Psychometric Evaluation of Persian Version of Nurses’ Intention to Care Scale (P-NICS) for Patients with COVID-19

References

• Wang W, Tang J, Wei F. Updated understanding of the outbreak of 2019 novel coronavirus (2019‐nCoV) in Wuhan, China. J Med Virol. 2020.
   Web of Science ®Google Scholar
• World Health Organization. Coronavirus disease 2019 (‎ COVID-19)‎. Situation Rep. 2020;51.
   Google Scholar
• Peeri NC, Shrestha N, Rahman MS, et al. The SARS, MERS and novel coronavirus (COVID-19) epidemics, the newest and biggest global health threats: what lessons have we learned? Int J Epidemiol. 2020. doi:10.1093/ije/dyaa033
   Web of Science ®Google Scholar
• World Health Organization. Coronavirus disease 2019 (COVID-19): situation report 74; 2020 Available from: https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200403-sitrep-74-covid-19-mp.pdf?sfvrsn=4e043d03_4. Accessed 729, 2020.
   Google Scholar
• Huang L, Rong Liu H. Emotional responses and coping strategies of nurses and nursing college students during COVID-19 outbreak. medRxiv. 2020.
   Google Scholar
• Ko N-Y, Feng M-C, Chiu D-Y, Wu M-H, Feng J-Y, Pan S-M. Applying theory of planned behavior to predict nurses’ intention and volunteering to care for SARS patients in southern Taiwan. Kaohsiung J Med Sci. 2004;20(8):389–398. doi:10.1016/S1607-551X(09)70175-515473650
   PubMedGoogle Scholar
• Danielis M, Mattiussi E. The care of patients through the lens of the fundamentals into times of the COVID-19 outbreak. Intensive Critical Care Nursing. 2020;102883. doi:10.1016/j.iccn.2020.10288332448629
   PubMed Web of Science ®Google Scholar
• Griffeth RW, Hom PW, Gaertner S. A meta-analysis of antecedents and correlates of employee turnover: update, moderator tests, and research implications for the next millennium. J Manage. 2000;26(3):463–488. doi:10.1177/014920630002600305
   Web of Science ®Google Scholar
• Mayo E. The human problems of an industrial civilization. Routledge. 2004.
   Google Scholar
• Dai Y, Hu G, Xiong H, Qiu H, Yuan X. Psychological impact of the coronavirus disease 2019 (COVID-19) outbreak on healthcare workers in China. medRxiv. 2020.
   Google Scholar
• Sofhauser C. Intention in nursing practice. Nurs Sci Q. 2016;29(1):31–34. doi:10.1177/089431841561462926660773
   PubMed Web of Science ®Google Scholar
• Ajzen I. The theory of planned behavior. Organ Behav Hum Decis Process. 1991;50(2):179–211. doi:10.1016/0749-5978(91)90020-T
   Web of Science ®Google Scholar
• Sun Young J, Hyo Sun P, Hee-Jung W, Mijung K. Intentions to care for new influenza A (H 1 N 1) patients and influencing factors: an application of theory of planned behavior. J Korean Acad Society Home Health Care Nursing. 2015;22(1):78–87.
   Google Scholar
• Kim HJ, Choi YH. Factors influencing clinical nurses’ nursing intention for high risk pathogen infected patient. J Korean Clin Nursing Res. 2016;22(3):327–335.
   Google Scholar
• Yoo HR, Kwon BE, Jang YS, Youn HK. Validity and reliability of an instrument for predictive nursing intention for SARS patient care. J Korean Acad Nurs. 2005;35(6):1063–1071. doi:10.4040/jkan.2005.35.6.1063
   Google Scholar
• Shamsi A, Peyravi H. Nursing shortage, a different challenge in Iran: A systematic review. Med J Islamic Republic Iran. 2020;34(1):54–62.
   Google Scholar
• World Health Organization; 2020 Available from: https://www.who.int/docs/default-source/coronaviruse/clinical-management-of-novel-cov.pdf. Accessed 44, 2020.
   Google Scholar
• Lawshe CH. A quantitative approach to content validity 1. Pers Psychol. 1975;28(4):563–575. doi:10.1111/j.1744-6570.1975.tb01393.x
   Web of Science ®Google Scholar
• Ö Ç, Koçak D. Using Horn’s parallel analysis method in exploratory factor analysis for determining the number of factors. Edu Sci. 2016;16(2):537–551.
   Google Scholar
• Hahs-Vaughn DL. Applied multivariate statistical concepts. Taylor Francis. 2016.
   Google Scholar
• Plichta SB, Kelvin EA. Munro’s statistical methods for health care research. Wolters Kluwer Health/Lippincott Williams Wilkins. 2012.
   Google Scholar
• Pahlevan Sharif S, Sharif Nia H. Factor Analysis and Structural Equation Modeling with SPSS and AMOS. 2 ed 3 Tehran: Jame-e-negar; 2020.
   Google Scholar
• Fornell C, Larcker DF. Evaluating structural equation models with unobservable variables and measurement error. J Marketing Res. 1981;18(1):39–50. doi:10.1177/002224378101800104
   Web of Science ®Google Scholar
• Sharif Nia H, Shafipour V, Allen K-A, Heidari MR, Yazdani-Charati J, Zareiyan A. A second-order confirmatory factor analysis of the moral distress scale-revised for nurses. Nurs Ethics. 2019;26(4):1199–1210. doi:10.1177/096973301774296229277132
   PubMed Web of Science ®Google Scholar
• Briggs SR, Cheek JM. The role of factor analysis in the development and evaluation of personality scales. J Pers. 1986;54(1):106–148. doi:10.1111/j.1467-6494.1986.tb00391.x
   Web of Science ®Google Scholar
• Byrne BM. Structural equation modeling with AMOS: basic concepts, applications, and programming, third edition. Taylor Francis. 2016.
   Google Scholar
• Wong H. Handbook of partial least squares: concepts, methods and applications: springer handbooks of computational statistics series. Springer Sci Business Media; 2010:2010.
   Google Scholar
• Park HS, Dailey R, Lemus D. The use of exploratory factor analysis and principal components analysis in communication research. Hum Commun Res. 2002;28(4):562–577. doi:10.1111/j.1468-2958.2002.tb00824.x
   Web of Science ®Google Scholar
• Vinzi VE, Chin WW, Henseler J, Wang H. Handbook of Partial Least Squares. 201 Springer; 2010.
   Google Scholar
• Lee J, Kang S J. Factors influencing nurses’ intention to care for patients with emerging infectious diseases: application of the theory of planned behavior. Nurs Health Sci. 2020;22:82–90. doi:10.1111/nhs.1265231670456
   PubMed Web of Science ®Google Scholar