Evidence map›Paper›PMID 25782693›Full record

Trial reportNeurorehabilitation and neural repair

The HAAPI (Home Arm Assistance Progression Initiative) Trial: A Novel Robotics Delivery Approach in Stroke Rehabilitation.

Steven L Wolf, Komal Sahu, R Curtis Bay, Sharon Buchanan, Aimee Reiss, Susan Linder, Anson Rosenfeldt, Jay Alberts

Abstract readMulticenter StudyRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Neurorehabilitation and neural repair. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 21 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 21 pooled it
8.4field-weighted citation impact, top 2% of its field
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

65 citing papers in PubMed, 21 syntheses or guidelines pooled it, 128 citations in OpenAlex.

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  8. Robot-assisted distal training improves upper limb dexterity and function after stroke: a systematic review and meta-regression.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022
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  11. Serious games for upper limb rehabilitation after stroke: a meta-analysis.Journal of neuroengineering and rehabilitation · 2021
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  16. Home-based technologies for stroke rehabilitation: A systematic review.International journal of medical informatics · 2019
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  20. Tele-Rehabilitation after Stroke: An Updated Systematic Review of the Literature.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2018
    Pooled it

5 more citing papers are in PubMed but not listed here.

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

8 authors at 4 institutions in 1 country.

Steven L WolfEmory University School of Medicine, Atlanta, GA, USA Atlanta VA Medical Center, Decatur, GA, USA swolf@emory.edu.
Komal SahuEmory University School of Medicine, Atlanta, GA, USA.
R Curtis BayA. T. Still University, Mesa AZ, USA.
Sharon BuchananScottsdale Healthcare, Scottsdale, AZ, USA.
Aimee ReissEmory University School of Medicine, Atlanta, GA, USA.
Susan LinderCleveland Clinic, OH, USA.
Anson RosenfeldtCleveland Clinic, OH, USA.
Jay AlbertsCleveland Clinic, OH, USA Louis Stokes Cleveland VA Medical Center, Cleveland, OH, USA.
Cleveland Clinic · USEmory University · USA.T. Still University · USScottsdale Community College · US

Funding

An Innovative Home Stroke Rehabilitation and Monitoring SystemRC3NS070646 · NINDS · KINETIC MUSCLES, INC. · PI ALBERTS, JAY L., KOENEMAN, JAMES B · 2010 to 2010
$2.7M
NINDS NIH HHS RC3 NS070646NINDS NIH HHS RC3NS070646
6 · The paper itself

Abstract

backgroundGeographical location, socioeconomic status, and logistics surrounding transportation impede access of poststroke individuals to comprehensive rehabilitative services. Robotic therapy may enhance telerehabilitation by delivering consistent and state-of-the art therapy while allowing remote monitoring and adjusting therapy for underserved populations. The Hand Mentor Pro (HMP) was incorporated within a home exercise program (HEP) to improve upper-extremity (UE) functional capabilities poststroke.

objectiveTo determine the efficacy of a home-based telemonitored robotic-assisted therapy as part of a HEP compared with a dose-matched HEP-only intervention among individuals less than 6 months poststroke and characterized as underserved.

methodsIn this prospective, single-blinded, multisite, randomized controlled trial, 99 hemiparetic participants with limited access to UE rehabilitation were randomized to either (1) the experimental group, which received combined HEP and HMP for 3 h/d ×5 days ×8 weeks, or (2) the control group, which received HEP only at an identical dosage. Weekly communication between the supervising therapist and participant promoted compliance and progression of the HEP and HMP prescription. The Action Research Arm Test and Wolf Motor Function Test along with the Fugl-Meyer Assessment (UE) were primary and secondary outcome measures, respectively, undertaken before and after the interventions.

resultsBoth groups demonstrated improvement across all UE outcomes.

conclusionsRobotic + HEP and HEP only were both effectively delivered remotely. There was no difference between groups in change in motor function over time. Additional research is necessary to determine the appropriate dosage of HMP and HEP.

Indexed as

RoboticsStroke RehabilitationAdultAgedAge FactorsArmExercise TherapyFemaleHumansMaleMental Status ScheduleMiddle AgedParesisProspective StudiesRetrospective StudiesSeverity of Illness Indexhemiparesisroboticsstroketelerehabilitationtherapyupper extremity

Identifiers

PMID25782693
PMCPMC4573760
OpenAlexW2092109890

What OpenQuestion holds

Textmetadata
LicenceTDM
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.