Evidence map›Paper›PMID 34184001›Full record

Article...IEEE...International Conference on Connected Health: Applications, Systems and Engineering Technologies. IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies2020

Remote Rehabilitation: A Field-Based Feasibility Study of an mHealth Resistance Exercise Band.

Curtis L Petersen, Colin M Minor, Suehayla Mohieldin, Linda G Park, Ryan J Halter, John A Batsis

Open access · greenAbstract read
In one paragraph

Article in ...IEEE...International Conference on Connected Health: Applications, Systems and Engineering Technologies. IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

6 authors at 3 institutions in 1 country.

Curtis L PetersenGeisel School of Medicine, Dartmouth College, Hanover, USA.
Colin M MinorThayer School of Engineering, Dartmouth College, Hanover, USA.
Suehayla MohieldinThayer School of Engineering, Dartmouth College, Hanover, USA.
Linda G ParkDepartment of Community Health Systems, University of California, San Francisco, USA.
Ryan J HalterThayer School of Engeering, Dartmouth College, Hanover, USA.
John A BatsisDepartment of Medicine, University of North Carolina, Chapel Hill, USA.
Dartmouth College · USUniversity of California, San Francisco · USUniversity of North Carolina at Chapel Hill · US

Funding

Treatment Development & Evaluation CoreP30DA029926 · NIDA · DARTMOUTH COLLEGE · PI Lisa A. Marsch · 2011 to 2026
$21.5M
Mobile Health Obesity Wellness Intervention in Rural Older Adults_Res1K23AG051681 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BATSIS, JOHN A. · 2016 to 2022
$1.1M
BandPass: A Remote Monitoring System for Sarcopenia and Functional DeclineR41AG071290 · NIA · SYNCHROHEALTH LLC · PI HALTER, RYAN JOSEPH · 2021 to 2021
$225k
NIA NIH HHS K23 AG051681NIA NIH HHS R41 AG071290NIDA NIH HHS P30 DA029926Wellcome Trust
6 · The paper itself

Abstract

Sarcopenia is the age-related loss of muscle mass and strength that is associated with adverse health outcomes. Resistance-based exercises are effective for mitigation and enhancement of strength; however, adherence is low and challenging to measure when patients are at home. In a single-arm, pilot study of seven older adults, we conducted a field-based usability study evaluating the feasibility and acceptability of using a system consisting of a Bluetooth-connected resistance exercise band and tablet-based app which together we call BandPass in completing four different home-based exercises. The system measured a total of 147 exercises by participants with a mean duration of 94±66 seconds, completing an average of 30±20 repetitions. Though not all patients completed each exercise type, patients were positive about use: patient activation measure: 80.7±14; system usability scale: 6.9±2.9; and confidence in use: 7.7±2.7. The BandPass system demonstrated its ability to collect data on exercise type, force during an exercise, and duration of exercise when older adults use it for monitoring exercise at home.

Indexed as

appmHealthphysical functionphysical therapyremote medical sensingsarcopenia

Identifiers

PMID34184001
PMCPMC8234905
OpenAlexW3127882471

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.