Evidence map›Paper›PMID 36689266›Full record

ArticleJMIR human factors2023

Patients' Information Needs Related to a Monitoring Implant for Heart Failure: Co-designed Study Based on Affect Stories.

Ambre Davat, Fabienne Martin-Juchat

Open access · goldAbstract read
In one paragraph

Article in JMIR human factors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

2 authors at 2 institutions in 1 country.

Ambre Davat *TIMC - Translational Innovation in Medicine and Complexity / Recherche Translationnelle en Médecine et Complexité - UMR 5525, Université Grenoble Alpes, La Tronche, France.ORCID https://orcid.org/0000-0001-7513-6920
Fabienne Martin-Juchat *GRESEC - Groupe de Recherche Sur les Enjeux de la Communication, Université Grenoble Alpes, Échirolles, France.ORCID https://orcid.org/0000-0001-9641-3800
Translational Innovation in Medicine and Complexity · FRUniversité Grenoble Alpes · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRealWorld4Clinic is a European consortium that is currently developing an implantable monitoring device for acute heart failure prevention.

objectiveThis study aimed to identify the main issues and information needs related to this new cardiac implant from the patients' perspective.

methodsA total of 3 patient collaborators were recruited to help us design the study. During 4 remotely held meetings (each lasting for 2 hours), we defined the main questions and hypotheses together. Next, 26 additional interviews were conducted remotely to test these hypotheses. During both phases, we used affect stories, which are life narratives focusing on affect and the relationship between patients and the care ecosystem, to highlight the main social issues that should be addressed by the research according to the patients.

resultsContext of diagnosis, age, and severity of illness strongly influence patient experience. However, these variables do not seem to influence the choice regarding being implanted, which relies mostly on the individual patient's trust in their physicians. It seems that the major cause of anxiety for the patient is not the implant but the disease itself, although some people may initially be concerned over the idea of becoming a cyborg. Remote monitoring of cardiac implants should draw on existing remote disease management programs focusing on a long-term relationship between the patient and their medical team.

conclusionsCo-design with affect stories is a useful method for quickly identifying the main social issues related to information about a new health technology.

Indexed as

affect storiesco-designheart failuremedical implantable devicemHealthmixed methods studymobile healthquantified selfremote monitoringtelehealth

Identifiers

PMID36689266
PMCPMC9947817
OpenAlexW4317780573

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.