Unique ID issued by UMIN | UMIN000040103 |
---|---|
Receipt number | R000045659 |
Scientific Title | Validation of a new predictive model for inpatient's fall using public ADL scale in Japan (Bedriddenness rank and cognitive function score);Two-center prospective observational study |
Date of disclosure of the study information | 2020/04/08 |
Last modified on | 2023/04/16 16:31:19 |
Development of a new predictive model for inpatient's fall using public ADL scale in Japan (Bedriddenness rank and cognitive function score)
New predictive model for inpatient's fall using public ADL scale
Validation of a new predictive model for inpatient's fall using public ADL scale in Japan (Bedriddenness rank and cognitive function score);Two-center prospective observational study
Validation of a new predictive model for inpatient's fall using public ADL scale in Japan;Two-center prospective observational study
Japan |
Adult inpatient
Nursing | Not applicable |
Others
NO
Validate the utility of the predictive fall model developed for risk assessment.
Efficacy
Confirmatory
Fall during hospitalization
Observational
20 | years-old | <= |
Not applicable |
Male and Female
Adult inpatients
Patient who refused an agreement
3000
1st name | Masaki |
Middle name | |
Last name | Tago |
Saga University Hospital
General Medicine
849-8501
5-1-1 Nabeshima, Saga 849-8501, Japan
0952-34-3238
tagomas@cc.saga-u.ac.jp
1st name | Masaki |
Middle name | |
Last name | Tago |
Saga University Hospital
General Medicine
849-8501
5-1-1 Nabeshima, Saga 849-8501, Japan
0952-34-3238
tagomas@cc.saga-u.ac.jp
Saga University Hospital
Japan society for the promotion of science
Japanese Governmental office
Yuai-kai Foundation and Oda Hospital
4306 Takatsuhara, Kashima, Saga 849-1311, Japan
0954-63-3275
renkei@yuai-hc.jp
NO
2020 | Year | 04 | Month | 08 | Day |
Published
https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/35428196/
3757
All 141(3.8%) among 3,551 patients had a fall. In univariate analysis, the group with falls was older, higher rates of patients admitted in emergency, admitted to departments of Internal medicine/Neurosurgery, used sleeping pills, fell previously, are independent in food intake. They had a different rates of falls by bedrriddenness rank (p<0.05). The AUC of the prediction model for falls in the whole patients, Oda, and Fuji Yamato were 0.793, 0.822 and 0.642, respectively.
2020 | Year | 10 | Month | 20 | Day |
Delay expected |
in press
2022 | Year | 04 | Month | 15 | Day |
125 falls occurred (3.5%), the median age (interquartile range) was 78 years (66-87), 47.9% were men, the median length of hospital stay (interquartile range) was 10 (5-18) days, and the incidence rate of falls was 2.25 per 1,000 patient-days.
During the study period 3,757 inpatients were eligible.
None
Fall during hospitalization
Completed
2018 | Year | 09 | Month | 25 | Day |
2019 | Year | 06 | Month | 25 | Day |
2018 | Year | 10 | Month | 01 | Day |
2019 | Year | 11 | Month | 01 | Day |
2020 | Year | 04 | Month | 20 | Day |
2020 | Year | 05 | Month | 01 | Day |
2020 | Year | 06 | Month | 01 | Day |
Age, gender, emergency admission, use of hypnotics, history of falls, Bedriddenness rank, cognitive function score, presence of referrals, and falls during hospitalization are obtained from the electronic medical record.
2020 | Year | 04 | Month | 08 | Day |
2023 | Year | 04 | Month | 16 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000045659