Evidence map›Paper›PMID 40089892›Full record

ArticlePhysical therapy2025

The Case for Aggregated Rehabilitation-Relevant Data Across Health Care Systems and Settings.

Margaret A French, Joshua K Johnson, Jacob Kean, Janet K Freburger, Daniel L Young

Abstract read
In one paragraph

Article in Physical therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Collaborative AI for precision neurorehabilitation: a roadmap.Journal of neuroengineering and rehabilitation · 2025
    Review
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

5 authors.

Margaret A FrenchDepartment of Physical Therapy and Athletic Training, University of Utah, Salt Lake City, UT, United States.ORCID 0000-0002-3581-7374
Joshua K JohnsonDivision of Physical Therapy, Department of Orthopaedic Surgery, Duke University, Durham, NC, United States.ORCID 0000-0001-7077-232X
Jacob KeanDepartment of Population Health Sciences, University of Utah, Salt Lake City, UT, United States.
Janet K FreburgerDepartment of Physical Therapy, University of Pittsburgh, Pittsburgh, PA, United States.
Daniel L YoungDepartment of Physical Therapy, University of Nevada, Las Vegas, NV, United States.ORCID 0000-0002-3575-6049

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health care value, quantified as outcome per unit cost, requires knowing which outcomes are influenced by which intervention at what cost. The value of rehabilitation is still largely unknown. Much of the reason for this limited evidence is historically poor standardization and collection of rehabilitation interventions, and objectively measured outcomes across care settings, care providers, and health care systems. The purposeful standardization and aggregation of rehabilitation-relevant data about interventions, cost, and outcomes from routine clinical practices offers potential to understand and improve the value of rehabilitation. This perspective details the critical need for rehabilitation-relevant data that are aggregated across settings, providers, and systems and proposes 3 options to meet this need, including (1) integrating rehabilitation-relevant data into existing research registry databases that are condition specific, (2) adding rehabilitation-relevant data to federally funded research networks, and (3) creating a novel rehabilitation registry database. There must be continued pursuit of discovering which rehabilitation interventions achieve which specific outcomes, in which settings, for which patients, and at what costs. Successfully aggregating rehabilitation-relevant data is critical for generating evidence that answers these key questions about the value of rehabilitation.

Indexed as

Delivery of Health CareOutcome Assessment, Health CareRehabilitationDatabases, FactualHumansRegistriesData CollectionMedical InformaticsMedical Records Systems: ComputerizedOutcome Assessment (Health Care)Rehabilitation

Identifiers

PMID40089892
PMCPMC11970895

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.