Evidence map›Paper›PMID 41158032›Full record

Observational studyJournal of rehabilitation medicine2025

Optimizing the clinical functioning information tool (ClinFIT) in routine clinical practice: development of functional staging cutoff scores for rehabilitation provision and intensity.

Bhasker Amatya, Adrian Martinez De la Torre, Masahiko Mukaino, Krystal Song, Melissa Selb, Gerold Stucki, Khan Fary

Abstract readObservational Study
In one paragraph

Observational study in Journal of rehabilitation medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Bhasker AmatyaDepartment of Rehabilitation Medicine, Royal Melbourne Hospital, Parkville, Victoria, Australia; Department of Medicine (Royal Melbourne Hospital), University of Melbourne, Parkville, Victoria, Australia; Australian Rehabilitation Research Centre, Royal Melbourne Hospital, Parkville, Victoria, Australia; Peter MacCallum Cancer Center, Parkville, Victoria, Australia. bhasker.amatya@mh.org.au.ORCID 0000-0003-4793-1104
Adrian Martinez De la TorreFaculty of Health Sciences and Medicine, University of Lucerne, Lucerne, Switzerland; Swiss Paraplegic Research, Nottwil, Switzerland.
Masahiko MukainoDepartment of Rehabilitation, Hokkaido University Hospital, Sapporo, Japan.
Krystal SongDepartment of Rehabilitation Medicine, Royal Melbourne Hospital, Parkville, Victoria, Australia; Department of Medicine (Royal Melbourne Hospital), University of Melbourne, Parkville, Victoria, Australia; Australian Rehabilitation Research Centre, Royal Melbourne Hospital, Parkville, Victoria, Australia.
Melissa SelbSwiss Paraplegic Research, Nottwil, Switzerland; ICF Research Branch, Nottwil, Switzerland.
Gerold StuckiFaculty of Health Sciences and Medicine, University of Lucerne, Lucerne, Switzerland; Swiss Paraplegic Research, Nottwil, Switzerland; ICF Research Branch, Nottwil, Switzerland; Center for Rehabilitation in Global Health Systems, University of Lucerne, Lucerne, Switzerland.
Khan FaryDepartment of Rehabilitation Medicine, Royal Melbourne Hospital, Parkville, Victoria, Australia; Department of Medicine (Royal Melbourne Hospital), University of Melbourne, Parkville, Victoria, Australia; Australian Rehabilitation Research Centre, Royal Melbourne Hospital, Parkville, Victoria, Australia; Peter MacCallum Cancer Center, Parkville, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop data-driven functional staging cutoff scores for the Clinical Functioning Information Tool (ClinFIT) total raw score to stratify patients according to rehabilitation provision and intensity.

methodsThis observational study included adult inpatients (n = 270) admitted to a tertiary rehabilitation unit. ClinFIT total scores at admission were analysed alongside the Therapy Disciplines domain of the Rehabilitation Complexity Scale to represent rehabilitation intensity. Receiver Operating Characteristic analysis was used to identify optimal cutoff points distinguishing between levels of rehabilitation intensity. Subgroup analyses were conducted by age, sex, and diagnosis.

resultsParticipants were predominantly male (54.1%), with a mean age of 62.9 ± 14.3 years. ClinFIT total raw scores improved significantly across all health conditions at discharge compared with admission (p < 0.001), reflecting substantial functional recovery during inpatient rehabilitation. Two ClinFIT total score cutoffs were identified: 135 (light vs moderate) and 192 (moderate vs high intensity), with acceptable discriminatory performance (AUCs: 0.720, 0.748, respectively). Subgroup analyses supported the robustness of this 3-level staging system across demographic and diagnostic groups.

conclusionThis study provides evidence-based cutoff scores for ClinFIT, supporting its clinical use for stratifying rehabilitation provision and intensity. These findings may enhance clinical decision-making, optimize resource allocation, and promote wider adoption of the ClinFIT. Further validation in external and diverse populations is warranted.

Indexed as

Disability EvaluationAdultAgedFemaleHumansMaleMiddle AgedRecovery of FunctionRehabilitation CentersROC Curve

Identifiers

PMID41158032
PMCPMC12584019

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.