Evidence map›Paper›PMID 36407983›Full record

ArticleFrontiers in public health2022

A smartphone app to improve the safety of patients undergoing treatment with oral antineoplastic agents: 4 years of experience in a university hospital.

Cristina Villanueva-Bueno, Roberto Collado-Borrell, Vicente Escudero-Vilaplana, José Luis Revuelta-Herrero, María Belén Marzal-Alfaro, Eva González-Haba, José Ángel Arranz-Arija, Santiago Osorio, Ana Herranz-Alonso, María Sanjurjo-Saez

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

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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

10 authors at 1 institution in 1 country.

Cristina Villanueva-BuenoPharmacy Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
Roberto Collado-BorrellPharmacy Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
Vicente Escudero-VilaplanaPharmacy Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
José Luis Revuelta-HerreroPharmacy Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
María Belén Marzal-AlfaroPharmacy Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
Eva González-HabaPharmacy Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
José Ángel Arranz-ArijaInstituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.
Santiago OsorioInstituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.
Ana Herranz-AlonsoPharmacy Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
María Sanjurjo-SaezPharmacy Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
Hospital General Universitario Gregorio Marañón · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to analyze the impact of the eOncosalud app on the management and follow-up of adverse effects (AE) in patients receiving oral antineoplastic agents. Material and methods: We performed an observational, prospective study of cancer outpatients treated with oral antineoplastic agents (OAA), monitored by the eOncosalud app between August 2017 and October 2021. Safety variables were collected from eOncosalud: the number of AE; severity of the AE according to CTCAE, version 4.03; timelapse from app installation to first recorded AE; automatic recommendations issued; and the patient's acceptance of the recommendations made. To assess the impact of the recommendations generated by the algorithm, we calculated the positive predictive value (PPV) as the number of recommendations accepted out of the total number of recommendations generated. Safety-related patient messages were also analyzed (AE, drug-drug interactions, drug administration). Result: The app was downloaded and used by 186 patients (58.0% women), with a mean age of 59.0 years. A total of 1,368 AE were recorded, the most frequent being fatigue (19.37%), diarrhea (18.20%), and skin changes (9.21%). Regarding the recommendations issued by the app algorithm, 102 patients received 344 information brochures, 39 patients received 51 recommendations for supportive care to control AE, 60 patients received 240 recommendations to visit their primary care doctor, 14 patients received 16 recommendations to contact their specialist pharmacist or oncologist-hematologist, and 34 patients received 73 recommendations to go to the emergency room. The suggestion to go to the emergency room and contact the specialist pharmacist or oncologist-hematologist had a PPV of 0.51 and 0.35, respectively. Half of the patients (50.4%) used the messaging module. A total of 1,668 messages were sent. Of these, 47.8% were related to treatment safety: AE, 22.7%; drug-drug interactions, 20.6%; drug administration, 3.6%; and missing a dose, 1.0%. Conclusions: The eOncosalud app enables close, real-time monitoring of patients treated with OAA. The automatic recommendations through the app's algorithm have optimized available healthcare resources. The app facilitated early detection of AE, thus enabling patients themselves to improve the safety of their treatment.

Indexed as

Antineoplastic AgentsMobile ApplicationsNeoplasmsFemaleHospitals, UniversityHumansMaleMiddle AgedProspective StudiesAntineoplastic Agentscancermhealthoral antineoplastic agentssafetysmartphone

Identifiers

PMID36407983
PMCPMC9672512
OpenAlexW4308331904

What OpenQuestion holds

Textmetadata
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.