Individuals Aged 75 and Older Dying at Night: A Retrospective Cohort Study in a Japanese Acute Care Hospital

2016 ◽  
Vol 64 (7) ◽  
pp. 1516-1518
Author(s):  
Sho Nishiguchi ◽  
Joel Branch ◽  
Izumi Kitagawa ◽  
Yasuharu Tokuda
Keyword(s):  
Cohort Study ◽  
Acute Care ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Acute Care Hospital ◽  
Care Hospital

scholarly journals Prevalence of symptoms at the end of life in an acute care hospital: a retrospective cohort study

CMAJ Open ◽  
2017 ◽  
Vol 5 (1) ◽  
pp. E222-E228 ◽  
Author(s):  
Daniel Kobewka ◽  
Paul Ronksley ◽  
Dan McIsaac ◽  
Sunita Mulpuru ◽  
Alan Forster
Keyword(s):  
Cohort Study ◽  
End Of Life ◽  
Acute Care ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Acute Care Hospital ◽  
Care Hospital

scholarly journals New Predictive Models for Falls in Acute Care Setting Classified Using An Activities of Daily Living Scale in Japan: A Retrospective Cohort Study

2021 ◽  
Author(s):  
Chihiro Saito ◽  
Eiji Nakatani ◽  
Yoko Sato ◽  
Naoko Katuki ◽  
Masaki Tago ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Cohort Study ◽  
Prediction Model ◽  
Acute Care ◽  
Retrospective Cohort Study ◽  
Daily Living ◽  
Retrospective Cohort ◽  
Acute Care Hospital ◽  
Care Hospital ◽  
Fall Prediction

Abstract Background In several current fall prediction models, the reported predictors vary from one model to another. We developed and validated a new fall prediction model for patients admitted to an acute care hospital by identifying predictors of falls considering a combination of background factors and one crucial stratum. Methods We conducted a retrospective cohort study of patients admitted to Shizuoka General Hospital from April 2019 to September 2020, aged 20 years or older. We developed and validated a new fall prediction model by identifying predictors of falls stratified by essential activities of daily living (ADL) indicators and integrating these models. Results A total of 22,988 individuals were included in the analysis, with 653 (2.8 %) experiencing all falls and 400 (1.7 %) experiencing falls with medical resources during the study period. Multivariate analysis was performed after one stratification level, using bedridden rank (ability to move around in daily life) as a stratifying variable, a clinically important variable and highly correlated with 17 other variables. The results of multivariate analysis showed that the risk factors for falls (high risk) were age (high), sex (men), and ambulance transport (yes) for rank J (independence/autonomy); age (high),) and sex (men) for rank A (house-bound); There were no predictors for rank B (chair-bound); and there was ophthalmologic disease (no) for rank C (bed-bound). The c-index indicating the prediction model’s performance for falls within 28 days of hospitalisation was 0.705 (95 % CI, 0.664–0.746). Hosmer-Lemeshow goodness-of-fit statistics were significant (χ2 = 192.06; 8 degrees of freedom; p < 0.001). The c-index for the entire unstratified sample was 0.703 (95 % CI, 0.661–0.746), indicating that the predictive model stratified by bedriddenness rank was accurate (p < 0.001). Conclusion We identified predictors of falls using important ADLs (bedriddenness rank) and developed a more accurate prediction model in acute care hospital settings. This predictive model is an essential tool for fall prevention.

Effectiveness of 7-day versus weekday-only rehabilitation for stroke patients in an acute-care hospital: a retrospective cohort study

2017 ◽  
Vol 40 (25) ◽  
pp. 3050-3053 ◽  
Author(s):  
Tomoko Nakazora ◽  
Konosuke Iwamoto ◽  
Tetsuhito Kiyozuka ◽  
Hirohiko Arimoto ◽  
Toshiki Shirotani ◽  
...  
Keyword(s):  
Cohort Study ◽  
Acute Care ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Acute Care Hospital ◽  
Care Hospital ◽  
Stroke Patients

scholarly journals The incidence of adverse events in an Italian acute care hospital: findings of a two-stage method in a retrospective cohort study

2014 ◽  
Vol 14 (1) ◽  
Author(s):  
Lorenzo Sommella ◽  
Chiara de Waure ◽  
Anna Maria Ferriero ◽  
Amalia Biasco ◽  
Maria Teresa Mainelli ◽  
...  
Keyword(s):  
Cohort Study ◽  
Adverse Events ◽  
Acute Care ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Acute Care Hospital ◽  
Care Hospital ◽  
Two Stage

The occurrence and timing of delirium in acute care hospitalizations in the last year of life: A population-based retrospective cohort study

2020 ◽  
Vol 34 (8) ◽  
pp. 1067-1077
Author(s):  
Colleen Webber ◽  
Christine L Watt ◽  
Shirley H Bush ◽  
Peter G Lawlor ◽  
Robert Talarico ◽  
...  
Keyword(s):  
Cohort Study ◽  
Confidence Interval ◽  
Acute Care ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Prevalence Ratio ◽  
Acute Care Hospitals ◽  
Population Based ◽  
Care Hospital ◽  
Factors Associated

Background: Delirium is a distressing neurocognitive disorder that is common among terminally ill individuals, although few studies have described its occurrence in the acute care setting among this population. Aim: To describe the prevalence of delirium in patients admitted to acute care hospitals in Ontario, Canada, in their last year of life and identify factors associated with delirium. Design: Population-based retrospective cohort study using linked health administrative data. Delirium was identified through diagnosis codes on hospitalization records. Setting/participants: Ontario decedents (1 January 2014 to 31 December 2016) admitted to an acute care hospital in their last year of life, excluding individuals age of <18 years or >105 years at admission, those not eligible for the provincial health insurance plan between their hospitalization and death dates, and non-Ontario residents. Results: Delirium was recorded as a diagnosis in 8.2% of hospitalizations. The frequency of delirium-related hospitalizations increased as death approached. Delirium prevalence was higher in patients with dementia (prevalence ratio: 1.43; 95% confidence interval: 1.36–1.50), frailty (prevalence ratio: 1.67; 95% confidence interval: 1.56–1.80), or organ failure–related cause of death (prevalence ratio: 1.23; 95% confidence interval: 1.16–1.31) and an opioid prescription (prevalence ratio: 1.17; 95% confidence interval: 1.12–1.21). Prevalence also varied by age, sex, chronic conditions, antipsychotic use, receipt of long-term care or home care, and hospitalization characteristics. Conclusion: This study described the occurrence and timing of delirium in acute care hospitals in the last year of life and identified factors associated with delirium. These findings can be used to support delirium prevention and early detection in the hospital setting.

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