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

Publication ,  Journal Article
van Brakel, WH; Cataldo, J; Grover, S; Kohrt, BA; Nyblade, L; Stockton, M; Wouters, E; Yang, LH
Published in: BMC Med
February 15, 2019

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.

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Published In

BMC Med

DOI

EISSN

1741-7015

Publication Date

February 15, 2019

Volume

17

Issue

1

Start / End Page

13

Location

England

Related Subject Headings

  • Social Stigma
  • Male
  • Humans
  • General & Internal Medicine
  • Female
  • 42 Health sciences
  • 32 Biomedical and clinical sciences
  • 11 Medical and Health Sciences
 

Citation

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van Brakel, W. H., Cataldo, J., Grover, S., Kohrt, B. A., Nyblade, L., Stockton, M., … Yang, L. H. (2019). Out of the silos: identifying cross-cutting features of health-related stigma to advance measurement and intervention. BMC Med, 17(1), 13. https://doi.org/10.1186/s12916-018-1245-x
Brakel, Wim H. van, Janine Cataldo, Sandeep Grover, Brandon A. Kohrt, Laura Nyblade, Melissa Stockton, Edwin Wouters, and Lawrence H. Yang. “Out of the silos: identifying cross-cutting features of health-related stigma to advance measurement and intervention.BMC Med 17, no. 1 (February 15, 2019): 13. https://doi.org/10.1186/s12916-018-1245-x.
van Brakel WH, Cataldo J, Grover S, Kohrt BA, Nyblade L, Stockton M, et al. Out of the silos: identifying cross-cutting features of health-related stigma to advance measurement and intervention. BMC Med. 2019 Feb 15;17(1):13.
van Brakel, Wim H., et al. “Out of the silos: identifying cross-cutting features of health-related stigma to advance measurement and intervention.BMC Med, vol. 17, no. 1, Feb. 2019, p. 13. Pubmed, doi:10.1186/s12916-018-1245-x.
van Brakel WH, Cataldo J, Grover S, Kohrt BA, Nyblade L, Stockton M, Wouters E, Yang LH. Out of the silos: identifying cross-cutting features of health-related stigma to advance measurement and intervention. BMC Med. 2019 Feb 15;17(1):13.
Journal cover image

Published In

BMC Med

DOI

EISSN

1741-7015

Publication Date

February 15, 2019

Volume

17

Issue

1

Start / End Page

13

Location

England

Related Subject Headings

  • Social Stigma
  • Male
  • Humans
  • General & Internal Medicine
  • Female
  • 42 Health sciences
  • 32 Biomedical and clinical sciences
  • 11 Medical and Health Sciences