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2.
J Emerg Nurs ; 49(6): 912-950, 2023 Nov.
Article in English | MEDLINE | ID: mdl-37737785

ABSTRACT

INTRODUCTION: Cardiac arrest care systems are being designed and implemented to address patients', family members', and survivors' care needs. We conducted a systematic review and a meta-synthesis to understand family experiences and care needs during cardiac arrest care to create treatment recommendations. METHODS: We searched eight electronic databases to identify articles. Study findings were extracted, coded and synthesized. Confidence in the quality, coherence, relevance, and adequacy of data underpinning the resulting findings was assessed using GRADE-CERQual methods. RESULTS: In total 4181 studies were screened, and 39 met our inclusion criteria; these studies enrolled 215 survivors and 418 family participants-which includes both co-survivors and bereaved family members. From these studies findings and participant data we identified 5 major analytical themes: (1) When the crisis begins we must respond; (2) Anguish from uncertainty, we need to understand; (3) Partnering in care, we have much to offer; (4) The crisis surrounding the victim, ignore us, the family, no longer; (5) Our family's emergency is not over, now is when we need help the most. Confidence in the evidence statements are provided along with our review findings. DISCUSSION: The family experience of cardiac arrest care is often chaotic, distressing, complex and the aftereffects are long-lasting. Patient and family experiences could be improved for many people. High certainty family care needs identified in this review include rapid recognition and response, improved information sharing, more effective communication, supported presence and participation, or supported absence, and psychological aftercare.


Subject(s)
Heart Arrest , Humans , Death, Sudden, Cardiac , Family , Survivors , Qualitative Research
3.
Ann Intensive Care ; 13(1): 37, 2023 May 03.
Article in English | MEDLINE | ID: mdl-37133796

ABSTRACT

BACKGROUND: This large-scale analysis pools individual data about the Clinical Frailty Scale (CFS) to predict outcome in the intensive care unit (ICU). METHODS: A systematic search identified all clinical trials that used the CFS in the ICU (PubMed searched until 24th June 2020). All patients who were electively admitted were excluded. The primary outcome was ICU mortality. Regression models were estimated on the complete data set, and for missing data, multiple imputations were utilised. Cox models were adjusted for age, sex, and illness acuity score (SOFA, SAPS II or APACHE II). RESULTS: 12 studies from 30 countries with anonymised individualised patient data were included (n = 23,989 patients). In the univariate analysis for all patients, being frail (CFS ≥ 5) was associated with an increased risk of ICU mortality, but not after adjustment. In older patients (≥ 65 years) there was an independent association with ICU mortality both in the complete case analysis (HR 1.34 (95% CI 1.25-1.44), p < 0.0001) and in the multiple imputation analysis (HR 1.35 (95% CI 1.26-1.45), p < 0.0001, adjusted for SOFA). In older patients, being vulnerable (CFS 4) alone did not significantly differ from being frail. After adjustment, a CFS of 4-5, 6, and ≥ 7 was associated with a significantly worse outcome compared to CFS of 1-3. CONCLUSIONS: Being frail is associated with a significantly increased risk for ICU mortality in older patients, while being vulnerable alone did not significantly differ. New Frailty categories might reflect its "continuum" better and predict ICU outcome more accurately. TRIAL REGISTRATION: Open Science Framework (OSF: https://osf.io/8buwk/ ).

4.
Int J Nurs Stud ; 143: 104496, 2023 Jul.
Article in English | MEDLINE | ID: mdl-37156080

ABSTRACT

BACKGROUND: The complex nature of leadership in nursing and healthcare requires a vast skill set. Leadership self-efficacy (LSE) has emerged as an important concept to support leadership development in the nursing literature. An analysis of LSE can clarify and inform strategies for leadership development among nurses. OBJECTIVE: To clarify the concept of LSE and understand how it relates to nurses' motivation and aspiration for formal leadership roles. METHOD: A concept analysis using Rodgers' evolutionary method identified attributes, antecedents, and consequences of LSE. Twenty-three articles published between 1993 and 2022 were analyzed following a Boolean search of four databases - Academic Search Complete, CINAHL, MEDLINE, and Scopus. RESULTS: LSE is an important element of nurses' aspiration to leadership. Leadership training, individual traits, and organizational support affect levels of LSE. When LSE is increased, job performance and nurses' motivation to take on formal leadership increase. CONCLUSION: The concept analysis further expands knowledge about factors that affect LSE. It provides data on how LSE can be harnessed to support leadership development and career aspiration for nurses. Developing and nurturing LSE among nurses may be key in promoting leadership career aspirations. Nurse leaders in practice, research, and academia can use this knowledge as a guide in leadership program development.


Subject(s)
Leadership , Nurses , Humans , Self Efficacy , Motivation , Health Facilities
5.
Syst Rev ; 10(1): 83, 2021 03 26.
Article in English | MEDLINE | ID: mdl-33771224

ABSTRACT

BACKGROUND: Frailty is a known risk factor for an array of adverse outcomes including more frequent and prolonged health services use and high health care costs. Aging of the population has implications for care provision across the care continuum, particularly for people living with frailty. Despite known risks associated with frailty, there has been limited research on care pathways that address the needs of persons living with frailty. Our study aims to review and examine, in a rigorous way, the quality of evidence for multi-component interventions and care pathways focused on frailty. METHODS: A comprehensive electronic search strategy will be used to identify studies that evaluate multi-component interventions or care pathways for persons living with frailty. The search strategy will include terms for frailty, multi-component interventions, effectiveness, and cost effectiveness applied to the following databases: MEDLINE (OVID), EMBASE (OVID), CINAHL (EBSCO), Cochrane Central Register of Controlled Trials (CENTRAL), and Cochrane Database of Systematic Reviews. An adapted search for Google Scholar and gray literature databases will also be used. References of included studies will be hand-searched for additional citations of frailty-inclusive care. Known experts and corresponding authors of identified articles will be contacted by email to identify further eligible studies. Risk of bias will be assessed using the Effective Public Health Practice Project Quality Assessment tool. Data will be extracted from eligible studies and it is anticipated that narrative analysis will be used. If studies with sufficient homogeneity are found, then pooled effects will be reported using meta-analysis. DISCUSSION: This review will appraise the evidence currently available on multi-component frailty interventions. Results will inform on clinical pathway development for people living with frailty across the care continuum and will guide future research to address gaps in the literature and areas in need of further development. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42020166733.


Subject(s)
Frailty , Aging , Cost-Benefit Analysis , Frailty/therapy , Health Care Costs , Humans , Meta-Analysis as Topic , Systematic Reviews as Topic
6.
CJC Open ; 3(1): 54-61, 2021 Jan.
Article in English | MEDLINE | ID: mdl-33458633

ABSTRACT

BACKGROUND: There is limited information about the impact of frailty on public payer costs in cardiac surgery. This study aimed to determine quality-adjusted life-years (QALYs) and costs associated with preoperative frailty in patients referred for cardiac surgery. METHODS: We retrospectively compared costs of frailty in a cohort of 529 patients aged ≥ 50 years who were referred for nonemergent cardiac surgery in Alberta. Patients were screened preoperatively for frailty, defined as a score of 5 or greater on the Clinical Frailty Scale. The primary outcome measure was public payer costs attributable to frailty, calculated in a difference-in-difference (DID) model. RESULTS: The prevalence of frailty was 10% (n = 51; 95% confidence interval [CI], 7%-12%). Median (interquartile range) costs for frail patients were higher in the first year postsurgery ($200,709 [$146,177-$486,852] vs $147,730 [$100,674-$177,025]; P < 0.001) compared to nonfrail; the difference-in-difference attributable cost of frailty was $57,836 (95% CI, $-28,608-$144,280). At 1 year, frail patients had fewer QALYs realized compared to nonfrail patients (0.71 [0.57-0.77] vs 0.82 [0.75-0.86], P < 0.001), whereas QALYs gained were similar (0.02 [-0.02-0.05] vs 0.02 [0.00-0.04], P = 0.58, median difference 0.003 [95% CI, -0.01-0.02]) in frail and nonfrail patients. CONCLUSIONS: Frailty screening identified a population with greater impairment in quality-of-life and greater healthcare costs. Costs attributable to frailty represent opportunity costs that should be considered in future cardiac surgical services planning in the context of our aging population and the growing prevalence of frailty.


CONTEXTE: Il existe peu de renseignements concernant les répercussions de la fragilité sur les coûts pour les payeurs publics en chirurgie cardiaque. Cette étude visait à déterminer les années de vie pondérées par la qualité (QALY, pour Quality-Adjusted Life-Years) et les coûts associés à la fragilité préopératoire chez les patients dirigés vers un service de chirurgie cardiaque. MÉTHODOLOGIE: Nous avons comparé de façon rétrospective les coûts de la fragilité dans une cohorte de 529 patients âgés de 50 ans ou plus qui ont été dirigés vers un service de chirurgie cardiaque pour une intervention non urgente en Alberta. Un dépistage de la fragilité, définie comme un score de 5 ou plus à l'échelle CFS (Clinical Frailty Scale), a été effectué avant l'intervention. Le principal critère d'évaluation était le coût attribuable à la fragilité pour les payeurs publics, calculé selon un modèle d'écart des différences. RÉSULTATS: La prévalence de la fragilité a été de 10 % (n = 51; intervalle de confiance [IC] à 95 % : 7 à 12 %). Les coûts médians (écart interquartile) dans la première année suivant l'intervention chirurgicale ont été plus élevés chez les patients fragiles que chez les patients non fragiles (200 709 $ [146 177 $ à 486 852 $] contre 147 730 $ [100 674 $ à 177 025 $]; p < 0,001); le coût attribuable de la fragilité selon le modèle d'écart des différences a été de 57 836 $ (IC à 95 % : −28 608 $ à 144 280 $). À 1 an, les patients fragiles avaient moins de QALY réalisées que les patients non fragiles (0,71 [0,57 à 0,77] contre 0,82 [0,75 à 0,86]; p < 0,001), alors que le nombre de QALY gagnées était similaire (0,02 [−0,02 à 0,05] contre 0,02 [0,00 à 0,04]; p = 0,58; différence médiane : 0,003 [IC à 95 % : −0,01 à 0,02]) chez les patients fragiles et non fragiles. CONCLUSIONS: Le dépistage de la fragilité a permis de repérer une population associée à une perte plus importante de qualité de vie et à des coûts plus élevés en soins de santé. Les coûts attribuables à la fragilité représentent des coûts de renonciation qui doivent être considérés dans la planification future des services de chirurgie cardiaque, dans le contexte du vieillissement de notre population et de la prévalence croissante de fragilité.

7.
J Crit Care ; 60: 279-284, 2020 12.
Article in English | MEDLINE | ID: mdl-32942163

ABSTRACT

PURPOSE: To describe patients who die within 24 h of ICU admission in order to better optimize care delivery. METHODS: This was a retrospective cohort study of patients ≥18 years old admitted to 17 adult ICUs in Alberta, Canada from January 1, 2016 and June 30, 2017. Data were obtained from a provincial clinical information system and data repository. The primary outcome was incidence of ICU death within 24 h of admission. Secondary outcomes were patient and system factors associated with early death. Variables of interest were identified a priori and examined using multivariable logistic regression. RESULTS: Of 19,556 patients admitted to ICU in an 18-month period, 3.3% died within 24 h, representing 29.8% of ICU deaths. Factors associated with early death were age (adjusted-OR 0.99, 95% CI, 0.9-1.0), acuity (adjusted-OR 1.3, 95% CI, 1.3-1.4), admission from the Emergency Department (ED; adjusted-OR 1.5, 95% CI, 1.1-1.9) and surgical (adjusted-OR 2.27, 95% CI, 1.4-3.6), neurologic (adjusted-OR 4.6, 95% CI, 3.1-6.9) or trauma diagnosis (adjusted-OR 6.1, 95% CI, 2.4-15.6). CONCLUSION: Patients who die within 24 h constitute one third of ICU deaths. Age, acuity, admission from the ED and surgical, neurologic or trauma-related admission diagnosis correlate with early death.


Subject(s)
Emergency Service, Hospital , Hospital Mortality , Intensive Care Units , Patient Admission , Adult , Age Factors , Aged , Aged, 80 and over , Alberta , Critical Illness/mortality , Delivery of Health Care , Female , Frailty/mortality , Humans , Incidence , Logistic Models , Male , Middle Aged , Patient Acuity , Retrospective Studies , Young Adult
8.
Can J Anaesth ; 66(11): 1310-1319, 2019 Nov.
Article in English | MEDLINE | ID: mdl-31144259

ABSTRACT

PURPOSE: A substantial proportion of patients admitted to intensive care units (ICUs) are frail; however, the epidemiology of frailty has not been explored at a population-level. Following implementation of a validated frailty measure into a provincial ICU clinical information system, we describe the population-based prevalence and outcomes of frailty in patients admitted to ICUs. METHODS: Retrospective cohort study of adult admissions to 17 ICUs. Data were captured using eCritical Alberta. A Clinical Frailty Scale (CFS) score assigned at ICU admission was used to define the exposure (CFS score ≥ 5). Primary outcome was hospital mortality. Secondary outcomes were ICU and hospital stay, and receipt of organ support. RESULTS: Fifteen thousand two hundred and thirty-eight patients (81%) were assigned a CFS score at ICU admission. Of these, 28% (95% confidence interval [CI], 27 to 28) were frail. Prevalence of frailty was 9-43% across ICUs. Frail patients were older [mean (standard deviation) 63 (15) vs 56 (17) yr; P < 0.001], more likely to be male (54% vs 46% female; P < 0.001), and had higher APACHE II scores [22 (8) vs 17 (8); P < 0.001] compared with non-frail patients. Frail patients received less mechanical ventilation (62% vs 68%; P < 0.001) and vasoactive therapy (24% vs 57%; P < 0.001), but more non-invasive ventilation (22% vs 9%; P < 0.001). Frail patients had higher hospital mortality (23% vs 9%; adjusted odds ratio, 1.80; 95% CI, 1.64 to 2.05, along with longer ICU stay (median [interquartile range] 4 [2-8] vs 3 [2-6] days; P < 0.001), and longer hospital stay (16 [8-36] vs 10 [5-20] days; P < 0.001) compared with non-frail patients. CONCLUSION: A validated measure of frailty can be implemented at the population level in ICU. Frailty is common in ICU patients and has implications for health service use and clinical outcomes.


Subject(s)
Critical Care/methods , Frailty/epidemiology , Intensive Care Units/statistics & numerical data , Mass Screening/methods , Adult , Age Factors , Aged , Aged, 80 and over , Alberta , Cohort Studies , Female , Frailty/diagnosis , Hospital Mortality , Humans , Length of Stay , Male , Middle Aged , Prevalence , Retrospective Studies , Sex Factors
9.
Crit Care Clin ; 34(4): 527-547, 2018 Oct.
Article in English | MEDLINE | ID: mdl-30223992

ABSTRACT

Frailty is common, although infrequently screened for among patients admitted to intensive care. Frailty has been the focus of research in geriatric medicine; however, its epidemiology and interaction with critical illness have only recently been studied. Instruments to screen for and measure frailty require refinement in intensive care settings. Frail critically ill patients are at higher risk of poor outcomes. Frail survivors of critical illness are high users of health resources. Further research is needed to understand how frailty assessment can inform decision-making before and during an episode of critical illness and during an intensive care course for frail patients.


Subject(s)
Critical Illness/therapy , Frailty/complications , Frailty/therapy , Quality of Life , Cognitive Dysfunction/complications , Frailty/mortality , Frailty/psychology , Humans , Intensive Care Units , Mental Health , Patient Admission , Time Factors , Treatment Outcome
10.
Home Healthc Now ; 35(4): 196-201, 2017 Apr.
Article in English | MEDLINE | ID: mdl-28353509

ABSTRACT

Palliative and end-of-life patients in their homes are at risk of developing symptom crises requiring urgent care. The usual care for these patients involves transport to an Emergency Department (ED) despite the preference of most palliative patients to stay home. The objective of this initiative was to develop an innovative strategy to provide collaborative care in the home to alleviate symptoms and avoid transport. A partnership was created among Emergency Medical Services and Community Care staff, physicians, and leaders to enable patients to stay at home with existing resources during symptom crisis. As a result of the initiative, patients were able to stay at home more frequently. When patients required transport to the ED, it occurred after attempted symptom management in the home. A total of 110 calls were tracked in the first 18 months of the initiative. Of those, 61% ended with the patient staying home, in alignment with their preferred place of care at the end of life. A collaborative approach by care providers in the community enabled patients to stay home despite symptom crisis near the end of life.


Subject(s)
Home Care Services/organization & administration , Organizational Innovation , Palliative Care/organization & administration , Terminal Care/organization & administration , Aged , Aged, 80 and over , Alberta , Ambulatory Care/organization & administration , Caregivers/organization & administration , Cross-Sectional Studies , Delivery of Health Care/organization & administration , Female , Humans , Male , Middle Aged , Program Evaluation
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