Krebs Stephanie, Hasseler Martina
Fakultät Gesundheitswesen, Ostfalia Hochschule für angewandte Wissenschaften, Poststr. 19, 38440, Wolfsburg, Deutschland.
Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2023 May;66(5):515-522. doi: 10.1007/s00103-023-03688-2. Epub 2023 Apr 25.
In 2019, a new assessment tool for evaluating quality in long-term care facilities was introduced in Germany. The quality indicators are based on a linear understanding of quality, which appears obsolete in view of the many interacting influencing factors (actors, contextual factors). In the international literature, quality assurance in long-term care facilities is rather based on a systemic understanding of quality.This contribution to the discussion is to be classified against the background of the existing debate on quality assessment. Empirical results from two research projects supported by the Innovation Fund, Quality Measurement in Long-Term Care with Routine Data (QMPR) and Cross-Sector & Integrated Emergency and Care Management for the Last Phase of Life in Inpatient Long-Term Care (NOVELLE), are presented to highlight the complexity of quality in long-term care and to also point out the need to develop a systemic understanding of quality in long-term care in Germany. It is necessary to identify the diverse influencing factors in order to develop meaningful and robust quality indicators for long-term care.
2019年,德国引入了一种用于评估长期护理机构质量的新评估工具。质量指标基于对质量的线性理解,鉴于存在诸多相互作用的影响因素(参与者、背景因素),这种理解显得过时。在国际文献中,长期护理机构的质量保证更多地基于对质量的系统理解。本文对这一讨论的贡献将在关于质量评估的现有辩论背景下进行归类。展示了由创新基金支持的两个研究项目——“长期护理中利用常规数据进行质量测量”(QMPR)和“住院长期护理生命末期的跨部门与综合应急及护理管理”(NOVELLE)的实证结果,以突出长期护理质量的复杂性,并指出在德国有必要形成对长期护理质量的系统理解。为了制定有意义且可靠的长期护理质量指标,识别各种影响因素是必要的。