Diabetes in ischaemic stroke in a regional Australian hospital: uncharted territory.

BACKGROUND: Stroke and diabetes mellitus (DM) are significant interrelated healthcare issues but there is a dearth of data on the prevalence of DM among Australia's regional stroke population. AIMS: We aimed to determine the prevalence of DM in stroke patients at a large regional centre, including subanalyses on stroke subtypes, glycaemic control and renal function in ischaemic stroke (IS). METHODS: We conducted a retrospective analysis of all patients (n = 323) with IS or transient ischaemic attack (TIA) admitted to Ballarat Base Hospital from January 2015 to December 2016. Demographic data, cardiovascular risk factors, aetiology/territory of IS, pre-morbid DM status, indicators of glycaemic control and renal impairment were recorded. RESULTS: DM was present in 28.5% of IS and TIA patients, including 4% being newly diagnosed. Among diabetic IS patients, 45.3% had poor glycaemic control (HbA1c ≥7.0%) while 16% had moderate to severe renal impairment (estimated glomerular filtration rate of <30). The majority of IS were partial anterior circulation stroke (53.4%) and cardioembolism was the commonest mechanism (43.5%). We found no significant association between DM and a specific stroke location or mechanism. CONCLUSIONS: Almost one-third of IS/TIA patients had DM, with a significant proportion showing poor glycaemic control. The DM prevalence in our cohort was comparable with reported rates from other developed countries. Although we found no association between DM and a particular stroke type or mechanism, it is likely a reflection of our cohort size. Our study demonstrated that DM, as a significant risk factor in IS, warrants early detection and better management strategies.

Improving acute stroke care in regional hospitals: clinical evaluation of the Victorian Stroke Telemedicine program.

OBJECTIVES: To evaluate the impact of the Victorian Stroke Telemedicine (VST) program during its first 12 months on the quality of care provided to patients presenting with suspected stroke to hospitals in regional Victoria. DESIGN: Historical controlled cohort study comparing outcomes during a 12-month control period with those for the initial 12 months of full implementation of the VST program at each hospital. SETTING: 16 hospitals in regional Victoria that participated in the VST program between 1 January 2010 and 30 January 2016. PARTICIPANTS: Adult patients with suspected stroke presenting to the emergency departments of the participating hospitals. MAIN OUTCOME MEASURES: Indicators for key processes of care, including symptom onset-to-arrival, door-to-first medical review, and door-to-CT times; provision and timeliness of provision of thrombolysis to patients with ischaemic stroke. RESULTS: 2887 patients with suspected stroke presented to participating emergency departments during the control period, 3178 during the intervention period; the patient characteristics were similar for both periods. A slightly larger proportion of patients with ischaemic stroke who arrived within 4.5 hours of symptom onset received thrombolysis during the intervention than during the control period (37% v 30%). Door-to-CT scan time (median, 25 min [IQR, 13-49 min] v 34 min [IQR, 18-76 min]) and door-to-needle time for stroke thrombolysis (73 min [IQR, 56-96 min] v 102 min [IQR, 77-128 min]) were shorter during the intervention. The proportions of patients who received thrombolysis and had a symptomatic intracerebral haemorrhage (4% v 16%) or died in hospital (6% v 20%) were smaller during the intervention period. CONCLUSIONS: Telemedicine has provided Victorian regional hospitals access to expert care for emergency department patients with suspected acute stroke. Eligible patients with ischaemic stroke are now receiving stroke thrombolysis more quickly and safely.

Prevalence and risk factors of ischaemic stroke in the young: a regional Australian perspective.

BACKGROUND: There is no universally accepted age cut-off for defining young strokes. AIMS: We aimed to determine, based on the profile of young stroke patients in our regional centre, an appropriate age cut-off for young strokes. METHODS: A retrospective analysis of all ischaemic stroke patients admitted to our centre from 2015 to 2017. We identified 391 ischaemic stroke patients; 30 patients between the ages of ≤50, 40 between 51-60 inclusive and 321 ≥ 61 years of age. We collected data on demographic profiles, risk factors and stroke classification using the Trial of Org 10 172 in Acute Stroke Treatment criteria. RESULTS: We found significant differences between the ≤50 and ≥61 age groups for most of the risk factors and similarities between the 51-60 inclusive and ≥ 61 age groups. At least one of the six risk factors assessed in the study was present in 86.7% of the youngest group, 97.5% of the intermediate age group and 97.2% in the oldest group. In terms of the mechanisms of stroke, the youngest and oldest age groups in our study differed in the prevalence of cryptogenic, cardioembolic and other causes of stroke. The middle and older age groups had similar mechanisms of stroke. CONCLUSIONS: The prevalence of vascular risk factors and mechanisms of stroke likewise differed significantly across age groups. This study suggests that 50 years is an appropriate age cut-off for defining young strokes and reinforces the importance of primary prevention in all age groups.

Nurses' Role in Implementing and Sustaining Acute Telemedicine: A Mixed-Methods, Pre-Post Design Using an Extended Technology Acceptance Model.

PURPOSE: Technology-based systems like telemedicine are frequently being implemented into healthcare settings, impacting clinician practices. Little is known about factors influencing acute telemedicine uptake, if factors differ across time, or between nurses and non-nurses. DESIGN: A mixed-methods, pre-post design with implementation of a new acute stroke telemedicine service. METHODS: A survey based on an extended Technology Acceptance Model (TAM) was administered to clinicians involved in acute stroke care at 16 regional hospitals (2014-2017). Open-ended questions postimplementation (at 6 months) included strengths of the program and areas to improve. Subsequently, a secondary analysis of nurses' semistructured interviews at the first telemedicine site (2010-2011) was completed to provide greater explanatory detail. FINDINGS: Surveys were completed by nurses (preimplementation n = 77, postimplementation n = 92) and non-nurses (pre n = 90, post n = 44). Preimplementation, perceived usefulness was the only significant predictor of intending to use telemedicine for nurses, while perceived ease of use and social influence were significant for non-nurses. Postimplementation, perceived usefulness was significant for both groups, as was facilitating conditions for nurses. Specific examples aligned to TAM categories from our detailed interviews (n = 11 nurses) included perceived usefulness (improved clinical support and patient care), perceived ease of use (technical, clinical aspects), facilitating conditions (setting, education, confidence), and social influence (working relationships). CONCLUSIONS: Important factors for acute stroke telemedicine varied between nurses and non-nurses, and changed after implementation. The benefits of telemedicine should be emphasized to nurses. Preimplementation, more non-nurses wanted systems to be easy. Support in clinical, technical, and relationship aspects of telemedicine consultations is required. CLINICAL RELEVANCE: Nurses are influential in implementing acute telemedicine, which is complex, with clinical and technical aspects entwined. Evidence-based implementation strategies must be tailored over time, and between nurses and non-nurses, to ensure initial uptake and ongoing use.

Factors influencing the successful implementation of a novel digital health application to streamline multidisciplinary communication across multiple organisations for emergency care.

RATIONALE: Delivering optimal patient health care requires interdisciplinary clinician communication. A single communication tool across multiple pre-hospital and hospital settings, and between hospital departments is a novel solution to current systems. Fit-for-purpose, secure smartphone applications allow clinical information to be shared quickly between health providers. Little is known as to what underpins their successful implementation in an emergency care context. AIMS: To identify (a) whether implementing a single, digital health communication application across multiple health care organisations and hospital departments is feasible; (b) the barriers and facilitators to implementation; and (c) which factors are associated with clinicians' intentions to use the technology. METHODS: We used a multimethod design, evaluating the implementation of a secure, digital communication application (Pulsara™). The technology was trialled in two Australian regional hospitals and 25 Ambulance Victoria branches (AV). Post-training, clinicians involved in treating patients with suspected stroke or cardiac events were administered surveys measuring perceived organisational readiness (Organisational Readiness for Implementing Change), clinicians' intentions (Unified Theory of Acceptance and Use of Technology) and internal motivations (Self-Determination Theory) to use Pulsara™, and the perceived benefits and barriers of use. Quantitative data were descriptively summarised with multivariable associations between factors and intentions to use Pulsara™ examined with linear regression. Qualitative data responses were subjected to directed content analysis (two coders). RESULTS: Participants were paramedics (n = 82, median 44 years) or hospital-based clinicians (n = 90, median 37 years), with organisations perceived to be similarly ready. Regression results (F(11, 136) = 21.28, p = <0.001, Adj R2 = 0.60) indicated Habit, Effort Expectancy, Perceived Organisational Readiness, Performance Expectancy and Organisation membership (AV) as predictors of intending to use Pulsara™. Themes relating to benefits (95% coder agreement) included improved communication, procedural efficiencies and faster patient care. Barriers (92% coder agreement) included network accessibility and remembering passwords. PulsaraTM was initiated 562 times. CONCLUSION: Implementing multiorganisational, digital health communication applications is feasible, and facilitated when organisations are change-ready for an easy-to-use, effective solution. Developing habitual use is key, supported through implementation strategies (e.g., hands-on training). Benefits should be emphasised (e.g., during education sessions), including streamlining communication and patient flow, and barriers addressed (e.g., identify champions and local technical support) at project commencement.

Real-world, feasibility study to investigate the use of a multidisciplinary app (Pulsara) to improve prehospital communication and timelines for acute stroke/STEMI care.

OBJECTIVES: To determine if a digital communication app improves care timelines for patients with suspected acute stroke/ST-elevation myocardial infarction (STEMI). DESIGN: Real-world feasibility study, quasi-experimental design. SETTING: Prehospital (25 Ambulance Victoria branches) and within-hospital (2 hospitals) in regional Victoria, Australia. PARTICIPANTS: Paramedics or emergency department (ED) clinicians identified patients with suspected acute stroke (onset <4.5 hours; n=604) or STEMI (n=247). INTERVENTION: The Pulsara communication app provides secure, two-way, real-time communication. Assessment and treatment times were recorded for 12 months (May 2017-April 2018), with timelines compared between 'Pulsara initiated' (Pulsara) and 'not initiated' (no Pulsara). PRIMARY OUTCOME MEASURE: Door-to-treatment (needle for stroke, balloon for STEMI) Secondary outcome measures: ambulance and hospital processes. RESULTS: Stroke (no Pulsara n=215, Pulsara n=389) and STEMI (no Pulsara n=76, Pulsara n=171) groups were of similar age and sex (stroke: 76 vs 75 years; both groups 50% male; STEMI: 66 vs 63 years; 68% and 72% male). When Pulsara was used, patients were off ambulance stretcher faster for stroke (11(7, 17) vs 19(11, 29); p=0.0001) and STEMI (14(7, 23) vs 19(10, 32); p=0.0014). ED door-to-first medical review was faster (6(2, 14) vs 23(8, 67); p=0.0001) for stroke but only by 1 min for STEMI (3 (0, 7) vs 4 (0, 14); p=0.25). Door-to-CT times were 44 min faster (27(18, 44) vs 71(43, 147); p=0.0001) for stroke, and percutaneous intervention door-to-balloon times improved by 17 min, but non-significant (56 (34, 88) vs 73 (49, 110); p=0.41) for STEMI. There were improvements in the proportions of patients treated within 60 min for stroke (12%-26%, p=0.15) and 90 min for STEMI (50%-78%, p=0.20). CONCLUSIONS: In this Australian-first study, uptake of the digital communication app was strong, patient-centred care timelines improved, although door-to-treatment times remained similar.