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Predictors for patients understanding reason for hospitalization

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NIAID Data Ecosystem2026-03-10 收录
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https://figshare.com/articles/dataset/Predictors_for_patients_understanding_reason_for_hospitalization/6195635
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Objective To examine predictors for understanding reason for hospitalization. Methods This was a retrospective analysis of a prospective, observational cohort study of patients 65 years or older admitted for acute coronary syndrome, heart failure, or pneumonia and discharged home. Primary outcome was complete understanding of diagnosis, based on post-discharge patient interview. Predictors assessed were the following: jargon on discharge instructions, type of medical team, whether outpatient provider knew if the patient was admitted, and whether the patient reported more than one day notice before discharge. Results Among 377 patients, 59.8% of patients completely understood their diagnosis. Bivariate analyses demonstrated that outpatient provider being aware of admission and having more than a day notice prior to discharge were not associated with patient understanding diagnosis. Presence of jargon was not associated with increased likelihood of understanding in a multivariable analysis. Patients on housestaff and cardiology teams were more likely to understand diagnosis compared to non-teaching teams (OR 2.45, 95% CI 1.30–4.61, p<0.01 and OR 3.83, 95% CI 1.92–7.63, p<0.01, respectively). Conclusions Non-teaching team patients were less likely to understand their diagnosis. Further investigation of how provider-patient interaction differs among teams may aid in development of tools to improve hospital to community transitions.
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2018-04-28
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