Evidence map›Paper›PMID 39990547›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Evaluation of an Integrated Digital and Mobile Intervention for COPD Exacerbation.

Laurel O'Connor, Biqi Wang, Zehao Ye, Stephanie Behar, Seanan Tarrant, Pamela Stamegna, Caitlin Pretz, Apurv Soni

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Laurel O'ConnorProgram in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.ORCID 0000-0003-4681-992X
Biqi WangProgram in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Zehao YeDivision of Health System Science, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Stephanie BeharProgram in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Seanan TarrantProgram in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Pamela StamegnaProgram in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Caitlin PretzProgram in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Apurv SoniProgram in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.ORCID 0000-0001-5049-3657

Funding

University of Massachusetts Center for Clinical Science and Translational SupplementUL1TR001453 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LUZURIAGA, KATHERINE F · 2015 to 2024
$39.0M
University of Pittsburgh Clinical and Translational Science InstituteTL1TR000145 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$872k
NCATS NIH HHS TL1 TR000145NCATS NIH HHS UL1 TR001453
6 · The paper itself

Abstract

Background: Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and healthcare utilization, with frequent exacerbations contributing to emergency department visits and hospitalizations. This study evaluates a multimodal, community-based digital health intervention's association with changes in acute care utilization among patients with COPD to develop preliminary estimates of intervention effects. Methods: In this decentralized, nonrandomized pilot clinical trial, participants with moderate to severe COPD were offered biometric monitoring, symptom tracking, on-demand MIH services, and a digital pulmonary rehabilitation program. Outcomes were compared between intervention participants and a weighted synthetic control group using full optimal matching. Weighted odds ratios derived from regression models were used to estimate intervention effect size. The primary outcome was hospitalization during the study period. Secondary outcomes included 30 and 90-day readmission rates, emergency department visits, and hospital length of stay. Results: In total, 88 participants from the intervention arm (mean age 67, 50% female) were compared to a weighted synthetic control of 14,492 participants (weighted mean age 66, 48.7% female). We observed that participants in the intervention arm had a trend toward decreased hospitalization with an OR of 0.69 (CI 0.44-1.03, p=0.066). The intervention was also associated with 61% decreased odds of 30-day readmission after an index admission compared to controls (OR: 0.39, 95% CI: 0.16-0.95, p = 0.04). Trends toward reductions in ED visits and hospital length of stay were also observed. Conclusions: A combined digital and mobile health approach to COPD management was associated with reductions in acute care utilization. These findings support further investigation into hybrid care models to enhance COPD self-management and improve patient outcomes. Future research should evaluate scalability, cost-effectiveness, and long-term clinical impact.

Identifiers

PMID39990547
PMCPMC11844591

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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.