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• W2582411906 abstract "How can public healthcare administrators predict tertiary healthcare utilization when hospitals face highly variable patient flows but large and infungible costs of specialty treatment? Using administrative claims data from a public health insurance program in India shows that utilization by social connections is associated with 26% increase in first-time utilization. The social connections model decreases root mean squared error by 11.25% compared to a baseline model. Social connections predict treatment in private rather than public facilities, but not in specialty use. The enhanced model predicts higher levels of optimum healthcare provision when the costs of undertreatment are severe." @default.
• W2582411906 created "2017-02-03" @default.
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• W2582411906 date "2017-01-01" @default.
• W2582411906 modified "2023-09-27" @default.
• W2582411906 title "Social Connections and Public Healthcare Utilization" @default.
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• W2582411906 doi "https://doi.org/10.2139/ssrn.2899976" @default.
• W2582411906 hasPublicationYear "2017" @default.
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