Networked information technologies and patient safety: a protocol for a realist synthesis

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.

Oral health interventions for older people in residential aged care facilities: a protocol for a realist systematic review

INTRODUCTION

Poor oral health among older people is a global problem impacting on health and well-being. The economic cost to the health system is significant. An ageing population is intensifying the urgency for action. However, poor oral health, particularly for those in residential aged care facilities, continues to be highly resistant to resolution. The overall aims of this realist review are to: (A) explore and synthesise evidence on oral health interventions for older people in residential aged care facilities, (B) produce a causal theory on how contextual factors and mechanisms interact to produce outcomes, and (C) produce guidelines/policies to inform high-quality oral health interventions to improve older people's oral health in residential aged care facilities.

METHODS AND ANALYSIS

The review is guided by the RAMESES publication standards for realist synthesis. Participants include older people in residential aged care facilities, the aged care workforce, carers and families. Interventions include oral healthcare, oral health education, policy interventions and oral health promotion. The five-step realist review process of Pawson et al will guide the review: clarification of scope and development of initial framework, systematic searches, study appraisal and data extraction, synthesising evidence, drawing conclusions, and dissemination, implementation and evaluation. Expert input with key stakeholders will occur through a blog. Stakeholders will examine consistencies across studies and an explanatory causal theory will be developed to guide policy and practice.

ETHICS AND DISSEMINATION

Formal ethical approval was granted by the La Trobe University Ethics Committee HREC 20144. The developed theory will guide education, practice and policy decisions about interventions and the factors that impact on implementation. Using an integrated knowledge translation approach, traditional research outputs such as international conference presentations and publications will be supplemented with stakeholder forums, infographics, blogs, social media postings, webinars, podcasts and writing for web-based independent outlets.

PROSPERO REGISTRATION NUMBER

CRD42021155658.

Machine learning, materiality and governance: A health and social care case study

There is a widespread belief that machine learning tools can be used to improve decision-making in health and social care. At the same time, there are concerns that they pose threats to privacy and confidentiality. Policy makers therefore need to develop governance arrangements that balance benefits and risks associated with the new tools. This article traces the history of developments of information infrastructures for secondary uses of personal datasets, including routine reporting of activity and service planning, in health and social care. The developments provide broad context for a study of the governance implications of new tools for the analysis of health and social care datasets. We find that machine learning tools can increase the capacity to make inferences about the people represented in datasets, although the potential is limited by the poor quality of routine data, and the methods and results are difficult to explain to other stakeholders. We argue that current local governance arrangements are piecemeal, but at the same time reinforce centralisation of the capacity to make inferences about individuals and populations. They do not provide adequate oversight, or accountability to the patients and clients represented in datasets.