Department of Health Care Management, Technical University of Berlin, Strasse des 17. Juni 135, 10623, Berlin, Germany.
Centre for Health Economics, University of York, Alcuin College, York, YO105DD, UK.
Eur J Health Econ. 2020 Jul;21(5):703-716. doi: 10.1007/s10198-020-01165-0. Epub 2020 Feb 25.
In April 2015, the English National Health Service started implementing the first waiting time targets in mental health care. This study aims to investigate the effect of the 14-day waiting time target for early intervention in psychosis (EIP) services after the first six months of its implementation.
We analyse a cohort of first-episode psychosis patients from the English administrative Mental Health and Learning Disabilities Dataset 2011 to 2015. We compare patients being treated by EIP services (treatment) with those receiving care from standard community mental health services (control). We combine non-parametric matching with a difference-in-difference approach to account for observed and unobserved group differences. We analyse the probability of waiting below target and look at different percentiles of the waiting time distribution.
EIP patients had an 11.6-18.4 percentage point higher chance of waiting below target post-policy compared to standard care patients. However, post-policy trends at different percentiles of the waiting time distribution were not different between groups.
Mental health providers seem to respond to waiting time targets in a similar way as physical health providers. The increased proportion waiting below target did not, however, result in an overall improvement across the waiting time distribution.
2015 年 4 月,英国国民保健署开始实施精神卫生保健领域的首个等待时间目标。本研究旨在调查在实施早期精神病干预(EIP)服务 14 天等待时间目标后的头六个月的效果。
我们分析了 2011 年至 2015 年英国行政心理健康和学习障碍数据集的首发精神病患者队列。我们将接受 EIP 服务治疗的患者(治疗组)与接受标准社区心理健康服务治疗的患者(对照组)进行比较。我们结合非参数匹配和差异中的差异方法来考虑观察到的和未观察到的组间差异。我们分析了低于目标的等待概率,并研究了等待时间分布的不同百分位数。
与标准护理患者相比,EIP 患者在政策后等待时间低于目标的可能性高 11.6-18.4 个百分点。然而,在等待时间分布的不同百分位数上,两组之间的政策后趋势没有差异。
精神卫生服务提供者似乎以与身体保健服务提供者类似的方式对等待时间目标做出反应。然而,等待时间低于目标的比例增加并没有导致整个等待时间分布的总体改善。