SummaryBackground: Physician rating websites (PRWs) are gaining in popularity among patients seeking quality information about physicians. However, little knowledge is available about the quantity and type of information provided on the websites. Objective: To determine and structure the quantity and type of information about physicians in the outpatient sector provided on German-language physician rating websites. Methods: In a first step, we identified PRWs through a systematic internet search using German keywords from a patient´s perspective in the two search engines Google and Yahoo. Afterwards, information about physicians available on the websites was collected and categorised according to Donabedian´s structure/process/outcome model. Furthermore, we investigated whether the informa- tion was related to the physician himself/ herself or to the practice as a whole. Results: In total, eight PRWs were detected. Our analysis turned up 139 different information items on eight websites; 67 are related to the structural quality, 4 to process quality, 5 to outcomes, and 63 to patient satisfaction/ -experience. In total, 37% of all items focus specifically on the physician and 63% on the physician's practice. In terms of the total amount of information provided on the PRWs, results range from 61 down to 13.5 items. Conclusions: A broad range of information is available on German PRWs. While structural information can give a detailed overview of the financial, technical and human resources of a practice, other outcome measures have to be interpreted with caution. Specifically, patient satisfaction results are not risk-adjusted, and thus, are not appropriate to represent a provider's quality of care. Consequently, neither patients nor physicians should yet use the information provided to make their final decision for or against an individual physician.
The lists of questions for physician rating differ widely from portal to portal in quantitative as well as in qualitative aspects. From the comparison on the basis of defined quality criteria it can be deduced that all portals could only provide limited support for identifying a good doctor's surgery at the current state of development. For a well-grounded decision support, additional quality aspects would have to be integrated.
The COVID-19 pandemic posed challenges to governments in terms of contact tracing. Like many other countries, Germany introduced a mobile-phone-based digital contact tracing solution (“Corona Warn App”; CWA) in June 2020. At the time of its release, however, it was hard to assess how effective such a solution would be, and a political and societal debate arose regarding its efficiency, also in light of its high costs. This study aimed to analyze the effectiveness of the CWA, considering prevented infections, hospitalizations, intensive care treatments, and deaths. In addition, its efficiency was to be assessed from a monetary point of view, and factors with a significant influence on the effectiveness and efficiency of the CWA were to be determined. Mathematical and statistical modeling was used to calculate infection cases prevented by the CWA, along with the numbers of prevented complications (hospitalizations, intensive care treatments, deaths) using publicly available CWA download numbers and incidences over time. The monetized benefits of these prevented cases were quantified and offset against the costs incurred. Sensitivity analysis was used to identify factors critically influencing these parameters. Between June 2020 and April 2022, the CWA prevented 1.41 million infections, 17,200 hospitalizations, 4600 intensive care treatments, and 7200 deaths. After offsetting costs and benefits, the CWA had a net present value of EUR 765 m in April 2022. Both the effectiveness and efficiency of the CWA are decisively and disproportionately positively influenced by the highest possible adoption rate among the population and a high rate of positive infection test results shared via the CWA.
to result in any great changes, although in certain areas, price reductions can be expected. ConClusions: Some downward pressure on prices in other EU markets is likely as Croatia becomes a reference market for IRP, although this is likely to be limited in scope in the short term, with only particular products and therapeutic groups affected. Over the longer term, as more markets add Croatia to their reference-pricing baskets, this pressure is likely to intensify.
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