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2.
Int J Nurs Stud ; 158: 104846, 2024 Oct.
Article in English | MEDLINE | ID: mdl-39043112

ABSTRACT

BACKGROUND: Systematic adoption of early warning systems in healthcare settings is dependent on the optimal and reliable application by the user. Psychosocial issues and hospital culture influence clinicians' patient safety behaviours. OBJECTIVE: (i) To examine the sociocultural factors that influence nurses' EWS compliance behaviours, using a theory driven behavioural model and (ii) to propose a conceptual model of sociocultural factors for EWS compliance behaviour. DESIGN: A cross-sectional survey. SETTING: Nurses employed in public hospitals across Queensland, Australia. PARTICIPANTS: Using convenience and snowball sampling techniques eligible nurses accessed a dedicated web site and survey containing closed and open-ended questions. 291 nurses from 60 hospitals completed the survey. METHODS: Quantitative data were analysed using ANOVA or t-tests to test differences in means. A series of path models based on the theory were conducted to develop a new model. Directed or theory driven content analysis informed qualitative data analysis. RESULTS: Nurses report high levels of previous compliance behaviour and strong intentions to continue complying in the future (M=4.7; SD 0.48). Individual compliance attitudes (ß 0.29, p<.05), perceived value of escalation (ß 0.24, p<.05) and perceived ease or difficulty complying with documentation (ß -0.31, p<.05) were statistically significant, predicting 24% of variation in compliance behaviour. Positive personal charting beliefs (ß 0.14, p<.05) and subjective norms both explain higher behavioural intent indirectly through personal attitudes. High ratings of peer charting beliefs indirectly explain attitudes through subjective norms (ß 0.20, p<.05). Perceptions of control over one's clinical actions (ß -0.24, p<.05) and early warning system training (ß -0.17, p<.05) directly contributed to fewer difficulties complying with documentation requirements. Prior difficulties when escalating care (ß -0.31, p<.05) directly influenced the perceived value of escalating. CONCLUSIONS: The developed theory-based conceptual model identified sociocultural variables that inform compliance behaviour (documenting and escalation protocols). The model highlights areas of clinical judgement, education, interprofessional trust, workplace norms and cultural factors that directly or indirectly influence nurses' intention to comply with EWS protocols. Extending our understanding of the sociocultural and system wide factors that hamper nurses' use of EWSs and professional accountability has the potential to improve the compliance behaviour of staff and subsequently enhance the safety climate attitudes of hospitals. TWEETABLE ABSTRACT: A newly developed model reports nurse's personal attitudes, peer influence, perceived difficulties encountered documenting and escalation beliefs all predict early warning system compliance behaviour.


Subject(s)
Clinical Deterioration , Nursing Staff, Hospital , Humans , Cross-Sectional Studies , Queensland , Adult , Nursing Staff, Hospital/psychology , Guideline Adherence , Female , Male , Middle Aged , Attitude of Health Personnel , Surveys and Questionnaires
3.
Issues Ment Health Nurs ; : 1-14, 2024 Jul 15.
Article in English | MEDLINE | ID: mdl-39008815

ABSTRACT

Encompassing many crafts, needlecraft has been popular, particularly amongst women, for centuries. This scoping review mapped and explored primary research on sewing, crocheting, knitting, lacemaking, embroidery and quilting and its impact on mental health and well-being. A comprehensive systematic search across PubMed, CINAHL, Scopus and Google Scholar was conducted in January 2024, identifying 25 studies that met the inclusion criteria. Four themes (and 15 subthemes) emerged from the data: (1) mental well-being; (2) social connection, sense of value and belonging; (3) sense of purpose, achievement and satisfaction; and (4) self-identity, family, culture and legacy. The review showed that needlecraft has an overwhelmingly positive effect on mental health and general well-being. This scoping review may be used to inform mental health nurses and other professionals of the benefits of needlecraft for a wide variety of consumers and may also find application in the well-being of healthcare workers.

5.
Aust Crit Care ; 2024 Jun 05.
Article in English | MEDLINE | ID: mdl-38845286

ABSTRACT

BACKGROUND: Algorithmic tools such as early warning systems (EWSs) have been embedded into clinical practice globally to facilitate the early recognition of patient deterioration and to guide the escalation of care. Concerns have been raised that the mandated use of these EWS tools may impact the development of nurses' higher-order thinking. However, the relationship between EWS tools and the development of higher-order thinking is poorly understood. OBJECTIVES: This paper provides the qualitative results of a larger study that sought to explore the impact of EWS tools on the development of nurses' higher-order thinking. The objective of this component of the study was to ascertain the thoughts and perceptions of nurses on the use of EWSs and how this related to the development of higher-order thinking skills. METHODS: A mixed-method, concurrent study design was used to explore the concept of the development of nurses' higher-order thinking in the context of EWS tools. The qualitative responses from a Qualtrics survey were thematically analysed and presented. FINDINGS: Two major themes were uncovered: White Lies and Safety Nets. Our analysis of the data suggested that some nurses amend their documentation practice to accommodate the EWS's escalation process, uncovering a view that the tool did not account for clinical reasoning. Parallel to this, some nurses found that these systems supported clinical decision-making and helped to build confidence, thus acting as a safety net for their practice. CONCLUSION: Reliance on EWSs can both hinder and/or support the development of higher-order thinking. Early warning systems are useful tools in ensuring patient safety but should be used in conjunction with nurses' higher-order thinking.

11.
Aust J Rural Health ; 31(3): 385-394, 2023 Jun.
Article in English | MEDLINE | ID: mdl-36802114

ABSTRACT

INTRODUCTION: Physiological signs of clinical deterioration are known to occur in the hours preceding a serious adverse event. As a result, track and trigger systems known as early warning systems (EWS) were introduced and routinely implemented as patient observation tools to trigger an alert in the presence of abnormal vital signs. OBJECTIVE: The objective aimed to explore the literature pertaining to EWS and their utilisation in rural, remote and regional health care facilities. DESIGN: The Arksey and O'Malley's methodological framework was used to guide the scoping review. Only studies reporting on rural, remote and regional health care settings were included. All four authors participated in the screening, data extraction and analysis process. FINDINGS: Our search strategy yielded 3869 peer-reviewed articles published between 2012 and 2022, with six studies ultimately included. Collectively, the studies included in this scoping review examined the complex interaction between patient vital signs observation charts and recognition of patient deterioration. DISCUSSION: Whilst rural, remote and regional clinicians use EWS to recognise and respond to clinical deterioration, noncompliance dilutes the tool's effectiveness. This overarching finding is informed by three contributing factors: documentation, communication and challenges specific to the rural context. CONCLUSION: The success of EWS relies on accurate documentation and effective communication within the interdisciplinary team to support appropriate responses to clinical patient decline. More research is required to understand the nuances and complexities of rural and remote nursing and to address challenges associated with the use of EWS in rural health care settings.


Subject(s)
Clinical Deterioration , Nurses , Humans , Vital Signs , Delivery of Health Care
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