Literature DB >> 20629926

A review of the psychometric properties of breastfeeding assessment tools.

Yen-Ju Ho1, Jacqueline M McGrath.   

Abstract

OBJECTIVE: To compare and contrast the clinical usefulness and psychometric properties of existing self-report instruments designed to assess maternal breastfeeding attitudes, experience, satisfaction, and confidence. DATA SOURCES: CINAHL, PsycINFO, MEDLINE, PubMed databases from 1990 through 2009, and reference lists from selected articles were included in the search. Only published research articles written in English that provided reliability and validity of the self-report instruments for breastfeeding assessment were reviewed. STUDY SELECTION: A total of 301 articles were retrieved according to the initial selection criteria; 24 articles met the final inclusion criteria. DATA EXTRACTION: Data extracted from research studies addressing the purpose of the review and demonstrating psychometric properties were presented. DATA SYNTHESIS: Seven breastfeeding assessment tools were identified, and each tool demonstrated acceptable reliability and validity.
CONCLUSION: Seven self-report instruments were found to be valid, reliable, and feasible measures for assessing breastfeeding relationships. But two of the seven self-report instruments were only tested in one study, and only one study used a self-report instrument (the Breastfeeding Attrition Prediction Tool-BAPT) to test the effectiveness of an intervention. It is recommended that researchers consider using the existing self-report instruments in future experimental studies to test the feasibility and effectiveness of breastfeeding interventions. Moreover, it is important to continue to conduct more well designed research to further test and refine these self-report instruments in a variety of diverse populations and ethnic groups and to further examine their psychometric properties. Clinical applications have not been well addressed and need to be considered in the design of these future works. Understanding how to best support the breastfeeding mother must be the long-term outcome of instrument development in this area.

Mesh:

Year:  2010        PMID: 20629926     DOI: 10.1111/j.1552-6909.2010.01153.x

Source DB:  PubMed          Journal:  J Obstet Gynecol Neonatal Nurs        ISSN: 0090-0311


  9 in total

Review 1.  Efficacy of e-technologies in improving breastfeeding outcomes among perinatal women: a meta-analysis.

Authors:  Ying Lau; Tha P Htun; Wai S W Tam; Piyanee Klainin-Yobas
Journal:  Matern Child Nutr       Date:  2015-07-21       Impact factor: 3.092

2.  Predicting breastfeeding duration related to maternal attitudes in a taiwanese sample.

Authors:  Yen-Ju Ho; Jacqueline M McGrath
Journal:  J Perinat Educ       Date:  2011

3.  Attitudes of high school and vocational school students toward breastfeeding in taiwan.

Authors:  Yen-Ju Ho; Chao-Chin Yu
Journal:  J Perinat Educ       Date:  2014

4.  Maternal psychological distress and child weight at 24 months: investigating indirect effects through breastfeeding in the All Our Families cohort.

Authors:  Matthew Shay; Lianne Tomfohr-Madsen; Suzanne Tough
Journal:  Can J Public Health       Date:  2020-03-25

5.  Revision of the Beginning Breastfeeding Survey: a cumulative assessment of breastfeeding.

Authors:  Pamela Mulder
Journal:  J Nurs Meas       Date:  2013

6.  The development of a new breast feeding assessment tool and the relationship with breast feeding self-efficacy.

Authors:  Jenny Ingram; Debbie Johnson; Marion Copeland; Cathy Churchill; Hazel Taylor
Journal:  Midwifery       Date:  2014-07-14       Impact factor: 2.372

7.  Validation of the Breastfeeding Score-A Simple Screening Tool to Predict Breastfeeding Duration.

Authors:  Hanne Kronborg; Michael Vaeth
Journal:  Nutrients       Date:  2019-11-21       Impact factor: 5.717

8.  Psychometric properties of the original and short Hungarian version of the Iowa infant feeding attitude scale.

Authors:  Renáta Ungváry; András Ittzés; Veronika Bóné; Szabolcs Török
Journal:  Int Breastfeed J       Date:  2021-07-16       Impact factor: 3.461

9.  Predictors of exclusive breastfeeding: observations from the Alberta pregnancy outcomes and nutrition (APrON) study.

Authors:  Mahsa Jessri; Anna P Farmer; Katerina Maximova; Noreen D Willows; Rhonda C Bell
Journal:  BMC Pediatr       Date:  2013-05-16       Impact factor: 2.125

  9 in total

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