Geraedts Max, Mehl Claudia, Schmitz Jutta, Siegel Achim, Graf Erika, Stelzer Dominikus, Farin-Glattacker Erik, Ihle Peter, Köster Ingrid, Dröge Patrik, Günster Christian, Haas Nathalie, Gröne Oliver, Schubert Ingrid
Fachbereich Medizin, Philipps-Universität Marburg, Marburg, Deutschland.
Fachbereich Medizin, Philipps-Universität Marburg, Marburg, Deutschland.
Z Evid Fortbild Qual Gesundhwes. 2020 Apr;150-152:54-64. doi: 10.1016/j.zefq.2020.04.001. Epub 2020 May 25.
The project "INTEGRAL-10-year evaluation of the population-based integrated health care model 'Gesundes Kinzigtal' (Healthy Kinzigtal)" (ICM-GK) is funded by the Innovation Committee of the Federal Joint Committee (G-BA) (grant no. 01VSF16002). The evaluation is to be based on a set of indicators that can be captured in routine data. On the one hand, they can be used to assess ICM-GK programs that are program-specific and geared towards prevention and disease management. On the other hand, possible negative side effects of the ICM-GK, which is designed as a "shared savings contract", are to be examined by also observing care needs not covered by the ICM-GK contract. Since an indicator set for the evaluation of regional integrated care (IC) programs in Germany is not yet available, a suitable indicator set should be developed.
RESULTS: The methodological framework links the OECD concept for quality assessment of health systems with Kessner's tracer methodology. Disease groups with a high prevalence ("common diseases"), prevention potential and potential for improvement through IC were selected as tracers. The literature search resulted in 239 QIs and the QI database search in 293 QIs, which were supplemented by 21 QIs from the focus groups. Out of a total of 553 QIs, 251 QIs remained after removal of duplicates and comparison with the data basis. This preliminary QI set was reduced to 101 QIs by consensus. In addition, 48 health reporting indicators were supplemented which serve to classify regional quality results. The final QI set maps the following 19 disease categories/tracers: heart failure (16 QIs), myocardial infarction (4 QIs), CHD (10 QIs), stroke (6 QIs), metabolic syndrome (7 QIs of which 5 were diabetes-related), COPD (6 QIs), asthma (3 QIs), chronic pain (5 QIs), back pain (3 QIs), geriatrics (7 QIs), dementia (8 QIs), osteoporosis (3 QIs), rheumatism (3 QIs), multiple sclerosis (2 QIs), depression (4 QIs), antibiotic therapy (3 QIs), drug safety (1 QI), child care (5 QIs), early detection/prevention (5 QIs). 33 of these QIs are dedicated to five tracers that are not explicitly ICM-GK programs. Most QIs assess aspects of the effectiveness of care for the chronically ill and measure process quality.
The set of indicators initially enables the quality assessment of regional, cross-indication care quality in the population-based integrated health care model 'Gesundes Kinzigtal' on the basis of routine data. Although the QI set focuses on effectiveness and process quality, it also includes QIs for preventive and acute care, coordination of care, patient orientation and safety, and outcomes. In contrast to other QI sets, both primary care and specialist health care and integrated, cross-sectoral and cross-professional care aspects have been considered. The benefits of the QI set for comparisons of regional quality and the evaluation of different IC programs remain to be tested.
On the basis of a broadly based research and participatory development process, a set of indicators has been developed that enables comprehensive evaluation of the regional quality of care of cross-indication, integrated care models focusing on common diseases. In order to be able to increasingly evaluate aspects of care coordination and patient orientation, health promotion as well as nursing, palliative and emergency care in the future, it would be helpful if routine data were collected or made accessible in these areas as well.
“基于人群的综合医疗模式‘健康金齐希塔尔’(Gesundes Kinzigtal)的10年综合评估”(ICM - GK)项目由联邦联合委员会(G - BA)创新委员会资助(资助编号:01VSF16002)。该评估将基于一组可在常规数据中获取的指标。一方面,这些指标可用于评估特定于项目且面向预防和疾病管理的ICM - GK项目。另一方面,作为“共享节约合同”设计的ICM - GK可能产生的负面副作用,也将通过观察ICM - GK合同未涵盖的护理需求来进行研究。由于德国尚无用于评估区域综合护理(IC)项目的指标集,因此应开发一套合适的指标集。
结果:该方法框架将经合组织卫生系统质量评估概念与凯斯纳的追踪方法联系起来。选择了患病率高的疾病组(“常见疾病”)、预防潜力以及通过综合护理可改善的潜力作为追踪对象。文献检索得到239个质量指标(QIs),QI数据库检索得到293个QIs,焦点小组补充了21个QIs。在总共553个QIs中,去除重复项并与数据基础进行比较后,剩下251个QIs。通过共识将这个初步的QI集减少到101个QIs。此外,补充了48个健康报告指标,用于对区域质量结果进行分类。最终的QI集涵盖以下19种疾病类别/追踪对象:心力衰竭(16个QIs)、心肌梗死(4个QIs)、冠心病(10个QIs)、中风(6个QIs)、代谢综合征(7个QIs,其中5个与糖尿病相关)、慢性阻塞性肺疾病(6个QIs)、哮喘(3个QIs)、慢性疼痛(5个QIs)、背痛(3个QIs)、老年病学(7个QIs)、痴呆症(8个QIs)、骨质疏松症(3个QIs)、风湿病(3个QIs)、多发性硬化症(2个QIs)、抑郁症(4个QIs)、抗生素治疗(3个QIs)、药物安全(1个QIs)、儿童护理(5个QIs)、早期检测/预防(5个QIs)。其中33个QIs专门针对五个并非明确的ICM - GK项目的追踪对象。大多数QIs评估慢性病护理效果的各个方面并衡量过程质量。
该指标集最初能够基于常规数据对基于人群的综合医疗模式“健康金齐希塔尔”中的区域跨适应症护理质量进行评估。尽管QI集侧重于效果和过程质量,但它也包括预防和急性护理、护理协调、以患者为导向和安全以及结果方面的QIs。与其他QI集不同,它既考虑了初级护理和专科医疗保健,也考虑了综合、跨部门和跨专业的护理方面。该QI集在区域质量比较和不同IC项目评估方面的益处仍有待检验。
基于广泛的研究和参与式开发过程,已开发出一套指标,能够对以常见疾病为重点的跨适应症、综合护理模式的区域护理质量进行全面评估。为了能够在未来越来越多地评估护理协调、以患者为导向、健康促进以及护理、姑息和急诊护理等方面,如果在这些领域也收集或获取常规数据将有所帮助。