Evidence map›Paper›PMID 36583086›Full record

ArticleDigital health

Supporting patients with heart failure with digital therapeutics-A pilot study in Germany.

S Reif, S Schubert, J Stiefel, F Husri, T Fischlein, M Pauschinger, J Klucken

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

7 authors.

S ReifZEW - Leibniz Centre for European Economic Research, Mannheim, Germany.ORCID https://orcid.org/0000-0001-6842-289X
S SchubertZEW - Leibniz Centre for European Economic Research, Mannheim, Germany.
J Stiefeldmac - Medical Valley Digital Health Application Center, Bamberg, Germany.
F HusriDepartment of Cardiac Surgery, Klinikum Nürnberg (Cardiovascular Center), Paracelsus Medical University, Nürnberg, Germany.
T FischleinDepartment of Cardiac Surgery, Klinikum Nürnberg (Cardiovascular Center), Paracelsus Medical University, Nürnberg, Germany.
M PauschingerDepartment of Cardiology, Klinikum Nürnberg (Cardiovascular Center), Paracelsus Medical University, Nürnberg, Germany.
J KluckenDigital Medicine Group, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Continuous monitoring and targeted behavioral interventions have been shown to improve health status and quality of life for heart failure patients. Digital therapeutics offer the possibility to make more frequent monitoring and targeted behavioral interventions available for more people. Methods: We conduct a pilot study with 71 patients who were given a smartphone app and wearables for a 3-month period. Clinical indicators as well as patient-reported outcomes were collected at entry and exit examinations. Results: The New York Heart Association class remained stable or improved. Most quantitative outcome measures improved (6-minute walk test distance + 21 m, Kansas City Cardiomyopathy Questionnaire summary score + 6.0 points, European Heard Failure Self-care Behavior Scale summary score + 6.6 points, correct answers in the Atlanta Heart Failure Knowledge Test + 2.1), although the changes were mainly not significantly different from zero. There was no change in EQ-5D weight and 9-item Shared Decision-Making Questionnaire summary score. Conclusions: This before-after comparison shows that an app-based intervention can work as a digital therapeutic for heart failure patients.

Indexed as

appsCardiovascular diseasedigital healthquantitativewearables

Identifiers

PMID36583086
PMCPMC9793018

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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.