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      Personal and technological skills to coach people with noncommunicable diseases: development and validation of a scale for nursing students

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          Abstract

          Background

          Current international policies converge to the need of empowering patients and families in becoming more autonomous in the self-caring and management of their noncommunicable diseases (NCDs). Given their professional scope, nurses are the most well-positioned health professionals to answer this societal challenge. In the literature, health coaching and the use of information and communication technologies (ICTs) emerge as two still under-used contributions to nursing practice in this regard. Given the lack of instruments and research developed so far in the use of health coaching and ICTs during nurses training, we aim to develop a scale that explores nursing students’ perceptions regarding their coaching skills of people with NCDs and the potential role of ICTs in this domain.

          Methods

          After a comprehensive literature review, an initial items list (n = 39) was delineated and discussed by a panel of international experts. After conceptual and structural consensus, the pre-validated version of the Personal and Technological Skills to coach people with noncommunicable diseases scale (PTSC-NCD scale) was created. Then, the pre-validated PTSC-NCD scale was translated to Portuguese, Finnish, Flemish and Slovenian following Beaton and colleagues’ recommendations, and applied to undergraduate nursing students in five European universities. Principal component analysis and reliability analysis were performed in each country through the statistical program Statistical Package for the Social Sciences (version 22.0). All ethical assumptions were complied with throughout this study.

          Results

          874 nursing students enrolled in the study, predominantly female (71.1%) and with a mean age of 22.4 years (SD = 5.49). After data analysis across international settings, three dimensions emerged: Coaching Centred Personal Skills (F1); Digital Technology Improving Patient-Centred Care (F2); and Digital Technology Improving Relational Skills (F3). All the dimensions showed good reliability (Cronbach's alpha >.80).

          Conclusion

          The PTSC-NCD scale evidence good validity and reliability indicators across different international settings.

          Abstract

          Students, Nursing, Technology, Coaching, Noncommunicable diseases.

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          Most cited references24

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          Guidelines for the Process of Cross-Cultural Adaptation of Self-Report Measures

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            Using Multivariate Statistics

            A Practical Approach to using Multivariate Analyses Using Multivariate Statistics , 6th edition provides advanced undergraduate as well as graduate students with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics. This text's practical approach focuses on the benefits and limitations of applications of a technique to a data set - when, why, and how to do it. Learning Goals Upon completing this book, readers should be able to: Learn to conduct numerous types of multivariate statistical analyses Find the best technique to use Understand Limitations to applications Learn how to use SPSS and SAS syntax and output
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              Principled missing data methods for researchers

              The impact of missing data on quantitative research can be serious, leading to biased estimates of parameters, loss of information, decreased statistical power, increased standard errors, and weakened generalizability of findings. In this paper, we discussed and demonstrated three principled missing data methods: multiple imputation, full information maximum likelihood, and expectation-maximization algorithm, applied to a real-world data set. Results were contrasted with those obtained from the complete data set and from the listwise deletion method. The relative merits of each method are noted, along with common features they share. The paper concludes with an emphasis on the importance of statistical assumptions, and recommendations for researchers. Quality of research will be enhanced if (a) researchers explicitly acknowledge missing data problems and the conditions under which they occurred, (b) principled methods are employed to handle missing data, and (c) the appropriate treatment of missing data is incorporated into review standards of manuscripts submitted for publication.
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                Author and article information

                Contributors
                Journal
                Heliyon
                Heliyon
                Heliyon
                Elsevier
                2405-8440
                02 February 2021
                February 2021
                02 February 2021
                : 7
                : 2
                : e06140
                Affiliations
                [a ]Health Sciences Research Unit: Nursing, Nursing School of Coimbra, 3004-011 Coimbra, Portugal
                [b ]Department of Nursing, Faculty of Health Sciences, University of Ljubljana, 1000 Ljubljana, Slovenia
                [c ]North Karelia University of Applied Sciences, 80200 Karelia, Finland
                [d ]Thomas Moore Kempen, 2300 Turnhout, Belgium
                [e ]Department of Nursing, Tampere University of Applied Sciences, 33520 Tampere, Finland
                Author notes
                []Corresponding author. paulocosta@ 123456esenfc.pt
                [∗∗ ]Corresponding author. parreira@ 123456esenfc.pt
                Article
                S2405-8440(21)00245-0 e06140
                10.1016/j.heliyon.2021.e06140
                7889991
                2b54815e-b273-47e0-aed4-46af37abbcd5
                © 2021 Published by Elsevier Ltd.

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 16 March 2020
                : 1 November 2020
                : 27 January 2021
                Categories
                Research Article

                students,nursing,technology,coaching,noncommunicable diseases

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