An Integrated Review of Evidence-based Healthcare Designfor Healing Environments: Focusing on Long-term Care Facilities

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

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

Infection Control and Hospital Epidemiology ◽

10.1086/501713 ◽

2000 ◽

Vol 21 (10) ◽

pp. 680-683 ◽

Cited By ~ 24

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.

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Evidence-based Recommendations to Inform Best Practices for LGBTQ Older Adults in Long-term Care Settings

Innovation in Aging ◽

10.1093/geroni/igab046.3084 ◽

2021 ◽

Vol 5 (Supplement_1) ◽

pp. 851-851

Author(s):

Katherine Fasullo ◽

Erik McIntosh ◽

Todd Ruppar ◽

Sarah Ailey ◽

Susan Buchholz

Keyword(s):

Older Adults ◽

Best Practices ◽

Best Practice ◽

Long Term Care ◽

Guideline Development ◽

Care Staff ◽

Evidence Based ◽

Term Care ◽

Care Facilities

Abstract Lesbian, gay, bisexual, transgender, and queer (LGBTQ) older adults are more likely to live alone and have less familial support, which disproportionately contributes to a reliance on long-term care facilities as they age. Best-practice guidelines supported by scholarly literature to care for LGBTQ older adults in long-term care settings do not exist. This review synthesizes literature about LGBTQ older adults in long-term care facilities and provides recommendations for best practice guideline development. Four electronic databases were searched in June 2019 for studies conducted between 2000 – 2019 related to caring for LGBTQ older adults in long-term care settings. An integrative literature review was completed on the twenty eligible studies. Findings showed that LGBTQ participants fear discrimination in long-term care leading to the invisibility of their identities. They recognize a need for increased staff training and the importance of community networks and facility preferences. Long-term care staff have mixed experiences with inclusive practices and complex views of LGBTQ older adults. They experience training deficits and have a need for more expansive training modalities. The recommendations offered by both LGBTQ participants and long-term care staff are to revise policies and forms as well as provide widespread training and education. LGBTQ participants recommend that their unique identities be recognized within long-term care while long-term care staff recommend leadership involvement to change culture and practice. This review provides evidence-based recommendations to promote equitable healthcare to the LGBTQ older adult population and calls to attention the need for long-term care settings to uniformly follow best-practices.

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