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Innovations in Precision Nursing: Patient-Centric Care and Technological Advancements

A special issue of Healthcare (ISSN 2227-9032). This special issue belongs to the section "Nursing".

Deadline for manuscript submissions: 31 December 2024 | Viewed by 979

Special Issue Editors

School of Nursing, University of Bologna, AUSL Romagna, 40121 Bologna, Italy
Interests: nursing

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Guest Editor
1. Department of Mathematics and Physics, University of Salento, Lecce, Italy
2. DReAM (Laboratorio Diffuso di Ricerca Interdisciplinare Applicata alla Medicina), 73100 Lecce, Italy
Interests: artificial intelligence in medicine
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In the evolving field of healthcare, precision nursing stands at the forefront, emphasizing the integration of patient-centric care with cutting-edge technological advancements. This approach not only tailors healthcare practices to the individual needs of patients but also incorporates innovative tools and methodologies to enhance care delivery and outcomes. Recognizing the pivotal role of nursing in achieving this integration, we are focusing on breakthroughs in precision nursing that leverage both the art of caregiving and the science of technology.

Outcome measures, traditionally used to assess the effectiveness of interventions in rehabilitation, are equally critical in the context of precision nursing. They enable healthcare professionals to evaluate the characteristics and progress of patients, influencing the personalized care plans that are central to patient-centric care.

However, the diversity of tools and lack of standardization across different cultural contexts present challenges in ensuring consistent and effective patient care and research.

Given these challenges, our Special Issue titled "Innovations in Precision Nursing: Patient-Centric Care and Technological Advancements" seeks to address the need for more suitable tools and methods that can be adapted to various cultural contexts. We aim to explore the intersection of nursing with innovative technologies such as data analysis, artificial intelligence, and other digital health tools, which are revolutionizing the way in which patient care is delivered and assessed.

We invite clinicians and researchers to contribute evidence-based recommendations, review articles that outline the current state of the art, and validation studies that culturally adapt existing assessment tools. Contributions may also provide new insights into the psychometric properties of these tools, enhancing their applicability in precision nursing.

Areas of interest for this Special Issue include, but are not limited to, the following:

  • Systematic reviews and meta-analyses of nursing assessment tools, especially those incorporating technological advancements.
  • Validation and psychometric studies of existing and new nursing assessment tools.
  • Comparative studies on the effectiveness of traditional vs. technology-enhanced nursing interventions. Cross-sectional studies for the cultural adaptation of nursing assessment tools, with a focus on incorporating patient-centric care principles.
  • Innovative applications of data analysis and artificial intelligence in nursing practice, which aim to improve patient outcomes and care efficiency.

Our goal is to foster the development of nursing practice and research that is not only practical and appropriate across different cultural contexts but also enriched with technological innovations. Such advancements will enable high-quality comparisons and meta-analyses, ultimately benefiting patients, researchers, and clinicians alike.

We look forward to receiving your insightful contributions to this important field.

Dr. Ivan Rubbi
Dr. Luana Conte
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Healthcare is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • precision nursing
  • data analysis in nursing
  • artificial intelligence in nursing
  • digital health
  • nursing personalized nursing interventions

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Published Papers (1 paper)

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Research

0 pages, 501 KiB  
Article
Nursing Attitudes Questionnaire: Testing the Psychometric Characteristics of the Italian Version (NAQ-IV)
by Ivan Rubbi, Luana Conte, Gianandrea Pasquinelli, Paola Ferri, Elsa Vitale, Roberto Lupo and Valeria Cremonini
Healthcare 2024, 12(14), 1366; https://doi.org/10.3390/healthcare12141366 - 9 Jul 2024
Viewed by 723
Abstract
Introduction: The image of a nurse is a source of concern due to its impact on recruitment into the profession, political decisions about the profession, and how the image affects nursing practice. For these reasons, one of the long-term challenges is to assess [...] Read more.
Introduction: The image of a nurse is a source of concern due to its impact on recruitment into the profession, political decisions about the profession, and how the image affects nursing practice. For these reasons, one of the long-term challenges is to assess and maintain a favorable public image that respects the utility and value of the nursing profession. Aim: This study aims to validate an instrument for assessing the image of the nurse as perceived by Italian citizens. Methods: A non-probabilistic sample of 564 people participated in the study between 2022 and 2023. Sociodemographic information of the Italian citizens was collected, and the instrument used to evaluate the perceived public image was the Nursing Attitudes Questionnaire (NAQ). The psychometric properties of the Italian version of the NAQ (NAQ-IV) were calculated using Cronbach’s alpha, item–total correlations, skewness, and kurtosis. Factor analysis was performed using principal axis factoring and the varimax rotation method. Results: Factor analysis revealed a four-factor model explaining more than 60.52% of the variance, with the largest variance explained by the “Role and Professionalism” factor (34.08%). The internal consistency calculation showed a Cronbach’s alpha of 0.89 for the scale and between 0.88 and 0.89 among the factors; all the items verified the item–total correlation and response variability criteria. Conclusions: The NAQ-IV could be a valid tool for assessing the perception of Italian citizens. However, further studies are recommended to evaluate the reliability of the instrument, especially in the evolving professional profile and social health welfare. Full article
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