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Objective: To determine the consistency with which government-issued hospital quality ratings and crowdsourced ratings on social media sites identify hospital quality.Data Sources: Hospital ratings from Facebook, Google, and Yelp were linked with Hospital Compare (HC) measures.Study Design: Fixed-effects linear regression model.Principal Findings: Among crowdsourcing sites' best-ranked hospitals, 50-60% were also the best ranked on HC's overall and patient experience ratings; 20% ranked as the worst. Best-ranked hospitals had significantly better clinical quality scores than worst ranked hospitals, but were not more likely to be the highest rated in terms of HC's clinical quality measures alone.Conclusions: Crowdsourcing sites and HC provide comparable information on patient experience; scores were less consistent in terms of risk-adjusted measures of patient safety and clinical quality. [ABSTRACT FROM AUTHOR]

This paper examines how time pressure, an important constraint faced by medical care providers, affects productivity in primary care. We generate empirical predictions by incorporating time pressure into a model of physician behavior by Tai-Seale and McGuire (2012). We use data from the electronic health records of a large integrated delivery system and leverage unexpected schedule changes as variation in time pressure. We find that greater time pressure reduces the number of diagnoses recorded during a visit and increases both scheduled and unscheduled follow-up care. We also find some evidence of increased low-value care, decreased preventive care, and decreased opioid prescribing. [ABSTRACT FROM AUTHOR]