Development of a Conversion Table Linking Functional Independence Measure Scores to International Classification of Functioning, Disability, and Health Qualifiers: Insights from a Survey of Healthcare Professionals

  • Shu Umemori
  • , Mao Ogawa
  • , Shin Yamada
  • , Masayo Komatsu
  • , Emiko Oikawa
  • , Yasuyo Okamoto
  • , Masaki Katoh
  • , Tomohide Shirasaka
  • , Kagari Abiko
  • , Shigehiro Moriizumi
  • , Yuichiro Matsuo
  • , Harukazu Tohyama
  • , Masahiko Mukaino

Research output: Contribution to journalArticlepeer-review

Abstract

In clinical practice, patient assessments rely on established scales. Integrating data from these scales into the International Classification of Functioning, Disability, and Health (ICF) framework has been suggested; however, a standardized approach is lacking. Herein, we tested a new approach to develop a conversion table translating clinical scale scores into ICF qualifiers based on a clinician survey. The survey queried rehabilitation professionals about which functional independence measure (FIM) item scores (1–7) corresponded to the ICF qualifiers (0–4). A total of 458 rehabilitation professionals participated. The survey findings indicated a general consensus on the equivalence of FIM scores with ICF qualifiers. The median value for each item remained consistent across all item groups. Specifically, FIM 1 had a median value of 4; FIM 2 and 3 both had median values of 3; FIM 4 and 5 both had median values of 2; FIM 6 had a median value of 1; and FIM 7 had a median value of 0. Despite limitations due to the irreconcilable differences between the frameworks of existing scales and the ICF, these results underline the ICF’s potential to serve as a central hub for integrating clinical data from various scales.

Original languageEnglish
Article number831
JournalHealthcare (Switzerland)
Volume12
Issue number8
DOIs
Publication statusPublished - 04-2024
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Leadership and Management
  • Health Policy
  • Health Informatics
  • Health Information Management

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