Index Of Multiple Deprivation Research Articles

COVID-19 inequalities in England: a mathematical modelling study of transmission risk and clinical vulnerability by socioeconomic status

BackgroundThe COVID-19 pandemic resulted in major inequalities in infection and disease burden between areas of varying socioeconomic deprivation in many countries, including England. Areas of higher deprivation tend to have a different population structure—generally younger—which can increase viral transmission due to higher contact rates in school-going children and working-age adults. Higher deprivation is also associated with a higher presence of chronic comorbidities, which were convincingly demonstrated to be risk factors for severe COVID-19 disease. These two major factors need to be combined to better understand and quantify their relative importance in the observed COVID-19 inequalities.MethodsWe used UK Census data on health status and demography stratified by decile of the Index of Multiple Deprivation (IMD), which is a measure of socioeconomic deprivation. We calculated epidemiological impact using an age-stratified COVID-19 transmission model, which incorporated different contact patterns and clinical health profiles by decile. To separate the contribution of each factor, we considered a scenario where the clinical health profile of all deciles was at the level of the least deprived. We also considered the effectiveness of school closures and vaccination of over 65-year-olds in each decile.ResultsIn the modelled epidemics in urban areas, the most deprived decile experienced 9% more infections, 13% more clinical cases, and a 97% larger peak clinical size than the least deprived; we found similar inequalities in rural areas. Twenty-one per cent of clinical cases and 16% of deaths in England observed under the model assumptions would not occur if all deciles experienced the clinical health profile of the least deprived decile. We found that more deaths were prevented in more affluent areas during school closures and vaccination rollouts.ConclusionsThis study demonstrates that both clinical and demographic factors synergise to generate health inequalities in COVID-19, that improving the clinical health profile of populations would increase health equity, and that some interventions can increase health inequalities.

Effectiveness of the Sanofi/GSK (VidPrevtyn Beta) and Pfizer-BioNTech (Comirnaty Original/Omicron BA.4-5) bivalent vaccines against hospitalisation in England

The Sanofi/GSK AS03-adjuvanted (VidPrevtyn Beta) vaccine and the Pfizer-BioNTech mRNA (Comirnaty Original/Omicron BA.4-5) bivalent vaccine were offered to adults aged 75 years and over in England from 3rd April 2023. This is the first time an adjuvanted COVID-19 vaccine has been administered as part of a UK COVID-19 vaccination programme. In clinical trials, antibody levels generated were comparable with mRNA vaccines but there are no real-world data on the effectiveness or duration of protection. We used a test-negative case-control study design to estimate the incremental vaccine effectiveness of the Sanofi/GSK and Pfizer bivalent BA.4-5 boosters against hospitalisation amongst those aged 75 years and older in England. Cases (those testing positive) and controls (those testing negative) were identified from the national COVID-19 PCR testing data undertaken in hospital settings. The study period included tests from 3rd April 2023 to 27th August 2023. Tests were linked to the COVID-19 vaccination register and to the national hospital admission database, restricting to those with an acute respiratory infection coded in the primary diagnosis field. Vaccine effectiveness was estimated using multivariable logistic regression amongst those who had last received an autumn 2022 booster given at least 3 months prior. The test result was the outcome and vaccination status the exposure. Analyses were adjusted for week of test, gender, age, clinical risk group status, care home resident status, region, index of multiple deprivation, ethnicity, influenza vaccination status and recent COVID-19 positivity. There were 14,169 eligible tests from hospitalised individuals aged 75 years and older; 3005 cases (positive tests) and 11,164 controls (negative tests). Effectiveness was highest in the period 9-13 days post vaccination for both manufacturers at about 50%; 43.7% (95% CI, 20.1-60.3%) and 56.1% (95% CI, 25.2-74.2%) for Sanofi/GSK and Pfizer BA.4-5, respectively. There was evidence of waning with a reduction to about 30% for both manufacturers after 5-9 weeks. The longest time interval post vaccination for which we were able to estimate effectiveness was 10+ weeks post vaccination, at which point vaccine effectiveness was 17.6% (95% CI,-3.6 to 34.5%) and 37.9% (95% CI, 13.2-55.5%) for the Sanofi/GSK and Pfizer BA.4-5 boosters, respectively. Both boosters provided good protection against hospitalisation amongst older adults. The finding that the adjuvanted vaccine targeting the distant Beta strain had similar effectiveness to the bivalent mRNA vaccine targeting more closely matched Omicron sub-lineages is notable and highlights the need for further real-world studies into the effectiveness of vaccines from different vaccine platforms and formulations in the presence of matched and unmatched strains. No external funding.

The impact of multiple deprivation on the management of vestibular schwannomas.

While some factors have been well-shown to affect the decision-making in treating patients with vestibular schwannomas (VS), little is known on the role of deprivation. Our objective was to assess the effect of socioeconomic background on the management of patients with VS. This retrospective cohort study included 460 patients with sporadic VS from West of Scotland. The postcode-based, multifactorial Scottish Index of Multiple Deprivation (SIMD) was used to assess the socioeconomic background of each patient. We performed a multivariate analysis including tumour size, growth and patient age with management modality (observation, stereotactic radiotherapy, microsurgery) being the main outcome measure and outcome (need for additional treatment) an additional measure. We found no significant difference in the demographics, tumour characteristics and primary treatment choice between patients with different SIMD scores. In addition, there was no statistically significant difference in the growth occurrence rates following first-line treatment (p = 0.964) and in the second-line treatment choice (p = 0.460). Multiple deprivation does not affect decision making in patients with VS in the examined cohort. This is probably linked to the centralisation and uniformity of the service and might not necessarily be applicable to other health services without centralisation.

Assessing PM2.5 exposure bias towards deprived areas in England using a new indicator

In many countries higher concentrations of harmful air pollutants coincide with more deprived areas of society, where prevalence of health impacts associated with air pollution are greater. However, the impact of policies aimed at mitigating air pollution on the bias in exposure across deprivation groups rarely feature in policy development.We introduce the Indicator of Exposure Bias (IoEB) to the UK Integrated Assessment Model to quantify this bias, providing a method for comparing different scenarios and sectors. We analyse the bias in exposure to PM2.5 concentrations across deprivation levels within England currently and for future scenarios, and by sectors. While England's Index of Multiple Deprivation (IMD) and the Health domain are used as measures of deprivation here, the indicator can be applied to any pair of spatial socio-economic status and environmental exposure metrics.An IoEB of 0.88 µg.m−3 was calculated for the 2018 baseline, indicating a bias in exposures towards more deprived areas ranked using the IMD. All future scenarios considered here lead to reductions in population exposure and a reduction in the bias towards more deprived areas, with the greatest reduction of 59 % achieved by focusing on urban sources of primary PM2.5. The total bias in exposure towards more deprived areas is mitigated by an opposite bias for the transboundary contribution, therefore the bias in exposure of total PM2.5 does not accurately reflect that associated to UK anthropogenic emissions. The bias varies significantly between sectors, with non-industrial combustion and road transport the greatest contributors.Reaching England's 2040 PM2.5 exposure target is likely to deliver substantially greater health benefits for the more deprived members of society than the less deprived, reducing health inequality. The bias is sensitive to the measure of deprivation used, demonstrated using the Health domain.

Identification of patients undergoing chronic kidney replacement therapy in primary and secondary care data: validation study based on OpenSAFELY and UK Renal Registry

ObjectiveTo validate primary and secondary care codes in electronic health records to identify people receiving chronic kidney replacement therapy based on gold standard registry data.DesignValidation study using data from OpenSAFELY...

Association of ethnicity and socioeconomic status with health outcomes in women with gestational diabetes: Clinical practice research datalink cohort study

AimsTo investigate in women with prior gestational diabetes mellitus (GDM), differences by ethnicity and socioeconomic status in the incidence of recurrent GDM, type 2 diabetes (T2D), hypertension, and depression. MethodsThis was a retrospective cohort study including 10,868 women diagnosed with GDM in the Clinical Practice Research Datalink (CPRD GOLD) between January 01, 2000 and November 05, 2018. Linked data were obtained for Hospital Episode Statistics and the Index of Multiple Deprivation. We estimated incidence rates and hazard ratios, by ethnicity and socioeconomic status. ResultsDuring a follow-up of 58,479 person years (mean (SD): 5.38 (3.67) years), the crude incidence was 9.67 (95 % confidence interval: 9.30–10.00) per 100 person years for recurrent GDM, 3.86 (3.70–4.02) for depression, 2.15 (2.03–2.27) for T2D and 0.89 (0.81–0.97) for hypertension. South Asian ethnicity was associated with an increased risk of T2D compared to White (adjusted hazard ratio: 1.65; 1.34–2.05) and Black ethnicity was associated with a greater risk of hypertension (2.93; 1.93–4.46). Black and South Asian ethnicity were associated with a reduced risk of depression compared to White: 0.23 (0.13–0.39) and 0.37 (0.29–0.46), respectively. Incidence rates were higher for all conditions with increasing deprivation level. ConclusionsThe risk of health complications in women with a prior history of GDM differs by ethnicity and socio-economic status, suggesting the opportunity for targeted assessment in the years following pregnancy. These findings may inform future guidelines on screening for health outcomes in women with GDM.

Electroconvulsive Therapy (ECT): A Scotland Wide Naturalistic Study of 4,826 treatment episodes

IntroductionDespite its apparent efficacy in the treatment of a range of psychiatric disorders, electroconvulsive therapy (ECT) is viewed by some as a contentious treatment. Although most clinicians and researchers consider ECT a safe and effective treatment, there are ongoing and significantly publicised concerns about potential side effects.ObjectivesTo explore use of ECT across Scotland in a large naturalistic clinical sample across an 11-year period from 2009 to 2019. To consider the efficacy and side effects of ECT for a range of common psychiatric disorders including, depression, bipolar depression, schizophrenia, and mania.MethodsUsing data from the Scottish Electroconvulsive Therapy (ECT) Accreditation Network (SEAN), information was collected for all adults who had received ECT. Variables included age, sex, Scottish Index of Multiple Deprivation (SIMD) quintile, International Classification of Diseases, Tenth Edition (ICD-10) diagnosis, indication for ECT, Mental Health Act status, consent status, entry and exit Montgomery-Asberg Depression Rating Scores (MADRS), entry and exit Clinical Global Index Severity CGI-S) scores and reported side effects. Side effects were recorded as present if the side effect was reported at any point during the episode of treatment.Results4826 ECT episodes were recorded. The majority of episodes were in women (68.4%, n=3,301). Average age at treatment onset was 58.52 years. Males were slightly younger (m=58.24 years vs f= 58.65 years, p= 0.20). Mean number of treatments/episode was 9.59 (95% CI 9.32 – 9.85). Mean treatment dose delivered was 277.75mC (95%CI 272.88 – 282.63mC).2920 episodes of treatment had CGI-S entry and exit recorded. At entry, mean CGI-S indicated marked illness (5.03 95% CI 4.99-5.07). Recipients with schizophrenia had the highest CGI-S score (5.45 95% CI 5.21-5.60), followed by those with post-partum disorders (5.38, 95% CI 4.61-6.14). At exit, mean CGI scores indicated borderline illness (2.07, 95% CI 2.03-2.11), recipients diagnosed with mixed affective state had the lowest CGI-S score (1.72, 95% CI 0.99-2.47) followed by those with schizoaffective disorder (2.01, 95% CI 1.76-2.42).Anaesthetic complications (n=34) and prolonged seizures (n=38) were rare, occurring in <1% of treatment episodes. Cardiovascular complications were reported in 2.2% (n= 102). Nausea was reported in 7.2% (n= 334) and muscle aches in 12% (n=560). Confusion was reported in 19% (n=879) and cognitive side effects were reported in 26.2% (n=1212). One third of treatment episodes reported confusion or cognitive side effects (33.1%, n=1545).ConclusionsFrom this large naturalistic clinical sample, ECT appears to be effective in improving illness severity as measured by CGI-S score. While some side effects (such as prolonged seizures and cardiovascular complications) were rare, others (such as confusion or cognitive side effects) were relatively common.Disclosure of InterestNone Declared

Socioeconomic inequalities in accumulation of multimorbidity in England from 2019 to 2049: a microsimulation projection study

There are socioeconomic inequalities in the prevalence of multimorbidity and its accumulation across the life course. Estimates of multimorbidity prevalence in English primary care increased by more than two-thirds from 2004 to 2019. We developed a microsimulation model to quantify current and projected multimorbidity inequalities in the English adult population. We used primary care data for adults in England from the Clinical Practice Research Datalink Aurum database between 2004 and 2019, linked to the 2015 English Index of Multiple Deprivation (IMD), to model time individuals spent in four health states (healthy, one chronic condition, basic multimorbidity [two or more chronic conditions], and complex multimorbidity [three or more chronic conditions affecting three or more body systems]) by sex, age, IMD quintile, birth cohort, and region. We applied these transition times in a stochastic dynamic continuous-time microsimulation model to Office for National Statistics population estimates for adults aged 30-90 years. We calculated projected prevalence and cumulative incident cases from 2019 to 2049 by IMD quintile, age group (younger than 65 years vs 65 years and older), and years to be lived without multimorbidity at age 30 years. Under the assumption that all chronic conditions were lifelong, and that once diagnosed there was no recovery, we projected prevalence of multimorbidity (basic or complex) increases by 34% from 53·8% in 2019 to 71·9% (95% uncertainty interval 71·8-72·0) in 2049. This rise equates to an 84% increase in the number of people with multimorbidity: from 19·2 million in 2019 to 35·3 million in 2049 (35·3 million to 35·4 million). This projected increase is greatest in the most deprived quintile, with an excess 1·07 million (1·04 million to 1·10 million) cumulative incident basic multimorbidity cases and 0·70 million (0·67 million to 0·74 million) complex multimorbidity cases over and above the projected cases for the least deprived quintile, largely driven by inequalities in those younger than 65 years. The median expected number of years to be lived without multimorbidity at age 30 years in 2019 is 15·12 years (14·62-16·01) in the least deprived IMD quintile and 12·15 years (11·61-12·60) in the most deprived IMD quintile. The number of people living with multimorbidity will probably increase substantially in the next 30 years, a continuation of past observed increases partly driven by changing population size and age structure. Inequalities in the multimorbidity burden increase at each stage of disease accumulation, and are projected to widen, particularly among the working-age population. Substantial action is needed now to address population health and to prepare health-care and social-care systems for coming decades. University of Liverpool and National Institute for Health and Care Research School for Public Health Research.

A neural network approach for the mortality analysis of multiple populations: a case study on data of the Italian population

A Neural Network (NN) approach for the modelling of mortality rates in a multi-population framework is compared to three classical mortality models. The NN setup contains two instances of Recurrent NNs, including Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU) networks. The stochastic approaches comprise the Li and Lee model, the Common Age Effect model of Kleinow, and the model of Plat. All models are applied and compared in a large case study on decades of data of the Italian population as divided in counties. In this case study, a new index of multiple deprivation is introduced and used to classify all Italian counties based on socio-economic indicators, sourced from the local office of national statistics (ISTAT). The aforementioned models are then used to model and predict mortality rates of groups of different socio-economic characteristics, sex, and age.

Comparing indicators of disease severity among patients presenting to hospital for urinary tract infections before and during the COVID-19 pandemic.

During the COVID-19 pandemic, patients may have delayed seeking healthcare for urinary tract infections (UTIs). This could have resulted in more severe presentation to hospital and different antibiotic usage. We explored evidence for such changes through existing national indicators of prescribing, and routine clinical data collected in the electronic health record (EHR). We carried out a retrospective cohort study of patients presenting to two UK hospitals for UTIs, comparing two indicators of disease severity on admission before and during the pandemic: intravenous (IV) antibiotic use, and National Early Warning Score 2 (NEWS2). We developed regression models to estimate the effect of the pandemic on each outcome, adjusting for age, sex, ethnicity and index of multiple deprivation. During the pandemic, patients were less likely to present to hospital for UTI with NEWS2 of 0 or 1 [adjusted odds ratio (aOR): 0.66; 95% confidence interval (CI): 0.52-0.85] compared with before, more likely to present with score 2 (aOR: 1.52; 95% CI: 1.18-1.94), whereas the likelihood of presenting with a NEWS2 of >2 remained the same (aOR: 1.06; 95% CI: 0.87-1.29). We did not find evidence that this limited increase in disease severity resulted in changes to IV antibiotic use on admission (adjusted risk ratio: 1.02; 95% CI: 0.91-1.15). There may have been a small increase in disease severity at hospital presentation for UTI during the pandemic, which can be detected using routine data and not through national indicators of prescribing. Further research is required to validate these findings and understand whether routine data could support a more nuanced understanding of local antimicrobial prescribing practices.

Inequalities in Uptake and Use of Digital Applications for Home-Monitoring of Neovascular Age-Related Macular Degeneration in an Elderly Visually Impaired Population: The MONARCH Study.

To describe inequalities in the Monitoring for Neovascular Age-related Macular Degeneration Reactivation at Home (MONARCH) diagnostic test accuracy study for: recruitment; participants' ability to self-test; and adherence to testing using digital applications during follow-up. Home-monitoring vision tests included two tests implemented as software applications (apps: MyVisionTrack and MultiBit) on an iPod Touch device. Patients were provided with all hardware required to participate (iPod and MIFI device) and trained to use the apps. Regression models estimated associations of age, sex, Index of Multiple Deprivation, strata of time since first diagnosis, and baseline visual acuity at study entry on outcomes of willingness to participate, ability to perform tests, and adherence to weekly testing. A minority of patients who were approached were willing-in-principle to participate. Increasing age was associated with being unwilling-in-principle to participate. Patients from the most deprived areas had a 47% decrease in odds of being willing compared to those from the middle quintile deprived areas (odds ratio, 0.53; 95% confidence interval = 0.32, 0.88). Increasing age and worse deprivation were not consistently associated either with ability to self-monitor with the index tests, or adherence to weekly testing. Associations of increasing age and worse deprivation index were associated with unwillingness-in-principle to participate despite the provision of hardware' highlighting the potential for inequality with interventions of the kind evaluated. The clear evidence of inequalities in participation should prompt future research on ways to encourage adoption of mobile health technologies by underserved populations.

Socioeconomic inequalities in risk of infection with SARS-CoV-2 delta and omicron variants in the UK, 2020-22: analysis of the longitudinal COVID-19 Infection Survey

ObjectiveTo explore the risk of a positive test result for the delta or omicron variant of the SARS-CoV-2 virus in different occupations and deprivation groups in the UK.DesignAnalysis of the...

Socioeconomic deprivation and illness trajectory in the Scottish population after COVID-19 hospitalization

BackgroundThe associations between deprivation and illness trajectory after hospitalisation for coronavirus disease-19 (COVID-19) are uncertain.MethodsA prospective, multicentre cohort study was conducted on post-COVID-19 patients, enrolled either in-hospital or shortly post-discharge. Two evaluations were carried out: an initial assessment and a follow-up at 28–60 days post-discharge. The study encompassed research blood tests, patient-reported outcome measures, and multisystem imaging (including chest computed tomography (CT) with pulmonary and coronary angiography, cardiovascular and renal magnetic resonance imaging). Primary and secondary outcomes were analysed in relation to socioeconomic status, using the Scottish Index of Multiple Deprivation (SIMD). The EQ-5D-5L, Brief Illness Perception Questionnaire (BIPQ), Patient Health Questionnaire-4 (PHQ-4) for Anxiety and Depression, and the Duke Activity Status Index (DASI) were used to assess health status.ResultsOf the 252 enrolled patients (mean age 55.0 ± 12.0 years; 40% female; 23% with diabetes), deprivation status was linked with increased BMI and diabetes prevalence. 186 (74%) returned for the follow-up. Within this group, findings indicated associations between deprivation and lung abnormalities (p = 0.0085), coronary artery disease (p = 0.0128), and renal inflammation (p = 0.0421). Furthermore, patients with higher deprivation exhibited worse scores in health-related quality of life (EQ-5D-5L, p = 0.0084), illness perception (BIPQ, p = 0.0004), anxiety and depression levels (PHQ-4, p = 0.0038), and diminished physical activity (DASI, p = 0.002). At the 3-month mark, those with greater deprivation showed a higher frequency of referrals to secondary care due to ongoing COVID-19 symptoms (p = 0.0438). However, clinical outcomes were not influenced by deprivation.ConclusionsIn a post-hospital COVID-19 population, socioeconomic deprivation was associated with impaired health status and secondary care episodes. Deprivation influences illness trajectory after COVID-19.

Neighborhood Deprivation and Changes in Oral Health in Older Age: A Longitudinal Population-Based Study

The aim of this study was to examine the extent to which neighborhood-level socioeconomic factors (objective and perceived) are associated with poor oral health in older adults over time, independent of individual socioeconomic position. Data for this cross-sectional and longitudinal observation study came from a socially and geographically representative cohort of men aged 71 to 92 y in 2010–12 (n = 1,622), drawn from British general practices, which was followed up in 2018–19 (aged 78–98 y; N = 667). Dental measures at both times included number of teeth, periodontal pocket depth, self-rated oral health, and dry mouth. Neighborhood deprivation was based on Index of Multiple Deprivation (IMD) and a cumulative index measuring perceptions about local environment. Individual-level socioeconomic position was based on longest-held occupation. Multilevel and multivariate logistic regressions, adjusted for relevant sociodemographic, behavioral, and health-related factors, were performed to examine the relationships of dental measures with IMD and perceived neighborhood quality index, respectively. Cross-sectionally, risks of tooth loss, periodontal pockets, and dry mouth increased from IMD quintiles 1 to 5 (least to most deprived); odds ratios (ORs) for quintile 5 were 2.22 (95% confidence interval [CI], 1.41–3.51), 2.82 (95% CI, 1.72–4.64), and 1.51 (95% CI, 1.08–2.09), respectively, after adjusting for sociodemographic, behavioral, and health-related factors. Risks of increased pocket depth and dry mouth were significantly greater in quintile 5 (highest problems) of perceived neighborhood quality index compared to quintile 1. Over the 8-y follow-up, deterioration of dentition (tooth loss) was significantly higher in the most deprived IMD quintiles after full adjustment (OR for quintile 5 = 2.32; 95% CI, 1.09–4.89). Deterioration of dentition and dry mouth were significantly greater in quintile 5 of perceived neighborhood quality index. Neighborhood-level factors were associated with poor oral health in older age, both cross-sectionally and longitudinally, particularly with tooth loss, and dry mouth, independent of individual-level socioeconomic position.

Drivers of mortality: risk factors and inequality

Abstract This paper takes a detailed look at socio-economic variation in mortality across England. Generic metrics such as the index of multiple deprivation (IMD) can be effective at the aggregate level of national deciles, but we demonstrate that they perform much less well at the regional, urban–rural, and neighbourhood level. We use local linear regression to develop a new, customized index for neighbourhood mortality that addresses the mortality-specific shortcomings of the IMD based on socio-economic and related, non-spatial predictive variables. We find that old-age income deprivation and employment deprivation are key determinants of mortality, but also that urban–rural class and the presence of care homes in a neighbourhood have an important role to play in assessing underlying mortality rates relative to national mortality. Residual spatial/regional variation in mortality is found to be much less significant than socio-economic variation and much lower than the residual regional variation that results from the use of the IMD.

Patient perception of group consultations for knee osteoarthritis and influence of area-level deprivation: A service evaluation in a physiotherapy musculoskeletal setting.

Group consultations are considered valuable for managing musculoskeletal (MSK) conditions. This service evaluation aimed to assess the perception of knee osteoarthritis (OA) patients regarding group consultations in NHS Lanarkshire's MSK service. It also explored the impact of area-level deprivation on patient engagement. Surveys were developed to gauge patient satisfaction, preferences, and experiences in virtual and face-to-face (FTF) group consultations. Patients were categorised into opt-out, did not attend (DNA), or opt-in groups. We used the Scottish Index of Multiple Deprivation for area-level deprivation analysis. Descriptive statistics were used for quantitative data, while qualitative data were thematically analysed. A total of 84 patients participated, and area-level deprivation was similar across groups. Common engagement barriers included disinterest and transportation issues in opt-out and DNA groups, and IT problems in the DNA virtual group. Most patients expressed a preference for one-on-one consultations. FTFopt-in patients reported high satisfaction and increased confidence in managing their condition post-consultation. Virtual opt-in patients had a more neutral satisfaction level and mixed confidence. They were also less comfortable interacting with others during the consultation. Thematic analysis revealed positive experiences, and areas for improvement such as individual privacy concerns and additional resources. Overall, patients were generally satisfied with group consultations for knee OA. The evaluation identified strategies to enhance engagement. Area-level deprivation did not significantly impact patient participation in group consultations.

Socio-economic disadvantage and utilisation of labour epidural analgesia in Scotland: a population-based study†.

Socio-economic deprivation is associated with adverse maternal and childhood outcomes. Epidural analgesia, the gold standard for labour analgesia, may improve maternal well-being. We assessed the association of socio-economic status with utilisation of epidural analgesia and whether this differed when epidural analgesia was advisable for maternal safety. This was a population-based study of NHS data for all women in labour in Scotland between 1 January 2007 and 23 October 2020, excluding elective caesarean sections. Socio-economic status deciles were defined using the Scottish Index of Multiple Deprivation. Medical conditions for which epidural analgesia is advisable for maternal safety (medical indications) and contraindications were defined according to national guidelines. Of 593,230 patients in labour, 131,521 (22.2%) received epidural analgesia. Those from the most deprived areas were 16% less likely to receive epidural analgesia than the most affluent (relative risk 0.84 [95%CI 0.82-0.85]), with the inter-decile mean change in receiving epidural analgesia estimated at -2% ([95%CI -2.2% to -1.7%]). Among the 21,219 deliveries with a documented medical indication for epidural analgesia, the socio-economic gradient persisted (relative risk 0.79 [95%CI 0.75-0.84], inter-decile mean change in receiving epidural analgesia -2.5% [95%CI -3.1% to -2.0%]). Women in the most deprived areas with a medical indication for epidural analgesia were still less likely (absolute risk 0.23 [95%CI 0.22-0.24]) to receive epidural analgesia than women from the most advantaged decile without a medical indication (absolute risk 0.25 [95%CI 0.24-0.25]). Socio-economic deprivation is associated with lower utilisation of epidural analgesia, even when epidural analgesia is advisable for maternal safety. Ensuring equitable access to an intervention that alleviates pain and potentially reduces adverse outcomes is crucial.

Is neighbourhood deprivation in primary school-aged children associated with their mental health and does this association change over 30 months?

As both socioeconomic deprivation and the prevalence of childhood mental health difficulties continue to increase, exploring the relationship between them is important to guide policy. We aimed to replicate the finding of a mental health gap that widened with age between those living in the most and least deprived areas among primary school pupils. We used data from 2075 children aged 4-9 years in the South West of England recruited to the STARS (Supporting Teachers and childRen in Schools) trial, which collected teacher- and parent-reported Strength and Difficulties Questionnaire (SDQ) at baseline, 18-month and 30-month follow-up. We fitted multilevel regression models to explore the relationship between Index of Multiple Deprivation (IMD) quintile and SDQ total difficulties score and an algorithm-generated "probable disorder" variable that combined SDQ data from teachers and parents. Teacher- and parent-reported SDQ total difficulties scores indicated worse mental health in children living in more deprived neighbourhoods, which was attenuated by controlling for special educational needs and disabilities but remained significant by parent report, and there was no interaction year group status (age) at baseline. We did not detect an association between probable disorder and IMD although an interaction with time was evident (p = 0.003). Analysis by study wave revealed associations at baseline (odds ratio 1.94, 95% confidence interval 0.97-3.89) and 18 months (1.96, 1.07-3.59) but not 30 months (0.94, 0.54-1.57). These findings augment the existing, highly compelling evidence demonstrating worse mental health in children exposed to socioeconomic deprivation.

Reducing inequalities by supporting individuals to make informed decisions about accepting their breast screening invitations.

Individuals from deprived areas are less likely to attend breast screening. Inequalities in the coverage of breast screening are associated with poorer cancer outcomes. Individuals who have a positive first experience are more likely to attend subsequent mammograms. This work evaluates the provision of an additional telephone call to individuals who have never attended breast screening, to establish whether this increases attendance. 1423 patients from four general practitioner practices within socially deprived areas of National Health Service Tayside (UK) comprised the study population. In addition to their standard appointment letter, individuals were to receive a call at least 24 h prior to their appointment. The call identified barriers to screening, and offered a supportive, problem-solving approach to overcoming these barriers. Data collected included: age, Scottish Index of Multiple Deprivation, first-time invite or previous non-attender, if contactable, duration of call, number of days prior to appointment, and confirmation appointment letter was received. The primary outcome was attendance at the screening. Contact by phone was made with 678 (47.6%) of the study population. Of those, 483 (71.2%) attended their appointment, 122 (18%) cancelled and 73 (10.8%) did not attend (DNA), versus 344 (46.2%) attending, 34 (4.6%) cancelling and 367 (49.3%) not attending among those who were not able to be contacted. Those who received a call were more likely to attend their appointment and less likely to DNA compared to individuals not receiving the call. The intervention is simple and low cost; results indicate that the additional call may increase attendance and reduce DNA appointments at breast screening.

Cardiac interventions in Wales: A comparison of benefits between NHS Wales specialties.

The study aimed to assess if specialised healthcare service interventions in Wales benefit the population equitably in work commissioned by the Welsh Health Specialised Services Committee (WHSSC). The study utilised anonymised individual-level, population-scale, routinely collected electronic health record (EHR) data held in the Secure Anonymised Information Linkage (SAIL) Databank to identify patients resident in Wales receiving specialist cardiac interventions. Measurement was undertaken of associated patient outcomes 2-years before and after the intervention (minus a 6-month clearance period on either side) by measuring events in primary care, hospital attendance, outpatient and emergency department. The analysis controlled for comorbidity (Charlson) and deprivation (Welsh Index of Multiple Deprivation), stratified by admission type (elective or emergency) and membership of top 5% post-intervention costs. Costs were estimated by multiplying events by mean person cost estimates. We identified 5,999 percutaneous coronary interventions (PCI) and 1,640 coronary artery bypass graft (CABG) between 2014-06-01 to 2020-02-29. The ratio of emergency to elective interventions was 2.85 for PCI and 1.04 for CABG. In multivariate analysis significant associations were identified for comorbidity (OR = 1.52, CI = (1.01-2.27)), deprivation (OR = 1.34, CI = (1.03-1.76)) and rurality (OR = 0.81, CI = (0.70-0.95)) for PCI interventions, and comorbidity (OR = 1.47, CI = (1.10-1.98)) for CABG. Higher costs post-intervention were associated with increased comorbidity for PCI and CABG in the top 5% cost groups, but for PCI this was not seen outside the top 5%. For PCI, moderate cost increase was associated with increased deprivation, but the picture was more mixed following CABG interventions. For both interventions, lower costs post intervention were seen in rural locations. We identified and compared health outcomes for selected specialist cardiac interventions amongst patients resident in Wales, with these methods and analyses, providing a template for comparing other cardiac interventions.