Do Report Cards Predict Future Quality? The Case of Skilled Nursing Facilities

Working Paper: NBER ID: w25940

Authors: Portia Y. Cornell; David C. Grabowski; Edward C. Norton; Momotazur Rahman

Abstract: Report cards on provider performance are intended to improve consumer decision-making and address information gaps in the market for quality. However, inadequate risk adjustment of report-card measures often biases comparisons across providers. We test whether going to a skilled nursing facility (SNF) with a higher star rating affects outcomes for a patient. We exploit variation over time in the distance from a patient’s residential ZIP code to SNFs with different ratings to estimate the causal effect of admission to a higher-rated SNF on health care outcomes, including mortality. We found that patients who go to higher-rated SNFs experience lower mortality, fewer days in the nursing home, and fewer hospital readmissions.

Keywords: skilled nursing facilities; report cards; healthcare quality; Medicare; outcomes

JEL Codes: I11; I18


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
Higher star ratings (C52)Mortality rates within 30 days (I12)
Higher star ratings (C52)Mortality rates within 180 days (I12)
Higher star ratings (C52)Hospital readmissions within 30 days (I11)
Higher star ratings (C52)Hospital readmissions within 180 days (I11)
Higher star ratings (C52)Probability of becoming a long-stay resident (more than 100 days) (C41)

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