Evidence map›Paper›PMID 41710266›Full record

ReviewFrontiers in digital health2026

Using wearable and nearable devices in telerehabilitation for COPD: a scoping review of digital endpoints in home-based programs.

Stephanie Zawada, Louis Faust, Caden Collins, Moein Enayati, Roberto Benzo, Emma Fortune

Abstract readReview
In one paragraph

Review in Frontiers in digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Stephanie ZawadaRobert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, United States.
Louis FaustRobert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, United States.
Caden CollinsDepartment of Neurology, Mayo Clinic, Scottsdale, AZ, United States.
Moein EnayatiMayo Clinic Platform, Rochester, MN, United States.
Roberto BenzoDivision of Pulmonary and Critical Care Medicine, Mayo Clinic Mindful Breathing Laboratory, Rochester, MN, United States.
Emma FortuneRobert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, United States.

Funding

Home Based Rehabilitation for COPDR01HL140486 · NHLBI · MAYO CLINIC ROCHESTER · PI BENZO, ROBERTO PABLO · 2018 to 2022
$3.4M
The Impact of Underlying Behavioral Mechanisms on a Home-Based Pulmonary Rehabilitation ProgramR56HL173214 · NHLBI · MAYO CLINIC ROCHESTER · PI FORTUNE, EMMA · 2024 to 2024
$477k
NHLBI NIH HHS R01 HL140486NHLBI NIH HHS R56 HL173214
6 · The paper itself

Abstract

Introduction: Despite its demonstrated effectiveness at improving outcomes, pulmonary rehabilitation (PR) for chronic obstructive pulmonary disease (COPD) is underutilized. Sensor-generated data from wearable devices have the potential to mitigate this challenge by generating digital endpoints that provide insights into patient behaviors at home; however, there is no consensus on how to measure home-based PR (HBPR) outcomes with these tools. This review aims to describe (1) the most frequent digital endpoints used in HBPR studies and (2) the devices used to capture these endpoints, summarizing gaps in their applications to HBPR for COPD patients. Methods: We completed a scoping review using the PRISMA checklist across databases (Web of Science, Scopus, and OVID) from January 1, 2005 to June 1, 2025. We included peer-reviewed articles on HBPR for COPD, excluding reviews, commentaries/editorials, poster abstracts, and conference proceedings. Eligible articles included cohort studies and clinical trials of adult patients (age ≥ 18 years) with COPD participating in HBPR that include one or more digital endpoints. Results: Among eligible articles ( Discussion: Although we identified analogous digital endpoints in some studies, dissimilar methods and study designs remain barriers to synthesizing results generated from HBPR programs for COPD. Wearable devices have the potential to build novel PR models, but more work is needed to translate real-world data into clinically meaningful measures. Future research should elucidate which participants would benefit most from and complete HBPR to build an evidence base for the validation of HBPR-relevant digital endpoints, particularly those derived from less common sources like cardiovascular and sleep measures.

Indexed as

COPDdigital endpointpulmonary rehabilitationremote monitoringwearable sensors

Identifiers

PMID41710266
PMCPMC12909527

What Socratic holds

Textmetadata
LicenceCC BY
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.