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INTRODUCTION: Elective surgical hubs focusing on high-volume routine surgery using protected facilities and ringfenced resources are key to NHS England's elective recovery strategy. In May 2021, the Getting It Right First Time initiative introduced the high-volume low-complexity programme to coordinate new and existing hubs nationally, and to provide a framework for delivery. This paper presents results from the first national survey to identify their prevalence, location and configuration, the provision of care offered and the contextual setting within healthcare providers in order to provide a strong foundation for future research. METHODS: NHS regional leads were invited to participate in a survey conducted in March 2022 and disseminated by NHS England. RESULTS: A total of 87 elective surgical hubs were identified across 64 acute NHS trusts in England. London, the Midlands and the South East had the greatest concentration of hubs per trust. The contextual setting of hubs within healthcare providers varied widely. Two-fifths (43%) were configured as stand-alone, 34% as integrated and 23% as ringfenced hubs. Half (49%) were established before 2019. Seventy-six per cent catered for patients attending for either day-case or inpatient surgery. The majority (72%) covered multiple specialties, with 80% specialising in trauma and orthopaedic surgery. Two-fifths (43%) provided enhanced care. CONCLUSIONS: Elective surgical hubs are widespread across NHS regions in England. There is wide variation in hub configuration and capacity as well as in the provision of care offered and their contextual setting within healthcare providers, suggesting that the optimal hub model has not been established. Further research into the efficacy of elective hubs is required to aid their potential role in reducing waiting lists and improving quality of care. [ABSTRACT FROM AUTHOR]

Background: NHS England encourages the use of online consultation (OC) systems alongside traditional access methods for patients to contact their general practice online and for practices to manage workflow. Access is a key driver of patients' primary care experience. The use of online technology and patient experience vary by sociodemographic characteristics., Objective: This study aims to assess the association between OC system use and patient experience of primary care in English general practice and how that varies by OC system model and practice sociodemographic characteristics (rurality, deprivation, age, and ethnicity)., Methods: We categorized practices as "low-use" or "high-use" according to the volume of patient-initiated contacts made via the OC system. We considered practices using one of 2 OC systems with distinct designs and implementation models-shorter "free text" input with an embedded single workflow OC system (FT practices) and longer "mixed text" input with variation in implemented workflow OC system (MT practices). We used 2022 General Practice Patient Survey data to capture 4 dimensions of patient experience-overall experience, experience of making an appointment, continuity of care, and use of self-care before making an appointment. We used logistic regression at the practice level to explore the association between OC system use and patient experience, including interaction terms to assess sociodemographic variation., Results: We included 287,194 responses from 2423 MT and 170 FT practices. The proportions of patients reporting positive experiences at MT and FT practices were similar or better than practices nationally, except at high-use MT practices. At high-use MT practices, patients were 19.8% (odds ratio [OR] 0.802, 95% CI 0.782-0.823) less likely to report a good overall experience; 24.5% (OR 0.755, 95% CI 0.738-0.773) less likely to report a good experience of making an appointment; and 18.9% (OR 0.811, 95% CI 0.792-0.83) less likely to see their preferred general practitioner; but 27.8% (OR 1.278, 95% CI 1.249-1.308) more likely to use self-care, compared with low-use MT practices. Opposite trends were seen at FT practices. Sociodemographic inequalities in patient experience were generally lower at high-use than low-use practices; for example, gaps in overall experience between practices with the most and fewest White patients decreased by 2.7 percentage points at MT practices and 6.4 percentage points at FT practices. Trends suggested greater improvements in experience for traditionally underserved groups-patients from urban and deprived areas, younger patients, and non-White patients., Conclusions: An OC system with shorter free text input and an integrated single workflow can enhance patient experience and reduce sociodemographic inequalities. Variation in patient experience between practices with different sociodemographic characteristics and OC systems underscores the importance of tailored design and implementation. Generalizing results across different OC systems is difficult due to variations in how they are integrated into practice workflows and communicated to patients., (©Xiaochen Ge, Paul Chappell, Jean Ledger, Minal Bakhai, Geraldine M Clarke. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 26.07.2024.)

Objectives: Investigate trends in continuity of care with a general practitioner (GP) before and during the COVID-19 pandemic. Identify whether continuity of care is associated with consultation mode, controlling for other patient and practice characteristics., Design: Retrospective cross-sectional and longitudinal observational studies., Setting: Primary care records from 389 general practices participating in Clinical Practice Research Datalink Aurum in England., Participants: In the descriptive analysis, 100 000+ patients were included each month between April 2018 and April 2021. Modelling of the association between continuity of care and consultation mode focused on 153 475 and 125 298 patients in index months of February 2020 (before the pandemic) and February 2021 (during the pandemic) respectively, and 76 281 patients in both index months., Primary and Secondary Outcomes Measures: The primary outcome measure was the Usual Provider of Care index. Secondary outcomes included the Bice-Boxerman index and count of consultations with the most frequently seen GP., Results: Continuity of care was gradually declining before the pandemic but stabilised during it. There were consistent demographic, socioeconomic and regional differences in continuity of care. An average of 23% of consultations were delivered remotely in the year to February 2020 compared with 76% in February 2021. We found little evidence consultation mode was associated with continuity at the patient level, controlling for a range of covariates. In contrast, patient characteristics and practice-level supply and demand were associated with continuity., Conclusions: We set out to examine the association of consultation mode with continuity of care but found that GP supply and patient demand were much more important. To improve continuity for patients, primary care capacity needs to increase. This requires sufficient, long-term investment in clinicians, staff, facilities and digital infrastructure. General practice also needs to transform ways of working to ensure continuity for those that need it, even in a capacity-constrained environment., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: The COVID-19 pandemic has led to an ongoing increase in the use of remote consultations in general practice in England. Although the evidence is limited, there are concerns that the increase in remote consultations could lead to more antibiotic prescribing., Methods: In this cohort study, we used patient-level primary care data from the Clinical Practice Research Datalink to estimate the association between consultation mode (remote versus face-to-face) and antibiotic prescribing in England for acute respiratory infections (ARI) between April 2021 and March 2022. Eligibility criteria were applied at both practice-level and patient-level. 400 practices in England were sampled at random and then 600,000 patients were randomly sampled from the eligible patients (whose sex was recorded). Consultations for acute respiratory infections were identified. All antibiotic prescriptions were included, with the exception of antituberculosis drugs and antileprotic drugs, as identified through chapter 5.1 of the British National Formulary. The CPRD Aurum data was linked to the COVID-19 ONS infection survey by region. All analyses were done at the individual level. Repeated consultations from the same patient within 7 days were grouped together. We used targeted maximum likelihood estimation, a causal machine learning method with adjustment for infection type and patient-level, clinician-level and practice-level factors., Findings: There were 45,997 ARI consultations (34,555 unique patients) within the study period, of which 28,127 were remote and 17,870 were face-to-face. For children, 48% of consultations were remote and, for adults, 66% were remote. For children, 42% of remote and 43% of face-to-face consultations led to an antibiotic prescription; the equivalent values for adults were 52% and 42%, respectively. After adjustment with TMLE, adults with a remote consultation had 23% (odds ratio [OR] 1.23, 95% CI: 1.18-1.29) higher chance of being prescribed antibiotics than if they had been seen face-to-face. We found no significant association between consultation mode and antibiotic prescribing in children (OR 1.04 95% CI: 0.98-1.11)., Interpretation: The higher rates of antibiotic prescribing in remote consultations for adults are cause for concern. We see no significant difference in antibiotic prescribing between consultation mode for children. These findings should inform antimicrobial stewardship activities for health-care professionals and policy makers. Future research should examine differences in guideline-compliance between remote and face-to-face consultations to understand the factors driving antibiotic prescribing in different consultation modes., Funding: None., Competing Interests: We declare no competing interests., (© 2023 The Author(s).)

Objectives: To explore trends in patient-initiated requests for general practice services and the association between patient characteristics including demographics, preferences for care and clinical needs and modes of patient contact (online vs telephone), and care delivery (face-to-face vs remote) at practices using a modern access model., Design: Retrospective repeated cross-sectional study spanning March 2019 to February 2022., Setting: General practices in England using the askmyGP online consultation system to implement a modern general practice access model using digital and non-digital (multimodal) access pathways and digitally supported triage to manage patient-initiated requests., Participants: 10 435 465 patient-initiated requests from 1 488 865 patients at 154 practices., Results: Most requests were initiated online (72.1% in 2021/2022) rather than by telephone. Online users were likely to be female, younger than 45 years, asking about existing medical problems, had used the system before and frequent attenders (familiar patients). During the pandemic, request rates for face-to-face consultations fell while those for telephone consultations and online messages increased, with telephone consultations being most popular (53.8% in 2021/2022). Video was seldom requested. More than 60% of requests were consistently delivered in the mode requested. Face-to-face consultations were more likely to be used for the youngest and oldest patients, new medical problems, non-frequent attenders (unfamiliar patients) and those who requested a face-to-face consultation. Over the course of the study, request rates for patients aged over 44 years increased, for example, by 15.4% (p<0.01) for patients aged over 74 years. Rates for younger patients decreased by 32.6% (p<0.001) in 2020/2021, compared with 2019/2020, before recovering to prepandemic levels in 2021/2022., Conclusions: Demand patterns shed light on the characteristics of patients making requests for general practice services and the composition of the care backlog with implications for policy and practice. A modern general practice access model can be used effectively to manage patient-initiated demand., Competing Interests: Competing interests: AD and GC declare no competing interests. PC worked as a data analyst for NHS England during the course of this project. JL worked as a freelance consultant to NHS England and academic researcher during the course of this project. JL and MB receive financial support from NHS England for attending meetings., (© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Purpose: Latent grade group ≥2 prostate cancer can impact the performance of active surveillance protocols. To date, molecular biomarkers for active surveillance have relied solely on RNA or protein. We trained and independently validated multimodal (mRNA abundance, DNA methylation, and/or DNA copy number) biomarkers that more accurately separate grade group 1 from grade group ≥2 cancers., Materials and Methods: Low- and intermediate-risk prostate cancer patients were assigned to training (n=333) and validation (n=202) cohorts. We profiled the abundance of 342 mRNAs, 100 DNA copy number alteration loci, and 14 hypermethylation sites at 2 locations per tumor. Using the training cohort with cross-validation, we evaluated methods for training classifiers of pathological grade group ≥2 in centrally reviewed radical prostatectomies. We trained 2 distinct classifiers, PRONTO-e and PRONTO-m, and validated them in an independent radical prostatectomy cohort., Results: PRONTO-e comprises 353 mRNA and copy number alteration features. PRONTO-m includes 94 clinical, mRNAs, copy number alterations, and methylation features at 14 and 12 loci, respectively. In independent validation, PRONTO-e and PRONTO-m predicted grade group ≥2 with respective true-positive rates of 0.81 and 0.76, and false-positive rates of 0.43 and 0.26. Both classifiers were resistant to sampling error and identified more upgrading cases than a well-validated presurgical risk calculator, CAPRA (Cancer of the Prostate Risk Assessment; P < .001)., Conclusions: Two grade group classifiers with superior accuracy were developed by incorporating RNA and DNA features and validated in an independent cohort. Upon further validation in biopsy samples, classifiers with these performance characteristics could refine selection of men for active surveillance, extending their treatment-free survival and intervals between surveillance.

Background: The COVID-19 pandemic has had a significant impact on primary care service delivery with an increased use of remote consultations. With general practice delivering record numbers of appointments and rising concerns around access, funding, and staffing in the UK National Health Service, we assessed contemporary trends in consultation rate and modes (ie, face-to-face versus remote)., Objective: This paper describes trends in consultation rates in general practice in England for key demographics before and during the COVID-19 pandemic. We explore the use of remote and face-to-face consultations with regard to socioeconomic deprivation to understand the possible effect of changes in consultation modes on health inequalities., Methods: We did a retrospective analysis of 9,429,919 consultations by general practitioners, nurses, or other health care professionals between March 2018 and February 2022 for patients registered at 397 general practices in England. We used routine electronic health records from Clinical Practice Research Datalink Aurum with linkage to national data sets. Negative binomial models were used to predict consultation rates and modes (ie, remote versus face-to-face) by age, sex, and socioeconomic deprivation over time., Results: Overall consultation rates increased by 15% from 4.92 in 2018-2019 to 5.66 in 2021-2022 with some fluctuation during the start of the COVID-19 pandemic. The breakdown into face-to-face and remote consultations shows that the pandemic precipitated a rapid increase in remote consultations across all groups, but the extent varies by age. Consultation rates increased with increasing levels of deprivation. Socioeconomic differences in consultation rates, adjusted for sex and age, halved during the pandemic (from 0.36 to 0.18, indicating more consultations in the most deprived), effectively narrowing relative differences between deprivation quintiles. This trend remains when stratified by sex, but the difference across deprivation quintiles is smaller for men. The most deprived saw a relatively larger increase in remote and decrease in face-to-face consultation rates compared to the least deprived., Conclusions: The substantial increases in consultation rates observed in this study imply an increased pressure on general practice. The narrowing of consultation rates between deprivation quintiles is cause for concern, given ample evidence that health needs are greater in more deprived areas., (©Emma Maria Vestesson, Kaat Lieve An De Corte, Elizabeth Crellin, Jean Ledger, Minal Bakhai, Geraldine M Clarke. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 02.05.2023.)

Objective: To compare the original synthetic control (OSC) method with alternative approaches (Generalized [GSC], Micro [MSC], and Bayesian [BSC] synthetic control methods) and re-evaluate the impact of a significant restructuring of urgent and emergency care in Northeast England, which included the opening of the UK's first purpose-built specialist emergency care hospital., Data Sources: Simulations and data from Secondary Uses Service data, a single comprehensive repository for patient-level health care data in England., Study Design: Hospital use of individuals exposed and unexposed to the restructuring is compared. We estimate the impact using OSC, MSC, BSC, and GSC applied at the general practice level. We contrast the estimation methods' performance in a Monte Carlo simulation study., Data Collection/extraction Methods: Hospital activity data from Secondary Uses Service for patients aged over 18 years registered at a general practice in England from April 2011 to March 2019., Principal Findings: None of the methods dominated all simulation scenarios. GSC was generally preferred. In contrast to an earlier evaluation that used OSC, GSC reported a smaller impact of the opening of the hospital on Accident and Emergency (A&E) department (also known as emergency department or casualty) visits and no evidence for any impact on the proportion of A&E patients seen within 4 h., Conclusions: The simulation study highlights cases where the considered methods may lead to biased estimates in health policy evaluations. GSC was found to be the most reliable method of those considered. Considering more disaggregated data over a longer time span and applying GSC indicates that the specialist emergency care hospitals in Northumbria had less impact on A&E visits and waiting times than suggested by the original evaluation which applied OSC to more aggregated data., (© 2022 The Authors. Health Services Research published by Wiley Periodicals LLC on behalf of Health Research and Educational Trust.)

Purpose: MRI-guided transurethral ultrasound ablation (TULSA) uses real-time MR thermometry feedback to target prostate disease. We systematically review the literature to synthesize efficacy, functional, and safety outcomes and assess the influence of planned ablation fraction on outcome. Materials and Methods: PubMed, Embase, and the Cochrane Library were searched from inception to June 2021 following Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. Studies reporting at least one efficacy, functional, or safety outcome after a single TULSA treatment were included. The relationship of freedom from salvage treatment and potency preservation with planned ablation volume was modeled. Results: Two hundred twenty-four patients were treated in 10 studies with up to a 5-year follow-up, mainly for primary localized prostate cancer (PCa) plus smaller cohorts with recurrent PCa, and locally advanced PCa (LAPC). The prostate-specific antigen decline from baseline up to 2 years, including focal to whole-gland ablation plans, was 54% to 97%. The rate of salvage treatment after one TULSA treatment for primary PCa was 7% to 17%. Continence and potency preservation were from 92% to 100% and from 75% to 98%. Urinary symptoms were stable in men with good voiding function at baseline, and 85% of men with concurrent PCa and lower urinary tract symptoms met the criteria for improvement. Symptom relief in a small cohort of men with LAPC was observed. Grade III adverse events were incurred by 13/224 men (6%), with no rectal injury/fistula or Grade IV complication. The planned ablation fraction was linearly related to salvage-free survival. The relationship between potency preservation and planned ablation fraction followed a sigmoid curve. Conclusions: As an alternative to conventional treatments, TULSA is safe and effective for prostate tissue ablation in men with primary PCa. There is also evidence that TULSA delivers effective relief of urinary symptoms while treating PCa in a single, low-morbidity procedure. The likelihood of freedom from additional treatment or potency preservation is associated with the planned ablation fraction.