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Background
The most important and contested element of nursing identity may be the patient-centredness of nursing, though this concept is not well-treated in the nursing identity literature. More conceptually-based mapping of nursing identity constructs are needed to help nurses shape their identity. The field of computational text analytics offers...
Contexts in source publication
Context 1
... total of 234,926 abstracts were obtained. Table 1 provides the counts of abstracts for each period of the analysis. The period 1986-1988 was selected as the first period of the study to allow the study to cover a span of at least a quarter of a century. ...
Context 2
... likelihood percentage gives the percentage of all text blocks in a sub-period that contain the nursing concept. It suggests that, regardless of in- creases in the amount of health services research sug- gested by Table 1, the proportional share of all research that is about nursing is actually a little lower in the last five years (2007( -June 2013 than in the period just before (2001)(2002)(2003)(2004)(2005)(2006)) or indeed even from 1995-2000. That is, if Figure 1 and Table 2 suggest nursing has not been cen- tral to patient, family or community care storylines in the health services research, Table 4 suggests that the nursing concept itself has not been increasing in the growing field of health service literature. ...
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Citations
... The mobilisation of professional identity Leximancer has been used to methodically review literature in other fields-including infection control [64], knowledge management [65], marketing [66], nursing [67], and physical education [68]-it is yet to be used to 'text mine' literature on the mobilisation of professional identity. Leximancer was therefore used because it was fit-for-purpose. ...
Interprofessional care obliges different healthcare professions to share decision-making and sometimes, practices. Given established hierarchies, it can be difficult to promote interprofessional care, partly because of the need to reshape professional identities. Despite interest in effective interprofessional care, there is limited research on how professional identity can be mobilised to promote it. A scoping review as well as lexical review of academic publications was conducted to address this void. After searching seven academic databases and screening the identified publications, 22 publications met the inclusion criteria. They collectively reported on 22 interventions, most of which were used in healthcare. The scoping review suggested there is some evidence that professional identities can be mobilised. Yet, of the 22 interventions, only ten explicitly targeted professional identity. The most common intervention was a training or development program, followed by workplace redesign. The need for internal motivation to mobilise professional identity was reported as was the impact of external drivers, like extending the scope of practice. Extending these findings, the lexical review demonstrated that, among the 22 publications, the relationship between professional identity and mobilisation did not feature prominently within the discourse. Furthermore, it seems that geography matters–that is, while all the publications spoke of professional identity, they differed by region on how they did this. Given these findings, concentrated scholarship is needed on the relationship between professional identity and interprofessional care, lest interprofessional care programs have limited, sustained effect. Implications for scholars and practitioners are explicated.
... A total of 3225 international studies were selected as the probable sample (see Figure 1). The titles and abstracts of the probable samples were collected as indicative evidence of the content of new graduates' nursing competence because titles and abstracts are lexically dense and focused on the core issues presented in articles [18,19]. ...
Producing and sustaining a competent nursing workforce is imperative to protect the public. Identifying current issues and trends in nursing competence can strengthen insights and provide direction for the future nursing workforce. A summative content analysis was performed; PubMed, CINAHL, and Scopus were searched for content from the last ten years. A total of 3225 titles and abstracts regarding nursing competence were identified and analysed using the big-data analysis software Leximancer. Five themes were discovered from the analysis: (1) standardisation of nursing competencies with emerging competencies, (2) assessment competency levels, (3) graduates’ expectations and achievement, (4) safe and quality practice with teamwork, and (5) competency curriculum development. This found standardised nursing competencies, which suggests prioritising which core competencies should be focused on during education to produce competent generalist professional nurses, and employers could help nursing graduates improve their competence in specialised areas. This review also suggests that further education strategies should be developed to better prepare graduates for culturally safe practice to meet the needs of diverse minority populations and for informatics competency during the COVID-19 pandemic. Competence assessment methods must be extensively investigated to measure nursing competencies both longitudinally and cross-sectionally.
... The Leximancer machine learning algorithm has been previously successfully tested for face validity, stability, and reproducibility (Smith, 2003;Smith & Humphreys, 2006;Yarowsky, 1995) with texts corpora between 7538 instances (Yarowsky, 1995) and books of around 250,000 words (Smith & Humphreys, 2006). Our textual corpora are comparable in terms of words' number: -Pre-event members' texts: 293,460 words -Post-event members' texts: 232,441 words -Pre-event community moderators' texts: 1,038,885 words -Post-event community moderators' texts: 287,072 words This analytical approach has been employed in several studies in the healthcare sector (Bell, Campbell, & Goldberg, 2015;Freeman, Cottrell, Kyle, Williams, & Nissen, 2012), in the management field (Rooney et al., 2010;Wilden et al., 2016), in Information Systems (McKenna et al., 2017), and in discourse analysis (Bell et al., 2015;Purchase, Da Silva Rosa, & Schepis, 2016;Rooney, 2005;Rooney et al., 2010). ...
... The Leximancer machine learning algorithm has been previously successfully tested for face validity, stability, and reproducibility (Smith, 2003;Smith & Humphreys, 2006;Yarowsky, 1995) with texts corpora between 7538 instances (Yarowsky, 1995) and books of around 250,000 words (Smith & Humphreys, 2006). Our textual corpora are comparable in terms of words' number: -Pre-event members' texts: 293,460 words -Post-event members' texts: 232,441 words -Pre-event community moderators' texts: 1,038,885 words -Post-event community moderators' texts: 287,072 words This analytical approach has been employed in several studies in the healthcare sector (Bell, Campbell, & Goldberg, 2015;Freeman, Cottrell, Kyle, Williams, & Nissen, 2012), in the management field (Rooney et al., 2010;Wilden et al., 2016), in Information Systems (McKenna et al., 2017), and in discourse analysis (Bell et al., 2015;Purchase, Da Silva Rosa, & Schepis, 2016;Rooney, 2005;Rooney et al., 2010). ...
This study investigates linguistic devices and discursive strategies employed by online social movement organizations (SMOs) in attempts to deinstitutionalize long-standing, institutionalized behaviors. The research draws from an in-depth analysis of public discourse within anti-vaccine online communities in Italy and contributes to the social movement literature on framing and the theory of discursive institutionalization. It employs semi-automated text-analysis methods and interpretive analysis of textual data from seven anti-vaccine social media communities, before and subsequent to the 2017 regulatory intervention of the Italian government to increase vaccination rates. This intervention followed a phase of intense debate centered on the decrease in vaccination coverage and the spread of anti-vaccine ideas in social media as well as in the broader public discourse. The study analyzes the discursive strategies and linguistic devices of community leaders (moderators) and followers (members), and investigates shifts in micro-level online anti-vaccine discursive strategies that developed after the government regulation. The findings suggest that anti-vaccine online SMOs employ specific sets of linguistic devices, namely rhetorical fallacies, that support well-defined discursive strategies such as those aiming to delegitimize actors that endorse vaccines. Furthermore, the evidence shows that these linguistic devices and discursive strategies, after the government regulation, shift from an evidence-based stance towards values and emotions-based argumentations.
... Here, data-driven analytics refer to machine learning and data-driven approaches to generate ideas. Data-driven analytics for idea generation are referred to by other authors as machine-driven data analytics (Vu, 2020) and machine-driven text analytics (Bell et al., 2015). Several machine learning techniques, including supervised and unsupervised learning techniques, were used to help generate ideas, which are presented in the Results chapter. ...
... Therefore, visual analytics, data analytics, and machine learning overlap with computer science. The processing of scholarly articles about health-related data using natural language processing is referred to as machine-driven text analytics (Bell et al., 2015), which is referred to as data-driven analytics in this thesis. On the other hand, machine-driven data analytics is also used as a technique for processing social media data in the context of privacy issues (Vu, 2020), which is also referred to as data-driven analytics in this thesis. ...
... Therefore, in this thesis, idea generation through data-driven analytics includes idea mining, visual analytics, data analytics, social network analysis, machine learning, and AI for generating ideas. Similarly, the processing of scholarly articles using NLP is referred to as machine-driven text analytics (Bell et al., 2015), and the pre-processing of social media data is referred to as machine-driven data analytics (Vu, 2020). Data-driven analytics is applied to scholarly articles to generate and evaluate ideas. ...
The significance and abundance of data are increasing due to the growing digital data generated from social media, sensors, scholarly literature, patents, different forms of documents published online, databases, product manuals, etc. Various data sources can be used to generate ideas, yet, in addition to bias, the size of the available digital data is a major challenge when it comes to manual analysis. Hence, human-machine interaction is essential for generating valuable ideas where machine learning and data-driven techniques generate patterns from data and serve human sense-making. However, the use of machine learning and data-driven approaches to generate ideas is a relatively new area. Moreover, it is also possible to stimulate innovation using contest-driven idea generation and evaluation. The results and contributions of this thesis can be viewed as a toolbox of idea-generation techniques, including a list of data-driven and machine learning techniques with corresponding data sources and models to support idea generation. In addition, the results include two models, one method and one framework, to better support data-driven and contest- driven idea generation. The beneficiaries of these artefacts are practitioners in data and knowledge engineering, data mining project managers, and innovation agents. Innovation agents include incubators, contest organizers, consultants, innovation accelerators, and industries. Since the proposed artefacts consist of process models augmented with AI techniques, human-centred AI is a promising area of research that can contribute to the artefacts' further development and promote creativity.
... Scholarship has often suggested that a nurse's identity is patient-centered (Fagermoen, 1997). However, we now know that this identity is very fluid and dependent upon complex constructs associated with social and cultural values, education, work values, work context, and public image (Bell et al., 2015). More current research also iterates the growing needs around collaborative work practices and team-based organizing in nursing work (Barry et al., 2019). ...
... These interviews call upon scholars to consider how emergent organizing materializes as nurses engage in sensemaking (Weick, 1979;Weick et al., 2005), as they craft their roles, tasks, and relationships during a crisis to make them meaningful and sensible (Wrzesniewski & Dutton, 2001). We propose a conceptual framework based on this that also includes theoretical implications for nursing identity (Bell et al., 2015;Fagermoen, 1997) and resilience (Doerfel et al., 2010;Kendra & Wachtendorf, 2003). Practical implications are also explored. ...
... Our data suggest that by bracketing events [enacting], selecting job crafting techniques, and retaining them, nurses made sense of what was required and implemented improvisations to make their crisis tasks and relationships more plausible. As nurses engaged in sensemaking, they drew upon their nursing identity (Bell et al., 2015;Fagermoen, 1997) which promoted job crafting. Their past knowledge and expertise provided nurses with the confidence to improvise, while their adaptive identity and the expansive mission allowed nurses to make muchneeded technological changes and enabled making spatial adjustments, flexing rules, and providing atypical patient and peer support. ...
Crisis situations may render some roles meaningless or modify the meanings of existing roles. In general, employees participate in job crafting to alter or redefine their tasks and relationships to enhance their meaningfulness. Drawing on Weick’s sensemaking theory, this article explores how nurses working directly with COVID-19 patients participate in job crafting amid a pandemic crisis. It proposes an iterative conceptual framework in which sensemaking via the cycle of enactment, selection, and retention informs job crafting, thus contributing to emergent organizing. This enactment of emergent organizing provides fodder for further sensemaking, which highlights the symbiotic relationship between sensemaking and job crafting. Practically speaking, in order to facilitate sensemaking, job crafting, and organizing, management must acknowledge and impart flexibility, and must be open to impromptu thinking by nurses.
... Unclear and unacceptable image of nursing profession in the society affects professional identity of nurses. The Image of nursing profession perceived by society and culture may influence the formation of attitudes towards the profession, self-concept and the acquisition of professional identity [40,41]. This study emphasizes that modification of thinking in managers, policy makers and nurses as key stakeholders should be considered in order to reach a clear definition of the promotion and to explore the position and professional and social identity of nurses in healthcare team. ...
Background: Job promotion is one of the most important issues in nursing profession.
Objectives: Although, it is more than one hundred years since the beginning of modern nursing education in
Iran, numerous challenges still exist in professional promotion of clinical nurses. Barriers and facilitators of
job promotion are important factors that should be considered for the individual development of nurses and
efficiency increase of healthcare organizations. This study aims to identify and present factors influencing,
barriers and facilitators of nursing job promotion in Iran.
Methods: This qualitative study was conducted in 2017 using individual semi-structured interviews with
twenty-two experts in health and nursing management. The data were analyzed using content analysis based
on Graneheim and Lundman method. The main questions of the interview included the following: ―How is
nursing job promotion done in your organization?‖ and ―What are the barriers and facilitators of job
promotion for nurses?‖
Results: The findings were categorized into six themes and ten categories. Facilitators for job promotion
among nurses included: development of an atmosphere for mutual growth and excellence, lifelong training
program, exploring professional identity in healthcare team & society and fair compensation for the services,
salaries and benefits. Meanwhile, wrong cultural beliefs and barriers, ineffectiveness organizational
regulations were some barriers of nursing job promotion.
Conclusion: Nurses’ motivation is fluctuating due to empowering factors and barriers. Health systems
certainly can institutionalize and perform nursing job promotion solutions through short and long-term
planning on job promotion (such as compensation for the services, encouragement for nurses, organizational
culture improvement, atmosphere change in society and organizational).
... Fourth, although Leximancer has been used to systematically review literature in other fieldsincluding (but not limited to) infection control [43], knowledge management [53], marketing [54], nursing [55], and physical education [45] it is yet to be used to 'text mine' literature on participatory research with Indigenous peoples. Leximancer was therefore used because it was fit-for-purpose, helping to address the aim of this article and ensure the unexpected would be balanced with the expected. ...
Background:
To better understand and promote public health, participatory research with Indigenous peoples represents recommended practice, worldwide. However, due to the different ways such research is referred to, described, and used, it is unclear what might (and might not) warrant the term when collaborating with Indigenous peoples. As such, this article expands conceptual understandings of participatory research with Indigenous peoples, across timelines and regions.
Method:
Following a systematic search of 29 academic databases in April 2018, a lexical analysis of the methods sections was conducted, which were sourced from 161 publications across 107 journals.
Results:
The active involvement of Indigenous peoples in research that is expressly participatory is limited across all project phases. This might be because the ways in which Indigenous peoples were involved throughout were not reported - however, it might also be because Indigenous peoples were not involved in all project phases. Furthermore, descriptions differ by study location and publication timeframe - notably, studies in the region of the Americas chiefly refer to pandemics, surveyors, and art; and those published in the last two decades have given primacy to artifacts of interest.
Conclusions:
Findings from this corpus of data suggest participatory research with Indigenous peoples is not always described across different project phases; furthermore, it differs according to study location and publication timeframe. This offers considerable opportunity to further this important research area via alternative methodologies that award primacy to Indigenous expertise and agency.
... Bibliometric techniques are also being used for opinion mining and sentiment analysis [42] and to explore concepts such as nursing identity and patient-centeredness [43]. Using computation text analysis, Bell, Campbell and Goldberg [43] identified a disconnect between the two concepts, suggesting the text analysis provided a "bird's eye view" and a valuable "scoping method" (p. ...
... Bibliometric techniques are also being used for opinion mining and sentiment analysis [42] and to explore concepts such as nursing identity and patient-centeredness [43]. Using computation text analysis, Bell, Campbell and Goldberg [43] identified a disconnect between the two concepts, suggesting the text analysis provided a "bird's eye view" and a valuable "scoping method" (p. 14), as opposed to the depth of analysis in, for example, a systematic review. ...
Background:
Intensive care nurse wellbeing is essential to a healthy healthcare workforce. Enhanced wellbeing has widespread benefits for workers. Bibliometrics enables quantitative analysis of bourgeoning online data. Here, a new model is developed and applied to explore empirical knowledge underpinning wellbeing and intensive care nurse wellbeing in terms of size and impact, disciplinary reach, and semantics.
Methods:
Mixed methods bibliometric study. Firstly, a new model coined 'iAnalysis' was developed for the analysis of published data. Secondly, iAnalysis was applied in two studies to examine wellbeing and ICU nurse wellbeing. Study one explored data from a title search with search terms [wellbeing OR well-being], identifying 17,543 records with bibliographic data. This dataset included 20,526 keywords. Of the identified records, 10,715 full-text manuscripts were retrieved. Study two explored data from a topic search with search terms [(intensive OR critical) AND (nurs*) AND (wellbeing OR well-being)], identifying 383 records with bibliographic data. This dataset included 1223 author keywords. Of the identified records, 328 full-text manuscripts were retrieved.
Results:
Once data were collected, for size and impact, WoS Clarivate Analytics™ and RStudio™ were used to explore publication dates, frequencies, and citation performance. For disciplinary reach, RStudio™ (with the Bibliometrics™ package & Vosviewer™ plugin) was used to explore the records in terms of country of publication, journal presence, and mapping of authors. For semantics, once the bibliographic data was imported to RStudio™ (with the Bibliometrics™ package & Vosviewer™ plugin) keyword co-occurrences were identified and visualised. Full-text manuscripts were imported to NVivo™ to explore word frequencies of both the keywords and full-text manuscripts using the word frequency search. For both studies, records were predominantly published in the past 5 years, in English language, and from USA. The highest keyword co-occurrence for study one was "health and well-being", and for study two, "family and model".
Conclusions:
Terms commonly associated with 'illbeing', as opposed to 'wellbeing', were highly prevalent in both study datasets, but more so in intensive care nurse wellbeing data. Intensive care nurse wellbeing was virtually absent in this literature. The iAnalysis model provided a practice-friendly tool to explore a large source of online published literature.
... Scientific articles available through PubMed (https://www.ncbi.nlm.nih.gov/pubmed), are basically generated using fully standardized mechanisms, and have been around for several studies, including cancer research [3,4], human genetic association [5], health services [6], and protein complexes [7]. While such a scientific papers' repository has been incorporated in a list of computerized text mining methods in disease association studies, the use of PubMed integrated with text mining techniques have not yet met enough. ...
... Ces tensions se comprennent sans doute mieux à partir d'une perspective sociohistorique. La professionnalisation des soins infirmiers s'explique notamment par le transfert du cursus de formation des futures infirmières au sein des institutions d'enseignement universitaire, ainsi que par le développement conjoint de recherches, de théories et de pratiques spécifiques à la profession (20,24). Cette dynamique a donné ouverture à la création de programmes de baccalauréat, de maîtrise et de doctorat en sciences infirmières au sein de différents pays (20). ...
The scientific legitimacy of nursing research depends on its adherence to different scientific criteria. Despite the lack of consensus on predetermined criteria, reflexivity is widely discussed as a strategy to establish rigour in qualitative research. Unfortunately, with the exception of tools such as the reflexive journal, little is said about how reflexivity can be completed. Several recent studies suggest the relevance of autoethnography to support the reflexive approach of nurse researchers. Inspired by the findings of an autoethnography and a narrative literature review, this article examines how this approach can contribute to the reflexivity of the nurse researcher. Autoethnography seems particularly adapted to the professional and academic context in which many nurses evolve. As a reflective tool, autoethnography can promote the development of the researcher's self-awareness, provide analytical tools to help better understand the influence of previous experiences on the relationship to research and report on the transition between different professional identities. In order to contribute to the debate on the use of autoethnography in qualitative research, central elements to this approach are discussed.
