Faculty Collaboration Database

Parent Readiness for Hospital Discharge Scale: Psychometrics and Association With Postdischarge Outcomes. J Pediatr Health Care 2020;34(1):30-37

Date

10/03/2019

Pubmed ID

31575440

DOI

10.1016/j.pedhc.2019.06.011

Scopus ID

2-s2.0-85072712261 (requires institutional sign-in at Scopus site)   28 Citations

Abstract

INTRODUCTION: The purpose of this study is to validate the Readiness for Hospital Discharge Scale (RHDS) for use with parents of hospitalized children. PedRHDS is a structured tool for a discharge readiness assessment before pediatric discharge.

METHODS: Using combined data from four studies with 417 parents, psychometric testing and item reduction proceeded with principal component analysis for factor structure delineation, Cronbach's alpha for reliability estimation, and regression analysis for predictive validity.

RESULTS: A 23-item PedRHDS retained the a priori factor structure. Reliability ranged from 0.73 to 0.85 for the 23-item and 10- and 8-item short scales. PedRHDS (all forms) was associated with postdischarge coping difficulty (explaining 12%-16% of variance) and readmission (odds ratio = 0.71-0.80).

DISCUSSION: The PedRHDS and both short forms (PedRHDS-SF10 and PedRHDS-SF8) are reliable and valid measures of parental discharge readiness that can be used as outcome metrics of hospital care and risk indicators for postdischarge coping difficulty and readmission.

Author List

Weiss ME, Lerret SM, Sawin KJ, Schiffman RF

Authors

Stacee Lerret PhD Professor Hybrid in the Pediatrics department at Medical College of Wisconsin
Rachel Schiffman BS,MS,PhD Associate Dean for Research in the College of Nursing department at University of Wisconsin - Milwaukee
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

Adaptation, Psychological
Adult
Child
Child, Hospitalized
Factor Analysis, Statistical
Female
Humans
Male
Parents
Patient Discharge
Predictive Value of Tests
Principal Component Analysis
Psychometrics
Reproducibility of Results