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

Xiangmin Tan1, Yuqing He1, Nan Hua1

  • 1Xiangya School of Nursing, Central South University, Changsha 410013, China.

International Journal of Environmental Research and Public Health
|September 23, 2022
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Summary
This summary is machine-generated.

A mobile health app offers personalized interventions to prevent perinatal depression (PND) in China. This strategy aims to improve adherence and reduce dropout rates, promoting maternal mental health.

Keywords:
cognitive behavior trainingmobile phone applicationnegative emotion symptomparenting competenceperinatal depression

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Area of Science:

  • Perinatal mental health
  • Digital health interventions
  • Primary healthcare management

Background:

  • Perinatal depression (PND) prevalence is rising in China, with high maternal suicide rates.
  • Effective PND prevention is crucial, necessitating improved adherence to intervention programs.
  • Mobile health (mHealth) offers a novel approach to PND prevention and reducing participant dropout.

Purpose of the Study:

  • To evaluate the effectiveness of a personalized, dynamic, and stratified mHealth intervention for PND prevention.
  • To assess the impact of the intervention on depression status, negative emotions, and parental competence.
  • To determine the intervention's effect on reducing sample dropout rates in a primary care setting.

Main Methods:

  • A single-blind, cluster randomized controlled trial involving 426 participants across four health centers.
  • Intervention group received app-based personalized, dynamic, and stratified interventions based on Edinburgh Postnatal Depression Scale (EPDS) scores.
  • Control group received app components without dynamic personalization; data collected pre- and post-partum up to 12 months.

Main Results:

  • The study aims to demonstrate the effectiveness of the personalized mHealth intervention in reducing PND.
  • Expected outcomes include improved maternal mental health indicators and reduced participant attrition.
  • The intervention is designed to be personalized, time-efficient, and dynamic for PND prevention.

Conclusions:

  • A personalized, dynamic mHealth strategy shows promise for preventing PND in China.
  • This approach can enhance intervention adherence and significantly decrease sample dropout rates.
  • Findings will provide an empirical basis for promoting maternal mental health through digital interventions.