RESUMEN
EINLEITUNG: Daten zum Einkommen von Ärzt:innen in Deutschland sind bisher nur teilweise verfügbar. Die Einkommen der niedergelassenen Ärzteschaft werden vor allem aus den Praxiserträgen abgeleitet, was aber große Interpretationsspielräume eröffnet. Ziel des Artikels ist es, diese Lücke zu schließen. METHODIK: Hierfür werden die Einkommensangaben aus dem Mikrozensus 2017 ausgewertet - mit besonderem Fokus auf niedergelassene Ärzt:innen. Neben dem persönlichen Einkommen erfolgt eine Darstellung der Einkommenssituation auf Haushaltsebene. Die Einkommensziffern werden nach Tätigkeitsumfang, Tätigkeitsgruppe (Allgemein-/Fach-/Zahnärzte), Geschlecht und Stadt/Land differenziert. ERGEBNISSE UND SCHLUSSFOLGERUNG: Das verfügbare persönliche Nettoeinkommen niedergelassener Ärzt:innen beträgt bei Vollzeittätigkeit im Mittel knapp 7.900 pro Monat. Fachärzt:innen liegen bei 8.250 , Allgemein- und Zahnärzt:innen bei ca. 7.700 . Eine finanzielle Benachteiligung von Landärzt:innen lässt sich nicht feststellen, Allgemeinärzt:innen aus Gemeinden<5.000 Einwohnerinnen und Einwohner haben mit 8.700 sogar das höchste Durchschnittseinkommen - bei einer mittleren Arbeitszeit von 51 Stunden pro Woche. Ärztinnen arbeiten häufiger in Teilzeit als Ärzte. Ein niedrigeres Einkommen resultiert überwiegend aus einem geringeren Tätigkeitsumfang. INTRODUCTION: Data on the income of physicians in Germany are only partially available to date. The income of physicians in private practice is derived primarily from practice income, but this opens up considerable scope for interpretation. The aim of this article is to close this gap. METHODOLOGY: For this purpose, the income data from the 2017 micro census were evaluated, with a special focus on physicians in private practice. In addition to personal income, the income situation was presented at the household level. The income figures were differentiated according to the scope of activity, activity group (general practitioners/specialists/dentists), gender and city/country. RESULTS AND CONCLUSION: The disposable personal income of physicians in private practice was just under 7,900 per month on average for full-time employment. Specialists earned 8,250, while general practitioners and dentists earned about 7,700. Rural physicians were not found to suffer from financial disadvantages; general practitioners from municipalities with<5,000 inhabitants even had the highest average income of 8,700, with an average working time of 51 hours per week. Female physicians worked part-time more often than did male physicians. A lower income resulted primarily from a lower scope of activity.
Asunto(s)
Censos , Médicos Generales , Masculino , Humanos , Femenino , Alemania , Práctica PrivadaRESUMEN
PURPOSE: 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. Statistical data analysis was performed using multinomial logit models RESULTS: Apart from five identical attributes, one specific attribute was identified for each study group, respectively. Overall, 322 patients (mean age 68.99) and 187 referring physicians (mean age 53.60) were included. Our models displayed significant coefficients for all attributes (p < 0.001 each). Among patients, "Postoperative complication rate" (20.6%; level range of 1.164) was rated highest, followed by "Mobility at hospital discharge" (19.9%; level range of 1.127), and ''The number of cases treated" (18.5%; level range of 1.045). In contrast, referring physicians valued most the ''One-year revision surgery rate'' (30.4%; level range of 1.989), followed by "The number of cases treated" (21.0%; level range of 1.372), and "Postoperative complication rate" (17.2%; level range of 1.123) CONCLUSION: We determined considerable differences between both study groups when calculating the relative value of publicly available hospital quality information. This may have an impact when calculating aggregated composite measures based on consumer-based weighting.