Interim 2023/2024 Season Influenza Vaccine Effectiveness in Primary and Secondary Care in the United Kingdom.

BACKGROUND: We report 2023/2024 season interim influenza vaccine effectiveness for three studies, namely, primary care in Great Britain, hospital settings in Scotland and hospital settings in England. METHODS: A test negative design was used to estimate vaccine effectiveness. RESULTS: Estimated vaccine effectiveness against all influenzas ranged from 63% (95% confidence interval 46 to 75%) to 65% (41 to 79%) among children aged 2-17, from 36% (20 to 49%) to 55% (43 to 65%) among adults 18-64 and from 40% (29 to 50%) to 55% (32 to 70%) among adults aged 65 and over. CONCLUSIONS: During a period of co-circulation of influenza A(H1N1)pdm09 and A(H3N2) in the United Kingdom, evidence for effectiveness of the influenza vaccine in both children and adults was found.

Risk factors for asthma-related hospital and intensive care admissions in children, adolescents and adults: a cohort study using primary and secondary care data.

BACKGROUND: Asthma remains a common cause of hospital admissions across the life course. We estimated the contribution of key risk factors to asthma-related hospital and intensive care unit (ICU) admissions in children, adolescents and adults. METHODS: This was a UK-based cohort study using linked primary care (Clinical Practice Research Datalink Aurum) and secondary care (Hospital Episode Statistics Admitted Patient Care) data. Patients were eligible if they were aged 5 years and older and had been diagnosed with asthma. This included 90 989 children aged 5-11 years, 114 927 adolescents aged 12-17 years and 1 179 410 adults aged 18 years or older. The primary outcome was asthma-related hospital admissions from 1 January 2017 to 31 December 2019. The secondary outcome was asthma-related ICU admissions. Incidence rate ratios adjusted for demographic and clinical risk factors were estimated using negative binomial models. Population attributable fraction (PAF) was estimated for modifiable risk factors. RESULTS: Younger age groups, females and those from ethnic minority and lower socioeconomic backgrounds had an increased risk of asthma-related hospital admissions. Increasing medication burden, including excessive use of short-acting bronchodilators, was also strongly associated with the primary outcome. Similar risk factors were observed for asthma-related ICU admissions. The key potentially modifiable or treatable risk factors were smoking in adolescents and adults (PAF 6.8%, 95% CI 0.9% to 12.3% and 4.3%, 95% CI 3.0% to 5.7%, respectively), and obesity (PAF 23.3%, 95% CI 20.5% to 26.1%), depression (11.1%, 95% CI 9.1% to 13.1%), gastro-oesophageal reflux disease (2.3%, 95% CI 1.2% to 3.4%), anxiety (2.0%, 95% CI 0.5% to 3.6%) and chronic rhinosinusitis (0.8%, 95% CI 0.3% to 1.3%) in adults. CONCLUSIONS: There are significant sociodemographic inequalities in the rates of asthma-related hospital and ICU admissions. Treating age-specific modifiable risk factors should be considered an integral part of asthma management, which could potentially reduce the rate of avoidable hospital admissions.

Barriers to uptake of referral services from secondary eye care to tertiary eye care and its associated determinants in L V Prasad Eye Institute network in Southern India: A cross-sectional study-Report II.

AIM: To investigate the barriers to the uptake of referral services from secondary care centers (SC) to a higher-level tertiary care center (TC) in Southern India. METHODS: A cross-sectional study was conducted in the Mahabubnagar district of Telangana, India, between February 1, 2018 to January 31, 2019 and all those referred from SC to TC between January 1, 2013 to December 30, 2016 were identified for interview. Based on inclusion criteria, of the 960 participants identified, 681 (70.9%) participated in the study. A validated study questionnaire was administered to all participants. Information collected were the demographic details, details related to their referral and barriers to referral. The participants that presented at TC were considered compliant and who did not, were non-compliant. Reasons for non-compliance was also collected. RESULTS: The mean age those interviewed was 46.1 years (SD: 17.3 years) and 429 (63%) were males and 252 (37%) were females. Overall, 516 (75.8%) were compliant, and 165 (24.2%) were non-compliant. The major factors for non-compliance were economic (16.4%) and attitudinal (44.2%) barriers. Within the attitudinal barrier category, the most prevalent individual attitudinal barriers were 'too busy to go to the eye center for treatment (16.4%)'and 'able to manage routine daily activities with current vision (12.1%)'. The multivariable analysis showed that the non-compliant participants had only visited the SC once prior to the referral (odds ratio: 2.82; 95% CI: 1.43-5.57) (p = 0.003). CONCLUSIONS: Participants with only one SC visit, were less likely to comply with referrals and the major barriers to compliance were economical and attitudinal. It is important to address these specific barriers to provide proper counseling to participants during referrals.

Adoption by clinicians of electronic order communications in NHS secondary care: a descriptive account.

BACKGROUND: Due to the rapid advancement in information technology, changes to communication modalities are increasingly implemented in healthcare. One such modality is Computerised Provider Order Entry (CPOE) systems which replace paper, verbal or telephone orders with electronic booking of requests. We aimed to understand the uptake, and user acceptability, of CPOE in a large National Health Service hospital system. METHODS: This retrospective single-centre study investigates the longitudinal uptake of communications through the Prescribing, Information and Communication System (PICS). The development and configuration of PICS are led by the doctors, nurses and allied health professionals that use it and requests for CPOE driven by clinical need have been described.Records of every request (imaging, specialty review, procedure, laboratory) made through PICS were collected between October 2008 and July 2019 and resulting counts were presented. An estimate of the proportion of completed requests made through the system has been provided for three example requests. User surveys were completed. RESULTS: In the first 6 months of implementation, a total of 832 new request types (imaging types and specialty referrals) were added to the system. Subsequently, an average of 6.6 new request types were added monthly. In total, 8 035 132 orders were requested through PICS. In three example request types (imaging, endoscopy and full blood count), increases in the proportion of requests being made via PICS were seen. User feedback at 6 months reported improved communications using the electronic system. CONCLUSION: CPOE was popular, rapidly adopted and diversified across specialties encompassing wide-ranging requests.

A Retrospective Study of Covid-19 Patients: A Real-Life Experience in a Secondary Care Hospital, Jashore, Bangladesh.

Covid-19 was first detected on 8th March of 2020 in Bangladesh after the global pandemic being started. As a new virus and disease there are scarcity of data of SARS-CoV-2 and Covid-19 respectively in our country. Aim of this study is to assess the demographic characteristics, clinical profiles, underlying co-morbid conditions, treatment pattern and outcome of the SARS-CoV-2 positive patients in Jashore, Bangladesh. This retrospective study recruited 208 RT-PCR positive Covid-19 patients from 1st April 2020 to 15th May 2020 who appeared at Flu corner centre, 250 Bedded General Hospital, Jashore, Bangladesh. Data was collected online through telephone, mobile and email due to the high contagious property of Covid-19. Out of total 208 Covid-19 patients, the mean age of the participants was 37.0±15.0 years with a male and female ratio of 2.06:1. Underlying comorbidities were documented in 36.5% of total Covid-19 patents of which hypertension in 16.3%, diabetes in 14.4%, respiratory diseases in 8.7% and pre-existing coronary arterial diseases in 6.3% patients. Though 17.8% Covid-19 patients were asymptomatic, the most common symptoms were fever (68.8%), cough (30.8%), myalgia (30.8%), sore throat (22.1%), vertigo (21.6%), respiratory distress (20.7%), anorexia (17.8%), nasal congestion (16.3%), nausea or vomiting (13.9%) and diarrhoea (13.0%). Whereas, the symptomatic patients were classified as flu-like illness (77.9%), mild to moderate pneumonia (2.4%) and severe pneumonia (1.9%). Many patients (19.2%) recovered spontaneously and 22.1% patients cured by the only simple symptomatic treatment. The most commonly received antibiotics were Azithromycin and Doxycycline. Home stay management was demonstrated in 73.1% patients, whereas, 26.0% patients required general ward admission and only 0.9% patients required referral for the HDU or ICU management with an average duration of hospital stay of 16±6 days. A high satisfactory outcome was found as evident by complete recovery in 98.08% of Covid-19 patients, complications (0.48%) and fatality (1.44%) even in this secondary care center. Therefore, we can conclude that the disease was well managed with highly satisfactory outcomes even in the low resource health care setting in the early stage of Covid-19 pandemic era. Hence, the early case detection, identification of the high-risk groups and proper management may mitigate to develop complications and fatalities of Covid-19.

Multifaceted pharmacist-led interventions in secondary care settings between countries of various income levels: a scoping review protocol.

INTRODUCTION: Clinical pharmacy services often involve multifaceted pharmacist-led interventions. However, current pharmacy practice models vary across different countries. Despite the documented benefits of clinical pharmacy services, the characteristics of pharmacist-led interventions in different countries have not yet been adequately explored and described. Therefore, this protocol outlines the methodology for a proposed scoping review aiming to investigate various types of multifaceted pharmacist-led interventions and the outcomes used to evaluate their effectiveness within secondary care settings. Additionally, the scoping review will map the current evidence surrounding the characteristics of interventions and outcomes reported across various countries of socioeconomic status. METHODS AND ANALYSIS: The scoping review will be conducted according to the JBI Methodology for Scoping Reviews and reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) Extension for Scoping Reviews. We will systematically search the following electronic databases: MEDLINE (Ovid), CINAHL (EbscoHost), Embase (embase.com), Scopus (scopus.com), Cochrane Library (cochranelibrary.com) and APA PsycInfo (Ovid). Additionally, the reference lists of identified reviews and included full texts will be searched for relevant papers. Grey literature sources, such as International Pharmaceutical Abstracts and the International Pharmaceutical Federation (FIP) website, will be searched. We will include primary studies published in the English language from January 2013 to December 2023, involving secondary care multifaceted pharmacist-led interventions. Two independent reviewers will screen studies against eligibility criteria and use a piloted data extraction form to extract relevant information. We will extract relevant data, complete a tabular summary from each included publication and analyse it. ETHICS AND DISSEMINATION: Ethical approval is not required as we will be using data from publicly available literature sources. Findings will be disseminated in publications and presentations with relevant stakeholders. We aim to map available evidence across the breadth of studies that have reported multifaceted pharmacist-led interventions and their outcomes.

Locum doctor working and quality and safety: a qualitative study in English primary and secondary care.

BACKGROUND: The use of temporary doctors, known as locums, has been common practice for managing staffing shortages and maintaining service delivery internationally. However, there has been little empirical research on the implications of locum working for quality and safety. This study aimed to investigate the implications of locum working for quality and safety. METHODS: Qualitative semi-structured interviews and focus groups were conducted with 130 participants, including locums, patients, permanently employed doctors, nurses and other healthcare professionals with governance and recruitment responsibilities for locums across primary and secondary healthcare organisations in the English NHS. Data were collected between March 2021 and April 2022. Data were analysed using reflexive thematic analysis and abductive analysis. RESULTS: Participants described the implications of locum working for quality and safety across five themes: (1) 'familiarity' with an organisation and its patients and staff was essential to delivering safe care; (2) 'balance and stability' of services reliant on locums were seen as at risk of destabilisation and lacking leadership for quality improvement; (3) 'discrimination and exclusion' experienced by locums had negative implications for morale, retention and patient outcomes; (4) 'defensive practice' by locums as a result of perceptions of increased vulnerability and decreased support; (5) clinical governance arrangements, which often did not adequately cover locum doctors. CONCLUSION: Locum working and how locums were integrated into organisations posed some significant challenges and opportunities for patient safety and quality of care. Organisations should take stock of how they work with the locum workforce to improve not only quality and safety but also locum experience and retention.

Relational Coordination at the Primary-Secondary Care Interface: Insights from a Cross-Sectional Survey in the South Tyrolean Healthcare System.

Understanding the dynamics of teamwork and communication among healthcare professionals is crucial in the face of evolving healthcare challenges. This study assessed relational coordination among healthcare professionals in the South Tyrolean healthcare system in Italy, focusing on communication and teamwork dynamics in a cross-sectional survey. Using the validated Relational Coordination Survey (RCS) instrument and 525 completed online responses, the questionnaire aimed to understand the implications of different levels of relational coordination ratings by general practitioners, hospital physicians, nurses, and administrative personnel (response rate 26%). The demographics of the participants revealed a predominance of female professionals (64%), with an average age of 50 and 18 years of service. The resulting RCS scores varied significantly across professional groups, with nurses reporting the highest within-group scores, indicating moderate coordination, and administrators reporting the lowest scores, reflecting areas of weak coordination. Between-group relational coordination was generally perceived as weak across professional groups, with the least weakness observed between general practitioners and nurses. German or Italian language and health district affiliation emerged as significant factors influencing relational coordination ratings, highlighting the need for differentiated understanding and strategies in multilingual and diverse regional settings. Assessments of interdisciplinary feedback and referral practices highlight the variation in teamwork and communication weaknesses and underscore the need for targeted interventions to improve relational coordination. This study provides insights into the complexity of relational dynamics in health care settings. This suggests that improving relational coordination through tailored strategies could significantly improve team effectiveness, quality of patient care, and overall system efficiency.

Barriers and facilitators to use of digital health tools by healthcare practitioners and their patients, before and during the COVID-19 pandemic: a multimethods study.

OBJECTIVES: To explore how healthcare practitioners (HCPs) made decisions about the implementation of digital health technologies (DHTs) in their clinical practice before and during the COVID-19 pandemic. DESIGN: A multimethods study, comprising semistructured interviews conducted prior to the COVID-19 pandemic, supplemented with an online survey that was conducted during the pandemic with a different sample, to ensure the qualitative findings remained relevant within the rapidly changing healthcare context. Participants were recruited through HCP networks, snowballing and social media. Data were analysed thematically. SETTING: Phone interviews and online survey. PARTICIPANTS: HCPs represented a range of professions from primary and secondary care across England, with varied socioeconomic deprivation. RESULTS: 24 HCPs were interviewed, and 16 HCPs responded to the survey. In the interviews, HCPs described three levels where decisions were made, which determined who would have access to what DHTs: health organisation, HCP and patient levels. These decisions resulted in the unequal implementation of DHTs across health services, created barriers for HCPs using DHTs in their practice and influenced HCPs' decisions on which patients to supply DHTs with. In the survey, HCPs described being provided support to overcome some of the barriers at the organisation and HCP level during the pandemic. However, they cited similar concerns to pre-pandemic about barriers patients faced using DHTs (eg, digital literacy). In the absence of centralised guidance on how to manage these barriers, health services made their own decisions about how to adapt their services for those who struggled with DHTs. CONCLUSIONS: Decision-making at the health organisation, HCP and patient levels influences inequalities in access to DHTs for HCPs and patients. The mobilisation of centralised information and resources during the pandemic can be viewed as good practice for reducing barriers to use of DHTs for HCPs. However, attention must also be paid to reducing barriers to accessing DHTs for patients.

The diagnostic accuracy of the Mini-Cog screening tool for the detection of cognitive impairment-A systematic review and meta-analysis.

BACKGROUND: The Mini-Cog is a rapid screening tool that can be administered to older adults to detect cognitive impairment (CI); however, the accuracy of the Mini-Cog to detect CI for older patients in various healthcare settings is unclear. OBJECTIVES: To evaluate the diagnostic accuracy of the Mini-Cog to screen for cognitive impairment in older patients across different healthcare settings. METHODS/DESIGN: We searched nine electronic databases (including MEDLINE, Embase) from inception to January 2023. We included studies with patients ≥60 years old undergoing screening for cognitive impairment using the Mini-Cog across all healthcare settings. A cut-off of ≤ 2/5 was used to classify dementia, mild cognitive impairment (MCI), and cognitive impairment (defined as either MCI or dementia) across various settings. The diagnostic accuracy of the Mini-Cog was assessed against gold standard references such as the Diagnostic and Statistical Manual of Mental Disorders (DSM). A bivariate random-effects model was used to estimate accuracy and diagnostic ability. The risk of bias was assessed using QUADAS-2 criteria. RESULTS: The systematic search resulted in 4,265 articles and 14 studies were included for analysis. To detect dementia (six studies, n = 4772), the Mini-Cog showed 76% sensitivity and 83% specificity. To detect MCI (two studies, n = 270), it showed 84% sensitivity and 79% specificity. To detect CI (eight studies, n = 2152), it had 67% sensitivity and 83% specificity. In the primary care setting, to detect either MCI, dementia, or CI (eight studies, n = 5620), the Mini-Cog demonstrated 73% sensitivity and 84% specificity. Within the secondary care setting (seven studies, n = 1499), the Mini-Cog to detect MCI, dementia or CI demonstrated 73% sensitivity and 76% specificity. A high or unclear risk of bias persisted in the patient selection and timing domain. CONCLUSIONS: The Mini-Cog is a quick and freely available screening tool and has high sensitivity and specificity to screen for CI in older adults across various healthcare settings. It is a practical screening tool for use in time-sensitive and resource-limited healthcare settings.

Epidemiology and classification for canine and feline mammary gland tumors: a histopathological survey of 437 mammary gland tumor biopsies performed in a secondary care hospital in Chiang Mai, Thailand from 2012 to 2019.

Background: Metastatic disease resulting from mammary gland tumors (MGTs) is a known cause of death among dogs and cats. Keys to successful prevention and management strategies involve the accurate recording of diagnostic data. Methods: This retrospective study reviewed the epidemiology and classification of canine mammary gland tumors (CMTs) and feline mammary gland tumors (FMTs), as well as the factors including sex, age, and breed related to the occurrence of these tumors. Accordingly, 1,736 tumor biopsy cases were reported from 2012 to 2019 at Chiang Mai University Small Animal Hospital, Thailand, with 1,639 canine tumor biopsy cases and 97 feline tumor biopsy cases. Results: The proportion of CMTs was reported at 24.5% (401/1,639) for all canine tumor biopsy cases. Benign and malignant tumors were reported at 14.5% (58/401) and 85.5% (343/401) for all CMT cases, respectively. The mean age of dogs affected by benign CMTs was 9.0 ± 3.0 years, which was significantly lower than for malignant CMTs at 9.9 ± 2.8 years (P = 0.0239). According to histopathological classification, benign mixed tumors and simple carcinoma types were highest among benign and malignant CMT cases, respectively. Moreover, female dogs were at significantly higher risk of developing mammary gland tumors (OR = 45.8, 95% CI [3.9-86.0], P < 0.0001) than male dogs, as well as older dogs (>8 years) (OR = 1.7, 95% CI [1.2-2.2], P = 0.0001) compared to young ones (≤8 years). The proportion of FMTs was 37.1% (36/97) for all feline tumor biopsy cases. Benign and malignant tumors for all FMTs were reported at 16.7% (6/36) and 83.3% (30/36), respectively. According to histopathological classifications, adenoma and simple carcinoma were present in the highest proportion among benign and malignant FMTs, respectively. Female cats were at a significantly higher risk of developing mammary gland tumors than male cats (OR = 25.7, 95% CI [3.9-272.8], P < 0.0001). Conclusions and clinical importance: There was a high proportion of MGT cases compared with other tumor cases reported in a secondary care hospital in Chiang Mai, Thailand from 2012 to 2019, and malignant tumor biopsies have been more frequently observed than benign tumor biopsies in both CMT and FMT cases. The resulting data originating from this study can be an aid for veterinary oncologists in better educating clients and planning treatment and prevention strategies and it can be used as a basis for further experimental studies in the oncology section.

Models for delivery and co-ordination of primary or secondary health care (or both) to older adults living in aged care facilities.

BACKGROUND: The number of older people is increasing worldwide and public expenditure on residential aged care facilities (ACFs) is expected to at least double, and possibly triple, by 2050. Co-ordinated and timely care in residential ACFs that reduces unnecessary hospital transfers may improve residents' health outcomes and increase satisfaction with care among ACF residents, their families and staff. These benefits may outweigh the resources needed to sustain the changes in care delivery and potentially lead to cost savings. Our systematic review comprehensively and systematically presents the available evidence of the effectiveness, safety and cost-effectiveness of alternative models of providing health care to ACF residents. OBJECTIVES: Main objective To assess the effectiveness and safety of alternative models of delivering primary or secondary health care (or both) to older adults living in ACFs. Secondary objective To assess the cost-effectiveness of the alternative models. SEARCH METHODS: We searched CENTRAL, MEDLINE, Embase, five other databases and two trials registers (WHO ICTRP, ClinicalTrials.gov) on 26 October 2022, together with reference checking, citation searching and contact with study authors to identify additional studies. SELECTION CRITERIA: We included individual and cluster-randomised trials, and cost/cost-effectiveness data collected alongside eligible effectiveness studies. Eligible study participants included older people who reside in an ACF as their place of permanent abode and healthcare professionals delivering or co-ordinating the delivery of healthcare at ACFs. Eligible interventions focused on either ways of delivering primary or secondary health care (or both) or ways of co-ordinating the delivery of this care. Eligible comparators included usual care or another model of care. Primary outcomes were emergency department visits, unplanned hospital admissions and adverse effects (defined as infections, falls and pressure ulcers). Secondary outcomes included adherence to clinical guideline-recommended care, health-related quality of life of residents, mortality, resource use, access to primary or specialist healthcare services, any hospital admissions, length of hospital stay, satisfaction with the health care by residents and their families, work-related satisfaction and work-related stress of ACF staff. DATA COLLECTION AND ANALYSIS: Two review authors independently selected studies for inclusion, extracted data, and assessed risk of bias and certainty of evidence using GRADE. The primary comparison was any alternative model of care versus usual care. MAIN RESULTS: We included 40 randomised trials (21,787 participants; three studies only reported number of beds) in this review. Included trials evaluated alternative models of care aimed at either all residents of the ACF (i.e. no specific health condition; 11 studies), ACF residents with mental health conditions or behavioural problems (12 studies), ACF residents with a specific condition (e.g. residents with pressure ulcers, 13 studies) or residents requiring a specific type of care (e.g. residents after hospital discharge, four studies). Most alternative models of care focused on 'co-ordination of care' (n = 31). Three alternative models of care focused on 'who provides care' and two focused on 'where care is provided' (i.e. care provided within ACF versus outside of ACF). Four models focused on the use of information and communication technology. Usual care, the comparator in all studies, was highly heterogeneous across studies and, in most cases, was poorly reported. Most of the included trials were susceptible to some form of bias; in particular, performance (89%), reporting (66%) and detection (42%) bias. Compared to usual care, alternative models of care may make little or no difference to the proportion of residents with at least one emergency department visit (risk ratio (RR) 1.01, 95% confidence interval (CI) 0.84 to 1.20; 7 trials, 1276 participants; low-certainty evidence), but may reduce the proportion of residents with at least one unplanned hospital admission (RR 0.74, 95% CI 0.56 to 0.99, I2 = 53%; 8 trials, 1263 participants; low-certainty evidence). We are uncertain of the effect of alternative models of care on adverse events (proportion of residents with a fall: RR 1.15, 95% CI 0.83 to 1.60, I² = 74%; 3 trials, 1061 participants; very low-certainty evidence) and adherence to guideline-recommended care (proportion of residents receiving adequate antidepressant medication: RR 5.29, 95% CI 1.08 to 26.00; 1 study, 65 participants) as the certainty of the evidence is very low. Compared to usual care, alternative models of care may have little or no effect on the health-related quality of life of ACF residents (MD -0.016, 95% CI -0.036 to 0.004; I² = 23%; 12 studies, 4016 participants; low-certainty evidence) and probably make little or no difference to the number of deaths in residents of ACFs (RR 1.03, 95% CI 0.92 to 1.16, 24 trials, 3881 participants, moderate-certainty evidence). We did not pool the cost-effectiveness or cost data as the specific costs associated with the various alternative models of care were incomparable, both across models of care as well as across settings. Based on the findings of five economic evaluations (all interventions focused on co-ordination of care), we are uncertain of the cost-effectiveness of alternative models of care compared to usual care as the certainty of the evidence is very low. AUTHORS' CONCLUSIONS: Compared to usual care, alternative models of care may make little or no difference to the number of emergency department visits but may reduce unplanned hospital admissions. We are uncertain of the effect of alternative care models on adverse events (i.e. falls, pressure ulcers, infections) and adherence to guidelines compared to usual care, as the certainty of the evidence is very low. Alternative models of care may have little or no effect on health-related quality of life and probably have no effect on mortality of ACF residents compared to usual care. Importantly, we are uncertain of the cost-effectiveness of alternative models of care due to the limited, disparate data available.

The patient with a painful knee.

Knee pain encompasses a wide array of differential diagnoses and can often pose a diagnostic challenge, as it can have traumatic or non-traumatic causes. A good clinical history, assessment and anatomical knowledge gives a strong foundation to narrow down the diagnosis, and understanding the correct imaging modality and findings further informs correct and timely management. This article reviews various disease processes including fractures, inflammatory, infective and neoplastic causes, and discusses the assessment and various imaging modalities to aid diagnosis in both primary and secondary care.

Primary and secondary care service use and costs associated with frailty in an ageing population: longitudinal analysis of an English primary care cohort of adults aged 50 and over, 2006-2017.

BACKGROUND: Frailty becomes more prevalent and healthcare needs increase with age. Information on the impact of frailty on population level use of health services and associated costs is needed to plan for ageing populations. AIM: To describe primary and secondary care service use and associated costs by electronic Frailty Index (eFI) category. DESIGN AND SETTING: Retrospective cohort using electronic health records. Participants aged ≥50 registered in primary care practices contributing to the Oxford Royal College of General Practitioners Research and Surveillance Centre, 2006-2017. METHODS: Primary and secondary care use (totals and means) were stratified by eFI category and age group. Standardised 2017 costs were used to calculate primary, secondary and overall costs. Generalised linear models explored associations between frailty, sociodemographic characteristics. Adjusted mean costs and cost ratios were produced. RESULTS: Individual mean annual use of primary and secondary care services increased with increasing frailty severity. Overall cohort care costs for were highest in mild frailty in all 12 years, followed by moderate and severe, although the proportion of the population with severe frailty can be expected to increase over time. After adjusting for sociodemographic factors, compared to the fit category, individual annual costs doubled in mild frailty, tripled in moderate and quadrupled in severe. CONCLUSIONS: Increasing levels of frailty are associated with an additional burden of individual service use. However, individuals with mild and moderate frailty contribute to higher overall costs. Earlier intervention may have the most potential to reduce service use and costs at population level.

The impact of digital technology in care homes on unplanned secondary care usage and associated costs.

BACKGROUND: A substantial number of Emergency Department (ED) attendances by care home residents are potentially avoidable. Health Call Digital Care Homes is an app-based technology that aims to streamline residents' care by recording their observations such as vital parameters electronically. Observations are triaged by remote clinical staff. This study assessed the effectiveness of the Health Call technology to reduce unplanned secondary care usage and associated costs. METHODS: A retrospective analysis of health outcomes and economic impact based on an intervention. The study involved 118 care homes across the North East of UK from 2018 to 2021. Routinely collected NHS secondary care data from County Durham and Darlington NHS Foundation Trust was linked with data from the Health Call app. Three outcomes were modelled monthly using Generalised Linear Mixed Models: counts of emergency attendances, emergency admissions and length of stay of emergency admissions. A similar approach was taken for costs. The impact of Health Call was tested on each outcome using the models. FINDINGS: Data from 8,702 residents were used in the analysis. Results show Health Call reduces the number of emergency attendances by 11% [6-15%], emergency admissions by 25% [20-39%] and length of stay by 11% [3-18%] (with an additional month-by-month decrease of 28% [24-34%]). The cost analysis found a cost reduction of £57 per resident in 2018, increasing to £113 in 2021. INTERPRETATION: The introduction of a digital technology, such as Health Call, could significantly reduce contacts with and costs resulting from unplanned secondary care usage by care home residents.

Implementation of integrated maternity care in the southwestern region of the Netherlands: evaluation of its effect on preterm birth, low birthweight infants and number of secondary care consultations.

OBJECTIVES: To determine whether integrated maternity care is associated with reduced preterm births (PTB) and fewer small-for-gestational-age infants (SGA), and whether its implementation leads to a reduction of secondary care consultations. DESIGN: Retrospective study. SETTING: Integrated maternity care organisation in the southwestern region of the Netherlands. PARTICIPANTS: All singleton pregnancies (≥24 weeks) within integrated maternity care organisation Annature between 2015 and 2020. INTERVENTION: Implementation of a shared maternity record in primary and secondary care. METHODS: Data of 20 818 women were derived from patient records and from the Netherlands Perinatal Registry. Intervention was the introduction of integrated maternity care in January 2018. Through multivariate logistic regression and segmented regression analysis we assessed the combined prevalence of SGA and PTB (SGA-PTB) before (2015-2017), and after the intervention (2018-2020). Regional rates were contrasted with nationwide rates (n=782 176). MAIN OUTCOME MEASURES: SGA-PTB prevalence and mean number of secondary care consultations per pregnancy. RESULTS: SGA-PTB prevalence declined from 618/3443 (17.9%) in 2015 to 560/3501 (16.0%) in 2017 to 507/3459 (14.7%) in 2020 (p<0.005). Mean number of secondary care consultations declined from six per pregnancy in 2015 to three in 2020. Logistic regression demonstrated a significant decline in odds of SGA-PTB (OR 0.83 (95% CI 0.77 to 0.89)) between 2015-2017 and 2018-2020 adjusted for changes in sociodemographic characteristics over time. A statistically significant average monthly 7.3% (p=0.05) reduction in SGA-PTB prevalence and 12.4% (p<0.005) mean monthly reduction in secondary care consultations were demonstrated for 2015-2017. Immediately after the intervention, mean monthly prevalence of SGA-PTB dropped non-significantly to 14.7%. Between 2018 and 2020 a significant 15.2% (p<0.005) reduction in secondary care consultations was shown. CONCLUSION: Our results suggest that implementation of integrated maternity care was associated with reduced PTBs and/or low birth weight, and fewer secondary care consultations. These encouraging findings were observed in a less favourable sociodemographic profile and should be confirmed in other regions with sufficiently large populations, and the possibility to test individual components of integrated maternity care.

A scalable federated learning solution for secondary care using low-cost microcomputing: privacy-preserving development and evaluation of a COVID-19 screening test in UK hospitals.

BACKGROUND: Multicentre training could reduce biases in medical artificial intelligence (AI); however, ethical, legal, and technical considerations can constrain the ability of hospitals to share data. Federated learning enables institutions to participate in algorithm development while retaining custody of their data but uptake in hospitals has been limited, possibly as deployment requires specialist software and technical expertise at each site. We previously developed an artificial intelligence-driven screening test for COVID-19 in emergency departments, known as CURIAL-Lab, which uses vital signs and blood tests that are routinely available within 1 h of a patient's arrival. Here we aimed to federate our COVID-19 screening test by developing an easy-to-use embedded system-which we introduce as full-stack federated learning-to train and evaluate machine learning models across four UK hospital groups without centralising patient data. METHODS: We supplied a Raspberry Pi 4 Model B preloaded with our federated learning software pipeline to four National Health Service (NHS) hospital groups in the UK: Oxford University Hospitals NHS Foundation Trust (OUH; through the locally linked research University, University of Oxford), University Hospitals Birmingham NHS Foundation Trust (UHB), Bedfordshire Hospitals NHS Foundation Trust (BH), and Portsmouth Hospitals University NHS Trust (PUH). OUH, PUH, and UHB participated in federated training, training a deep neural network and logistic regressor over 150 rounds to form and calibrate a global model to predict COVID-19 status, using clinical data from patients admitted before the pandemic (COVID-19-negative) and testing positive for COVID-19 during the first wave of the pandemic. We conducted a federated evaluation of the global model for admissions during the second wave of the pandemic at OUH, PUH, and externally at BH. For OUH and PUH, we additionally performed local fine-tuning of the global model using the sites' individual training data, forming a site-tuned model, and evaluated the resultant model for admissions during the second wave of the pandemic. This study included data collected between Dec 1, 2018, and March 1, 2021; the exact date ranges used varied by site. The primary outcome was overall model performance, measured as the area under the receiver operating characteristic curve (AUROC). Removable micro secure digital (microSD) storage was destroyed on study completion. FINDINGS: Clinical data from 130 941 patients (1772 COVID-19-positive), routinely collected across three hospital groups (OUH, PUH, and UHB), were included in federated training. The evaluation step included data from 32 986 patients (3549 COVID-19-positive) attending OUH, PUH, or BH during the second wave of the pandemic. Federated training of a global deep neural network classifier improved upon performance of models trained locally in terms of AUROC by a mean of 27·6% (SD 2·2): AUROC increased from 0·574 (95% CI 0·560-0·589) at OUH and 0·622 (0·608-0·637) at PUH using the locally trained models to 0·872 (0·862-0·882) at OUH and 0·876 (0·865-0·886) at PUH using the federated global model. Performance improvement was smaller for a logistic regression model, with a mean increase in AUROC of 13·9% (0·5%). During federated external evaluation at BH, AUROC for the global deep neural network model was 0·917 (0·893-0·942), with 89·7% sensitivity (83·6-93·6) and 76·6% specificity (73·9-79·1). Site-specific tuning of the global model did not significantly improve performance (change in AUROC <0·01). INTERPRETATION: We developed an embedded system for federated learning, using microcomputing to optimise for ease of deployment. We deployed full-stack federated learning across four UK hospital groups to develop a COVID-19 screening test without centralising patient data. Federation improved model performance, and the resultant global models were generalisable. Full-stack federated learning could enable hospitals to contribute to AI development at low cost and without specialist technical expertise at each site. FUNDING: The Wellcome Trust, University of Oxford Medical and Life Sciences Translational Fund.

The role of a mobile hearing application in secondary care ENT (HAppENT).

OBJECTIVE: Sudden hearing loss is a common presentation to ENT. In the authors' practice, patients often wait many weeks for formal hearing testing. This study aimed to assess whether a tablet-based hearing test, hearTest, could aid clinical decision-making within secondary care ENT. METHOD: This was a multi-centre, prospective, non-randomised study to assess the feasibility, usability and accuracy of hearTest. RESULTS: In the sample, hearTest was shown to be an acceptable method of testing for hearing loss by both patients and clinicians. The 0.5-4 kHz range had an average clinical agreement rate of 95.1 per cent when compared with formal pure tone audiometry, deeming it an accurate test to diagnose hearing loss. CONCLUSION: The authors propose that hearTest can be used within ENT as a clinical decision support tool when manual audiometry is not immediately available. Within the authors' practice, hearTest is used to aid diagnosis and management of sudden sensorineural hearing loss.