Evidence map›Paper›PMID 40980535›Full record

ArticleArchives of rehabilitation research and clinical translation2025

Retrospective Case-Control Study on the Effect of In-Person Physical Therapy With Remote Therapeutic Monitoring on Functional Outcomes and Plan of Care Adherence Amongst Individuals With Musculoskeletal Conditions.

Timothy Marshall, Andrew Goldman, Robert Lyles, M Jake Grundstein, Negar Ahmadian, Thomas A Koc, Marc Gruner

Abstract read
In one paragraph

Article in Archives of rehabilitation research and clinical translation, 2025. 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
–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

1 citing paper in PubMed.

  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

7 authors.

Timothy MarshallIvy Rehab Network, White Plains, NY.
Andrew GoldmanIvy Rehab Network, White Plains, NY.
Robert LylesLimber Health, Bethesda, MD.
M Jake GrundsteinLimber Health, Bethesda, MD.
Negar AhmadianLimber Health, Bethesda, MD.
Thomas A KocKean University, Union, NJ.
Marc GrunerLimber Health, Bethesda, MD.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the efficacy of in-person physical therapy (PT) coupled with remote therapeutic monitoring (RTM) compared to in-person PT only on patient outcomes and care delivery. Design: A case-control study. Setting: 95 private practice physical therapy clinics. RTM is delivered at home via a mobile application. Participants: Inclusion criteria included: (1) Adults ≥18 years of age, (2) musculoskeletal diagnosis, (3) clinician-prescribed PT, (4) at least 2 outcome measures. Patients who met the inclusion criteria were enrolled in RTM. A control group was generated using 3:1 matching based on: age, sex, case type, and intake patient-reported outcome score. Three hundred and six cases for the in-person PT + RTM group (N = 306) and 918 (N = 918) controls were identified. Interventions: RTM Patients were enrolled in a home exercise program administered through a mobile application, with digital exercise therapy videos and care navigation support. Both RTM and control patients were enrolled in in-person PT. Main Outcome Measures: Achieving the discharge functional status score as measured by the binary yes/no Functional Status Benchmark. Results: A significantly greater proportion of PT + RTM patients achieved the Functional Statue Benchmark (72%) compared to the control group (63%, Conclusions: The inclusion of RTM with in-person PT facilitated better patient engagement and patient-reported outcomes compared to in-person PT only.

Indexed as

Musculoskeletal diseasesRehabilitationTechnologyTherapeutics

Identifiers

PMID40980535
PMCPMC12447196

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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.