Socioeconomic Deprivation Index Research Articles

Patient-Doctor Depth of Relationship Scale validation and its influence on the outcomes: what is the importance of emotional intelligence when approaching the patient?

Background: The patient-doctor relationship (DPR), promotes shared decision-making and patient-centered care, implying emotional intelligence and good communication, leading to positive health outcomes. Objective: To culturally adapt the Patient-Doctor Depth of Relationship Scale (PDDR) and convergently validate with the Patient Enablement Instrument (PEI) to ascertain the correlation between PDR and enablement. Methods: Cross-cultural adaptation process of the PDDR questionnaire to European Portuguese, through translation, linguistic verification, and reverse translation and also its understandability. Convergent validation with the Patient Enablement Instrument (PEI), after their doctor’s appointment, in a general practice/family medicine health unit. Context information, such as gender, age, living status, educational level, monthly income, Socioeconomic Deprivation Index (SEDI), and clinical appointment with the usual doctor, was also collected. Results: PDDR showed good understandability and acceptance and strong internal consistency (Cronbach’s α=0.785; intraclass correlation coefficient=0.785). A total of 81 patients participated in the study, most of them female (70.4%). There was a significant difference in the PDDR total score depending on whether the appointment had been with the usual doctor (p<0.001). Both a weak positive non-significant correlation between PDDR and SEDI total scores (ρ=0.300; p=0.790) and a moderate significant negative correlation between PDDR total score and PEI (ρ=-0.396; p<0.001) were found. Conclusion: The cross-cultural adaptation of the PDDR questionnaire to European Portuguese was carried out. PDDR proved to be a reasonable measure of the patient-doctor relationship, allowing greater patient enablement when a deeper patient-doctor relationship exists.

Socioeconomic Inequalities in SARS-CoV-2 Infection and COVID-19 Health Outcomes in Urban Italy During the COVID-19 Vaccine Rollout, January–November 2021

This study analysed the evolution of the association of socioeconomic deprivation (SED) with SARS-CoV-2 infection and COVID-19 outcomes in urban Italy during the vaccine rollout in 2021. We conducted a retrospective cohort analysis between January and November 2021, comprising of 16,044,530 individuals aged ≥ 20 years, by linking national COVID-19 surveillance system data to the Italian SED index calculated at census block level. We estimated incidence rate ratios (IRRs) of infection and severe COVID-19 outcomes by SED tercile relative to the least deprived tercile, over three periods defined as low (0–10%); intermediate (> 10–60%) and high (> 60–74%) vaccination coverage. We found patterns of increasing relative socioeconomic inequalities in infection, hospitalisation and death as COVID-19 vaccination coverage increased. Between the low and high coverage periods, IRRs for the most deprived areas increased from 1.09 (95%CI 1.03–1.15) to 1.28 (95%CI 1.21–1.37) for infection; 1.48 (95%CI 1.36–1.61) to 2.02 (95%CI 1.82–2.25) for hospitalisation and 1.57 (95%CI 1.36–1.80) to 1.89 (95%CI 1.53–2.34) for death. Deprived populations in urban Italy should be considered as vulnerable groups in future pandemic preparedness plans to respond to COVID-19 in particular during mass vaccination roll out phases with gradual lifting of social distancing measures.

Assessing Environmental Justice at the Urban Scale: The Contribution of Lichen Biomonitoring for Overcoming the Dichotomy between Proximity-Based and Distribution-Based Approaches

In this study, we tested the use of lichen biomonitoring techniques for the assessment of air quality disparities at the urban scale. We based our evaluation on the results of a previous lichen biomonitoring study carried out in Milan (Northern Italy), which estimates the contamination by potentially toxic elements (PTEs) and its distribution over the area, also providing an evaluation of the main emission sources. Therefore, we used the traditional methodologies for environmental justice assessment: the proximity-based and the distribution-based approaches. The workflow we propose is a data-driven selection of emission sources that contributes to overcoming the dichotomy between the two approaches and is now widely debated in the scientific community. A socio-economic deprivation index was elaborated for each census unit of Milan city and then related to the proximity of the emission sources previously selected. The results suggested that in the surrounding of industries and railways, the deprivation is higher, while the proximity of main roads is inhabited by wealthier populations. The distribution-based approach was run through a quantile regression analysis, and the outcome indicated that among the wealthier groups, an increase in contamination is followed by an increase in socio-economic deprivation, whilst among the deprived groups, people with greater economic opportunities tend, however, to live in worse air quality conditions due to the proximity of communication routes. This study poses the potential to review the classical methods of EJ assessment, providing a reliable workflow applicable in urban areas—the most vulnerable in terms of air quality disparities in the present and in the future.

Sociodemographic and Environmental Determinants of Regional Prevalence of Psoriasis in Germany: A Spatiotemporal Study of Ambulatory Claims Data.

There are regional differences in the prevalence of psoriasis between countries, as well as within countries. However, regional determinants of differences in prevalence are not yet understood. The aim of this study was to identify sociodemographic and environmental determinants of regional prevalence rates for psoriasis. Analyses were based on German outpatient billing data from statutory health insurance, together with data from databases on sociodemographic and environment factors at the county level (N = 402) for 2015-2017. Descriptive statistics were calculated for all variables. To identify determinants for prevalence at the county level, spatiotemporal regression analysis was performed, with prevalence as the dependent variable, and the number of physicians, mean age, mean precipitation, sunshine hours, mean temperature, level of urbanity, and the German Index of Socioeconomic Deprivation (GISD) as independent variables. Mean prevalence of psoriasis increased from 168.63 per 10,000 in 2015 to 173.54 per 10,000 in 2017 for Germany as a whole, with high regional variation. Five determinants were detected (p < 0.05). The prevalence increased by 4.18 per 10,000 persons with SHI with each GISD unit, and by 3.76 per 10,000 with each year increase in age. Each additional hour of sunshine resulted in a decrease of 0.04 and each °C increase in mean temperature resulted in an increase of 4.22. Each additional dermatologist per 10,000 inhabitants resulted in a decrease of 0.07. In conclusion, sociodemographic and environmental factors result in significant differences in prevalence of psoriasis, even within-country.

Effect of area-level socioeconomic deprivation on mental and physical health: A longitudinal natural experiment among refugees in Germany

Existing studies on contextual health effects struggle to account for compositional bias, limiting causal interpretation. We use refugee dispersal in Germany as a natural experiment to study the effect of area-level socioeconomic deprivation on mental and physical health, while considering the potential mediating role of neighbourhood characteristics. Refugees subject to dispersal (n = 1466) are selected from a nation-wide longitudinal refugee study (IAB-SOEP-BAMF Panel; 2016–2018). Multi-level linear regression models, adjusted for age, sex, education, country of origin, federal state, asylum status and length of residence in Germany, are fitted to the change in mental and physical health subscales of the SF-12 depending on quintiles (Q1 – Q5) of commune-level socioeconomic deprivation (German Index of Socioeconomic Deprivation, GISD). This is followed by sensitivity analyses and mediation analyses for housing, social cohesion, proportion of non-citizens in the neighbourhood, access to green space, population density and primary care physician density. Residency in districts with moderate-high deprivation (Q4) has a negative impact on physical health (coef.: -2.2, 95%CI: -4.1;-0.2) compared to lowest deprivation (Q1). Moderate-high deprivation (Q4) has a positive impact on mental health, but the effect is statistically insignificant (coef.: 1.6, 95%CI: -0.7; 3.9). Comparisons with other deprivation quintiles are statistically insignificant. Sensitivity analyses confirm results of the final models, while no mediating factors show a substantial impact on the observed relationship. The results point to gaps in health and social service provision for refugees living in the most deprived regions, but further research is required to understand the precise mechanisms behind the observed relationships. Further research using longer timeframes and larger sample sizes are required to confirm results.

Association between neighborhood-based material deprivation and liver transplant waitlist registrants demographics and mortality.

Liver transplantation for alcohol-related liver disease (ARLD) has increased. We examined temporal trends in ARLD listing practices by neighborhood deprivation and evaluated the impact of neighborhood deprivation on waitlist mortality. We included all adults>18 years listed 2008-2019 in the UNOS registry. Our primary exposure was the neighborhood socioeconomic deprivation index based on patients' listing zip codes. We determined temporal trends in an ARLD listing diagnosis. We modeled ARLD listing diagnosis using logistic regression and waitlist mortality using Cox proportional hazards models. The waitlist contained an increasing proportion of patients listed with ARLD over the study period; however, this rate increased the least for patients from the most deprived tertile (p<.001). Patients from the most deprived tertile were the least likely to be listed with ARLD (OR: .97, 95CI: .95-.98). In our adjusted model, patients from the most deprived tertile had an increased hazard of waitlist mortality (OR: 1.10, 95CI: 1.06-1.14). Neighborhood deprivation was associated with a decreased likelihood of being listed with ARLD, suggesting that transplant for ARLD is inequitably available. The increased mortality associated with neighborhood deprivation demands future work to uncover the underlying reasons for this disparity.

Ancestry-attenuated effects of socioeconomic deprivation on type 2 diabetes disparities in the All of Us cohort

BackgroundDiabetes is a common disease with a major burden on morbidity, mortality, and productivity. Type 2 diabetes (T2D) accounts for roughly 90% of all diabetes cases in the USA and has a greater observed prevalence among those who identify as Black or Hispanic.MethodsThis study aimed to assess T2D racial and ethnic disparities using the All of Us Research Program data and to measure associations between genetic ancestry (GA), socioeconomic deprivation, and T2D. We used the All of Us Researcher Workbench to analyze T2D prevalence and model its associations with GA, individual-level (iSDI), and zip code-based (zSDI) socioeconomic deprivation indices among participant self-identified race and ethnicity (SIRE) groups.ResultsThe study cohort of 86,488 participants from the four largest SIRE groups in All of Us: Asian (n = 2311), Black (n = 16,282), Hispanic (n = 16,966), and White (n = 50,292). SIRE groups show characteristic genetic ancestry patterns, consistent with their diverse origins, together with a continuum of ancestry fractions within and between groups. The Black and Hispanic groups show the highest levels of socioeconomic deprivation, followed by the Asian and White groups. Black participants show the highest age- and sex-adjusted T2D prevalence (21.9%), followed by the Hispanic (19.9%), Asian (15.1%), and White (14.8%) groups. Minority SIRE groups and socioeconomic deprivation, both iSDI and zSDI, are positively associated with T2D, when the entire cohort is analyzed together. However, SIRE and GA both show negative interaction effects with iSDI and zSDI on T2D. Higher levels of iSDI and zSDI are negatively associated with T2D in the Black and Hispanic groups, and higher levels of iSDI and zSDI are negatively associated with T2D at high levels of African and Native American ancestry.ConclusionsSocioeconomic deprivation is associated with a higher prevalence of T2D in Black and Hispanic minority groups, compared to the majority White group. Nonetheless, socioeconomic deprivation is associated with reduced T2D risk within the Black and Hispanic groups. These results are paradoxical and have not been reported elsewhere, with possible explanations related to the nature of the All of Us data along with SIRE group differences in access to healthcare, diet, and lifestyle.

Case report Germany

Abstract Health data in Germany is collected through official statistics, registries, health insurance and population-based health information surveys. These data are used for monitoring progress of the Sustainable Development Goal on Good Health and Well-being (SDG3). According to the Sustainable Development Report 2022, Germany has achieved an overall high-performance score; however, there are still two health indicators which are stagnating or back-warding: “Gap in self-reported health status by income” and “Gap in life expectancy at birth among regions”. In order to illustrate regional inequalities in health, the Robert Koch Institute has developed the German Index of Socioeconomic Deprivation, which merges the dimensions of education, employment and income. It has been estimated that life expectancy between the least and most deprived district in Germany in 2017 differed by 6.0 years among men and by 3.2 years among women. In addition, data on all-cause premature mortality in Germany between 1992 and 2016 showed that while 13% of women and 27% of men from the lowest income group died before reaching the age of 65, this was the case for 8% of women and 14% of men from the highest income group. Self-rated health (SRH) according to income showed in Germany 2019 the largest gap (31% points) compared to other high-income OECD countries. Data from the German Health Update 2019/2020 also showed differences in SRH according to educational background. These differences were more pronounced among women (54% vs. 82%) than men (64% vs. 81%) and largely persisted across all age groups. Unfavorable SRH is an indicator known to be associated with increased morbidity and health-related limitations in daily life as well as a predictor of premature mortality. In Germany progress towards achieving SDG3 has been made; however, it is important to identify vulnerable groups and health inequalities in order to develop target-oriented interventions.

Widening area-based socioeconomic inequalities in cancer mortality in Germany between 2003 and 2019

Cancer mortality has declined in recent decades, but—due to a lack of national individual-level data—it remains unclear whether this applies equally to all socioeconomic groups in Germany. Using an area-based approach, this study investigated socioeconomic inequalities in cancer mortality and their secular trends on a German nationwide scale for the first time. Official cause-of-death data from 2003 to 2019 were linked to the district-level German Index of Socioeconomic Deprivation. Age-standardised mortality rates for all cancers combined and the most common site-specific cancers were calculated according to the level of regional socioeconomic deprivation. To quantify the extent of area-based socioeconomic inequalities in cancer mortality, absolute (SII) and relative (RII) indices of inequality were estimated using multilevel Poisson models. On average, cancer mortality was 50% (women) and 80% (men) higher in Germany’s most deprived than least deprived districts (absolute difference: 84 deaths per 100,000 in women and 185 deaths per 100,000 in men). As declines in cancer mortality were larger in less deprived districts, the socioeconomic gap in cancer mortality widened over time. This trend was observed for various common cancers. Exceptions were cancers of the lung in women and of the pancreas in both sexes, for which mortality rates increased over time, especially in highly deprived districts. Our study provides first evidence on increasing socioeconomic inequalities in cancer mortality on a nationwide scale for Germany. Area-based linkage allows to examine socioeconomic inequalities in cancer mortality across Germany and identify regions with high needs for cancer prevention and control.

Comparison of two area-level socioeconomic deprivation indices: Implications for public health research, practice, and policy.

To compare 2 frequently used area-level socioeconomic deprivation indices: the Area Deprivation Index (ADI) and the Social Vulnerability Index (SVI). Index agreement was assessed via pairwise correlations, decile score distribution and mean comparisons, and mapping. The 2019 ADI and 2018 SVI indices at the U.S. census tract-level were analyzed. Index correlation was modest (R = 0.51). Less than half (44.4%) of all tracts had good index agreement (0-1 decile difference). Among the 6.3% of tracts with poor index agreement (≥6 decile difference), nearly 1 in 5 were classified by high SVI and low ADI scores. Index items driving poor agreement, such as high rents, mortgages, and home values in urban areas with characteristics indicative of socioeconomic deprivation, were also identified. Differences in index dimensions and agreement indicated that ADI and SVI are not interchangeable measures of socioeconomic deprivation at the tract level. Careful consideration is necessary when selecting an area-level socioeconomic deprivation measure that appropriately defines deprivation relative to the context in which it will be used. How deprivation is operationalized affects interpretation by researchers as well as public health practitioners and policymakers making decisions about resource allocation and working to address health equity.

Gender differences in the management of acute psychiatric episodes in the emergency department: a cross-sectional analysis of the 2017-2019 triennium.

There is growing evidence that gender is an important determinant of mental health and well-being. In this sense, both biological and socio-economic factors play a key role in how people experience psychological disturbances. This study examine whether there were sex- and gender-based differences in the management of psychiatric disorders in the emergency department (ED). A cross-sectional retrospective study was conducted in the ED over the 2017-2019 period. Sex was codified as female/male and socio-economic deprivation index was compiled to address the impact of social determinants. Episodes were reclassified according to four major clusters. Psychotropic drug prescription was categorized according to the ATC classification. Poisson regression models, adjusted for age and socioeconomic status, were used. A total of 9789 episodes (53.9% females) of individuals who required an acute-related psychiatric intervention were retrieved. Age distribution and socioeconomic quintiles revealed gender differences. Anxiety-related consultations accounted for up to 50% of all episodes. Female gender was found to be overrepresented in anxiety and stress-related disorders, mood disorders, and personality disorders. In contrast, Males accounted for 70% of all psychoactive substance use disorders. Considering main clinical syndromic clusters, analysis showed that female patients were more likely to be prescribed with anxiolytic treatment in ED treatment than men in the categories of "Common mental disorders" (PR = 1.122 [1.014-1.242; p = 0.025), "Severe Mental Disorders" (PR = 1.217[1.054-1.406] p = 0.007) and "Personality disorders" (PR = 1.398 (1.038 - 1.884); p = 0.028). This study highlights the relevance of considering sex and gender as potential determinants in both the clinical presentation and management of psychiatric emergencies.

Regional Socioeconomic Deprivation in Germany and Adherence to the 24-h Movement Guidelines among Children and Adolescents.

To examine the relationship between regional socioeconomic deprivation and adherence to the 24-h movement guidelines among children and adolescents, a cross-sectional study was conducted. A total of 17,433 students aged 9-17 participated in a survey in winter 2021/2022. Daily screen time (ST), moderate-to-vigorous physical activity (MVPA), and sleep behavior were outcome variables. The German Index of Socioeconomic Deprivation (GISD), a regional socioeconomic objective measure, was the exposure variable. Associations between GISD and health behaviors were examined using regression models. Models were adjusted for age, gender, school type, and individual self-reported socioeconomic status (SES). The proportions of meeting the MVPA, ST, and sleep duration guidelines were 14%, 22%, and 34%, respectively. A total of 2.3% met all guidelines. Students from the most deprived communities were half as likely to meet all three guidelines compared to students from the most affluent regions (OR = 0.49 [0.28; -0.03], p = 0.010). There was a consistent relationship between GISD and lower levels of adherence to screen time guidelines (most deprived compared to most affluent: OR = 0.49 [0.38; 0.64], p < 0.001). There was no association between GISD and adherence to sleep time guidelines. We found mixed results for the association between GISD and MVPA. Regional SES appears to be an important factor associated with screen time. Screen time should be limited through intervention programs, especially in disadvantaged areas. Parents should be made aware of their children's increased media consumption. Recommendations for screen time should be clearly communicated, as should the health disadvantages of increased media consumption in childhood and adolescence.

Validation and Cultural Adaptation of the Problem Areas in Diabetes-5 (PAID-5) Scale to European Portuguese.

Diabetes distress syndrome (DDS) can lead to poor outcomes and should be assessed with adapted and validated tools. One of these tools is the Problem Areas in Diabetes (PAID) scale, which assesses diabetes distress in people suffering from diabetes (PsD). A short five-item form, PAID-5, is an easier and quicker alternative to be used in clinical and research practices, than the previous one with 20-items and has been validated by the original authors. This study intended to perform the cultural adaptation and validation of the PAID-5 scale in European Portuguese. To create the Portuguese version of PAID-5, translation-back translation, a clinical review, and a cognitive debriefing panel were performed. A convenience sample of 90 PsD was studied in three primary healthcare units for reliability and validity tests. Reliability was studied by the internal consistency (Cronbach's alpha) and the interval coefficient correlation (ICC) under a test-retest design. Structural validity was studied by principal component analysis. The construct validity was tested by the sensitivity of the PAID-5 total score with age, most recent HbA1c test, and socioeconomic class by the Socio-Economic Deprivation Index (SEDI). Criterion validity was tested by correlating the PAID-5 total score with the psychological distress questions of the Diabetes Health Profile 18 Questions (DHP-PDQ). A Cronbach's alpha coefficient value of 0.905 and an ICC of 0.905 were computed. In a sample of n = 90 PsD, 55.6% were males, 63.3% aged 65 years or more, SEDI was 5.2 ± 0.8 [3 to 6], 44.4% studied for less than 4 years, and 18.9% were living alone. The Spearman correlation between PAID-5 and DHP-PDQ total scores was ρ = 0.382, p < 0.001, between PAID-5 total score and age was ρ = -0.207, p = 0.050 and between PAID-5 total score and most recent HbA1c knowledge was ρ = 0.275, p = 0.040. There was no significant relationship between PAID-5 total score and SEDI ρ = 0.080, p = 0.452. DDS can now be assessed in the Portuguese context, accounting for better intervention by primary care teams. PAID-5 has good psychometric properties and is a reliable scale to identify diabetes-specific distress in the Portuguese diabetic population.

Access to cardiological care infrastructure in the federal state of Brandenburg considering the local care needs

In a nationwide comparison, the state of Brandenburg has one of the highest morbidity and mortality rates of ischemic heart disease. Access to medical care infrastructure is considered to be one possible explanation for regional health inequalities. Accordingly, the study aims to calculate the distances to different types of cardiology care at the community level and to consider these in the context of local care needs. Preventive sports facilities, general practitioners, outpatient specialist care, hospitals with cardiac catheterization laboratory and outpatient rehabilitation were chosen and mapped as essential facilities for cardiological care. Thereafter, the distances across the road network from the center of each Brandenburg community to the nearest location of each care facility was calculated and divided into quintiles. Medians and interquartile ranges of the German Index of Socioeconomic Deprivation and the proportion of the population over 65 were used as measures of the need for care. They were then related to the distance quintiles per type of care facility. For 60% of Brandenburg's municipalities, general practitioners were found to be within 2.5 km, preventive sports facilities within 19.6 km, cardiology practices within 18.3 km, hospitals with cardiac catheterization laboratories within 22.7 km, and outpatient rehabilitation facilities within 14.7 km. The median of the German Index of Socioeconomic Deprivation rose with increasing distance for all types of care facilities. The median of the proportion of over 65-year-olds showed no significant variation between distance quintiles. The results show that a high proportion of the population lives far away from cardiology care services, while a high proportion seems to be able to reach a general practitioner. In Brandenburg, a regional and locally oriented cross-sectoral care seems to be necessary.

Supporting Children Who Are English Language Learners Succeed in Their Early Literacy Development

Introduction: The Better Start Literacy Approach is an example of a multi-tiered system of support (MTSS) to facilitate children’s early literacy success. It is set within a strengths-based and culturally responsive framework for literacy teaching and is being implemented in over 800 English medium schools across New Zealand. This report focuses on how children identified at school entry as English Language Learners (ELL) responded to the Better Start Literacy Approach during their first year at school. Method: Using a matched control design, the growth in phoneme awareness, phoneme-grapheme knowledge, and oral narrative skills for 1,853 ELL was compared to a cohort of 1,853 non-ELL. The cohorts were matched for ethnicity (mostly Asian, 46% and Pacific, 26%), age (M = 65 months), gender (53% male), and socioeconomic deprivation index (82% in areas of mid to high deprivation). Results: Data analyses indicated similar positive growth rates for ELL and non-ELL from baseline to the first monitoring assessment following 10 weeks of Tier 1 (universal/class level) teaching. Despite demonstrating lower phoneme awareness skills at baseline, following 10 weeks of teaching, the ELL cohort performed similarly to non-ELL in non-word reading and spelling tasks. Predictors of growth analyses indicated that ELL from areas of low socioeconomic deprivation, who used a greater number of different words in their English story retells at the baseline assessment, and females made the most growth in their phonic and phoneme awareness development. Following the 10-week monitoring assessment, 11% of the ELL and 13% of the non-ELL cohorts received supplementary Tier 2 (targeted small group) teaching. At the next monitoring assessment (20 weeks post baseline assessment) the ELL cohort showed accelerated growth in listening comprehension, phoneme-grapheme matching and phoneme blending skills, catching up to their non-ELL peers. Discussion: Despite limitations of the dataset available, it provides one of the few insights into the response of ELL to Tier 1 and Tier 2 teaching in their first year at school. The data suggest that the Better Start Literacy Approach, which includes high-quality professional learning and development for teachers, literacy specialists, and speech-language therapists, is an effective approach toward developing foundational literacy skills for ELL. The important role speech-language therapists have in collaborating with class teachers to support children’s early literacy success within a MTSS framework is discussed.

Head-to-head effectiveness and safety of pembrolizumab plus axitinib vs. nivolumab plus ipilimumab in metastatic renal cell carcinoma in the United States.

4532 Background: Two main first-line combination therapies for metastatic renal cell carcinoma (mRCC) are pembrolizumab plus axitinib (P+A) and nivolumab plus ipilimumab (N+I). No head-to-head clinical trial comparing these treatments has been performed, and the available real-world data (RWD) on their effectiveness is limited. Here, we used RWD to compare the overall survival and posttreatment hospitalization rates of mRCC patients receiving P+A vs. N+I. Methods: We included mRCC patients treated with N+I or P+A between 6/2018 and 3/2022, utilizing data from Elevance Health administrative claims and clinical data from AIM Cancer Care Quality Program. Inverse probability of treatment weighting (IPTW) was used to adjust for age, sex, socioeconomic deprivation index (SDI), ECOG performance status (PS), Charlson Comorbidity Index (CCI), and metastatic sites. Real-world overall survival (rwOS) was defined from first treatment until death or last claim and was estimated using weighted Kaplan-Meier method. Favorable risk was defined based on PS (&lt;2) and with a treatment initiated less than 1 year from diagnosis. Results: We identified 764 mRCC patients, of them 483 were treated with N+I (63%). The P+A group was slightly older (p=0.08), while other features were similar in both groups. Survival analysis using IPTW showed a borderline significant advantage of P+A vs. N+I (p-value=0.07). Inspection of the Kaplan-Meier curves suggested that P+A provides short-term survival benefit: 12-month rwOS was 86% for P+A vs. 77.8% for N+I (p&lt;0.001), while at 24-months, where power was lower, the curves almost converged (rwOS: 68% in P+A vs. 65% in N+I; p=0.52). In a subset of patients with favorable risk (N=69 P+A, N=68 N+I), the P+A survival improvement extended to at least 24-months (p=0.06). Finally, the N+I group had significantly higher rates of posttreatment hospitalizations (3-months after treatment initiation) compared to the P+A group (31.9% vs. 19.6%; p-value&lt;0.001). Conclusions: Our retrospective cohort study suggests that P+A may provide short-term survival benefits over N+I, and this benefit is extended in patients with favorable risk. P+A is also associated with fewer post-treatment hospitalizations. We argue that the higher toxicity of N+I may explain its lower short-term effectiveness and may also explain its lower effectiveness in patients with favorable risk. [Table: see text]

Neighborhood violence and socioeconomic deprivation influence associations between acute air pollution and temperature on childhood asthma in New York city

Ambient air pollution, temperature, and social stressor exposures are linked with asthma risk, with potential synergistic effects. We examined associations for acute pollution and temperature exposures, with modification by neighborhood violent crime and socioeconomic deprivation, on asthma morbidity among children aged 5–17 years year-round in New York City. Using conditional logistic regression in a time-stratified, case-crossover design, we quantified percent excess risk of asthma event per 10-unit increase in daily, residence-specific exposures to PM2.5, NO2, SO2, O3, and minimum daily temperature (Tmin). Data on 145,834 asthma cases presenting to NYC emergency departments from 2005 to 2011 were obtained from the New York Statewide Planning and Research Cooperative System (SPARCS). Residence- and day-specific spatiotemporal exposures were assigned using the NYC Community Air Survey (NYCCAS) spatial data and daily EPA pollution and NOAA weather data. Point-level NYPD violent crime data for 2009 (study midpoint) was aggregated, and Socioeconomic Deprivation Index (SDI) scores assigned, by census tract. Separate models were fit for each pollutant or temperature exposure for lag days 0–6, controlling for co-exposures and humidity, and mutually-adjusted interactions (modification) by quintile of violent crime and SDI were assessed. We observed stronger main effects for PM2.5 and SO2 in the cold season on lag day 1 [4.90% (95% CI: 3.77–6.04) and 8.57% (5.99–11.21), respectively]; Tmin in the cold season on lag day 0 [2.26% (1.25–3.28)]; and NO2 and O3 in the warm season on lag days 1 [7.86% (6.66–9.07)] and 2 [4.75% (3.53–5.97)], respectively. Violence and SDI modified the main effects in a non-linear manner; contrary to hypotheses, we found stronger associations in lower-violence and -deprivation quintiles. At very high stressor exposures, although asthma exacerbations were highly prevalent, pollution effects were less apparent—suggesting potential saturation effects in socio-environmental synergism.

The Effect of Health Insurance on Pediatric Cancer Survival: An Analysis of Children Evaluated for Radiation Therapy in Diverse Multicenter Health Systems.

Understanding the role of health insurance in cancer survival in a diverse population of pediatric radiation oncology patients could help to identify patients at risk of adverse outcomes. Data were collected from cancer patients evaluated for radiation therapy, age < 19, diagnosed from January 1990 to August 2019. Predictors of recurrence-free survival (RFS) and overall survival (OS) were analyzed by univariable and multivariable Cox regression. Variables included health insurance, diagnosis type, sex, race/ethnicity, and socioeconomic status deprivation index. The study included 459 patients with a median diagnosis age of 9 years. Demographic breakdown was 49.5% Hispanic, 27.2% non-Hispanic White, and 20.7% non-Hispanic Black. There were 203 recurrences and 86 deaths observed over a median follow-up of 2.4 years. Five-year RFS was 59.8% (95% CI, 51.6, 67.0) versus 36.5% (95% CI, 26.6, 46.6), and 5-year OS was 87.5% (95% CI, 80.9, 91.9) versus 71.0% (95% CI, 60.3, 79.3) in private pay insurance versus Medicaid/Medicare, respectively. Multivariable showed Medicaid/Medicare patients experienced a 54% higher risk of recurrence (hazard ratio: 1.54, 95% CI, 1.08, 2.20) and 79% higher risk of death (hazard ratio: 1.79, 95% CI, 1.02, 3.14) than privately insured patients. Significant disadvantages in RFS and OS were identified in radiation oncology patients with Medicaid/Medicare insurance, even after adjusting for clinical and demographic variables.

Association of socio-economic deprivation with COVID-19 incidence and fatality during the first wave of the pandemic in Italy: lessons learned from a local register-based study

BackgroundCOVID-19 has been characterised by its global and rapid spread, with high infection, hospitalisation, and mortality rates worldwide. However, the course of the pandemic showed differences in chronology and intensity in different geographical areas and countries, probably due to a multitude of factors. Among these, socio-economic deprivation has been supposed to play a substantial role, although available evidence is not fully in agreement. Our study aimed to assess incidence and fatality rates of COVID-19 across the levels of socio-economic deprivation during the first epidemic wave (March–May 2020) in the Italian Province of Foggia, Apulia Region.MethodsBased on the data of the regional active surveillance platform, we performed a retrospective epidemiological study among all COVID-19 confirmed cases that occurred in the Apulian District of Foggia, Italy, from March 1st to May 5th, 2020. Geocoded addresses were linked to the individual Census Tract (CT) of residence. Effects of socio-economic condition were calculated by means of the Socio-Economic and Health-related Deprivation Index (SEHDI) on COVID-19 incidence and fatality.ResultsOf the 1054 confirmed COVID-19 cases, 537 (50.9%) were men, 682 (64.7%) were 0–64 years old, and 338 (32.1%) had pre-existing comorbidities. COVID-19 incidence was higher in the less deprived areas (p < 0.05), independently on age. The level of socio-economic deprivation did not show a significant impact on the vital status, while a higher fatality was observed in male cases (p < 0.001), cases > 65 years (p < 0.001), cases having a connection with a nursing home (p < 0.05) or having at least 1 comorbidity (p < 0.001). On the other hand, a significant protection for healthcare workers was apparent (p < 0.001).ConclusionsOur findings show that deprivation alone does not affect COVID-19 incidence and fatality burden, suggesting that the burden of disease is driven by a complexity of factors not yet fully understood. Better knowledge is needed to identify subgroups at higher risk and implement effective preventive strategies.

Levelling up or left behind? are GP training opportunities in northern Ireland widening or closing the gap on health inequalities?

Increasing the GP workforce will not necessarily level up healthcare provision: instead increasing GP training numbers could worsen health inequity and inequalities. This is especially true if there are fewer opportunities to learn, train and build confidence in under-served, socioeconomically deprived areas. To investigate the representation of socioeconomic deprivation in postgraduate GP training practices in Northern Ireland (NI). Socioeconomic deprivation indices and scores of GP practices in Northern Ireland were calculated. We compared the socioeconomic deprivation indices and scores of GP postgraduate training practices against general practice in NI by examining the representation of practices whose patients live in areas of blanket deprivation, higher deprivation and higher affluence. Of 319 practices in NI, 171 (54%) were registered as postgraduate training practices with a mean deprivation score of 3.02 (95% CI 2.91-3.12) compared with non-training practices' higher mean deprivation score of 3.2 (95% CI 3.01-3.33), P-value <0.05. The proportion of training practices with blanket deprivation and higher levels of deprivation was underrepresented, with the current postgraduate GP training practices having more affluent populations. Postgraduate training practices had a statistically significant lower deprivation score and did not fully reflect the socioeconomic make-up of wider NI general practice. The results, however, are more favourable than in other areas of the UK and better than undergraduate teaching opportunities in general practice. Health inequalities will worsen if the representation of general practice training in areas of greater social economic deprivation is not increased.