Evidence map›Paper›PMID 42919177›Full record

ArticleBMC musculoskeletal disorders2026

Implementation, feasibility and optimization of a web- and mobile-supported semi-automated shoulder rehabilitation system (WMSSR): a prospective consecutive interventional cohort study.

Lorena Castaño, José Sanz, Iban Latasa, Igor Setuain

Registry-linked trialAbstract read
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In one paragraph

Article in BMC musculoskeletal disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07301671 (Prospective Longitudinal Observational Cohort Study of a Digital Automated Rehabilitation Model for Shoulder Disorders), which is not on this map. Not yet cited in PubMed.

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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.

NCT07301671 completednot on this map

Prospective Longitudinal Observational Cohort Study of a Digital Automated Rehabilitation Model for Shoulder Disorders (REHABI) in a Private Physiotherapy Clinic

TypeobservationalSponsorUniversidad Pública de NavarraRan2025 to 2025Enrolled129ConditionsDigital Shoulder Rehabilitation
3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Lorena CastañoI+D+i, TDN Clínica Traumatología y Rehabilitación SLP, Talluntxe II Industrial Park, Noáin, Navarra, 31110, Spain. lcastano@tdnclinica.es.
José SanzDepartment of Statistics, Computer Science and Mathematics, Public University of Navarre (UPNA), Campus de Arrosadía, Los Pinos Building, Office 2011, Pamplona, Navarra, 31006, Spain.
Iban LatasaDepartment of Statistics, Computer Science and Mathematics, Public University of Navarre (UPNA), Campus de Arrosadía, Los Pinos Building, Office 2011, Pamplona, Navarra, 31006, Spain.
Igor SetuainI+D+i, TDN Clínica Traumatología y Rehabilitación SLP, Talluntxe II Industrial Park, Noáin, Navarra, 31110, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundShoulder disorders are common and cause pain and functional limitation. Conventional rehabilitation is often hindered by variable assessment, high therapist time demands, and inconsistent adherence. Digital rehabilitation models may reduce variability by standardizing data capture and linking quantified deficits to exercise prescription. However, evidence from routine clinical practice on digitally supported and semi-automated assessment-to-prescription workflows remains limited. This study assessed the feasibility and optimization of a web- and mobile-supported semi-automated shoulder rehabilitation system (WMSSR).

methodsWe implemented WMSSR in a prospective descriptive longitudinal interventional study conducted in routine clinical practice, without randomization or a control group. Between March and September 2025, 129 consecutive patients with non-traumatic shoulder pain or dysfunction persisting for more than 3 months were included. WMSSR standardized data collection and individualized exercise prescription based on 24 clinical tests grouped into eight functional clusters. The primary outcome was change in total clinical deficit score from baseline to discharge, analyzed using paired t tests, 95% confidence intervals, and effect sizes, with nonparametric sensitivity analysis. To optimize the assessment battery, tests were ranked using baseline deficit prevalence and magnitude together with responsiveness indices (SRM) and within-subject effect size metrics (paired Cohen's d₍z₎ and Wilcoxon r). False discovery rate was controlled using the Benjamini-Hochberg procedure.

resultsThe mean total deficit score decreased from 15.4 ± 5.6 at baseline to 1.6 ± 1.2 points at discharge (mean change 13.8 ± 5.5; ≈89% reduction; 95% CI 12.83-14.75; effect size d₍z₎ = 2.513; p < 0.001), consistent across parametric and nonparametric sensitivity analysis. Composite shoulder pain decreased from 4.5 ± 1.6 to 0.4 ± 0.6 on a 0-10 visual analog scale. Episodes were discharged after a mean of 84.9 ± 42.0 days (≈ 2.8 months). Test-battery optimization integrating baseline deficit prevalence and magnitude and responsiveness identified a reduced 11-test battery with high baseline prevalence and large responsiveness indices.

conclusionsIn this single-center prospective descriptive longitudinal interventional study, the web- and mobile-supported WMSSR workflow was feasible to implement in a supervised routine-care setting and was associated with substantial within-episode clinical improvement among patients with non-traumatic shoulder pain or dysfunction who completed the rehabilitation episode.

trial registrationThe study protocol was registered at ClinicalTrials.gov (NCT07301671), retrospectively registered on 26/11/2025.

Indexed as

Exercise TherapyInternetMobile ApplicationsShoulder PainAdultAgedFeasibility StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedProspective StudiesTreatment OutcomeClinical decision supportClinical implementationDigital physiotherapyFunctional assessmentResponsiveness (SRM)Shoulder rehabilitation

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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.