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Prospective payment systems and discretionary coding - Evidence from English mental health providers

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JournalHealth Economics
DateAccepted/In press - 19 Nov 2018
DateE-pub ahead of print - 27 Dec 2018
DatePublished (current) - 15 Feb 2019
Volume28
Number of pages16
Pages (from-to)387-402
Early online date27/12/18
Original languageEnglish

Abstract

Reimbursement of English mental health hospitals is moving away from block contracts and towards activity and outcome-based payments. Under the new model, patients are categorised into 20 groups with similar levels of need, called clusters, to which prices may be assigned prospectively. Clinicians, who make clustering decisions, have substantial discretion and can, in principle, directly influence the level of reimbursement the hospital receives. This may create
incentives for up-coding. Clinicians are supported in their allocation decision by a clinical clustering algorithm, the Mental Health Clustering Tool (MHCT), which provides an external reference against which clustering behaviour can be benchmarked. The aims of this study are to investigate the degree of mismatch between predicted and actual clustering and to test whether there are systematic differences amongst providers in their clustering behaviour. We use administrative data for all mental health patients in England who were clustered for the first time during the financial year 2014/15 and estimate multinomial multilevel models of over-, under- or matching clustering. Results suggest that hospitals vary systematically in their probability of mismatch but this variation is not consistently associated with observed hospital characteristics.

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© 2018 The Authors

    Research areas

  • Mental health, hospitals, episodic payment, classification, discretionary behaviour, mixed-effects models

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