Evidence map›Paper›PMID 35047896›Full record

ArticleFrontiers in medical technology2020

Digital Medication Adherence Support: Could Healthcare Providers Recommend Mobile Health Apps?

Claudine Backes, Carla Moyano, Camille Rimaud, Christine Bienvenu, Marie P Schneider

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medical technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
9.3field-weighted citation impact, top 2% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 43 citations in OpenAlex.

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  14. Post-transplant education for kidney recipients and their caregivers.Pediatric nephrology (Berlin, Germany) · 2023
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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

5 authors at 2 institutions in 1 country.

Claudine BackesLab of Medication Adherence and Interprofessionality, School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland.
Carla MoyanoInstitute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland.
Camille RimaudInstitute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland.
Christine BienvenuCenter for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland.
Marie P SchneiderLab of Medication Adherence and Interprofessionality, School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland.
HES-SO University of Applied Sciences and Arts Western Switzerland · CHCentre universitaire de médecine générale et santé publique, Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adherence to prescribed medication is suboptimal in 50% of the chronic population, resulting in negative medical and economic outcomes. With the widespread use of mobile phones worldwide, medication adherence apps for mobile phones become promising medication adherence aids thanks to simplicity, user-friendliness, and accessibility for the public. Yet, until today, there is insufficient evidence in favor of using mobile health (mHealth) apps to increase medication adherence. This study aims to develop a methodology for scientific and end-user (patient) mHealth evaluation (a) to identify medication adherence apps search terms, (b) to evaluate identified apps based on scientific criteria, and (c) to report best smartphone apps evaluated by patients. Search terms were identified

Indexed as

app evaluationchronic diseaseseHealthhealthcare providermedication adherencemHealthpharmacists

Identifiers

PMID35047896
PMCPMC8757821
OpenAlexW3130439095

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.