Literature DB >> 32856876

Predicting Inpatient Length of Stay in Iranian Hospital: Conceptualization and Validation.

Omid Khosravizadeh1, Soudabeh Vatankhah2, Mina Jahanpour3, Negar Yousefzadeh4, Saeed Shahsavari5,6, Saeed Yari7.   

Abstract

OBJECTIVE: The length of stay is an important indicator of hospital performance and efficiency. Regarding the importance of the length of stay, this study aimed to design a structural model of the inpatients' length of stay in the educational and therapeutic health care facilities of Iran in order to identify the influencing dimensions.
METHODS: The present study was an analytical and applied study. The face validity of the data gathering tool was investigated by the expert judgment and the construct validity was examined by using the exploratory factor analysis. In order to verify the reliability of the tool, the internal consistency was also trialed by using the Cronbach's alpha. For ranking the influencing dimensions and factors and also in order to examine the causal relationships between the variables in a coherent manner and presenting the final model, the structural equation modeling technique was used in AMOS software at a significant level of 0.05.
RESULTS: The mentioned structural model consists of 4 dimensions and 29 factors influencing the length of stay of hospitalized patients. The independent variables are based on priority and importance as follows: patients' conditions, the underlying factors, the clinical staff performance, and hospitals' service delivery, which were examined by second-order factor analysis in order to study the relationship between them and the inpatients' length of stay.
CONCLUSION: Considering the importance of each one of the proposed dimensions from the point of view of service providers in some therapeutic centers of the country by paying attention to the role of each one of them in preventing prolonged hospitalization can be essential in the effectiveness of the treatment and cost reduction.<br />.

Entities:  

Keywords:  Hospital; Inpatient length of stay; Iran; Predicting

Mesh:

Year:  2020        PMID: 32856876      PMCID: PMC7771917          DOI: 10.31557/APJCP.2020.21.8.2439

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


  23 in total

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10.  Factors affecting length of stay in teaching hospitals of a middle-income country.

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