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Aim: To explore the published evidence describing the impact of short‐notice accreditation assessments on hospitals' patient safety and quality culture. Design: Arksey and O'Malley (2005)'s scoping study framework and Preferred Reporting Items for Systematic Reviews and Meta‐Analysis Extension for Scoping reviews (PRISMA‐ScR). Methods: A scoping review was conducted to identify papers that provided an evaluation of short‐notice accreditation processes. All reviewers independently reviewed included papers and thematic analysis methods were used to understand the data. Data Sources: PubMed/MEDLINE, CINAHL, and ProQuest databases were searched to identify papers published after 2000. Results: Totally, 3317 records were initially identified with 64 full‐text studies screened by the reviewers. Five studies were deemed to meet this scoping review's inclusion criteria. All five studies reported variable evidence on the validity of health service or hospital accreditation processes and only three considered the concept of patient safety and quality culture in the context of accreditation. None of the five included studies report the impact of a short‐notice accreditation process on a hospital's patient safety and quality culture. Conclusions: Limited evidence exists to report on the effectiveness of hospital short‐notice accreditation models. No study has been undertaken to understand the impact of short‐notice accreditation on patient safety and quality cultures within hospital settings. Implications for the Profession and/or Patient Care: Understanding this topic will support improved hospital quality, safety, policy, and governance. Impact: To provide an understanding of the current knowledge base of short‐notice accreditation models and its impact on hospital patient safety and quality culture. Reporting Methods: PRISMA reporting guidelines have been adhered to. Patient or Public Contribution: No patient or public contribution. [ABSTRACT FROM AUTHOR]

Objective To identify factors influencing implementation of machine learning algorithms (MLAs) that predict clinical deterioration in hospitalized adult patients and relate these to a validated implementation framework. Materials and methods A systematic review of studies of implemented or trialed real-time clinical deterioration prediction MLAs was undertaken, which identified: how MLA implementation was measured; impact of MLAs on clinical processes and patient outcomes; and barriers, enablers and uncertainties within the implementation process. Review findings were then mapped to the SALIENT end-to-end implementation framework to identify the implementation stages at which these factors applied. Results Thirty-seven articles relating to 14 groups of MLAs were identified, each trialing or implementing a bespoke algorithm. One hundred and seven distinct implementation evaluation metrics were identified. Four groups reported decreased hospital mortality, 1 significantly. We identified 24 barriers, 40 enablers, and 14 uncertainties and mapped these to the 5 stages of the SALIENT implementation framework. Discussion Algorithm performance across implementation stages decreased between in silico and trial stages. Silent plus pilot trial inclusion was associated with decreased mortality, as was the use of logistic regression algorithms that used less than 39 variables. Mitigation of alert fatigue via alert suppression and threshold configuration was commonly employed across groups. Conclusions : There is evidence that real-world implementation of clinical deterioration prediction MLAs may improve clinical outcomes. Various factors identified as influencing success or failure of implementation can be mapped to different stages of implementation, thereby providing useful and practical guidance for implementers. [ABSTRACT FROM AUTHOR]

Aims: The aim of this concept analysis was to develop a contemporary operational definition of Clinical Judgement in nursing. Design: Concept analysis. Methods: Rodgers' evolutionary method of concept analysis. Throughout the study, the authors followed the SRQR checklist. Results: This concept analysis guided the development of an operational definition of clinical judgement, within the context of nursing, articulated as Clinical judgement is a reflective and reasoning process that draws upon all available data, is informed by an extensive knowledge base and results in the formation of a clinical conclusion. Conclusion: The purpose of this concept analysis was to propose a detailed definition of clinical judgement in nursing, that reflected its theoretical base within today's contemporary healthcare system. Using Rodgers' evolutionary method of concept analysis, surrogate terms, attributes, antecedents and consequences were identified, and a contemporary definition was developed. No patient or public contribution was required to design or undertake this research. [ABSTRACT FROM AUTHOR]

Background: Early warning systems (EWS) are used across health care settings as a tool for the early identification of clinical deterioration and to determine the need to escalate care. Early detection of clinical deterioration and appropriate escalation of care in maternity settings is critical to the safety of pregnant women and infants; however, underutilization of EWS tools and reluctance to escalate care have been consistently reported. Little is known about midwives' use of EWS in the Australian context. Methods: Using a cross‐sectional approach, we elicited the attitudes, beliefs, and behaviors of a purposive sample of Australian midwives (n = 87) with respect to the Maternal Early Warning Trigger Tool (MEWT). Participants answered a 25‐question Likert scale survey and one open‐ended question. Qualitative answers were analyzed using consensus coding. Results: Midwives reported positive attitudes toward the MEWT, describing it as a valuable tool for identifying clinical deterioration, especially when used as an adjunct to clinical judgment. However, midwives also identified training gaps; 25% had received no training, and only half of those who had received training felt it was effective. In addition, professional tension can create a significant barrier to the effective use of the MEWT. Midwives also reported feeling influenced by their peers in their decision‐making with respect to use of the MEWT and being afraid they would be chastised for escalating care unnecessarily. Conclusions: Although the MEWT is valued by Australian midwives as a useful tool, barriers exist to its effective use. These include a lack of adequate, ongoing training and professional tension. Improving interdisciplinary collaboration could enhance the use of this tool for the safety of birthing women and their infants. [ABSTRACT FROM AUTHOR]

Objective: To identify factors influencing implementation of machine learning algorithms (MLAs) that predict clinical deterioration in hospitalized adult patients and relate these to a validated implementation framework., Materials and Methods: A systematic review of studies of implemented or trialed real-time clinical deterioration prediction MLAs was undertaken, which identified: how MLA implementation was measured; impact of MLAs on clinical processes and patient outcomes; and barriers, enablers and uncertainties within the implementation process. Review findings were then mapped to the SALIENT end-to-end implementation framework to identify the implementation stages at which these factors applied., Results: Thirty-seven articles relating to 14 groups of MLAs were identified, each trialing or implementing a bespoke algorithm. One hundred and seven distinct implementation evaluation metrics were identified. Four groups reported decreased hospital mortality, 1 significantly. We identified 24 barriers, 40 enablers, and 14 uncertainties and mapped these to the 5 stages of the SALIENT implementation framework., Discussion: Algorithm performance across implementation stages decreased between in silico and trial stages. Silent plus pilot trial inclusion was associated with decreased mortality, as was the use of logistic regression algorithms that used less than 39 variables. Mitigation of alert fatigue via alert suppression and threshold configuration was commonly employed across groups., Conclusions: : There is evidence that real-world implementation of clinical deterioration prediction MLAs may improve clinical outcomes. Various factors identified as influencing success or failure of implementation can be mapped to different stages of implementation, thereby providing useful and practical guidance for implementers., (© The Author(s) 2023. Published by Oxford University Press on behalf of the American Medical Informatics Association.)

Background: Early warning systems (EWS) are used across health care settings as a tool for the early identification of clinical deterioration and to determine the need to escalate care. Early detection of clinical deterioration and appropriate escalation of care in maternity settings is critical to the safety of pregnant women and infants; however, underutilization of EWS tools and reluctance to escalate care have been consistently reported. Little is known about midwives' use of EWS in the Australian context., Methods: Using a cross-sectional approach, we elicited the attitudes, beliefs, and behaviors of a purposive sample of Australian midwives (n = 87) with respect to the Maternal Early Warning Trigger Tool (MEWT). Participants answered a 25-question Likert scale survey and one open-ended question. Qualitative answers were analyzed using consensus coding., Results: Midwives reported positive attitudes toward the MEWT, describing it as a valuable tool for identifying clinical deterioration, especially when used as an adjunct to clinical judgment. However, midwives also identified training gaps; 25% had received no training, and only half of those who had received training felt it was effective. In addition, professional tension can create a significant barrier to the effective use of the MEWT. Midwives also reported feeling influenced by their peers in their decision-making with respect to use of the MEWT and being afraid they would be chastised for escalating care unnecessarily., Conclusions: Although the MEWT is valued by Australian midwives as a useful tool, barriers exist to its effective use. These include a lack of adequate, ongoing training and professional tension. Improving interdisciplinary collaboration could enhance the use of this tool for the safety of birthing women and their infants., (© 2022 The Authors. Birth published by Wiley Periodicals LLC.)