Evidence map›Paper›PMID 35225819›Full record

Trial reportJMIR mHealth and uHealth2022

A Smartphone-Based Model of Care to Support Patients With Cardiac Disease Transitioning From Hospital to the Community (TeleClinical Care): Pilot Randomized Controlled Trial.

Praveen Indraratna, Uzzal Biswas, James McVeigh, Andrew Mamo, Joseph Magdy, Dominic Vickers, Elaine Watkins, Andreas Ziegl, Hueiming Liu, Nicholas Cholerton and 13 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JMIR mHealth and uHealth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 10 pooled it
7.1field-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

46 citing papers in PubMed, 10 syntheses or guidelines pooled it, 83 citations in OpenAlex.

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  6. Smartphone application-based intervention to lower blood pressure: a systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
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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

23 authors at 8 institutions in 3 countries.

Praveen IndraratnaDepartment of Cardiology, Prince of Wales Hospital, Randwick, Australia.ORCID 0000-0003-0301-2835
Uzzal BiswasGraduate School of Biomedical Engineering, UNSW Sydney, Sydney, Australia.ORCID 0000-0001-8489-3827
James McVeighDepartment of Cardiology, Prince of Wales Hospital, Randwick, Australia.ORCID 0000-0001-7028-5281
Andrew MamoDepartment of Cardiology, Prince of Wales Hospital, Randwick, Australia.ORCID 0000-0002-1622-7395
Joseph MagdyDepartment of Cardiology, Prince of Wales Hospital, Randwick, Australia.ORCID 0000-0002-2142-7359
Dominic VickersDepartment of Cardiology, Prince of Wales Hospital, Randwick, Australia.ORCID 0000-0001-8385-0905
Elaine WatkinsDepartment of Cardiology, Prince of Wales Hospital, Randwick, Australia.ORCID 0000-0001-6940-5426
Andreas ZieglCenter for Health and Bioresources, Austrian Institute of Technology, Graz, Austria.ORCID 0000-0003-1948-567X
Hueiming LiuThe George Institute for Global Health, Sydney, Australia.ORCID 0000-0001-9077-8673
Nicholas CholertonDepartment of Cardiology, Prince of Wales Hospital, Randwick, Australia.ORCID 0000-0003-2224-2388
Joan LiDepartment of Cardiology, Prince of Wales Hospital, Randwick, Australia.ORCID 0000-0001-5274-3584
Katie HolgateDepartment of Cardiology, Prince of Wales Hospital, Randwick, Australia.ORCID 0000-0003-3059-4674
Jennifer FildesDepartment of Cardiology, Prince of Wales Hospital, Randwick, Australia.ORCID 0000-0003-0202-8237
Robyn GallagherSusan Wakil School of Nursing and Midwifery, Charles Perkins Centre, University of Sydney, Sydney, Australia.ORCID 0000-0001-5588-9351
Cate FerryNational Heart Foundation of Australia, Sydney, Australia.ORCID 0000-0001-7881-087X
Stephen JanThe George Institute for Global Health, Sydney, Australia.ORCID 0000-0003-2839-1405
Nancy BriggsStats Central, Mark Wainwright Analytical Centre, UNSW Sydney, Sydney, Australia.ORCID 0000-0002-1134-0807
Guenter SchreierCenter for Health and Bioresources, Austrian Institute of Technology, Graz, Austria.ORCID 0000-0003-3724-4255
Stephen J RedmondGraduate School of Biomedical Engineering, UNSW Sydney, Sydney, Australia.ORCID 0000-0002-2630-5449
Eugene LohDepartment of Cardiology, The Sutherland Hospital, Sydney, Australia.ORCID 0000-0003-3976-4967
Jennifer YuDepartment of Cardiology, Prince of Wales Hospital, Randwick, Australia.ORCID 0000-0001-6110-2447
Nigel H LovellGraduate School of Biomedical Engineering, UNSW Sydney, Sydney, Australia.ORCID 0000-0003-1637-1079
Sze-Yuan OoiDepartment of Cardiology, Prince of Wales Hospital, Randwick, Australia.ORCID 0000-0001-6916-7958
Prince of Wales Hospital · AUUNSW Sydney · AUAustrian Institute of Technology · ATSutherland Hospital · AUThe George Institute for Global Health · AUNational Heart Foundation of Australia · AUThe University of Sydney · AUUniversity College Dublin · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients hospitalized with acute coronary syndrome (ACS) or heart failure (HF) are frequently readmitted. This is the first randomized controlled trial of a mobile health intervention that combines telemonitoring and education for inpatients with ACS or HF to prevent readmission.

objectiveThis study aims to investigate the feasibility, efficacy, and cost-effectiveness of a smartphone app-based model of care (TeleClinical Care [TCC]) in patients discharged after ACS or HF admission.

methodsIn this pilot, 2-center randomized controlled trial, TCC was applied at discharge along with usual care to intervention arm participants. Control arm participants received usual care alone. Inclusion criteria were current admission with ACS or HF, ownership of a compatible smartphone, age ≥18 years, and provision of informed consent. The primary end point was the incidence of unplanned 30-day readmissions. Secondary end points included all-cause readmissions, cardiac readmissions, cardiac rehabilitation completion, medication adherence, cost-effectiveness, and user satisfaction. Intervention arm participants received the app and Bluetooth-enabled devices for measuring weight, blood pressure, and physical activity daily plus usual care. The devices automatically transmitted recordings to the patients' smartphones and a central server. Thresholds for blood pressure, heart rate, and weight were determined by the treating cardiologists. Readings outside these thresholds were flagged to a monitoring team, who discussed salient abnormalities with the patients' usual care providers (cardiologists, general practitioners, or HF outreach nurses), who were responsible for further management. The app also provided educational push notifications. Participants were followed up after 6 months.

resultsOverall, 164 inpatients were randomized (TCC: 81/164, 49.4%; control: 83/164, 50.6%; mean age 61.5, SD 12.3 years; 130/164, 79.3% men; 128/164, 78% admitted with ACS). There were 11 unplanned 30-day readmissions in both groups (P=.97). Over a mean follow-up of 193 days, the intervention was associated with a significant reduction in unplanned hospital readmissions (21 in TCC vs 41 in the control arm; P=.02), including cardiac readmissions (11 in TCC vs 25 in the control arm; P=.03), and higher rates of cardiac rehabilitation completion (20/51, 39% vs 9/49, 18%; P=.03) and medication adherence (57/76, 75% vs 37/74, 50%; P=.002). The average usability rating for the app was 4.5/5. The intervention cost Aus $6028 (US $4342.26) per cardiac readmission saved. When modeled in a mainstream clinical setting, enrollment of 237 patients was projected to have the same expenditure compared with usual care, and enrollment of 500 patients was projected to save approximately Aus $100,000 (approximately US $70,000) annually.

conclusionsTCC was feasible and safe for inpatients with either ACS or HF. The incidence of 30-day readmissions was similar; however, long-term benefits were demonstrated, including fewer readmissions over 6 months, improved medication adherence, and improved cardiac rehabilitation completion.

trial registrationAustralian New Zealand Clinical Trials Registry ACTRN12618001547235; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=375945.

Indexed as

Heart DiseasesSmartphoneAdolescentAustraliaFemaleHospitalsHumansMaleMiddle AgedPilot Projectsdigital healthheart failureischemic heart diseasemHealthmobile phonetelemedicine

Identifiers

PMID35225819
PMCPMC8922139
OpenAlexW4206750516

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.