Research / Research Highlights

Research Highlights

Research Highlights /

Research Highlights

Prof. Kyungmi Woo

Contributing factors to the length of stay and discharge destination of home health care patients: 10-year electronic health record analysis using the Donabedian model

Aim
To identify the factors affecting the length of stay (LOS) and discharge destination (DD) of home health care (HHC) patients in South Korea.

Methods
A retrospective cross-sectional study was conducted using the electronic health records of 1769 patients from a hospital in South Korea. Data were collected from January 2013 to December 2022. We categorized the independent variables into patient context, structure, and process factors following a modification of Donabedian's model. Hierarchical and multinomial logistic regression analyses were used.

Results
The mean length of stay was 26.41 days. Patients were discharged to the following locations: 35.0% continued HHC, 21.0% died, 19% were discharged to their homes, 17.0% were admitted, and 8.0% were sent to other locations. Patients' sex, type of insurance coverage, and primary caregiver as well as the number of nurse visits, HHC admission route, and type of nursing service were predictors of their LOS. Operation history, a high Charlson comorbidity index, the type of insurance coverage, HHC admission route, and certain nursing care services were associated with admission and death as the DD.

Conclusions
Process variables (e.g., number of nurse visits, HHC admission route, type of nursing services) have a considerable influence on determining the LOS and DD of HHC patients. This result provides new insights into the use of HHC services and care transitions out of the hospital for patients living in their home, offering evidence to reduce unnecessary readmissions and ensure more effective and efficient HHC.

more >> https://doi.org/10.1111/jjns.12647