A systems approach to managing the risk of healthcare acquired infection in an acute hospital setting supported by human factors ergonomics, data science, data governance and AI.

Innovative approaches are needed for managing risk and system change in healthcare. This paper presents a case study of a project that took place over two years, taking a systems approach to managing the risk of healthcare acquired infection in an acute hospital setting, supported by an Access Risk Knowledge Platform which brings together Human Factors Ergonomics, Data Science, Data Governance and AI expertise. Evidence for change including meeting notes and use of the platform were studied. The work on the project focused on first systematically building a rich picture of the current situation from a transdisciplinary perspective. This allowed for understanding risk in context and developing a better capability to support enterprise risk management and accountability. From there a linking of operational and risk data took place which led to mapping of the risk pattern in the hospital.

Innovative ways of supporting the processes for managing risk, developing accountability and building resilience and system change in healthcare are needed.This paper presents a study that took place over two years, taking a systems approach to managing the risk of healthcare acquired infection in an acute hospital setting, supported by Human Factors Ergonomics, Data Science, Data Governance and AI.The work focused on systematically building a proactive capability to understand all data sources and harness their ability to support the proactive management of the risk of healthcare acquired infection.

Valid consent in the acute hospital setting: perspectives of patients and members of the public.

BACKGROUND: People who interact with healthcare services have an ethical and legal right to control their own lives, to make informed decisions, and to consent to what happens to them. For consent to be considered ethically and legally valid, three key criteria must be met: consent must be given voluntarily; people must be sufficiently informed of all options; and people should have capacity to make the decision to give or withhold their consent. AIM: This study set out to explore, through the use of surveys, the perspectives of patients and public in relation to consent. METHOD: Surveys were developed for patients and the public and administered paper based (patients) and through social media (public). RESULTS: One hundred and forty surveys were posted to patients, with a 38% response rate; 104 responses were received from the public. Ninety-six percent of patients were satisfied that the decision they made was informed; 100% felt they had made a voluntary decision; 98% felt the clinician seemed knowledgeable about the procedure. What matters most to the public were being informed about the risks associated with the proposed procedure and being assured that whatever choice they make they will receive the best care possible. CONCLUSIONS: The results highlight interesting similarities and differences in relation to consent between members of the public thinking about a possible treatment, surgery, or procedure and those patients who have actually been through the process in the past 12 months. Recommendations have been developed on the basis of these findings to co-design improvements in consent practices.

Evaluation of an Access-Risk-Knowledge (ARK) Platform for Governance of Risk and Change in Complex Socio-Technical Systems.

Three key challenges to a whole-system approach to process improvement in health systems are the complexity of socio-technical activity, the capacity to change purposefully, and the consequent capacity to proactively manage and govern the system. The literature on healthcare improvement demonstrates the persistence of these problems. In this project, the Access-Risk-Knowledge (ARK) Platform, which supports the implementation of improvement projects, was deployed across three healthcare organisations to address risk management for the prevention and control of healthcare-associated infections (HCAIs). In each organisation, quality and safety experts initiated an ARK project and participated in a follow-up survey and focus group. The platform was then evaluated against a set of fifteen needs related to complex system transformation. While the results highlighted concerns about the platform's usability, feedback was generally positive regarding its effectiveness and potential value in supporting HCAI risk management. The ARK Platform addresses the majority of identified needs for system transformation; other needs were validated in the trial or are undergoing development. This trial provided a starting point for a knowledge-based solution to enhance organisational governance and develop shared knowledge through a Community of Practice that will contribute to sustaining and generalising that change.

Post-COVID-19 paediatric inflammatory multisystem syndrome: association of ethnicity, key worker and socioeconomic status with risk and severity.

OBJECTIVES: Patients from ethnic minority groups and key workers are over-represented among adults hospitalised or dying from COVID-19. In this population-based retrospective cohort, we describe the association of ethnicity, socioeconomic and family key worker status with incidence and severity of Paediatric Inflammatory Multisystem Syndrome Temporally associated with SARS-CoV-2 (PIMS-TS). SETTING: Evelina London Children's Hospital (ELCH), the tertiary paediatric hospital for the South Thames Retrieval Service (STRS) region. PARTICIPANTS: 70 children with PIMS-TS admitted 14 February 2020-2 June 2020. OUTCOME MEASURES: Incidence and crude ORs are presented, comparing ethnicity and socioeconomic status of our cohort and the catchment population, using census data and Index of Multiple Deprivation (IMD). Regression is used to estimate the association of ethnicity and IMD with admission duration and requirement for intensive care, inotropes and ventilation. RESULTS: Incidence was significantly higher in children from black (25.0 cases per 100 000 population), Asian (6.4/100 000) and other (17.8/100 000) ethnic groups, compared with 1.6/100 000 in white ethnic groups (ORs 15.7, 4.0 and 11.2, respectively). Incidence was higher in the three most deprived quintiles compared with the least deprived quintile (eg, 8.1/100 000 in quintile 1 vs 1.6/100 000 in quintile 5, OR 5.2). Proportions of families with key workers (50%) exceeded catchment proportions. Admission length of stay was 38% longer in children from black ethnic groups than white (95% CI 4% to 82%; median 8 days vs 6 days). 9/10 children requiring ventilation were from black ethnic groups. CONCLUSIONS: Children in ethnic minority groups, living in more deprived areas and in key worker families are over-represented. Children in black ethnic groups had longer admissions; ethnicity may be associated with ventilation requirement.This project was registered with the ELCH audit and service evaluation team, ref. no 11186.

Supplementary motor area and primary auditory cortex activation in an expert break-dancer during the kinesthetic motor imagery of dance to music.

The current study used functional magnetic resonance imaging to examine the neural activity of an expert dancer with 35 years of break-dancing experience during the kinesthetic motor imagery (KMI) of dance accompanied by highly familiar and unfamiliar music. The goal of this study was to examine the effect of musical familiarity on neural activity underlying KMI within a highly experienced dancer. In order to investigate this in both primary sensory and motor planning cortical areas, we examined the effects of music familiarity on the primary auditory cortex [Heschl's gyrus (HG)] and the supplementary motor area (SMA). Our findings reveal reduced HG activity and greater SMA activity during imagined dance to familiar music compared to unfamiliar music. We propose that one's internal representations of dance moves are influenced by auditory stimuli and may be specific to a dance style and the music accompanying it.