National Health Service Trusts Research Articles

National variation in guidance for the management of pregnant women presenting with major trauma.

The initial assessment of pregnant women presenting with significant injuries is more complicated than that of non-pregnant women because of physiological and anatomical changes, and the presence of the fetus. The aim of this study was to determine whether guidelines for the early management of severely injured pregnant women exist, which aspects of assessment/management they cover and to what extent there is national consistency. A freedom of information request was submitted to 125 acute National Health Service trusts in England and six in Wales. The trusts were asked to confirm whether they have a guideline for the management of major trauma in pregnant women presenting to the emergency department and what the guidelines were. In total, 96.2% of trusts responded, of which 19% have a specific guideline and 7.9% have a generic guideline for assessing pregnant women in the emergency department, irrespective of injury severity. Of the responding trusts, 19.8% have a protocol that specifies when an obstetric trauma call should be put out by the emergency department and when a pregnant woman should be transferred to a major trauma centre for definitive management. Our results found that 69.8% routinely call obstetrics or gynaecology to the trauma call compared with 36.5% calling paediatrics. The heterogeneity evident across trusts necessitates the establishment of national guidelines for the assessment of pregnant women with major trauma to standardise communication and delivery of care.

The development of the PPN equality, diversity, and inclusion audit tool: What it is and how to use it?

There are a host of initiatives within the National Health Service (NHS) to increase the diversity of the workforce. The Psychological Professions Network (PPN) is funded by NHS England to enable a membership network and a platform for discussion, consultation, and development across the psychological professions. Equality, diversity, and inclusion (EDI) are key priorities for the NHS workforce, and the PPN South-East (PPN SE) commissioned a project aimed at exploring the facilitators and barriers to increasing the diversity of the workforce. As part of this project, following stakeholder consultation, the PPN SE EDI Audit Tool was devised to aid the development of effective and accountable EDI action plans based upon increasing the diversity of expert by experience involvement, students/trainees, and the NHS workforce. The aim of this paper is to provide a rationale for the Audit Tool, and detail step by step instructions explaining how to complete it, to help with accountability and planning for Psychological Training Programmes, Higher Education Institutions, Professional Bodies and NHS Trusts.

Qualitative study exploring the design of a patient-reported symptom-based risk stratification system for suspected head and neck cancer referrals: protocol for work packages 1 and 2 within the EVEREST-HN programme

IntroductionBetween 2009/2010 and 2019/2020, England witnessed an increase in suspected head and neck cancer (sHNC) referrals from 140 to 404 patients per 100 000 population. 1 in 10 patients are...

Implementing and Evaluating a National Integrated Digital Registry and Clinical Decision Support System in Early Intervention in Psychosis Services (Early Psychosis Informatics Into Care): Co-Designed Protocol.

Early intervention in psychosis (EIP) services are nationally mandated in England to provide multidisciplinary care to people experiencing first-episode psychosis, which disproportionately affects deprived and ethnic minority youth. Quality of service provision varies by region, and people from historically underserved populations have unequal access. In other disease areas, including stroke and dementia, national digital registries coupled with clinical decision support systems (CDSSs) have revolutionized the delivery of equitable, evidence-based interventions to transform patient outcomes and reduce population-level disparities in care. Given psychosis is ranked the third most burdensome mental health condition by the World Health Organization, it is essential that we achieve the same parity of health improvements. This paper reports the protocol for the program development phase of this study, in which we aimed to co-design and produce an evidence-based, stakeholder-informed framework for the building, implementation, piloting, and evaluation of a national integrated digital registry and CDSS for psychosis, known as EPICare (Early Psychosis Informatics into Care). We conducted 3 concurrent work packages, with reciprocal knowledge exchange between each. In work package 1, using a participatory co-design framework, key stakeholders (clinicians, academics, policy makers, and patient and public contributors) engaged in 4 workshops to review, refine, and identify a core set of essential and desirable measures and features of the EPICare registry and CDSS. Using a modified Delphi approach, we then developed a consensus of data priorities. In work package 2, we collaborated with National Health Service (NHS) informatics teams to identify relevant data currently captured in electronic health records, understand data retrieval methods, and design the software architecture and data model to inform future implementation. In work package 3, observations of stakeholder workshops and individual interviews with representative stakeholders (n=10) were subject to interpretative qualitative analysis, guided by normalization process theory, to identify factors likely to influence the adoption and implementation of EPICare into routine practice. Stage 1 of the EPICare study took place between December 2021 and September 2022. The next steps include stage 2 building, piloting, implementation, and evaluation of EPICare in 5 demonstrator NHS Trusts serving underserved and diverse populations with substantial need for EIP care in England. If successful, this will be followed by stage 3, in which we will seek NHS adoption of EPICare for rollout to all EIP services in England. By establishing a multistakeholder network and engaging them in an iterative co-design process, we have identified essential and desirable elements of the EPICare registry and CDSS; proactively identified and minimized potential challenges and barriers to uptake and implementation; and addressed key questions related to informatics architecture, infrastructure, governance, and integration in diverse NHS Trusts, enabling us to proceed with the building, piloting, implementation, and evaluation of EPICare. DERR1-10.2196/50177.

Adoption, orchestration, and deployment of artificial intelligence within the National Health Service—facilitators and barriers: an expert roundtable discussion

Abstract Clinical care, workflow, and patient outcomes within National Health Service (NHS) radiology services will potentially benefit significantly in coming years with the integration of artificial intelligence (AI) into various specialty areas. This article summarizes an expert roundtable discussion, convened by the British Institute of Radiology, comprised experts from clinical, NHS management and industry backgrounds. Facilitators and barriers to both implementation and integration of AI platforms into daily practice are discussed alongside examples including AI in emergency care and breast screening. Issues addressed include the need to generate more real-world evidence that helps developers and service providers to determine the optimal way for patients to reap the benefits of AI with faster reporting turnaround time, faster diagnoses, and treatment times, for example. To ensure the effective and timely wide-scale implementation, adoption requires a national policy drive and national level coordination but specific, local needs of NHS Trusts and any particular service within Trusts will also need to be met. By embedding AI-capabilities into scanners, ultrasound-devices, X-ray equipment, and Picture archiving and communication system (PACS), local services will benefit, while AI applications can streamline workflows across and between departments and potentially Trusts. AI predictive analytics and systems engineering can be used to better manage patient volume and movement. In the short term, education, training, and confidence in adapting and adopting AI in radiology require dedicated local, national, and governmental effort but the future benefits promise to justify the means.

Experiences of the clinical academic pathway: a qualitative study in Greater Manchester to improve the opportunities of minoritised clinical academics

ObjectivesThe aim of this study was to explore the barriers and facilitators faced by clinical academics (CAs) in the Greater Manchester region, with particular attention to the experiences of minoritised...

What are the key influences and challenges around weight management faced by patients in UK adult secure mental health settings? A focused ethnographic approach

ObjectivesExcess weight is highly prevalent in secure (forensic) mental health services and impacts negatively on patients’ physical and mental health. This study sought to identify the key influences and challenges...

Implementation issues and barriers for assessing oral health in dependent patients after stroke: A qualitative study

ObjectivesTo explore implementation issues and potential barriers for assessing oral health in dependent post-stroke patients. MethodsSemi-structured interviews were conducted with a purposively identified sample of healthcare service providers who work in two National Health Service (NHS) Trusts in the north of England. Interviews were conducted until data saturation was achieved (n = 30). Data were analysed using the constant comparative method. ResultsSix themes were drawn out in this study, which described potential barriers to assessing oral health in post-stroke patients, aspects of oral health that need assessment, streamlining the oral health assessment, input methods for oral health assessment, characteristics of assessors, and how oral care should be planned. ConclusionsAssessment of oral health for post-stroke patients has been viewed as a complex task because of several identified barriers. Several suggestions have been proposed to overcome these barriers, aiming to enable more feasible and effective oral health assessments for post-stroke patients. Clinical SignificanceThe findings from this study have the potential to contribute to developing oral health measurement instruments that might be more successfully implemented and guide oral care planning for dependent patients after stroke.

Efficiency Assessment of Breast Clinics for Patients Under 35: A Comparative Analysis of Targeted Models in a University Hospital.

Despite the higher incidence of breast cancer in older age groups, it remains pertinent not to overlook breast cancer occurrence in those aged 35 years and below. Recent transitions towardtargeted under-35 clinics in Englandaim to enhance efficiency and meet referral standards. Three models were planned, and we assessed the efficiency of each model. This study, conducted for five months within a single National Health Service (NHS) trust, analyzed data from the following clinics: the General One-Stop Clinic, the Under 35 One-Stop Clinic with ultrasound services (USS), and the Under 35 Clinic without USS services. Of the 300 patients recruited (100 consecutive patients from each clinic), 94.3% were female. The average age at presentation was 27.53 years. The most frequently encountered age group was between 26 and 30 years, and the majorityof patients had palpable lumps (78, 51.6%). Out of 300 patients who attended the clinics, 151 had USS, and of these, 15 biopsies were performed. Fibroadenomas (32, 21.2%) and cysts (22, 14.6%) were the most common radiological findings.We found that more breast imaging was being undertaken for under-35 patients who attended the general one-stop clinics compared to the specific under-35 clinics. Targeted breast clinics for individuals 35 years and below offer an effective approach in terms of resource allocation and meeting cancer targets.

Health outcomes after myocardial infarction: A population study of 56 million people in England.

The occurrence of a range of health outcomes following myocardial infarction (MI) is unknown. Therefore, this study aimed to determine the long-term risk of major health outcomes following MI and generate sociodemographic stratified risk charts in order to inform care recommendations in the post-MI period and underpin shared decision making. This nationwide cohort study includes all individuals aged ≥18 years admitted to one of 229 National Health Service (NHS) Trusts in England between 1 January 2008 and 31 January 2017 (final follow-up 27 March 2017). We analysed 11 non-fatal health outcomes (subsequent MI and first hospitalisation for heart failure, atrial fibrillation, cerebrovascular disease, peripheral arterial disease, severe bleeding, renal failure, diabetes mellitus, dementia, depression, and cancer) and all-cause mortality. Of the 55,619,430 population of England, 34,116,257 individuals contributing to 145,912,852 hospitalisations were included (mean age 41.7 years (standard deviation [SD 26.1]); n = 14,747,198 (44.2%) male). There were 433,361 individuals with MI (mean age 67.4 years [SD 14.4)]; n = 283,742 (65.5%) male). Following MI, all-cause mortality was the most frequent event (adjusted cumulative incidence at 9 years 37.8% (95% confidence interval [CI] [37.6,37.9]), followed by heart failure (29.6%; 95% CI [29.4,29.7]), renal failure (27.2%; 95% CI [27.0,27.4]), atrial fibrillation (22.3%; 95% CI [22.2,22.5]), severe bleeding (19.0%; 95% CI [18.8,19.1]), diabetes (17.0%; 95% CI [16.9,17.1]), cancer (13.5%; 95% CI [13.3,13.6]), cerebrovascular disease (12.5%; 95% CI [12.4,12.7]), depression (8.9%; 95% CI [8.7,9.0]), dementia (7.8%; 95% CI [7.7,7.9]), subsequent MI (7.1%; 95% CI [7.0,7.2]), and peripheral arterial disease (6.5%; 95% CI [6.4,6.6]). Compared with a risk-set matched population of 2,001,310 individuals, first hospitalisation of all non-fatal health outcomes were increased after MI, except for dementia (adjusted hazard ratio [aHR] 1.01; 95% CI [0.99,1.02];p = 0.468) and cancer (aHR 0.56; 95% CI [0.56,0.57];p < 0.001). The study includes data from secondary care only-as such diagnoses made outside of secondary care may have been missed leading to the potential underestimation of the total burden of disease following MI. In this study, up to a third of patients with MI developed heart failure or renal failure, 7% had another MI, and 38% died within 9 years (compared with 35% deaths among matched individuals). The incidence of all health outcomes, except dementia and cancer, was higher than expected during the normal life course without MI following adjustment for age, sex, year, and socioeconomic deprivation. Efforts targeted to prevent or limit the accrual of chronic, multisystem disease states following MI are needed and should be guided by the demographic-specific risk charts derived in this study.

AI assisted reader evaluation in acute CT head interpretation (AI-REACT): protocol for a multireader multicase study

IntroductionA non-contrast CT head scan (NCCTH) is the most common cross-sectional imaging investigation requested in the emergency department. Advances in computer vision have led to development of several artificial intelligence...

Are Clinical Prediction Rules Used in Spinal Cord Injury Care? A Survey of Practice.

Accurate outcome prediction is desirable post spinal cord injury (SCI), reducing uncertainty for patients and supporting personalized treatments. Numerous attempts have been made to create clinical prediction rules that identify patients who are likely to recover function. It is unknown to what extent these rules are routinely used in clinical practice. To better understand knowledge of, and attitudes toward, clinical prediction rules amongst SCI clinicians in the United Kingdom. An online survey was distributed via mailing lists of clinical special interest groups and relevant National Health Service Trusts. Respondents answered questions about their knowledge of existing clinical prediction rules and their general attitudes to using them. They also provided information about their level of experience with SCI patients. One hundred SCI clinicians completed the survey. The majority (71%) were unaware of clinical prediction rules for SCI; only 8% reported using them in clinical practice. Less experienced clinicians were less likely to be aware. Lack of familiarity with prediction rules was reported as being a barrier to their use. The importance of clinical expertise when making prognostic decisions was emphasized. All respondents reported interest in using clinical prediction rules in the future. The results show widespread lack of awareness of clinical prediction rules amongst SCI clinicians in the United Kingdom. However, clinicians were positive about the potential for clinical prediction rules to support decision-making. More focus should be directed toward refining current rules and improving dissemination within the SCI community.

Models of care in secure services for people with intellectual and developmental disability: Implementing the Walkway to Wellness.

Changes to policy around inpatient services for people with intellectual and developmental disability (IDD) who offend, have led to a need for services to reconsider their models of care. This has led to calls for more tailored, patient-centred care models, with less reliance solely on offence-related treatment programmes which can be unsuitable for a growing proportion of patients with more complex cognitive and behavioural difficulties. In response, the Walkway to Wellness (W2W) was developed at one National Health Service Trust providing secure services to people with IDD, with the intention of delivering a more collaborative, co-produced and goal-oriented care model that was better understood by staff and patient stakeholders. To evaluate the implementation of the W2W using Normalisation Process Theory (NPT), an evidence-based theoretical approach is used across a number of health settings. Staff were invited to complete a short questionnaire, using the NPT informed Normalisation Measure Development questionnaire, at two time points along the implementation process. Patients were invited to complete a simplified questionnaire. Both groups were asked for their views on the W2W and the process of its implementation. Although the W2W was more familiar to staff at the second time point, scores on the four NPT constructs showed a trend for it being less embedded in practice, with significant results concerning the ongoing appraisal of the new model. Patient views were mixed; some saw the benefit of more goal-oriented processes, but others considered it an additional chore hindering their own perceived goals. Early involvement of all stakeholders is required to enhance the understanding of changes to models of care. Live feedback should be used to refine and revise the model to meet the needs of patients, carers and staff members.

Estimating demand for potential disease-modifying therapies for Alzheimer's disease in the UK.

Phase three trials of the monoclonal antibodies lecanemab and donanemab, which target brain amyloid, have reported statistically significant differences in clinical end-points in early Alzheimer's disease. These drugs are already in use in some countries and are going through the regulatory approval process for use in the UK. Concerns have been raised about the ability of healthcare systems, including those in the UK, to deliver these treatments, considering the resources required for their administration and monitoring. To estimate the scale of real-world demand for monoclonal antibodies for Alzheimer's disease in the UK. We used anonymised patient record databases from two National Health Service trusts for the year 2019 to collect clinical, demographic, cognitive and neuroimaging data for these cohorts. Eligibility for treatment was assessed using the inclusion criteria from the clinical trials of donanemab and lecanemab, with consideration given to diagnosis, cognitive performance, cerebrovascular disease and willingness to receive treatment. We examined the records of 82 386 people referred to services covering around 2.2 million people. After applying the trial criteria, we estimate that a maximum of 906 people per year would start treatment with monoclonal antibodies in the two services, equating to 30 200 people if extrapolated nationally. Monoclonal antibody treatments for Alzheimer's disease are likely to present a significant challenge for healthcare services to deliver in terms of the neuroimaging and treatment delivery. The data provided here allows health services to understand the potential demand and plan accordingly.

Retrospective cohort study of the association between socioeconomic deprivation and incidence of gestational diabetes and perinatal outcomes

IntroductionSocioeconomic disparities have been shown to correlate with perinatal mortality and the incidence of type 2 diabetes. Few studies have explored the relationship between deprivation and the incidence of gestational diabetes (GDM). We aimed to identify the relationship between deprivation and incidence of GDM, after adjusting for age, BMI, and ethnicity. We also examined for relationships between deprivation and perinatal outcomes.MethodsA retrospective cohort analysis of 23,490 pregnancies from a major National Health Service Trust in Northwest London was conducted. The 2019 English Indices of Multiple Deprivation was used to identify the deprivation rank and decile for each postcode. Birthweight centile was calculated from absolute birthweight after adjusting for ethnicity, maternal height, maternal weight, parity, sex and outcome (live birth/stillbirth). Logistic regression and Kendall’s Tau were used to identify relationships between variables.ResultsAfter controlling for age, BMI & ethnicity, Index of Multiple Deprivation postcode decile was not associated with an increased risk of developing gestational diabetes. Each increase in decile of deprivation was associated with an increase in birthweight centile by 0.471 (p < 0.001). After adjusting for confounders, age was associated with a 7.1% increased GDM risk (OR: 1.076, p < 0.001); BMI increased risk by 5.81% (OR: 1.059, p < 0.001). There was no significant correlation between Index of Multiple Deprivation rank and perinatal outcomes.DiscussionOur analysis demonstrates that socioeconomic deprivation was not associated with incidence of GDM or adverse perinatal outcomes. Factors such as genetic predisposition and lifestyle habits may likely play a larger role in the development of GDM compared to socioeconomic deprivation alone.

“Quite simply they don’t communicate”: a case study of a National Health Service response to staff suicide

Workplace suicide can have significant knock-on effects within an organisation, yet research has shown within the healthcare profession, not all staff receive suicide prevention training, and few employers take the...

Women’s experiences of the consenting process for pregnancy remains disposal following early miscarriage

Background and methodologyUK clinical practices around managing pregnancy remains after pregnancy loss involve a process of documenting consent. Women are typically offered options for disposal, which may include cremation, burial,...

N-desethyl isotonitazene detected in polydrug users admitted to hospital in Birmingham, United Kingdom

Introduction Nitazenes are potent synthetic opioids and N-desethyl isotonitazene, a metabolite of isotonitazene, has emerged as a drug in its own right. Methods This is an observational case series of patients with suspected or declared substance use who were admitted to hospitals in the Sandwell and West Birmingham National Health Service Trust between July and October 2023. All patients were found on toxicological screening to have been exposed to N-desethyl isotonitazene. Results Twenty presentations involving 19 patients who tested positive for N-desethyl isotonitazene were included in the study. In 19 presentations, multiple substances were detected on toxicological screening. The number of patients testing positive for other substances were: 19 for cocaine and its main metabolite benzoylecgonine, 13 for morphine, 11 for the heroin-specific metabolite 6-monoacetylmorphine, ten for xylazine, eight for gabapentinoids (pregabalin and/or gabapentin), seven for methadone and/or the metabolite, 2-ethylidene-1, 5-dimethyl-3, 3-diphenylpyrrolidine, six for benzodiazepines and five for the synthetic cannabinoid MDMB-4en-PINACA. Only one patient had no other substances detected apart from N-desethyl isotonitazene. This patient presented with coma, miosis, bradypnoea and hypercapnia and responded to naloxone. In this cohort, the median concentration of N-desethyl isotonitazene was 1.53 µg/L (n = 14; range 0.59–5.48) in whole blood and 27.75 µg/L (n = 16; range 0.51–91.53) in urine. Discussion The majority of the patients in this cohort presented with features typical of an opioid overdose, which is unsurprising as they were all experienced users of diamorphine. Although these features are also consistent with the known effects of N-desethyl isotonitazene, in only one case is it possible to attribute the patient’s features to N-desethyl isotonitazene toxicity alone. Conclusions This case series highlights the need for toxicovigilance in the illicit drug market as patterns of substance misuse evolve and novel psychoactive substances continue to emerge.

Real-time monitoring and feedback to improve shared decision-making for surgery (the ALPACA Study): protocol for a mixed-methods study to inform co-development of an inclusive intervention

IntroductionHigh-quality shared decision-making (SDM) is a priority of health services, but only achieved in a minority of surgical consultations. Improving SDM for surgical patients may lead to more effective care...

NeuroRehabilitation OnLine: Description of a regional multidisciplinary group telerehabilitation innovation for stroke and neurological conditions using the Template for Intervention Description and Replication checklist.

Providing recommended amounts of rehabilitation for stroke and neurological patients is challenging. Telerehabilitation is viable for delivering rehabilitation and an acceptable adjunct to in-person therapy. NeuroRehabilitation OnLine (NROL) was developed as a pilot and subsequently operationalised as a regional innovation embedded across four National Health Service (NHS) Trusts. To describe the NROL innovation to assist future implementation and replication efforts. The Template for Intervention Description and Replication (TIDieR) checklist, with guidance from the TIDieR-Telehealth extension, was used to describe NROL. The description was developed collaboratively by clinical academics, therapists, managers and researchers. Updated Consolidated Framework for Implementation Research domains were used to describe the context in which the innovation was delivered. NROL delivers online group-based real-time neurorehabilitation with technology assistance. It incorporates multidisciplinary targeted therapy and peer support to complement existing therapy. Procedures, materials and structure are detailed to demonstrate how NROL is embedded within a healthcare system. NROL uses existing NHS therapy workforce alongside dedicated NROL roles, including an essential technology support role. Selection of NROL groups is dependent on patient needs. The NROL innovation is tailored over time in response to feedback. NROL described here is successfully integrated within a regional stroke and neurorehabilitation network, aligns with local and national strategies and capitalises on an existing clinical-academic partnership. This comprehensive description of a regional NROL innovation, and clarification of core components, should facilitate other healthcare settings to adapt and implement NROL for their context. Continuous evaluation alongside implementation will ensure maximal impact for neurorehabilitation.