TY - JOUR
T1 - The Importance of Evaluating Health Disparities Research
AU - Dye, Bruce A.
AU - Duran, Deborah G.
AU - Murray, David M.
AU - Creswell, John W.
AU - Richard, Patrick
AU - Farhat, Tilda
AU - Breen, Nancy
AU - Engelgau, Michael M.
N1 - Publisher Copyright:
© 2019 Authors. All rights reserved.
PY - 2019/1
Y1 - 2019/1
N2 - Health disparity populations are socially disadvantaged, and the multiple levels of discrimination they often experience mean that their characteristics and attributes differ from those of the mainstream. Programs and policies targeted at reducing health disparities or improving minority health must consider these differences. Despite the importance of evaluating health disparities research to produce high-quality data that can guide decision-making, it is not yet a customary practice. Although health disparities evaluations incorporate the same scientific methods as all evaluations, they have unique components such as population characteristics, sociocultural context, and the lack of health disparity common indicators and metrics that must be considered in every phase of the research. This article describes evaluation strategies grouped into 3 components: formative (needs assessments and process), design and methodology (multilevel designs used in real-world settings), and summative (outcomes, impacts, and cost). Each section will describe the standards for each component, discuss the unique health disparity aspects, and provide strategies from the National Institute on Minority Health and Health Disparities Metrics and Measures Visioning Workshop (April 2016) to advance the evaluation of health disparities research.
AB - Health disparity populations are socially disadvantaged, and the multiple levels of discrimination they often experience mean that their characteristics and attributes differ from those of the mainstream. Programs and policies targeted at reducing health disparities or improving minority health must consider these differences. Despite the importance of evaluating health disparities research to produce high-quality data that can guide decision-making, it is not yet a customary practice. Although health disparities evaluations incorporate the same scientific methods as all evaluations, they have unique components such as population characteristics, sociocultural context, and the lack of health disparity common indicators and metrics that must be considered in every phase of the research. This article describes evaluation strategies grouped into 3 components: formative (needs assessments and process), design and methodology (multilevel designs used in real-world settings), and summative (outcomes, impacts, and cost). Each section will describe the standards for each component, discuss the unique health disparity aspects, and provide strategies from the National Institute on Minority Health and Health Disparities Metrics and Measures Visioning Workshop (April 2016) to advance the evaluation of health disparities research.
UR - http://www.scopus.com/inward/record.url?scp=85060916297&partnerID=8YFLogxK
U2 - 10.2105/AJPH.2018.304808
DO - 10.2105/AJPH.2018.304808
M3 - Article
C2 - 30699014
AN - SCOPUS:85060916297
SN - 0090-0036
VL - 109
SP - S34-S40
JO - American Journal of Public Health
JF - American Journal of Public Health
ER -