The use and impact of digital COVID-19 tracking in adult social care: a prospective cohort study of care homes in Greater Manchester.

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.

Excess years of life lost to COVID-19 and other causes of death by sex, neighbourhood deprivation, and region in England and Wales during 2020: A registry-based study.

BACKGROUND: Deaths in the first year of the Coronavirus Disease 2019 (COVID-19) pandemic in England and Wales were unevenly distributed socioeconomically and geographically. However, the full scale of inequalities may have been underestimated to date, as most measures of excess mortality do not adequately account for varying age profiles of deaths between social groups. We measured years of life lost (YLL) attributable to the pandemic, directly or indirectly, comparing mortality across geographic and socioeconomic groups. METHODS AND FINDINGS: We used national mortality registers in England and Wales, from 27 December 2014 until 25 December 2020, covering 3,265,937 deaths. YLLs (main outcome) were calculated using 2019 single year sex-specific life tables for England and Wales. Interrupted time-series analyses, with panel time-series models, were used to estimate expected YLL by sex, geographical region, and deprivation quintile between 7 March 2020 and 25 December 2020 by cause: direct deaths (COVID-19 and other respiratory diseases), cardiovascular disease and diabetes, cancer, and other indirect deaths (all other causes). Excess YLL during the pandemic period were calculated by subtracting observed from expected values. Additional analyses focused on excess deaths for region and deprivation strata, by age-group. Between 7 March 2020 and 25 December 2020, there were an estimated 763,550 (95% CI: 696,826 to 830,273) excess YLL in England and Wales, equivalent to a 15% (95% CI: 14 to 16) increase in YLL compared to the equivalent time period in 2019. There was a strong deprivation gradient in all-cause excess YLL, with rates per 100,000 population ranging from 916 (95% CI: 820 to 1,012) for the least deprived quintile to 1,645 (95% CI: 1,472 to 1,819) for the most deprived. The differences in excess YLL between deprivation quintiles were greatest in younger age groups; for all-cause deaths, a mean of 9.1 years per death (95% CI: 8.2 to 10.0) were lost in the least deprived quintile, compared to 10.8 (95% CI: 10.0 to 11.6) in the most deprived; for COVID-19 and other respiratory deaths, a mean of 8.9 years per death (95% CI: 8.7 to 9.1) were lost in the least deprived quintile, compared to 11.2 (95% CI: 11.0 to 11.5) in the most deprived. For all-cause mortality, estimated deaths in the most deprived compared to the most affluent areas were much higher in younger age groups, but similar for those aged 85 or over. There was marked variability in both all-cause and direct excess YLL by region, with the highest rates in the North West. Limitations include the quasi-experimental nature of the research design and the requirement for accurate and timely recording. CONCLUSIONS: In this study, we observed strong socioeconomic and geographical health inequalities in YLL, during the first calendar year of the COVID-19 pandemic. These were in line with long-standing existing inequalities in England and Wales, with the most deprived areas reporting the largest numbers in potential YLL.

Effects of chain ownership and private equity financing on quality in the English care home sector: retrospective observational study.

BACKGROUND: the structure of care homes markets in England is changing with the emergence of for-profit homes organised in chains and financed by private equity. Previous literature shows for-profit homes were rated lower quality than not-for-profit homes when inspected by the national regulator, but has not considered new forms of financing. OBJECTIVES: to examine whether financing and organisation of care homes is associated with regulator assessments of quality. METHODS: retrospective observational study of the Care Quality Commission's ratings of 10,803 care homes providing services to older people as of January 2020. We used generalised ordered logistic models to assess whether ratings differed between not-for-profit and for-profit homes categorised into three groups: (i) chained ownership, financed by private equity; (ii) chained ownership, not financed by private equity and (iii) independent ownership. We compared Overall and domain (caring, effective, responsive, safe, well-led) ratings adjusted for care home size, age and location. RESULTS: all three for-profit ownership types had lower average overall ratings than not-for-profit homes, especially independent (6.8% points (p.p.) more likely rated as 'Requires Improvement/Inadequate', 95% CI: 4.7-8.9) and private equity chains (6.6 p.p. more likely rated as 'Requires Improvement/Inadequate', 95% CI: 2.9-10.2). Independent homes scored better than private equity chains in the safe, effective and responsive domains but worst in the well-led domain. DISCUSSION: private equity financing and independent for-profit ownership are associated with lower quality. The consequences of the changing care homes market structure for quality of services should be monitored.

The relative effects of non-pharmaceutical interventions on wave one Covid-19 mortality: natural experiment in 130 countries.

BACKGROUND: Non-pharmaceutical interventions have been implemented around the world to control Covid-19 transmission. Their general effect on reducing virus transmission is proven, but they can also be negative to mental health and economies, and transmission behaviours can also change voluntarily, without mandated interventions. Their relative impact on Covid-19 attributed mortality, enabling policy selection for maximal benefit with minimal disruption, is not well established due to a lack of definitive methods. METHODS: We examined variations in timing and strictness of nine non-pharmaceutical interventions implemented in 130 countries and recorded by the Oxford COVID-19 Government Response Tracker (OxCGRT): 1) School closing; 2) Workplace closing; 3) Cancelled public events; 4) Restrictions on gatherings; 5) Closing public transport; 6) Stay at home requirements ('Lockdown'); 7) Restrictions on internal movement; 8) International travel controls; 9) Public information campaigns. We used two time periods in the first wave of Covid-19, chosen to limit reverse causality, and fixed country policies to those implemented: i) prior to first Covid-19 death (when policymakers could not possibly be reacting to deaths in their own country); and, ii) 14-days-post first Covid-19 death (when deaths were still low, so reactive policymaking still likely to be minimal). We then examined associations with daily deaths per million in each subsequent 24-day period, which could only be affected by the intervention period, using linear and non-linear multivariable regression models. This method, therefore, exploited the known biological lag between virus transmission (which is what the policies can affect) and mortality for statistical inference. RESULTS: After adjusting, earlier and stricter school (- 1.23 daily deaths per million, 95% CI - 2.20 to - 0.27) and workplace closures (- 0.26, 95% CI - 0.46 to - 0.05) were associated with lower Covid-19 mortality rates. Other interventions were not significantly associated with differences in mortality rates across countries. Findings were robust across multiple statistical approaches. CONCLUSIONS: Focusing on 'compulsory', particularly school closing, not 'voluntary' reduction of social interactions with mandated interventions appears to have been the most effective strategy to mitigate early, wave one, Covid-19 mortality. Within 'compulsory' settings, such as schools and workplaces, less damaging interventions than closing might also be considered in future waves/epidemics.

Excess mortality for care home residents during the first 23 weeks of the COVID-19 pandemic in England: a national cohort study.

BACKGROUND: To estimate excess mortality for care home residents during the COVID-19 pandemic in England, exploring associations with care home characteristics. METHODS: Daily number of deaths in all residential and nursing homes in England notified to the Care Quality Commission (CQC) from 1 January 2017 to 7 August 2020. Care home-level data linked with CQC care home register to identify home characteristics: client type (over 65s/children and adults), ownership status (for-profit/not-for-profit; branded/independent) and size (small/medium/large). Excess deaths computed as the difference between observed and predicted deaths using local authority fixed-effect Poisson regressions on pre-pandemic data. Fixed-effect logistic regressions were used to model odds of experiencing COVID-19 suspected/confirmed deaths. RESULTS: Up to 7 August 2020, there were 29,542 (95% CI 25,176 to 33,908) excess deaths in all care homes. Excess deaths represented 6.5% (95% CI 5.5 to 7.4%) of all care home beds, higher in nursing (8.4%) than residential (4.6%) homes. 64.7% (95% CI 56.4 to 76.0%) of the excess deaths were confirmed/suspected COVID-19. Almost all excess deaths were recorded in the quarter (27.4%) of homes with any COVID-19 fatalities. The odds of experiencing COVID-19 attributable deaths were higher in homes providing nursing services (OR 1.8, 95% CI 1.6 to 2.0), to older people and/or with dementia (OR 5.5, 95% CI 4.4 to 6.8), amongst larger (vs. small) homes (OR 13.3, 95% CI 11.5 to 15.4) and belonging to a large provider/brand (OR 1.2, 95% CI 1.1 to 1.3). There was no significant association with for-profit status of providers. CONCLUSIONS: To limit excess mortality, policy should be targeted at care homes to minimise the risk of ingress of disease and limit subsequent transmission. Our findings provide specific characteristic targets for further research on mechanisms and policy priority.

Market concentration, supply, quality and prices paid by local authorities in the English care home market.

We investigate the impact of exogenous local conditions which favor high market concentration on supply, price and quality in local markets for care homes for older people in England. We extend the existing literature in: (i) considering supply capacity as a market outcome alongside price and quality; (ii) taking account of the chain structure of care home supply and differences between the nursing home and residential care home sectors; (iii) using an econometric approach based on reduced form relationships that treats market concentration as a jointly determined outcome of a complex market. We find that areas susceptible to a high degree of market concentration tend to have greatly restricted supply of care home places and (to a lesser extent) a higher average public cost, than areas susceptible to low degree of market concentration. There is no significant evidence that conditions favoring high market concentration affect average care home quality.

Comparison of the impact of two national health and social care integration programmes on emergency hospital admissions.

BACKGROUND: Policy-makers expect that integration of health and social care will improve user and carer experience and reduce avoidable hospital use. [We] evaluate the impact on emergency hospital admissions of two large nationally-initiated service integration programmes in England: the Pioneer (November 2013 to March 2018) and Vanguard (January 2015 to March 2018) programmes. The latter had far greater financial and expert support from central agencies. METHODS: Of the 206 Clinical Commissioning Groups (CCGs) in England, 51(25%) were involved in the Pioneer programme only, 22(11%) were involved in the Vanguard programme only and 13(6%) were involved in both programmes. We used quasi-experimental methods to compare monthly counts of emergency admissions between four groups of CCGs, before and after the introduction of the two programmes. RESULTS: CCGs involved in the programmes had higher monthly hospital emergency admission rates than non-participants prior to their introduction [7.9 (95% CI:7.8-8.1) versus 7.5 (CI: 7.4-7.6) per 1000 population]. From 2013 to 2018, there was a 12% (95% CI:9.5-13.6%) increase in emergency admissions in CCGs not involved in either programme while emergency admissions in CCGs in the Pioneer and Vanguard programmes increased by 6.4% (95% CI: 3.8-9.0%) and 8.8% (95% CI:4.5-13.1%), respectively. CCGs involved in both initiatives experienced a smaller increase of 3.5% (95% CI:-0.3-7.2%). The slowdown largely occurred in the final year of both programmes. CONCLUSIONS: Health and social care integration programmes can mitigate but not prevent rises in emergency admissions over the longer-term. Greater financial and expert support from national agencies and involvement in multiple integration initiatives can have cumulative effects.

What remains after the money ends? Evidence on whether admission reductions continued following the largest health and social care integration programme in England.

We study the long-term effects on hospital activity of a three-year national integration programme. We use administrative data spanning from 24 months before to 22 months after the programme, to estimate the effect of programme discontinuation using difference-in-differences method. Our results show that after programme discontinuation, emergency admissions were slower to increase in Vanguard compared to non-Vanguard sites. These effects were heterogeneous across sites, with greater reductions in care home Vanguard sites and concentrated among the older population. Care home Vanguards showed significant reductions beginning early in the programme but falling away more rapidly after programme discontinuation. Moreover, there were greater reductions for sites performing poorly before the programme. Overall, this suggests the effects of the integration programme might have been lagged but transitory, and more reliant on continued programme support.

Analysing changes to the flow of public funding within local health and care systems: An adaptation of the System of Health Accounts framework to a local health system in England.

Financial flows relating to health care are routinely analysed at national and international level. They have rarely been systematically analysed at local level, despite sub-national variation due to population needs and decisions enacted by local organisations. We illustrate an adaptation of the System of Health Accounts framework to map the flow of public health and care funding within local systems, with an application for Greater Manchester (GM), an area in England which agreed a health and social care devolution deal with the central government in 2016. We analyse how financial flows changed in GM during the four years post-devolution, and whether spending was aligned with local ambitions to move towards prevention of ill-health and integration of health and social care. We find that GM decreased spending on public health by 15%, and increased spending on general practice by 0.1% in real terms. The share of total local expenditure paid to NHS Trusts for general and acute services increased from 70.3% to 71.6%, while that for community services decreased from 11.7% to 10.3%. Results suggest that GM may have experienced challenges in redirecting resources towards their goals. Mapping financial flows at a local level is a useful exercise to examine whether spending is aligned with system goals and highlight areas for further investigation.

A typology of integrated care policies in the care home sector: A policy document analysis.

Background: Health and social care systems in many countries have begun to trial and adopt "integrated" approaches. Yet, the significant role care homes play within the health and social care system is often understated. A key first step to identifying the care home integration interventions that are most (cost-)effective is the ability to precisely identify and record what has been implemented, where, and when-a "policy map." Methods: To address gaps relating to the identification and recording of (cost-)effective integrated care home interventions, we developed a new typology tool. We conducted a policy mapping exercise in a devolved region of England-Greater Manchester (GM). Specifically, we carried out systematic policy documentary searches and extracted a range of qualitative data relating to integrated health and social care initiatives in the GM region for care homes. The data were then classified according to existing national ambitions for England as well as a generic health systems framework to illustrate gaps in existing recording tools and to iteratively develop a novel approach. Results: A combined total of 124 policy documents were identified and screened, in which 131 specific care home integration initiatives were identified. Current initiatives emphasized monitoring quality in care homes, workforce training, and service delivery changes (such as multi-disciplinary teams). There was comparatively little emphasis on financing or other incentive changes to stimulate provider behavior for the care home setting. We present a novel typology for capturing and comparing care home integration policy initiatives, largely conceptualizing which part of the system or specific transition point the care home integration is targeting, or whether there is a broader cross-cutting system intervention being enacted, such as digital or financial interventions. Conclusions: Our typology builds on the gaps in current frameworks, including previous lack of specificity to care homes and lack of adaptability to new and evolving initiatives internationally. It could provide a useful tool for policymakers to identify gaps in the implementation of initiatives within their own areas, while also allowing researchers to evaluate what works most effectively and efficiently in future research based on a comprehensive policy map.

Correlations between parameters of glycaemic variability and foetal growth, neonatal hypoglycaemia and hyperbilirubinemia in women with gestational diabetes.

The diagnosis of gestational diabetes mellitus (GDM) is important to prevent maternal and neonatal complications. This study aimed to investigate the feasibility of parameters of glycaemic variability to predict neonatal complications in women with GDM. A retrospective study was conducted on pregnant women tested positive at the oral glucose tolerance test (OGTT) during 16-18 or 24-28 weeks of gestation. Glycaemic measures were extracted from patients' glucometers and expanded to obtain parameters of glycaemic variability. Data on pregnancy outcomes were obtained from clinical folders. Descriptive group-level analysis was used to assess trends in glycaemic measures and foetal outcomes. Twelve patients were included and analysed, accounting for 111 weeks of observations. The analysis of trends in parameters of glycaemic variability showed spikes of glycaemic mean, high blood glucose index and J-index at 30-31 weeks of gestation for cases with foetal macrosomia, defined as foetal growth >90° percentile, neonatal hypoglycaemia and hyperbilirubinemia. Specific trends in parameters of glycaemic variability observed at third trimester correlate with foetal outcomes. Further research is awaited to provide evidence that monitoring of glycaemic variability trends could be more clinically informative and useful than standard glycaemic checks to manage women with GDM at delivery.

Estimating the additional costs of living with a disability in the United Kingdom between 2013 and 2016.

In the United Kingdom, more than 20% of the population live with a disability. Past evidence shows that being disabled is associated with functional limitations that often cause social exclusion and poverty. Therefore, it is necessary to analyse the connection between disability and poverty. This paper examines whether households with disabled members face extra costs of living to attain the same standard of living as their peers without disabled members. The modelling framework is based on the standard of living approach which estimates the extra income required to close the gap between households with and without disabled members. We apply an ordered logit regression to data from the Family Resources Survey between 2013 and 2016 to analyse the relationship between standard of living, income, and disability, conditional on other explanatory variables. We find that households with disabled members face considerable extra costs that go beyond the transfer payment of the government. The average household with disabled members saw their weekly extra costs continually increase from £293 in 2013 to £326 in 2016 [2020 prices]. Therefore, the government needs to adjust welfare policies to address the problem of extra costs faced by households with disabled members.

Has COVID-19 changed carer's views of health and care integration in care homes? A sentiment difference-in-difference analysis of on-line service reviews.

Closer integration of health and social care is a policy priority in many countries. The COVID-19 pandemic has reinforced the necessity of joining up health and social care systems, especially in care home settings. However, the meaning and perceived importance of integration for residents' and carers' experience is unclear and we do not know whether it has changed during the pandemic. Using unique data from on-line care home service reviews, we combined multiple methods. We used Natural Language Processing with supervised machine learning to construct a measure of sentiment for care home residents' and their relatives' (measured by AFINN score). Difference-in-difference analysis was used to examine whether experiencing integrated care altered these sentiments by comparing changes in sentiment in reviews related to integration (containing specific terms) to those which were not. Finally, we used network analysis on post-estimation results to assess which specific attributes stakeholders focus on most when detailing their most/least positive experiences of health and care integration in care homes, and whether these attributes changed over the pandemic. Reviews containing integration words were more positive than reviews unrelated to integration in the pre-pandemic period (about 2.3 points on the AFINN score) and remained so during the first year of the pandemic. Overall positive sentiment increased during the COVID-19 period (average by +1.1 points), mainly in reviews mentioning integration terms at the beginning of the first (+2.17, p-value 0.175) and second waves (+3.678, p-value 0.027). The role of care home staff was pivotal in both positive and negative reviews, with a shift from aspects related to care in pre-pandemic to information services during the pandemic, signalling their importance in translating integrated needs-based paradigms into policy and practice.

The effect of lengthening life expectancy on future pension and long-term care expenditure in England, 2007 to 2032.

BACKGROUND: The aim of this analysis is to examine the effect of different assumptions about future trends in life expectancy (LE) on the sustainability of the pensions and long-term care (LTC) systems. The context is the continuing debate in England about the reform of state pensions and the reform of the system for financing care and support. METHODS: Macro and micro simulation models are used to make projections of future public expenditure on LTC services for older people and on state pensions and related benefits, making alternative assumptions on increases in future LE. The projections cover the period 2007 to 2032 and relate to England. RESULTS: Results are presented for a base case and for specified variants to the base case. The base case assumes that the number of older people by age and gender rises in line with the Office for National Statistics' principal 2006-based population projection for England. It also assumes no change in disability rates, no changes in patterns of care, no changes in policy and rises in unit care costs and real average earnings by 2 per cent per year. Under these assumptions public expenditure on pensions and related benefits is projected to rise from 4.7 per cent of Gross Domestic Product (GDP) in 2007 to 6.2 per cent of GDP in 2032 and public expenditure on LTC from 0.9 per cent of GDP in 2007 to 1.6 per cent of GDP in 2032. Under a very high LE variant to the GAD principal projection, however, public expenditure on pensions and related benefits is projected to reach 6.8 per cent of GDP in 2032 and public expenditure on LTC 1.7 per cent of GDP in 2032. CONCLUSIONS: Policymakers developing reform proposals need to recognise that, since future LE is inevitably uncertain and since variant assumptions about future LE significantly affect expenditure projections, there is a degree of uncertainty about the likely impact of demographic pressures on future public expenditure on pensions and LTC.

Determinants of bicycle commuting and the effect of bicycle infrastructure investment in London: Evidence from UK census microdata.

Worldwide, concern about physical inactivity and excessive car dependence has encouraged ambitious targets and policies to promote cycling. But policy making is hindered by limited knowledge about why cycling prevalence and trends vary greatly between different geographic areas (e.g. in London (UK) <1% cycle to work in Harrow compared to>15 % in Hackney) and individuals (e.g. by age or gender). The role of cycle infrastructure investment in explaining part of these patterns and trends is also unknown. We linked individual-level data on 317,117 London commuters (including 11,199 cyclists) in the 2001 and 2011 UK census to relevant geographic data, including on area-level cycling infrastructure investment during the period. Whilst cycle commuting increased over time on average, concentration curves and indices demonstrated that in contrast with England as a whole, cycling in London shifted from being dominated by commuters with lower socioeconomic status to commuters with higher socioeconomic status. In our first set of regression analyses, we showed that observed differences and time trends in cycling prevalence were partially explained by area-level differences in topography, greenspace, footpaths and crime levels and by differences and changes in population structures. In the second, we conducted a cost-effectiveness analysis which showed that expenditure on cycling infrastructure was associated with increased cycling at a marginal rate of £4915 per additional commuter cyclist, with some variation between groups: ethnic minorities were more responsive, and females, older people and those with lower socioeconomic status appeared less responsive. If planned increases in expenditure in England for the period 2020-25 were as cost-effective, and were sustained for the whole decade, our study suggests that commuter cycling prevalence could increase in England by 0.5 to 1.1 percentage points (this equates to a 16% to 34% increase in commuter cycling prevalence if compared to 2011 levels). More research is necessary to assess the impact on broader measures of cycling, active travel and overall physical activity, and to determine whether such expenditure constitutes good or equitable value for money.

Trends in survival of older care home residents in England: A 10-year multi-cohort study.

Increases in longevity combined with a policy emphasis on caring for older people in their own homes could have widened or narrowed the survival gap between care home and community-dwelling resident older people. Knowledge of pre-COVID-19 trends in this gap is needed to assess the longer-term impacts of the pandemic. We provide evidence for England on recent trends in 1, 2 and 3-year mortality amongst care home residents aged 65+ compared with similar community-dwelling residents. We use the Clinical Practice Research Datalink, a nationally representative primary care database. For each of the ten years from 2006 to 2015, care home and community-dwelling residents aged 65+ were identified and matched in the ratio 1:3, according to age, gender, area deprivation and region. Cox survival analyses were used to estimate mortality risks for care home residents in comparison with similar community-dwelling people, adjusting for age, gender, area deprivation and region. The study sample consisted of ten overlapping cohorts averaging 5495 care home residents per cohort. Adjusted mortality risks increased over the study period for care home residents while decreasing slightly for matched community-dwelling residents. The relative risks (RRs) of mortality associated with care home residence were higher for younger ages and shorter follow-up periods, in all years. Over the decade, the RRs increased, most at younger ages and for shorter follow-up periods (e.g. for the age group 65-74 years, 1-year average RR increased by 61% from 5.4 to 8.8, while for those aged 85-94 years and over, 3-year RR increased by 22% from 1.3 to 1.6). Thus the survival gap between older care home and community-dwelling residents has been widening, especially at younger ages. In due course, it will be possible to establish to what extent the COVID-19 pandemic has resulted in further growth in this gap.

Inequalities in the distribution of the general practice workforce in England: a practice-level longitudinal analysis.

BACKGROUND: In England, demand for primary care services is increasing and GP shortages are widespread. Recently introduced primary care networks (PCNs) aim to expand the use of additional practice-based roles such as physician associates (PAs), pharmacists, paramedics, and others through financial incentives for recruitment of these roles. Inequalities in general practice, including additional roles, have not been examined in recent years, which is a meaningful gap in the literature. Previous research has found that workforce inequalities are associated with health outcome inequalities. AIM: To examine recent trends in general practice workforce inequalities. DESIGN & SETTING: A longitudinal study using quarterly General Practice Workforce datasets from 2015-2020 in England. METHOD: The slope indices of inequality (SIIs) for GPs, nurses, total direct patient care (DPC) staff, PAs, pharmacists, and paramedics per 10 000 patients were calculated quarterly, and plotted over time, with and without adjustment for patient need. RESULTS: Fewer GPs, total DPC staff, and paramedics per 10 000 patients were employed in more deprived areas. Conversely, more PAs and pharmacists per 10 000 patients were employed in more deprived areas. With the exception of total DPC staff, these observed inequalities widened over time. The unadjusted analysis showed more nurses per 10 000 patients employed in more deprived areas. These values were not significant after adjustment but approached a more equal or pro-poor distribution over time. CONCLUSION: Significant workforce inequalities exist and are even increasing for several key general practice roles, with workforce shortages disproportionately affecting more deprived areas. Policy solutions are urgently needed to ensure an equitably distributed workforce and reduce health inequities.

Excess deaths from COVID-19 and other causes by region, neighbourhood deprivation level and place of death during the first 30 weeks of the pandemic in England and Wales: A retrospective registry study.

BACKGROUND: Excess deaths during the COVID-19 pandemic compared with those expected from historical trends have been unequally distributed, both geographically and socioeconomically. Not all excess deaths have been directly related to COVID-19 infection. We investigated geographical and socioeconomic patterns in excess deaths for major groups of underlying causes during the pandemic. METHODS: Weekly mortality data from 27/12/2014 to 2/10/2020 for England and Wales were obtained from the Office of National Statistics. Negative binomial regressions were used to model death counts based on pre-pandemic trends for deaths caused directly by COVID-19 (and other respiratory causes) and those caused indirectly by it (cardiovascular disease or diabetes, cancers, and all other indirect causes) over the first 30 weeks of the pandemic (7/3/2020-2/10/2020). FINDINGS: There were 62,321 (95% CI: 58,849 to 65,793) excess deaths in England and Wales in the first 30 weeks of the pandemic. Of these, 46,221 (95% CI: 45,439 to 47,003) were attributable to respiratory causes, including COVID-19, and 16,100 (95% CI: 13,410 to 18,790) to other causes. Rates of all-cause excess mortality ranged from 78 per 100,000 in the South West of England and in Wales to 130 per 100,000 in the West Midlands; and from 93 per 100,000 in the most affluent fifth of areas to 124 per 100,000 in the most deprived. The most deprived areas had the highest rates of death attributable to COVID-19 and other indirect deaths, but there was no socioeconomic gradient for excess deaths from cardiovascular disease/diabetes and cancer. INTERPRETATION: During the first 30 weeks of the COVID-19 pandemic there was significant geographic and socioeconomic variation in excess deaths for respiratory causes, but not for cardiovascular disease, diabetes and cancer. Pandemic recovery plans, including vaccination programmes, should take account of individual characteristics including health, socioeconomic status and place of residence. FUNDING: None.

Variability in size and characteristics of primary care networks in England: observational study.

BACKGROUND: General practices in England have been encouraged by national policy to work together on a larger scale by creating primary care networks (PCNs). Policy guidance recommended that they should serve populations of 30 000-50 000 people to perform effectively. AIM: To describe variation in the size and characteristics of PCNs and their populations. DESIGN AND SETTING: Cross-sectional analysis in England. METHOD: Using published information from January 2020, PCNs were identified that contained <30 000, between 30 000-50 000, and >50 000 people. Percentiles were calculated to describe variation in size and population characteristics. PCN composition within each commissioning region was also examined. RESULTS: In total, 6758 practices had formed 1250 PCNs. Seven hundred and twenty-six (58%) PCNs had the recommended population of 30 000-50 000 people. Eighty-four (7%) PCNs contained <30 000 people. Four hundred and forty (35%) PCNs contained >50 000 people. Thirty-four (3%) PCNs comprised just one practice and 77 (6%) PCNs contained >10 practices. Some PCNs contained more than double the proportions of older people and people with chronic conditions compared to other PCNs. More than half of the population were from very socioeconomically deprived areas in 172 (14%) PCNs. Only six (4%) of the 135 commissioning regions ensured all PCNs were in the recommended population range. All practices had joined a single PCN in three (2%) commissioning regions. CONCLUSION: More than 40% of the PCNs were not of the recommended size, and there was substantial variation in their composition and characteristics. This high variability between PCNs is a risk to their future performance.

New integrated care models in England associated with small reduction in hospital admissions in longer-term: A difference-in-differences analysis.

Closer integration of health and social care services has become a cornerstone policy in many developed countries, but there is still debate over what population and service level is best to target. In England, the 2019 Long Term Plan for the National Health Service included a commitment to spread the integration prototypes piloted under the Vanguard `New Care Models' programme. The programme, running from 2015 to 2018, was one of the largest pilots in English history, covering around 9 % of the population. It was largely intended to design prototypes aimed at reducing hospital utilisation by moving specialist care out of hospital into the community and by fostering coordination of health, care and rehabilitation services for (i) the whole population ('population-based sites'), or (ii) care home residents ('care home sites'). We evaluate and compare the efficacy of the population-based and care home site integrated care models in reducing hospital utilisation. We use area-level monthly counts of emergency admissions and bed-days obtained from administrative data using a quasi-experimental difference-in-differences design. We found that Vanguard sites had higher hospital utilisation than non-participants in the pre-intervention period. In the post-intervention period, there is clear evidence of a substantial increase in emergency admissions among non-Vanguard sites. The Vanguard integrated care programme slowed the rise in emergency admissions, especially in care home sites and in the third and final year. There was no significant reduction in bed-days. In conclusion, integrated care policies should not be relied upon to make large reductions in hospital activity in the short-run, especially for population-based models.