HYBRID EVENT: You can participate in person at Orlando, USA or Virtually from your home or work.

6th Edition of Nursing World Conference

October 27-29, 2022 | Orlando, USA

October 27 -29, 2022 | Orlando, Florida, USA
NWC 2022

Supattra Changsuphan

Speaker at  Nursing World Conference 2022 - Supattra Changsuphan
Thammasat University, Thailand
Title : Patient’s readiness for hospital discharge scale with hip arthroplasty: Development and Psychometric Evaluation


Background: Readiness for hospital discharge indicates successful health and illness transition. Assessing readiness for hospital discharge and transition to home in patients after hip arthroplasty has become increasingly important to patient safety and outcomes. Nurses play an essential role in assessing readiness for the hospital discharge needs of patients. There are no specific instruments to assess the readiness for hospital discharge of patients with hip arthroplasty. Readiness for hospital discharge requires a valid, accurate, and reliable scale and is easy to use. The purpose of this study was to develop and validate the psychometric properties of a new Patient’s readiness for hospital discharge scale for hip arthroplasty (RHD-HA).
Methods: First, items were generated based on the literature review and with help from orthopedic surgeons, orthopedic nurse practitioners, and experts in questionnaire design. Then, content validity was carried out. Accordingly, a cross-sectional study was conducted, which was carried out in 4-tertiary governmental hospitals. The data were collected from June 2020 to February 2021. Two hundred patients completed a questionnaire. Content validity and Intraclass Correlation Coefficient (ICC) were carried out. The exploratory and confirmatory factor analysis used to identify the construct. The psychometric properties evaluation comprised, internal consistency reliability, concurrent validity, and predictive validity. The cutpoint for RHD-HA was identified using the receiver operating characteristic (ROC). 
Results: Based on exploratory factor analysis and confirmatory factor analysis, two factors were identified. The factors could explain 62% of the total variance observed. The model had an acceptable fit: (CFA; X2=0.056, df =24, (p=<0.001), CLI=0.974, TLI=0.967, SRMR=0.044, and RMSEA of 0.116). The scale had acceptable internal consistency, Cronbach’s alpha coefficient (0.87), inter-rater reliability (0.96), content validity (0.97), and concurrent validity (0.70). The ROC analysis represented the cutpoint at 0.9 (score=10), AUC=0.893, Sensitivity=90.7%, and Specificity=70.1%.
Conclusions: The RHD-HA 9-item established favorable psychometric evaluations. The new instrument describes a specific measure in older people who underwent hip arthroplasty, which recognizes and defines the interventions for improving readiness for hospital discharge after hip arthroplasty.
Acknowledgments: The authors sincerely thank the participant in this study and also wish to thank my advisor for encouraging all processes.


Supattra Changsuphan is a Ph.D. candidate at the Faculty of Nursing, Thammasat University, Thailand. She graduated with her BSN from Mahidol University in 2000 and an MSN in Nursing Administration from Chulalongkorn University in 2004. She has worked at the School of Nursing, Sukhothai Thammathirat Open University (STOU). Her research interested in elderly care, orthopedic nursing in the older adult, instrument development, and distance learning. She also volunteered for older people in the elderly schools and community.