Unique ID issued by UMIN | UMIN000039694 |
---|---|
Receipt number | R000045274 |
Scientific Title | Development of a new predictive model for falls among inpatients using the Japan MHLW bedriddenness rank in daily living |
Date of disclosure of the study information | 2020/03/04 |
Last modified on | 2020/10/21 10:46:26 |
Development of a new predictive model for falls among inpatients using the Japan MHLW bedriddenness rank in daily living
Development of predictive model for inpatients' fall
Development of a new predictive model for falls among inpatients using the Japan MHLW bedriddenness rank in daily living
Development of predictive model for inpatients' fall
Japan |
Adult inpatients
Nursing | Not applicable |
Others
NO
Few predictive formulas which have been developed previously are challenging to use because of their complexity. In this study, we develop and validate a new predictive model for falls in adult inpatients using the bedriddenness rank, which is easier to use than the formula previously reported.
Efficacy
Inpatients' fall during hospitalization
Observational
20 | years-old | <= |
Not applicable |
Male and Female
All of adult inpatients
Patient who refused an agreement
9000
1st name | Masaki |
Middle name | |
Last name | Tago |
Saga University Hospital
General Medicine
849-8501
5-1-1 Nabeshima, Saga 849-8501, Japan
81-952-34-3238
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
81-952-34-3238
tagomas@cc.saga-u.ac.jp
Saga University Hospital
None
Other
Yuai-kai Foundation and Oda Hospital
Yuai-kai Foundation and Oda Hospital
4306 Takatsuhara, Kashima, Saga 849-1311, Japan
0954-63-3275
renkei@yuai-hc.jp
NO
2020 | Year | 03 | Month | 04 | Day |
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0236130
Published
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0236130
7858
7858 adult patents were available. Using model 1 consist of 13 factors, multivariate logistic regression analysis showed that the significant related factors were male, emergency admission, Department of Neurosurgery, use of hypnotic, previous falls, independent to eat, and bedriddenness rank. The AUC of model 1 was 0.808 in the test set, 0.789 in the validation set. For the model consisting of above 7 factors and age, the AUC was 0.806 in the test set, 0.787 in the validation set.
2020 | Year | 03 | Month | 04 | Day |
Reject from journals
2020 | Year | 07 | Month | 16 | Day |
In the test set, 243 falls occurred (4.6%), the median age (interquartile range) was 77 years (62-85), 34% were men, the median length of hospital stay (interquartile range) was 9 (5-16) days, and the incidence rate of falls was 3.5 per 1,000 patient-days. In the validation set, 122 falls occurred (4.7%).
During the study period 8,343 inpatients were admitted, 8,031 of whom were aged 20 years or older. Among them, 7,858 were eligible , being randomly extracted to two groups, the test set (5,257) and the validation set (2,601).
None.
The data in this study were extracted from the hospital's health records as follows. The variables on admission were age, sex (male and female), department of admission (Internal Medicine, Neurosurgery, or others), emergency admission (presence or absence), ambulance transfer (presence or absence), ADLs (ability to eat, go to the toilet, bathe, take prescribed medicines, and move independently), MHLW classifications for abilities of daily living, use of hypnotic medications (both benzodiazepine and non-benzodiazepine types; presence or absence), dependence on a wheelchair (presence or absence), admission with a referral letter from a primary physician (presence or absence), permanent residual damage from previous strokes, visual impairment, parkinsonism (presence or absence), and a history of falls (presence or absence).
Primary outcome, falls during hospitalization, were identified from the fall-specific report forms in the incident reports, which were mandatorily recorded and submitted by attending medical personnel when falls occurred during a hospital stay.
Completed
2015 | Year | 05 | Month | 29 | Day |
2015 | Year | 09 | Month | 10 | Day |
2015 | Year | 05 | Month | 29 | Day |
2015 | Year | 05 | Month | 29 | Day |
2020 | Year | 02 | Month | 13 | Day |
Data including age, sex, activity of daily living, bedriddenness rank, cognitive function score in daily living, referral letter, hyptonic, previous fall, and emergency admission and fall during hospitalization were derived from hospital records.
2020 | Year | 03 | Month | 04 | Day |
2020 | Year | 10 | Month | 21 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000045274
Research Plan | |
---|---|
Registered date | File name |
Research case data specifications | |
---|---|
Registered date | File name |
Research case data | |
---|---|
Registered date | File name |
2020/03/05 | 20150403ファイル結合転倒1追加4例.xlsx |