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Published on: September 30, 2020
Identifying risk of readmission in hospitalized elderly adults through inpatient medication exposure
Juliessa M Pavon1, Yanfang Zhao, Eleanor McConnell
1Division of Geriatrics, Duke University Medical Center, Durham, North Carolina; Geriatric Research, Education and Clinical Center, Durham Veterans Affairs Medical Center, Durham, North Carolina.
Objective:
To use electronic health record (EHR) data to examine the association between inpatient medication exposure and risk of hospital readmission.
Design:
Retrospective, observational study.
Setting:
Tertiary and quaternary care academic health system in Durham, North Carolina.
Participants:
All individuals aged 60 and older who were residents of Durham County, North Carolina and were hospitalized and discharged alive from Duke University Hospital between 2007 and 2009 (N = 4,627).
Measurements:
Independent variables were inpatient exposure to individual medication classes. Primary outcome was readmission to a Duke Health System hospital within 30 days.
Results:
Readmission rate was 21% (n = 955). In adjusted models, exposure to anticonvulsants (odds ratio OR 1.26, 95% confidence interval (CI) = 1.08-1.48), benzodiazepines (OR = 1.23, 95% CI = 1.04-1.44), corticosteroids (OR = 1.26, 95% CI = 1.07-1.50), and opioids (OR = 1.25, 95% CI = 1.06-1.47) was associated with greater likelihood of readmission. Exposure to antidepressants (OR = 1.85, 95% CI = 1.16-2.96) and opioids on the cardiology service (OR = 1.76, 95% CI = 1.01-3.07) and exposure to opioids on the medicine service (OR = 1.94, 95% CI = 1.17-3.22) were associated with greater odds of readmission than for individuals on the surgery service.
Conclusion:
Exposure of hospitalized elderly adults to certain medication classes was associated with greater likelihood of readmission. Incorporating medication data from EHRs may improve the performance of hospital readmission prediction models.
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