Evidence map›Paper›PMID 35383570›Full record

ArticleJMIR research protocols2022

Measuring Patient Compliance With Remote Monitoring Following Discharge From Hospital After Major Surgery (DREAMPath): Protocol for a Prospective Observational Study.

Pramit Khetrapal, Ronnie Stafford, Pádraig Ó Scanaill, Huriye Kocadag, Constantinos Timinis, Angela H L Chang, Adamos Hadjivasiliou, Yansong Liu, Olivia Gibbs, Eleanor Pickford and 8 more

Abstract read
In one paragraph

Article in JMIR research protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

18 authors.

Pramit KhetrapalUniversity College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-8769-5797
Ronnie StaffordUniversity College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-8614-9276
Pádraig Ó ScanaillUniversity College London Hospital, London, United Kingdom.ORCID https://orcid.org/0000-0001-8617-3372
Huriye KocadagUniversity College London Hospital, London, United Kingdom.ORCID https://orcid.org/0000-0002-8897-5640
Constantinos TiminisUniversity College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-4738-119X
Angela H L ChangUniversity College London Hospital, London, United Kingdom.ORCID https://orcid.org/0000-0002-2894-0577
Adamos HadjivasiliouUniversity College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-2069-9499
Yansong LiuUniversity College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-9618-5243
Olivia GibbsUniversity College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-7681-4041
Eleanor PickfordUniversity College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-1024-6341
David WalkerUniversity College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-7140-6855
Hilary BakerUniversity College London Hospital, London, United Kingdom.ORCID https://orcid.org/0000-0003-3446-0585
Jacqueline DuncanUniversity College London Hospital, London, United Kingdom.ORCID https://orcid.org/0000-0002-7440-4417
Melanie TanUniversity College London Hospital, London, United Kingdom.ORCID https://orcid.org/0000-0003-2140-6520
Norman WilliamsUniversity College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-6496-312X
James CattoUniversity of Sheffield, Sheffield, United Kingdom.ORCID https://orcid.org/0000-0003-2787-8828
Ivana Drobnjak *University College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-3989-1715
John Kelly *University College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-7036-1923

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe incidence of major surgery is on the rise globally, and more than 20% of patients are readmitted to hospital following discharge from hospital. During their hospital stay, patients are monitored for early detection of clinical deterioration, which includes regularly measuring physiological parameters such as blood pressure, heart rate, respiratory rate, temperature, and pulse oximetry. This monitoring ceases upon hospital discharge, as patients are deemed clinically stable. Monitoring after discharge is relevant to detect adverse events occurring in the home setting and can be made possible through the development of digital technologies and mobile networks. Smartwatches and other technological devices allow patients to self-measure physiological parameters in the home setting, and Bluetooth connectivity can facilitate the automatic collection and transfer of this data to a secure server with minimal input from the patient.

objectiveThis paper presents the protocol for the DREAMPath (Domiciliary Recovery After Medicalization Pathway) study, which aims to measure compliance with a multidevice remote monitoring kit after discharge from hospital following major surgery.

methodsDREAMPath is a single-center, prospective, observational, cohort study, comprising 30 patients undergoing major intracavity surgery. The primary outcome is to assess patient compliance with wearable and interactive smart technology in the first 30 days following discharge from hospital after major surgery. Secondary outcomes will explore the relation between unplanned health care events and physiological data collected in the study, as well as to explore a similar relationship with daily patient-reported outcome measures (Quality of Recovery-15 score). Secondary outcomes will be analyzed using appropriate regression methods. Cardiopulmonary exercise testing data will also be collected to assess correlations with wearable device data.

resultsRecruitment was halted due to COVID-19 restrictions and will progress once research staff are back from redeployment. We expect that the study will be completed in the first quarter of 2022.

conclusionsDigital health solutions have been recently made possible due to technological advances, but urgency in rollout has been expedited due to COVID-19. The DREAMPath study will inform readers about the feasibility of remote monitoring for a patient group that is at an increased risk of acute deterioration.

trial registrationISRCTN Registry ISRCTN62293620; https://www.isrctn.com/ISRCTN62293620. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/30638.

Indexed as

compliancedigital healthhospitalpatient monitoringremote monitoringsmart devicessurgerytelehealthtelemonitoringwearable technology

Identifiers

PMID35383570
PMCPMC9021951

What OpenQuestion holds

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LicenceCC BY
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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.