Evidence map›Paper›PMID 33666562›Full record

ArticleJMIR medical informatics2021

A Personal Health System for Self-Management of Congestive Heart Failure (HeartMan): Development, Technical Evaluation, and Proof-of-Concept Randomized Controlled Trial.

Mitja Luštrek, Marko Bohanec, Carlos Cavero Barca, Maria Costanza Ciancarelli, Els Clays, Amos Adeyemo Dawodu, Jan Derboven, Delphine De Smedt, Erik Dovgan, Jure Lampe and 11 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR 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 NCT03497871 (Proof-of-concept RCT), which is not on this map. Cited by 18 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 5 pooled it
4.1field-weighted citation impact, top 5% 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.

NCT03497871 nacompletednot on this map

Proof-of-concept RCT: A Wearable Mobile Device to Improve Disease Management in Patients With Congestive Heart Failure

TypeinterventionalSponsorJozef Stefan InstituteRan2018 to 2019Enrolled79ConditionsHeart Failure, CongestiveArmsHeartMan system
3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 5 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Review
  7. Article
  8. Article
  9. Trustworthy and ethical AI-enabled cardiovascular care: a rapid review.BMC medical informatics and decision making · 2024
    Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. 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

21 authors at 8 institutions in 5 countries.

Mitja LuštrekDepartment of Intelligent Systems, Jožef Stefan Institute, Ljubljana, Slovenia.ORCID https://orcid.org/0000-0003-3219-2935
Marko BohanecDepartment of Knowledge Technologies, Jožef Stefan Institute, Ljubljana, Slovenia.ORCID https://orcid.org/0000-0003-4317-2833
Carlos Cavero BarcaHealth Unit, Atos Research and Innovation (ARI), Atos Spain S.A., Madrid, Spain.ORCID https://orcid.org/0000-0002-3210-7019
Maria Costanza CiancarelliDepartment of Cardiovascular, Respiratory, Nephrological, Anesthesiological and Geriatric Sciences, Sapienza University of Rome, Rome, Italy.ORCID https://orcid.org/0000-0002-4168-7166
Els ClaysDepartment of Public Health and Primary Care, Ghent University, Ghent, Belgium.ORCID https://orcid.org/0000-0002-1092-945X
Amos Adeyemo DawoduDepartment of Cardiovascular, Respiratory, Nephrological, Anesthesiological and Geriatric Sciences, Sapienza University of Rome, Rome, Italy.ORCID https://orcid.org/0000-0002-4893-713X
Jan DerbovenMeaningful Interactions Lab, KU Leuven, Leuven, Belgium.ORCID https://orcid.org/0000-0003-2168-9719
Delphine De SmedtDepartment of Public Health and Primary Care, Ghent University, Ghent, Belgium.ORCID https://orcid.org/0000-0001-7035-8508
Erik DovganDepartment of Intelligent Systems, Jožef Stefan Institute, Ljubljana, Slovenia.ORCID https://orcid.org/0000-0003-4671-8627
Jure LampeSenLab d.o.o., Ljubljana, Slovenia.ORCID https://orcid.org/0000-0001-9074-2806
Flavia MarinoInstitute for Biomedical Research and Innovation, National Research Council of Italy, Messina, Italy.ORCID https://orcid.org/0000-0001-5213-9520
Miha MlakarDepartment of Intelligent Systems, Jožef Stefan Institute, Ljubljana, Slovenia.ORCID https://orcid.org/0000-0003-4347-8963
Giovanni PioggiaInstitute for Biomedical Research and Innovation, National Research Council of Italy, Messina, Italy.ORCID https://orcid.org/0000-0002-8089-7449
Paolo Emilio PudduDepartment of Cardiovascular, Respiratory, Nephrological, Anesthesiological and Geriatric Sciences, Sapienza University of Rome, Rome, Italy.ORCID https://orcid.org/0000-0002-6191-7838
Juan Mario RodríguezHealth Unit, Atos Research and Innovation (ARI), Atos Spain S.A., Madrid, Spain.ORCID https://orcid.org/0000-0003-2888-7638
Michele SchiaritiDepartment of Cardiovascular, Respiratory, Nephrological, Anesthesiological and Geriatric Sciences, Sapienza University of Rome, Rome, Italy.ORCID https://orcid.org/0000-0001-5077-8134
Gašper SlapničarDepartment of Intelligent Systems, Jožef Stefan Institute, Ljubljana, Slovenia.ORCID https://orcid.org/0000-0001-9540-534X
Karin SlegersDepartment of Communication & Cognition, Tilburg School of Humanities and Digital Sciences, Tilburg University, Tilburg, Netherlands.ORCID https://orcid.org/0000-0003-3368-2282
Gennaro TartariscoInstitute for Biomedical Research and Innovation, National Research Council of Italy, Messina, Italy.ORCID https://orcid.org/0000-0001-9467-2024
Jakob ValičDepartment of Intelligent Systems, Jožef Stefan Institute, Ljubljana, Slovenia.ORCID https://orcid.org/0000-0003-0517-9153
Aljoša VodopijaDepartment of Intelligent Systems, Jožef Stefan Institute, Ljubljana, Slovenia.ORCID https://orcid.org/0000-0003-0299-4160
Jožef Stefan Institute · SISapienza University of Rome · ITInstitute for Biomedical Research and Innovation · ITAtos (Spain) · ESGhent University · BEB2 (Slovenia) · SIKU Leuven · BETilburg University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCongestive heart failure (CHF) is a disease that requires complex management involving multiple medications, exercise, and lifestyle changes. It mainly affects older patients with depression and anxiety, who commonly find management difficult. Existing mobile apps supporting the self-management of CHF have limited features and are inadequately validated.

objectiveThe HeartMan project aims to develop a personal health system that would comprehensively address CHF self-management by using sensing devices and artificial intelligence methods. This paper presents the design of the system and reports on the accuracy of its patient-monitoring methods, overall effectiveness, and patient perceptions.

methodsA mobile app was developed as the core of the HeartMan system, and the app was connected to a custom wristband and cloud services. The system features machine learning methods for patient monitoring: continuous blood pressure (BP) estimation, physical activity monitoring, and psychological profile recognition. These methods feed a decision support system that provides recommendations on physical health and psychological support. The system was designed using a human-centered methodology involving the patients throughout development. It was evaluated in a proof-of-concept trial with 56 patients.

resultsFairly high accuracy of the patient-monitoring methods was observed. The mean absolute error of BP estimation was 9.0 mm Hg for systolic BP and 7.0 mm Hg for diastolic BP. The accuracy of psychological profile detection was 88.6%. The F-measure for physical activity recognition was 71%. The proof-of-concept clinical trial in 56 patients showed that the HeartMan system significantly improved self-care behavior (P=.02), whereas depression and anxiety rates were significantly reduced (P<.001), as were perceived sexual problems (P=.01). According to the Unified Theory of Acceptance and Use of Technology questionnaire, a positive attitude toward HeartMan was seen among end users, resulting in increased awareness, self-monitoring, and empowerment.

conclusionsThe HeartMan project combined a range of advanced technologies with human-centered design to develop a complex system that was shown to help patients with CHF. More psychological than physical benefits were observed.

trial registrationClinicalTrials.gov NCT03497871; https://clinicaltrials.gov/ct2/history/NCT03497871. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1186/s12872-018-0921-2.

Indexed as

congestive heart failuredecision support techniqueshuman centered designmobile applicationmobile phonepersonal health systempsychological supportwearable electronic devices

Identifiers

PMID33666562
PMCPMC7980114
OpenAlexW3119500435

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.