Evidence map›Paper›PMID 38402128›Full record

ReviewThe Lancet. Digital health2024

Remote digital health technologies for improving the care of people with respiratory disorders.

Jessilyn Dunn, Andrea Coravos, Manuel Fanarjian, Geoffrey S Ginsburg, Steven R Steinhubl

Abstract readReview
In one paragraph

Review in The Lancet. Digital health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Trial
  2. Article
  3. Accuracy of VOMayo Clinic proceedings. Digital health · 2026
    Article
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  16. Review
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  19. Observational
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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

5 authors.

Jessilyn DunnBiomedical Engineering Department, Duke University, Durham, NC, USA.
Andrea CoravosHumanFirst, San Francisco, CA, USA.
Manuel FanarjianHarvard Medical School, Harvard University, Boston, MA, USA.
Geoffrey S GinsburgDepartment of Medicine, Duke University, Durham, NC, USA; All of Us Research Program, National Institutes of Health, Bethesda, MD, USA.
Steven R SteinhublWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA. Electronic address: ssteinhu@purdue.edu.

Funding

Intramural NIH HHS Z99 OD999999
6 · The paper itself

Abstract

Respiratory diseases are a leading cause of morbidity and mortality globally. However, existing systems of care, built around scheduled appointments, are not well designed to support the needs of people with chronic and acute respiratory conditions that can change rapidly and unexpectedly. Home-based and personal digital health technologies (DHTs) allow implementation of new models of care catering to the unique needs of individuals. The high number of respiratory triggers and unique responses to them require a personalised solution for each patient. The real-world, repetitive monitoring capabilities of DHTs enable identification of the normal operating characteristics for each individual and, therefore, recognition of the earliest deviations from that state. However, despite this potential, the number of clinical efficacy studies of DHTs is quite small. Evaluation of clinical effectiveness of DHTs in improving health quality in real-world settings is urgently needed.

Indexed as

Digital HealthRespiratory Tract DiseasesHumans

Identifiers

PMID38402128
PMCPMC10960683

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.