Deprived Regions Research Articles

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.

Trends in inequalities in avoidable hospitalisations across the COVID-19 pandemic: a cohort study of 23.5 million people in England

ObjectiveTo determine whether periods of disruption were associated with increased ‘avoidable’ hospital admissions and wider social inequalities in England.DesignObservational repeated cross-sectional study.SettingEngland (January 2019 to March 2022).ParticipantsWith the approval of...

Multidimensional Deprivations and Associated Factors Among Older Adults in Urban Geographies of Nigeria: Implications for Poor Health Outcomes in Later Life.

Objectives: Many urban-dwelling older Nigerians are multidimensionally deprived and are unable to meet their daily financial, nutritional, and healthcare needs. This has implications for their health outcomes, yet it has been under-researched. This study assessed the multidimensional deprivation index (MDI) of urban-dwelling older Nigerians and the associated factors. Methods: The study analysed a weighted sample of 5,225 older persons aged ≥60 years from Nigeria's Demographic and Health Survey, 2018. MDI was estimated, and associations were examined using a multilevel multinomial logistic regression model. Results: Nationally, 75% of the older persons were multidimensionally deprived, with 27% severely deprived. Women (36%) were more severely deprived than men (20%). Those in the Northern regions (38%-40%) were the most deprived. Higher MD risk was associated with female gender and older ages ≥70-79years. Conversely, lower risk was associated with households headed by family and residence in educated communities. Community variation accounts for 10.4% and 35.9% of the MD and severe MD risks, respectively. Conclusion: This study suggests socioeconomic interventions that address gender disparities and target highly deprived regions, with consideration for individual and community characteristics.

The influence of urban trees and total vegetation on asthma development in children.

We aimed to assess whether the influence of urban vegetation on asthma development in children (<13 years) varies by type (e.g., total vegetation, tree type, and grass) and season. We used a cohort of all children born in Montreal, Canada, between 2000 and 2015. Children and cases were identified from linked medico-administrative databases. Exposure to residential vegetation was estimated using the Normalized Difference Vegetation Index (NDVI) for total vegetation and using the total area covered by deciduous and evergreen crowns for trees in 250 m buffers centered on residential postal codes. Seasonal variations in vegetation were modeled by setting values to zero on days outside of pollen and leaf-on seasons. Cox models with vegetation exposures, age as a time axis, and adjusted for sex, material deprivation, and health region were used to estimate hazard ratios (HR) for asthma development. We followed 352,946 children for a total of 1,732,064 person-years and identified 30,816 incident cases of asthma. While annual vegetation (total and trees) measures did not appear to be associated with asthma development, models for pollen and leaf-on seasons yielded significant nonlinear associations. The risk of developing asthma was lower in children exposed to high levels (>33,300 m2) of deciduous crown area for the leaf-on season (HR = 0.69; 95% confidence interval [CI] = 0.67, 0.72) and increased for the pollen season (HR = 1.07; 95% CI =1.02, 1.12), compared with unexposed children. Similar results were found with the Normalized Difference Vegetation Index. The relationship between urban vegetation and childhood asthma development is nonlinear and influenced by vegetation characteristics, from protective during the leaf-on season to harmful during the pollen season.

Neighborhood Disadvantage Increases Risk of Adverse Clinical Events in Children with Sickle Cell Disease

Background: Hydroxyurea is the most widely used pharmacologic agent to treat patients with sickle cell disease (SCD). Hydroxyurea treatment has well established effects of inducing expression of fetal hemoglobin (HbF) and a beneficial impact on clinical outcomes such as reduced number of vaso-occlusive (VOC) events, transfusions, and hospitalizations. In non-SCD populations, living in socio-economic disadvantage is a well-established factor for poor health outcomes. However, there is a paucity of data to describe how social stressors impact children with SCD. We hypothesized that socio-economic disadvantage impacts risk of adverse clinical outcomes in pediatric SCD patients even while on hydroxyurea therapy. Methods: We performed a retrospective chart review on 121 pediatric patients with severe SCD genotypes (homozygous HbS and sickle-beta 0 thalassemia) seen at Texas Children's Hospital (TCH) between 2010-2021. All patients were treated with hydroxyurea for a minimum of five years. Adherence to hydroxyurea was assessed through lab markers including absolute neutrophil count and reticulocyte counts. Patients not adherent were excluded from analysis. We examined the incidence of all clinical events for a total of 1026 patient years, including the number of office visits, ER visits, hospitalizations, transfusions, VOC, acute chest syndrome episodes (ACS), acute splenic sequestration (ASS), and febrile illness. We collected laboratory data including absolute neutrophil count, hemoglobin level, and HbF levels for each patient per year they were on hydroxyurea. We used the area deprivation index (ADI) to determine a score of neighborhood disadvantage amongst our cohort of patients. The ADI is a factor-based index which uses 17 US Census variables including poverty, education, and employment. We used individual residential addresses during our observation period to assign a geocode specific to each individual and obtain an ADI score. The ADI scores are ranked from 1-10, with higher ADI rankings reflecting a higher level of disadvantage. Results: All individuals with SCD had a robust response to hydroxyurea within their first year of initiating the drug (&amp;gt;20% HbF). We stratified our cohort based on their ADI scores into low ADI (1-3; n=42); medium ADI (4-6; n=42); and high ADI groups (7-10; n=37), where high ADI is the group with highest levels of disadvantage. All three groups had a similar average duration of hydroxyurea treatment. There were no significant differences in age, sex, or reason given for starting hydroxyurea between the ADI groups. When we examined hydroxyurea response, there was no significant difference in HbF levels at 1 year (23.8 vs. 24.06 %HbF in the low vs. high ADI groups) or after 5 years (19.6 vs. 18.6 % HbF in the low and high ADI groups). Individuals with high ADI did started hydroxyurea at a younger age (2.9 years vs. 4.9 years, p=0.02). We found that any individual living in an area with higher ADI had an increased incidence of adverse clinical events. We calculated the incidence of each clinical event per 100 patient years in our 3 ADI groups and used a conditional maximum likelihood estimate of rate ratio method to compare incidences (Table 1). We found that among individuals living in an area with a higher ADI (more deprived region), there was increased frequency of ER visits, hospitalizations, transfusions, VOC, and ASS. In particular, patients with the highest ADI had a 3 and 5 times higher rate of VOC and ASS, respectively (Table 1). Discussion: While we did not observe an association between ADI and HbF expression, our results show that higher neighborhood disadvantage is associated with poorer clinical outcomes among hydroxyurea-adherent pediatric patients with SCD who maintained a robust response to the drug (&amp;gt;20% HbF). All individuals in our study had a similar number of routine office visits at our clinic but any patient living in an area of high ADI had significantly more ER visits and hospitalizations for VOC and ASS events. While hydroxyurea is shown to reduce hospitalizations and VOC events in pediatric sickle cell patients, we show that neighborhood disadvantage can influence clinical outcomes even among patients who respond to hydroxyurea. More analysis remains in order to better characterize this association, and to understand additional strategies that can be used to reduce clinical events in pediatric patients of lower socioeconomic status.

Favorable credit to private agents and the local economies in the deprived regions of Brazil: a spatial panel analysis

Favorable credit to private agents and the local economies in the deprived regions of Brazil: a spatial panel analysis

Accuracy of HemoCue301 portable hemoglobin analyzer for anemia screening in capillary blood from women of reproductive age in a deprived region of Northern Peru: An on-field study.

We aim to assess the accuracy and effectiveness of the HemoCue 301, a point-of-care (POC) device for measuring hemoglobin levels, and detecting anemia among individuals living in Tumbes, a rural, underserved area in Northern Peru. Baseline analysis of a clinical trial aimed at assessing the effect of multi-fortified bread (NCT05103709). Adult women with capillary blood HemoCue 301 readings below 12 g/dL were recruited in coastal city of Tumbes, Peru. A total of 306 women took part of the study, venous blood samples were taken and analyzed with an automated hematology analyzer. Serum samples were used to measure ferritin, serum iron and C reactive protein. Capillary blood measured by the Hemocue 301 has a bias of 0.36 ± 0.93 g/dL respect to the automated Hb. More than 50% of women with normal ferritin values were classified as anemics according to the HemoCue 301. Automated Hb cut-off of 10.8 g/dL [AUC 0.82 (0.77-0.88)] had a specificity of 0.817 and a sensitivity 0.711 while with the HemoCue 301 cut-off of 11.1 g/dL [AUC 0.71 (0.62-0.79)] had a specificity of 0.697 and a sensitivity 0.688. The performance of the automated Hb cut-off was significantly better than the HemoCue (p<0.001). Caution must be taken when using POC devices, especially with values around the threshold. Cut-off values found in our study could be used as surrogate means when no confirmatory tests are available. Clinical outcomes should be prioritized when diagnosing iron deficiency anemia in women of reproductive age to ensure proper diagnosis.

“One size doesn't fit all”. Bank switching decisions and customer vulnerability in Europe

PurposeThis paper examines the relationships between bank switching and both customer vulnerability and consumer-oriented policies (financial education and disclosure practices).Design/methodology/approachThe analysis employs microdata from the Special Eurobarometer on Financial Products and Services, for 24 European nations. It carries out a probit estimation on the factors explaining propensity of bank switching, focusing on three characteristics associated with customer vulnerability: an advanced age, low educational attainment and residence in a rural or a relatively poor region.FindingsThe authors report that the probability of bank switching is significantly lower for three groups of vulnerable customers: the elderly, the less educated and those living in deprived regions. Further the authors identify that national financial education policies and disclosure practices have no significant effects on bank switching.Research limitations/implicationsBased on these results, the authors propose more targeted policies recognising customers' heterogeneity are required to increase bank switching behaviour.Originality/valueThis paper exploits a unique source of information on bank switching behaviour and customer characteristics across European nations. These data are complemented with information about consumer financial education policies and disclosure practices from the World Bank and geographical, market and regulatory factors at the regional and national levels. The paper contributes to two academic areas. First, it presents further evidence on heterogeneity of bank customer switching behaviour, addressed at improving the understanding of customer vulnerability in banking services. Second, it examines the efficacy of consumer-oriented policies (financial literacy and disclosure practices) in encouraging bank switching.

Reflecting on parental insights into healthy lifestyles: a qualitative study

BackgroundChildren living in the most deprived regions are more than twice as likely as their affluent peers to be obese. One way we can explain the social gradient of health (determined by relative position on the scale of social disadvantage or advantage) is by identifying the barriers and drivers to health that different groups of people experience. This study explored the understanding and perceptions of (and barriers and drivers to) a healthy lifestyle to investigate how commissioned services can better support residents to enable behaviour change in an area of high social deprivation. This community engagement activity was also conducted to inform commissioning decisions in children's public health services. MethodsWe used a qualitative study design with a semi-structured interview schedule. Four focus groups (5–8 participants, n=26) were conducted in an area of high deprivation in northwest England. Parents or carers were invited to attend anonymously by the Public Health Community Engagement Officer (in June 2022). The inclusion criteria were previous attendance on a weight management programme. Data were analysed using thematic analysis. Engagement activities do not require ethics approval. All participants provided written informed consent to take part. No further information was collected about personal characteristics. FindingsThe study participants demonstrated an awareness and understanding of factors affecting child and family health and health behaviours: healthy eating, exercise, mental health and emotional wellbeing, family values and attitudes towards a healthy lifestyle, cooking and budgeting, wider social connections, access to open spaces, availability of local activities, costs (including hidden costs), and structural barriers. InterpretationUsing the finding that participants recognise barriers and drivers to behaviour change beyond knowledge and skills, we reflect on why there was no take up for a commissioned intervention that aimed to address childhood obesity in the Lancashire area. These reflections inform arguments for an alternative model of service commission that relies less on established randomised trial evidence base and more on participatory codesign and a place-based approach (working with populations' existing knowledge and skills) and is particularly sensitive to people's own perception of the specific drivers and barriers they experience to behaviour change. Limitations include sampling from an area with low diversity and selection of participants who have previously agreed to uptake a weight management intervention. FundingNone.

Predicting Capacity and Distribution of Healthcare Facilities in West Java

Inequitable distribution of healthcare infrastructure is a barrier to universal access. This research analyzes gaps in primary care facilities across 627 districts in Indonesia's West Java Province. A data-driven approach identifies shortages and proposes an evidence-based strategic construction plan to improve equity. Demand was forecast using national standards of 1 clinics per 30,000 population. While some areas meet or exceed standards, severe shortages affect many districts. Gap analysis quantified deficiencies by subtracting existing clinics from projected demand for each district using simple linear extrapolation for each kota and kabupaten. Quantifying gaps at district level highlighted disparities not evident in provincial summaries. The gap analysis methodology substantiated widespread inequities by comparing granular demand modeling to current infrastructure. Findings demonstrate analytical techniques incorporating sub-regional data can identify hidden disparities and inform targeted policy. The technique provides a data-driven approach to inform healthcare planning and resource allocation, with applications for regional systems globally. In 2020, Average demand was 2 puskesmas, ranging up to 15. In total 363 districts fell below the minimum national standard for clinics per capita. Mapping visualized clusters of highly deprived regions. In 2020, with West Java's 47 million residents, total modeled demand is 1771 puskesmas and up to 1959 in 2032. Current healthcare quantity was collected through web scraping district websites, finding only 1016 existing puskesmas. This reveals a significant shortage, with over 55% of districts below the standard. Distribution inequity was evident, with puskesmas density spanning 0-10 across District. These findings clearly demonstrate a need for expanded investment in primary care infrastructure. To achieve more equitable access, a multi-year strategic construction plan was proposed targeting new clinic development in underserved districts. The plan stratified districts into priority tiers based on the severity of shortages. Construction will be phased over 3 stages, focusing first on districts with the highest deprivation to rapidly improve equity.

Exploring health service utilization among elderly populations in Hungary: A comparison of rural and urban settings in the context of Unhealthy Ageing

Abstract Background The demographic transition presents a significant challenge for health systems due to increasing healthcare needs of ageing population, particularly in Central and Eastern European (CEE) countries. In first step, we aimed to describe the health status and use of health services among elderly living in the most deprived region in Hungary, and to compare the use of health services (including preventive and healthcare services) among older adults living in urban and rural areas. Methods A complex health survey was carried out on randomly selected sample of individuals aged 65 years and older (n = 443) in Northeast Hungary in 2022. Demographic, socioeconomic characteristics and use of health services were analysed by type of residence. Results Generally, 15.3% of elderlies rated their health as poor/very poor (14.9% in rural and 15.7% in urban areas), and 57.8% (63.5% and 52.6%) reported limitation in daily activities. Elderlies living in rural area in comparison with that living in urban area reported lower frequency of visiting a dentist (21% vs. 32.9%; p = 0.006), and specialists (53.4% vs. 63.8%; p = 0.028), having fecal occult blood testing (8.8% vs. 21.7%; p &amp;lt; 0.001), colorectal cancer screening (12.1% vs. 20.9%; p = 0.014), and mammography (16% vs. 26.6%; p = 0.035), and reported higher frequency of blood pressure measurement (90.9% vs. 84.4%; p = 0.042). After adjustment for demographic, socioeconomic and health related factors, urban residence showed positive association with having fecal occult blood testing (OR = 2.72, 95% CI: 1.42-5.22), and negative association with blood pressure (OR = 0.44, 95% CI: 0.23-0.86) and blood glucose measurements (OR = 0.55, 95% CI: 0.33-0.92). Conclusions Our findings suggest the impact of residence on health (especially preventive) service utilization among older adults in Hungary. Further comprehensive studies are needed to describe the health needs of older people to implement policies to promote healthy ageing in CEE countries.

Comparative analysis of health status and health service utilization patterns among rural and urban elderly populations in Hungary: a study on the challenges of unhealthy aging

The demographic transition poses a significant challenge for health systems, especially in Central and Eastern European (CEE) countries, where the healthcare needs of aging populations are on the rise. This study aimed to describe and compare the health status and utilization of health services among the elderly residing in urban and rural areas of the most deprived region in Hungary. A comprehensive health survey was conducted in 2022, involving a randomly selected sample of 443 older adults (≥ 65 years) in Northeast Hungary. Multivariable logistic regression models adjusting for age, sex, education, financial status, chronic diseases, and activity limitations were used to investigate the association between type of residence and health service use. Among the study participants, 62.3% were female, 38.3% attained primary education, 12.5% reported a bad or very bad financial situation and 52.6% lived in urban areas. Overall, 24% of the elderly rated their health as very good or good (27.8% in urban and 19.7% in rural areas), while 57.8% (52.6% and 63.5% in urban and rural areas) reported limitations in daily activities. Compared to urban residents, rural residents reported lower rates of dentist visits (p = 0.006), specialist visits (p = 0.028), faecal occult blood testing (p < 0.001), colorectal cancer screening with colonoscopy (p = 0.014), and breast cancer screening (p = 0.035), and a higher rate of blood pressure measurement (p = 0.042). Multivariable models indicated that urban residence was positively associated with faecal occult blood testing (OR = 2.32, p = 0.014), but negatively associated with blood pressure (OR = 0.42, p = 0.017) and blood glucose measurements (OR = 0.48, p = 0.009). These findings highlight the influence of residence on health service utilization among older adults in Hungary. Further comprehensive studies are needed to better understand the health needs of the elderly population and to develop policies aimed at promoting healthy aging in CEE countries.

A Bayesian nonparametric approach to correct for underreporting in count data.

We propose a nonparametric compound Poisson model for underreported count data that introduces a latent clustering structure for the reporting probabilities. The latter are estimated with the model's parameters based on experts' opinion and exploiting a proxy for the reporting process. The proposed model is used to estimate the prevalence of chronic kidney disease in Apulia, Italy, based on a unique statistical database covering information on m = 258 municipalities obtained by integrating multisource register information. Accurate prevalence estimates are needed for monitoring, surveillance, and management purposes; yet, counts are deemed to be considerably underreported, especially in some areas of Apulia, one of the most deprived and heterogeneous regions in Italy. Our results agree with previous findings and highlight interesting geographical patterns of the disease. We compare our model to existing approaches in the literature using simulated as well as real data on early neonatal mortality risk in Brazil, described in previous research: the proposed approach proves to be accurate and particularly suitable when partial information about data quality is available.

Association between socioeconomic deprivation and presentation with a ruptured abdominal aortic aneurysm

ObjectiveGiven the ongoing nature of research in the social determinants space and urges to improve United States Preventive Services Task Force screening efforts for abdominal aortic aneurysms (AAAs), this project aims to characterize the association between the level of socioeconomic deprivation, rurality, and ruptured AAA (rAAA) presentation across the United States. MethodsWe queried the Vascular Quality Initiative registry (2010-2019) for patients with AAAs. The area deprivation index (ADI) is an index from 1 to 100 used to capture socioeconomic status. ADI was grouped into quintiles, with the most deprived regions being quintile 5 and having the highest ADI index. Multivariable logistic regression assessed the association between ADI, rurality, and rAAA presentation overall and before age 65. ResultsOf the 82,909 patients included, 11,458 patients (14%) resided in the most socioeconomically deprived regions, and 18,083 patients (22%) lived in rural regions. Overall, 6831 patients (8.2%) experienced an rAAA, with 4696 patients (69%) residing in the three most deprived quintiles. Most patients underwent endovascular repair (n = 67,933; 82%), followed by open repair (n = 14,976; 18%). On multivariable analysis, residence in the most socioeconomically deprived region was associated with a near 1.5-fold increased odds of presenting with an rAAA compared with a residence in the least deprived regions (odds ratio [OR], 1.46; 95% confidence interval [CI], 1.31-1.63; P < .001), whereas urban residence was associated with a decreased odds to present with an rAAA compared with rural residence (OR, 0.84; 95% CI, 0.79-0.89; P < .001). When stratifying the study population by the United States Preventive Services Task Force recommended age for AAA screening (65 years old), 14,147 patients (17%) were under 65. Of those under 65, 1381 patients (9.8%) experienced a rAAA, and 9955 patients (71%) resided in the three most deprived quintiles. Residence in the most socioeconomically deprived region was associated with an increased odds of presenting with an rAAA compared with residence in the least deprived region (OR, 1.31; 95% CI, 1.01-1.69; P = .042). However, there were no significant associations between rural residence and increased rAAA presentation among individuals under 65 (OR, 1.07; 95% CI, 0.93-1.23; P = .36). ConclusionsAmong all patients in this study, patients residing in highly socioeconomically deprived or rural regions were more likely to present with an rAAA, but among those under 65, only residence in a socioeconomically deprived area was associated with increased odds of rAAA presentation. Understanding the effects of socioeconomic deprivation on rAAA presentation can identify at-risk populations for early AAA screening before rupture.

Racial/Ethnic Disparities in Prostate Cancer 5-Year Survival: The Role of Health-Care Access and Disease Severity.

Prostate cancer (PCa) exhibits one of the widest racial and socioeconomic disparities. PCa disparities have also been widely linked to location, as living in more deprived regions was associated with lower healthcare access and worse outcomes. This study aims to examine PCa survival across various USA counties in function of different socioeconomic profiles and discuss the role of potential intermediary factors. The SEER database linked to county-level SES was utilized. Five-year PCa-specific survival using the Kaplan-Meier method was performed for five racial/ethnic categories in function of SES quintiles. Multilevel Cox proportional hazards regression was performed to assess the relationship between county-level SES and PCa survival. Multivariate regression analysis was performed to examine the role of healthcare utilization and severity. A total of 239,613 PCa records were extracted, and 5-year PCa-specific survival was 94%. Overall, living in counties in the worst poverty/income quintile and the worst high-school level education increased PCa mortality by 38% and 33%, respectively, while the best bachelor's-level education rates decreased mortality risk by 23%. Associations varied considerably upon racial/ethnic stratification. Multilevel analyses showed varying contributions of individual and area-level factors to survival within minorities. The relationship between SES and PCa survival appeared to be influenced by healthcare utilization and disease stage/grade. Racial/ethnic categories responded differently under similar county-level SES and individual-level factors to the point where disparities reversed in Hispanic populations. The inclusion of healthcare utilization and severity factors may provide partial early support for their role as intermediaries. Healthcare access (insurance) might not necessarily be associated with better PCa survival through the performance of biopsy and or/surgery. County-level education plays an important role in PCa decision making as it might elucidate discussions of other non-invasive management options. The findings of this study demonstrate that interventions need to be tailored according to each group's needs. This potentially informs the focus of public health efforts in terms of planning and prioritization. This study could also direct further research delving into pathways between area-level characteristics with PCa survival.

Trends in cancer incidence by socioeconomic deprivation in Germany in 2007 to 2018: An ecological registry-based study.

Age-standardized cancer incidence has decreased over the last years for many cancer sites in developed countries. Whether these trends led to narrowing or widening socioeconomic inequalities in cancer incidence is unknown. Using cancer registry data covering 48 million inhabitants in Germany, the ecological association between age-standardized total and site specific (colorectal, lung, prostate and breast) cancer incidence in 2007 to 2018 and a deprivation index on district level (aggregated to quintiles) was investigated. Incidence in the most and least deprived districts were compared using Poisson models. Average annual percentage changes (AAPCs) and differences in AAPCs between deprivation quintiles were assessed using Joinpoint regression analyses. Age-standardized incidence decreased strongly between 2007 and 2018 for total cancer and all cancer sites (except female lung cancer), irrespective of the level of deprivation. However, differences in the magnitude of trends across deprivation quintiles resulted in increasing inequalities over time for total cancer, colorectal and lung cancer. For total cancer, the incidence rate ratio between the most and least deprived quintile increased from 1.07 (95% confidence interval: 1.01-1.12) to 1.23 (1.12-1.32) in men and from 1.07 (1.01-1.13) to 1.20 (1.14-1.26) in women. Largest inequalities were observed for lung cancer with 82% (men) and 88% (women) higher incidence in the most vs the least deprived regions in 2018. The observed increase in inequalities in cancer incidence is in alignment with trends in inequalities in risk factor prevalence and partly utilization of screening. Intervention programs targeted at socioeconomically deprived and urban regions are highly needed.

Estimating disease burden using national linked electronic health records: a study using an English population-based cohort.

Background: Electronic health records (EHRs) have the potential to be used to produce detailed disease burden estimates. In this study we created disease estimates using national EHR for three high burden conditions, compared estimates between linked and unlinked datasets and produced stratified estimates by age, sex, ethnicity, socio-economic deprivation and geographical region. Methods: EHRs containing primary care (Clinical Practice Research Datalink), secondary care (Hospital Episode Statistics) and mortality records (Office for National Statistics) were used. We used existing disease phenotyping algorithms to identify cases of cancer (breast, lung, colorectal and prostate), type 1 and 2 diabetes, and lower back pain. We calculated age-standardised incidence of first cancer, point prevalence for diabetes, and primary care consultation prevalence for low back pain. Results: 7.2 million people contributing 45.3 million person-years of active follow-up between 2000-2014 were included. CPRD-HES combined and CPRD-HES-ONS combined lung and bowel cancer incidence estimates by sex were similar to cancer registry estimates. Linked CPRD-HES estimates for combined Type 1 and Type 2 diabetes were consistently higher than those of CPRD alone, with the difference steadily increasing over time from 0.26% (2.99% for CPRD-HES vs. 2.73 for CPRD) in 2002 to 0.58% (6.17% vs. 5.59) in 2013. Low back pain prevalence was highest in the most deprived quintile and when compared to the least deprived quintile the difference in prevalence increased over time between 2000 and 2013, with the largest difference of 27% (558.70 per 10,000 people vs 438.20) in 2013. Conclusions: We use national EHRs to produce estimates of burden of disease to produce detailed estimates by deprivation, ethnicity and geographical region. National EHRs have the potential to improve disease burden estimates at a local and global level and may serve as more automated, timely and precise inputs for policy making and global burden of disease estimation.

Development of a High-Capacity Portable Biomass-Combustion-Powered Thermoelectric Generator

• Decades’ worth of studies are reviewed to identify existing issues and future opportunities. • A high capacity portable biomass combustion powered (BCP) TEG is developed. • Combined heat (750 W) and power (23.4 W) are cogenerated with 7.6 kg of BCP-TEG. • The CHP and thermoelectric efficiencies are 32.3% and 2.87% respectively. • A 3.7 V battery of 6.2 Ah can be fully charged by burning 1 kg of wood sticks. Generating electricity from biomass combustion is an essential means of supporting basic demands in deprived regions, including lighting, communication, and medical care. In this work, a high-capacity portable biomass-combustion-powered thermoelectric generator (BCP-TEG) is developed and tested. Temperature distribution, power load feature, efficiencies at different levels, and a field test are comprehensively explored. The results show that the proposed 7.6 kg BCP-TEG can cogenerate a heating power of 750 W and an electric power of 23.4 W, corresponding to a combined heat and power (CHP) efficiency of 32.3%. The net power density of 2.41 W·kg −1 is much greater than those in previous reports based on water closed-loop cooling. Furthermore, this study demonstrates that a 3.7 V battery of 6.2 A·h can be fully charged by burning 1 kg of wood sticks. Finally, we provide a comprehensive discussion identifying existing issues and future opportunities in this field.

A profile of patients' and doctors' perceptions, acceptance, and utilization of e-health in a deprived region in southwestern China.

E-health has the potential to promote health accessibility, performance and cost-saving. However, the adoption and penetration of e-health in underprivileged areas remains insufficient. We aim to investigate patients' and doctors' perception, acceptance, and utilization of e-health in a rural, spatially isolated and poverty-stricken county in southwestern China. A retrospective analysis based on a cross-sectional survey of patients and doctors in 2016 was conducted. Participants were recruited through convenience and purposive sampling, and questionnaires were self-designed and validated by investigators. The utilization, intention to use and preference of four e-health services were evaluated, including e-appointment, e-consultation, online drug purchase, and telemedicine. Predictors of utilization and intention to use e-health services were investigated by multivariable logistic regression. A total of 485 patients were included. The utilization rate of any type of e-health services was 29.9%, ranging from 6% in telemedicine to 18% in e-consultation. Additionally, 13.9%-30.3% of respondents as non-users revealed their willingness to use such services. Users and potential users of e-health services were inclined to specialized care from county, city or province hospitals, and they were most concerned with the quality, ease of use and price of e-health service. Patients' utilization and intention to use e-health could be associated with education and income level, cohabitants, working location, previous medical utilization, and access to digital device and internet. There remained 53.9%-78.3% of respondents reluctant to use e-health services, mainly due to perceived inability to use them. Of 212 doctors, 58% and 28% had provided online consultation and telemedicine before, and over 80% of county-hospital doctors (including actual providers) indicated their willingness to provide such services. Reliability, quality and ease of use were doctors' major concerns regarding e-health. Doctors' actual provision of e-health was predicted by their professional title, number of years in work, satisfaction with the wage incentive system, and self-rated health. Nevertheless, their willingness to adopt was only associated with the possession of smartphone. E-health is still in its infancy in western and rural China, where health resources are most scarce, and where e-health could prove most beneficial. Our study reveals the wide gaps between patients' low usage and their certain willingness to use e-health, as well as gaps between patients' moderate attention to use and physician's high preparedness to adopt e-health. Patients' and doctors' perceptions, needs, expectations, and concerns should be recognized and considered to promote the development of e-health in these underprivileged regions.

P098 Changes in Analgesic Prescribing in Patients with Inflammatory Arthritis in England: An Observational Study in CPRD Aurum

Abstract Background/Aims Pain is a common symptom experienced by patients with inflammatory arthritis (IA). Emerging data indicate IA pain treatment focuses on prescribing analgesics despite an absence of evidence for long-term efficacy. Delivering optimal, equitable IA pain care in England requires understanding current practice. To address this, we evaluated analgesic prescribing in patients diagnosed with rheumatoid arthritis (RA), psoriatic arthritis (PsA), and axial spondyloarthritis (SpA) contributing data to the Clinical Practice Research Datalink Aurum, a primary care electronic health record database covering 20% of England. Methods Cross-sectional analyses (2004-2020) evaluated the annual prevalence of analgesic prescriptions in patients with RA/PsA/axial SpA. These were reported stratified by age, gender, ethnicity, deprivation, and geographical region. Analgesic prescriptions were classified using Bedson et al’s hierarchical system with an additional gabapentinoid group. Joinpoint regression models evaluated time-points when a significant change in the trends of prescription annual prevalence occurred. Results Although declining over time, the annual prevalence of analgesic prescriptions remained high (84.2% [95% CI 83.9, 84.5] in 2004; 64.5% [95% CI 64.2, 64.8] in 2020). In 2004, oral NSAIDs were the commonest analgesic (prevalence 56.1% [95% CI 55.8, 56.5]). By 2020, this fell to 22.3% (95% CI 22.1, 22.6) with opioids being the commonest analgesic (prevalence 39.0% [95% CI 38.7, 39.2]). Most opioid prescriptions were “strong/very strong” and long-term. Annual prevalence of non-NSAID analgesic prescriptions was highest in RA and of NSAIDs was highest in axial SpA. The annual prevalence of all analgesic types except NSAIDs differed by age, sex, deprivation, ethnicity, and region. Annual prevalence of non-NSAID analgesic prescriptions increased with age and deprivation, were higher in females than males, and higher in Northern than Southern England. The opposite pattern was seen with age for oral NSAIDs. NSAIDs were more commonly prescribed in males than females. Very little difference was seen in NSAID prescribing by deprivation, ethnicity, and region. There was a significant change in the trend of opioid prescription annual prevalence in 2015 (year of Public Health England’s “Opioid Aware” release) when the rate of decline increased, and at 2013 and 2018 for gabapentinoids when the annual prevalence increase slowed then declined (years of NHS England’s release of information on gabapentinoid risks, and their reclassification as controlled substances). Conclusion Whilst overall national analgesic prescribing in IA has fallen over 17 years - with interventions to deliver safer opioid/gabapentinoid prescribing potentially contributing - it remains common. This is at variance with evidence of analgesic efficacy and risks. The differences in prescribing of some analgesic types by patient sociodemographic factors and regions suggest unwarranted variation. Interventions are needed to improve the delivery of effective, equitable IA pain treatment. Disclosure I.C. Scott: None. R. Whittle: None. J. Bailey: None. H. Twohig: None. S.L. Hider: None. C.D. Mallen: None. S. Muller: None. K.P. Jordan: None.