Jennifer L Barkin1, Gordon B Willis2, Kristina C Hawkins3, Tiffany Stanfill-Thomas4, Laura Beals5, Joan R Bloch6. 1. Department of Community Medicine, Mercer University School of Medicine, Macon, Georgia, USA. 2. National Institutes of Health, National Cancer Institute, Rockville, Maryland, USA. 3. Department of Obstetrics and Gynecology, Mercer University School of Medicine, Macon, Georgia, USA. 4. Tanner Health System, West, Georgia Healthcare for Women, Carrollton, Georgia, USA. 5. Jewish Family & Children's Service, Waltham, Massachusetts, USA. 6. College of Nursing and Health Professions, Drexel University, Philadelphia, Pennsylvania, USA.
Abstract
PURPOSE: This study aims to evaluate the fitness of the Barkin Index of Maternal Functioning (BIMF) for postpartum functional assessment in a low-income obstetric population in medically underserved, Central Georgia (USA). DESIGN AND METHODS: Cognitive interviewing, a best practices approach to instrument development and validation, was performed on 24 new mothers. FINDINGS: The BIMF was comprehensible to this population of disadvantaged women. PRACTICE IMPLICATIONS: The BIMF has broad appeal due to its comprehensibility, patient-centered assessment style, and psychometric profile. Method of questionnaire administration and characteristics of the study and/or patient population should routinely be considered when implementing any type of self-reported health screening.
PURPOSE: This study aims to evaluate the fitness of the Barkin Index of Maternal Functioning (BIMF) for postpartum functional assessment in a low-income obstetric population in medically underserved, Central Georgia (USA). DESIGN AND METHODS: Cognitive interviewing, a best practices approach to instrument development and validation, was performed on 24 new mothers. FINDINGS: The BIMF was comprehensible to this population of disadvantaged women. PRACTICE IMPLICATIONS: The BIMF has broad appeal due to its comprehensibility, patient-centered assessment style, and psychometric profile. Method of questionnaire administration and characteristics of the study and/or patient population should routinely be considered when implementing any type of self-reported health screening.
Authors: Jennifer L Barkin; Katherine L Wisner; Joyce T Bromberger; Scott R Beach; Stephen R Wisniewski Journal: J Womens Health (Larchmt) Date: 2015-11-24 Impact factor: 2.681
Authors: Kristen G Williams; Kayla T Patel; Julie M Stausmire; Christy Bridges; Mary W Mathis; Jennifer L Barkin Journal: Int J Environ Res Public Health Date: 2018-01-03 Impact factor: 3.390
Authors: Fatemeh Karami Chamgurdani; Jennifer L Barkin; Carolann L Curry; Mojgan Mirghafourvand Journal: Int J Environ Res Public Health Date: 2020-05-12 Impact factor: 3.390