BackgroundDiabetes 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... Show moreBackgroundDiabetes 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.MethodsWe 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.ResultsTotal 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.ConclusionsThese 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. Show less
Even after thousands of years of experience in treating patients with TBI, decisions regarding the optimal treatment strategy remain difficult for both healthcare workers as policy makers. The... Show moreEven after thousands of years of experience in treating patients with TBI, decisions regarding the optimal treatment strategy remain difficult for both healthcare workers as policy makers. The first part of this thesis investigated the challenges of the treatment decision-making process in patients with (severe) TBI by focussing on three factors considered to be important in this process: patient outcome, in-hospital healthcare consumption, and in-hospital costs. The second part investigated the procedural difficulties in TBI research efficiency by focussing on the process of institutional review board approval and the use of informed consent procedures in patients with TBI with an inability to provide informed consent. Finally, we elaborate on the role of patient outcome and in-hospital costs in the acute treatment decision-making process in patients with severe TBI and make suggestions to optimize future research initiatives. Show less
Background:Nondialytic conservative care has been recognized as a viable alternative to chronic dialysis in older patients with end-stage kidney disease, but little is known about its consequences... Show moreBackground:Nondialytic conservative care has been recognized as a viable alternative to chronic dialysis in older patients with end-stage kidney disease, but little is known about its consequences on hospital utilization and costs.Methods:We performed a retrospective cohort study to compare outpatient and inpatient hospital utilization, place of death, and hospital costs in patients aged >= 70 years old who chose conservative care (n= 100) or dialysis (n= 162) after shared decision making in a nonacademic teaching hospital between 2008 and 2016.Results:Patients who chose conservative care were older than patients who chose dialysis (82.5 vs. 76.3 years). Comorbidity did not differ between the 2 patient groups. The incidence rates of outpatient visits per year were 7.1 in patients who chose conservative care and 10.7 in patients who chose dialysis (incidence rate ratio 0.67, 95% CI 0.55-0.81). The incidence rates of in-hospital days per year were, respectively, 6.0 and 9.8 (incidence rate ratio 0.50, 95% CI 0.29-0.88). Also in the final month of life, patients on conservative care had less outpatient visits, were less frequently hospitalized, and died less frequently in hospital than the dialysis patient group. The cost rates per year, measured from original treatment decision, were EUR 5,859 in conservative care patients and EUR 28,354 in patients who chose dialysis comprising both the predialysis and dialysis period (cost rate ratio 0.42, 95% CI 0.27-0.65). Patients who chose dialysis had higher costs on dialysis sessions, outpatient care, inpatient care, laboratory tests, and medical imaging.Conclusions:Patients who decided to forego dialysis and chose conservative care had less outpatient and inpatient hospital utilization than patients who chose dialysis, including less intensive hospital utilization near the end of life. Both overall and nondialysis-related costs were lower in patients on a conservative care pathway. Show less
Rolden, H.J.A.; Bodegom, D. van; Westendorp, R.G.J. 2014
The health care costs of population ageing are for an important part attributable to higher mortality rates in combination with high costs of dying. This paper answers three questions that remain... Show moreThe health care costs of population ageing are for an important part attributable to higher mortality rates in combination with high costs of dying. This paper answers three questions that remain unanswered regarding the costs of dying: (1) contributions of different health services to the costs of dying; (2) variation in the costs of dying; and (3) the influence of preceding health care expenses on the costs of dying.We retrieved data on 61,495 Dutch subjects aged 65 and older from July 2007 through 2010 from a regional health care insurer. We included all deceased subjects of whom health care expenses were known for 26 months prior to death (n ¼ 2833). Costs of dying were defined as health care expenses made in the last six months before death. Lorenz curves, generalized linear models and a two-part model were used for our analyses. (1) The average costs of dying are V25,919. Medical care contributes to 57% of this total, and long-term care 43%. The costs of dying mainly relate to hospital care (40%). (2) In the costs of dying, 75% is attributable to the costliest half of the population. For medical care, this distribution figure is 86%, and for long-term care 92%. Age and preceding expenses are significant determinants of this variation in the costs of dying. (3) Overall, higher preceding health care expenses are associated with higher costs of dying, indicating that the costs of dying are higher for those with a longer patient history. To summarize, there is not a large variation in the costs of dying, but there are large differences in the nature of these costs. Before death, the oldest old utilize more long-term care while their younger counterparts visit hospitals more often. To curb the health care costs of population ageing, a further understanding of the costs of dying is crucial. Show less