Impact of pay-for-performance for stroke unit access on mortality in Queensland, Australia: an interrupted time series analysis.

Background: Stroke unit care provides substantial benefits for all subgroups of patient with stroke, but consistent access has been difficult to achieve in many healthcare systems. Pay-for-performance incentives have been introduced widely in attempt to improve quality and efficiency in healthcare, but there is limited evidence of positive impact when they are targeted at hospitals. In 2012, a pay-for-performance program targeting stroke unit access was co-designed and implemented within a clinical quality improvement network across public hospitals in Queensland, Australia. We assessed the impact on access to specialist care and mortality following stroke. Methods: We used interrupted time series analysis on linked hospital and death registry data to compare changes in level (absolute proportions) and trends in outcomes (stroke/coronary care unit admission, 6-month mortality) for stroke, and a control condition of myocardial infarction (MI) without pay-for-performance incentive, from 2009 before, to 2017 after introduction of the pay-for-performance scheme in 2012. Findings: We included 23,572 patients with stroke and 39,511 with MI. Following pay-for-performance introduction, stroke unit access increased by an absolute 35% (95% CI 29, 41) more than historical trend prediction, with greater impact for regional/rural residents (41% vs major city 24%) where baseline access was lowest (18% vs major city residents 53%). Historical upward 6-month mortality trends following stroke (+0.11%/month) reversed to a downward slope (-0.05%/month) with pay-for-performance; difference -0.16%/month (95% CI -0.29, -0.03). In contrast, access to coronary care and mortality trends for MI controls were unchanged, difference-in-difference for mortality -0.18%, (95% CI -0.34, -0.02). Interpretation: This clinician led pay-for-performance incentive stimulated significant improvements in stroke unit access, reduced regional disparities; and resulted in a sustained decline in 6-month mortality. As our findings contrast with lack of effect in most hospital directed pay-for-performance programs, differences in design and context provide insights for optimal program design. Funding: Queensland Advancing Clinical Research Fellowship, National Health and Medical Research Council Senior Research Fellowship.

Costs of acute hospitalisation for stroke and transient ischaemic attack in Australia.

BACKGROUND: Stroke is a high-cost condition. Detailed patient-level assessments of the costs of care received and outcomes achieved provide useful information for organisation and optimisation of the health system. OBJECTIVES: To describe the costs of hospital care for stroke and transient ischaemic attack (TIA) and investigate factors associated with costs. METHODS: Retrospective cohort study using data from the Australian Stroke Clinical Registry (AuSCR) collected between 2009 and 2013 linked to hospital administrative data and clinical costing data in Queensland. Clinical costing data include standardised assignment of costs from hospitals that contribute to the National Hospital Costing programme. Patient-level costs for each hospital admission were described according to the demographic, clinical and treatment characteristics of patients. Multivariable median regression with clustering by hospital was used to determine factors associated with greater costs. RESULTS: Among 22 hospitals, clinical costing data were available for 3909 of 5522 patient admissions in the AuSCR (71%). Compared to those without clinical costing data, patients with clinical costing data were more often aged <65 years (30% with cost data vs 24% without cost data, p < 0.001) and male (56% with cost data vs 49% without cost data, p < 0.001). Median cost of an acute episode was $7945 (interquartile range $4176 to $14970) and the median length of stay was 5 days (interquartile range 2 to 10 days). The most expensive cost buckets were related to medical (n = 3897, median cost $1577), nursing (n = 3908, median cost $2478) and critical care (n = 434, median cost $3064). Factors associated with greater total costs were a diagnosis of intracerebral haemorrhage, greater socioeconomic position, in-hospital stroke and prior history of stroke. CONCLUSION: Medical and nursing costs were incurred by most patients admitted with stroke or TIA, and were relatively more expensive on average than other cost buckets such as imaging and allied health. IMPLICATIONS: Scaling this data linkage to national data collections may provide valuable insights into activity-based funding at public hospitals. Regular report of these costs should be encouraged to optimise economic evaluations.

Understanding the Role of External Facilitation to Drive Quality Improvement for Stroke Care in Hospitals.

The use of external facilitation within the context of multicomponent quality improvement interventions (mQI) is growing. We aimed to evaluate the influence of external facilitation for improving the quality of acute stroke care. Clinicians from hospitals participating in mQI (Queensland, Australia) as part of the Stroke123 study were supported by external facilitators in a single, on-site workshop to review hospital performance against eight clinical processes of care (PoCs) collected in the Australian Stroke Clinical Registry (AuSCR) and develop an action plan. Remote support (i.e., telephone/email) after the workshop was provided. As part of a process evaluation for Stroke123, we recorded the number and mode of contacts between clinicians and facilitators; type of support provided; and frequency of self-directed, hospital-level stroke registry data reviews. Analysis: We measured the association between amount/type of external facilitation, (i) development of action plans, and (ii) adherence to PoCs before and after the intervention using AuSCR data from 2010 to 2015. In total, 14/19 hospitals developed an action plan. There was no significant difference in amount or type of external facilitator support provided between hospitals that did, and did not, develop an action plan. There was no relationship between the amount of external facilitation and change in adherence to PoCs. Most (95%) hospitals accessed stroke registry performance data. In the Stroke123 study, the amount or type of external facilitation did not influence action plan development, and the amount of support did not influence the changes achieved in adherence to PoCs. Remote support may not add value for mQI.

Dose and setting of rehabilitation received after stroke in Queensland, Australia: a prospective cohort study.

OBJECTIVE: The aims of this study were to describe patterns and dose of rehabilitation received following stroke and to investigate their relationship with outcomes. DESIGN: This was a prospective observational cohort study. SETTING: A total of seven public hospitals and all subsequent rehabilitation services in Queensland, Australia, participated in the study. SUBJECTS: Participants were consecutive patients surviving acute stroke between July 2016 and January 2017. METHODS: We tracked rehabilitation for six months following stroke and obtained 90- to 180-day outcomes from the Australian Stroke Clinical Registry. MEASURES: Dose of rehabilitation - time in therapy by physiotherapy, occupational therapy and speech pathology; modified Rankin Scale (mRS)- premorbid, acute care discharge and 90- to 180-day follow-up. RESULTS: We recruited 504 patients, of whom 337 (median age = 73 years, 41% female) received 643 episodes of rehabilitation in 83 different services. Initial rehabilitation was predominantly inpatient (260/337, 77%) versus community-based (77/337, 21%). Therapy time was greater within inpatient services (median = 29 hours) compared to community-based (6 hours) or transition care (16 hours). Median (Quartile 1, Quartile 3) six-month cumulative therapy time was 73 hours (40, 130) when rehabilitation commenced in stroke units and continued in inpatient rehabilitation units; 43 hours (23, 78) when commenced in inpatient rehabilitation units; and 5 hours (2, 9) with only community rehabilitation. In 317 of 504 (63%) with follow-up data, improvement in mRS was most likely with inpatient rehabilitation (OR = 3.6, 95% CI = 1.7-7.7), lower with community rehabilitation (OR = 1.6, 95% CI = 0.7-3.8) compared to no rehabilitation, after adjustment for baseline factors. CONCLUSION: Amount of therapy varied widely between rehabilitation pathways. Amount of therapy and chance of improvement in function were highest with inpatient rehabilitation.

Nurse-Initiated Acute Stroke Care in Emergency Departments: The Triage, Treatment, and Transfer Implementation Cluster Randomized Controlled Trial.

Background and Purpose- We aimed to evaluate the effectiveness of an intervention to improve triage, treatment, and transfer for patients with acute stroke admitted to the emergency department (ED). Methods- A pragmatic, blinded, multicenter, parallel group, cluster randomized controlled trial was conducted between July 2013 and September 2016 in 26 Australian EDs with stroke units and tPA (tissue-type plasminogen activator) protocols. Hospitals, stratified by state and tPA volume, were randomized 1:1 to intervention or usual care by an independent statistician. Eligible ED patients had acute stroke <48 hours from symptom onset and were admitted to the stroke unit via ED. Our nurse-initiated T3 intervention targeted (1) Triage to Australasian Triage Scale category 1 or 2; (2) Treatment: tPA eligibility screening and appropriate administration; clinical protocols for managing fever, hyperglycemia, and swallowing; (3) prompt (<4 hours) stroke unit Transfer. It was implemented using (1) workshops to identify barriers and solutions; (2) face-to-face, online, and written education; (3) national and local clinical opinion leaders; and (4) email, telephone, and site visit follow-up. Outcomes were assessed at the patient level. Primary outcome: 90-day death or dependency (modified Rankin Scale score of ≥2); secondary outcomes: functional dependency (Barthel Index ≥95), health status (Short Form [36] Health Survey), and ED quality of care (Australasian Triage Scale; monitoring and management of tPA, fever, hyperglycemia, swallowing; prompt transfer). Intention-to-treat analysis adjusted for preintervention outcomes and ED clustering. Patients, outcome assessors, and statisticians were masked to group allocation. Results- Twenty-six EDs (13 intervention and 13 control) recruited 2242 patients (645 preintervention and 1597 postintervention). There were no statistically significant differences at follow-up for 90-day modified Rankin Scale (intervention: n=400 [53.5%]; control n=266 [48.7%]; P=0.24) or secondary outcomes. Conclusions- This evidence-based, theory-informed implementation trial, previously effective in stroke units, did not change patient outcomes or clinician behavior in the complex ED environment. Implementation trials are warranted to evaluate alternative approaches for improving ED stroke care. Clinical Trial Registration- URL: http://www.anzctr.org.au. Unique identifier: ACTRN12614000939695.

Multicenter, Prospective, Controlled, Before-and-After, Quality Improvement Study (Stroke123) of Acute Stroke Care.

Background and Purpose- Hospital uptake of evidence-based stroke care is variable. We aimed to determine the impact of a multicomponent program involving financial incentives and quality improvement interventions, on stroke care processes. Methods- A prospective study of interventions to improve clinical care quality indicators at 19 hospitals in Queensland, Australia, during 2010 to 2015, compared with historical controls and 23 other Australian hospitals. After baseline routine audit and feedback (control phase, 30 months), interventions involving financial incentives (21 months) and then addition of externally facilitated quality improvement workshops with action plan development (9 months) were implemented. Postintervention phase was 13 months. Data were obtained for the analysis from a previous continuous audit in Queensland and subsequently the Australian Stroke Clinical Registry. Primary outcome: change in median composite score for adherence to ≤8 indicators. Secondary outcomes: change in adherence to self-selected indicators addressed in action plans and 4 national indicators compared with other Australian hospitals. Multivariable analyses with adjustment for clustered data. Results- There were 17 502 patients from the intervention sites (median age, 74 years; 46% women) and 20 484 patients from other Australian hospitals. Patient characteristics were similar between groups. There was an 18% improvement in the primary outcome across the study periods (95% CI, 12%-24%). The largest improvement was following introduction of financial incentives (14%; 95% CI, 8%-20%), while indicators addressed in action plans provided an 8% improvement (95% CI, 1%-17%). The national score (4 indicators) improved by 17% (95% CI, 13%-20%) versus 0% change in other Australian hospitals (95% CI, -0.03 to 0.03). Access to stroke units improved more in Queensland than in other Australian hospitals ( P<0.001). Conclusions- The quality improvement interventions significantly improved clinical practice. The findings were primarily driven by financial incentives, but were also contributed to by the externally facilitated, quality improvement workshops. Assessment in other regions is warranted.

Assessment and selection for rehabilitation following acute stroke: a prospective cohort study in Queensland, Australia.

OBJECTIVE: To describe current practice and investigate factors associated with selection for rehabilitation following acute stroke. DESIGN: Prospective observational cohort study. SETTING: Seven public hospitals in Queensland, Australia. SUBJECTS: Consecutive patients surviving acute stroke. MEASURES: Rehabilitation selection processes are assessment for rehabilitation needs, referral for rehabilitation and receipt of rehabilitation. Functional impairment following stroke is modified Rankin Scale (mRS). RESULTS: We recruited 504 patients, median age 73 years (interquartile range (IQR) = 62-82), between July 2016 and January 2017. Of these, 90% (454/504) were assessed for rehabilitation needs, 76% (381/504) referred for rehabilitation, and 72% (363/504) received any rehabilitation. There was significant variation in all rehabilitation selection processes across sites (P < 0.05). In multivariable analyses, stroke unit care (odds ratio (OR) = 2.7; 95% confidence interval (CI) = 1.1, 6.6) and post stroke functional impairment (severe stroke mRS 4-5: OR = 10.9; 95% CI = 4.9, 24.6) were associated with receiving an assessment for rehabilitation. Receipt of rehabilitation was more likely following assessment (OR = 6.5; 95% CI = 2.9, 14.6) but less likely in patients with dementia (OR = 0.2; 95% CI = 0.1, 0.9), end-stage medical conditions (OR = 0.4; 95% CI = 0.2, 0.8) or ischaemic stroke (OR = 0.4; 95% CI = 0.1, 0.9). The odds of receiving rehabilitation increased with greater impairment: OR = 3.0 (95% CI = 1.5, 4.9) for mRS 2-3 and OR = 12.5 (95% CI = 6.5, 24.3) for mRS 4-5. Among patients with mild-moderate impairment (mRS 2-3), 39/117 (33%) received no rehabilitation. CONCLUSIONS: There was significant inter-site variation in rehabilitation selection processes. The major factors influencing rehabilitation access were assessment for rehabilitation needs, co-morbidities and post-stroke functional impairment. Gaps in access to rehabilitation were found in those with mild to moderate functional impairment.

Triage, treatment and transfer of patients with stroke in emergency department trial (the T3 Trial): a cluster randomised trial protocol.

BACKGROUND: Internationally recognised evidence-based guidelines recommend appropriate triage of patients with stroke in emergency departments (EDs), administration of tissue plasminogen activator (tPA), and proactive management of fever, hyperglycaemia and swallowing before prompt transfer to a stroke unit to maximise outcomes. We aim to evaluate the effectiveness in EDs of a theory-informed, nurse-initiated, intervention to improve multidisciplinary triage, treatment and transfer (T3) of patients with acute stroke to improve 90-day death and dependency. Organisational and contextual factors associated with intervention uptake also will be evaluated. METHODS: This prospective, multicentre, parallel group, cluster randomised trial with blinded outcome assessment will be conducted in EDs of hospitals with stroke units in three Australian states and one territory. EDs will be randomised 1:1 within strata defined by state and tPA volume to receive either the T3 intervention or no additional support (control EDs). Our T3 intervention comprises an evidence-based care bundle targeting: (1) triage: routine assignment of patients with suspected stroke to Australian Triage Scale category 1 or 2; (2) treatment: screening for tPA eligibility and administration of tPA where applicable; instigation of protocols for management of fever, hyperglycaemia and swallowing; and (3) transfer: prompt admission to the stroke unit. We will use implementation science behaviour change methods informed by the Theoretical Domains Framework [1, 2] consisting of (i) workshops to determine barriers and local solutions; (ii) mixed interactive and didactic education; (iii) local clinical opinion leaders; and (iv) reminders in the form of email, telephone and site visits. Our primary outcome measure is 90 days post-admission death or dependency (modified Rankin Scale >2). Secondary outcomes are health status (SF-36), functional dependency (Barthel Index), quality of life (EQ-5D); and quality of care outcomes, namely, monitoring and management practices for thrombolysis, fever, hyperglycaemia, swallowing and prompt transfer. Outcomes will be assessed at the patient level. A separate process evaluation will examine contextual factors to successful intervention uptake. At the time of publication, EDs have been randomised and the intervention is being implemented. DISCUSSION: This theoretically informed intervention is aimed at addressing important gaps in care to maximise 90-day health outcomes for patients with stroke. TRIAL REGISTRATION: Australian and New Zealand Clinical Trials Registry ACTRN12614000939695 . Registered 2 September 2014.

Immune activation in the peripheral blood of patients with acute ischemic stroke.

Lymphocytes, neutrophils and macrophages are found in the brain in areas of acute ischaemic stroke. There is also evidence of modulation of systemic immune function after stroke, with post-stroke immunosuppression being observed. Because lymphocytes are activated in the peripheral immune compartment, before entry to the target organ, we reasoned that activated lymphocytes would be present in the circulation, prior to entering the brain, in patients after stroke. Because immune responses are controlled by regulatory mechanisms, we also reasoned that the post-stroke immunosuppression would involve T regulatory cells. The aim of the study was to look for evidence of immune activation and alterations in regulatory T cells in the peripheral blood of patients after acute ischaemic stroke, in comparison to age-matched healthy controls and patients with other neurological diseases (OND), and to determine the phenotype of the activated cells. The percentages of total and activated T cells, B cells, monocyte/ macrophages, and NK/NK-T cells were determined by labelling peripheral blood leukocytes with specific cell surface markers and analysis with 4-colour flow cytometry. The percentages of activated T cells and regulatory T cells were significantly increased in patients with ischemic stroke compared to healthy subjects and patients with OND. There was also an increase in the percentage of CCR7+ T cells. There were no significant differences in the activation of other cell types. In conclusion, there is evidence of immune activation and Treg cells in acute ischaemic stroke.