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Informing the Design and Evaluation of Superuser Care Management Initiatives

Accounting for Regression-to-the-Mean

Bibliographic Data

ID9103910
AuthorsSujoy Chakravarty (0000-0002-1321-4222, Rutgers, the State University of New Jersey), Joel C Cantor (0000-0003-0786-3258, Rutgers, the State University of New Jersey)
Year2016
Volume54
Issue9
Pages860-867
Publication date2016-09-01
Open AccessYes
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000000568
PMID27219632
OpenAlexW2405084386
LanguageEN
Citations received1
References cited11

BACKGROUND: Health care spending is concentrated among a small number of high-cost patients, and the popularity of initiatives to improve care and reduce cost among such "superusers" (SUs) is growing. However, SU costs decline naturally over time, even without intervention, a statistical phenomenon known as regression-to-the-mean (RTM). OBJECTIVES: We assess the magnitude of RTM in hospital costs for cohorts of hospital SUs identified on the basis of high inpatient (IP) or emergency department (ED) utilization. We further examine how cost and RTM are associated with patient characteristics including behavioral health (BH) problems, multiple chronic conditions, and indicators of vulnerability. STUDY DESIGN: Using longitudinally linked all-payer hospital billing data, we selected patient cohorts with ≥2 IP stays (IP SUs) or ≥6 ED visits (ED SUs) during a 6-month baseline period, and additional subgroups defined by combinations of IP and ED superuse. POPULATION STUDIED: A total of 289,060 NJ hospital IP and treat-and-release ED patients over 2009-2011. RESULTS: Hospital costs among IP and ED SUs declined 70% and 38%, respectively, over 8 quarters following the baseline period. The decrease occurs more quickly for IP SUs compared with ED SUs. Presence of BH problems was positively associated with costs among patients overall, but the relationship varied by SU cohort. CONCLUSIONS: Understanding patterns of RTM among SU populations is important for designing intervention strategies, as there is greater potential for savings among patients with more persistent costs (less RTM). Further, as many SU initiatives lack resources for rigorous evaluation, quantifying the extent of RTM is vital for interpreting program outcomes

Baseline (sea) · Cohort · Emergency department · Health care · Intervention (counseling) · Medical emergency · Popularity · Emergency and Acute Care Studies · Emergency Medicine · Geriatric Care and Nursing Homes · Heart Failure Treatment and Management · Internal Medicine · Medicine · Nursing · Psychology

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Citations per year0.11
Citation span2017 - 2017 (1)
Highly citedNo

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