Article ; Online: Quality indicators for collaborative care networks in persistent somatic symptoms and functional disorders: a modified delphi study.
2024 Volume 24, Issue 1, Page(s) 225
Abstract: Background: Care for persistent somatic symptoms and functional disorders (PSS/FD) is often fragmented. Collaborative care networks (CCNs) may improve care quality for PSS/FD. Effectiveness likely depends on their functioning, but we lack a ... ...
| Abstract | Background: Care for persistent somatic symptoms and functional disorders (PSS/FD) is often fragmented. Collaborative care networks (CCNs) may improve care quality for PSS/FD. Effectiveness likely depends on their functioning, but we lack a straightforward quality evaluation system. We therefore aimed to develop quality indicators to evaluate CCNs for PSS/FD. Method: Using an online three-round modified Delphi process, an expert panel provided, selected and ranked quality indicators for CCNs in PSS/FD. Recruited experts were diverse healthcare professionals with relevant experience in PSS/FD care in the Netherlands. Results: The expert panel consisted of 86 professionals representing 15 disciplines, most commonly physiotherapists, psychologists and medical specialists. 58% had more than 10 years experience in PSS/FD care. Round one resulted in 994 quotations, which resulted in 46 unique quality indicators. These were prioritised in round two and ranked in round three by the panel, resulting in a final top ten. The top three indicators were: "shared vision of care for PSS/FD", "pathways tailored to the individual patient", and "sufficiently-experienced caregivers for PSS/FD". Conclusions: The identified quality indicators to evaluate CCNs in the field of PSS/FD can be implemented in clinical practice and may be useful in improving services and when assessing effectiveness. |
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| MeSH term(s) | Humans ; Quality Indicators, Health Care ; Delphi Technique ; Medically Unexplained Symptoms ; Netherlands ; Physical Therapists |
| Language | English |
| Publishing date | 2024-02-21 |
| Publishing country | England |
| Document type | Journal Article |
| ZDB-ID | 2050434-2 |
| ISSN | 1472-6963 ; 1472-6963 |
| ISSN (online) | 1472-6963 |
| ISSN | 1472-6963 |
| DOI | 10.1186/s12913-024-10589-w |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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