Out of the silos: identifying cross-cutting features of health-related stigma to advance measurement and intervention.

Published online

Journal Article

BACKGROUND: Many health conditions perceived to be contagious, dangerous or incurable, or resulting in clearly visible signs, share a common attribute - an association with stigma and discrimination. While the etiology of stigma may differ between conditions and, sometimes, cultural settings, the manifestations and psychosocial consequences of stigma and discrimination are remarkably similar. However, the vast majority of studies measuring stigma or addressing stigma through interventions employ a disease-specific approach. MAIN BODY: The current paper opposes this siloed approach and advocates a generic concept of 'health-related stigma' in both stigma measurement and stigma interventions. Employing a conceptual model adapted from Weiss, the current paper demonstrates the commonalities among several major stigmatized conditions by examining how several stigma measurement instruments, such as the Social Distance Scale, Explanatory Model Interview Catalogue, Internalized Stigma of Mental Illness, and Berger stigma scale, and stigma reduction interventions, such as information-based approaches, contact with affected persons, (peer) counselling, and skills building and empowerment, were used successfully across a variety of conditions to measure or address stigma. The results demonstrate that 'health-related stigma' is a viable concept with clearly identifiable characteristics that are similar across a variety of stigmatized health conditions in very diverse cultures. CONCLUSION: A more generic approach to the study of health-related stigma opens up important practical opportunities - cross-cutting measurement and intervention tools are resource saving and easier to use for personnel working with multiple conditions, allow for comparison between conditions, and recognize the intersectionality of many types of stigma. Further research is needed to build additional evidence demonstrating the advantages and effectiveness of cross-condition approaches to stigma measurement and interventions.

Full Text

Duke Authors

Cited Authors

  • van Brakel, WH; Cataldo, J; Grover, S; Kohrt, BA; Nyblade, L; Stockton, M; Wouters, E; Yang, LH

Published Date

  • February 15, 2019

Published In

Volume / Issue

  • 17 / 1

Start / End Page

  • 13 -

PubMed ID

  • 30764817

Pubmed Central ID

  • 30764817

Electronic International Standard Serial Number (EISSN)

  • 1741-7015

Digital Object Identifier (DOI)

  • 10.1186/s12916-018-1245-x

Language

  • eng

Conference Location

  • England