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Patients’ readiness for discharge: Predictors and effects on unplanned readmissions, emergency department visits and death
Author(s) -
Kaya Sıdıka,
Sain Guven Gulay,
Aydan Seda,
Kar Ahmet,
Teleş Mesut,
Yıldız Ahmet,
Koca Gülsüm Ş.,
Kartal Nazan,
Korku Cahit,
Ürek Duygu,
Demir İpek Bilgin,
Toka Onur
Publication year - 2018
Publication title -
journal of nursing management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.925
H-Index - 76
eISSN - 1365-2834
pISSN - 0966-0429
DOI - 10.1111/jonm.12605
Subject(s) - medicine , logistic regression , emergency department , marital status , univariate analysis , emergency medicine , hospital discharge , prospective cohort study , multivariate analysis , nursing , population , environmental health
Aim To determine the variables that affect patients’ perceptions about their readiness for discharge and to elucidate the effects of these perceptions on patient outcomes such as unplanned readmission to the hospital, emergency department visits and death within 30 days after discharge. Background In recent years, it has become even more important to assess patients’ readiness for discharge as patients tend to be discharged more quickly. Methods For the determination of patients’ self‐assessment, the Readiness for Hospital Discharge Scale/Short Form was utilized. This 1‐year prospective cohort study included 1,601 patients. Data were analysed using a chi‐square test, Mann–Whitney U test, univariate logistic regression analysis and multiple logistic regression analysis. Results The results of multiple logistic regression analysis revealed that age, sex, marital status, educational status, presence of someone to help at home after discharge and length of stay were predictors of patients’ readiness for hospital discharge. Furthermore, being unready for discharge increased the risk of 30 day unplanned readmission and 30 day death. Conclusions Considering these predictors, patients’ perceptions of readiness for discharge must be assessed before deciding to discharge them. Implications for Nursing Management Nurse managers can consider the predictors of patients’ readiness for discharge, thus the risk of unplanned readmission and death may be reduced.