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Objectives: In 2018, NHS England mandated that all patients in England should be able to access general practice services outside of ordinary hours. While some patients would access additional hours at their own practice, others would need supra-practice level provision - that is, they would be seen in a different location and by a different care team. The policy aim was to enhance patient access to care, with a particular focus on those who work during the day. This study examines (a) how supra-practice level provision of extended access appointments for general medical problems are operationalised and (b) whether the aims of the policy are being met., Methods: This study presents qualitative comparative case studies of two contrasting service providers offering extended access. The data collected included 30 hours of clinician-patient observations, 25 interviews with staff, managers, and commissioners, 20 interviews with patients, organisational protocols/documentation, and routinely collected appointment data. Thematic analysis ran concurrently with data gathering and facilitated the iterative adaptation of data collection., Results: Three cross-cutting themes were identified: extended access is being used to bolster a struggling primary care system, extended access provides a different service to in-hours general practice, and it is difficult for extended access to provide seamless care., Conclusions: Supra-practice access models can provide effective care for most patients with straightforward issues. When ongoing management of complex problems is required, this model of patient care can be problematic., Competing Interests: Declaration of conflicting interestsThe author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: The position of the lead researcher (PBu) as a GP may raise questions as to whether their role influenced the collection and interpretation of data. To address this, PBu used a reflexive diary throughout this study. PBu found that his view of extended access changed throughout the project and became more nuanced. Towards the end of the project PBu reflected that whilst extended access differs from ‘traditional’ general practice, it provides many extra appointments in a primary care system that is struggling to cope.

Background: There is an international trend towards the at-scale provision of primary care services, with such services often provided in different settings by a clinician unfamiliar to the patient. It is often assumed that, in the absence of relational continuity, any competent clinician can deliver joined-up, continuous care if they have access to clinical notes., Aim: To explore the factors that affect the potential for providing joined-up, continuous care in a system where care is delivered away from a patient's regular practice, by a different organisation and set of staff., Design and Setting: Case studies of two extended-access providers in the north of England., Method: Case studies were carried out between September 2021 and January 2022 in two sites. Data collected included observations of patient-healthcare professional interactions, interviews with staff and patients, and documentation. Analysis took place using a constant comparison approach. Data were coded. A model of the factors affecting continuity was constructed., Results: The potential for joined-up, continuous care appears dependent on staff, patient, and system factors. This includes diverse elements such as the attitude of clinicians to care coordination and the ability of an organisation to retain staff., Conclusion: Healthcare systems increasingly rely on the assumption that any competent clinician can deliver joined-up, continuous care if they have access to clinical notes. This appears not to be the case. This study presents a model of factors affecting the patient's experience of continuity. The model needs validating in in-hours general practice and other settings., (© The Authors.)

Background : Equitable access to healthcare is a priority of many healthcare systems, aiming to ensure access is driven by need and not minority groups such as those defined by sexual orientation. However, there are healthcare areas where inequity in access across sexual orientation groups is found that are not justified based on need. Mandated LGBTQ+-specific training of the healthcare workforce may help address some barriers of access for these groups. The study aims to understand the potential economic implications for mandated LGBTQ+-specific healthcare training on the healthcare system in England, UK to inform commissioning of training provision. Methods : Cervical cancer screening was used as an exemplar case where there appears to be inequity in access for different sexual orientation groups. A decision model was developed and analysed that considered the impacts of greater uptake of screening for lesbian and bisexual women due to LGBTQ+ training. Costs took the perspective of the healthcare system and outcomes modelled were cancer cases averted in a timeframe of 5 years. Results : Based on cervical cancer screening alone, where training costs are fully attributed to this service, training would likely result in fewer cancer cases detected in the lesbian and bisexual populations, though this comes at a modest increase in healthcare sector costs, with this increase largely reflecting a greater volume of screens. Training costs do not appear to be a major component of the cost implications. Conclusions : In resource-constrained systems with increasing pressures for efficiency savings, the opportunity cost of delivering training is a realistic component of the commissioning decision. The findings in this paper provide a signal that mandated LGBTQ+ training in healthcare could lead to potentially greater outcomes and in breaking down barriers of access and could also enable the healthcare system to provide more equitable access to healthcare.

Introduction: The World Health Organisation declared a global pandemic in March 2020. The impact of COVID-19 has not been felt equally by all regions and sections of society. The extent to which socio-demographic and deprivation factors have adversely impacted on outcomes is of concern to those looking to 'level-up' and decrease widening health inequalities., Objectives: In this paper we investigate the impact of deprivation on the outcomes for hospitalised COVID-19 patients in Greater Manchester during the first wave of the pandemic in the UK (30/12/19-2/1/21), controlling for proven risk factors from elsewhere in the literature., Methods: We fitted Negative Binomial and logistic regression models to NHS administrative data to investigate death from COVID in hospital and length of stay for surviving patients in a sample of adult patients admitted within Greater Manchester (N = 10,372, spell admission start dates from 30/12/2019 to 02/01/2021 inclusive)., Results: Deprivation was associated with death risk for hospitalised patients but not with length of stay. Male sex, co-morbidities and older age was associated with higher death risk. Male sex and co-morbidities were associated with increased length of stay. Black and other ethnicities stayed longer in hospital than White and Asian patients. Period effects were detected in both models with death risk reducing over time, but the length of stay increasing., Conclusion: Deprivation is important for death risk; however, the picture is complex, and the results of this analysis suggest that the reported COVID related mortality and deprivation linked reductions in life expectancy, may have occurred in the community, rather than in acute settings., Highlights: Older age and male sex are predictive of longer hospital stays and higher death risk for hospitalised cases in this analysis.Deprivation is associated with death risk but not length of stay for hospitalised patients.Ethnicity is associated with length of stay, but not with death risk.There is a social gradient in health, but these data would suggest that once in the care of an NHS hospital in an acute health episode, outcomes are more equal., Competing Interests: Statement on conflicts of interest: The authors have no conflicts of interest to declare.

Background: The NHS Diabetes Prevention Programme (DPP) in England is a behavioural intervention for preventing type 2 diabetes mellitus (T2DM) among people with non-diabetic hyperglycaemia (NDH). How this programme affects inequalities by age, sex, limiting illnesses or disability, ethnicity or deprivation is not known., Methods: We used multinomial and binary logistic regression models to compare whether the population with NDH at different stages of the programme are representative of the population with NDH: stages include (1) prevalence of NDH (using survey data from UK Household Longitudinal Study (n=794) and Health Survey for England (n=1383)); (2) identification in primary care and offer of programme (using administrative data from the National Diabetes Audit (n=1 267 350)) and (3) programme participation (using programme provider records (n=98 024))., Results: Predicted probabilities drawn from the regressions with demographics as each outcome and dataset identifier as predictors showed that younger adults (aged under 40) (4% of the population with NDH (95% CI 2.4% to 6.5%)) and older adults (aged 80 and above) (12% (95% CI 9.5% to 14.2%)) were slightly under-represented among programme participants (2% (95% CI 1.8% to 2.2%) and 8% (95% CI 7.8% to 8.2%) of programme participants, respectively). People living in deprived areas were under-represented in eight sessions (14% (95% CI 13.7% to 14.4%) vs 20% (95% CI 16.4% to 23.6%) in the general population). Ethnic minorities were over-represented among offers (35% (95% CI 35.1% to 35.6%) vs 13% (95% CI 9.1% to 16.4%) in general population), though the proportion dropped at the programme completion stage (19% (95% CI 18.5% to 19.5%))., Conclusion: The DPP has the potential to reduce ethnic inequalities, but may widen socioeconomic, age and limiting illness or disability-related inequalities in T2DM. While ethnic minority groups are over-represented at the identification and offer stages, efforts are required to support completion of the programme. Programme providers should target under-represented groups to ensure equitable access and narrow inequalities in T2DM., 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: To support proactive care during the coronavirus pandemic, a digital COVID-19 symptom tracker was deployed in Greater Manchester (UK) care homes. This study aimed to understand what factors were associated with the post-uptake use of the tracker and whether the tracker had any effects in controlling the spread of COVID-19., Methods: Daily data on COVID-19, tracker uptake and use, and other key indicators such as staffing levels, the number of staff self-isolating, availability of personal protective equipment, bed occupancy levels, and any problems in accepting new residents were analysed for 547 care homes across Greater Manchester for the period April 2020 to April 2021. Differences in tracker use across local authorities, types of care homes, and over time were assessed using correlated effects logistic regressions. Differences in numbers of COVID-19 cases in homes adopting versus not adopting the tracker were compared via event design difference-in-difference estimations., Results: Homes adopting the tracker used it on 44% of days post-adoption. Use decreased by 88% after one year of uptake (odds ratio 0.12; 95% confidence interval 0.06-0.28). Use was highest in the locality initiating the project (odds ratio 31.73; 95% CI 3.76-268.05). Care homes owned by a chain had lower use (odds ratio 0.30; 95% CI 0.14-0.63 versus single ownership care homes), and use was not associated with COVID-19 or staffing levels. Tracker uptake had no impact on controlling COVID-19 spread. Staff self-isolating and local area COVID-19 cases were positively associated with lagged COVID-19 spread in care homes (relative risks 1.29; 1.2-1.4 and 1.05; 1.0-1.1, respectively)., Conclusions: The use of the COVID-19 symptom tracker in care homes was not maintained except in Locality 1 and did not appear to reduce the COVID-19 spread. COVID-19 cases in care homes were mainly driven by care home local-area COVID-19 cases and infections among the staff members. Digital deterioration trackers should be co-produced with care home staff, and local authorities should provide long-term support in their adoption and use., (© 2023. The Author(s).)

Nearly half a century ago, two papers postulated the likelihood of lunar lava tube caves using mathematical models. Today, armed with an array of orbiting and fly-by satellites and survey instrumentation, we have now acquired cave data across our solar system-including the identification of potential cave entrances on the Moon, Mars, and at least nine other planetary bodies. These discoveries gave rise to the study of planetary caves. To help advance this field, we leveraged the expertise of an interdisciplinary group to identify a strategy to explore caves beyond Earth. Focusing primarily on astrobiology, the cave environment, geology, robotics, instrumentation, and human exploration, our goal was to produce a framework to guide this subdiscipline through at least the next decade. To do this, we first assembled a list of 198 science and engineering questions. Then, through a series of social surveys, 114 scientists and engineers winnowed down the list to the top 53 highest priority questions. This exercise resulted in identifying emerging and crucial research areas that require robust development to ultimately support a robotic mission to a planetary cave-principally the Moon and/or Mars. With the necessary financial investment and institutional support, the research and technological development required to achieve these necessary advancements over the next decade are attainable. Subsequently, we will be positioned to robotically examine lunar caves and search for evidence of life within Martian caves; in turn, this will set the stage for human exploration and potential habitation of both the lunar and Martian subsurface., Competing Interests: The authors declare no conflicts of interest relevant to this study., (© 2022. The Authors.)

Background: Extended access services were introduced to help stop declining patient satisfaction with access to general practice. There has been no evaluation, at a practice population level, as to how the introduction of these services has impacted patients., Aim: To explore the association between practices offering extended access and patient responses to the GP Patient Survey (GPPS)., Design & Setting: An observational study was carried out. Patient experience data were taken from the national GPPS in England (2018 and 2019). Data on the provision of extended access services were sourced from NHS England. The analyses considered potential confounding factors. These were sourced from publicly available data about practice characteristics from NHS Digital, NHS England, and government websites., Method: The percentage of patients reporting positive responses to questions related to satisfaction with access, continuity of care, and overall satisfaction were modelled. The association between these outcomes and the provision of extended access were estimated via multivariable fixed-effects linear regression., Results: There were no associations between practices offering extended access services and key indicators of patient experience or satisfaction at a practice population level., Conclusion: Extended access has a cost of an estimated 250 million GBP per year. While there is a body of work that finds associations with emergency department use reduction, at a practice population level, in this study it has been found that extended access had no measurable impact. This may be because extended access services are only used by a small number of patients, and its introduction has not significantly impacted general practices and most general practice patients., (Copyright © 2022, The Authors.)

Objectives: To estimate the 'rule of halves' for diabetes care for urban and rural areas in England using several data sources covering the period 2015-2017; and to examine the extent to which any differences in urban and rural settings are explained by population characteristics and the workforce supply of primary care providers (general practices)., Design: A retrospective observational study., Setting: Populations resident in predominantly urban and rural areas in England (2015-2017)., Participants: N=33 336 respondents to the UK Household Longitudinal Survey in urban and rural settings in England; N=4913 general practices in England reporting to the National Diabetes Audit and providing workforce data to NHS Digital., Outcomes: Diabetes prevalence; administrative records of diagnoses of diabetes; provision of (all eight) recommended diabetes care processes; diabetes treatment targets., Results: Diabetes prevalence was higher in urban areas in England (7.80% (95% CI 7.30% to 8.31%)) relative to rural areas (7.24% (95% CI 6.32% to 8.16%)). For practices in urban areas, relatively fewer cases of diabetes were recorded in administrative medical records (69.55% vs 71.86%), and a smaller percentage of those registered received the appropriate care (45.85% vs 49.32%). Among estimated prevalent cases of diabetes, urban areas have a 24.84% achieving these targets compared with 25.16% in rural areas. However, adjusted analyses showed that the performance of practices in urban areas in providing appropriate care quality was not significantly different from practices in rural areas., Conclusions: The 'rule of halves' is not an accurate description of the actual pattern across the diabetes care pathway in England. More than half of the estimated urban and rural diabetes population are registered with clinical practices and have access to treatment. However, less than half of those registered for treatment have achieved treatment targets. Appropriate care quality was associated with a greater proportion of patients with diabetes achieving treatment targets., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ.)

There is concern that pay-for-performance (P4P) can negatively affect general practitioners (GPs) by reducing their autonomy, increasing their wage dispersion or eroding their intrinsic motivation. This is especially a concern for the Quality and Outcomes Framework (QOF), a highly powered P4P scheme for UK GPs. The QOF affected all GPs but the exposure of their income to P4P varied. GPs did not know their level of exposure before the QOF was introduced and could not choose or manage it. We examine whether changes in GPs' job satisfaction before and after the introduction of the QOF in 2004 were correlated with the proportion of their income that became exposed to P4P. We use data on 1920 GPs observed at three time points spanning the introduction of the QOF; 2004, 2005 and 2008. We estimate the effect of exposure to P4P using a continuous difference-in-differences model. We find no significant effects of P4P exposure on overall job satisfaction or 12 additional measures of working lives in either the short or longer term. The level of exposure to P4P does not harm job satisfaction or other aspects of working lives. Policies influencing the exposure of income to P4P are unlikely to alter GP job satisfaction subject to final income remaining constant., (Copyright © 2016 Elsevier Ltd. All rights reserved.)

The sustainability of publicly funded health care systems is an issue for governments around the world. The economic climate limits governments' fiscal capacity to continue to devote an increasing share of public funds to health care. Meanwhile the demands for health care within populations continue to increase. Planning the future requirements for health care is typically based on applying current levels of health service use by age to demographic projections of the population. But changes in age-specific levels of health over time would undermine this 'constant use by age' assumption. We use representative Canadian survey data (Canadian Community Health Survey) covering the period 2001-2012, to identify the separate trends in demography (population ageing) and epidemiology (population health) on self-reported health. We propose an approach to estimating future health care requirements that incorporates cohort trends in health. Overall health care requirements for the population increase as the size and mean age of the population increase, but these effects are mitigated by cohort trends in health-we find the estimated need for health care is lower when models account for cohort effects in addition to age effects., (Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.)