Evidence map›Paper›PMID 37351921›Full record

ArticleJMIR cardio2023

Smartphone-Based Remote Monitoring in Heart Failure With Reduced Ejection Fraction: Retrospective Cohort Study of Secondary Care Use and Costs.

Sameer Zaman, Yorissa Padayachee, Moulesh Shah, Jack Samways, Alice Auton, Nicholas M Quaife, Mark Sweeney, James P Howard, Indira Tenorio, Patrik Bachtiger and 8 more

Open access · goldAbstract read
In one paragraph

Article in JMIR cardio, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. 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

18 authors at 3 institutions in 1 country.

Sameer Zaman *Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-1467-8176
Yorissa Padayachee *Imperial College Healthcare National Health Service Trust, London, United Kingdom.ORCID https://orcid.org/0000-0002-6576-4541
Moulesh ShahImperial College Health Partners, London, United Kingdom.ORCID https://orcid.org/0009-0006-5527-9549
Jack SamwaysImperial College Healthcare National Health Service Trust, London, United Kingdom.ORCID https://orcid.org/0000-0001-9090-9610
Alice AutonImperial College Healthcare National Health Service Trust, London, United Kingdom.ORCID https://orcid.org/0000-0002-4086-1898
Nicholas M QuaifeImperial College Healthcare National Health Service Trust, London, United Kingdom.ORCID https://orcid.org/0000-0003-2755-2086
Mark SweeneyImperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-5098-0076
James P HowardImperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-9730-4606
Indira TenorioImperial College Healthcare National Health Service Trust, London, United Kingdom.ORCID https://orcid.org/0000-0001-7266-527X
Patrik BachtigerImperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-3502-8869
Tahereh KamalatiImperial College Health Partners, London, United Kingdom.ORCID https://orcid.org/0009-0007-7410-6552
Punam A PabariImperial College Healthcare National Health Service Trust, London, United Kingdom.ORCID https://orcid.org/0000-0003-1356-7391
Nick W F LintonImperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-5712-849X
Jamil MayetImperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-4665-6422
Nicholas S PetersImperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-1014-7052
Carys BartonImperial College Healthcare National Health Service Trust, London, United Kingdom.ORCID https://orcid.org/0000-0001-5652-3538
Graham D ColeImperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-3157-0335
Carla M PlymenImperial College Healthcare National Health Service Trust, London, United Kingdom.ORCID https://orcid.org/0000-0002-8237-9581
Imperial College London · GBNational Health Service · GBKings Health Partners · GB

Funding

British Heart Foundation FS/CRA/22/23036British Heart Foundation FS/ICRF/22/26039
6 · The paper itself

Abstract

backgroundDespite effective therapies, the economic burden of heart failure with reduced ejection fraction (HFrEF) is driven by frequent hospitalizations. Treatment optimization and admission avoidance rely on frequent symptom reviews and monitoring of vital signs. Remote monitoring (RM) aims to prevent admissions by facilitating early intervention, but the impact of noninvasive, smartphone-based RM of vital signs on secondary health care use and costs in the months after a new diagnosis of HFrEF is unknown.

objectiveThe purpose of this study is to conduct a secondary care health use and health-economic evaluation for patients with HFrEF using smartphone-based noninvasive RM and compare it with matched controls receiving usual care without RM.

methodsWe conducted a retrospective study of 2 cohorts of newly diagnosed HFrEF patients, matched 1:1 for demographics, socioeconomic status, comorbidities, and HFrEF severity. They are (1) the RM group, with patients using the RM platform for >3 months and (2) the control group, with patients referred before RM was available who received usual heart failure care without RM. Emergency department (ED) attendance, hospital admissions, outpatient use, and the associated costs of this secondary care activity were extracted from the Discover data set for a 3-month period after diagnosis. Platform costs were added for the RM group. Secondary health care use and costs were analyzed using Kaplan-Meier event analysis and Cox proportional hazards modeling.

resultsA total of 146 patients (mean age 63 years; 42/146, 29% female) were included (73 in each group). The groups were well-matched for all baseline characteristics except hypertension (P=.03). RM was associated with a lower hazard of ED attendance (hazard ratio [HR] 0.43; P=.02) and unplanned admissions (HR 0.26; P=.02). There were no differences in elective admissions (HR 1.03, P=.96) or outpatient use (HR 1.40; P=.18) between the 2 groups. These differences were sustained by a univariate model controlling for hypertension. Over a 3-month period, secondary health care costs were approximately 4-fold lower in the RM group than the control group, despite the additional cost of RM itself (mean cost per patient GBP £465, US $581 vs GBP £1850, US $2313, respectively; P=.04).

conclusionsThis retrospective cohort study shows that smartphone-based RM of vital signs is feasible for HFrEF. This type of RM was associated with an approximately 2-fold reduction in ED attendance and a 4-fold reduction in emergency admissions over just 3 months after a new diagnosis with HFrEF. Costs were significantly lower in the RM group without increasing outpatient demand. This type of RM could be adjunctive to standard care to reduce admissions, enabling other resources to help patients unable to use RM.

Indexed as

admission preventioncohort studydiagnosisheart failurehospitalizationnoninvasiveremote monitoringself-managementsmartphonesmartphone caretelemonitoringvital signs

Identifiers

PMID37351921
PMCPMC10334716
OpenAlexW4381715103

What Socratic 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 Socratic graph.