Predicting the length of hospital stay of post-acute care patients in Taiwan using the Chinese version of the continuity assessment record and evaluation item set.
The Chinese version of the Continuity Assessment Record and Evaluation (CARE-C) item set was developed to facilitate the assessment of post-acute care (PAC) patients in Taiwan. Considering that the length of hospital stay (LOS) has a significant effect on the total healthcare cost, determining wheth...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2017-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC5568231?pdf=render |
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| author | Chen-Yu Hung Wei-Ting Wu Ke-Vin Chang Tyng-Guey Wang Der-Sheng Han |
| author_facet | Chen-Yu Hung Wei-Ting Wu Ke-Vin Chang Tyng-Guey Wang Der-Sheng Han |
| author_sort | Chen-Yu Hung |
| collection | DOAJ |
| description | The Chinese version of the Continuity Assessment Record and Evaluation (CARE-C) item set was developed to facilitate the assessment of post-acute care (PAC) patients in Taiwan. Considering that the length of hospital stay (LOS) has a significant effect on the total healthcare cost, determining whether the CARE-C scores could predict the LOS of PAC patients is of great interest to the PAC providers.This prospective trial included PAC patients with stroke or central nervous system injuries. The demographic data and CARE-C scores were collected after admission and before discharge. A multivariable stepwise linear regression model was used to identify the predictors of the LOS using age, sex, tube placement status, CARE-C component scores at admission, and score differences between admission and discharge as independent variables.This study included 178 patients (66 women and 112 men), with a mean age of 61.9 ± 15.6 years. Indwelling urinary catheter placement status at admission (β = 0.241, p = 0.002) was a positive predictor of the LOS, whereas age (β = -0.189, p = 0.010), core transfer subscale score at admission (β = -0.176, p = 0.020), and difference in continence subscale score (β = -0.203, p = 0.008) were negative predictors of the LOS. The model explained 14% of the total variance.Indwelling urinary catheter placement status at admission, age, core transfer subscale score at admission, and difference in the CARE-C continence subscale score were identified as predictors of the LOS. The explanatory power of these predictors might be limited due to the regulations of Taiwan's National Health Insurance. |
| first_indexed | 2024-12-11T01:30:51Z |
| format | Article |
| id | doaj.art-a4584d1c504249b9a5e95011eb1ffc06 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-11T01:30:51Z |
| publishDate | 2017-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-a4584d1c504249b9a5e95011eb1ffc062022-12-22T01:25:21ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-01128e018361210.1371/journal.pone.0183612Predicting the length of hospital stay of post-acute care patients in Taiwan using the Chinese version of the continuity assessment record and evaluation item set.Chen-Yu HungWei-Ting WuKe-Vin ChangTyng-Guey WangDer-Sheng HanThe Chinese version of the Continuity Assessment Record and Evaluation (CARE-C) item set was developed to facilitate the assessment of post-acute care (PAC) patients in Taiwan. Considering that the length of hospital stay (LOS) has a significant effect on the total healthcare cost, determining whether the CARE-C scores could predict the LOS of PAC patients is of great interest to the PAC providers.This prospective trial included PAC patients with stroke or central nervous system injuries. The demographic data and CARE-C scores were collected after admission and before discharge. A multivariable stepwise linear regression model was used to identify the predictors of the LOS using age, sex, tube placement status, CARE-C component scores at admission, and score differences between admission and discharge as independent variables.This study included 178 patients (66 women and 112 men), with a mean age of 61.9 ± 15.6 years. Indwelling urinary catheter placement status at admission (β = 0.241, p = 0.002) was a positive predictor of the LOS, whereas age (β = -0.189, p = 0.010), core transfer subscale score at admission (β = -0.176, p = 0.020), and difference in continence subscale score (β = -0.203, p = 0.008) were negative predictors of the LOS. The model explained 14% of the total variance.Indwelling urinary catheter placement status at admission, age, core transfer subscale score at admission, and difference in the CARE-C continence subscale score were identified as predictors of the LOS. The explanatory power of these predictors might be limited due to the regulations of Taiwan's National Health Insurance.http://europepmc.org/articles/PMC5568231?pdf=render |
| spellingShingle | Chen-Yu Hung Wei-Ting Wu Ke-Vin Chang Tyng-Guey Wang Der-Sheng Han Predicting the length of hospital stay of post-acute care patients in Taiwan using the Chinese version of the continuity assessment record and evaluation item set. PLoS ONE |
| title | Predicting the length of hospital stay of post-acute care patients in Taiwan using the Chinese version of the continuity assessment record and evaluation item set. |
| title_full | Predicting the length of hospital stay of post-acute care patients in Taiwan using the Chinese version of the continuity assessment record and evaluation item set. |
| title_fullStr | Predicting the length of hospital stay of post-acute care patients in Taiwan using the Chinese version of the continuity assessment record and evaluation item set. |
| title_full_unstemmed | Predicting the length of hospital stay of post-acute care patients in Taiwan using the Chinese version of the continuity assessment record and evaluation item set. |
| title_short | Predicting the length of hospital stay of post-acute care patients in Taiwan using the Chinese version of the continuity assessment record and evaluation item set. |
| title_sort | predicting the length of hospital stay of post acute care patients in taiwan using the chinese version of the continuity assessment record and evaluation item set |
| url | http://europepmc.org/articles/PMC5568231?pdf=render |
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