Evidence map›Paper›PMID 37197412›Full record

ArticleDigital health

Assessment of content, behavior change techniques, and quality of unintended pregnancy apps in Spain: Systematic search on app stores.

Rubén Martín-Payo, Xana Gonzalez-Mendez, Sergio Carrasco-Santos, Aranzazu Muñoz-Mancisidor, Cristina Papin-Cano, María Del Mar Fernandez-Alvarez

Open access · goldAbstract read
In one paragraph

Article in Digital health. 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
0.4field-weighted citation impact, top 34% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

6 authors at 2 institutions in 1 country.

Rubén Martín-PayoFacultad de Medicina y Ciencias de la Salud, Universidad de Oviedo, Oviedo, Spain.ORCID https://orcid.org/0000-0001-7835-4616
Xana Gonzalez-MendezFacultad de Medicina y Ciencias de la Salud, Universidad de Oviedo, Oviedo, Spain.
Sergio Carrasco-SantosFacultad de Medicina y Ciencias de la Salud, Universidad de Oviedo, Oviedo, Spain.
Aranzazu Muñoz-MancisidorFacultad de Medicina y Ciencias de la Salud, Universidad de Oviedo, Oviedo, Spain.
Cristina Papin-CanoPRECAM Research Group, Instituto de Investigación Sanitaria del Principado de Asturias, Oviedo, Spain.ORCID https://orcid.org/0000-0002-7999-8875
María Del Mar Fernandez-AlvarezFacultad de Medicina y Ciencias de la Salud, Universidad de Oviedo, Oviedo, Spain.
Universidad de Oviedo · ESInstituto de Investigación Sanitaria del Principado de Asturias · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Unintended pregnancies are a public health problem that represents 48% of global pregnancies. Despite the proliferation of smartphones there is limited data on the app's features on unintended pregnancy. The purpose of this research was to identify free apps available in Spanish, in the iOS Store and Google Play, which can be recommended to prevent unintended pregnancies in adolescents. Methods: A systematic search to identify apps was performed in the iOS App Store and in Google Play aiming to replicate the way a patient might access an "unintended pregnancy prevention" app. Additionally, the quality, using the Mobile Application Rating Scale, and content were assessed. Results: A total of 4614 apps were identified, of which 8 were retrieved for assessment (0.17%). The mean for objective and subject quality was 3.39 (standard deviation (SD) = 0.694) and 1.84 (SD = 0.626), respectively. A total of 16 thematic categories were identified. The mean of topics covered in the apps was 5.38 (SD = 2.925) being those related to contraception the more frequent. Conclusion: The results of the present study suggest that only a small percentage of free pregnancy prevention apps in Spanish should be recommended. The contents of the apps retrieved meet the potential necessities of adolescents.

Indexed as

Adolescentcell phonehealth promotionmHealthpregnancyunwanted

Identifiers

PMID37197412
PMCPMC10184260
OpenAlexW4377011796

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.