Methodological considerations in calculating the minimal clinically important change score for the core outcome measures index (COMI): insights from a large single-centre spine surgery registry
MCIC calculation methods produce varying values, emphasizing careful method selection. Distribution-based methods likely measure minimal detectable change, while non-predictive anchor-based methods can yield high MCIC values due to group averaging. Predictive anchor-based methods offer more stable and clinically relevant MCIC values for improvement but are affected by prevalence and reliability corrections.
Authors
- Jacopo Antonino Vitale (ORCID: https://orcid.org/0000-0002-7537-079X)
- Andrea Cina (ORCID: https://orcid.org/0000-0002-6016-6200)
- Markus Loibl (ORCID: https://orcid.org/0000-0001-7631-0476)
- T. Fekete (ORCID: https://orcid.org/0000-0001-5231-5600)
- Catherine R. Jutzeler (ORCID: https://orcid.org/0000-0001-7167-8271)
- Frank Kleinstück (ORCID: https://orcid.org/0000-0003-2057-2201)
- Daniel Haschtmann (ORCID: https://orcid.org/0000-0003-0437-8521)
- Anne F. Mannion (ORCID: https://orcid.org/0000-0002-1203-1096)
- Fabio Galbusera (ORCID: https://orcid.org/0000-0003-1826-9190)
Institutions
- SIB Swiss Institute of Bioinformatics (CH)
- ETH Zurich (CH)
- Schulthess-Klinik (CH)
Publication Details
- Journal
- European Spine Journal
- Published
- 2024-10-28
- DOI
- https://doi.org/10.1007/s00586-024-08537-7
- Citations
- 4
- Primary Topic
- Delphi Technique in Research
- Type
- article
- Field-Weighted Citation Impact
- 4.53