Bauer E, Kleine-Budde K, Stegbauer C, Kaufmann-Kolle P, Goetz K, Bestmann B, Szecsenyi J, Bramesfeld A
AQUA - Institute for Applied Quality Improvement and Research in Health Care, Maschmuehlenweg 8-10, 37073, Goettingen, Germany.
Department of General Practice and Health Services Research, University Hospital Heidelberg, Voßstr. 2, 69115, Heidelberg, Germany.
BMC Psychiatry. 2016 Jul 15;16:242. doi: 10.1186/s12888-016-0945-z.
Home treatment for severely mentally ill persons is becoming increasingly popular. This research aims to identify structures and processes in home treatment that impact on patient-related outcomes.
We analysed 17 networks that provide home treatment to severely mentally ill persons using a naturalistic approach. The networks were similar with regard to central components of home treatment such as case management, 24 h crisis hotline and home visits, but differed in all other aspects such as the multidisciplinary teams, time spent with patients, etc. To determine treatment outcome, patients' psychosocial functioning was measured using the Health of the Nation Outcome Scales (HoNOS). Structures and processes were assessed using claims data and questionnaires answered by the different networks. Primary outcome was highlighted by the change in HoNOS scores from the start of home treatment compared with 6 months later. We sought to explain this outcome through patient and network characteristics using regression analysis. Data on 3,567 patients was available.
On average, psychosocial functioning improved by 0.84 across networks between t0 and t1. There were more similarities than differences between the networks with regard to the structures and processes that we tested. A univariate regression analysis found staff's prior experience in mental health care and the effort that they invested in their work correlated positively with patient outcome. This needs to be interpreted under considering that univariate analysis does not show causal relationship. A high case load per case manager, increased and longer patient contact and more family intervention were correlated with worse patient outcome, probably indicating that sicker patients receive more care and intervention.
Home treatment networks succeed in delivering care tailored to the needs of patients. In order to improve the quality of care in home treatment, this study suggests employing experienced staff who is ready to invest more effort in their patients. Further research needs to consider a longer follow-up time.
为重症精神病患者提供居家治疗正变得越来越普遍。本研究旨在确定居家治疗中影响患者相关结局的结构和过程。
我们采用自然主义方法分析了17个为重症精神病患者提供居家治疗的网络。这些网络在居家治疗的核心组成部分(如个案管理、24小时危机热线和家访)方面相似,但在所有其他方面(如多学科团队、与患者相处的时间等)存在差异。为了确定治疗结局,使用国家健康结局量表(HoNOS)测量患者的心理社会功能。使用索赔数据和不同网络回答的问卷对结构和过程进行评估。主要结局通过居家治疗开始时与6个月后的HoNOS评分变化来突出显示。我们试图通过回归分析,利用患者和网络特征来解释这一结局。可获得3567名患者的数据。
在t0到t1期间,各网络的心理社会功能平均改善了0.84。在我们测试的结构和过程方面,各网络之间的相似之处多于差异。单变量回归分析发现,工作人员以前在精神卫生保健方面的经验以及他们在工作中投入的努力与患者结局呈正相关。但考虑到单变量分析未显示因果关系,这一点需要谨慎解读。每位个案管理员的高工作量、增加且持续时间更长的患者接触以及更多的家庭干预与更差的患者结局相关,这可能表明病情较重的患者接受了更多的护理和干预。
居家治疗网络成功地提供了符合患者需求的护理。为了提高居家治疗的护理质量,本研究建议聘用有经验且愿意为患者投入更多精力的工作人员。进一步的研究需要考虑更长的随访时间。