Quality-assured treatment in certified cancer center networks in upper Franconia, Germany: a population-centered retrospective cohort analysis based on data of the Bavarian cancer registry.

Background: Cancer is the second most common cause of death in Germany, and treatment in certified cancer networks is recommended to ensure high-quality care. This study sought to (1) determine the percentage of all primary tumors that might potentially have been treated in certified cancer networks and (2) assess the development and current state of quality-assured cancer care for all cancer patients from a locally defined region in Upper Franconia, Germany.

Methods: This study was a population-centered retrospective cohort analysis based on data from the Bavarian Cancer Registry (2017-2023).

The elicitation of patient and physician preferences for calculating consumer-based composite measures on hospital report cards: results of two discrete choice experiments.

The calculation of aggregated composite measures is a widely used strategy to reduce the amount of data on hospital report cards. Therefore, this study aims to elicit and compare preferences of both patients as well as referring physicians regarding publicly available hospital quality information METHODS: Based on systematic literature reviews as well as qualitative analysis, two discrete choice experiments (DCEs) were applied to elicit patients' and referring physicians' preferences. The DCEs were conducted using a fractional factorial design.

Preferences of People Living with HIV for Long-Acting Antiretroviral Treatment in Germany: Evidence from a Discrete Choice Experiment.

Objective: This study aimed to elicit preferences for attributes of current and novel long-acting antiretroviral therapy for human immunodeficiency virus treatment.

Methods: Primary survey data were collected (July-October 2022) on a sample of 333 people living with human immunodeficiency virus in Germany from a patient recruitment agency. Respondents were invited by e-mail to respond to a web-based questionnaire.

Endogenous longevity and optimal tax progressivity.

We study the impact of endogenous longevity on optimal tax progressivity and inequality in an overlapping generations model with skill heterogeneity. Higher tax progressivity decreases both the longevity gap and net income inequality, but at the expense of lower average lifetime and income. We find that the welfare-maximizing income tax is less progressive in our model with endogenous longevity than in our model with exogenous longevity.