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Measuring the Quality of Care for Older Adults With Multimorbidity: Results of the MULTIqual Project
Author(s) -
Josefine Schulze,
Katharina Glassen,
Nadine Janis Pohontsch,
Eva Blozik,
Tabea Eißing,
Amanda Breckner,
Charlotte Höflich,
Anja Rakebrandt,
Ingmar Schäfer,
Joachim Szécsényi,
Martin Scherer,
Dagmar Lühmann
Publication year - 2022
Publication title -
the gerontologist
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.524
H-Index - 138
eISSN - 1758-5341
pISSN - 0016-9013
DOI - 10.1093/geront/gnac013
Subject(s) - blueprint , quality (philosophy) , context (archaeology) , multidisciplinary approach , health care , process management , quality management , medicine , knowledge management , computer science , operations management , business , engineering , geography , mechanical engineering , social science , philosophy , management system , archaeology , epistemology , sociology , economic growth , economics
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.

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