Literature DB >> 24561776

Challenges of health measurement in studies of health disparities.

Sarah A Burgard1, Patricia V Chen2.   

Abstract

Health disparities are increasingly studied in and across a growing array of societies. While novel contexts and comparisons are a promising development, this commentary highlights four challenges to finding appropriate and adequate health measures when making comparisons across groups within a society or across distinctive societies. These challenges affect the accuracy with which we characterize the degree of inequality, limiting possibilities for effectively targeting resources to improve health and reduce disparities. First, comparisons may be challenged by different distributions of disease and second, by variation in the availability and quality of vital events and census data often used to measure health. Third, the comparability of self-reported information about specific health conditions may vary across social groups or societies because of diagnosis bias or diagnosis avoidance. Fourth, self-reported overall health measures or measures of specific symptoms may not be comparable across groups if they use different reference groups or interpret questions or concepts differently. We explain specific issues that make up each type of challenge and show how they may lead to underestimates or inflation of estimated health disparities. We also discuss approaches that have been used to address them in prior research, note where further innovation is needed to solve lingering problems, and make recommendations for improving future research. Many of our examples are drawn from South Africa or the United States, societies characterized by substantial socioeconomic inequality across ethnic groups and wide disparities in many health outcomes, but the issues explored throughout apply to a wide variety of contexts and inquiries.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cross-national comparison; Diagnosis bias; Health disparities; Health measurement; Self-rated health

Mesh:

Year:  2014        PMID: 24561776      PMCID: PMC4077714          DOI: 10.1016/j.socscimed.2014.01.045

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  47 in total

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5.  Poverty and non-communicable diseases in South Africa.

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Journal:  Scand J Public Health       Date:  2009-01-22       Impact factor: 3.021

6.  Levels and differentials in childhood mortality in South Africa, 1977-1998.

Authors:  Nadine Nannan; Ian M Timaeus; Ria Laubscher; Debbie Bradshaw
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7.  Outcome and cost of a statewide diabetes screening and awareness initiative in New York.

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8.  A framework for assessing health systems from the public's perspective: the ALPS approach.

Authors:  Göran Dahlgren; Margaret Whitehead
Journal:  Int J Health Serv       Date:  2007       Impact factor: 1.663

9.  HIV testing within at-risk populations in the United States and the reasons for seeking or avoiding HIV testing.

Authors:  Scott E Kellerman; J Stan Lehman; Amy Lansky; Mark R Stevens; Frederick M Hecht; Andrew B Bindman; Pascale M Wortley
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Authors:  Helen Ayles; Albertus Schaap; Amos Nota; Charalambos Sismanidis; Ruth Tembwe; Petra De Haas; Monde Muyoyeta; Nulda Beyers
Journal:  PLoS One       Date:  2009-05-19       Impact factor: 3.240

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  28 in total

1.  Research in and Prospects for the Measurement of Health Using Self-Rated Health.

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Journal:  Health Serv Res       Date:  2018-11-14       Impact factor: 3.402

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4.  Positive Development and Changes in Self-Rated Health Among Young Sexual Minority Males: The P18 Cohort Study.

Authors:  F Kapadia; P A D'Avanzo; S H Cook; S Barton; S N Halkitis; P N Halkitis
Journal:  Behav Med       Date:  2019-01-18       Impact factor: 3.104

5.  Mind the Gap: What Factors Determine the Worse Health Status of Indigenous Women Relative to Men Living Off-Reserve in Canada?

Authors:  Min Hu; Mohammad Hajizadeh
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6.  Physical health conditions of the Amish and intervening social mechanisms: an exhaustive narrative review.

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Journal:  Ethn Health       Date:  2021-08-19       Impact factor: 2.772

Review 7.  Administrative Claims Data for Economic Analyses in Hematopoietic Cell Transplantation: Challenges and Opportunities.

Authors:  Jaime M Preussler; Lih-Wen Mau; Navneet S Majhail; Christa L Meyer; Ellen M Denzen; Kristen C Edsall; Stephanie H Farnia; Alicia Silver; Wael Saber; Linda J Burns; David J Vanness
Journal:  Biol Blood Marrow Transplant       Date:  2016-05-14       Impact factor: 5.742

8.  Sociodemographic disparities in chronic pain, based on 12-year longitudinal data.

Authors:  Hanna Grol-Prokopczyk
Journal:  Pain       Date:  2017-02       Impact factor: 7.926

Review 9.  The cultural equivalence of measurement in substance use research.

Authors:  Hector I Lopez-Vergara; Manshu Yang; Nicole H Weiss; Amy L Stamates; Nichea S Spillane; Sarah W Feldstein Ewing
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10.  Promises and Pitfalls of Anchoring Vignettes in Health Survey Research.

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