Evidence map›Paper›PMID 40985556›Full record

SynthesisPhysical therapy2025

Behaviorally Informed Interventions to Promote Activity in the Home and Community for Adults With Neurological Disorders: A Systematic Review and Meta-Analysis.

Amber LaMarca, Rania Karim, Gwendolyn Larsen, Ivy Tse, Stephen Wechsler, Lynne V Gauthier, Julie Keysor

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Physical therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Amber LaMarcaRehabilitation Sciences, MGH Institute of Health Professions, Boston, MA 02129, United States.ORCID 0000-0003-0730-478X
Rania KarimDepartment of Physical Therapy Program, Massachusetts General Hospital, Institute of Health Professions, Boston, MA 02129, United States.
Gwendolyn LarsenDepartment of Physical Therapy Program, Massachusetts General Hospital, Institute of Health Professions, Boston, MA 02129, United States.
Ivy TseDepartment of Physical Therapy Program, Massachusetts General Hospital, Institute of Health Professions, Boston, MA 02129, United States.
Stephen WechslerDepartment of Physical Therapy, Simmons University, Boston, MA 02115, United States.
Lynne V GauthierDepartment of Physical Therapy and Kinesiology, University of Massachusetts Lowell, Lowell, MA 01854, United States.
Julie KeysorRehabilitation Sciences, MGH Institute of Health Professions, Boston, MA 02129, United States.

Funding

Wrist-worn Sensors for Tele-Rehabilitation of the Hemiparetic Upper-ExtremityR44HD084035 · NICHD · BIOSENSICS, LLC · PI BONATO, PAOLO, KEYSOR, JULIE J · 2015 to 2024
$4.6M
Eunice Kennedy Shriver National Institute of Child Health & Human Development of the National Institutes of Health R44 HD084035-04NICHD NIH HHS R44 HD084035
6 · The paper itself

Abstract

importancePhysical activity can improve clinical outcomes among people with neurological conditions; however, people with these conditions rarely engage in recommended levels of activity. Remote monitoring (RM) with the incorporation of behavior change strategies is purported to be an effective approach to promote increased physical activity in the home setting, however, its effectiveness in promoting activity for people with neurological conditions is unclear.

objectivesThe objectives of this review were to examine the effectiveness of behaviorally informed RM interventions on physical activity in the home and community and to identify usage and impact of specific behavior change techniques (BCTs) implemented with RM interventions. DATA SOURCES: PubMed, PsycINFO, and CINAHL were searched in March 2024. STUDY SELECTION: This study included a selection of randomized controlled trials on behaviorally informed RM interventions that use wearable sensors or digital applications to target physical activity for patients with neurological diseases. DATA EXTRACTION AND SYNTHESIS: Data extraction was performed by 2 independent reviewers and data synthesis was performed with random effects meta-analysis. BCT were classified using Michie's behavior change technique taxonomy. Promising BCTs were identified by examining the proportion of statistically significant studies for each technique. Risk of bias was assessed with the risk of bias 2 tool. MAIN OUTCOMES AND MEASURES: The main outcomes and measures included physical activity measured by self-report and accelerometers.

resultsFourteen studies were included with some concerns of bias, encompassing individuals with multiple sclerosis, stroke, Parkinson disease, and spinal cord injury. Behaviorally informed RM interventions resulted in statistically significant improvements in self-reported physical activity (SMD = 0.27, 95% CI = 0.06 to 49), but not accelerometry outcomes (SMD = 0.52, 95% CI = -0.07 to 1.11). Promising BCTs included self-monitoring, problem solving, goal setting, graded tasks, social support, and adding objects to the environment. CONCLUSIONS AND RELEVANCE: RM shows initial promise to increase physical activity of people living with neurological conditions when paired with behavior change consultation.

Indexed as

Behavior TherapyExerciseHealth PromotionNervous System DiseasesAdultHumansRandomized Controlled Trials as TopicDigital Behavior Change InterventionExerciseMeta-analysisNeurological RehabilitationPhysical ActivityRemote MonitoringSystematic Review

Identifiers

PMID40985556
PMCPMC13396788

What OpenQuestion holds

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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.