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The effects of a mobile app-delivered intervention in people with symptomatic hand osteoarthritis: a pragmatic randomized controlled trial

2023· article· en· W4315703178 on OpenAlexaboutno aff
Pablo Rodríguez Sánchez-Laulhé, Ángela Biscarri-Carbonero, Alejandro Suero-Pineda, Luis Gabriel Luque Romero, Francisco J. BARRERO GARCÍA, Jesús Blanquero, Alberto Marcos Heredia‐Rizo

Bibliographic record

VenueEuropean Journal of Physical and Rehabilitation Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRandomized controlled trialPhysical therapyGrip strengthPsychological interventionPopulationOsteoarthritisPhysical medicine and rehabilitationSurgeryAlternative medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Exercise therapy, self-management and education are recommended interventions for hand osteoarthritis (OA), but new delivery systems are needed to solve lack of adherence. AIM: To determine the effects on hand function and pain related measures of a mobile app-delivered intervention, compared with usual care, in patients with symptomatic hand OA. DESIGN: A pragmatic, multicenter, two-group parallel randomized controlled trial. SETTING: Community health centers in rural southern Spain. POPULATION: Eighty-three participants with unilateral or bilateral symptomatic hand OA were proposed to participate, and finally 74 were included and randomized. METHODS: Participants received a home multimodal treatment (exercise, education, and self-management recommendations) with the CareHand mobile app or usual care (written exercises) over 12 weeks. Monthly telephone calls were performed to monitor adherence. The primary outcome was hand physical function (Australian/Canadian Hand Osteoarthritis Index, AUSCAN) at 3- and 6-months. Secondary measures included hand pain intensity and morning stiffness, upper limb function, hand dexterity, and grip and pinch strength. RESULTS: The CareHand group showed significant within-group changes in hand function at 6-months (-3.0, 95% CI -5.1 to -0.9 vs. usual care: -0.9, 95% CI -3.3 to 1.5). Neither group showed improvements in hand function at 3-months (CareHand: -1.5, 95% CI -3.1 to 0.1; usual care: -0.5, 95% CI -2.7 to 1.7). For the secondary outcomes, the CareHand group showed better results on upper limb function both at 3- and 6-months, and on pain both at 1- and 3-months compared to usual care group. Linear regression models indicated that baseline scores of pain intensity, hand status, and upper limb function were associated with a greater improvement in hand pain and physical function. CONCLUSIONS: A mobile app-delivered intervention is effective for improving hand function, and better than usual care for upper limb function and pain. Further research is warranted to understand the impact of mobile health (mHealth) in people with hand OA. CLINICAL REHABILITATION IMPACT: mHealth interventions are a feasible and secure multimodal delivery approach in older adults with hand OA in rural primary care setting. Baseline pain and upper limb function might predict functional hand outcomes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.349

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.003
GPT teacher head0.236
Teacher spread0.234 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations25
Published2023
Admission routes1
Has abstractyes

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