Nurses’ Technological Competency as Caring for Persons with End-Stage Renal Disease Receiving Hemodialysis in China and Related Factors
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Abstract
Objective: This study examines the nurses’ practice of technological competency as caring persons with end-stage renal disease (ESRD) receiving hemodialysis and the relationship between nurses’ practice of technological competency as caring and related factors. The study was based on Locsin's Theory of Technological Competency as Caring in Nursing (TCCN). Methods: A descriptive correlational
cross-sectional design is used in this study to investigate hemodialysis nurses in Guizhou, China. WeChat and Questionnaire Star were used to collect data. The tools used in the study included the Practice of Technological Competency as Caring in Nursing Instrument (P-TCCNI), the Influence of Technology Questionnaire (ITQ), and a demographic data questionnaire. The content validity index (CVI) of P-TCCNI and ITQ was 1.00 and 0.94, respectively. The Cronbach’s alpha coefficient of P-TCCNI and ITQ was 0.8 for both, respectively. The data was collected in the tertiary hospitals in Guizhou province from October to December 2024. Altogether, 180 nurses were recruited for the study. Data was analyzed using SPSS 26 software. Results: The results showed that the total score of nurses’ practice of technological competency as caring in nursing was high (M = 89.42, SD = 14.92). A significant relationship was found between nurses’ practice of technological competency as caring in nursing and the influence of technology factor (r = 0.21, p = .003). There was no significant relationship between nurses’ practice of technological competency as caring for persons with ESRD receiving hemodialysis and nurses’ demographic factors (age, education level, total years of work experience, hemodialysis-specific work experience, specialized education and training, and workload). Conclusion: This study underscores the importance of influence of technology on nurses’ technological competency as caring for persons with ERSD receiving hemodialysis. Hospital institutions are encouraged to enhance nurses’ attitudes toward technologies in healthcare to increase the nurses’ technological competency in human caring.
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References
Hashmi MF, Benjamin O, Lappin SL. End-Stage Renal Disease. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2025 [cited 2025 Mar 8]. Available from: http://www.ncbi.nlm.nih.gov/books/NBK499861/
Alcalde-Bezhold G, Alcázar-Arroyo R, Angoso-de-Guzmán M, et al. Hemodialysis Centers Guide 2020. Nefrol Engl Ed. 2021; 41: 1–77. https://doi.org/10.1016/S2013-2514(22)00042-6
Jeong E. Impact on health outcomes of hemodialysis patients based on the experience level of registered nurses in the hemodialysis department: a cross-sectional analysis. Front Health Serv. 2023; 3: 1154989. DOI: 10.3389/frhs.2023.1154989
Krel C, Vrbnjak D, Bevc S, et al. Technological competency as caring in nursing: A description, analysis and evaluation of the theory. Slov J Public Health. 2022; 61(2): 115–23. DOI: 10.2478/sjph-2022-0016
Locsin RC. The co-existence of technology and caring in the Theory of Technological Competency as Caring in Nursing. J Med Investig JMI. 2017; 64(1.2): 160–4. DOI: 10.2152/jmi.64.160
Biswas SR, Kongsuwan W, & Matchim Y. Technological competency as caring in nursing as perceived by ICU nurses in Bangladesh and its related factors. Songklanagarind J Nursing. 2016; 36(1): 1-20.
Kato K, Miyagawa M, Yasuhara Y, Osaka K, Kataoka M, Ito H, & Kongsuwan W. Recognition and status of practicing technological competency as caring in nursing by nurses in ICU. Int J Nurs Clin Pract. 2017. 4: 264 https://doi.org/10.15344/2394-4978/2017/264
Li Y, Kongsuwan W. Predictors of nurses’ caring practice for critically ill patients in critical technological environments: A cross-sectional survey study. Belitung Nurs J. 2021 Dec 6; 7(6): 476–84. doi: 10.33546/bnj.1794
Sabzevari S, Tayebeh M., Bagherian B, et al. Critical care nurses’ attitudes about influences of technology on nursing care. Br J Med Med Res. 2015; 9(8): 1–10. DOI: 10.9734/BJMMR/2015/18400
Polit DF, & Beck CT. Quantitative research design. Nursing research: Generating and assessing evidence for nursing practice (9th ed., pp. 217–218). Lippincott Williams & Wilkins. 2012.
Cook C, Heath F, & Thompson RL. A meta-analysis of response rates in web- or internet-based surveys.Educ Psychol Meas. 2000; 60(6): 821–836. https://doi.org/10.1177/00131640021970934
Locsin RC. The co-existence of technology and caring in the theory of technological competency as caring in nursing. J Med Invest. 2017; 64(1.2): 160–4. DOI: 10.2152/jmi.64.160
Cheryl F, Kathryn F. Harnessing technology to promote patient-centered care. Nurs Manag Springhouse. 2015; 46(1): 14-5. DOI: 10.1097/01.NUMA.0000459044.24554.af
Ali S, Kleib M, Paul P, Petrovskaya O, et al. Compassionate nursing care and the use of digital health technologies: A scoping review. Int J Nurs Stud. 2022 Mar; 127: 104161. DOI: 10.1016/j.ijnurstu.2021.104161
Bagherian B, Sabzevari S, Mirzaei T, et al. Effects of technology on nursing care and caring attributes of a sample of Iranian critical care nurses. Intensive Crit Care Nurs. 2017 Apr; 39: 18–27. DOI: 10.1016/j.iccn.2016.08.011
Zhang N, Xu D, Li J, Xu Z. Effects of role overload, work engagement and perceived organisational support on nurses’ job performance during the COVID-19 pandemic. J Nurs Manag. 2022; 30(4): 901–12. DOI: 10.1111/jonm.13598
