Evidence map›Paper›PMID 35377012›Full record

ArticleJournal of medical systems2022

Measurement Feedback System for Intensive Neurorehabilitation after Severe Acquired Brain Injury.

Ruud van der Veen, Jaap Oosterlaan, Mike Bos, Mara van Dooren, Işıl Düdükçü, Andries van Iperen, Linda Kooiman, Karel Nicolas, Saskia Peerdeman, Marsh Königs

Open access · hybridAbstract read
In one paragraph

Article in Journal of medical systems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 42% of its field
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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
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

10 authors at 2 institutions in 2 countries.

Ruud van der VeenEmma Neuroscience Group, Department of Pediatrics, Amsterdam Reproduction & Development, Emma Children's Hospital, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, Netherlands. r.vanderveen@amsterdamumc.nl.ORCID http://orcid.org/0000-0002-2489-0947
Jaap OosterlaanEmma Neuroscience Group, Department of Pediatrics, Amsterdam Reproduction & Development, Emma Children's Hospital, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, Netherlands.ORCID http://orcid.org/0000-0002-0218-5630
Mike BosDaan Theeuwes Center for Intensive Neurorehabilitation, Woerden, Netherlands.
Mara van DoorenDaan Theeuwes Center for Intensive Neurorehabilitation, Woerden, Netherlands.
Işıl DüdükçüDaan Theeuwes Center for Intensive Neurorehabilitation, Woerden, Netherlands.
Andries van IperenDaan Theeuwes Center for Intensive Neurorehabilitation, Woerden, Netherlands.
Linda KooimanDaan Theeuwes Center for Intensive Neurorehabilitation, Woerden, Netherlands.
Karel NicolasDaan Theeuwes Center for Intensive Neurorehabilitation, Woerden, Netherlands.
Saskia PeerdemanDepartment of Neurosurgery, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.ORCID http://orcid.org/0000-0001-5691-3210
Marsh KönigsEmma Neuroscience Group, Department of Pediatrics, Amsterdam Reproduction & Development, Emma Children's Hospital, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, Netherlands.ORCID http://orcid.org/0000-0003-0200-0445
Emma Kinderziekenhuis · NLAmsterdam University Medical Centers · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Outcome of acquired brain injury (ABI) and the potential for neurorehabilitation are subject to distinct heterogeneity between patients. Limited knowledge of the complex constellation of determinants at play interferes with the possibility to deploy precision medicine in neurorehabilitation. Measurement Feedback Systems (MFS) structure clinical data collection and deliver the measurement results as feedback to clinicians, thereby facilitating progress monitoring, promoting balanced patient-centered discussion and shared decision making. Accumulation of clinical data in the MFS also enables data-driven precision rehabilitation medicine. This article describes the development and implementation of a MFS for neurorehabilitation after ABI. The MFS consists of specialized measurement tracks which are developed together with representatives of each discipline in the multidisciplinary team. The MFS is built into a digital platform that automatically distributes measurements among clinicians, at predetermined time points during the inpatient treatment, outpatient treatment and follow-up. The results of all measurements are visualized in individual patient dashboards that are accessible for all clinicians involved in treatment. Since step-wise implementation, 124 patients have been registered on the MFS platform so far, providing an average of more than 200 new measurements per week. Currently, more than 15,000 clinical measurements are captured in the MFS. The current overall completion rate of measurements is 86,4%. This study shows that structured clinical assessment and feedback is feasible in the context of neurorehabilitation after severe ABI. The future directions are discussed for MFS data in our Health Intelligence Program, which aims at periodic care evaluation and the transition of neurorehabilitation care towards precision medicine.

Indexed as

Brain InjuriesNeurological RehabilitationFeedbackHumansAcquired brain injuryImplementationMeasurement feedback system (MFS)Precision medicine

Identifiers

PMID35377012
PMCPMC8979932
OpenAlexW4224216080

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.