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Wilchesky M, Ballard SA, Voyer P, McCusker J, Lungu O, Champoux N, Vu TTM, Cole MG, Monette J, Ciampi A, Belzile E, Carmichael PH, McConnell T. The PREvention Program for Alzheimer's RElated Delirium (PREPARED) cluster randomized trial: a study protocol. BMC Geriatr 2021; 21:645. [PMID: 34784897 PMCID: PMC8594158 DOI: 10.1186/s12877-021-02558-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 10/15/2021] [Indexed: 12/19/2022] Open
Abstract
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 .
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Affiliation(s)
- Machelle Wilchesky
- Centre for Research in Aging, Donald Berman Maimonides Geriatric Centre, 5795 Ave Caldwell, Montreal, QC, H4W 1W3, Canada.
- Department of Family Medicine, McGill University, 5858 Côte-des-Neiges Road, Montreal, QC, H3S 1Z1, Canada.
- Division of Geriatric Medicine, McGill University, Jewish General Hospital, 3755 Cote St. Catherine Road, Room E-0012, Montreal, QC, H3T 1E2, Canada.
- Centre for Clinical Epidemiology, Lady Davis Institute, Jewish General Hospital, 3755 Cote St. Catherine Road, Montreal, QC, H3T 1E2, Canada.
| | - Stephanie A Ballard
- Centre for Research in Aging, Donald Berman Maimonides Geriatric Centre, 5795 Ave Caldwell, Montreal, QC, H4W 1W3, Canada
- Department of Family Medicine, McGill University, 5858 Côte-des-Neiges Road, Montreal, QC, H3S 1Z1, Canada
| | - Philippe Voyer
- Faculty of Nursing Sciences, Laval University, Pavillon Ferdinand-Vandry, 1050 avenue de la Médecine, local 3645, Québec, QC, G1V 0A6, Canada
- Centre d'excellence sur le vieillissement de Québec, Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, 1050 chemin Sainte-Foy, L2-30, Quebec City, QC, G1S 4L8, Canada
| | - Jane McCusker
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, 1020 Pine Ave W, Montreal, QC, H3A 1A2, Canada
- St. Mary's Research Centre, 3830 Avenue Lacombe, Hayes Pavilion, suite 4720, Montreal, QC, H3T 1M5, Canada
| | - Ovidiu Lungu
- Centre for Research in Aging, Donald Berman Maimonides Geriatric Centre, 5795 Ave Caldwell, Montreal, QC, H4W 1W3, Canada
- Functional Neuroimaging Unit, Centre de recherche de l'Institut universitaire de gériatrie de Montréal, 4565 Queen Mary Rd, Montreal, QC, H3W 1W5, Canada
- Department of Psychiatry, Université de Montréal, Pavillon Roger-Gaudry, Faculté de Medicine, C.P. 6128, succursale Centre-ville, Montreal, QC, H3C 3J7, Canada
| | - Nathalie Champoux
- Faculty of Medicine, Université de Montréal, 2900 Boulevard Edouard-Montpetit, Montreal, QC, H3T 1J4, Canada
| | - T T Minh Vu
- Centre de recherche du CHUM, 91000, rue Saint-Denis, Montréal, QC, H2X 0A9, Canada
| | - Martin G Cole
- Department of Psychiatry, McGill University, Ludmer Research & Training Building, 1033 Pine Avenue West, Montreal, QC, H3A 1A, Canada
| | - Johanne Monette
- Division of Geriatric Medicine, McGill University, Jewish General Hospital, 3755 Cote St. Catherine Road, Room E-0012, Montreal, QC, H3T 1E2, Canada
| | - Antonio Ciampi
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, 1020 Pine Ave W, Montreal, QC, H3A 1A2, Canada
- St. Mary's Research Centre, 3830 Avenue Lacombe, Hayes Pavilion, suite 4720, Montreal, QC, H3T 1M5, Canada
| | - Eric Belzile
- St. Mary's Research Centre, 3830 Avenue Lacombe, Hayes Pavilion, suite 4720, Montreal, QC, H3T 1M5, Canada
| | - Pierre-Hugues Carmichael
- Centre d'excellence sur le vieillissement de Québec, Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, 1050 chemin Sainte-Foy, L2-30, Quebec City, QC, G1S 4L8, Canada
| | - Ted McConnell
- Division of General Internal Medicine, McGill University, 1001 Decarie Boulevard, Montreal, QC, H4A 3J1, Canada
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Recognizing acute delirium as part of your routine [RADAR]: a validation study. BMC Nurs 2015; 14:19. [PMID: 25844067 PMCID: PMC4384313 DOI: 10.1186/s12912-015-0070-1] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2014] [Accepted: 03/18/2015] [Indexed: 11/15/2022] Open
Abstract
Background Although detection of delirium using the current tools is excellent in research settings, in routine clinical practice, this is not the case. Together with nursing staff, we developed a screening tool (RADAR) to address certain limitations of existing tools, notably administration time, ease-of-use and generalizability. The purpose of this study was not only to evaluate the validity and reliability of RADAR but also to gauge its acceptability among the nursing staff in two different clinical settings. Methods This was a validation study conducted on three units of an acute care hospital (medical, cardiology and coronary care) and five units of a long-term care facility. A total of 142 patients and 51 residents aged 65 and over, with or without dementia, participated in the study and 139 nurses were recruited and trained to use the RADAR tool. Data on each patient/resident was collected over a 12-hour period. The nursing staff and researchers administered RADAR during the scheduled distribution of medication. Researchers used the Confusion Assessment Method to determine the presence of delirium symptoms. Delirium itself was defined as meeting the criteria for DMS-IV-TR delirium. Inter-rater reliability, convergent, and concurrent validity of RADAR were assessed. At study end, 103 (74%) members of the nursing staff completed the RADAR feasibility and acceptability questionnaire. Results Percentages of agreement between RADAR items that bedside nurses administered and those research assistants administered varied from 82% to 98%. When compared with DSM-IV-TR criterion-defined delirium, RADAR had a sensitivity of 73% and a specificity of 67%. Participating nursing staff took about seven seconds on average, to complete the tool and it was very well received (≥98%) overall. Conclusions The RADAR tool proved to be efficient, reliable, sensitive and very well accepted by nursing staff. Consequently, it becomes an appropriate new option for delirium screening among older adults, with or without cognitive impairment, in both hospitals and nursing homes. Further projects are currently underway to validate the RADAR among middle-aged adults, as well as in newer clinical settings; home care, emergency department, medical intensive care unit, and palliative care. Electronic supplementary material The online version of this article (doi:10.1186/s12912-015-0070-1) contains supplementary material, which is available to authorized users.
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Abstract
BACKGROUND Detection of long-term care (LTC) residents at risk of delirium may lead to prevention of this disorder. The primary objective of this study was to determine if the presence of one or more Confusion Assessment Method (CAM) core symptoms of delirium at baseline assessment predicts incident delirium. Secondary objectives were to determine if the number or the type of symptoms predict incident delirium. METHODS The study was a secondary analysis of data collected for a prospective study of delirium among older residents of seven LTC facilities in Montreal and Quebec City, Canada. The Mini-Mental State Exam (MMSE), CAM, Delirium Index (DI), Hierarchic Dementia Scale, Barthel Index, and Cornell Scale for Depression were completed at baseline. The MMSE, CAM, and DI were repeated weekly for six months. Multivariate Cox regression models were used to determine if baseline symptoms predict incident delirium. RESULTS Of 273 residents, 40 (14.7%) developed incident delirium. Mean (SD) time to onset of delirium was 10.8 (7.4) weeks. When one or more CAM core symptoms were present at baseline, the Hazard Ratio (HR) for incident delirium was 3.5 (95% CI = 1.4, 8.9). The HRs for number of symptoms present ranged from 2.9 (95% CI = 1.0, 8.3) for one symptom to 3.8 (95% CI = 1.3, 11.0) for three symptoms. The HR for one type of symptom, fluctuation, was 2.2 (95% CI = 1.2, 4.2). CONCLUSION The presence of CAM core symptoms at baseline assessment predicts incident delirium in older LTC residents. These findings have potentially important implications for clinical practice and research in LTC settings.
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McCusker J, Cole MG, Voyer P, Vu M, Ciampi A, Monette J, Champoux N, Belzile E, Dyachenko A. Environmental factors predict the severity of delirium symptoms in long-term care residents with and without delirium. J Am Geriatr Soc 2013; 61:502-11. [PMID: 23581909 DOI: 10.1111/jgs.12164] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVES To identify potentially modifiable environmental factors (including number of medications) associated with changes over time in the severity of delirium symptoms and to explore the interactions between these factors and resident baseline vulnerability. DESIGN Prospective, observational cohort study. SETTING Seven long-term care (LTC) facilities. PARTICIPANTS Two hundred seventy-two LTC residents aged 65 and older with and without delirium. MEASUREMENTS Weekly assessments (for up to 6 months) of the severity of delirium symptoms using the Delirium Index (DI), environmental risk factors, and number of medications. Baseline vulnerability measures included a diagnosis of dementia and a delirium risk score. Associations between environmental factors, medications, and weekly changes in DI were analyzed using a general linear model with correlated errors. RESULTS Six potentially modifiable environmental factors predicted weekly changes in DI (absence of reading glasses, aids to orientation, family member, and glass of water and presence of bed rails and other restraints) as did the prescription of two or more new medications. Residents with dementia appeared to be more sensitive to the effects of these factors. CONCLUSION Six environmental factors and prescription of two or more new medications predicted changes in the severity of delirium symptoms. These risk factors are potentially modifiable through improved LTC clinical practices.
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Affiliation(s)
- Jane McCusker
- St. Mary's Research Centre, St. Mary's Hospital, Montreal, Quebec, Canada.
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