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Published on: February 5, 2019
Breastfeeding Self-efficacy: A Critical Review of Available Instruments
Emily L Tuthill1, Jacqueline M McGrath2, Melanie Graber3
1University of Connecticut School of Nursing, Storrs, CT, USA Center for Health Intervention and Prevention, University of Connecticut, Storrs, CT, USA emily.tuthill@uconn.edu.
Measuring breastfeeding self-efficacy is crucial for increasing rates. This review identifies and compares six instruments, aiding researchers in selecting the best tool to understand breastfeeding behaviors.
Area of Science:
- Public Health
- Maternal and Child Health
- Psychology
Background:
- Increasing breastfeeding rates is a US national priority, yet current rates remain below targets.
- Breastfeeding self-efficacy strongly predicts initiation and duration, making its measurement vital.
- A wide variety of instruments exist for measuring breastfeeding self-efficacy, complicating selection.
Purpose of the Study:
- To identify, compare, and critically review available breastfeeding self-efficacy instruments.
- To analyze the purpose, theoretical framework, development, and application of existing instruments.
- To guide researchers in selecting appropriate measures for studying breastfeeding behaviors.
Main Methods:
- A systematic review was conducted to identify relevant breastfeeding self-efficacy instruments.
- Six instruments were identified and analyzed for their theoretical underpinnings and psychometric properties.
- The application of these instruments in recent research settings was also examined.
Main Results:
- Six breastfeeding self-efficacy instruments were identified, commonly utilizing Bandura's social cognitive theory.
- Most instruments demonstrated strong content, construct, and predictive validity.
- Adaptability to novel settings varied among the reviewed instruments.
Conclusions:
- Several validated breastfeeding self-efficacy instruments are available for research use.
- Appropriate instrument selection is critical for accurate understanding of breastfeeding rates and intervention effects.
- Considerations for selection include primary interest domains, time, timing, and prior adaptations.
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