The assessment of interprofessional practice in mental health nursing with ethnographic observation and social network analysis: a confirmatory and bibliometric network study using VOSviewer.
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引用次数: 2
Abstract
INTRODUCTION Despite numerous techniques for assessing mental health nursing abilities and accomplishments, most practice in psychiatric wards is based on observable clinical behaviours and actions. VOSviewer can perform bibliographic network analysis (BNA), extracting all central topics that identify core behavioural skills in mental health nursing and essential elements in interprofessional practice (IPP). AIM The current study captures the critical concepts in mental health nursing assessment by performing a BNA of essential topics on ethnography, social network analysis, and interprofessional care. METHODS A qualitative BNA with a VOSviewer extracted relevant topics from a total of 542 articles obtained from Microsoft API. A subsequent confirmatory quantitative analysis with NVIVO weighed the percentages of the relevant issues and words extracted by the VOSviewer. Boolean keywords searched were 'ethnography,' 'social network analysis,' 'interprofessional', 'psychiatry' and 'hospital'. RESULTS Major themes identified in ethnography, IPP, and social network analysis for nursing assessment were those of 'communication' (11.63%), 'whole' (9.29%), 'knowledge' (7.66%), 'person' (7.52%), 'activity' (6.31%) and 'collaboration' (6.10%). DISCUSSION The current study has proven the value of BNA in extracting relevant topics in target literature. VOSviewer captured salient issues in mental health nursing assessment, including ethnographic observations, social network analysis, and IPP. The results confirmed the value of focusing on collaborative care, reciprocity, knowledge management, and information sharing in assessing mental health nursing performances.
期刊介绍:
Gli interessi della rivista riguardano l’approfondimento delle interazioni tra mente e malattia, la validazione e la discussione dei nuovi strumenti e parametri di classificazione diagnostica, la verifica delle prospettive terapeutiche farmacologiche e non.