Literature DB >> 32223070

Assessing the quality of mobile applications targeting postpartum depression in China.

Ying Li1, Qian Zhao1, Wendy M Cross2, Jiarui Chen1, Chunxiang Qin3, Mei Sun1,4.   

Abstract

Postpartum depression is a serious mental illnessdisorder that occurs after delivery and is one of the most common post-partum complications. With the increasing popularity and extensive use of smartphones worldwide and the fact that China has become the country with the largest number of smartphone users, it is necessary to have a deep understanding of the use and influence of smartphones and discuss the role of smartphone applications in postpartum depression. This study evaluated and analysed the contents of all postpartum depression applications available in China, applying the US Preventive Services Task Force Recommendation Statement (Interventions to Prevent Perinatal Depression) and expert consensus on the guidelines for the prevention and treatment of postpartum depression. We used the keywords 'postpartum depression; and 'PPD' to search Android, iOS, and WeChat in the Chinese application market. Two reviewers agreed on the coding guidelines and coded the content and functionality of the application through content analysis to determine its intervention and adherence to the guidelines. In addition, we used the Mobile App Rating Scale (MARS) to evaluate the application for engagement, functionality, aesthetics, and information domains and recorded the features of the postpartum depression application. The current findings suggest that despite the recent expansion of smartphone platforms and increased availability of applications, existing Chinese apps for postpartum depression have low levels of adherence to clinical practice-based guidelines. New apps need to be developed, and existing apps need to be revised following evidence-based principles.
© 2020 Australian College of Mental Health Nurses Inc.

Entities:  

Keywords:  content analysis; mental health; mobile application; mobile health; postpartum depression

Mesh:

Year:  2020        PMID: 32223070     DOI: 10.1111/inm.12713

Source DB:  PubMed          Journal:  Int J Ment Health Nurs        ISSN: 1445-8330            Impact factor:   3.503


  3 in total

1.  Assessment of the Quality of Mobile Applications (Apps) for Management of Low Back Pain Using the Mobile App Rating Scale (MARS).

Authors:  Adrian Escriche-Escuder; Irene De-Torres; Cristina Roldán-Jiménez; Jaime Martín-Martín; Antonio Muro-Culebras; Manuel González-Sánchez; Maria Ruiz-Muñoz; Fermín Mayoral-Cleries; Attila Biró; Wen Tang; Borjanka Nikolova; Alfredo Salvatore; Antonio I Cuesta-Vargas
Journal:  Int J Environ Res Public Health       Date:  2020-12-09       Impact factor: 3.390

2.  Home-based nursing for improvement of quality of life and depression in patients with postpartum depression.

Authors:  Chun-Yu Zhuang; Sheng-Ying Lin; Chen-Jia Cheng; Xiao-Jing Chen; Hui-Ling Shi; Hong Sun; Hong-Yu Zhang; Mian-Ai Fu
Journal:  World J Clin Cases       Date:  2020-10-26       Impact factor: 1.337

Review 3.  mHealth and Perinatal Depression in Low-and Middle-Income Countries: A Scoping Review of the Literature.

Authors:  Aliyah Dosani; Harshmeet Arora; Sahil Mazmudar
Journal:  Int J Environ Res Public Health       Date:  2020-10-21       Impact factor: 3.390

  3 in total

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