Evidence map›Paper›PMID 38912920›Full record

ArticleJMIR cardio2024

Analysis of Demographic and Socioeconomic Factors Influencing Adherence to a Web-Based Intervention Among Patients After Acute Coronary Syndrome: Prospective Observational Cohort Study.

Biagio Sassone, Giuseppe Fuca', Mario Pedaci, Roberta Lugli, Enrico Bertagnin, Santo Virzi', Manuela Bovina, Giovanni Pasanisi, Simona Mandini, Jonathan Myers and 1 more

Abstract read
In one paragraph

Article in JMIR cardio, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  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

11 authors.

Biagio SassoneDivision of Provincial Cardiology, Department of Translational Medicine, University of Ferrara, Ferrara, Italy.ORCID https://orcid.org/0000-0002-9028-7169
Giuseppe Fuca'Division of Provincial Cardiology, Cardiothoracic Vascular Department, Azienda Unità Sanitaria Locale di Ferrara, Ferrara, Italy.ORCID https://orcid.org/0009-0001-7664-3382
Mario PedaciDivision of Provincial Cardiology, Cardiothoracic Vascular Department, Azienda Unità Sanitaria Locale di Ferrara, Ferrara, Italy.ORCID https://orcid.org/0009-0007-7637-4972
Roberta LugliDivision of Provincial Cardiology, Cardiothoracic Vascular Department, Azienda Unità Sanitaria Locale di Ferrara, Ferrara, Italy.ORCID https://orcid.org/0009-0006-5758-1207
Enrico BertagninDivision of Provincial Cardiology, Cardiothoracic Vascular Department, Azienda Unità Sanitaria Locale di Ferrara, Ferrara, Italy.ORCID https://orcid.org/0000-0001-6335-2597
Santo Virzi'Division of Provincial Cardiology, Cardiothoracic Vascular Department, Azienda Unità Sanitaria Locale di Ferrara, Ferrara, Italy.ORCID https://orcid.org/0009-0001-1130-2085
Manuela BovinaDivision of Provincial Cardiology, Cardiothoracic Vascular Department, Azienda Unità Sanitaria Locale di Ferrara, Ferrara, Italy.ORCID https://orcid.org/0009-0005-9049-1820
Giovanni PasanisiCardiac Rehabilitation Unit, Cardiothoracic Vascular Department, Azienda Unità Sanitaria Locale di Ferrara, Ferrara, Italy.ORCID https://orcid.org/0009-0003-8695-7902
Simona MandiniCentre for Exercise Science and Sport, Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, Italy.ORCID https://orcid.org/0000-0001-8569-6702
Jonathan MyersDivision of Cardiology, VA Palo Alto Health Care System, Palo Alto, CA, United States.ORCID https://orcid.org/0000-0003-2592-136X
Paolo TolomeoDivision of Provincial Cardiology, Cardiothoracic Vascular Department, Azienda Unità Sanitaria Locale di Ferrara, Ferrara, Italy.ORCID https://orcid.org/0000-0001-7289-7695

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough telemedicine has been proven to have significant potential for improving care for patients with cardiac problems, there remains a substantial risk of introducing disparities linked to the use of digital technology, especially for older or socially vulnerable subgroups.

objectiveWe investigated factors influencing adherence to a telemedicine-delivered health education intervention in patients with ischemia, emphasizing demographic and socioeconomic considerations.

methodsWe conducted a descriptive, observational, prospective cohort study in consecutive patients referred to our cardiology center for acute coronary syndrome, from February 2022 to January 2023. Patients were invited to join a web-based health educational meeting (WHEM) after hospital discharge, as part of a secondary prevention program. The WHEM sessions were scheduled monthly and used a teleconference software program for remote synchronous videoconferencing, accessible through a standard computer, tablet, or smartphone based on patient preference or availability.

resultsOut of the 252 patients (median age 70, IQR 61.0-77.3 years; n=189, 75% male), 98 (38.8%) declined the invitation to participate in the WHEM. The reasons for nonacceptance were mainly challenges in handling digital technology (70/98, 71.4%), followed by a lack of confidence in telemedicine as an integrative tool for managing their medical condition (45/98, 45.9%), and a lack of internet-connected devices (43/98, 43.8%). Out of the 154 patients who agreed to participate in the WHEM, 40 (25.9%) were unable to attend. Univariable logistic regression analysis showed that the presence of a caregiver with digital proficiency and a higher education level was associated with an increased likelihood of attendance to the WHEM, while the converse was true for increasing age and female sex. After multivariable adjustment, higher education level (odds ratio [OR] 2.26, 95% CI 1.53-3.32; P<.001) and caregiver with digital proficiency (OR 12.83, 95% CI 5.93-27.75; P<.001) remained independently associated with the outcome. The model discrimination was good even when corrected for optimism (optimism-corrected C-index=0.812), as was the agreement between observed and predicted probability of participation (optimism-corrected calibration intercept=0.010 and slope=0.948).

conclusionsThis study identifies a notable lack of suitability for a specific cohort of patients with ischemia to participate in our telemedicine intervention, emphasizing the risk of digital marginalization for a significant portion of the population. Addressing low digital literacy rates among patients or their informal caregivers and overcoming cultural bias against remote care were identified as critical issues in our study findings to facilitate the broader adoption of telemedicine as an inclusive tool in health care.

Indexed as

acute coronary syndromecaregiverdigital healthdigital literacyeducationalmobile phoneolder agesocioeconomictelemedicine

Identifiers

PMID38912920
PMCPMC11329845

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.