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

作者信息

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

机构信息

Public Health Service of Principado de Asturias, 33001 Asturias, Spain.

Faculty of Medicine and Health Sciences, Universidad de Oviedo, 33006 Oviedo, Spain.

出版信息

Nurs Rep. 2024 Sep 6;14(3):2291-2301. doi: 10.3390/nursrep14030170.


DOI:10.3390/nursrep14030170
PMID:39311178
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11435284/
Abstract

BACKGROUND: Postpartum 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. METHODS: A 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. RESULTS: A 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). CONCLUSION: The 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.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b1ab/11435284/11831db2d2ed/nursrep-14-00170-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b1ab/11435284/11831db2d2ed/nursrep-14-00170-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b1ab/11435284/11831db2d2ed/nursrep-14-00170-g001.jpg

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引用本文的文献

[1]
Validation of a Questionnaire Assessing Pregnant Women's Perspectives on Addressing the Psychological Challenges of Childbirth.

Nurs Rep. 2024-12-31

本文引用的文献

[1]
Usability and Quality Evaluation of the "E- Midwife" Mobile Application for Nurse-Midwives in Obstetric Complications: A Randomized Controlled Trial.

Int J Community Based Nurs Midwifery. 2023-10

[2]
Prevalence of postpartum major depression and depressive symptoms in Spanish women: A longitudinal study up to 1 year postpartum.

Midwifery. 2023-11

[3]
Excessive gestational weight gain and emotional eating are positively associated with postpartum depressive symptoms among taiwanese women.

BMC Womens Health. 2023-9-1

[4]
Predictors of Postpartum Depression Among Women with Low Incomes in the United States.

MCN Am J Matern Child Nurs. 2023

[5]
Association of Social Support and Postpartum Depression According to the Time After Childbirth in South Korea.

Psychiatry Investig. 2023-8

[6]
Postpartum Insomnia and Poor Sleep Quality Are Longitudinally Predictive of Postpartum Mood Symptoms.

Psychosom Med. 2023-10-1

[7]
Dairy products intake and the risk of postpartum depression among mothers: A pilot study.

SAGE Open Med. 2023-7-20

[8]
The effect of digital health interventions on postpartum depression or anxiety: a systematic review and meta-analysis of randomized controlled trials.

Am J Obstet Gynecol. 2024-1

[9]
App-based interventions for the prevention of postpartum depression: a systematic review and meta-analysis.

BMC Pregnancy Childbirth. 2023-6-14

[10]
Acceptability of an mHealth App for Monitoring Perinatal and Postpartum Mental Health: Qualitative Study With Women and Providers.

JMIR Form Res. 2023-6-7

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