Evidence map›Paper›PMID 42318916›Full record

ArticleFamily practice2026

The digital heartbeat: a qualitative descriptive study on women's views on preventing cardiovascular disease in primary care.

Ilhem Chaima Bousbiat, Samira Abbasgholizadeh-Rahimi, Roland Grad, Charo Rodríguez

Abstract read
In one paragraph

Article in Family practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Ilhem Chaima BousbiatDepartment of Family Medicine, School of Medicine, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC H3S 1Z1, Canada.
Samira Abbasgholizadeh-RahimiDepartment of Family Medicine, School of Medicine, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC H3S 1Z1, Canada.ORCID 0000-0003-3781-1360
Roland GradDepartment of Family Medicine, School of Medicine, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC H3S 1Z1, Canada.ORCID 0000-0002-1591-613X
Charo RodríguezDepartment of Family Medicine, School of Medicine, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC H3S 1Z1, Canada.ORCID 0000-0003-3799-8399

Funding

CIHR
6 · The paper itself

Abstract

backgroundThis empirical study aims to explore women's perspectives on cardiovascular disease and the use of digital health interventions (DHIs) for their primary prevention and to gather insights on essential features for developing artificial intelligent-enabled technologies.

methodsAdopting a qualitative descriptive research design, we conducted 15 semi-structured, in-depth interviews via Zoom with women at higher risk for cardiovascular disease. Participants were women over 40 years old, residing in Quebec, with at least one cardiovascular disease risk factor, and proficient in English. Recruitment was from a McGill University-affiliated clinic. An inductive thematic analysis approach was used for data analysis.

resultsFive major themes were identified: (i) understanding cardiovascular disease in a variety of ways, (ii) barriers and challenges to preventing cardiovascular disease in women, (iii) women taking charge of their cardiovascular well-being, (iv) mixed perspectives regarding artificial intelligent-enabled technologies for cardiovascular disease prevention such as Xi-Care, and (v) range of suggestions for the format and design of a prospective artificial intelligent-enabled technologies.

conclusionsDespite the prevalence of cardiovascular disease, there is a significant knowledge gap among women regarding the chronic nature and manifestations of these diseases. Artificial intelligent-enabled technologies like Xi-Care, with the potential for customization and interactive engagement, could enhance the primary prevention of cardiovascular disease in women, providing valuable insights for the subsequent phases of the project leading to Xi-Care's development.

Indexed as

Cardiovascular DiseasesHealth Knowledge, Attitudes, PracticePrimary PreventionAdultAgedDigital HealthFemaleHumansInterviews as TopicMiddle AgedPrimary Health CareQualitative ResearchQuebecWomen's HealthAI in primary carecardiovascular diseasepatient-centered careprimary preventionwomen’s health

Identifiers

PMID42318916
PMCPMC13280644

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.