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. 2014 Apr;62(4):711-5.
doi: 10.1111/jgs.12746. Epub 2014 Mar 17.

Using the past to predict the future: latent class analysis of patterns of health service use of older adults in the emergency department

S Nicole Hastings  1 , Heather E Whitson, Richard Sloane, Lawrence R Landerman, Carolyn Horney, Kimberly S Johnson
Affiliations

Using the past to predict the future: latent class analysis of patterns of health service use of older adults in the emergency department

S Nicole Hastings et al. J Am Geriatr Soc. 2014 Apr.

Abstract

Objectives: To classify older adults in the emergency department (ED) according to healthcare use and to examine associations between group membership and future ED visits and hospital admissions.

Design: Secondary analysis.

Setting: Medicare Current Beneficiary Survey.

Participants: Adults aged 65 and older with at least one treat-and-release ED visit between January 1, 2000, and September 30, 2007 (N = 4,964).

Measurements: Measures of health service use included primary care visits, treat-and-release ED visits, and hospital days in the 12 months preceding the index ED visit.

Results: Five groups of individuals in the ED with distinct patterns of health service use were identified. "Primary Carederly" (39%) had low rates of ED and hospital use and a high mean number of primary care visits. "Wellderly" (34%) had fewer visits of all types than other groups. "Chronically Illderly" (14%) had the highest mean number of primary care visits and hospital days. "Acute Carederly" (9.8%) had lowest mean number of primary care visits but higher ED visits and hospital days than all other groups except the "Sickest Elderly." Sickest Elderly (3.2%) had the highest number of ED visits; mean number of hospital days was more than four times that of any other group. Primary Carederly and Wellderly had a lower risk of hospital admission within 30 days of the index ED visit than the other groups.

Conclusion: In older adults released from an ED, group membership was associated with future health services use. Classification of individuals using readily available previous visit data may improve targeting of interventions to improve outcomes.

Keywords: emergency department; latent class analysis; older adults.

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Conflict of interest statement

Conflict of Interest: The editor in chief has reviewed the conflict of interest checklist provided by the authors and has determined that the authors have no financial or any other kind of personal conflicts with this paper.

Figures

Figure 1
Figure 1
Event-free survival probability according to group for 1A) repeat treat and release Emergency Department (ED) visits; and 1B) hospitalizations within 30 days.
Figure 1
Figure 1
Event-free survival probability according to group for 1A) repeat treat and release Emergency Department (ED) visits; and 1B) hospitalizations within 30 days.
See this image and copyright information in PMC

References

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