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An Analytical Mobile App for Shared Decision Making About Prenatal Screening: Protocol for a Mixed Methods Study.

Samira Abbasgholizadeh Rahimi^1,2, Patrick M Archambault^3,4,5, Vardit Ravitsky⁶

¹Department of Family Medicine, McGill University, Montreal, QC, Canada.

JMIR Research Protocols

|October 10, 2019

Summary

This summary is machine-generated.

This study developed a mobile app to help pregnant women make informed prenatal screening decisions. The app facilitates shared decision making (SDM) by presenting clear information on screening options, risks, and benefits.

Keywords:

analytic hierarchy process decision aid mobile app multiple criteria decision analysis prenatal screening shared decision making

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Area of Science:

Reproductive Health
Medical Informatics
Decision Science

Background:

Prenatal screening decisions for genetic conditions like Down syndrome are complex.
Increasingly diverse testing options necessitate informed choices.
Mobile technology can enhance shared decision making (SDM) through decision aids.

Purpose of the Study:

Assess pregnant women's needs for a prenatal screening decision app.
Develop a decision model using the analytic hierarchy process (AHP).
Create and evaluate an analytical app for prenatal screening decisions.

Main Methods:

Mixed methods study involving 90 pregnant women and partners.
Semistructured interviews and questionnaires to assess needs and preferences.
Analytic hierarchy process (AHP) for decision modeling; app development and pilot testing.

Main Results:

Recruitment for phase 1 began in 2019; results expected in 2021.
Development of a validated analytical app prototype.
Pilot testing to assess app usability and usefulness.

Conclusions:

A validated analytical app will support informed prenatal screening choices.
The app aids in clarifying values and weighing options for personalized decisions.
The user-friendly app enhances SDM between pregnant women and healthcare providers.