Evidence map›Paper›PMID 40533094›Full record

Observational studyApplied clinical informatics2025

Developing Mobile Apps to Support Clinical Management of HIV Patients: An Observational Study.

Annalisa Roveta, Massimo Canonico, Alessia Francese, Eleonora Sarchi, Francesca Ugo, Costanza Massarino, Serena Penpa, Giorgia Piceni, Luisa Barrera-León, Alessandro Apeddu and 3 more

Abstract readObservational Study
In one paragraph

Observational study in Applied clinical informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Annalisa RovetaResearch Laboratories, Research and Innovation Department (DAIRI), Azienda Ospedaliero-Universitaria SS. Antonio e Biagio e Cesare Arrigo, Alessandria, Italy.
Massimo CanonicoIntegrated Laboratory of AI and Informatics in Medicine, DAIRI, Azienda Ospedaliero-Universitaria SS. Antonio e Biagio e Cesare Arrigo, and DISIT- University of Piemonte Orientale, Alessandria, Italy.
Alessia FranceseResearch Laboratories, Research and Innovation Department (DAIRI), Azienda Ospedaliero-Universitaria SS. Antonio e Biagio e Cesare Arrigo, Alessandria, Italy.
Eleonora SarchiInfectious Diseases Unit, Azienda Ospedaliero-Universitaria SS. Antonio e Biagio e Cesare Arrigo, Alessandria, Italy.
Francesca UgoResearch Laboratories, Research and Innovation Department (DAIRI), Azienda Ospedaliero-Universitaria SS. Antonio e Biagio e Cesare Arrigo, Alessandria, Italy.
Costanza MassarinoResearch Laboratories, Research and Innovation Department (DAIRI), Azienda Ospedaliero-Universitaria SS. Antonio e Biagio e Cesare Arrigo, Alessandria, Italy.
Serena PenpaResearch Training Innovation Infrastructure, Research and Innovation Department (DAIRI), Azienda Ospedaliero-Universitaria SS. Antonio e Biagio e Cesare Arrigo, Alessandria, Italy.
Giorgia PiceniResearch Training Innovation Infrastructure, Research and Innovation Department (DAIRI), Azienda Ospedaliero-Universitaria SS. Antonio e Biagio e Cesare Arrigo, Alessandria, Italy.
Luisa Barrera-LeónDepartment of Sciences and Technological Innovation, University of Piemonte Orientale, Alessandria, Italy.
Alessandro ApedduDepartment of Sciences and Technological Innovation, University of Piemonte Orientale, Alessandria, Italy.
Emanuele PicozziDepartment of Sciences and Technological Innovation, University of Piemonte Orientale, Alessandria, Italy.
Guido ChichinoInfectious Diseases Unit, Azienda Ospedaliero-Universitaria SS. Antonio e Biagio e Cesare Arrigo, Alessandria, Italy.
Antonio MaconiResearch Training Innovation Infrastructure, Research and Innovation Department (DAIRI), Azienda Ospedaliero-Universitaria SS. Antonio e Biagio e Cesare Arrigo, Alessandria, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human immunodeficiency virus (HIV) remains a significant global health challenge, especially in Europe, including Italy, where it affects thousands. Antiretroviral therapy (ART) has turned HIV into a manageable chronic condition, improving the quality of life and life expectancy for people living with HIV (PLWH). Enhancing health-related quality of life (HRQoL) is essential, as it positively influences therapy adherence.The objective of the study was to evaluate the impact of the AURORA system, a self-monitoring tool designed for HIV+ patients, on their quality of life and healthcare management. We aimed to assess specific aspects of well-being, including sleep quality, depression, and anxiety disorders, while also measuring patient satisfaction with the application and adherence to ART.Fifty HIV+ patients on a stable antiretroviral regimen for at least 6 months were recruited from the Infectious Diseases Department of AOU-AL and asked to download a health monitoring app. ART adherence, HRQoL, and project satisfaction were assessed through patient self-reports.A total of 50 virologically suppressed HIV+ patients were enrolled in the study, of whom eight were non-compliant with the protocol. The AURORA app was used from June 2023 to March 2024, demonstrating optimal adherence to therapy among compliant patients. A significant proportion (26.2%) reported that they found the app very beneficial, while less than 5% reported no benefit at all. Common feedback included the inability to modify certain notification settings. The results indicated significant correlations between sleep disturbances, anxiety, and depression. Patients liked the daily assessment of self-care, synchronously monitored by clinicians, and guaranteed privacy, but several improvements need to be made.Participant feedback will guide app enhancements, such as phone call integration, health data monitoring, and e-learning features to improve patient-clinician communication and personalized education. Future directions may include extending the project and adding a control group not using the app, allowing a comparison of therapy adherence and patient satisfaction between users and non-users. This would provide concrete data on the app's effectiveness in promoting therapy compliance.

Indexed as

HIV InfectionsMobile ApplicationsAdultFemaleHumansMaleMiddle AgedPatient SatisfactionQuality of LifeTelemedicine

Identifiers

PMID40533094
PMCPMC12176507

What OpenQuestion holds

Textmetadata
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.