Evidence mapPaperPMID 36923569Full record

ArticleERJ open research2023

Role of digital health in pulmonary rehabilitation and beyond: shaping the future.

Sara Pimenta, Henrik Hansen, Heleen Demeyer, Patrick Slevin, Joana Cruz

Abstract read
In one paragraph

Article in ERJ open research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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.

Sara PimentaCenter for Innovative Care and Health Technology (ciTechCare), Polytechnic of Leiria, Leiria, Portugal.
Henrik HansenRespiratory Research Unit, Department of Respiratory Medicine, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.
Heleen DemeyerDepartment of Rehabilitation Sciences, KU Leuven, Leuven, Belgium.
Patrick SlevinThe Insight Centre for Data Analytics, University College Dublin, Dublin, Dublin.ORCID https://orcid.org/0000-0002-8638-1400
Joana CruzCenter for Innovative Care and Health Technology (ciTechCare), Polytechnic of Leiria, Leiria, Portugal.ORCID https://orcid.org/0000-0002-4911-4469

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary rehabilitation (PR) is a cost-effective intervention with well-known benefits to exercise capacity, symptoms and quality of life in patients with chronic respiratory diseases. Despite the compelling evidence of its benefits, PR implementation is still suboptimal, and maintenance of PR benefits is challenging. To overcome these pitfalls, there has been a growing interest in developing novel models for PR delivery. Digital health is a promising solution, as it has the potential to address some of the most reported barriers to PR uptake and adherence (such as accessibility issues), help maintain the positive results following a PR programme and promote patients' adherence to a more active lifestyle through physical activity (tele)coaching. Despite the accelerated use of digital health to deliver PR during the coronavirus disease 2019 pandemic, there are still several factors that contribute to the resistance to the adoption of digital health, such as the lack of evidence on its effectiveness, low acceptability by patients and healthcare professionals, concerns about implementation and maintenance costs, inequalities in access to the internet and technological devices, and data protection issues. Nevertheless, the trend towards reducing technology costs and the higher availability of digital devices, as well as the greater ease and simplicity of use of devices, enhance the opportunities for future development of digitally enabled PR interventions. This narrative review aims to examine the current evidence on the role of digital health in the context of PR, including strengths and weaknesses, and to determine possible threats and opportunities, as well as areas for future work.

Identifiers

PMID36923569
PMCPMC10009701

What Socratic holds

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LicenceCC BY-NC
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.