Evidence map›Paper›PMID 34355134›Full record

ArticleJAMIA open2021

Implementation of a mHealth solution to remotely monitor patients on a cardiac surgical waiting list: service evaluation.

Bernard Dillon Obika, Nikola Dolezova, Sonia Ponzo, Sophie Valentine, Sachin Shah, Jonathan Gledhill, David Plans, Conor Nicholson, Cathy Walters, Laura Stephen and 7 more

Abstract read
In one paragraph

Article in JAMIA open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

17 authors.

Bernard Dillon ObikaResearch and Development Department, Huma Therapeutics Limited, London, UK.
Nikola DolezovaResearch and Development Department, Huma Therapeutics Limited, London, UK.
Sonia PonzoResearch and Development Department, Huma Therapeutics Limited, London, UK.
Sophie ValentineResearch and Development Department, Huma Therapeutics Limited, London, UK.
Sachin ShahResearch and Development Department, Huma Therapeutics Limited, London, UK.
Jonathan GledhillResearch and Development Department, Huma Therapeutics Limited, London, UK.
David PlansResearch and Development Department, Huma Therapeutics Limited, London, UK.ORCID https://orcid.org/0000-0002-0476-3342
Conor NicholsonResearch and Development Department, Huma Therapeutics Limited, London, UK.
Cathy WaltersRoyal Brompton and Harefield Clinical Group, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Laura StephenRoyal Brompton and Harefield Clinical Group, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Serena NgRoyal Brompton and Harefield Clinical Group, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Janet AyresRoyal Brompton and Harefield Clinical Group, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Mario PetrouRoyal Brompton and Harefield Clinical Group, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Sunil BhudiaRoyal Brompton and Harefield Clinical Group, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Clare DennyRoyal Brompton and Harefield Clinical Group, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Hillary SchrauwersRoyal Brompton and Harefield Clinical Group, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Vias MarkidesRoyal Brompton and Harefield Clinical Group, Guy's and St Thomas' NHS Foundation Trust, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe emergence of COVID-19 resulted in postponement of nonemergent surgical procedures for cardiac patients in London. mHealth represented a potentially viable mechanism for highlighting deteriorating patients on the lengthened cardiac surgical waiting lists.

objectiveTo evaluate the deployment of a digital health solution to support continuous triaging of patients on a cardiac surgical waiting list.

methodAn NHS trust utilized an app-based mHealth solution (Huma Therapeutics) to help gather vital information on patients awaiting cardiac surgery (valvular and coronary surgery). Patients at a tertiary cardiac center on a waiting list for elective surgery were given the option to be monitored remotely via a mobile app until their date of surgery. Patients were asked to enter their symptoms once a week. The clinical team monitored this information remotely, prompting intervention for those patients who needed it.

resultsFive hundred and twenty-five patients were on boarded onto the app. Of the 525 patients using the solution, 51 (9.71%) were identified as at risk of deteriorating based on data captured via the remote patient monitoring platform and subsequently escalated to their respective consultant. 81.7% of patients input at least one symptom after they were on boarded on the platform. DISCUSSION: Although not a generalizable study, this change in practice clearly demonstrates the feasibility and potential benefit digital remote patient monitoring can have in triaging large surgical wait lists, ensuring those that need care urgently receive it. We recommend further study into the potential beneficial outcomes from preoperative cardiac mHealth solutions.

Indexed as

cardiac surgerymHealthmobile phoneremote patient monitoringsmartphonetelemedicinetriagewaiting list

Identifiers

PMID34355134
PMCPMC8331328

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Registered trials

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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.