Associations of area deprivation and urban/rural traits with the incidence of type 1 diabetes: analysis at the municipality level in North Rhine-Westphalia, Germany

Disparities in Continuous Glucose Monitor Use Between Children With Type 1 Diabetes Living in Urban and Rural Areas

OBJECTIVE

Despite evidence that continuous glucose monitoring (CGM) use is associated with lower HbA1c among children with type 1 diabetes, uptake of this technology remains lower among those with difficulty accessing health care, including those from lower socioeconomic status backgrounds and racial and ethnic minorities. In this study, we sought to explore the impact of rural location in use of CGM technology to guide patient and provider decision making.

RESEARCH DESIGN AND METHODS

In this retrospective study of electronic health record demographic and visits data from a single diabetes program from 1 January 2018 through 31 December 2021, we compared the odds of completing a visit with (+) and without (-) CGM interpretation between rural-urban commuting area (RUCA) designations.

RESULTS

Among the 13,645 visits completed by 2,008 patients with type 1 diabetes younger than age 18 years, we found children living in small rural towns had 31% lower odds (6.3% of CGM+ visits, 8.6% of CGM- visits; adjusted odds ratio [aOR] 0.69, 95% CI 0.51-0.94) and those living in isolated rural towns had 49% lower odds (2.0% of CGM+ visits, 3.4% of CGM- visits; aOR 0.51, 95% CI 0.28-0.92) of completing a CGM-billed clinic visit compared with those living in urban areas (70.0% of CGM+ visits, 67.2% of CGM- visits). We also found significant differences in CGM-billed visits by neighborhood deprivation as well as race/ethnicity and insurance payor.

CONCLUSIONS

Geographic location presents a meaningful barrier to access to care for patients living with type 1 diabetes. Further work is needed to identify and address the needs of children and families living in rural areas to improve the care of these patients.

Impact of socioeconomic status on chronic control and complications of type 1 diabetes mellitus in users of glucose flash systems: a follow-up study

BACKGROUND

This study investigates the association between socioeconomic status (SES) and glycemic control in individuals with type 1 diabetes (T1D) using flash glucose monitoring (FGM) devices within a public health system where these technologies are freely available and utilized according to recommended guidelines.

METHODS

A follow-up study of 1060 adults (mean age 47.4 ± 15.0 years, 49.0% women) with T1D, receiving care at three Spanish university hospitals that regularly employ the FGM system. SES was assessed using the Spanish Deprivation Index and the average annual net income per person. Glycemic data were collected over a 14-day follow-up period, including baseline glycated hemoglobin (HbA1c) levels prior to sensor placement, the last available HbA1c levels, and FGM-derived glucose metrics. Individuals with sensor usage time < 70% were excluded. Chronic micro and macrovascular complications related to diabetes were documented. Regression models, adjusted for clinical variables, were employed to determine the impact of SES on optimal sensor control (defined as time in range (TIR) ≥ 70% with time below range < 4%) and disease complications.

RESULTS

The average follow-up was of 2 years. The mean TIR and the percentage of individuals with optimal control were higher in individuals in the highest SES quartile (64.9% ± 17.8% and 27.9%, respectively) compared to those in the lowest SES quartile (57.8 ± 17.4% and 12.1%) (p < 0.001). Regression models showed a higher risk of suboptimal control (OR 2.27, p < 0.001) and ischemic heart disease and/or stroke (OR 3.59, p = 0.005) in the lowest SES quartile. No association was observed between SES and the risk of diabetic nephropathy and retinopathy. FGM system improved HbA1c levels across all SES quartiles. Although individuals in the highest SES quartile still achieved a significantly lower value at the end of the follow-up 55 mmol/mol (7.2%) compared to those in the lowest SES quartile 60 mmol/mol (7.6%) (p < 0.001), the significant disparities in this parameter between the various SES groups were significantly reduced after FGM technology use.

CONCLUSIONS

Socioeconomic status plays a significant role in glycemic control and complications in individuals with T1D, extending beyond access to technology and its proper utilization. The free utilization of FGM technology helps alleviate the impact of social inequalities on glycemic control.

Is COVID-19 to Blame? Trends of Incidence and Sex Ratio in Youth-Onset Type 2 Diabetes in Germany

OBJECTIVE

We investigated the incidence of pediatric type 2 diabetes (T2D) in Germany during 2 years of the coronavirus disease 2019 (COVID-19) pandemic (2020-2021) compared with the control period 2011-2019.

RESEARCH DESIGN AND METHODS

Data on T2D in children (aged 6 to <18 years) were obtained from the DPV (German Diabetes Prospective Follow-up) Registry. Poisson regression was used to estimate incidences for 2020 and 2021 based on data from 2011 to 2019, and these were compared with observed incidences in 2020 and 2021 by estimating incidence rate ratios (IRRs) with 95% CIs.

RESULTS

Incidence of youth-onset T2D increased from 0.75 per 100,000 patient-years (PYs) in 2011 (95% CI 0.58, 0.93) to 1.25 per 100,000 PYs in 2019 (95% CI 1.02, 1.48), an annual increase of 6.8% (95% CI 4.1, 9.6). In 2020, T2D incidence increased to 1.49 per 100,000 PYs (95% CI 1.23, 1.81), which was not significantly higher than predicted (IRR 1.15; 95% CI 0.90, 1.48). In 2021, the observed incidence was significantly higher than expected (1.95; 95% CI 1.65, 2.31 vs. 1.38; 95% CI 1.13, 1.69 per 100,000 PYs; IRR 1.41; 95% CI 1.12, 1.77). Although there was no significant increase in incidence in girls in 2021, the observed incidence in boys (2.16; 95% CI 1.73, 2.70 per 100,000 PYs) significantly exceeded the predicted rate (IRR 1.55; 95% CI 1.14, 2.12), leading to a reversal of the sex ratio of pediatric T2D incidence.

CONCLUSIONS

In Germany, incidence of pediatric T2D increased significantly in 2021. Adolescent boys were more affected by this increase, resulting in a reversal of the sex ratio of youth-onset T2D.

Predicting the development of T1D and identifying its Key Performance Indicators in children; a case-control study in Saudi Arabia

The increasing incidence of type 1 diabetes (T1D) in children is a growing global concern. It is known that genetic and environmental factors contribute to childhood T1D. An optimal model to predict the development of T1D in children using Key Performance Indicators (KPIs) would aid medical practitioners in developing intervention plans. This paper for the first time has built a model to predict the risk of developing T1D and identify its significant KPIs in children aged (0-14) in Saudi Arabia. Machine learning methods, namely Logistic Regression, Random Forest, Support Vector Machine, Naive Bayes, and Artificial Neural Network have been utilised and compared for their relative performance. Analyses were performed in a population-based case-control study from three Saudi Arabian regions. The dataset (n = 1,142) contained demographic and socioeconomic status, genetic and disease history, nutrition history, obstetric history, and maternal characteristics. The comparison between case and control groups showed that most children (cases = 68% and controls = 88%) are from urban areas, 69% (cases) and 66% (control) were delivered after a full-term pregnancy and 31% of cases group were delivered by caesarean, which was higher than the controls (χ2 = 4.12, P-value = 0.042). Models were built using all available environmental and family history factors. The efficacy of models was evaluated using Area Under the Curve, Sensitivity, F Score and Precision. Full logistic regression outperformed other models with Accuracy = 0.77, Sensitivity, F Score and Precision of 0.70, and AUC = 0.83. The most significant KPIs were early exposure to cow's milk (OR = 2.92, P = 0.000), birth weight >4 Kg (OR = 3.11, P = 0.007), residency(rural) (OR = 3.74, P = 0.000), family history (first and second degree), and maternal age >25 years. The results presented here can assist healthcare providers in collecting and monitoring influential KPIs and developing intervention strategies to reduce the childhood T1D incidence rate in Saudi Arabia.

[Inflammatory Bowel Diseases: Regional Deprivation, Disease Characteristics and Relevant Health Care]

HINTERGRUND

Regionale Deprivation ist als ökologischer Parameter eine Komponente der sozialen Determinanten von Gesundheit. Zu ihrer Messung stehen in Deutschland der "German Index of Multiple Deprivation" (GIMD) und der "German Index of Socioeconomic Deprivation" (GISD) zur Verfügung. Chronisch entzündliche Darmerkrankungen (CED) sind keine häufigen, aber ernste körperliche Erkrankungen unklarer Ätiologie, mit vergleichsweise frühem Auftreten im Erwachsenenalter, oft chronisch-behandlungsbedürftigem Verlauf und unsicherer Prognose. Daten einer kontrollierten Versorgungsstudie erlauben es, Assoziationen zwischen regio-naler Deprivation und Merkmalen der Krankheit und ihrer Versorgung zu untersuchen. Wir erwarteten ungünstigere Krankheitsverhältnisse bei höherer Deprivation.

METHODIK

Vorgestellt werden deskriptive Zusatzauswertungen (n=530) der 2016 bis 2019 durchgeführten MERCED-Studie zu Wirksamkeit und Nutzen einer stationären medizinischen Rehabilitation bei Sozialversicherten mit einer CED. Analysiert wurden Daten aus der Basisbefragung zu selbstberichteten Krankheitsmerkmalen, Krankheitsfolgen und Versorgungsleistungen in ihrem Zusammenhang mit dem Ausmaß regionaler Deprivation der Wohnregion (Kreisebene).

ERGEBNISSE

Die Zuordnung der Wohnregion der Kranken zu den Quintilen von GIMD und GISD korrelieren unter rho=0,76 miteinander (gewichtetes kappa=0,74). Regionale Deprivation zeigt, gemessen mit dem GIMD, überzufällige Unterschiede allein in den sozialen Teilhabeeinschränkungen (IMET) und der Zahl der "Einschränkungstage". Dabei schildern sich Personen aus dem niedrigsten Deprivationsquintil als am stärksten eingeschränkt. Für die Einschränkungstage findet sich ein irre-guläres Muster. Beim GISD wird eine unsystematische Variation der gesundheitsbezogenen Lebensqualität (EQ-VAS) statistisch auffällig. Auch hier berichten Personen mit der geringsten regionalen Deprivation von einer besonders schlechten Lebensqualität. In einem Extremgruppenvergleich weisen Personen, die in nach GIMD und GISD stark deprivierten Regionen leben, günstigere Werte im Krankheitsverlauf beim IMET und EQ-VAS auf. Auch für Parameter der medizinischen Versorgung lassen sich keine systematischen Zusammenhänge mit den Deprivationsindizes darstellen.

SCHLUSSFOLGERUNG

Krankheitsmerkmale, Krankheitsfolgen und die medizinische Versorgung von CED-Kranken zeigen sich weitgehend unabhängig vom Ausmaß der mit zwei Indizes bestimmten regionalen Deprivation. Die wenigen auffälligen Unterschiede weisen in eine überraschende Richtung: Personen aus deprivierten Regionen berichten günstigere Krankheitsverhältnisse.

BACKGROUND

As an ecological parameter, area deprivation is one component of the social determinants of health. For Germany two indices to measure area deprivation are currently available: The German Index of Multiple Deprivation (GIMD) and the German Index of Socioeconomic Deprivation (GISD). Inflammatory bowel diseases (IBD) are not frequent but severe diseases of so far unknown etiology, comparatively early manifestation in adulthood, often chronic course requiring long-lasting medical attention, and uncertain prognosis. Data of a controlled health care trial enable us to study associations between area deprivation and disease and treatment variables. We expected more unfavourable conditions with increasing level of deprivation.

METHODS

We present secondary descriptive analyses of an RCT on effectiveness and benefit of medical inpatient rehab of 530 socially insured IBD patients. We used data from the initial assessment of numerous self-reported disease characteristics, consequences of disease, and health care items in relation to the extent of area deprivation at patients' county ("Kreis") level.

RESULTS

Grouped into quintiles, patients' results from GIMD and GISD are closely correlated (rho=0.76; weighted kappa=0.74). Regional deprivation, as assessed by GIMD, shows noticeable associations only with participation restriction (IMET scale) and number of disability days. However, subjects from least deprived areas report highest restrictions whereas the distribution of disability days exhibits an irregular pattern. GISD data are weakly and unsystematically related to quality of life measurements. Again, patients from least deprived areas show a considerably low quality of life. A comparison of two extreme groups (very low vs. very high deprivation in GIMD and GISD combined) corroborates the finding: Subjects from highly deprived areas report in general more favourable disease characteristics. We found no association between deprivation and any health care item.

CONCLUSION

Disease characteristics, psychosocial consequences, and health care of IBD seem to be mainly independent of the extent of area deprivation. The few statistically noticeable associations are unexpected: Patients from more deprived counties give more favourable reports.

Geographic heterogeneity of the epidemiological impact of the COVID-19 pandemic in Italy using a socioeconomic proxy-based classification of the national territory

Objectives

This study aimed to evaluate the differences in incidence, non-intensive care unit (non-ICU) and intensive care unit (ICU) hospital admissions, and COVID-19-related mortality between the "inner areas" of Italy and its metropolitan areas.

Study design

Retrospective population-based study conducted from the beginning of the pandemic in Italy (20 February 2020) to 31 March 2022.

Methods

The municipalities of Italy were classified into metropolitan areas, peri-urban/intermediate areas and "inner areas" (peripheral/ultra-peripheral). The exposure variable was residence in an "inner area" of Italy. Incidence of diagnosis of SARS-CoV-2 infection, non-ICU and ICU hospital admissions and death within 30 days from diagnosis were the outcomes of the study. COVID-19 vaccination access was also evaluated. Crude and age-standardized rates were calculated for all the study outcomes. The association between the type of area of residence and each outcome under study was evaluated by calculating the ratios between the standardized rates. All the analyses were stratified by period of observation (original Wuhan strain, Alpha variant, Delta variant, Omicron variant).

Results

Incidence and non-ICUs admissions rates were lower in "inner areas." ICU admission and mortality rates were much lower in "inner areas" in the early phases of the pandemic, but this protection progressively diminished, with a slight excess risk observed in the "inner areas" during the Omicron period. The greater vaccination coverage in metropolitan areas may explain this trend.

Conclusion

Prioritizing healthcare planning through the strengthening of the primary prevention policies in the peripheral areas of Italy is fundamental to guarantee health equity policies.

Socioeconomic deprivation and cardiometabolic risk factors in individuals with type 1 diabetes: T1D exchange clinic registry

AIMS

Social determinants of health (SDOH) influence cardiovascular health in the general population; however, the degree to which this occurs in individuals with type 1 diabetes (T1D) is not well understood. We evaluated associations among socioeconomic deprivation and cardiometabolic risk factors (hemoglobin A1c, low-density lipoprotein, blood pressure, body mass index, physical activity) in individuals with T1D from the T1D Clinic Exchange Registry.

METHODS

We evaluated the association between the social deprivation index (SDI) and cardiometabolic risk factors using multivariable and logistic regression among 18,754 participants ages 13 - 90 years (mean 29.2 ± 17) in the T1D Exchange clinic registry from 6,320 zip code tabulation areas (2007-2017).

RESULTS

SDI was associated with multiple cardiometabolic risk factors even after adjusting for covariates (age, biological sex, T1D duration, and race/ethnicity) in the multivariable linear regression models. Those in the highest socially deprived areas had 1.69 (unadjusted) and 1.78 (adjusted) times odds of a triple concomitant risk burden of poor glycemia, dyslipidemia, and hypertension.

CONCLUSIONS

Persistent SDOH differences could account for a substantial degree of poor achievement of cardiometabolic targets in individuals with T1D. Our results suggest the need for a broader framework to understand the association between T1D and adverse cardiometabolic outcomes.

Type 1 Diabetes Management and Health Care Experiences Across Rural Nebraska

INTRODUCTION

This study aimed to explore the unique health care needs of rural Nebraska families with a child with type 1 diabetes mellitus (T1DM).

METHOD

Using a phenomenological approach, the researchers conducted four focus groups across Nebraska. The focus groups gathered input from children, caregivers, and health care providers (n = 23). The researchers coded data and generated themes. Member checking, researcher triangulation, reflexivity, a thick description of the process, and an audit trail established trustworthiness.

RESULTS

Four themes emerged: dramatic family and lifestyle changes following diagnosis, lack of access to specialized care resulting in complications, isolation improved health management resourcefulness, and technology improved health management and flexibility.

DISCUSSION

Lifestyle changes persist after a child's diagnosis with T1DM. Rural families reported unpredictable health status of their child, reduced health care services, and limited information access. Conversely, limited specialty health care access, resources, and community support led to creative self-education, advocacy, and health care management strategies. Diabetes technology offered opportunities for improved provider-patient communication and continuous glucose monitoring.

The impact of race and socioeconomic factors on paediatric diabetes

There are over 29,000 children and young people (CYP) with Type 1 diabetes mellitus (T1DM) in England and Wales and another 726 with Type 2 diabetes mellitus (T2DM). There is little effect of deprivation on the prevalence of T1DM whereas the association of deprivation on the percentage of CYP with T2DM is striking with 45% of cases drawn from the most deprived backgrounds. A number that has not changed over the last 4 years. Data from the UK and USA as well as other countries demonstrate the impact of deprivation on outcomes in diabetes mellitus with clear effects on measures of long-term control and complications. In the UK black CYP had higher glycosylated haemoglobin (HbA1c) values compared to other groups. Within the black group, CYP from a Caribbean background had a higher mean HbA1c (77.0 mmol/mol (9.2%)) than those from Africa (70.4 mmol/mol (8.6%)). Treatment regimen (multiple daily injections or insulin pump therapy) explained the largest proportion of the variability in HbA1c followed by deprivation. Those in the least deprived areas had an average HbA1c 5.88 mmol/mol (0.5%) lower than those living in the most deprived areas. The picture is complex as UK data also show that deprivation and ethnicity is associated with less use of technology that is likely to improve diabetes control. Increased usage of pump therapy and continuous glucose monitoring was associated with a younger age of patient (less than 10 years of age), living in the least deprived areas and white ethnicity. This gap between pump usage amongst CYP with T1DM living in the most and least deprived areas has widened with time. In 2014/15 the gap was 7.9% and by 2018/19 had increased to 13.5%. To attain an equitable service for CYP with diabetes mellitus we need to consider interventions at the patient, health care professional, community, and health care system levels.

Evaluation der Implementierung eines zugelassenen Künstliche-Intelligenz-Systems zur Erkennung der diabetischen Retinopathie

Einleitung Ziel der Studie war die Evaluation der Genauigkeit einer auf einem Künstliche-Intelligenz-System (KI) basierenden Bewertung von Fundusfotografien im Vergleich zum Augenarzt in Bezug auf das diabetische Retinopathie-Screening in einer internistisch geführten Klinik. Zudem erfolgte die Erhebung der Gesamtuntersuchungsdauer wie auch der Patienten- und Untersucherzufriedenheit.

Methoden Im Rahmen der Studie erhielten 112 ambulante Patienten eine Fundusfotografie mit automatisierter Diagnose der diabetischen Retinopathie (DR) über das IDx-DR-System (Digital Diagnostics). Die Aufnahmen erfolgten mit der Kamera Topcon TRC-NW400 (Topcon Corp. Japan). Einschlusskriterium war die Diagnose eines Diabetes mellitus Typ 1, 2 oder 3. Bei Patienten, bei denen keine Aufnahme mit ausreichender Qualität in Miosis durchgeführt werden konnte, erfolgte die Aufnahme in Mydriasis.

Ergebnisse Von 112 Patienten konnte bei 107 Patienten (95,5 %) durch das Grading mittels IDx-DR, anhand der Fundusaufnahmen, eine Analyse durchgeführt werden – vs. bei 103 Patienten (91,9 %) durch das Grading derselben, hochauflösenden Fundusaufnahmen durch Augenärzte. Bei den verbleibenden Patienten war eine Beurteilung allein durch die Funduskopie in Mydriasis möglich. Es zeigte sich eine hochsignifikante Korrelation bezüglich der Einschätzung der Schwere der diabetischen Retinopathie zwischen Untersucher und dem IDx-DR-System (Correlation coefficient (r) = 0,8738; p < 0,0001). Die Patientenzufriedenheit lag bei 4,5 ± 0,6 [1–5], die Gesamtdauer der Untersuchung in Miosis lag im Mittel bei 3:04 ± 0:28 [min:sek].

Schlussfolgerung Das Retinopathiescreening mittels IDx-DR ermöglicht die automatisierte, zeitnahe und zuverlässige Beurteilung bzgl. des Vorliegens einer diabetischen Retinopathie mit einem robusten technischen und klinischen Arbeitsfluss, der mit einer hohen Patientenzufriedenheit einhergeht.