120017
论文已发表
注册即可获取德孚的最新动态
IF 收录期刊
- 3.6 Breast Cancer (Dove Med Press)
- 4.3 Clin Epidemiol
- 2.6 Cancer Manag Res
- 3.2 Infect Drug Resist
- 4.1 Clin Interv Aging
- 6.1 Drug Des Dev Ther
- 4.1 Int J Chronic Obstr
- 8.7 Int J Nanomed
- 2.5 Int J Women's Health
- 3.2 Neuropsych Dis Treat
- 2.4 OncoTargets Ther
- 2.6 Patient Prefer Adher
- 2.6 Ther Clin Risk Manag
- 3.1 J Pain Res
- 3.5 Diabet Metab Synd Ob
- 4.5 Psychol Res Behav Ma
- 3.4 Nat Sci Sleep
- 2.4 Pharmgenomics Pers Med
- 2.6 Risk Manag Healthc Policy
- 4.6 J Inflamm Res
- 2.3 Int J Gen Med
- 3.9 J Hepatocell Carcinoma
- 3.3 J Asthma Allergy
- 2.5 Clin Cosmet Investig Dermatol
- 3.0 J Multidiscip Healthc
已发表论文
患者风险识别能力中的新入职护士：一项混合方法研究
Authors He L, Meng L, Tuo C, Tan R , Li M , Wei X
Received 4 September 2025
Accepted for publication 26 January 2026
Published 5 February 2026 Volume 2026:19 565380
DOI https://doi.org/10.2147/RMHP.S565380
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 4
Editor who approved publication: Dr Gulsum Kaya
Lifang He,1 Lingyao Meng,1 Chi Tuo,1 Ruyan Tan,1 Mengyang Li,1 Xiuxia Wei2
1School of Nursing, Xiangnan University, Chenzhou, 423000, People’s Republic of China; 2Department of Nursing, Yancheng Third People’s Hospital, Affiliated Hospital 6 of Nantong University, Yancheng, 224000, People’s Republic of China
Correspondence: Xiuxia Wei, Department of Nursing, Yancheng Third People’s Hospital, Affiliated Hospital 6 of Nantong University, Yancheng, 224000, People’s Republic of China, Tel +86 15861983067, Email wxxok.hi@163.com
Purpose: Risk identification is a primary step in implementing medical risk management. Given the limited research on the patient risk identification ability of newly graduated nurses, this study aims to explore their current capacity for identifying patient risks and the associated influencing factors.
Participants and Methods: A convergent parallel mixed-methods design was employed. Quantitative data were collected via an online cross-sectional survey from 212 newly graduated nurses using the self-assessment questionnaire on patient risk identification ability. Qualitative data were obtained through semi-structured interviews with 11 participants.
Results: Participants scored 73.32 ± 9.20 in patient risk identification. Dimension scores were highest for risk perception (3.96 ± 0.51), followed by risk analysis ability (3.47 ± 0.50) and risk knowledge mastery (3.22 ± 0.54). The regression model revealed that length of employment (β = 7.475, 95% CI [6.551, 8.398]), employment type (permanent: β = 7.487, 95% CI [3.851, 11.123]), having a family member in healthcare (β = 2.409, 95% CI [0.844, 3.973]), received patient-safety training or related coursework (β = 2.700, 95% CI [0.712, 4.688]), marital status (married: β = 3.622, 95% CI [0.858, 6.386]), attitude toward nursing (β = 0.842, 95% CI [0.171, 1.512]), education level (β = 1.729, 95% CI [0.340, 3.118]), and current unit (other units: β = − 3.253, 95% CI [− 5.883, − 0.623]) were significant predictors of risk identification capacity (all p < 0.05). Qualitative analysis identified four themes: heightened risk awareness, limited ability to judge and analyze complex conditions, barriers, and facilitators. Integrated analysis showed high concordance between datasets, except regarding the influence of clinical workload.
Conclusion: The risk identification ability of newly graduated nurses requires considerable improvement, particularly in mastering risk-related knowledge and analyzing risks in complex clinical situations. This ability is influenced by personal knowledge and experience, professional values, clinical workload, patient safety education, and organizational support.
Keywords: patient safety, risk assessment, safety management, clinical competence, nurses
1School of Nursing, Xiangnan University, Chenzhou, 423000, People’s Republic of China; 2Department of Nursing, Yancheng Third People’s Hospital, Affiliated Hospital 6 of Nantong University, Yancheng, 224000, People’s Republic of China
Correspondence: Xiuxia Wei, Department of Nursing, Yancheng Third People’s Hospital, Affiliated Hospital 6 of Nantong University, Yancheng, 224000, People’s Republic of China, Tel +86 15861983067, Email wxxok.hi@163.com
Purpose: Risk identification is a primary step in implementing medical risk management. Given the limited research on the patient risk identification ability of newly graduated nurses, this study aims to explore their current capacity for identifying patient risks and the associated influencing factors.
Participants and Methods: A convergent parallel mixed-methods design was employed. Quantitative data were collected via an online cross-sectional survey from 212 newly graduated nurses using the self-assessment questionnaire on patient risk identification ability. Qualitative data were obtained through semi-structured interviews with 11 participants.
Results: Participants scored 73.32 ± 9.20 in patient risk identification. Dimension scores were highest for risk perception (3.96 ± 0.51), followed by risk analysis ability (3.47 ± 0.50) and risk knowledge mastery (3.22 ± 0.54). The regression model revealed that length of employment (β = 7.475, 95% CI [6.551, 8.398]), employment type (permanent: β = 7.487, 95% CI [3.851, 11.123]), having a family member in healthcare (β = 2.409, 95% CI [0.844, 3.973]), received patient-safety training or related coursework (β = 2.700, 95% CI [0.712, 4.688]), marital status (married: β = 3.622, 95% CI [0.858, 6.386]), attitude toward nursing (β = 0.842, 95% CI [0.171, 1.512]), education level (β = 1.729, 95% CI [0.340, 3.118]), and current unit (other units: β = − 3.253, 95% CI [− 5.883, − 0.623]) were significant predictors of risk identification capacity (all p < 0.05). Qualitative analysis identified four themes: heightened risk awareness, limited ability to judge and analyze complex conditions, barriers, and facilitators. Integrated analysis showed high concordance between datasets, except regarding the influence of clinical workload.
Conclusion: The risk identification ability of newly graduated nurses requires considerable improvement, particularly in mastering risk-related knowledge and analyzing risks in complex clinical situations. This ability is influenced by personal knowledge and experience, professional values, clinical workload, patient safety education, and organizational support.
Keywords: patient safety, risk assessment, safety management, clinical competence, nurses