Long-term care staffs' experience in facilitating the use of videoconferencing by cognitively impaired long-term care residents during the COVID-19 pandemic: a mixed-methods study.

BACKGROUND: During the COVID-19 pandemic, numerous long-term care (LTC) homes faced restrictions that prevented face-to-face visits. To address this challenge and maintain family connections, many LTC homes facilitated the use of electronic tablets to connect residents with their family caregivers. Our study sought to explore the acceptability of this practice among staff members and managers, focusing on their experiences with facilitating videoconferencing. METHODS: A convergent mixed method research was performed. Qualitative and quantitative data collection through semi-structured interviews to assess the acceptability of videoconferencing in long-term care homes and to explore the characteristics of these settings. Quantitative data on the acceptability of the intervention were collected using a questionnaire developed as part of the project. The study included a convenience sample of 17 staff members and four managers. RESULTS: Managers described LTC homes' characteristics, and the way videoconferencing was implemented within their institutions. Affective attitude, burden, ethicality, opportunity costs, perceived effectiveness, and self-efficacy are reported as per the constructs of the Theoretical Framework of Acceptability. The results suggest a favorable acceptability and a positive attitude of managers and staff members toward the use of videoconferencing in long-term care to preserve and promote contact between residents and their family caregivers. However, participants reported some challenges related to the burden and the costs regarding the invested time and staff shortage. CONCLUSIONS: LTC home staff reported a clear understanding of the acceptability and challenges regarding the facilitation of videoconferencing by residents to preserve their contact with family caregivers.

Artificial Intelligence for Detection of Dementia Using Motion Data: A Scoping Review.

Background: Dementia is a neurodegenerative disease resulting in the loss of cognitive and psychological functions. Artificial intelligence (AI) may help in detection and screening of dementia; however, little is known in this area. Objectives: The objective of this study was to identify and evaluate AI interventions for detection of dementia using motion data. Method: The review followed the framework proposed by O'Malley's and Joanna Briggs Institute methodological guidance for scoping reviews. We adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) checklist for reporting the results. An information specialist performed a comprehensive search from the date of inception until November 2020, in five bibliographic databases: MEDLINE, EMBASE, Web of Science Core Collection, CINAHL, and IEEE Xplore. We included studies aimed at the deployment and testing or implementation of AI interventions using motion data for the detection of dementia among a diverse population, encompassing varying age, sex, gender, economic backgrounds, and ethnicity, extending to their health care providers across multiple health care settings. Studies were excluded if they focused on Parkinson's or Huntington's disease. Two independent reviewers screened the abstracts, titles, and then read the full-texts. Disagreements were resolved by consensus, and if this was not possible, the opinion of a third reviewer was sought. The reference lists of included studies were also screened. Results: After removing duplicates, 2,632 articles were obtained. After title and abstract screening and full-text screening, 839 articles were considered for categorization. The authors categorized the papers into six categories, and data extraction and synthesis was performed on 20 included papers from the motion tracking data category. The included studies assessed cognitive performance (n = 5, 25%); screened dementia and cognitive decline (n = 8, 40%); investigated visual behaviours (n = 4, 20%); and analyzed motor behaviors (n = 3, 15%). Conclusions: We presented evidence of AI systems being employed in the detection of dementia, showcasing the promising potential of motion tracking within this domain. Although some progress has been made in this field recently, there remain notable research gaps that require further exploration and investigation. Future endeavors need to compare AI interventions using motion data with traditional screening methods or other tech-enabled dementia detection mechanisms. Besides, future works should aim at understanding how gender and sex, and ethnic and cultural sensitivity can contribute to refining AI interventions, ensuring they are accessible, equitable, and beneficial across all society.

Measuring Potentially Avoidable Acute Care Transfers From Long-Term Care Homes in Quebec: a Cross Sectional Study.

Background: Potentially avoidable emergency department transfers (PAEDTs) and hospitalizations (PAHs) from long-term care (LTC) homes are two key quality improvement metrics. We aimed to: 1) Measure proportions of PAEDTs and PAHs in a Quebec sample; and 2) Compare them with those reported for the rest of Canada. Methods: We conducted a repeated cross-sectional study of residents who were received at one tertiary hospital between April 2017 and March 2019 from seven LTC homes in Quebec, Canada. The MedUrge emergency department database was used to extract transfers and resident characteristics. Using published definitions, PAEDTs and PAHs were identified from principal emergency department and hospitalization diagnoses, respectively. PAEDT and PAH proportions were compared to those reported by the Canadian Institute for Health Information. Results: A total of 1,233 transfers by 692 residents were recorded, among which 36.3% were classified as being potentially avoidable: 22.8% 'PAEDT only', 11.6% 'both PAEDT & PAH', and 1.9% 'PAH only'. Shortness of breath was the most common reason for transfer. Pneumonia was the most common diagnosis from the 'both PAEDT & PAH' category. PAEDTs and PAHs accounted for 95% and 37% of potentially avoidable transfers, respectively. Among 533 hospitalizations, 31.3% were PAHs. These proportions were comparable to the rest of Canada, with some differences in proportions of transfers due to congestive heart failure, urinary tract infection, and implanted device management. Conclusions: PAEDTs far outweigh PAHs in terms of frequency, and their monitoring is important for quality assurance as they may inform LTC-level interventions aimed at their reduction.

The OptimaMed intervention to reduce medication burden in nursing home residents with severe dementia: results from a pragmatic, controlled study.

BACKGROUND: Nursing home (NH) residents with severe dementia use many medications, sometimes inappropriately within a comfort care approach. Medications should be regularly reviewed and eventually deprescribed. This pragmatic, controlled trial assessed the effect of an interprofessional knowledge exchange (KE) intervention to decrease medication load and the use of medications of questionable benefit among these residents. METHODS: A 6-month intervention was performed in 4 NHs in the Quebec City area, while 3 NHs, with comparable admissions criteria, served as controls. Published lists of "mostly", "sometimes" or "exceptionally" appropriate medications, tailored for NH residents with severe dementia, were used. The intervention included 1) information for participants' families about medication use in severe dementia; 2) a 90-min KE session for NH nurses, pharmacists, and physicians; 3) medication reviews by NH pharmacists using the lists; 4) discussions on recommended changes with nurses and physicians. Participants' levels of agitation and pain were evaluated using validated scales at baseline and the end of follow-up. RESULTS: Seven (7) NHs and 123 participants were included for study. The mean number of regular medications per participant decreased from 7.1 to 6.6 in the intervention, and from 7.7 to 5.9 in the control NHs (p-value for the difference in differences test: < 0.05). Levels of agitation decreased by 8.3% in the intervention, and by 1.4% in the control NHs (p = 0.026); pain levels decreased by 12.6% in the intervention and increased by 7% in the control NHs (p = 0.049). Proportions of participants receiving regular medications deemed only exceptionally appropriate decreased from 19 to 17% (p = 0.43) in the intervention and from 28 to 21% (p = 0.007) in the control NHs (p = 0.22). The mean numbers of regular daily antipsychotics per participant fell from 0.64 to 0.58 in the intervention and from 0.39 to 0.30 in the control NHs (p = 0.27). CONCLUSIONS: This interprofessional intervention to reduce inappropriate medication use in NH residents with severe dementia decreased medication load in both intervention and control NHs, without important concomitant increase in agitation, but mixed effects on pain levels. Practice changes and heterogeneity within these 7 NHs, and a ceiling effect in medication optimization likely interfered with the intervention. TRIAL REGISTRATION: The study is registered at ClinicalTrials.gov: # NCT05155748 (first registration 03-10-2017).

Explainable Machine Learning Model to Predict COVID-19 Severity Among Older Adults in the Province of Quebec.

Context: Patients over the age of 65 years are more likely to experience higher severity and mortality rates than other populations from COVID-19. Clinicians need assistance in supporting their decisions regarding the management of these patients. Artificial Intelligence (AI) can help with this regard. However, the lack of explainability-defined as "the ability to understand and evaluate the internal mechanism of the algorithm/computational process in human terms"-of AI is one of the major challenges to its application in health care. We know little about application of explainable AI (XAI) in health care. Objective: In this study, we aimed to evaluate the feasibility of the development of explainable machine learning models to predict COVID-19 severity among older adults. Design: Quantitative machine learning methods. Setting: Long-term care facilities within the province of Quebec. Participants: Patients 65 years and older presented to the hospitals who had a positive polymerase chain reaction test for COVID-19. Intervention: We used XAI-specific methods (e.g., EBM), machine learning methods (i.e., random forest, deep forest, and XGBoost), as well as explainable approaches such as LIME, SHAP, PIMP, and anchor with the mentioned machine learning methods. Outcome measures: Classification accuracy and area under the receiver operating characteristic curve (AUC). Results: The age distribution of the patients (n=986, 54.6% male) was 84.5□19.5 years. The best-performing models (and their performance) were as follows. Deep forest using XAI agnostic methods LIME (97.36% AUC, 91.65 ACC), Anchor (97.36% AUC, 91.65 ACC), and PIMP (96.93% AUC, 91.65 ACC). We found alignment with the identified reasoning of our models' predictions and clinical studies' findings-about the correlation of different variables such as diabetes and dementia, and the severity of COVID-19 in this population. Conclusions: The use of explainable machine learning models, to predict the severity of COVID-19 among older adults is feasible. We obtained a high-performance level as well as explainability in the prediction of COVID-19 severity in this population. Further studies are required to integrate these models into a decision support system to facilitate the management of diseases such as COVID-19 for (primary) health care providers and evaluate their usability among them.

Taxonomy of Interventions to Reduce Acute Care Transfers From Long-term Care Homes: A Systematic Scoping Review.

OBJECTIVE: To develop a taxonomy of interventions aimed at reducing emergency department (ED) transfers and/or hospitalizations from long-term care (LTC) homes. DESIGN: A systematic scoping review. SETTING AND PARTICIPANTS: Permanent LTC home residents. METHODS: Experimental and comparative observational studies were searched in MEDLINE, CINAHL, Embase Classic + Embase, the Cochrane Library, PsycINFO, Social Work Abstracts, AMED, Global Health, Health and Psychosocial Instruments, Joanna Briggs Institute EBP Database, Ovid Healthstar, and Web of Science Core Collection from inception until March 2020. Forward/backward citation tracking and gray literature searches strengthened comprehensiveness. The Mixed Methods Appraisal Tool was used to assess study quality. Intervention categories and components were identified using an inductive-deductive thematic analysis. Categories were informed by 3 intervention dimensions: (1) "when/at what point(s)" on the continuum of care they occur, (2) "for whom" (ie, intervention target resident populations), and (3) "how" these interventions effect change. Components were informed by the logistical elements of the interventions having the potential to influence outcomes. All interventions were mapped to the developed taxonomy based on their categories, components, and outcomes. Distributions of components by category and study year were graphically presented. RESULTS: Ninety studies (25 randomized, 23 high quality) were included. Six intervention categories were identified: advance care planning; palliative and end-of-life care; onsite care for acute, subacute, or uncontrolled chronic conditions; transitional care; enhanced usual care (most prevalent, 31% of 90 interventions); and comprehensive care. Four components were identified: increasing human resource capacity (most prevalent, 93%), training or reorganization of existing staff, technology, and standardized tools. The use of technology increased over time. Potentially avoidable ED transfers and/or hospitalizations were measured infrequently as primary outcomes. CONCLUSIONS AND IMPLICATIONS: This proposed taxonomy can guide future intervention designs. It can also facilitate systematic reviews and precise effect size estimations for homogenous interventions when outcomes are comparable.

Which has more influence on a family's assessment of the quality of dying of their long-term care resident with dementia: Frequency of symptoms or quality of communication with healthcare team?

OBJECTIVE: Symptoms present at the end of life and the quality of communication with the healthcare team have both been shown to impact family assessments of the quality of dying of their loved one with dementia. However, the relative contributions of these two factors to family assessments have not yet been investigated. To address this knowledge gap, we explored which of these two factors has more influence on family assessments of the quality of dying of long-term care (LTC) residents with dementia. METHOD: This is a secondary analysis of a mortality follow-back study. Ninety-four family members of LTC residents who had died with dementia assessed the quality of dying (very good or not very good), the frequency of symptoms, and the quality of communication with the healthcare team using a self-administered questionnaire mailed 1 month after the resident's death. Logistic regression analyses were performed to determine the relative contributions of the two independent variables of primary interest (frequency of symptoms and quality of communication) to the families' assessments of the quality of dying. RESULTS: Multivariate analyses revealed that the quality of communication with the healthcare team was closely linked to the quality of dying (p = 0.009, OR = 1.34, 95% CI = 1.09-1.65), whereas the frequency of symptoms was not (p = 0.142, OR = 1.05, 95% CI = 0.98-1.11) after controlling for potential confounders. SIGNIFICANCE OF RESULTS: Our findings show that healthcare providers' ability to engage in the end-of-life conversations with families outweighs the frequency of symptoms in family assessments of the quality of dying of their relative with dementia. Enhancing healthcare providers' ability to communicate with families about the end-of-life care could improve families' perceptions of the quality of dying of their relative with dementia and, consequently, ease their grieving process.

Reorganizing Pharmaceutical Care in Family Medicine Groups for Older Adults With or at Risk of Major Neurocognitive Disorders: Protocol for a Mixed Methods Study.

BACKGROUND: The latest global figures show that 55 million persons lived with major neurocognitive disorders (MNCDs) worldwide in 2021. In Quebec, Canada, most of these older adults are cared for by family physicians in interdisciplinary primary care clinics such as family medicine groups (FMG). When a person has a MNCD, taking potentially inappropriate medications or polypharmacy (5 different medications or more) increases their vulnerability to serious adverse events. With the recent arrival of pharmacists working in FMGs and their expanded scope of practice and autonomy, new possibilities for optimizing older adults' pharmacotherapy are opening. OBJECTIVE: This project aims to evaluate the impact of involving these pharmacists in the care trajectory of older adults living with MNCD, in an interdisciplinary collaboration with the FMG team, as well as home care nurses and physicians. Pharmacists will provide medication reviews, interventions, and recommendations to improve the pharmacotherapy and support offered to these patients and their caregivers. METHODS: This 2-step mixed methods study will include a quasi-experimental controlled trial (step 1) and semistructured interviews (step 2). Older adults undergoing cognitive assessment, recently diagnosed with MNCD, or receiving care for this at home will be identified and recruited in FMGs in 2 Quebec regions. FMGs implementing the intervention will involve pharmacists in these patients' care trajectory. Training and regular mentoring will be offered to these FMGs, especially to pharmacists. In control FMGs, no FMG pharmacist will be involved with these patients, and usual care will be provided. RESULTS: Medication use (including appropriateness) and burden, satisfaction of care received, and quality of life will be assessed at study beginning and after 6 months of follow-up and compared between groups. At the end of the intervention study, we will conduct semistructured interviews with FMG care team members (pharmacists, nurses, and physicians) who have experienced the intervention. We will ask about the feasibility of integrating the intervention into practice and their satisfaction with and their perception of the intervention's impacts for older adults and their families. We will assess the effect of improved pharmaceutical care for older adults with or at risk of MNCDs through the involvement of FMG pharmacists and a reorganization of pharmaceutical care. CONCLUSIONS: The inclusion of pharmacists in interdisciplinary care teams is recent and rising, strengthened by more substantial pharmacist practice roles. Results will inform the processes required to successfully involve pharmacists and implement developed tools and procedures transposable to other care settings to improve patient care. TRIAL REGISTRATION: ClinicalTrials.gov NCT04889794; https://clinicaltrials.gov/ct2/show/NCT04889794. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/42577.

The Quebec Observatory on End-of-Life Care for People with Dementia: Implementation and Preliminary Findings.

Most Canadians with dementia die in long-term care (LTC) facilities. No data are routinely collected in Canada on the quality of end-of-life care provided to this vulnerable population, leading to significant knowledge gaps. The Quebec Observatory on End-of-Life Care for People with Dementia was created to address these gaps. The Observatory is a research infrastructure designed to support the collection of data needed to better understand, and subsequently enhance, care quality for residents dying with dementia. This article reports on the main steps involved in setting up the Observatory, as well as a pilot study that involved 172 residents with dementia who died between 2016 and 2018 in one of 13 participating facilities. It describes the data gathered, methodological changes that were made along the way, feedback from participating facilities, and future developments of the Observatory.

The PREvention Program for Alzheimer's RElated Delirium (PREPARED) cluster randomized trial: a study protocol.

BACKGROUND: Delirium is a significant cause of morbidity and mortality among older people admitted to both acute and long-term care facilities (LTCFs). Multicomponent interventions have been shown to reduce delirium incidence in the acute care setting (30-73%) by acting on modifiable risk factors. Little work, however, has focused on using this approach to reduce delirium incidence in LTCFs. METHODS: The objective is to assess the effectiveness of the multicomponent PREPARED Trial intervention in reducing the following primary outcomes: incidence, severity, duration, and frequency of delirium episodes in cognitively impaired residents. This 4-year, parallel-design, cluster randomized study will involve nursing staff and residents in 45-50 LTCFs in Montreal, Canada. Participating public and private LTCFs (clusters) that provide 24-h nursing care will be assigned to either the PREPARED Trial intervention or the control (usual care) arm of the study using a covariate constrained randomization procedure. Approximately 400-600 LTC residents aged 65 and older with dementia and/or cognitive impairment will be enrolled in the study and followed for 18 weeks. Residents must be at risk of delirium, delirium-free at baseline and have resided at the facility for at least 2 weeks. Residents who are unable to communicate verbally, have a history of specific psychiatric conditions, or are receiving end-of-life care will be excluded. The PREPARED Trial intervention consists of four main components: a decision tree, an instruction manual, a training package, and a toolkit. Primary study outcomes will be assessed weekly. Functional autonomy and cognitive levels will be assessed at the beginning and end of follow-up, while information pertaining to modifiable delirium risk factors, medical consultations, and facility transfers will be collected retrospectively for the duration of the follow-up period. Primary outcomes will be reported at the level of intervention assignment. All researchers analyzing the data will be blinded to group allocation. DISCUSSION: This large-scale intervention study will contribute significantly to the development of evidence-based clinical guidelines for delirium prevention in this frail elderly population, as it will be the first to evaluate the efficacy of a multicomponent delirium prevention program translated into LTC clinical practice on a large scale. TRIAL REGISTRATION: NCT03718156 , ClinicalTrials.gov .

Comparison of hospitalized patients with COVID-19 who did and did not live in residential care facilities in Montréal: a retrospective case series.

BACKGROUND: As in other jurisdictions, the demographics of people infected with SARS-CoV-2 changed in Quebec over the course of the first COVID-19 pandemic wave, and affected those living in residential care facilities (RCFs) disproportionately. We evaluated the association between clinical characteristics and outcomes of hospitalized patients with COVID-19, comparing those did or did not live in RCFs. METHODS: We conducted a retrospective case series of all consecutive adults (≥ 18 yr) admitted to the Jewish General Hospital in Montréal with laboratory-confirmed SARS-CoV-2 infection from Mar. 4 to June 30, 2020, with in-hospital follow-up until Aug. 6, 2020. We collected patient demographics, comorbidities and outcomes (i.e., admission to the intensive care unit, mechanical ventilation and death) from medical and laboratory records and compared patients who did or did not live in public and private RCFs. We evaluated factors associated with the risk of in-hospital death with a Cox proportional hazard model. RESULTS: In total, 656 patients were hospitalized between March and June 2020, including 303 patients who lived in RCFs and 353 patients who did not. The mean age was 72.9 (standard deviation 18.3) years (range 21 to 106 yr); 349 (53.2%) were female and 118 (18.0%) were admitted to the intensive care unit. The overall mortality rate was 23.8% (156/656), but was higher among patients living in RCFs (36.6% [111/303]) compared with those not living in RCFs (12.7% [45/353]). Increased risk of death was associated with age 80 years and older (hazard ratio [HR] 2.39, 95% confidence interval [CI] 1.35-4.24), male sex (HR 1.74, 95% CI 1.25-2.41), the presence of 4 or more comorbidities (HR 2.01, 95% CI 1.18-3.42) and living in an RCF (HR 1.62, 95% CI 1.09-2.39). INTERPRETATION: During the first wave of the COVID-19 epidemic in Montréal, more than one-third of RCF residents hospitalized with SARS-CoV-2 infection died during hospitalization. Policies and practices that prevent future outbreaks of SARS-CoV-2 infection in this setting must be implemented to prevent high mortality in this vulnerable population.

Adapting the Elder Abuse Suspicion Index© for Use in Long-Term Care: A Mixed-Methods Approach.

Currently available elder abuse screening and identification tools have limitations for use in long-term care (LTC). This mixed-methods study sought to explore the appropriateness of using the Elder Abuse Suspicion Index© (a suspicion tool originally created for use with older adults in the ambulatory setting with Mini-Mental State Examination scores ≥ 24) with similarly cognitively functioning persons residing in LTC. Results were informed by a literature review, Internet-based consultations with elder abuse experts across Canada (n = 19), and data obtained from two purposively selected focus groups (n = 7 local elder abuse experts; n = 7 experienced front-line LTC clinicians). Analyses resulted in the development of a nine-question tool, the EASI-ltc, designed to raise suspicion of EA in cognitively intact older adults residing in LTC (with little or no cognitive impairment). Notable modifications to the original Elder Abuse Suspicion Index© (EASI) included three new questions to further address neglect and psychological abuse, and a context-specific preamble to orient responders.

Diagnostic accuracy of the Geriatric Depression Scale-30, Geriatric Depression Scale-15, Geriatric Depression Scale-5 and Geriatric Depression Scale-4 for detecting major depression: protocol for a systematic review and individual participant data meta-analysis.

INTRODUCTION: The 30-item Geriatric Depression Scale (GDS-30) and the shorter GDS-15, GDS-5 and GDS-4 are recommended as depression screening tools for elderly individuals. Existing meta-analyses on the diagnostic accuracy of the GDS have not been able to conduct subgroup analyses, have included patients already identified as depressed who would not be screened in practice and have not accounted for possible bias due to selective reporting of results from only better-performing cut-offs in primary studies. Individual participant data meta-analysis (IPDMA), which involves a standard systematic review, then a synthesis of individual participant data, rather than summary results, could address these limitations. The objective of our IPDMA is to generate accuracy estimates to detect major depression for all possible cut-offs of each version of the GDS among studies using different reference standards, separately and among participant subgroups based on age, sex, dementia diagnosis and care settings. In addition, we will use a modelling approach to generate individual participant probabilities for major depression based on GDS scores (rather than a dichotomous cut-off) and participant characteristics (eg, sex, age, dementia status, care setting). METHODS AND ANALYSIS: Individual participant data comparing GDS scores to a major depression diagnosis based on a validated structured or semistructured diagnostic interview will be sought via a systematic review. Data sources will include Medline, Medline In-Process & Other Non-Indexed Citations, PsycINFO and Web of Science. Bivariate random-effects models will be used to estimate diagnostic accuracy parameters for each cut-off of the different versions of the GDS. Prespecified subgroup analyses will be conducted. Risk of bias will be assessed with the Quality Assessment of Diagnostic Accuracy Studies-2 tool. ETHICS AND DISSEMINATION: The findings of this study will be of interest to stakeholders involved in research, clinical practice and policy. PROSPERO REGISTRATION NUMBER: CRD42018104329.

The OptimaMed intervention to reduce inappropriate medications in nursing home residents with severe dementia: results from a quasi-experimental feasibility pilot study.

BACKGROUND: Medication regimens in nursing home (NH) residents with severe dementia should be frequently reviewed to avoid inappropriate medication, overtreatment and adverse drug events, within a comfort care approach. This study aimed at testing the feasibility of an interdisciplinary knowledge exchange (KE) intervention using a medication review guidance tool categorizing medications as either "generally", "sometimes" or "exceptionally" appropriate for NH residents with severe dementia. METHODS: A quasi-experimental feasibility pilot study with 44 participating residents aged 65 years or over with severe dementia was carried out in three NH in Quebec City, Canada. The intervention comprised an information leaflet for residents' families, a 90-min KE session for NH general practitioners (GP), pharmacists and nurses focusing on the medication review guidance tool, a medication review by the pharmacists for participating residents with ensuing team discussion on medication changes, and a post-intervention KE session to obtain feedback from team staff. Medication regimens and levels of pain and of agitation of the participants were evaluated at baseline and at 4 months post-intervention. A questionnaire for team staff explored perceived barriers and facilitators. Statistical differences in measures comparing pre and post-intervention were assessed using paired t-tests and Cochran's-Q tests. RESULTS: The KE sessions reached 34 NH team staff (5 GP, 4 pharmacists, 6 heads of care unit and 19 staff nurses). Forty-four residents participated in the study and were followed for a mean of 104 days. The total number of regular medications was 372 pre and 327 post-intervention. The mean number of regular medications per resident was 7.86 pre and 6.81 post-intervention. The odds ratios estimating the risks of using any regular medication or a "sometimes appropriate" medication post-intervention were 0.81 (95% CI: 0.71-0.92) and 0.83 (95% CI: 0.74-0.94), respectively. CONCLUSION: A simple KE intervention using a medication review guidance tool categorizing medications as being either "generally", "sometimes" or "exceptionally" appropriate in severe dementia was well received and accompanied by an overall reduction in medication use by NH residents with severe dementia. Levels of agitation were unaffected and there was no clinically significant changes in levels of pain. Staff feedback provided opportunities to improve the intervention.

Performance of the French version of the 4AT for screening the elderly for delirium in the emergency department.

OBJECTIVES: Delirium is very frequent in older patients presenting to the emergency department (ED), but is often undetected. The purpose of this study was to evaluate the performance of the French version of the 4 A's Test (4AT-F) for the detection of delirium and cognitive impairment in older patients. METHODS: The study was conducted in four Canadian ED. Participants (n= 320) were independent or semi-independent patients (able to perform ≥5 activities of daily living) aged 65 and older and had an 8-hour exposure to the ED environment. The Telephone Interview for Cognitive Status (TICS-m), the Confusion Assessment Method (CAM) as well as the 4AT-F were administered to patients at the initial interview. The CAM and 4AT-F were then administered twice a day during the patients' ED or hospital stay. The 4AT-F's sensitivity and specificity were compared to those of the CAM (for delirium), and to that of the TICS (for cognitive impairment). RESULTS: Our results suggest that the 4AT-F has a sensitivity of 84% (95% CI: [76, 93]) and a specificity of 74% (95% CI: [70, 78]) for delirium, as well as a sensitivity of 49% (95% CI: [34, 64]) and a specificity of 87% (95% CI: [82, 92]) for cognitive impairment. CONCLUSION: The 4AT-F is a fast and reliable screening tool for delirium and cognitive impairment in ED. Due to its quick administration time, it allows a systematic screening of patients at risk of delirium, without significantly increasing the workload of the ED staff.

Effect of Cesarean Delivery on Long-term Risk of Small Bowel Obstruction.

OBJECTIVE: To evaluate the association of cesarean deliveries on the incidence of small bowel obstruction. METHODS: We formed a population-based cohort of all women with a first live birth between 1998 and 2007 using the U.K. Clinical Practice Research Datalink. Women were followed until 2015, the occurrence of a small bowel obstruction, or loss to follow-up. Cesarean delivery was identified from the Hospital Episode Statistics and small bowel obstruction events were identified using the Classification of Interventions and Procedures and International Classification of Diseases, 10th Revision codes. Cox proportional hazard models, with cesarean delivery defined as a time-dependent exposure, estimated the adjusted hazard ratios and 95% CIs of small bowel obstruction associated with cesarean delivery. RESULTS: The cohort included 81,480 women with a median follow-up of 8.0 years (range 6 months to 16.6 years), during which 575 new small bowel obstructions occurred (incidence 9.1/10,000 person-years). Risk of small bowel obstruction was higher among women with a cesarean delivery compared with women without (16.3 vs 6.4 patients/10,000 person-years, odds ratio [OR] 2.54, 95% CI 2.15-3.00). Increasing number of cesarean deliveries was associated with an increasing risk of small bowel obstruction (OR 1.61, 95% CI 1.46-1.78, per additional cesarean delivery). Repeated small bowel obstructions were more common among women with a cesarean delivery and the association remained when restricting to small bowel obstruction requiring surgical management. CONCLUSION: Although rare, small bowel obstructions are increased among women who have undergone a cesarean delivery. With increasing rates of cesarean deliveries worldwide, small bowel obstructions and related morbidities may become a more prevalent women's health concern.

Factors affecting nursing staff use of a communication tool to reduce potentially preventable acute care transfers in long-term care.

Although specialized communication tools can effectively reduce acute care transfers, few studies have assessed the factors that may influence the use of such tools by nursing staff at the individual level. We evaluated the associations between years of experience, tool-related training, nursing attitudes, and intensity of use of a communication tool developed to reduce transfers in a long-term care facility. We employed a mixed methods design using data from medical charts, electronic records, and semi-structured interviews. Experienced nurses used the tool significantly less than inexperienced nurses, and training had a significant positive impact on tool use. Nurses found the purpose of the tool to be confusing. No significant differences in attitude were observed based on years of experience or intensity of use. Project findings indicate that focused efforts to enrich training may increase intervention adherence. Experienced nurses in particular should be made aware of the benefits of utilizing communication tools.

Use of medications that antagonize mediators of inflammatory responses may reduce the risk of delirium in older adults: a nested case-control study.

OBJECTIVE: The objective of this study is to explore whether the use of medications that antagonize mediators of inflammatory responses reduces the risk of delirium in older adults. METHODS: A nested case-control study was conducted using data from a prospective study of delirium in older long-term care residents from 7 long-term care facilities in Montreal and Quebec City, Canada. The Confusion Assessment Method was used to diagnose incident delirium. The use of medications that antagonize mediators of inflammatory responses was determined by examining facility pharmacy databases and coding medications received daily by each resident. Risk sets were built using incidence density sampling: each risk set consisted of a case with incident delirium and all controls without incident delirium at the same date and facility. Conditional logistic regression was used to assess the association of exposure to inflammation antagonist medications with the incidence of delirium. RESULTS: Of 254 residents, 95 developed incident delirium during 24 weeks (cases); each case was matched with up to 35 controls. Unadjusted and adjusted odds ratios (95% CI) of delirium for residents exposed to at least one inflammation antagonist medication were 0.53 (0.34, 0.81) and 0.60 (0.38, 0.92), respectively. Estimates of the risk of incident delirium associated with specific medications and medication classes were mostly protective but not statistically significant. CONCLUSION: The use of medications that antagonize mediators of inflammatory responses may reduce the risk of delirium in older adults. Despite study limitations, the findings merit further investigation using larger patient samples, more precise measures of exposure and better control of potential confounding variables. Copyright © 2016 John Wiley & Sons, Ltd.

Adverse Drug Reactions Reported With Cholinesterase Inhibitors: An Analysis of 16 Years of Individual Case Safety Reports From VigiBase.

BACKGROUND: No worldwide pharmacovigilance study evaluating the spectrum of adverse drug reactions (ADRs) induced by cholinesterase inhibitors (ChEI) in Alzheimer's disease has been conducted since their emergence on the market. OBJECTIVE: To describe ChEI related ADRs in Alzheimer's disease (donepezil, rivastigmine, and galantamine) and characterize their seriousness as reported by national pharmacovigilance systems to VigiBase, a World Health Organization International Drug Monitoring Program database, between 1998 and 2013. METHODS: All ChEI RELATED REPORTS: , submitted to VigiBase between 1998 and 2013 from THE FIVE CONTINENTS: were extracted. Analyses were carried out for general, serious, and nonserious ADRs. RESULTS: A total of 18 955 reports (43 753 ADRs) FROM 58 COUNTRIES: were reported: 60.1% in women; mean age 77.4 ± 9.1 years. Most reports originated from Europe (47.6%) and North America (40.4%). Rivastigmine and donepezil were involved in MOST: reports (41.4% each). The most frequently reported ADRs were neuropsychiatric (31.4%), gastrointestinal (15.9%), general (11.9%), and cardiovascular (11.7%) disorders. During the 2006-2013 period, serious ADRs remained more often reported than nonserious ones; the most serious were neuropsychiatric (34.0%), general (14.0%), cardiovascular (12.1%), and gastrointestinal (11.6%) disorders. Medication errors were reported in 2.0% of serious cases. Death occurred in 2.3% of the reports. CONCLUSIONS: This international pharmacovigilance study highlights the ADR pattern induced by ChEIs. Neuropsychiatric events were the most frequently reported ADRs. Serious cardiovascular events were frequently reported, suggesting that their significance has probably been previously underestimated. Given the frailty of the patients and the frequent comedications, caution is advised before introducing a ChEI.

Medication Use Among Nursing Home Residents With Severe Dementia: Identifying Categories of Appropriateness and Elements of a Successful Intervention.

BACKGROUND: Seniors with severe dementia residing in nursing homes (NHs) frequently receive large numbers of medications. With disease progression, the medications' harm-benefit ratio changes and they need to be reviewed, adjusted, or discontinued. Evidence on successful interventions to optimize medication use among these residents is lacking. OBJECTIVES: The objective of the study was to identify categories of appropriateness for medications as well as successful interventions or elements thereof to improve medication use in NH residents with severe dementia, suitable for use in Canada. METHODS: A scoping literature review was performed to identify criteria and categories of appropriateness of medications for these residents as well as elements of successful interventions to optimize medication use. A 15-member multidisciplinary Delphi panel was convened to evaluate the applicability of these findings for NHs in a Canadian province. RESULTS: The scoping review identified 1 study presenting categories of appropriateness specific to residents with severe dementia and 35 interventions aimed at reducing drug-drug interactions, inappropriate use of specific drug classes, inappropriate drug use overall, or polypharmacy. Regarding appropriateness, the Delphi panel agreed on the categorization of 63 medications or medication classes as "generally," "sometimes," or "rarely appropriate." The main elements of interventions successful in improving appropriate medication use in NH residents with dementia also were approved by the Delphi panel (ie, medication reviews using criteria of appropriateness, educational and training sessions, and interdisciplinary case conferences). CONCLUSIONS: These results may be used to develop an intervention to optimize medication use in NH residents with severe dementia.