Socio-economic disparities in hospital care among Dutch patients with diabetes mellitus.

AIM: Socio-economic status (SES) influences diabetes onset, progression and treatment. In this study, the associations between SES and use of hospital care were assessed, focusing on hospitalizations, technology and cardiovascular complications. MATERIALS AND METHODS: This was an observational cohort study comprising 196 695 patients with diabetes (all types and ages) treated in 65 hospitals across the Netherlands from 2019 to 2020 using reimbursement data. Patients were stratified in low, middle, or high SES based on residential areas derived from four-digit zip codes. RESULTS: Children and adults with low SES were hospitalized more often than patients with middle or high SES (children: 22%, 19% and 15%, respectively; p < .001, adults: 28%, 25% and 23%; p < .001). Patients with low SES used the least technology: no technology in 48% of children with low SES versus 40% with middle SES and 38% with high SES. In children, continuous subcutaneous insulin infusion (CSII) and real-time continuous glucose monitoring (rtCGM) use was higher in high SES {CSII: odds ratio (OR) 1.54 [95% confidence interval (CI) 1.35-1.76]; p < .001; rtCGM OR 1.39 [95% CI 1.20-1.61]; p < .001} and middle SES [CSII: OR 1.41 (95% CI 1.24-1.62); p < .001; rtCGM: OR 1.27 (95% CI 1.09-1.47); p = .002] compared with low SES. Macrovascular (OR 0.78 (95% CI 0.75-0.80); p < .001) and microvascular complications [OR 0.95 (95% CI 0.93-0.98); p < .001] occurred less in high than in low SES. CONCLUSIONS: Socio-economic disparities were observed in patients with diabetes treated in Dutch hospitals, where basic health care is covered. Patients with low SES were hospitalized more often, used less technology, and adults with high SES showed fewer cardiovascular complications. These inequities warrant attention to guarantee equal outcomes for all.

Does size matter? Hospital volume and resource use in paediatric diabetes care.

AIMS: Paediatric diabetes care has become increasingly specialised due to the multidisciplinary approach and technological developments. Guidelines recommend sufficient experience of treatment teams. This study evaluates associations between hospital volume and resource use and hospital expenditure in Dutch children with diabetes. METHODS: Retrospective cohort study using hospital claims data of 5082 children treated across 44 Dutch hospitals (2019-2020). Hospitals were categorised into three categories; small (≥20-100 patients), medium (≥100-200 patients) and large (≥200 patients). All-cause hospitalisations, consultations, technology and hospital expenditure were analysed and adjusted for age, sex, socio-economic status (SES) and hospital of treatment. RESULTS: Fewer hospitalisations were observed in large hospitals compared to small hospitals (OR 0.48; [95% CI 0.32-0.72]; p < 0.001). Median number of yearly paediatrician visits was 7 in large and 6 in small hospitals, the significance of which was attenuated in multilevel analysis (OR ≥7 consultations: 1.89; [95%CI 0.74-4.83]; p = 0.18). Technology use varies between individual hospitals, whereas pump usage and real-time continuous glucose monitoring showed no significant differences between hospital volumes. Mean overall expenditure was highest in medium-sized centres with €6434 per patient (IQR €2555-7955); the difference in diabetes care costs was not significant between hospital patient volumes. CONCLUSIONS: Care provision patterns vary by hospital patient volume. Large hospitals had the lowest hospitalisation rates. The use of diabetes technology was not different between hospital patient volumes. Medium-sized hospitals showed the highest overall expenditure, but diabetes care costs were similar across hospital volumes.

Use of hospital care among Dutch diabetes patients.

AIM: To provide insight into healthcare resource utilization and hospital expenditure of patients treated for diabetes in Dutch hospitals. MATERIALS AND METHODS: We conducted an observational cohort study of 193 840 patients aged ≥18 years and treated for diabetes mellitus in 65 Dutch hospitals in 2019 to 2020, using real-world reimbursement data. Consultations, hospitalizations, technology use, total hospital and diabetes care costs (encompassing all care for diabetes itself) were assessed during 1-year follow-up. In addition, expenditure was compared with that in the general Dutch population. RESULTS: Total hospital costs for all patients with diabetes were €1 352 690 257 (1.35 billion) per year, and 15.9% (€214 963 703) was associated with treatment of diabetes. Mean yearly costs per patient were €6978, with diabetes care costs of €1109. Mean hospital costs of patients exceeded that of the Dutch population three- to sixfold. Total hospital costs increased with age, whereas diabetes expenditure decreased with age (18-40 years, €1575; >70 years, €932). Of all patients with diabetes, 51.3% (n = 99 457) received care related to cardiovascular complications. Micro- and macrovascular complications, or a combination, increased hospital costs (1.4-5.3 times higher). CONCLUSIONS: The hospital resource use of Dutch diabetes patients is high, with a large burden of cardiovascular complications. Resource use is rooted mainly in hospital care of diabetes-related complications, not in the treatment of diabetes. Early treatment and prevention of complications remain imperative to taper future healthcare expenditure on patients with diabetes.

Healthcare expenditure and technology use in pediatric diabetes care.

BACKGROUND: Diabetes mellitus is one of the most common chronic diseases in childhood. With more advanced care options including ever-evolving technology, allocation of resources becomes increasingly important to guarantee equal care for all. Therefore, we investigated healthcare resource utilization, hospital costs, and its determinants in Dutch children with diabetes. METHODS: We conducted a retrospective, observational analysis with hospital claims data of 5,474 children with diabetes mellitus treated in 64 hospitals across the Netherlands between 2019-2020. RESULTS: Total hospital costs were €33,002,652 per year, and most of these costs were diabetes-associated (€28,151,381; 85.3%). Mean annual diabetes costs were €5,143 per child, and treatment-related costs determined 61.8%. Diabetes technology significantly increased yearly diabetes costs compared to no technology: insulin pumps € 4,759 (28.7% of children), Real-Time Continuous Glucose Monitoring € 7,259 (2.1% of children), and the combination of these treatment modalities € 9,579 (27.3% of children). Technology use increased treatment costs significantly (5.9 - 15.3 times), but lower all-cause hospitalisation rates were observed. In all age groups, diabetes technology use influenced healthcare consumption, yet in adolescence usage decreased and consumption patterns changed. CONCLUSIONS: These findings suggest that contemporary hospital costs of children with diabetes of all ages are driven primarily by the treatment of diabetes, with technology use as an important additive factor. The expected rise in technology use in the near future underlines the importance of insight into resource use and cost-effectiveness studies to evaluate if improved outcomes balance out these short-term costs of modern technology.

Do sex differences in paediatric type 1 diabetes care exist? A systematic review.

AIMS/HYPOTHESIS: Sex differences are present in cardiovascular care and in outcomes among adults with type 1 diabetes mellitus, which typically commences in childhood. Whether sex influences care and outcomes in childhood is not known. This systematic review provides an overview of sex differences in children with type 1 diabetes, focusing on patient and disease characteristics, treatment, comorbidities and complications. METHODS: Literature in MEDLINE up to 15 June 2021 was searched, using the terms diabetes mellitus, sex characteristics, sex distribution, children and/or adolescents. All primary outcome studies on children with type 1 diabetes that mentioned a sex difference in outcome were included, with the exception of qualitative studies, case reports or case series. Studies not pertaining to the regular clinical care process and on incidence or prevalence only were excluded. Articles reporting sex differences were identified and assessed on quality and risk of bias using Joanna Briggs Institute critical appraisal tools. Narrative synthesis and an adapted Harvest plot were used to summarise evidence by category. RESULTS: A total of 8640 articles were identified, rendering 90 studies for review (n=643,217 individuals). Studies were of observational design and comprised cohort, cross-sectional and case-control studies. Most of the included studies showed a higher HbA1c in young female children both at diagnosis (seven studies, n=22,089) and during treatment (20 out of 21 studies, n=144,613), as well as a steeper HbA1c increase over time. Many studies observed a higher BMI (all ages, ten studies, n=89,700; adolescence, seven studies, n=33,153), a higher prevalence of being overweight or obese, and a higher prevalence of dyslipidaemia among the female sex. Hypoglycaemia and partial remission occurred more often in male participants, and ketoacidosis (at diagnosis, eight studies, n=3561) and hospitalisation was more often seen in female participants. Most of the findings showed that female participants used pump therapy more frequently (six studies, n=211,324) and needed higher insulin doses than male participants. Several comorbidities, such as thyroid disease and coeliac disease, appeared to be more common in female participants. All studies reported lower quality of life in female participants (15 studies, n=8722). Because the aim of this study was to identify sex differences, studies with neutral outcomes or minor differences may have been under-targeted. The observational designs of the included studies also limit conclusions on the causality between sex and clinical outcomes. CONCLUSIONS/INTERPRETATION: Sex disparities were observed throughout diabetes care in children with type 1 diabetes. Several outcomes appear worse in young female children, especially during adolescence. Focus on the cause and treatment of these differences may provide opportunities for better outcomes. REGISTRATION: This systematic review is registered in PROSPERO (CRD42020213640).

Salivary Function and Oral Health Problems in Crohn's Disease Patients.

Background: In Crohn's disease (CD) patients, many oral complaints have been reported. The aim of this study was to determine whether salivary function is contributing to reduced oral health in CD. Oral and dental complaints in patients were explored. The prevalence of xerostomia in conjunction with salivary flow rates and biochemical saliva composition was studied. Methods: The Xerostomia Inventory score (XI-score), the salivary flow rates, the concentrations of salivary amylase and mucin 5B, and the type of oral and dental complaints were evaluated. These outcomes were stratified by disease activity, using the Harvey Bradshaw Index (HBI) and the Inflammatory Bowel Disease Questionnaire (IBDQ-9). Results: Fifty-three CD patients in a Dutch tertiary referral hospital were included. Of the patients evaluated, 9.4% had hyposalivation under resting conditions, and 28.3% had hyposalivation under chewing stimulated conditions. Saliva secretion rates were not correlated to XI-scores. Median XI-score was 25 (11-45). XI-scores were correlated to the IBDQ scores (r = -0.352, P = 0.010). Salivary mucin 5B was correlated to disease activity (r = 0.295, P = 0.04). Regarding the number of oral complaints, a correlation with disease activity (HBI r = 0.349, P = 0.011) and experienced xerostomia (r = -0.554, P = 0.000) was observed. Oral and dental problems like oral ulcers (37.7%) and cavities (46%) occurred more frequently in CD patients, especially when compared with a non-IBD population. Conclusions: Oral and dental complaints are common in CD patients. Xerostomia is correlated with disease activity-associated quality of life and with the number of oral and dental complaints. Changes in salivary function may contribute to reduced oral health in CD patients. 10.1093/ibd/izy017_video1izy017.video15776803023001.