8 research outputs found

    Clinicians\u27 delirium treatment practice, practice change, and influences: A national online survey

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    Background: Recent studies cast doubt on the net effect of antipsychotics for delirium. Aim: To investigate the influence of these studies and other factors on clinicians’ delirium treatment practice and practice change in palliative care and other specialties using the Theoretical Domains Framework. Design: Australia-wide online survey of relevant clinicians. Setting/participants: Registered nurses (72%), doctors (16%), nurse practitioners (6%) and pharmacists (5%) who cared for patients with delirium in diverse settings, recruited through health professionals’ organisations. Results: Most of the sample (n=475): worked in geriatrics/aged (31%) or palliative care (30%); in hospitals (64%); and saw a new patient with delirium at least weekly (61%). More (59%) reported delirium practice change since 2016, mostly by increased non-pharmacological interventions (53%). Fifty-five percent reported current antipsychotic use for delirium, primarily for patient distress (79%) and unsafe behaviour (67%). Common Theoretical Domains Framework categories of influences on respondents’ delirium practice were: emotion (54%); knowledge (53%) and physical (43%) and social (21%) opportunities. Palliative care respondents more often reported: awareness of any named key study of antipsychotics for delirium (73% vs 39%, p\u3c0.001); decreased pharmacological interventions (60% vs 15%, p\u3c0.001); off-label medication use (86% vs 51%, p\u3c0.001); antipsychotics 79% vs 44%, p\u3c0.001); benzodiazepines 61% vs 26%, p\u3c0.001); and emotion as an influence (82% vs 39%, p\u3c0.001). Conclusion: Clinicians’ use of antipsychotic during delirium remains common and is primarily motivated by distress and safety concerns for the patient and others nearby. Supporting clinicians to achieve evidence-based delirium practice requires further work

    The BĂ©zier surface with

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    The BĂ©zier surface with Cr continuity on each common boundary between two composite triangular BĂ©zier patches is generated. The directional derivatives on the Bernstein polynomials are discussed. This is to ensure that the Cr continuity is maintained along the boundary between the piecewise polynomials. The composite patches are then generated by elevating the degree of the BĂ©zier triangles

    Treatment patterns and out-of-hospital healthcare resource utilisation by patients with advanced cancer living with pain: An analysis from the Stop Cancer PAIN trial.

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    BackgroundAbout 70% of patients with advanced cancer experience pain. Few studies have investigated the use of healthcare in this population and the relationship between pain intensity and costs.MethodsAdults with advanced cancer and scored worst pain ≄ 2/10 on a numeric rating scale (NRS) were recruited from 6 Australian oncology/palliative care outpatient services to the Stop Cancer PAIN trial (08/15-06/19). Out-of-hospital, publicly funded services, prescriptions and costs were estimated for the three months before pain screening. Descriptive statistics summarize the clinico-demographic variables, health services and costs, treatments and pain scores. Relationships with costs were explored using Spearman correlations, Mann-Whitney U and Kruskal-Wallis tests, and a gamma log-link generalized linear model.ResultsOverall, 212 participants had median worst pain scores of five (inter-quartile range 4). The most frequently prescribed medications were opioids (60.1%) and peptic ulcer/gastro-oesophageal reflux disease (GORD) drugs (51.6%). The total average healthcare cost in the three months before the census date was A6,742(956,742 (95% CI 5,637, 7,847),approximately7,847), approximately 27,000 annually. Men had higher mean healthcare costs than women, adjusting for age, cancer type and pain levels (men 7,872,women7,872, women 4,493, pConclusionsIn this population with pain and cancer, there was no clear relationship between healthcare costs and pain severity. These treatment patterns requiring further exploration including the prevalence of peptic ulcer/GORD drugs, and lipid lowering agents and the higher healthcare costs for men.Trial registrationACTRN12615000064505. World Health Organisation unique trial number U1111-1164-4649. Registered 23 January 2015

    Inclusion, characteristics and outcomes of people requiring palliative care in studies of non-pharmacological interventions for delirium: A systematic review

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    © The Author(s) 2019. Background: Delirium is common, distressing, serious and under-researched in specialist palliative care settings. Objectives: To examine whether people requiring palliative care were included in non-pharmacological delirium intervention studies in inpatient settings, how they were characterised and what their outcomes were. Design: Systematic review (PROSPERO 2017 CRD42017062178). Data sources: Systematic search in March 2017 for non-pharmacological delirium intervention studies in adult inpatients. Database search terms were ‘delirium’, ‘hospitalisation’, ‘inpatient’, ‘palliative care’, ‘hospice’, ‘critical care’ and ‘geriatrics’. Scottish Intercollegiate Guidelines Network methodological checklists guided risk of bias assessment. Results: The 29 included studies were conducted between 1994 and 2015 in diverse settings in 15 countries (9136 participants, mean age = 76.5 years (SD = 8.1), 56% women). Most studies tested multicomponent interventions (n = 26) to prevent delirium (n = 19). Three-quarters of the 29 included studies (n = 22) excluded various groups of people requiring palliative care; however, inclusion criteria, participant diagnoses, illness severity and mortality indicated their presence in almost all studies (n = 26). Of these, 21 studies did not characterise participants requiring palliative care or report their specific outcomes (72%), four reported outcomes for older people with frailty, dementia, cancer and comorbidities, and one was explicitly focused on people receiving palliative care. Study heterogeneity and limitations precluded definitive determination of intervention effectiveness and only allowed interpretations of feasibility for people requiring palliative care. Acceptability outcomes (intervention adverse events and patients’ subjective experience) were rarely reported overall. Conclusion: Non-pharmacological delirium interventions have frequently excluded and under-characterised people requiring palliative care and infrequently reported their outcomes

    Clinicians’ delirium treatment practice, practice change, and influences: A national online survey

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    Background: Recent studies cast doubt on the net effect of antipsychotics for delirium. Aim: To investigate the influence of these studies and other factors on clinicians’ delirium treatment practice and practice change in palliative care and other specialties using the Theoretical Domains Framework. Design: Australia-wide online survey of relevant clinicians. Setting/participants: Registered nurses (72%), doctors (16%), nurse practitioners (6%) and pharmacists (5%) who cared for patients with delirium in diverse settings, recruited through health professionals’ organisations. Results: Most of the sample (n = 475): worked in geriatrics/aged (31%) or palliative care (30%); in hospitals (64%); and saw a new patient with delirium at least weekly (61%). More (59%) reported delirium practice change since 2016, mostly by increased non-pharmacological interventions (53%). Fifty-five percent reported current antipsychotic use for delirium, primarily for patient distress (79%) and unsafe behaviour (67%). Common Theoretical Domains Framework categories of influences on respondents’ delirium practice were: emotion (54%); knowledge (53%) and physical (43%) and social (21%) opportunities. Palliative care respondents more often reported: awareness of any named key study of antipsychotics for delirium (73% vs 39%, p < 0.001); changed delirium treatment (73% vs 53%, p = 0.017); decreased pharmacological interventions (60% vs 15%, p < 0.001); off-label medication use (86% vs 51%, p < 0.001: antipsychotics 79% vs 44%, p < 0.001; benzodiazepines 61% vs 26%, p < 0.001) and emotion as an influence (82% vs 39%, p < 0.001). Conclusion: Clinicians’ use of antipsychotic during delirium remains common and is primarily motivated by distress and safety concerns for the patient and others nearby. Supporting clinicians to achieve evidence-based delirium practice requires further work.</p

    Effect of cancer pain guideline implementation on pain outcomes among adult outpatients with cancer-related plain: A Stepped Wedge Cluster randomized trial

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    Importance An evidence-practice gap exists for cancer pain management, and cancer pain remains prevalent and disabling. Objectives To evaluate the capacity of 3 cancer pain guideline implementation strategies to improve pain-related outcomes for patients attending oncology and palliative care outpatient services. Design, Setting, and Participants A pragmatic, stepped wedge, cluster-randomized, nonblinded, clinical trial was conducted between 2014 and 2019. The clusters were cancer centers in Australia providing oncology and palliative care outpatient clinics. Participants included a consecutive cohort of adult outpatients with advanced cancer and a worst pain severity score of 2 or more out of 10 on a numeric rating scale (NRS). Data were collected between August 2015 and May 2019. Data were analyzed July to October 2019 and reanalyzed November to December 2021. Interventions Guideline implementation strategies at the cluster, health professional, and patient levels introduced with the support of a clinical champion. Main Outcomes and Measures The primary measure of effect was the percentage of participants initially screened as having moderate to severe worst pain (NRS ≄ 5) who experienced a clinically important improvement of 30% or more 1 week later. Secondary outcomes included mean average pain, patient empowerment, fidelity to the intervention, and quality of life and were measured in all participants with a pain score of 2 or more 10 at weeks 1, 2, and 4. Results Of 8099 patients screened at 6 clusters, 1564 were eligible, and 359 were recruited during the control phase (mean [SD] age, 64.2 [12.1] years; 196 men [55%]) and 329 during the intervention phase (mean [SD] age, 63.6 [12.7] years; 155 men [47%]), with no significant differences between phases on baseline measures. The mean (SD) baseline worst pain scores were 5.0 (2.6) and 4.9 (2.6) for control and intervention phases, respectively. The mean (SD) baseline average pain scores were 3.5 (2.1) for both groups. For the primary outcome, the proportions of participants with a 30% or greater reduction in a pain score of 5 or more of 10 at baseline were similar in the control and intervention phases (31 of 280 participants [11.9%] vs 30 of 264 participants [11.8%]; OR, 1.12; 95% CI, 0.79-1.60; P = .51). No significant differences were found in secondary outcomes between phases. Fidelity to the intervention was low. Conclusions and Relevance A suite of implementation strategies was insufficient to improve pain-related outcomes for outpatients with cancer-related pain. Further evaluation is needed to determine the required clinical resources needed to enable wide-scale uptake of the fundamental elements of cancer pain care. Ongoing quality improvement activities should be supported to improve sustainability

    A Multicomponent Nonpharmacological Intervention to Prevent Delirium for Hospitalized People with Advanced Cancer:A Phase II Cluster Randomized Waitlist Controlled Trial (The PRESERVE Pilot Study)

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    Background: Delirium is a common debilitating complication of advanced cancer. Objective: To determine if a multicomponent nonpharmacological delirium prevention intervention was feasible for adult patients with advanced cancer, before a phase III (efficacy) trial. Design: Phase II (feasibility) cluster randomized controlled trial. All sites implemented delirium screening and diagnostic assessment. Strategies within sleep, vision and hearing, hydration, orientation, mobility, and family domains were delivered to enrolled patients at intervention site admission days 1-7. Control sites then implemented the intervention ("waitlist sites"). Setting: Four Australian palliative care units. Measurements: The primary outcome was adherence, with an a priori endpoint of at least 60% patients achieving full adherence. Secondary outcomes were interdisciplinary care delivery, delirium measures, and adverse events, analyzed descriptively and inferentially. Results: Sixty-five enrolled patients (25 control, 20 intervention, and 20 waitlist) had 98% delirium screens and 75% diagnostic assessments completed. Nurses (67%), physicians (16%), allied health (8.4%), family (7%), patients (1%), and volunteers (0.5%) delivered the intervention. There was full adherence for 5% patients at intervention sites, partial for 25%. Both full and partial adherence were higher at waitlist sites: 25% and 45%, respectively. One-third of control site patients (32%) became delirious within seven days of admission compared to one-fifth (20%) at both intervention and waitlist sites (p = 0.5). Mean (standard deviation) Delirium Rating Scale-Revised-1998 scores were 16.8 + 12.0 control sites versus 18.4 + 8.2 (p = 0.6) intervention and 18.7 + 7.8 (p = 0.5) waitlist sites. The intervention caused no adverse events. Conclusion: The intervention requires modification for optimal adherence in a phase III trial.</p
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