Classifying emergency 30-day readmissions in England using routine hospital data 2004-2010: what is the scope for reduction?

Abstract

Background: Many health systems across the globe have introduced arrangements to deny payment for patients readmitted to hospital as an emergency. The purpose of this study was to develop an exploratory categorisation based on likely causes of readmission, and then to assess the prevalence of these different types.

Methods: Retrospective analysis of 82 million routinely collected National Health Service hospital records in England (2004-2010) was undertaken using anonymised linkage of records at person-level. Numbers of 30-day readmissions were calculated. Exploratory categorisation of readmissions was applied using simple rules relating to International Classification of Diseases (ICD) diagnostic codes for both admission and readmission.

Results: There were 5 804 472 emergency 30-day readmissions over a 6-year period, equivalent to 7.0% of hospital discharges. Readmissions were grouped into hierarchically exclusive categories: potentially preventable readmission (1 739 519 (30.0% of readmissions)); anticipated but unpredictable readmission (patients with chronic disease or likely to need long-term care; 1 141 987 (19.7%)); preference-related readmission (53 718 (0.9%)); artefact of data collection (16 062 (0.3%)); readmission as a result of accident, coincidence or related to a different body system (1 101 818 (19.0%)); broadly related readmission (readmission related to the same body system (1 751 368 (30.2%)).

Conclusions: In this exploratory categorisation, a large minority of emergency readmissions (eg, those that are potentially preventable or due to data artefacts) fell into groups potentially amenable to immediate reduction. For other categories, a hospital's ability to reduce emergency readmission is less clear. Reduction strategies and payment incentives must be carefully tailored to achieve stated aims.

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Figures

Figure 1

Monthly emergency readmission rates for England 2004/05 to 2009/10. (The dip in readmission rates in the last month of the study period (March 2010) is likely to be an artefact due to an end of year increase in discharges.)

Figure 2

Proportion of emergency readmissions within 30 days as a function of number days between discharge and readmission.

Figure 3

Process of assigning readmissions by descending category (columns) and the final proportions (pie chart), using the average annual number of readmissions.