Evidence map›Paper›PMID 35673137›Full record

ArticleStudies in health technology and informatics2022

Mobile Health Applications for Postpartum Depression Management: A Theory-Informed Analysis of Change-Use-Engagement (CUE) Criteria in the Digital Environment.

Alexandra Zingg, Laura Carter, Deevakar Rogith, Sudhakar Selvaraj, Amy Franklin, Sahiti Myneni

Open access · hybridAbstract read
In one paragraph

Article in Studies in health technology and informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
10.2field-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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. Article
  3. 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

6 authors at 1 institution in 1 country.

Alexandra ZinggSchool of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, USA.
Laura CarterSchool of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, USA.
Deevakar RogithSchool of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, USA.
Sudhakar SelvarajFaillace Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, McGovern Medical School, Houston, Texas, USA.
Amy FranklinSchool of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, USA.
Sahiti MyneniSchool of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, USA.
The University of Texas Health Science Center at Houston · US

Funding

Pragmatics to Reveal Intention in Social Media (PRISM) for Health PromotionR01LM012974 · NLM · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MYNENI, SAHITI · 2019 to 2022
$1.5M
NLM NIH HHS R01 LM012974
6 · The paper itself

Abstract

Postpartum Depression (PPD) is the most common childbirth complication, with approximately 15% of postpartum women experiencing depression symptoms. Mobile applications have potential to expand delivery of mental health interventions. However, our understanding of how these tools engage women with PPD and facilitate positive behavioral changes is limited. In our paper, we analyze 15 commercial PPD applications to understand their role as facilitators of change, engagement, and sustained use. Applications reviewed contained an average of four theory-based behavioral change techniques, and highest patient engagement level reached was to empower patients through patient-generated data. Heuristic violations were identified in areas including user control and freedom, aesthetic and minimalist design, and help and documentation. An inverse correlation was found between the number of theory-based behavior change features and patient engagement. Findings suggest underserved populations may suffer further limitations accessing relevant health resources in the current application market.

Indexed as

Depression, PostpartumMobile ApplicationsTelemedicineFemaleHumansMental HealthMental HealthMobile HealthPostpartum Depression

Identifiers

PMID35673137
PMCPMC11418588
OpenAlexW4281869969

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.