Dreger Marie, Langhoff Hauke, Henschke Cornelia
Department of Health Care Management, Technische Universität Berlin, Straße des 17. Juni 135, 10623, Berlin, Germany.
Berlin Centre for Health Economics Research (BerlinHECOR), Technische Universität Berlin, Straße des 17. Juni 135, 10623, Berlin, Germany.
Eur J Health Econ. 2022 Jul;23(5):791-805. doi: 10.1007/s10198-021-01395-w. Epub 2021 Nov 8.
The availability of large-scale medical equipment such as computed tomography (CT), magnet resonance imaging (MRI) and positron emission tomography (PET) scanners has increased rapidly worldwide over the last decades. Among OECD countries, Germany ranks high according to the number of imaging technologies and their applications per inhabitant. In contrast to other countries, there is no active governmental planning of large-scale medical equipment. We therefore investigated whether and how the adoption and distribution of CT, MRI and PET scanners in the German inpatient sector is subject to competition. Using a linear-probability model, we additionally examined the impact of regional, hospital- and population-based factors. In summary, our results indicate that the adoption rate by hospital sites decreases with the number of other sites being already equipped with the respective device and their proximity. However, the effect presumably depends on the technologies' stage within the diffusion process. No influence regarding the amount of state subsidies could be identified. Furthermore, hospital size and university status strongly affect the adoption.
在过去几十年里，诸如计算机断层扫描（CT）、磁共振成像（MRI）和正电子发射断层扫描（PET）扫描仪等大型医疗设备在全球范围内的可获得性迅速增加。在经合组织国家中，德国按人均成像技术及其应用数量排名靠前。与其他国家不同，德国没有政府对大型医疗设备的积极规划。因此，我们调查了德国住院部门中CT、MRI和PET扫描仪的采用和分布是否以及如何受到竞争影响。我们使用线性概率模型，还研究了基于地区、医院和人口的因素的影响。总之，我们的结果表明，医院场所的采用率会随着已配备相应设备的其他场所数量及其临近程度而降低。然而，这种影响可能取决于技术在扩散过程中的阶段。未发现国家补贴金额有任何影响。此外，医院规模和大学地位对采用有强烈影响。
