Using the Hospital Frailty Risk Score to predict length of stay across all adult ages.
<h4>Background</h4>Hospital Frailty Risk Score (HFRS) has recently been used to predict adverse health outcomes including length of stay (LOS) in hospital. LOS is an important indicator for patient quality of care, the measurement of hospital performance, efficiency and costs. Tools to p...
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Public Library of Science (PLoS)
2025-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0317234 |
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| author | Huda Kutrani Jim Briggs David Prytherch Claire Spice |
| author_facet | Huda Kutrani Jim Briggs David Prytherch Claire Spice |
| author_sort | Huda Kutrani |
| collection | DOAJ |
| description | <h4>Background</h4>Hospital Frailty Risk Score (HFRS) has recently been used to predict adverse health outcomes including length of stay (LOS) in hospital. LOS is an important indicator for patient quality of care, the measurement of hospital performance, efficiency and costs. Tools to predict LOS may enable earlier interventions in those identified at higher risk of a long stay. Previous work focused on patients over 75 years of age, but we explore the relationship between HFRS and LOS for all adults.<h4>Methods</h4>This is a retrospective cohort study using data from a large acute hospital during the period from 01/01/2010 to 30/06/2018. The study included patients aged 16 years and older. We calculated HFRS for patients who had been previously admitted to the hospital within the previous 2 years. The study developed Logistic Regression models (crude and adjusted) for nine prediction periods of LOS to assess association between (LOS and HFRS) and (LOS and Charlson Comorbidity Index-CCI), using odds ratios, and AUROC to assess model performance.<h4>Results</h4>An increase in HFRS is associated with prolonged LOS. HFRS alone or combined with CCI were more important predictor of long LOS in most of periods to predict LOS. However, crude HFRS was superior to the models where HFRS was combined with any other variable for LOS in excess of 21 days, which had AUROCs ranging from 0·867 to 0·890. Regarding eight age groups, crude HFRS remained the first or second most effective predictor of long LOS. HFRS alone or combined with CCI was superior to other models for patients older than 44 years for all periods of LOS; whereas for patients younger than 44 years it was superior for all LOS except 45, 60, and 90 days.<h4>Conclusion</h4>This study has demonstrated the utility of HFRS to predict hospital LOS in patients across all ages. |
| format | Article |
| id | doaj-art-23fc4c260f704be3a762a46180fcd68d |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Public Library of Science (PLoS) |
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| series | PLoS ONE |
| spelling | doaj-art-23fc4c260f704be3a762a46180fcd68d2025-02-05T05:31:06ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01201e031723410.1371/journal.pone.0317234Using the Hospital Frailty Risk Score to predict length of stay across all adult ages.Huda KutraniJim BriggsDavid PrytherchClaire Spice<h4>Background</h4>Hospital Frailty Risk Score (HFRS) has recently been used to predict adverse health outcomes including length of stay (LOS) in hospital. LOS is an important indicator for patient quality of care, the measurement of hospital performance, efficiency and costs. Tools to predict LOS may enable earlier interventions in those identified at higher risk of a long stay. Previous work focused on patients over 75 years of age, but we explore the relationship between HFRS and LOS for all adults.<h4>Methods</h4>This is a retrospective cohort study using data from a large acute hospital during the period from 01/01/2010 to 30/06/2018. The study included patients aged 16 years and older. We calculated HFRS for patients who had been previously admitted to the hospital within the previous 2 years. The study developed Logistic Regression models (crude and adjusted) for nine prediction periods of LOS to assess association between (LOS and HFRS) and (LOS and Charlson Comorbidity Index-CCI), using odds ratios, and AUROC to assess model performance.<h4>Results</h4>An increase in HFRS is associated with prolonged LOS. HFRS alone or combined with CCI were more important predictor of long LOS in most of periods to predict LOS. However, crude HFRS was superior to the models where HFRS was combined with any other variable for LOS in excess of 21 days, which had AUROCs ranging from 0·867 to 0·890. Regarding eight age groups, crude HFRS remained the first or second most effective predictor of long LOS. HFRS alone or combined with CCI was superior to other models for patients older than 44 years for all periods of LOS; whereas for patients younger than 44 years it was superior for all LOS except 45, 60, and 90 days.<h4>Conclusion</h4>This study has demonstrated the utility of HFRS to predict hospital LOS in patients across all ages.https://doi.org/10.1371/journal.pone.0317234 |
| spellingShingle | Huda Kutrani Jim Briggs David Prytherch Claire Spice Using the Hospital Frailty Risk Score to predict length of stay across all adult ages. PLoS ONE |
| title | Using the Hospital Frailty Risk Score to predict length of stay across all adult ages. |
| title_full | Using the Hospital Frailty Risk Score to predict length of stay across all adult ages. |
| title_fullStr | Using the Hospital Frailty Risk Score to predict length of stay across all adult ages. |
| title_full_unstemmed | Using the Hospital Frailty Risk Score to predict length of stay across all adult ages. |
| title_short | Using the Hospital Frailty Risk Score to predict length of stay across all adult ages. |
| title_sort | using the hospital frailty risk score to predict length of stay across all adult ages |
| url | https://doi.org/10.1371/journal.pone.0317234 |
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