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				Properties of the Measures to Assess Oxaliplatin-induced Peripheral Neuropathy: A Literature Review														
			
			Sang Hui Chu, Yoon Ju Lee, Young Joo Lee, Charles S. Cleeland			
				J Korean Acad Nurs 2015;45(6):783-801.   Published online December 31, 2015			
									DOI: https://doi.org/10.4040/jkan.2015.45.6.783
							
							 
				
										
										 Abstract  PDF
Purpose
The purpose of this study is to provide a comprehensive overview of the various measures available for assessment of oxaliplatin-induced peripheral neuropathy (OXLIPN) and to evaluate the measurement properties of each assessment tool.Methods A systematic review was conducted to identify existing measures for OXLIPN found in the databases of PubMed, Cochrane Library, Embase, RISS and KoreaMed. The quality of the 24 identified tools was evaluated based on their properties of measurement including content validity, internal consistency, criterion validity, construct validity, reproducibility, responsiveness, floor-ceiling effects and interpretability.Results Ten (41.7%) of the 24 tools were identified as specific measures for assessing OXLIPN and the most popular type of measures were clinical grading systems by clinicians (58.3%) and only 29.2% of measures were identified as patient reported outcomes. The most frequently used tool was National Cancer Institute-Common Toxicity Criteria (NCI-CTC), but the validity of NCI-CTC has not been reported appropriately. Overall, the Neuropathic Pain Symptom Inventory (NPSI) received the best psychometric scores, and the Chemotherapy-induced Peripheral Neuropathy Assessment Tool (CIPNAT) and Functional Assessment of Cancer Therapy/Gynaecologic Oncology Group-neurotoxicity-12 (FACT/GOG-Ntx-12) followed NPSI.Conclusion To select appropriate measure, evidences should be accumulated through the clinical use of tools. Therefore, practitioner and researchers are urged to report relevant statistics required for the validation of the currently used measures for assessment of OXLIPN.
					Citations Citations to this article as recorded by   Psychometric Properties of the Korean Version of the Chemotherapy-Induced Peripheral Neuropathy Assessment ToolMi Sook Jung, Mijung Kim, Kyeongin Cha, Xirong Cui, Ji Wan Lee
 Research and Theory for Nursing Practice.2022; 36(4): 422.     CrossRef
A Systematic Review of Measurement Properties of Spirituality related Assessment Tools Published in Korean JournalsIl-Sun Ko, Jin Sook Kim, Soyoung Choi
 Journal of Korean Academy of Fundamentals of Nursing.2021; 28(1): 133.     CrossRef
The Efficacy of Acupuncture in Chemotherapy-Induced Peripheral Neuropathy: Systematic Review and Meta-AnalysisTsai-Ju Chien, Chia-Yu Liu, Ching-Ju Fang, Chun-Yu Kuo
 Integrative Cancer Therapies.2019;[Epub]     CrossRef
The psychometric properties of the Turkish version of the Chemotherapy-Induced Peripheral Neuropathy Assessment Tool (CIPNAT)Sevinç Kutlutürkan, Elif Sözeri Öztürk, Fatma Arıkan, Burcu Bayrak Kahraman, Keziban Özcan, Mürvet Artuk Uçar
 European Journal of Oncology Nursing.2017; 31: 84.     CrossRef
 
		
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				Psychometric Properties of the Korean Version of the HIV Self-Management Scale in Patients with HIV														
			
			Gwang Suk Kim, Sang Hui Chu, Yunhee Park, Jun Yong Choi, Jeong In Lee, Chang Gi Park, Linda L. McCreary			
				J Korean Acad Nurs 2015;45(3):439-448.   Published online June 30, 2015			
									DOI: https://doi.org/10.4040/jkan.2015.45.3.439
							
							 
				
										
										 Abstract  PDF
Purpose
The purpose of this study was to examine validity and reliability of Webel and colleagues' HIV Self-Management Scale when used with a Korean sample.Methods The original 20-item HIV Self-Management Scale was translated into Korean using translation and back-translation. Nine HIV nurse experts tested content validity. Principal component analysis (PCA) and confirmatory factor analysis (CFA) of data from 203 patients was used to test construct validity. Concurrent validity was evaluated using correlation with patients' self-rating as a "smart patient" measured using a visual analogue scale. Internal consistency was tested by Cronbach's alpha coefficients.Results All items were rated as having satisfactory content validity. Based on PCA and consideration of conceptual meaning, a three-factor solution was selected, explaining 48.76% of the variance. CFA demonstrated the adequacy of the three-domain structure of the construct HIV self-management: daily self-management health practices, social support and HIV self-management, and chronic nature of HIV self-management. Goodness-of-fit indices showed an acceptable fit overall with the full model (χ2/ df(164)=1.66, RMSEA=0.06, SRMR=0.05, TLI=0.91, and CFI=0.92). The Korean version of the HIV Self-Management Scale (KHSMS) was significantly correlated with patients' self-rated smart patient (r=.41). The subscale Cronbach's alpha coefficients ranged from .78 to .81; alpha for the total scale was .89.Conclusion The KHSMS provides a valid and reliable measure of self-management in Korean patients with HIV. Continued psychometric testing is recommended to provide further evidence of validity with this population.
					Citations Citations to this article as recorded by   HIV self-management and associated factors among people living with HIV in Hunan, China: a nine-year longitudinal studyLannan Peng, Yeping Wang, Xi Chen, Zhi Xie, Jie Li, Dan Luo
 AIDS Care.2025; 37(2): 253.     CrossRef
The Impact of Stigma on Self-Management Behavior Among People with HIV in China: The Role of Social Support and Self-EsteemHaitao Huang, Liao Zhang, Ling Tu, Xiaona Zhang, Hua Zhong, Qianwen Liu, Ying Liu, Hong Chen
 AIDS Patient Care and STDs.2024;[Epub]     CrossRef
Self‐Management and Its Associated Factors Among People Living With HIV at University of Gondar Comprehensive Specialized Hospital: A Cross‐Sectional StudyAbdisa Gemedi Jara, Masho Tigabe Tekle, Faisel Dula Sema, Banchamlak Teferi Mekonen, Asrat Elias Ergena, Amensisa Hailu Tesfaye, Saron Naji Gebremariam, Rahel Belete Abebe, Eyayaw Ashete Belachew, Abenezer Melaku Tafese, Eden Abetu Mehari, Ali Imran
 BioMed Research International.2024;[Epub]     CrossRef
Social support, self-efficacy, self-esteem, and self-management behaviors among people living with HIV/AIDS in China: a structural equation modeling analysisHaitao Huang, Ling Tu, Xiaona Zhang, Liao Zhang, Jianxiong Zhang, Qin Liu, Qianwen Liu, Ying Liu, Hong Chen
 BMC Public Health.2024;[Epub]     CrossRef
Multidimensional Frailty, Quality of Life and Self-Management in Aging Hispanics Living With HIVEvelyn Iriarte, Rosina Cianelli, Joseph P. De Santis, Arsham Alamian, Jose G. Castro, Yui Matsuda, Alejandra-X. Araya
 Journal of Applied Gerontology.2024; 43(7): 899.     CrossRef
Factor structure of the HIV-SM LMIC self-management questionnaire for people living with HIV in low- and middle-income countriesTegene Legese Dadi, Girmay Medhin, Mark Spigt
 AIDS Research and Therapy.2024;[Epub]     CrossRef
Exploring the relationship between illness perception, self‐management and quality of life among HIV‐positive men who have sex with menXu Wang, He Xu, Yao Zhang, Jing Zeng, Cong Liu, Rui Luo, Haidan Zhong, Weiping Cai, Linghua Li, Jing Gu
 Journal of Advanced Nursing.2024; 80(12): 4963.     CrossRef
A Study on AIDS Self-Management Status and Its Influencing FactorsDong-Xia Wu, Jing-Xian Hu, Jian-Hong Ma, Ke-Yi Chang, Yun Zhang, Xiao-Li Quan, Jia-Ning Han, Hai-Jing Long, Chen Chen, Wei Zhai, Huan-Huan Guo, Li-Li Zhang, Xiao-Lan Wang
 Journal of Multidisciplinary Healthcare.2024; Volume 17: 4373.     CrossRef
The relationship between HIV-related stigma and HIV self-management among men who have sex with men: The chain mediating role of social support and self-efficacyYan Tao, Xueling Xiao, Jun Ma, Honghong Wang
 Frontiers in Psychology.2022;[Epub]     CrossRef
Psychometric properties of the Turkish version of the Diabetes Family Impact ScaleIsmail Cetintas, Melahat Akgün Kostak
 Journal for Specialists in Pediatric Nursing.2021;[Epub]     CrossRef
Identification of Self-Management Behavior Clusters Among People Living with HIV in China: A Latent Class Profile AnalysisHong Zhang, Yao Yin, Huan Wang, Ying Han, Xia Wang, Yi Liu, Hong Chen
 Patient Preference and Adherence.2021; Volume 15: 1427.     CrossRef
Factors influencing self-management of adults living with HIV on antiretroviral therapy in Northwest Ethiopia: a cross-sectional studyHabtamu Areri, Amy Marshall, Gillian Harvey
 BMC Infectious Diseases.2020;[Epub]     CrossRef
Testing a Question Prompt Intervention to Improve Communication between Patients with HIV and Healthcare Providers: A Pilot StudyGwang Suk Kim, Mi-So Shim, Jun Yong Choi, Jeong In Lee, Ji Min Kim
 Journal of Community Health Nursing.2020; 37(3): 153.     CrossRef
Development of a Question Prompt List for Patients Living With HIV and Assessment of Their Information NeedsGwang Suk Kim, Jae-Phil Choi, Jeong Min Yi, Mi-So Shim
 Journal of the Association of Nurses in AIDS Care.2019; 30(5): 575.     CrossRef
Mediators and Moderators of Health-Related Quality of Life in People Living with HIVGwang Suk Kim, Suhee Kim, Jun Yong Choi, Jeong In Lee, Chang Gi Park, Linda L. McCreary
 Journal of the Association of Nurses in AIDS Care.2018; 29(4): 580.     CrossRef
Psychometric Properties of Turkish Version of the Dutch Objective Burden InventoryCanan Demir Barutcu, Hatice Mert, Murat Bektaş
 Asian Nursing Research.2015; 9(3): 207.     CrossRef
 
		
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				Knowledge, Perception and Health Behavior about Metabolic Syndrome for an at Risk Group in a Rural Community Area														
			
			Eui Geum Oh, So Youn Bang, Sa Saeng Hyun, Sang Hui Chu, Justin Y Jeon, Myung Sook Kang			
				Journal of Korean Academy of Nursing 2007;37(5):790-800.   Published online March 28, 2017			
									DOI: https://doi.org/10.4040/jkan.2007.37.5.790
							
							 
				
										
										 Abstract  PDF
Purpose
  This study was to identify knowledge, perception and health behavior about metabolic syndrome for an at risk group in a rural community area.Methods A descriptive cross-sectional survey design was used. A total of 575 adults with hypertension, diabetes mellitus, dyslipidemia, and/or abdominal obesity were recruited from 11 rural community health care centers. A questionnaire was developed for this study. Anthropometric measures were measured and blood data was reviewed from the health record.Results Knowledge about the metabolic syndrome was low as evidenced by only a 47% correct answer rate. Only 9% of the subjects ever heard about the disease, and 87% answered they do not know the disease at all. 87% of the subjects were not performing regular exercise, 31% drank alcohol more than once a month, 12.5% were current smokers, and 33.6% are did not have a regular health check-up.Conclusion Development of systematic public health care programs are needed to prevent future increases in cardiovascular complications and to decrease health care costs. These might include educational programs for the primary health care provider and an at risk group, a therapeutic lifestyle modification program, and a health screening program to identify potential groups.
					Citations Citations to this article as recorded by   Factors influencing cardiovascular health behaviors among Korean-Chinese migrant workers with metabolic syndrome using mixed methodsYu Zhu Zhang, Seon Young Hwang
 Scientific Reports.2025;[Epub]     CrossRef
Factors Associated with Prevention of Metabolic Syndrome Among Middle-Aged Postmenopausal Korean Women: A Study Based on the Information, Motivation, Behavioral Skills (IMB) ModelYoonjung Kim, Sooyeon Park
 Patient Preference and Adherence.2023; Volume 17: 2279.     CrossRef
Effect of Household Type on the Prevalence of Metabolic Syndrome in Korea: Using Propensity Score MatchingJisu Park, Ilsu Park
 Healthcare.2022; 10(10): 1894.     CrossRef
Development and Evaluation of an Integrated Health Management Program for Psychiatric Patients with Metabolic SyndromeYun Bock Kwak, Ji Young Kim
 Journal of Korean Academy of Nursing.2022; 52(3): 261.     CrossRef
Machine and Deep Learning Applied to Predict Metabolic Syndrome without a Blood ScreeningGuadalupe O. Gutiérrez-Esparza, Tania A. Ramírez-delReal, Mireya Martínez-García, Oscar Infante Vázquez, Maite Vallejo, José Hernández-Torruco
 Applied Sciences.2021; 11(10): 4334.     CrossRef
Risk of Cardiovascular Disease Related to Metabolic Syndrome in College Students: A Cross-Sectional Secondary Data AnalysisInsil Jang, Ji-Su Kim
 International Journal of Environmental Research and Public Health.2019; 16(19): 3708.     CrossRef
Assessment of the awareness and knowledge of cancer survivors regarding the components of metabolic syndromeYeji Seo, Ji-Su Kim, Eun-shim Park, Eunjung Ryu, Olivier Barbier
 PLOS ONE.2018; 13(6): e0199142.     CrossRef
Motivation Factors for Stages of Behavioral Change among Individuals with Metabolic SyndromeRhayun Song, Moonkyoung Park
 Korean Journal of Adult Nursing.2018; 30(1): 60.     CrossRef
Metabolic Syndromes Improvement and Its Related Factors among Health Checkup Examinees in a University HospitalMal-Suk Jo, Soon-Rim Suh, Keon-Yeop Kim
 Journal of the Korea Academia-Industrial cooperation Society.2016; 17(6): 147.     CrossRef
A Study on Risk Factors of Metabolic Syndrome and Health Behaviors in a Region - 2014 community health survey -Ok-hee Ahn, Seong-hui Choi, Seo-Hyeon Kim, Si-Ok Ryu, Young-Mi Choi
 Journal of the Korea Academia-Industrial cooperation Society.2016; 17(12): 218.     CrossRef
Assessment of healthy behaviors for metabolic syndrome among Korean adults: a modified information-motivation-behavioral skills with psychological distressGuna Lee, Sook Ja Yang, Yeon Kyung Chee
 BMC Public Health.2016;[Epub]     CrossRef
The Effects of Menopause on the Metabolic Syndrome in Korean WomenSoYoun Bang, IlGu Cho
 Journal of the Korea Academia-Industrial cooperation Society.2015; 16(4): 2704.     CrossRef
The Effects of Metabolic Syndrome on Quality of LifeSo Youn Bang
 Journal of the Korea Academia-Industrial cooperation Society.2015; 16(10): 7034.     CrossRef
Metabolic Syndrome Prevalence and Lifestyle by Age and Metabolic Syndrome Status in Women ReligiousYang-Hee Kim, Hee-Seung Kim
 Journal of Korean Biological Nursing Science.2015; 17(1): 11.     CrossRef
The Relationship between Metabolic Syndrome Risk Factors and Health Promotion Behavior in General Hospital NursesHyun-Hee Park, Kwang-Ok Lee
 The Journal of the Korea Contents Association.2015; 15(6): 314.     CrossRef
Development and Evaluation of a Mobile Application for Personal Lifestyle Check-Up and ImprovementSekyoung Youm, Seung-Hun Park
 Telemedicine and e-Health.2014; 20(11): 1057.     CrossRef
Discriminating Factors of Stages of Change for Exercise among Patients with Metabolic SyndromeHyun Ju Hwang, Eun Nam Lee, Eun Jung Choi
 Journal of muscle and joint health.2014; 21(1): 46.     CrossRef
Associations between the Practice of Health Behaviors and Awareness of Metabolic Syndrome among Adults (19-64 years) in the Gwangju-Jeonnam Area: 2010 Community Health SurveyIn Ae Chun, So Yeon Ryu, Hyeon Hui Park, Jong Park, Mi Ah Han, Seong Woo Choi
 Journal of agricultural medicine and community health.2013; 38(4): 217.     CrossRef
Factors Influencing Health Behavior Compliance of Patients with Metabolic SyndromeJi-Soon Kang, Hyun-Sook Kang, Eun-Kyoung Yun, Hyun-Rim Choi
 Korean Journal of Adult Nursing.2012; 24(2): 191.     CrossRef
The Effects of Lifestyle Factors on Metabolic Syndrome among Korean AdultsMee Young Im, Young-Ran Lee, Suk Jung Han, Chung-Min Cho
 Journal of Korean Academy of Community Health Nursing.2012; 23(1): 13.     CrossRef
The Effect of Metabolic Syndrome Management Program in a Public Health CenterJae-Ryoung Seo, Sang-Soo Bae
 Journal of agricultural medicine and community health.2011; 36(4): 264.     CrossRef
A Study on Health Behaviors by a Risk Level of Metabolic Syndrome among Petty Merchants in Traditional MarketsHee-Gerl Kim, Hye-Kyung Nam, Yun-Jeong Yi
 Korean Journal of Occupational Health Nursing.2011; 20(3): 328.     CrossRef
Impact of Life Style Characteristics on Prevalence Risk of Metabolic SyndromeJi-Soo Yoo, Jeong In Jeong, Chang Gi Park, Se Won Kang, Jeong-Ah Ahn
 Journal of Korean Academy of Nursing.2009; 39(4): 594.     CrossRef
 
		
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