Strategies used by nurse leaders to support the delivery of falls prevention practices in hospitals.

Despite prevention efforts, falls in hospital are a common and ongoing safety concern, with older people more likely to fall and experience harm as a result of falls. Clinical guidelines recommend multifactorial falls risk assessment and multidomain, personalised interventions to reduce falls risks in hospitals. This article reflects on findings from a multi-site study on the implementation of multifactorial falls prevention practices that informed the development of actionable guidance. The discussion focuses on strategies used by nurse leaders, at different levels of seniority, that shaped practice on orthopaedic and older person wards. While falls risk assessment documentation was monitored routinely by senior leaders, in practice falls prevention often relied on risk screening and enhanced patient supervision. Findings suggest that nurses need to be empowered to lead practices that modify and mitigate individual falls risks where possible, with greater multidisciplinary and patient and carer involvement.

Exploring variation in implementation of multifactorial falls risk assessment and tailored interventions: a realist review.

BACKGROUND: Falls are the most common safety incident reported by acute hospitals. In England national guidance recommends delivery of a multifactorial falls risk assessment (MFRA) and interventions tailored to address individual falls risk factors. However, there is variation in how these practices are implemented. This study aimed to explore the variation by examining what supports or constrains delivery of MFRAs and tailored interventions in acute hospitals. METHODS: A realist review of literature was conducted with searches completed in three stages: (1) to construct hypotheses in the form of Context, Mechanism, Outcome configurations (CMOc) about how MFRAs and interventions are delivered, (2) to scope the breadth and depth of evidence available in Embase to test the CMOcs, and (3) following prioritisation of CMOcs, to refine search strategies for use in multiple databases. Citations were managed in EndNote; titles, abstracts, and full texts were screened, with 10% independently screened by two reviewers. RESULTS: Two CMOcs were prioritised for testing labelled: Facilitation via MFRA tools, and Patient Participation in interventions. Analysis indicated that MFRA tools can prompt action, but the number and type of falls risk factors included in tools differ across organisations leading to variation in practice. Furthermore, the extent to which tools work as prompts is influenced by complex ward conditions such as changes in patient condition, bed swaps, and availability of falls prevention interventions. Patient participation in falls prevention interventions is more likely where patient directed messaging takes individual circumstances into account, e.g., not wanting to disturb nurses by using the call bell. However, interactions that elicit individual circumstances can be resource intensive and patients with cognitive impairment may not be able to participate despite appropriately directed messaging. CONCLUSIONS: Organisations should consider how tools can be developed in ways that better support consistent and comprehensive identification of patients' individual falls risk factors and the complex ward conditions that can disrupt how tools work as facilitators. Ward staff should be supported to deliver patient directed messaging that is informed by their individual circumstances to encourage participation in falls prevention interventions, where appropriate. TRIAL REGISTRATION: PROSPERO: CRD42020184458.

Researching nurses' use of digital technology during the COVID-19 pandemic.

The adoption of digital technology by nurses accelerated during the coronavirus disease 2019 (COVID-19) pandemic. However, not all nurses were familiar with the various digital systems used in their organisations and there were reports of digital technology not being fit for purpose. This article describes a service evaluation that used an online survey to obtain nurses' feedback on the digital systems used to support patient care during the pandemic. Fifty-five respondents provided details about 85 separate digital systems. The usability of these systems varied significantly across technology types, while barriers to their use included nurses' lack of digital literacy and inadequate access to IT infrastructure. However, most of the nurse respondents felt that digital technology had supported effective patient care during the COVID-19 pandemic.

Designing health IT to support falls prevention in hospitals: Findings from a realist review.

Inpatient falls are an international patient safety concern, accounting for 30-40% of reported safety incidents in acute hospitals. They can cause both physical (e.g. hip fractures) and non-physical harm (e.g. reduced confidence) to patients. We used an approach known as a realist review to identify theories about what interventions might work for whom in what contexts, focusing on what supports and constrains effective use of multifactorial falls risk assessment and falls prevention interventions. One of these theories suggested that staff will integrate recommended practices into their work routines if falls risk assessment tools, including health IT, are quick and easy to use and facilitate existing work routines. Synthesis of empirical studies undertaken in the process of testing and refining this theory has implications for the design of health IT, suggesting that while health IT can support falls prevention through automation, such tools should also allow for incorporation of clinical judgement.

What supports and constrains the implementation of multifactorial falls risk assessment and tailored multifactorial falls prevention interventions in acute hospitals? Protocol for a realist review.

INTRODUCTION: Falls are the most common type of safety incident reported by acute hospitals and can cause both physical (eg, hip fractures) and non-physical harm (eg, reduced confidence) to patients. It is recommended that, in order to prevent falls in hospital, patients should receive a multifactorial falls risk assessment and be provided with a multifactorial intervention, tailored to address the patient's identified individual risk factors. It is estimated that such an approach could reduce the incidence of inpatient falls by 25%-30% and reduce the annual cost of falls by up to 25%. However, there is substantial unexplained variation between hospitals in the number and type of assessments undertaken and interventions implemented. METHODS AND ANALYSIS: A realist review will be undertaken to construct and test programme theories regarding (1) what supports and constrains the implementation of multifactorial falls risk assessment and tailored multifactorial falls prevention interventions in acute hospitals; and (2) how, why, in what contexts and for whom tailored multifactorial falls prevention interventions lead to a reduction in patients' falls risk. We will first identify stakeholders' theories concerning these two topics, searching Medline (1946-present) and Medline In-Process & Other Non-Indexed Citations, Health Management Information Consortium (1983-present) and CINAHL (1981-present). We will then test these theories systematically, using primary studies to determine whether empirical evidence supports, refutes or suggests a revision or addition to the identified theories. ETHICS AND DISSEMINATION: The study does not require ethical approval. The review will provide evidence for how to implement multifactorial falls risk assessment and prevention strategies in acute hospital settings. This will be disseminated to academic and clinical audiences and will provide the basis for a future multi-site study through which the theories will be further refined. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42020184458.

Toward a Harmonized WHO Family of International Classifications Content Model.

An overarching WHO-FIC Content Model will allow uniform modeling of classifications in the WHO Family of International Classifications (WHO-FIC) and promote their joint use. We provide an initial conceptualization of such a model.