Estimation of input costs for a Markov model in a German health economic evaluation of newer antidepressants

Background: Estimating input costs for Markov models in health economic evaluations requires health state-specific costing. This is a challenge in mental illnesses such as depression, as interventions are not clearly related to health states. We present a hybrid approach to health state-specific cost estimation for a German health economic evaluation of antidepressants. Methods: Costs were determined from the perspective of the community of persons insured by statutory health insurance (“SHI insuree perspective”) and included costs for outpatient care, inpatient care, drugs, and psychotherapy. In an additional step, costs for rehabilitation and productivity losses were calculated from the societal perspective. We collected resource use data in a stepwise hierarchical approach using SHI claims data, where available, followed by data from clinical guidelines and expert surveys. Bottom-up and top-down costing approaches were combined. Results: Depending on the drug strategy and health state, the average input costs varied per patient per 8-week Markov cycle. The highest costs occurred for agomelatine in the health state first-line treatment (FT) (“FT relapse”) with €506 from the SHI insuree perspective and €724 from the societal perspective. From both perspectives, the lowest costs (excluding placebo) were €55 for selective serotonin reuptake inhibitors in the health state “FT remission.” Conclusion: To estimate costs in health economic evaluations of treatments for depression, it can be necessary to link different data sources and costing approaches systematically to meet the requirements of the decision-analytic model. As this can increase complexity, the corresponding calculations should be presented transparently. The approach presented could provide useful input for future models

Diffuse alveolar hemorrhage in children with interstitial lung disease: Determine etiologies!

OBJECTIVE: Diffuse alveolar hemorrhage (DAH) in children is a rare condition resulting from different underlying diseases. This study aimed at describing characteristics and diagnostic measures in children with ILD (children\u27s interstitial lung disease, chILD) and DAH to improve the diagnostic approach by increasing clinician\u27s awareness of diagnostic shortcomings. PATIENTS AND METHODS: A retrospective data analysis of patients with ILD and DAH treated in our own or collaborating centers between 01/07/1997 and 31/12/2020 was performed. Data on clinical courses and diagnostic measures were systematically retrieved as case-vignettes and investigated. To assess suitability of diagnostic software-algorithms, the Human Phenotype Ontology (HPO) was revised and expanded to optimize conditions of its associated tool the Phenomizer. RESULTS: For 97 (74%) of 131 patients, etiology of pulmonary hemorrhage was clarified. For 34 patients (26%), no underlying condition was found (termed as idiopathic pulmonary hemorrhage, IPH). Based on laboratory findings or clinical phenotype/comorbidities, 20 of these patients were assigned to descriptive clusters: IPH associated with autoimmune features (9), eosinophilia (5), renal disease (3) or multiorgan involvement (3). For 14 patients, no further differentiation was possible. CONCLUSION: Complete and sometimes repeated diagnostics are essential for establishing the correct diagnosis in children with DAH. We suggest assignment of patients with IPH to descriptive clusters, which may also guide further research. Digital tools such as the Phenomizer/HPO are promising, but need to be extended to increase diagnostic accuracy

Cortical thickness in the right medial frontal gyrus predicts planning performance in healthy children and adolescents

The ability to plan is an important part of the set of the cognitive skills called “executive functions.” To be able to plan actions in advance is of great importance in everyday life and constitutes one of the major key features for academic as well as economic success. The present study aimed to investigate the neuroanatomical correlates of planning in normally developing children, as measured by the cortical thickness of the prefrontal cortex. Eighteen healthy children and adolescents underwent structural MRI examinations and the Tower of London (ToL) task. A multiple regression analysis revealed that the cortical thickness of the right caudal middle frontal gyrus (cMFG) was a significant predictor of planning performance. Neither the cortical thickness of any other prefrontal area nor gender were significantly associated with performance in the ToL task. The results of the present exploratory study suggest that the cortical thickness of the right, but not the left cMFG, is positively correlated with performance in the ToL task. We, therefore, conclude that increased cortical thickness may be more beneficial for higher-order processes, such as information integration, than for lower-order processes, such as the analysis of external information

Moving between worlds: Teaching-based PhD identities from an ecological perspective

Background and aims: In this paper, we report on research conducted as a project, which was part of a PhD course on research methodology. The aim of the course was to develop participants practical researcher competence and to enhance their critical thinking skills. To meet these aims, the group collectively engaged in an empirical study into the shifting and potentially conflicting identities of teachers choosing to engage in occupation-based PhD studies (i.e., PhD studies with a professional focus, undertaken additionally to full- or part-time teaching jobs) at a university in Austria. Methods: The study was based on a series of in-depth semi-structured interviews conducted with eight PhD candidates, who are all studying toward a PhD in “Fachdidaktik” (“subject-specific teaching and learning”) in different disciplines. To better understand the multiple identities, perceived dynamics, and role of diverse social settings, we took an ecological perspective. Results and conclusion: The findings revealed how the participants academic identities were shaped within their own unique ecologies comprising their own personal, professional, and academic contexts, social relationships, attitudes toward each of these domains, perceived demands on their time, and their own initial and ongoing motivations for doing the PhD. Although the participants multiple identities and roles can function in synergistic ways, the data suggest that more often they experienced competing demands for time and attention with sometimes a lack of understanding or support from the respective professional or academic domains.(VLID)365895

Patients' preferences in periodontal disease treatment elicited alongside an IQWiG benefit assessment:a feasibility study

Background and purpose: The German Institute for Quality and Efficiency in Health Care (IQWiG) previously tested two preference elicitation methods in pilot projects and regarded them as generally feasible for prioritizing outcome-specific results of benefit assessment. The present study aimed to investigate the feasibility of completing a discrete choice experiment (DCE) within 3 months and to determine the relative importance of attributes of periodontal disease and its treatment. Patients and methods: This preference elicitation was conducted alongside the IQWiG benefit assessment of systematic treatments of periodontal diseases. Attributes were defined based on the benefit assessment, literature review, and patients' and periodontologists' interviews. The DCE survey was completed by patients with a history of periodontal disease. Preferences were elicited for the attributes tooth loss within next 10 years, own costs for treatment, follow-up visits, re-treatment, complaints and symptoms, and frequency of follow-up visits. Patients completed a self-administered questionnaire including 12 choice tasks. Data were analyzed using a random parameters logit model. The relative attribute importance was calculated based on level ranges. Results: Within 3 months, survey development, data collection among 267 patients, data analysis, and provision of a study report could be completed. The analysis showed that tooth loss (score 0.73) was the most important attribute in patients' decisions, followed by complaints and symptoms (0.22), frequency of follow-up visits (0.02), and costs (0.03) (relative importance scores summing up to 1). Conclusion: A preference analysis performing a DCE can be generally feasible within 3 months; however, a good research infrastructure and access to patients is required. Outcomes used in benefit assessments might need to be adapted to be used in preference analyses

Estimation of Input Costs for a Markov Model in a German Health Economic Evaluation of Newer Antidepressants.

Background: Estimating input costs for Markov models in health economic evaluations requires health state-specific costing. This is a challenge in mental illnesses such as depression, as interventions are not clearly related to health states. We present a hybrid approach to health state-specific cost estimation for a German health economic evaluation of antidepressants. Methods: Costs were determined from the perspective of the community of persons insured by statutory health insurance ("SHI insuree perspective") and included costs for outpatient care, inpatient care, drugs, and psychotherapy. In an additional step, costs for rehabilitation and productivity losses were calculated from the societal perspective. We collected resource use data in a stepwise hierarchical approach using SHI claims data, where available, followed by data from clinical guidelines and expert surveys. Bottom-up and top-down costing approaches were combined. Results: Depending on the drug strategy and health state, the average input costs varied per patient per 8-week Markov cycle. The highest costs occurred for agomelatine in the health state first-line treatment (FT) ("FT relapse") with €506 from the SHI insuree perspective and €724 from the societal perspective. From both perspectives, the lowest costs (excluding placebo) were €55 for selective serotonin reuptake inhibitors in the health state "FT remission." Conclusion: To estimate costs in health economic evaluations of treatments for depression, it can be necessary to link different data sources and costing approaches systematically to meet the requirements of the decision-analytic model. As this can increase complexity, the corresponding calculations should be presented transparently. The approach presented could provide useful input for future models

General acts passed by the General Court of Massachusetts

Imprint varies.Vols. for 1915-19 published in 2 v.: General acts; Special acts.Vols. for some years issued in parts.Separate vols. issued for extra session, 1916, and for extra session, 1933.Vol. 12 (May 1831-Mar. 1833) in Jan. session, 1833; Jan. 1834-Apr. 1836 in vol. for extra session 1835/Jan. session 1836; May 1824-Mar. 1828; June 1828-June 1831, Jan. 1832-Apr. 1834, Jan. 1835-Apr. 1838, each bound with corresponding vol.Resolves issued separately, 1780-1838

Weaker semantic language lateralization associated with better semantic language performance in healthy right-handed children.

Introduction The relationship between language abilities and language lateralization in the developing brain is important for our understanding of the neural architecture of language development. Methods We investigated 35 righthanded children and adolescents aged 716 years with a functional magnetic resonance imaging language paradigm and a comprehensive language and verbal memory examination. Results We found that less lateralized language was significantly correlated with better language performance across areas of the brain and across different language tasks. Less lateralized language in the overall brain was associated with better inscanner task accuracy on a semantic language decision task and outofscanner vocabulary and verbal fluency. Specifically, less lateralized frontal lobe language dominance was associated with better inscanner task accuracy and outofscanner verbal fluency. Furthermore, less lateralized parietal language was associated with better outofscanner verbal memory across learning, short and longdelay trials. In contrast, we did not find any relationship between temporal lobe language laterality and verbal performance. Conclusions This study suggests that semantic language performance is better with some involvement of the nondominant hemisphere.(VLID)480007