Evidence map›Paper›PMID 39398460›Full record

ArticleAsian bioethics review2024

Wearable Devices for Long COVID: Prospects, Challenges and Options.

Hui Yun Chan

Abstract read
In one paragraph

Article in Asian bioethics review, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

1 author.

Hui Yun ChanCentre for Biomedical Ethics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.ORCID 0000-0001-6084-0261

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Post COVID-19 infections resulting in long COVID symptoms remain persistent yet neglected in healthcare priorities. Although long COVID symptoms are expected to decline after some time, many people continue to endure its debilitating effects affecting their daily lives. The diversity of characteristics amongst long COVID patients adds to the complexity of communicating personal health predicaments to healthcare providers. Recent research towards building an evidence base for long COVID with the aim of delivering responsive healthcare interventions for long COVID patients has utilised datasets generated from wearable devices. This paper examines the prospects presented by wearable devices for long COVID patients and physicians. It highlights distinct ethical and legal challenges arising from their use in practice. Several recommendations aiming to support their usage amongst long COVID patients are outlined for future research using wearable devices for long COVID treatment.

Indexed as

COVID-19Long COVIDPublic healthSensorsWearable devices

Identifiers

PMID39398460
PMCPMC11465094

What OpenQuestion holds

Textmetadata
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.