Evidence map›Paper›PMID 36141922›Full record

ArticleInternational journal of environmental research and public health2022

Study Protocol of an App-Based Prevention Program for Perinatal Depression.

Xiangmin Tan, Yuqing He, Nan Hua, James Wiley, Mei Sun

Open access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 44% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. 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

5 authors at 2 institutions in 2 countries.

Xiangmin TanXiangya School of Nursing, Central South University, Changsha 410013, China.ORCID 0000-0001-8129-3770
Yuqing HeXiangya School of Nursing, Central South University, Changsha 410013, China.
Nan HuaXiangya School of Nursing, Central South University, Changsha 410013, China.
James WileySchool of Nursing, University of California, San Francisco, CA 94118, USA.
Mei SunXiangya School of Nursing, Central South University, Changsha 410013, China.
Central South University · CNUniversity of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence of perinatal depression (PND) in China is continuously rising, and the suicide rate among pregnant women is remarkably high. Preventing the occurrence of PND based on the management of primary health care is of great significance. Improving adherence to intervention programs is a key concern for PND prevention. Thus, a new intervention strategy based on mobile health could bring a new perspective to prevent the occurrence of PND and reduce the sample dropout rate. A single-blind, cluster randomized controlled trial will be performed to evaluate the effectiveness of a personalized, dynamic, and stratified intervention strategy based on an app. Four health centers will be randomly selected and randomly assigned to an intervention group (two centers) and a control group (two centers). Participants (

Indexed as

Depression, PostpartumMobile ApplicationsDepressionFemaleHumansPregnancyPsychiatric Status Rating ScalesRandomized Controlled Trials as TopicSingle-Blind Methodcognitive behavior trainingmobile phone applicationnegative emotion symptomparenting competenceperinatal depression

Identifiers

PMID36141922
PMCPMC9517436
OpenAlexW4296049700

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.