Medical College of Wisconsin
CTSIResearch InformaticsREDCap

Validation of the Registered Nurse Assessment of Readiness for Hospital Discharge Scale. Nurs Res 2018;67(4):305-313

Date

06/08/2018

Pubmed ID

29877987

DOI

10.1097/NNR.0000000000000293

Scopus ID

2-s2.0-85049864052 (requires institutional sign-in at Scopus site)   18 Citations

Abstract

BACKGROUND: Statistical models for predicting readmissions have been published for high-risk patient populations but typically focus on patient characteristics; nurse judgment is rarely considered in a formalized way to supplement prediction models.

OBJECTIVES: The purpose of this study was to determine psychometric properties of long and short forms of the Registered Nurse Readiness for Hospital Discharge Scale (RN-RHDS), including reliability, factor structure, and predictive validity.

METHODS: Data were aggregated from two studies conducted at four hospitals in the Midwestern United States. The RN-RHDS was completed within 4 hours before hospital discharge by the discharging nurse. Data on readmissions and emergency department visits within 30 days were extracted from electronic medical records.

RESULTS: The RN-RHDS, both long and short forms, demonstrate acceptable reliability (Cronbach's alphas of .90 and .73, respectively). Confirmatory factor analysis demonstrated less than adequate fit with the same four-factor structure observed in the patient version. Exploratory factor analysis identified three factors, explaining 60.2% of the variance. When nurses rate patients as less ready to go home (<7 out of 10), patients are 6.4-9.3 times more likely to return to the hospital within 30 days, in adjusted models.

DISCUSSION: The RN-RHDS, long and short forms, can be used to identify medical-surgical patients at risk for potential unplanned return to hospital within 30 days, allowing nurses to use their clinical judgment to implement interventions prior to discharge. Use of the RN-RHDS could enhance current readmission risk prediction models.

Author List

Bobay KL, Weiss ME, Oswald D, Yakusheva O

Author

Marianne Weiss DNSc Associate Professor in the College of Nursing department at Marquette University




MESH terms used to index this publication - Major topics in bold

Adult
Aged
Factor Analysis, Statistical
Female
Humans
Male
Middle Aged
Midwestern United States
Nursing Assessment
Patient Discharge
Patient Readmission
Psychometrics
Reproducibility of Results
Surveys and Questionnaires