Hives, Paola Dey, Andrew Clegg, Mary W Lyons, C Elizabeth Lightbody, Margaret A Hurley, Hazel Roddam, Elizabeth McInnes, Anne Alexandrov, Caroline L Watkins
Cochrane Database of Systematic Reviews.2021;[Epub] CrossRef
Development and Utilization of Assessment and Intervention Checklist for Post-stroke Dysphagia
Eun Ha Lee, Ja Yun Choi
Korean Journal of Adult Nursing.2013; 25(2): 113. CrossRef

108 View
1 Download
2 Crossref

First
Prev
Page of 1
Next
Last

Search