Comparison of Methods to Define High Use of Inpatient Services Using Population‐Based Data

Journal of Hospital Medicine - Tập 12 Số 8 - Trang 596-602 - 2017
James Wick1, Brenda R. Hemmelgarn2,1, Braden Manns2,1, Marcello Tonelli1, Hude Quan2, Richard Lewanczuk3,4, Paul E. Ronksley2
1Department of Medicine, Cumming School of Medicine, University of Calgary, Alberta, Canada
2Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Alberta, Canada
3Alberta Health Services, Edmonton, Alberta, Canada
4Department of Medicine, University of Alberta, Edmonton, Alberta, Canada

Tóm tắt

BACKGROUND

A variety of methods have been proposed to define “high users” of inpatient services, which may have implications for targeting subgroups for intervention.

OBJECTIVE

To compare 3 common definitions of high in‐patient service use and their influence on patient capture, outcomes, and inpatient burden.

DESIGN, SETTING, AND PATIENTS

Cross‐sectional population‐level study of 219,106 adults in Alberta, Canada, with ≥1 hospitalization from April 1, 2012, to March 31, 2013.

MEASUREMENTS

We defined “high use” based on the upper 5th percentile of the population by 3 definitions: (1) number of inpatient episodes (≥3 hospitalizations/year), (2) cumulative length of stay (≥56 days in hospital/year), and (3) cumulative cost based on hospitalization resource intensity weights (≥ $63,597 Canadian dollars/year). Clinical characteristics, health outcomes, and overall health burden were compared across definitions and stratified by age.

RESULTS

Of that population, 10.3% of individuals were common to all definitions. High users based on number of inpatient episodes were more likely to be admitted for acute conditions, with most high users based on length of stay admitted for mental health‐related conditions, while those based on costs were more likely to have hospitalizations resulting in death (9.3%). High‐episode individuals accounted for 16.6% of all inpatient episodes, high‐length of stay individuals for 46.4% of all hospital days, and high‐cost individuals for 38.9% of total cost.

CONCLUSIONS

Three definitions of high users of inpatient services captured significantly different groups of patients. This has implications for targeting subgroups for intervention and highlights important considerations for selecting the most suitable definition for a given objective.

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