Background:ADHD is a highly prevalent disease in childhood which often persists into adulthood, then co-occurring with common adult conditions. Especially for adult ADHD, little is known about the costs of ADHD and the additional costs of comorbid conditions.Aims:To determine medical costs of ADHD and costs of comorbidities (mood, anxiety and substance use disorders, obesity), including their co-occurrence rates, stratified by age and gender.Method:Claims data from a German Statutory Health Insurance database with approximately four million member-records per year were analysed. A total of 25,300 prevalent ADHD patients were identified by means of an ICD-10 GM diagnosis of ADHD. A 1:1 age and gender adjusted reference group without ADHD diagnosis was randomly selected. Total health claims and health care costs related to ADHD were analysed, in addition to more targeted analyses of the occurrence and costs of pre-defined common comorbidities of, in particular, adult ADHD (SUD, mood and anxiety disorders, obesity). Outcomes were mean costs per patient and occurrence rates of comorbid conditions. Surplus costs of a comorbid condition in persons with ADHD relative to costs of this condition in persons without ADHD were calculated. Subgroup analyses were conducted based on age (0–12 years, 13–17 years, 18–30years, 30+ years) and gender.Results:Patients with ADHD were €1500 more expensive annually than individuals without ADHD (p < 0.001). Main cost drivers were inpatient care, psychiatrists and psychotherapists. Mood, anxiety, substance use disorders and obesity were significantly more frequent in ADHD patients and additional costs resulting from the comorbid conditions amounted up to €2800. Costs were slightly higher in women than men and increased with age for both genders. In young adults (18–30 years) health care costs dropped notably, especially costs for the medical treatment of ADHD with stimulants and costs for psychiatrists, before rising again in the group of patients over 30 years who had higher comorbidity rates.Conclusions:Medical costs for ADHD are substantial, in part through frequently occurring comorbid conditions, and particularly in adulthood, and are likely to further accelerate in the coming years. A gap of care was found, starting with the transition age group of patients over 17 years, as indicated by reduced costs per person during young adulthood, as well as an overall strong drop in administrative prevalence. In the future, approaches to improve the situation of care and reduce costs at the same time, i.e. through managed care programmes, should be implemented and benefit from detailed knowledge on age and gender-specific cost-drivers.
Aims: To investigate treatment of moderate-to-severe ulcerative colitis (UC) using real-world German health insurance claims data. Materials and methods: A retrospective, longitudinal cohort study was conducted from a German statutory health insurance database for adult patients with UC indexed on biologic therapy initiation (2013-2015). Anonymized data were evaluated for 12 months prior to (baseline) through 24 months after (follow-up) indexing. Biologic dose escalations, steroid and immunosuppressant use, healthcare resource utilization (HCRU) and direct healthcare costs were evaluated, with significant differences assessed across and between index biologics. Descriptive statistics, chi-square or Fisher's exact tests, and analysis of variance were performed. Results: The analysis included 304 patients (adalimumab, n ¼ 125; golimumab, n ¼ 47; infliximab, n ¼ 114; vedolizumab, n ¼ 18). Demographic and clinical characteristics were similar across biologics. Dose escalations occurred in 58% of patients (73% of patients receiving adalimumab), with 41% receiving subsequent de-escalation. Steroids were used during follow-up by 74% of patients; 25% received steroids >14 weeks after indexing. Overall, 41% of patients received an immunosuppressant during follow-up. Steroid and immunosuppressant use were similar across biologics. Total direct healthcare costs were higher during follow-up than baseline and differed significantly across treatments (p < .05), with highest costs for golimumab. Biologic costs contributed to a major portion of follow-up costs. HCRU and costs for most resources were higher in the first 12-month follow-up period than baseline. All resource use except gastroenterology visits returned to, or below, baseline levels 13-24 months post-index date. Limitations: There was potential for inappropriate inclusion/exclusion due to miscoding. Patients may have received biologics >12 months prior to the index date. Biologic originators and biosimilars could not be differentiated. Conclusions: These data suggest that control with current biologics is suboptimal. Further treatment options that provide sustained steroid-free remission for this patient population without the need for dose escalations or concomitant therapies may be warranted.
Background There are limited data on long-term mortality in sleep apnoea (SA) patients with and without positive airway pressure (PAP) therapy. This retrospective cohort study investigated long-term hospitalisation and mortality rates in SA patients from a German statutory health insurance (SHI) database who did versus did not receive PAP therapy. Methods Patients had continuous insurance coverage from 01 January 2008 to 31 December 2013, complete medical records and ≥1 SA-related diagnosis in 2009. Those receiving PAP were matched with a control group not treated with PAP. Outcomes (hospitalisations including stays in the sleep laboratory) were compared between groups the year prior to and the 4 years after SA diagnosis. Mortality was assessed in the 4 years after SA diagnosis. Results 2176 PAP therapy recipients were matched with 2176 controls. The PAP group had a higher rate of hospitalisation in the year before SA diagnosis than the control group (80.2% vs. 26.6%; p = 0.0016). After diagnosis, the PAP group had a higher hospitalisation rate only in year 1 (p < 0.05), and average length of stay per hospitalisation was lower in the PAP group (p < 0.05 vs. control at years 1, 2 and 4). Cumulative all-cause mortality after year 3 (3.4% vs. 4.6%; p = 0.0287) and after year 4 (4.8% vs. 6.5%; p = 0.0175) was significantly lower in SA patients receiving PAP versus controls (relative risk reduction for death after 4 years: 25.5%). Conclusion This real-world cohort study showed an association between long-term PAP therapy use and lower mortality, a higher rate of hospitalisations before and shorter hospital stays after treatment initiation.
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