Background and Objectives Providing health care for older adults with multimorbidity is often complex, challenging, and prone to fragmentation. Although clinical decision-making should take into account treatment interactions, individual burden and resources, current approaches to assessing quality of care mostly rely on indicators for single conditions. The aim of this project was to develop a set of generic quality indicators for the management of patients aged 65 and older with multimorbidity that can be used in both health care research and clinical practice. Research Design and Methods Based on the findings of a systematic literature review and eight focus groups with patients with multimorbidity and their family members, we developed candidate indicators. Identified aspects of quality were mapped to core domains of health care to obtain a guiding framework for quality-of-care assessment. Using nominal group technique, indicators were rated by a multidisciplinary expert panel (n=23) following standardized criteria. Results We derived 47 candidate quality indicators from the literature and 4 additional indicators from the results of the focus groups. The expert panel selected a set of 25 indicators, which can be assigned to the levels of patient factors, patient-provider communication, and context and organizational structures of the conceptual framework. Discussion and Implications We developed a comprehensive indicator set for the management of multimorbidity that can help to highlight areas with potential for improving the quality of care and support application of multimorbidity guidelines. Furthermore, this study may serve as a blueprint for participatory designs in the development of quality indicators.
The HAIs and antibiotic use were comparable to the German HALT data from 2010. Compared to other German studies there is a steadily increasing MRSA problem in German LTCFs. High and increasing ESBL rates have been detected in German LTCFs. Further studies are needed to confirm this trend, preferably encompassing molecular methods to study epidemiology.
BackgroundPrevalence of people with multimorbidity rises. Multimorbidity constitutes a challenge to the healthcare system, and treatment of patients with multimorbidity is prone to high-quality variations. Currently, no set of quality indicators (QIs) exists to assess quality of care, let alone incorporating the patient perspective. We therefore aim to identify aspects of quality of care relevant to the patients’ perspective and match them to a literature-based set of QIs.MethodsWe conducted eight focus groups with patients with multimorbidity and three focus groups with patients’ relatives using a semistructured guide. Data were analysed using Kuckartz’s qualitative content analysis. We derived deductive categories from the literature, added inductive categories (new quality aspects) and translated them into QI.ResultsWe created four new QIs based on the quality aspects relevant to patients/relatives. Two QIs (patient education/self-management, regular updates of medication plans) were consented by an expert panel, while two others were not (periodical check-ups, general practitioner-coordinated care). Half of the literature-based QIs, for example, assessment of biopsychosocial support needs, were supported by participants’ accounts, while more technical domains regarding assessment and treatment regimens were not addressed in the focus groups.ConclusionWe show that focus groups with patients and relatives adding relevant aspects in QI development should be incorporated by default in QI development processes and constitute a reasonable addition to traditional QI development. Our QI set constitutes a framework for assessing the quality of care in the German healthcare system. It will facilitate implementation of treatment standards and increase the use of existing guidelines, hereby helping to reduce overuse, underuse and misuse of healthcare resources in the treatment of patients with multimorbidity.Trial registration numberGerman clinical trials registry (DRKS00015718), Pre-Results.
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