Publications by authors named "Mark Kingston"

Background: Emergency admissions are costly, increasingly numerous, and associated with adverse patient outcomes. Policy responses have included the widespread introduction of emergency admission risk stratification (EARS) tools in primary care. These tools generate scores that predict patients' risk of emergency hospital admission and can be used to support targeted approaches to improve care and reduce admissions.

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Background: Healthcare and support workers play a pivotal role in delivering quality services and support to people seeking sanctuary who have experienced poor physical and mental health linked to previous trauma, relocation and loss of freedoms. However, they often encounter various challenges in their daily work, ranging from communication barriers to resource constraints. This qualitative study seeks to delve into the perspectives of healthcare and support workers' experience of workarounds, employed to overcome barriers to providing care.

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Background: The EVITE Immunity study investigated the effects of shielding Clinically Extremely Vulnerable (CEV) people during the COVID-19 pandemic on health outcomes and healthcare costs in Wales, United Kingdom, to help prepare for future pandemics. Shielding was intended to protect those at highest risk of serious harm from COVID-19. We report the cost of implementing shielding in Wales.

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Introduction: Shielding aimed to protect those predicted to be at highest risk from COVID-19 and was uniquely implemented in the UK during the first year of the pandemic from March 2020. As the first stage in the EVITE Immunity evaluation (Effects of shielding for vulnerable people during COVID-19 pandemic on health outcomes, costs and immunity, including those with cancer:quasi-experimental evaluation), we generated a logic model to describe the programme theory underlying the shielding intervention.

Design And Participants: We reviewed published documentation on shielding to develop an initial draft of the logic model.

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Introduction: Shielding aimed to protect those predicted to be at highest risk from COVID-19 and was uniquely implemented in the UK during the COVID-19 pandemic. Clinically extremely vulnerable people identified through algorithms and screening of routine National Health Service (NHS) data were individually and strongly advised to stay at home and strictly self-isolate even from others in their household. This study will generate a logic model of the intervention and evaluate the effects and costs of shielding to inform policy development and delivery during future pandemics.

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Background: Approximately 75,000 people fracture a hip each year in the UK. This painful injury can be devastating-with a high associated mortality rate-and survivors likely to be more dependent and less mobile. Pain relief at the scene of injury is known to be inadequate.

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Background: Using computer software in general practice to predict patient risk of emergency hospital admission has been widely advocated, despite limited evidence about effects. In a trial evaluating the introduction of a Predictive Risk Stratification Model (PRISM), statistically significant increases in emergency hospital admissions and use of other NHS services were reported without evidence of benefits to patients or the NHS.

Aim: To explore GPs' and practice managers' experiences of incorporating PRISM into routine practice.

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Objectives: During the first wave of the COVID-19 pandemic in the United Kingdom (UK), to describe volume and pattern of calls to emergency ambulance services, proportion of calls where an ambulance was dispatched, proportion conveyed to hospital, and features of triage used.

Methods: Semistructured electronic survey of all UK ambulance services (n = 13) and a request for routine service data on weekly call volumes for 22 weeks (February 1-July 3, 2020). Questionnaires and data request were emailed to chief executives and research leads followed by email and telephone reminders.

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Background: Asylum seekers and refugees (ASRs) often experience poor health in host countries. The United Nations High Commissioner for Refugees (UNHCR) requires hosts to ensure these sanctuary seekers have access to basic health care.

Aim: To identify barriers and facilitators that affect access to health care by ASRs in Wales.

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Background: Stratifying patient populations by risk of adverse events was believed to support preventive care for those identified, but recent evidence does not support this. Emergency admission risk stratification (EARS) tools have been widely promoted in UK policy and GP contracts.

Aim: To describe availability and use of EARS tools across the UK, and identify factors perceived to influence implementation.

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Background: Policy initiatives have incentivised use of EARP tools in primary care to reduce emergency admissions. A recently published trial in South Wales found that EARP increased emergency admissions and emergency department attendances without clear benefits. This cost the NHS an additional £76 per patient per year.

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WHAT IS KNOWN ABOUT THE SUBJECT?: While therapeutic relationships remain core to mental health nursing practice and patient recovery, increased managerialism and focus on risk has impacted nurses' therapeutic practice with patients. While there is anecdotal evidence of the impact there has been little research that demonstrates nurses experience of therapeutic engagement within the current context. WHAT THE PAPER ADDS TO EXISTING KNOWLEDGE?: The paper reports on qualitative research that highlights nurses' strong attempts to create the space for therapeutic engagement with clients.

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Aim: We evaluated the introduction of a predictive risk stratification model (PRISM) into primary care. Contemporaneously National Health Service (NHS) Wales introduced Quality and Outcomes Framework payments to general practices to focus care on those at highest risk of emergency admission to hospital. The aim of this study was to evaluate the costs and effects of introducing PRISM into primary care.

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Introduction: Emergency admission risk prediction models are increasingly used to identify patients, typically with one or more chronic conditions, for proactive management in primary care to avoid admissions, save costs and improve patient experience.

Aim: To identify and review the published evidence on the costs, effects and implementation of emergency admission risk prediction models in primary care for patients with, or at risk of, chronic conditions.

Methods: We shall search for studies of healthcare interventions using routine data-generated emergency admission risk models.

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Background: Rising demand for health care has prompted interest in new technologies to support a shift of care from hospital to community and primary care, which may require clinicians to undertake new working practices. A predictive risk stratification tool (Prism) was developed for use in primary care to estimate patients' risk of an emergency hospital admission. As part of an evaluation of Prism, we aimed to understand what might be needed to bring Prism into effective use by exploring clinicians and practice managers' attitudes and expectations about using it.

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Background: Achieving knowledge translation in healthcare is growing in importance but methods to capture impact of research are not well developed. We present an attempt to capture impact of a programme of research in prehospital emergency care, aiming to inform the development of EMS models of care that avoid, when appropriate, conveyance of patients to hospital for immediate care.

Methods: We describe the programme and its dissemination, present examples of its influence on policy and practice, internationally, and analyse routine UK statistics to determine whether conveyance practice has changed.

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