Evidence map›Paper›PMID 34773071›Full record

ArticleNPJ digital medicine2021

Mobile devices and wearable technology for measuring patient outcomes after surgery: a systematic review.

Stephen R Knight, Nathan Ng, Athanasios Tsanas, Kenneth Mclean, Claudia Pagliari, Ewen M Harrison

Open access · goldAbstract read
In one paragraph

Article in NPJ digital medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 pooled it
7.8field-weighted citation impact, top 2% of its field
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

41 citing papers in PubMed, 2 syntheses or guidelines pooled it, 81 citations in OpenAlex.

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  6. Beyond one-time PROMs: high-frequency single-item mobile ePROM tracking of postoperative recovery in spine surgery-a prospective feasibility study.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
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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

6 authors at 2 institutions in 1 country.

Stephen R KnightSurgical Informatics, Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, UK. stephenknight@doctors.org.uk.ORCID http://orcid.org/0000-0003-0448-3719
Nathan NgSchool of Medicine, University of Edinburgh, Edinburgh, United Kingdom.
Athanasios TsanasUsher Institute, University of Edinburgh, Edinburgh, United Kingdom.
Kenneth McleanSurgical Informatics, Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, UK.
Claudia PagliariUsher Institute, University of Edinburgh, Edinburgh, United Kingdom.ORCID http://orcid.org/0000-0001-5791-7723
Ewen M HarrisonSurgical Informatics, Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, UK.
University of Edinburgh · GBThe Queen's Medical Research Institute · GB

Funding

DH | National Institute for Health Research (NIHR) NIHR 17-0799
6 · The paper itself

Abstract

Complications following surgery are common and frequently occur the following discharge. Mobile and wearable digital health interventions (DHI) provide an opportunity to monitor and support patients during their postoperative recovery. Lack of high-quality evidence is often cited as a barrier to DHI implementation. This review captures and appraises the current use, evidence base and reporting quality of mobile and wearable DHI following surgery. Keyword searches were performed within Embase, Cochrane Library, Web of Science and WHO Global Index Medicus databases, together with clinical trial registries and Google scholar. Studies involving patients undergoing any surgery requiring skin incision where postoperative outcomes were measured using a DHI following hospital discharge were included, with DHI defined as mobile and wireless technologies for health to improve health system efficiency and health outcomes. Methodological reporting quality was determined using the validated mobile health evidence reporting and assessment (mERA) guidelines. Bias was assessed using the Cochrane Collaboration tool for randomised studies or MINORS depending on study type. Overall, 6969 articles were screened, with 44 articles included. The majority (n = 34) described small prospective study designs, with a high risk of bias demonstrated. Reporting standards were suboptimal across all domains, particularly in relation to data security, prior patient engagement and cost analysis. Despite the potential of DHI to improve postoperative patient care, current progress is severely restricted by limitations in methodological reporting. There is an urgent need to improve reporting for DHI following surgery to identify patient benefit, promote reproducibility and encourage sustainability.

Identifiers

PMID34773071
PMCPMC8590052
OpenAlexW3213965463

What OpenQuestion 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 OpenQuestion graph.