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OptimalMe Intervention for Healthy Preconception, Pregnancy, and Postpartum Lifestyles: Protocol for a Randomized
Cheryce L Harrison1,2, Bonnie R Brammall1, Rhonda Garad1
1Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Clayton, Australia.
JMIR Research Protocols
|June 9, 2022
Summary
This study evaluates a digital healthy lifestyle intervention for women of reproductive age, aiming to improve health behaviors during preconception, pregnancy, and postpartum periods. Findings will guide the scale-up of effective interventions for maternal health.
Area of Science:
- Implementation Science
- Public Health
- Maternal Health
Background:
- Reproductive-aged women are at high risk for obesity, with pregnancy exacerbating weight gain.
- Antenatal healthy lifestyle interventions improve maternal and infant outcomes but face implementation challenges in healthcare settings.
Purpose of the Study:
- To gather implementation learnings for scaling up healthy lifestyle interventions.
- To assess intervention delivery methods' effectiveness on engagement, experience, and health behaviors.
- To evaluate outcomes across preconception, pregnancy, and postpartum periods.
Main Methods:
- A randomized hybrid implementation effectiveness study of the OptimalMe intervention in private healthcare.
- 300 women (18-44 years) wishing to conceive will receive the digital intervention with health coaching and text support.
- Compares telephone vs. videoconference coaching delivery; theoretically underpinned by CFIR and RE-AIM frameworks.
Main Results:
- Study approved and registered in August 2019.
- Recruitment began in July 2020; data collection is ongoing.
- Results are anticipated for publication in 2022.
Conclusions:
- The study design follows best practices in implementation research.
- Results will inform the translation of evidence-based lifestyle interventions into practice for women.
- Learnings will guide consumers, facilitators, professionals, services, and policymakers for future scale-up.
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