Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Malcolm Evans is active.

Publication


Featured researches published by Malcolm Evans.


Journal of Clinical Neuroscience | 2003

A prospective study of predictors of prolonged hospital stay and disability after stroke.

Neil J. Spratt; Yang Wang; Christopher Levi; Karl Ng; Malcolm Evans; Janet Fisher

This study examined predictors of prolonged hospitalisation (>30 days) and significant disability (modified Rankin Scale >2) in 257 patients with acute ischaemic stroke. These patients were assessed prospectively regarding stroke severity, comorbidities and complications in hospital. Multivariate logistic regression was used to select variables that best predicted prolonged hospital stay and significant disability on discharge. Four factors significantly predicted prolonged hospital stay: older age (>65); diabetes mellitus; in-hospital infection; and significant disability on discharge. Significant disability on discharge was in turn associated with diabetes, infection, premorbid disability, stroke in progression and atrial fibrillation. Diabetes and in-hospital infection, together with other factors, can significantly predict prolonged hospital stay and disability in stroke patients. These two potentially modifiable factors are possible targets for interventions to reduce the burden of illness and healthcare costs of stroke.


International Journal of Stroke | 2014

Quality in Acute Stroke Care (QASC): process evaluation of an intervention to improve the management of fever, hyperglycemia, and swallowing dysfunction following acute stroke

Peta Drury; Christopher Levi; Catherine D'Este; Patrick McElduff; Elizabeth McInnes; Jennifer Hardy; Simeon Dale; N. Wah Cheung; Jeremy Grimshaw; Clare Quinn; Jeanette Ward; Malcolm Evans; Dominique A. Cadilhac; Rhonda Griffiths; Sandy Middleton

Background Our randomized controlled trial of a multifaceted evidence-based intervention for improving the inpatient management of fever, hyperglycemia, and swallowing dysfunction in the first three-days following stroke improved outcomes at 90 days by 15%. We designed a quantitative process evaluation to further explain and illuminate this finding. Methods Blinded retrospective medical record audits were undertaken for patients from 19 stroke units prior to and following the implementation of three multidisciplinary evidence-based protocols (supported by team-building workshops, and site-based education and support) for the management of fever (temperature ≥37·5°C), hyperglycemia (glucose >11 mmol/l), and swallowing dysfunction in intervention stroke units. Results Data from 1804 patients (718 preintervention; 1086 postintervention) showed that significantly more patients admitted to hospitals allocated to the intervention group received care according to the fever (n = 186 of 603, 31% vs. n = 74 of 483, 15%, P < 0·001), hyperglycemia (n = 22 of 603, 3·7% vs. n = 3 of 483,0·6%, P = 0·01), and swallowing dysfunction protocols (n = 241 of 603, 40% vs. n = 19 of 483, 4·0%, P ≤ 0·001). Significantly more patients in these intervention stroke units received four-hourly temperature monitoring (n = 222 of 603, 37% vs. n = 90 of 483, 19%, P < 0·001) and six-hourly glucose monitoring (194 of 603, 32% vs. 46 of 483, 9·5%, P < 0·001) within 72 hours of admission to a stroke unit, and a swallowing screen (242 of 522, 46% vs. 24 of 350, 6·8%, P ≤ 0·0001) within the first 24 hours of admission to hospital. There was no difference between the groups in the treatment of patients with fever with paracetamol (22 of 105, 21% vs. 38 of 131, 29%, P = 0·78) or their hyperglycemia with insulin (40 of 100, 40% vs. 17 of 57, 30%, P = 0·49). Interpretation Our intervention resulted in better protocol adherence in intervention stroke units, which explains our main trial findings of improved patient 90-day outcomes. Although monitoring practices significantly improved, there was no difference between the groups in the treatment of fever and hyperglycemia following acute stroke. A significant link between improved treatment practices and improved outcomes would have explained further the success of our intervention, and we are still unable to explain definitively the large improvements in death and dependency found in the main trial results. One potential explanation is that improved monitoring may have led to better overall surveillance of deteriorating patients and faster initiation of treatments not measured as part of the main trial.


Implementation Science | 2009

Fever, hyperglycaemia and swallowing dysfunction management in acute stroke: A cluster randomised controlled trial of knowledge transfer

Sandy Middleton; Christopher Levi; Jeanette Ward; Jeremy Grimshaw; Rhonda Griffiths; Catherine D'Este; Simeon Dale; N. Wah Cheung; Clare Quinn; Malcolm Evans; Dominique A. Cadilhac

BackgroundHyperglycaemia, fever, and swallowing dysfunction are poorly managed in the admission phase of acute stroke, and patient outcomes are compromised. Use of evidence-based guidelines could improve care but have not been effectively implemented. Our study aims to develop and trial an intervention based on multidisciplinary team-building to improve management of fever, hyperglycaemia, and swallowing dysfunction in patients following acute stroke.Methods and designMetropolitan acute stroke units (ASUs) located in New South Wales, Australia will be stratified by service category (A or B) and, within strata, by baseline patient recruitment numbers (high or low) in this prospective, multicentre, single-blind, cluster randomised controlled trial (CRCT). ASUs then will be randomised independently to either intervention or control groups. ASUs allocated to the intervention group will receive: unit-based workshops to identify local barriers and enablers; a standardised core education program; evidence-based clinical treatment protocols; and ongoing engagement of local staff. Control group ASUs will receive only an abridged version of the National Clinical Guidelines for Acute Stroke Management. The following outcome measures will be collected at 90 days post-hospital admission: patient death, disability (modified Rankin Score); dependency (Barthel Index) and Health Status (SF-36). Additional measures include: performance of swallowing screening within 24 hours of admission; glycaemic control and temperature control.DiscussionThis is a unique study of research transfer in acute stroke. Providing optimal inpatient care during the admission phase is essential if we are to combat the rising incidence of debilitating stroke. Our CRCT will also allow us to test interventions focussed on multidisciplinary ASU teams rather than individual disciplines, an imperative of modern hospital services.Trial RegistrationAustralia New Zealand Clinical Trial Registry (ANZCTR) No: ACTRN12608000563369


International Journal of Stroke | 2013

Referral and triage of patients with transient ischemic attacks to an acute access clinic: risk stratification in an Australian setting.

Parker Magin; Daniel Lasserson; Mark W. Parsons; Neil J. Spratt; Malcolm Evans; Michelle Russell; Angela T. Royan; Susan Goode; Patrick McElduff; Christopher Levi

Background Transient ischemic attacks and minor stroke entail considerable risk of completed stroke but this risk is reduced by prompt assessment and treatment. Risk can be stratified according to the ABCD2 prediction score. Current guidelines suggest specialist assessment and treatment within 24 h for high-risk event (ABCD2 score 4–7) and seven-days for low-risk event (ABCD2 score ≤ 3). Aims The study aims to establish paths to care and outcomes for patients referred by general practitioners and emergency departments to an Australian acute access transient ischemic attack service. Methods This is a prospective audit. Primary outcomes were time from event to referral, from referral to clinic appointment, and from event to appointment. ABCD2 score was calculated for each event. Time from event was modeled using Cox proportional hazards regression. Results There were 231 clinic attendees (general practitioner: 127; emergency department: 104). Mean time from event to referral was 9·2 days (SD 23·7, median 2), from referral to being seen in the clinic was 13·6 days (SD 19·0, median 7), and from event to being seen in the clinic was 17·2 days (SD 27·1, median 10). Of low-risk patients, 38·5% were seen within seven-days of event. Of high-risk patients, 36·7% were seen within one-day. ABCD2 score was not a significant predictor of any time interval from event to clinic attendance. There were no completed strokes prior to clinic attendance. Conclusions Times from event to clinic assessment were in excess of current recommendations and risk stratification was suboptimal, though short-term outcomes were good. Improvements in referral mechanisms may enhance risk-stratification and triage.


International Journal of Stroke | 2014

Management of fever, hyperglycemia, and swallowing dysfunction following hospital admission for acute stroke in New South Wales, Australia.

Peter Drury; Christopher Levi; Elizabeth McInnes; Jennifer Hardy; Jeanette Ward; Jeremy Grimshaw; Catherine D'Este; Simeon Dale; Patrick McElduff; N. Wah Cheung; Clare Quinn; Rhonda Griffiths; Malcolm Evans; Dominique A. Cadilhac; Sandy Middleton

Background Fever, hyperglycemia, and swallow dysfunction poststroke are associated with significantly worse outcomes. We report treatment and monitoring practices for these three items from a cohort of acute stroke patients prior to randomization in the Quality in Acute Stroke Care trial. Method Retrospective medical record audits were undertaken for prospective patients from 19 stroke units. For the first three-days following stroke, we recorded all temperature readings and administration of paracetamol for fever (≥37.5°C) and all glucose readings and administration of insulin for hyperglycemia (>11 mmol/L). We also recorded swallow screening and assessment during the first 24 h of admission. Results Data for 718 (98%) patients were available; 138 (19%) had four hourly or more temperature readings and 204 patients (29%) had a fever, with 44 (22%) receiving paracetamol. A quarter of patients (n = 102/412, 25%) had six hourly or more glucose readings and 23% (95/412) had hyperglycemia, with 31% (29/95) of these treated with insulin. The majority of patients received a swallow assessment (n = 562, 78%) by a speech pathologist in the first instance rather than a swallow screen by a nonspeech pathologist (n = 156, 22%). Of those who passed a screen (n = 108 of 156, 69%), 68% (n = 73) were reassessed by a speech pathologist and 97% (n = 71) were reconfirmed to be able to swallow safely. Conclusions Our results showed that acute stroke patients were: undermonitored and undertreated for fever and hyperglycemia; and underscreened for swallowing dysfunction and unnecessarily reassessed by a speech pathologist, indicating the need for urgent behavior change.


Internal Medicine Journal | 2011

Death, dependency and health status 90 days following hospital admission for acute stroke in NSW

Sandy Middleton; Christopher Levi; Jeanette Ward; Jeremy Grimshaw; Rhonda Griffiths; Catherine D'Este; Simeon Dale; Clare Quinn; Malcolm Evans; Dominique A. Cadilhac; Patrick McElduff

Background:  Stroke is an Australian health priority area causing considerable levels of disability. We report 90‐day outcomes for a cohort of acute stroke patients in New South Wales (NSW), Australia prior to randomization to a large cluster randomized controlled trial (CRCT), the Quality in Acute Stroke Care (QASC) trial.


Neurology India | 2017

The influence of initial stroke severity on mortality, overall functional outcome and in-hospital placement at 90 days following acute ischemic stroke: A tertiary hospital stroke register study

Sonu Bhaskar; Peter Stanwell; Andrew Bivard; Neil J. Spratt; Rhonda Walker; Gemma Kitsos; Mark W. Parsons; Malcolm Evans; Louise Jordan; Michael Nilsson; John Attia; Christopher Levi

Background and Purpose: Epidemiological studies on the extent of the interaction and/or influence of stroke severity on clinical outcomes are important. The aim of the present study was to investigate the putative (and degree of) impact of initial stroke severity in predicting the overall functional outcome, in-hospital placement, and mortality in acute ischemic stroke (AIS) in comparison with age, admission to the stroke unit and thrombolytic treatment. Materials and Methods: The John Hunter Hospital acute stroke register was used to collect a retrospective cohort of AIS patients being assessed for reperfusion therapy and admitted between January 2006 and December 2013. Univariate and multivariate logistic regression and receiver operating characteristics analyses were used to assess associations with functional outcome, in-hospital placement, and mortality at 90 days. Results: 608 AIS patients with complete datasets were included in the study. On univariate analysis, initial stroke severity showed the strongest independent association to the risk of death within 90 days (Odds ratio (OR) =1.15; P < 0.001; 95% confidence interval (CI) = [1.11, 1.18]); age was a less significant independent influence (OR = 1.02; P = 0.049; 95% CI = [1.00, 1.03]). Multivariate logistic regression analysis demonstrated that initial stroke severity independently predicted the 90 day mortality (OR = 1.16; 95% CI = [1.12, 1.2]; P < 0.0001) and unfavorable outcome (OR = 1.16; 95% CI = [1.13, 1.2]; P < 0.0001). Higher National Institute of Health Stroke Scale at admission was significantly associated with longer in-hospital placement (P < 0.0001). Conclusions: In this acute stroke cohort, initial stroke severity had a major impact on the likelihood of death following an AIS and appears to be the dominant influence on the overall stroke outcome and in-hospital placement.


Stroke Research and Treatment | 2014

Five Years of Acute Stroke Unit Care: Comparing ASU and Non-ASU Admissions and Allied Health Involvement

Isobel J. Hubbard; Malcolm Evans; Sarah McMullen-Roach; Jodie Marquez; Mark W. Parsons

Background. Evidence indicates that Stroke Units decrease mortality and morbidity. An Acute Stroke Unit (ASU) provides specialised, hyperacute care and thrombolysis. John Hunter Hospital, Australia, admits 500 stroke patients each year and has a 4-bed ASU. Aims. This study investigated hospital admissions over a 5-year period of all strokes patients and of all patients admitted to the 4-bed ASU and the involvement of allied health professionals. Methods. The study retrospectively audited 5-year data from all stroke patients admitted to John Hunter Hospital (n = 2525) and from nonstroke patients admitted to the ASU (n = 826). The studys primary outcomes were admission rates, length of stay (days), and allied health involvement. Results. Over 5 years, 47% of stroke patients were admitted to the ASU. More male stroke patients were admitted to the ASU (chi2 = 5.81; P = 0.016). There was a trend over time towards parity between the number of stroke and nonstroke patients admitted to the ASU. When compared to those admitted elsewhere, ASU stroke patients had a longer length of stay (z = −8.233; P = 0.0000) and were more likely to receive allied healthcare. Conclusion. This is the first study to report 5 years of ASU admissions. Acute Stroke Units may benefit from a review of the healthcare provided to all stroke patients. The trends over time with respect to the utilisation of the John Hunter Hospitalls ASU have resulted in a review of the hospitalls Stroke Unit and allied healthcare.


The Lancet | 2011

Implementation of evidence-based treatment protocols to manage fever, hyperglycaemia, and swallowing dysfunction in acute stroke (QASC): a cluster randomised controlled trial

Sandy Middleton; Patrick McElduff; Jeanette Ward; Jeremy Grimshaw; Simeon Dale; Catherine D'Este; Peta Drury; Rhonda Griffiths; N. Wah Cheung; Clare Quinn; Malcolm Evans; Dominique A. Cadilhac; Christopher Levi


The Medical Journal of Australia | 2008

Improving access to acute stroke therapies: a controlled trial of organised pre-hospital and emergency care.

Debbie Quain; Mark W. Parsons; Allan R. Loudfoot; Neil J. Spratt; Malcolm Evans; Michelle Russell; Angela T. Royan; Andrea Moore; Ferdinand Miteff; Carolyn Hullick; John Attia; Patrick McElduff; Christopher Levi

Collaboration


Dive into the Malcolm Evans's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar

Rhonda Griffiths

University of Western Sydney

View shared research outputs
Top Co-Authors

Avatar

Simeon Dale

Australian Catholic University

View shared research outputs
Top Co-Authors

Avatar

Jeremy Grimshaw

Ottawa Hospital Research Institute

View shared research outputs
Top Co-Authors

Avatar

Catherine D'Este

Australian National University

View shared research outputs
Top Co-Authors

Avatar

Dominique A. Cadilhac

Florey Institute of Neuroscience and Mental Health

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Sandy Middleton

Australian Catholic University

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge