Evidence map›Paper›PMID 33882601›Full record

Trial reportYearbook of medical informatics2021

Trials and Tribulations: mHealth Clinical Trials in the COVID-19 Pandemic.

Praveen Indraratna, Uzzal Biswas, Jennifer Yu, Guenter Schreier, Sze-Yuan Ooi, Nigel H Lovell, Stephen J Redmond

Registry-linked trialOpen access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Yearbook of medical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07375251 (TELEMACO-S), which is not on this map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 15% 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.

NCT07375251 enrolling by invitationnot on this mapstarted 2025, after this paper: background citation

TELEMACO-S: a Telemonitoring Project in Cardiology and Technology Transfer Using Telemedicine

TypeobservationalSponsorValentina MicheluzziRan2025 to 2026Enrolled250ConditionsHeart Failure Patients
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. Article
  6. Article
  7. Review
  8. Digital Solutions Observed in Clinical Trials: A Formative Feasibility Scoping Review.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023
    Article
  9. Article
  10. Article
  11. 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

7 authors at 4 institutions in 3 countries.

Praveen IndraratnaDepartment of Cardiology, Prince of Wales Hospital, Sydney, Australia.
Uzzal BiswasGraduate School of Biomedical Engineering, The University of New South Wales, Sydney, Australia.
Jennifer YuDepartment of Cardiology, Prince of Wales Hospital, Sydney, Australia.
Guenter SchreierAIT Austrian Institute of Technology, Center for Health and Bioresources, Graz, Austria.
Sze-Yuan OoiDepartment of Cardiology, Prince of Wales Hospital, Sydney, Australia.
Nigel H LovellGraduate School of Biomedical Engineering, The University of New South Wales, Sydney, Australia.
Stephen J RedmondGraduate School of Biomedical Engineering, The University of New South Wales, Sydney, Australia.
UNSW Sydney · AUAustrian Institute of Technology · ATPrince of Wales Hospital · AUUniversity College Dublin · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMobile phone-based interventions in cardiovascular disease are growing in popularity. A randomised control trial (RCT) for a novel smartphone app-based model of care, named TeleClinical Care - Cardiac (TCC-Cardiac), commenced in February 2019, targeted at patients being discharged after care for an acute coronary syndrome or episode of decompensated heart failure. The app was paired to a digital sphygmomanometer, weighing scale and a wearable fitness band, all loaned to the patient, and allowed clinicians to respond to abnormal readings. The onset of the COVID-19 pandemic necessitated several modifications to the trial in order to protect participants from potential exposure to infection. The use of TCC-Cardiac during the pandemic inspired the development of a similar model of care (TCC-COVID), targeted at patients being managed at home with a diagnosis of COVID-19.

methodsRecruitment for the TCC-Cardiac trial was terminated shortly after the World Health Organization announced COVID-19 as a global pandemic. Telephone follow-up was commenced, in order to protect patients from unnecessary exposure to hospital staff and patients. Equipment was returned or collected by a 'no-contact' method. The TCC-COVID app and model of care had similar functionality to the original TCC-Cardiac app. Participants were enrolled exclusively by remote methods. Oxygen saturation and pulse rate were measured by a pulse oximeter, and symptomatology measured by questionnaire. Measurement results were manually entered into the app and transmitted to an online server for medical staff to review.

resultsA total of 164 patients were involved in the TCC-Cardiac trial, with 102 patients involved after the onset of the pandemic. There were no hospitalisations due to COVID-19 in this cohort. The study was successfully completed, with only three participants lost to follow-up. During the pandemic, 5 of 49 (10%) of patients in the intervention arm were readmitted compared to 12 of 53 (23%) in the control arm. Also, in this period, 28 of 29 (97%) of all clinically significant alerts received by the monitoring team were managed successfully in the outpatient setting, avoiding hospitalisation. Patients found the user experience largely positive, with the average rating for the app being 4.56 out of 5. 26 patients have currently been enrolled for TCC-COVID. Recruitment is ongoing. All patients have been safely and effectively monitored, with no major adverse clinical events or technical malfunctions. Patient satisfaction has been high.

conclusionThe TCC-Cardiac RCT was successfully completed despite the challenges posed by COVID-19. Use of the app had an added benefit during the pandemic as participants could be monitored safely from home. The model of care inspired the development of an app with similar functionality designed for use with patients diagnosed with COVID-19.

Indexed as

COVID-19Fitness TrackersMobile ApplicationsTelemedicineAcute Coronary SyndromeAgedHeart FailureHumansMaleMonitoring, PhysiologicPilot ProjectsSmartphone

Identifiers

PMID33882601
PMCPMC8416217
OpenAlexW3155434378

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.