Evidence map›Paper›PMID 36968173›Full record

ArticleArchives of rehabilitation research and clinical translation2023

Deploying Digital Health Technologies for Remote Physical Activity Monitoring of Rural Populations With Chronic Neurologic Disease.

Kimberly J Waddell, Mitesh S Patel, Jayne R Wilkinson, Robert E Burke, Dawn M Bravata, Sreelatha Koganti, Stephanie Wood, James F Morley

Open access · goldAbstract read
In one paragraph

Article in Archives of rehabilitation research and clinical translation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Rural community engagement and cultural considerations in the design and deployment of remote health monitoring systems: A scoping review.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2026
    Article
  4. Article
  5. 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

8 authors at 3 institutions in 1 country.

Kimberly J WaddellCorporal Michael J. Crescenz VA Medical Center, Philadelphia, PA.
Mitesh S PatelAscension, St. Louis, MO.
Jayne R WilkinsonCorporal Michael J. Crescenz VA Medical Center, Philadelphia, PA.
Robert E BurkeCorporal Michael J. Crescenz VA Medical Center, Philadelphia, PA.
Dawn M BravataVA HSR&D Center for Health Information and Communication (CHIC); Richard L. Roudebush VA Medical Center, Indianapolis, IN.
Sreelatha KogantiCorporal Michael J. Crescenz VA Medical Center, Philadelphia, PA.
Stephanie WoodCorporal Michael J. Crescenz VA Medical Center, Philadelphia, PA.
James F MorleyCorporal Michael J. Crescenz VA Medical Center, Philadelphia, PA.
Philadelphia VA Medical Center · USAscension · USRegenstrief Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The objective of this pilot study was to examine the feasibility of a remote physical activity monitoring program, quantify baseline activity levels, and examine predictors of activity among rurally residing adults with Parkinson disease (PD) or stroke. Design: Thirty-day observational study. Participants completed standardized assessments, connected a wearable device, and synced daily step counts via a remote monitoring platform. Setting: Community-based remote monitoring. Participants: Rurally residing adults with PD or stroke enrolled in the Veterans Health Administration. Intervention: N/A. Main Outcome Measures: Feasibility was evaluated using recruitment data (response rates), study completion (completed assessments and connected the wearable device), and device adherence (days recording ≥100 steps). Daily step counts were examined descriptively. Predictors of daily steps were explored across the full sample, then by diagnosis, using linear mixed-effects regression analyses. Results: Forty participants (n=20 PD; n=20 stroke) were included in the analysis with a mean (SD) age of 72.9 (7.6) years. Participants resided 252.6 (105.6) miles from the coordinating site. Recruitment response rates were 11% (PD) and 6% (stroke). Study completion rates were 71% (PD) and 80% (stroke). Device adherence rates were 97.0% (PD) and 95.2% (stroke). Participants with PD achieved a median [interquartile range] of 2618 [3896] steps per day and participants with stroke achieved 4832 [7383] steps. Age was the only significant predictor of daily steps for the full sample (-265 steps, 95% confidence interval [-407, -123]) and by diagnosis (PD, -175 steps, [-335, -15]; stroke, -357 steps [-603, -112]). Conclusions: A remote physical activity monitoring program for rurally residing individuals with PD or stroke was feasible. This study establishes a model for a scalable physical activity program for rural, older populations with neurologic conditions from a central coordinating site.

Indexed as

ExerciseParkinson diseaseRehabilitationRural healthStrokeTelemedicineWearable electronic devices

Identifiers

PMID36968173
PMCPMC10036227
OpenAlexW4310719724

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.