A cross-sectional comparison of patient characteristics across healthcare settings using the minimal dataset for adults with acquired brain injury (MDS-ABI)

Anne-Fleur Domensino, Ieke Winkens, Jolanda C. M. van Haastregt, Coen A. M. van Bennekom, Caroline M. van Heugten

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)

Abstract

Acquired Brain Injury (ABI) can have lifelong consequences and accordingly, persons with ABI often receive various types of healthcare. Facilities have their own preferences towards measurement instruments used to evaluate patients, impeding data comparison across healthcare settings. In this cross-sectional study, we used the previously developed minimal dataset for persons with ABI (MDS-ABI) to uniformly document and compare characteristics and outcomes of ABI patients in three healthcare settings: (1) residential care (n = 21), (2) non-residential care (n = 80), and (3) no ABI-related care (n = 22). Overall, patients of residential care settings had the lowest functional outcome compared with patients in the remaining groups. Nonetheless, all groups showed substantial disabilities within numerous life domains, indicating that the consequences of ABI are widespread among patients within and outside of healthcare facilities. These results demonstrate the need for a broad measurement of the potential consequences of ABI. The MDS-ABI covers twelve life domains most frequently affected by ABI and therefore helps to better recognize the consequences of ABI. In research contexts, implementation of the MDS-ABI allows for direct comparison of research findings. Future directions should be aimed at further implementation of the MDS-ABI to guide clinical decision-making and assist in identifying treatment goals specific to each healthcare setting.
Original languageEnglish
JournalNeuropsychological Rehabilitation
Early online date2022
DOIs
Publication statusE-pub ahead of print - 2022

Keywords

  • Acquired brain injury
  • Healthcare settings
  • Outcome measurement
  • Patient characteristics

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