Breastfeeding Self-efficacy: A Critical Review of Available Instruments.

Emily L Tuthill, Jacqueline M McGrath, Melanie Graber, Regina M Cusson, Sera L Young

Journal: Journal of human lactation : official journal of International Lactation Consultant Association 2017;32(1):35-45

PMID: 26319113

Abstract

Increasing breastfeeding rates in the United States is a national priority. Yet, initiation and duration of breastfeeding remains below national targets. Breastfeeding self-efficacy has been shown to be a strong predictor of both breastfeeding initiation and duration and is therefore an important characteristic to be able to measure. However, there is currently a myriad of instruments for measuring breastfeeding self-efficacy, which makes selection of an appropriate instrument difficult. Thus, our aim was to identify, compare, and critically review available breastfeeding self-efficacy instruments. In a systematic review, 6 breastfeeding self-efficacy instruments were identified. The instruments' purposes, theoretical framework, final scale development, and application in 5 most recent settings were analyzed. The 6 breastfeeding self-efficacy instruments apply a number of theoretical and conceptual frameworks in their development, with Bandura's social cognitive theory being most common. Content, construct, and predictive validity were strong for most scales. Some, but not all, have been successfully adapted to novel settings. In sum, there are several measurements of breastfeeding self-efficacy that can and should be employed to better understand reasons for suboptimal breastfeeding rates and the effects of interventions on breastfeeding self-efficacy. Instrument selection should be based on domains of primary interest, time available, peripartum timing, and assessment of previous adaptations. Failure to apply appropriate measures in research may garner results that are inconclusive, inaccurate, or nonrepresentative of true study effects.

© The Author(s) 2015.

Address: University of Connecticut School of Nursing, Storrs, CT, USA Center for Health Intervention and Prevention, University of Connecticut, Storrs, CT, USA [email protected].; University of Connecticut School of Nursing, Storrs, CT, USA.; Division of Nutritional Sciences and Department of Population Medicine and Diagnostic Sciences, Cornell University, Ithaca, NY, USA.
Bant logo

© Copyright 2026, Nutrition Evidence

NED wishes to thank the following organisations for their support:

We use cookies to improve your experience and analyze site traffic with Google Analytics. By continuing to use our site, you agree to our use of cookies. Learn more.