Promoting Health Equity through De-Implementation Research
Author(s) -
Christian D. Helfrich,
Christine W. Hartmann,
Toral J. Parikh,
David H. Au
Publication year - 2019
Publication title -
ethnicity and disease
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.767
H-Index - 67
eISSN - 1945-0826
pISSN - 1049-510X
DOI - 10.18865/ed.29.s1.93
Subject(s) - disadvantaged , equity (law) , health equity , socioeconomic status , health care , ethnic group , medicine , psychology , business , gerontology , family medicine , political science , nursing , environmental health , public health , population , law
Ensuring equitable access to quality health care historically has focused on gaps in care, where patients fail to receive the high-value care that will benefit them, something termed underuse. But providing high-quality health care sometimes requires reducing low-value care that delivers no benefit or where known harms outweigh expected benefits. These situations represent health care overuse. The process involved in reducing low-value care is known as de-implementation. In this article, we argue that de-implementation is critical for advancing equity for several reasons. First, medical overuse is associated with patient race, ethnicity, and socioeconomic status. In some cases, the result is even double jeopardy, where racial and ethnic minorities are at higher risk of both overuse and underuse. In these cases, more traditional efforts focused exclusively on underuse ignore half of the problem. Second, overuse of preventive care and screening is often greater for more socioeconomically advantaged patients. Within insured populations, this means more socioeconomically disadvantaged patients subsidize overuse. Finally, racial and ethnic minorities may have different experiences of overuse than Whites in the United States. This may make efforts to de-implement overuse particularly fraught. We therefore provide several actions for closing current research gaps, including: adding subgroup analyses in studies of medical overuse; specifying and measuring potential mechanisms related to equity (eg, double jeopardy vs thermostat models of overuse); and testing de-implementation strategies that may mitigate bias.
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