Reporting Heterogeneity and Health Disparities Across Gender and Education Levels: Evidence From Four Countries

Molina, Teresa

doi:10.1007/s13524-016-0456-z

Cited by 29 publications

(15 citation statements)

References 30 publications

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“…Similar conclusions have been drawn by other studies examining DIF in general and domain-specific self-assessments of health (e.g. Grol-Prokopczyk et al, 2011;Molina, 2016).…”

Section: Discussionsupporting

confidence: 89%

“…Provided that two key identifying assumptions hold, namely response consistency (RC) and vignette equivalence (VE), these ratings can reveal what the response categories truly mean for respondents, and can therefore be used to identify and adjust for DIF. The approach has been used in a number of applications including political efficacy (King et al, 2004), job,income,life, and health satisfaction (Angelini, Cavapozzi, Corazzini, & Paccagnella, 2014;Bertoni, 2015;Crane, Rissel, Greaves, & Gebel, 2016;Kapteyn, Smith, & Van Soest, 2013;Kristensen & Johansson, 2008) and general and specific dimensions of health Dowd & Todd, 2011;Grol-Prokopczyk et al, 2011;Hirve et al, 2013;Molina, 2016;Peracchi & Rossetti, 2012).…”

mentioning

confidence: 99%

“…and country of birth, all of which have been shown to affect DIF in various health dimensions (e.g Grol-Prokopczyk et al, 2011;Molina, 2016)…”

mentioning

confidence: 99%

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Differential item functioning in quality of life measurement: An analysis using anchoring vignettes

Knott

Lorgelly

Black

et al. 2017

Social Science & Medicine

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Systematic differences in the ways that people use and interpret response categories (differential item functioning, DIF) can introduce bias when using self-assessments to compare health or quality of life across heterogeneous groups. This paper reports on an exploratory analysis involving the use of anchoring vignettes to identify DIF in a commonly used measure for assessing health-related quality of life - namely the EQ-5D. Using data from a bespoke (i.e. custom) survey that recruited a representative sample of 4300 respondents from the general Australian population in 2014 and 2015, we find that the assumptions of response consistency (RC) and vignette equivalence (VE) hold in a sub-sample of respondents aged 55-65 years (n = 914), which demonstrates that vignettes can appropriately identify DIF in EQ-5D reporting for this age group. We find that the EQ-5D is indeed subject to DIF, and that failure to account for DIF can lead to conclusions that are misleading when using the instrument to compare health or quality of life across heterogeneous groups. We also provide several important insights in terms of the identifying assumptions of RC and VE. We conclude that the implications of DIF could be of considerable importance, not only for outcomes research, but for funding decisions in healthcare more broadly given the strong reliance on patient-reported outcome measures in economic evaluations for health technology assessment.

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“…Similar conclusions have been drawn by other studies examining DIF in general and domain-specific self-assessments of health (e.g. Grol-Prokopczyk et al, 2011;Molina, 2016).…”

Section: Discussionsupporting

confidence: 89%

mentioning

confidence: 99%

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Differential item functioning in quality of life measurement: An analysis using anchoring vignettes

Knott

Lorgelly

Black

et al. 2017

Social Science & Medicine

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“…Studies have shown that for lower-educated persons, this measure is less predictive of mortality (Dowd and Zajacova 2007 ), and its association with physical health problems as assessed by biomarkers is weaker than for higher-educated persons (Dowd and Zajacova 2010 ). These findings suggest that education differences in physical health may not be adequately captured by a measure of self-rated health (Dowd and Zajacova 2010 ; d’Uva et al 2008 ; Molina 2016 ).…”

Section: Introductionmentioning

confidence: 99%

Health Measurement and Health Inequality Over the Life Course: A Comparison of Self-rated Health, SF-12, and Grip Strength

Leopold

2019

Demography

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The cumulative (dis)advantage hypothesis predicts education differences in health to increase with age. All previous tests of this hypothesis were based on self-reported health measures. Recent research has suggested that self-reported health measures may not adequately capture differences in key analytical constructs, including education, age, cohort, and gender. In this study, I tested the cumulative (dis)advantage hypothesis using a self-reported subjective measure (self-rated health), a self-reported semi-objective measure (PCS based on SF-12), and an objective measure (grip strength) of general physical health. Hierarchical linear models applied to five waves of panel data (SOEP, 2006–2014, N = 3,635 individuals aged 25 to 83, comprising N = 9,869 person-years) showed large differences between health measures. Among men, education differences in both self-reported measures of health widened substantially with age, consistent with the cumulative (dis)advantage hypothesis. For grip strength, education differences were small and changed little with age, inconsistent with the hypothesis. Among women, education differences in both self-reported measures of health remained stable over the life course, but they widened substantially when measured by grip strength. I conclude that evidence on the cumulative (dis)advantage hypothesis is sensitive to the choice of a health measure. Electronic supplementary material The online version of this article (10.1007/s13524-019-00761-x) contains supplementary material, which is available to authorized users.

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“…A diverse geographic distribution of participants presents another difficulty in accurately measuring cost of treatments that could be nominated in different currencies, with different pricing policies, etc., as noted by Baird (2016). In general, self-reported health outcomes are subjective and directly contingent on social experience, and Molina (2016) raises some measurement problems related to "reporting heterogeneity." Nevertheless, self-reported health indicators are a valuable tool that has often been used in empirical analyses, highlighted by Ploubidis and Grundy (2011).…”

Section: Limitationsmentioning

confidence: 99%

Patient-reported outcomes: A 5-year long study reveals previously unreported therapeutic, demographic, socio-economic, and other correlations in vitiligo

Valle

Коробко

Sigova

et al. 2018

Dermatologic Therapy

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Vitiligo is a non‐lethal, non‐communicable, immune‐mediated, and generally progressive skin disease, with poorly understood etiopathogenesis and weak evidence base. The aim of the study is to contribute to the scant research on the patient‐reported outcomes in vitiligo, and to examine the presence of associations between various inputs for possible use in clinical practice. The study was designed as a web‐based questionnaire with 40 inputs across seven dimensions. The questions include demographics, skin type, eye and natural hair color, age of respondent and age of onset, possible triggers, disease extent, localization, progression and activity, the efficacy of most common treatment modalities, medication side‐effects, heredity and diseases among parents, and out‐of‐pocket expenses for treatments to date. The analysis presented with this work contributes to the discussion about the relation between therapies, socio‐economic factors, and treatment outcomes in vitiligo. All physicians should adequately manage patient expectations in terms of overall treatment duration and expected out‐of‐pocket expenses, and actively evaluate patients at shorter intervals. A more aggressive therapeutic approach using telehealth devices should be considered to supplement therapy, monitor treatment progress, and protocol compliance.

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Reporting Heterogeneity and Health Disparities Across Gender and Education Levels: Evidence From Four Countries

Cited by 29 publications

References 30 publications

Differential item functioning in quality of life measurement: An analysis using anchoring vignettes

Differential item functioning in quality of life measurement: An analysis using anchoring vignettes

Health Measurement and Health Inequality Over the Life Course: A Comparison of Self-rated Health, SF-12, and Grip Strength

Patient-reported outcomes: A 5-year long study reveals previously unreported therapeutic, demographic, socio-economic, and other correlations in vitiligo

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