Design and Development of a Web-based Delirium Preventive Application for Long-term Care Facilities: A Methodological Study (Preprint)

2020 ◽  
Author(s):  
Kyoung Ja Moon ◽  
Chang-Sik Son ◽  
Jong-Ha Lee ◽  
Mina Park
Keyword(s):  
Risk Factors ◽  
Long Term Care ◽  
Cloud System ◽  
Evidence Based ◽  
Methodological Study ◽  
Term Care ◽  
Web Based ◽  
Care Facilities ◽  
Delirium Prevention

BACKGROUND Long-term care facilities demonstrate low levels of knowledge and care for patients with delirium and are often not properly equipped with an electronic medical record system, thereby hindering systematic approaches to delirium monitoring. OBJECTIVE This study aims to develop a web-based delirium preventive application (app), with an integrated predictive model, for long-term care (LTC) facilities using artificial intelligence (AI). METHODS This methodological study was conducted to develop an app and link it with the Amazon cloud system. The app was developed based on an evidence-based literature review and the validity of the AI prediction model algorithm. Participants comprised 206 persons admitted to LTC facilities. The app was developed in 5 phases. First, through a review of evidence-based literature, risk factors for predicting delirium and non-pharmaceutical contents for preventive intervention were identified. Second, the app, consisting of several screens, was designed; this involved providing basic information, predicting the onset of delirium according to risk factors, assessing delirium, and intervening for prevention. Third, based on the existing data, predictive analysis was performed, and the algorithm developed through this was calculated at the site linked to the web through the Amazon cloud system and sent back to the app. Fourth, a pilot test using the developed app was conducted with 33 patients. Fifth, the app was finalized. RESULTS We developed the Web_DeliPREVENT_4LCF for patients of LTC facilities. This app provides information on delirium, inputs risk factors, predicts and informs the degree of delirium risk, and enables delirium measurement or delirium prevention interventions to be immediately implemented with a verified tool. CONCLUSIONS This web-based application is evidence-based and offers easy mobilization and care to patients with delirium in LTC facilities. Therefore, the use of this app improves the unrecognized of delirium and predicts the degree of delirium risk, thereby helping initiatives for delirium prevention and providing interventions. This would ultimately improve patient safety and quality of care. CLINICALTRIAL none

Antibiotic Use in Long-Term–Care Facilities: Many Unanswered Questions

2000 ◽  
Vol 21 (10) ◽  
pp. 680-683 ◽  
Author(s):  
Mark Loeb
Keyword(s):  
Antibiotic Resistance ◽  
Long Term Care ◽  
Diagnostic Testing ◽  
Antibiotic Use ◽  
Quantitative Relation ◽  
Antibiotic Prescribing ◽  
Evidence Based ◽  
Term Care ◽  
Care Facilities

AbstractThe extensive use of antibiotics in long-term–care facilities has led to increasing concern about the potential for the development of antibiotic resistance. Relatively little is known, however, about the quantitative relation between antibiotic use and resistance in this population. A better understanding of the underlying factors that account for variance in antibiotic use, unexplained by detected infections, is needed. To optimize antibiotic use, evidence-based standards for empirical antibiotic prescribing need to be developed. Limitations in current diagnostic testing for infection in residents of long-term–care facilities pose a substantial challenge to developing such standards.

scholarly journals Long-Term Care Facilities Are Reservoirs for Antimicrobial-Resistant Sequence Type 131 Escherichia coli

2015 ◽  
Vol 2 (1) ◽  
Author(s):  
Mary J. Burgess ◽  
James R. Johnson ◽  
Stephen B. Porter ◽  
Brian Johnston ◽  
Connie Clabots ◽  
...  
Keyword(s):  
Risk Factors ◽  
Escherichia Coli ◽  
Gel Electrophoresis ◽  
Long Term Care ◽  
Pulsed Field Gel Electrophoresis ◽  
Sequence Type ◽  
Term Care ◽  
E Coli ◽  
Care Facilities

Abstract Background.  Emerging data implicate long-term care facilities (LTCFs) as reservoirs of fluoroquinolone-resistant (FQ-R) Escherichia coli of sequence type 131 (ST131). We screened for ST131 among LTCF residents, characterized isolates molecularly, and identified risk factors for colonization. Methods.  We conducted a cross-sectional study using a single perianal swab or stool sample per resident in 2 LTCFs in Olmsted County, Minnesota, from April to July 2013. Confirmed FQ-R E. coli isolates underwent polymerase chain reaction-based phylotyping, detection of ST131 and its H30 and H30-Rx subclones, extended virulence genotyping, and pulsed-field gel electrophoresis (PFGE) analysis. Epidemiological data were collected from medical records. Results.  Of 133 fecal samples, 33 (25%) yielded FQ-R E. coli, 32 (97%) of which were ST131. The overall proportion with ST131 intestinal colonization was 32 of 133 (24%), which differed by facility: 17 of 41 (42%) in facility 1 vs 15 of 92 (16%) in facility 2 (P = .002). All ST131 isolates represented the H30 subclone, with virulence gene and PFGE profiles resembling those of previously described ST131 clinical isolates. By PFGE, certain isolates clustered both within and across LTCFs. Multivariable predictors of ST131 colonization included inability to sign consent (odds ratio [OR], 4.16 [P = .005]), decubitus ulcer (OR, 4.87 [ P = .04]), and fecal incontinence (OR, 2.59 [P = .06]). Conclusions.  Approximately one fourth of LTCF residents carried FQ-R ST131 E. coli resembling ST131 clinical isolates. Pulsed-field gel electrophoresis suggested intra- and interfacility transmission. The identified risk factors suggest that LTCF residents who require increased nursing care are at greatest risk for ST131 colonization, possibly due to healthcare-associated transmission.

scholarly journals EPIDEMIOLOGY AND TRANSMISSION OF CARBAPENEMASE-PRODUCING ENTEROBACTERIACEAE IN A HEALTHCARE NETWORK OF AN ACUTE HOSPITAL AND ITS AFFILIATED INTERMEDIATE- AND LONG-TERM CARE FACILITIES IN SINGAPORE

2021 ◽  
Author(s):  
Aung-Hein Aung ◽  
Kala Kanagasabai ◽  
Jocelyn Koh ◽  
Pei-Yun Hon ◽  
Brenda Ang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Long Term Care ◽  
Acute Care Hospital ◽  
Care Hospital ◽  
Cross Sectional ◽  
Term Care ◽  
Healthcare Network ◽  
Care Facilities ◽  
Facility Type

BACKGROUND Movement of patients in a healthcare network poses challenges for the control of carbapenemase-producing Enterobacteriaceae (CPE). We aimed to identify intra- and inter-facility transmission events and facility type-specific risk factors of CPE in an acute care hospital (ACH) and its intermediate-term and long-term care facilities (ILTCFs). METHODS Serial cross-sectional studies were conducted in June-July of 2014-2016 to screen for CPE. Whole genome sequencing was done to identify strain relatedness and CPE genes (blaIMI; blaIMP-1; blaKPC-2; blaNDM-1; blaOXA-48). Multivariable logistic regression models, stratified by facility type were used to determine independent risk factors. RESULTS Of 5357 patients, half (55%) were from the ACH. CPE prevalence was 1.3% in the ACH and 0.7% in ILTCFs (p=0.029). After adjusting for socio-demographics, screening year, and facility type, the odds of CPE colonization increased significantly with hospital stay ≥ 3 weeks (aOR 2.67, 95%CI 1.17-6.05), penicillins use (aOR 3.00, 95%CI 1.05–8.56), proton pump inhibitors use (aOR 3.20, 95%CI 1.05–9.80), dementia (aOR 3.42, 95%CI 1.38–8.49), connective tissue disease (aOR 5.10, 95%CI 1.19-21.81), and prior carbapenem-resistant Enterobacteriaceae (CRE) carriage (aOR 109.02, 95%CI 28.47–417.44) in the ACH. For ILTCFs, presence of wound (aOR 5.30, 95%CI 1.01–27.72), respiratory procedures (aOR 4.97, 95%CI 1.09-22.71), vancomycin-resistant Enterococci carriage (aOR 16.42, 95%CI 1.52–177.48), and CRE carriage (aOR 758.30, 95%CI 33.86-16982.52) showed significant association. Genomic analysis revealed only possible intra-ACH transmission, and no evidence for ACH-to-ILTCFs transmission. CONCLUSIONS Although CPE colonization was predominantly in the ACH, risk factors varied between facilities. Targeted screening and precautionary measures are warranted.

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