Evidence map›Paper›PMID 39311178›Full record

ArticleNursing reports (Pavia, Italy)2024

Content, Behaviour Change Techniques, and Quality of Postpartum Depression Apps to Be Recommended by Midwives: Systematic Search and Evaluation.

Amalia Ureña-Lorenzo, Maria Del Mar Fernandez-Alvarez, Judit Cachero-Rodríguez, Ruben Martin-Payo

Abstract read
In one paragraph

Article in Nursing reports (Pavia, Italy), 2024. 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

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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

4 authors.

Amalia Ureña-LorenzoPublic Health Service of Principado de Asturias, 33001 Asturias, Spain.ORCID 0009-0002-6874-3604
Maria Del Mar Fernandez-AlvarezFaculty of Medicine and Health Sciences, Universidad de Oviedo, 33006 Oviedo, Spain.ORCID 0000-0003-4603-2289
Judit Cachero-RodríguezFaculty of Medicine and Health Sciences, Universidad de Oviedo, 33006 Oviedo, Spain.ORCID 0000-0002-6966-9840
Ruben Martin-PayoFaculty of Medicine and Health Sciences, Universidad de Oviedo, 33006 Oviedo, Spain.ORCID 0000-0001-7835-4616

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPostpartum depression is a public health problem that affects a considerable percentage of women. Despite the proliferation of related apps, there are limited data available on the best apps to prevent postpartum depression. We identified which apps available in Spanish could be recommended by midwives based on their content, quality, and behaviour change techniques, as a complementary tool for preventing postpartum depression in women.

methodsA systematic search was performed to identify apps available on iOS App Store and Google Play, which were used to replicate how patients' access "postpartum depression prevention" apps. Apps' quality, behaviour change potential, and contents were assessed.

resultsA total of 1408 apps were identified, of which 7 were retrieved for assessment (0.5%). The mean objective and subject quality were 3.1 (SD = 1.01) and 2.7 (SD = 1.27), respectively. A total of 24 topics were identified. The mean ABACUS score was 6.6 (SD = 3.64), and the mean number of topics addressed by the apps was 9.9 (SD = 5.90).

conclusionThe results of the present study suggest that a specific free app is not available in Spanish for the prevention of postpartum depression, and only a small percentage of free apps should be recommended based on their quality, BCTs, and contents. The systematic review protocol was not registered.

Indexed as

health promotionmobile healthpostpartum depression

Identifiers

PMID39311178
PMCPMC11435284

What Socratic holds

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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 Socratic graph.