Cristina Petrucci

Prof. Cristina Petrucci

orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2021 in Nurse Education Today
Verified
Journal Article
Closed access
VCValeria Caponnetto
Valeria Caponnetto
Angelo DanteAngelo Dante
Angelo Dante
VMVittorio Masotta
Vittorio Masotta
CCCarmen La Cerra
Carmen La Cerra
CPCristina Petrucci
Cristina Petrucci
LLLoreto Lancia
Loreto Lancia

1 January 2024 in CIN: Computers, Informatics, Nursing
Verified
Journal Article
Open access
LBLuca Bertocchi
Luca Bertocchi
Angelo DanteAngelo Dante
Angelo Dante
CCCarmen La Cerra
Carmen La Cerra
VMVittorio Masotta
Vittorio Masotta
AMAlessia Marcotullio
Alessia Marcotullio
CPCristina Petrucci
Cristina Petrucci
Computer-based technologies have been widely used in nursing education, although the best educational modality to improve documentation and nursing diagnostic accuracy using electronic health records is still under investigation. It is important to address this gap and seek an effective way to address increased accuracy around nursing diagnoses identification. Nursing diagnoses are judgments that represent a synthesis of data collected by the nurse and used to guide interventions and to achieve desirable patients' outcomes. This current investigation is aimed at comparing the nursing diagnostic accuracy, satisfaction, and usability of a computerized system versus a traditional paper-based approach. A total of 66 nursing students solved three validated clinical scenarios using the NANDA-International terminologies traditional paper-based approach and then the computer-based Clinical Decision Support System. Study findings indicated a significantly higher nursing diagnostic accuracy (P < .001) in solving cancer and stroke clinical scenarios, whereas there was no significant difference in acute myocardial infarction scenario. The use of the electronic system increased the number of correct diagnostic indicators (P < .05); however, the level of students' satisfaction was similar. The usability scores highlighted the need to make the electronic documentation systems more user-friendly.

1 November 2018 in Nurse Education Today
Verified
Journal Article
Closed access
LLLoreto Lancia
Loreto Lancia
VCV. Caponnetto
V. Caponnetto
Angelo DanteAngelo Dante
Angelo Dante
Antonella MatteiAntonella Mattei
Antonella Mattei
CCCarmen La Cerra
Carmen La Cerra
CPCristina Petrucci
Cristina Petrucci

8 February 2017 in International Journal of Nursing Practice
Verified
Journal Article
Closed access
PDF file
Ippolito NotarnicolaIppolito Notarnicola
Ippolito Notarnicola
CPCristina Petrucci
Cristina Petrucci
MBMaria Rosimar De Jesus Barbosa
Maria Rosimar De Jesus Barbosa
FGFabio Giorgi
Fabio Giorgi
Alessandro StievanoAlessandro Stievano
Alessandro Stievano
LLLoreto Lancia
Loreto Lancia

Angelo DanteAngelo Dante
Angelo Dante
CCCarmen La Cerra
Carmen La Cerra
VCValeria Caponnetto
Valeria Caponnetto
VMVittorio Masotta
Vittorio Masotta
AMAlessia Marcotullio
Alessia Marcotullio
LLLoreto Lancia
Loreto Lancia
Background: The best application modality of high-fidelity simulation in graduate critical care nursing courses is still rarely investigated in nursing research. This is an important issue since advanced nursing skills are necessary to effectively respond to critically ill patients’ care needs. The aim of the study was to examine the influence of a modified teaching model based on multiple exposures to high-fidelity simulations on both the learning outcomes and the perceptions of graduate students enrolled in a critical care nursing course. Methods: A multimethod study involving a sample of graduate critical care nursing students was conducted. A theoretical teaching model focused on multiple exposures to high-fidelity simulations is currently applied as a teaching method in an Italian critical care nursing course. According to the Kirkpatrick model for evaluating training programs, the performance, self-efficacy, and self-confidence in managing critically ill patients were considered learning outcomes, while satisfaction with learning and students’ lived experiences during the experimental phases were considered students’ perceptions. Results: Multiple exposures to high-fidelity simulations significantly improved performance, self-efficacy, and self-confidence in managing virtual critically ill patients’ care needs. The satisfaction level was high, while lived experiences of participants were positive and allowed for better explanation of quantitative results of this study. Conclusions: Multiple exposures to high-fidelity simulations can be considered a valuable teaching method that can improve the learning outcomes of graduate nurses enrolled in an intensive care course.

22 May 2025 in Nursing Reports
Verified
Journal Article
Open access
PDF file
LBLuca Bertocchi
Luca Bertocchi
CPCristina Petrucci
Cristina Petrucci
MCMassimo Alex Calzetta
Massimo Alex Calzetta
Angelo DanteAngelo Dante
Angelo Dante
Felice CurcioFelice Curcio
Felice Curcio
CGCesar Iván Avilés González
Cesar Iván Avilés González
Background/Objectives: Organ transplantation is a vital treatment for individuals with advanced chronic-degenerative diseases. However, the global shortage of donated organs remains a significant challenge. Improving knowledge and attitudes could positively impact this issue. This study assessed the knowledge and attitudes of nursing students regarding organ donation and transplantation. Methods: A cross-sectional study was conducted using a previously validated questionnaire administered to 235 second- and third-year undergraduate nursing students from two Italian universities. Results: The response rate was 67.3%. Only 40.4% of students felt adequately informed about transplants and brain death, while 12.8% would not authorise organ transplantation for a family member. Willingness to authorise organ procurement from family members in a brain-dead state was positively associated with being atheist or agnostic (χ2 = 7.235; p = 0.022), being in the third year of study (χ2 = 4.282; p = 0.039) and having positive self-assessed knowledge (χ2 = 8.061; p = 0.005). Conclusions: Nursing students exhibited suboptimal knowledge and positive attitudes toward organ and tissue donation. However, there is a need for health policymakers to implement strategies to raise awareness of the importance of organ donation through school and community programmes and public education campaigns.