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Modelling disparities in health services utilisation for older Blacks
 — a quantile regression framework
Author(s)Andy Sharma
Journal titleAgeing and Society, vol 35, no 8, September 2015
PublisherCambridge University Press, September 2015
Pagespp 1657-1683
Sourcejournals.cambridge.org/aso
KeywordsBlack people ; Health services ; Usage [services] ; Quantitative studies ; United States of America.
AnnotationWith the on-going ageing of the United States population, resolving health disparities continues to be a prominent and worthwhile goal, particularly in the areas of promoting minority health and reducing racial/ethnic disparities. This analysis employs the 2004 and 2005 Household Component records from the Medical Expenditures Panel Survey (MEPS), which correspond to data files H89 and H97, to examine utilisation by race across the entire distribution function. More specifically, the analysis applies the behavioural model of health services utilisation, and employs a Quantile Regression (QR) framework. This is a noteworthy contribution, because the conditional mean may not be the best approximation for a skewed-location distribution. In contrast, QR is robust to outliers and scale effects, since the estimation minimises least absolute deviation. The sample consists of 2,525 older adults at least 65 years of age, with 303 corresponding to Black and 2,222 corresponding to White. Results suggest older Blacks continue to utilise health services (i.e. office or clinic visits with a physician or medical provider) at lower levels, and this is more pronounced at and below the median quantile (i.e. below the 50th cut-off). Usual source of care (USC) continues to play an important role. Beliefs surrounding the need for insurance and medical intervention are also significant and explain some of the racial disparities. Although utilisation disparities persist for older Blacks, collaborative and flexible models of care can reach this group. (RH).
Accession NumberCPA-150814207 A
ClassmarkTKE: L: QLD: 3DQ: 7T

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