Background
Aims
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Health system factors associated with higher rates of IV tPA administration for ischemic stroke
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The effectiveness of system-focussed intervention strategies, which meet Cochrane Collaboration Evidence for Practice and Organization of Care (EPOC) study design guidelines, in improving IV tPA rates for treatment of ischemic stroke
Methods
Search strategy
Inclusion criteria
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Studies that quantitatively assessed modifiable health system factors influencing rates of IV tPA for stroke; or
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Intervention studies aiming to improve rates of IV tPA administration for stroke
Exclusion criteria
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Solely addressing patient characteristics such as age, race, education, income or clinical eligibility for thrombolysis
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No denominator for calculating tPA rates or not reporting a tPA rate
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Solely assessing intra-arterial tPA
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Addressing only community-directed or patient-directed activities or changes
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Hypothetical studies
Data extraction
Health system factors
Interventions
Quality control
Analysis
Results
Health system factors
Health system factors | Studies finding no association with higher thrombolysis rate | Studies finding a significant association with higher thrombolysis rate |
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Travel time and location (environmental restructuring)a | ||
Shorter transport time or distance to hospital | ||
Urban (vs rural) | – | |
Centralised (hub model) | – | [57] |
Training, skills and expertise (training and education)a | ||
Treated by a neurologist | – | |
Admitted to or treated in a neurology department or stroke unit | [59] | |
Academic/teaching hospital | [56] | |
Continuing medical education/formal stroke training | [25] | |
Higher volume of stroke admissions/number of neuro beds | ||
Accreditation as medical centre | – | [49] |
Facilities and staffing (service provision)a | ||
Emergency medical service or emergency department | [33] | [25] |
Neurologists, stroke nurse, stroke unit or team | [33] | |
Neurological/neuroimaging services | [62] | |
Laboratory services | – | |
Larger/higher volume hospital | [69] | |
Arrival during “on” hours | – | |
Arrival on weekend | [70] | |
24 h or rapid CT/MRI | [62] | – |
Intensive care unit (cat 1) | [72] | – |
Stroke allocated beds | [33] | – |
Organisational elements (guidelines and regulations)a | ||
Commitment of medical organisation or stroke centre director | [25] | [62] |
Quality improvement outcomes or activities | – | |
Pre-hospital notifications or triage tool | [75] | |
Stroke-related certification | [76] | [77] |
Ambulance agreements/protocols or training | [33] | [33] (borderline positive association) |
Who interprets CT | [33] | – |
Stroke-specific protocols | [62] (acute stroke protocol) | |
Transfer by a mobile emergency team or ambulance | – |
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Travel time and location: e.g. urban rather than rural location, or a centralised/“hub” model linking outlying centres with other, generally larger, centres (environmental restructuring)
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Training, skills and expertise: treatment by neurologist or in a neurology department; admission to a stroke unit; treatment at academic/teaching hospital; treatment at a hospital with higher volume of stroke admissions or neurology beds; or accreditation as a “medical centre” (training and education)
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Facilities and staffing: having a neurologist, stroke nurse or stroke team; neurological or neuroimaging services; and weekend arrival (service provision)
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Organisational elements: use of stroke-specific protocols or transfer by ambulance/mobile emergency team rather than other means (guidelines and regulation)
Effectiveness of system-focussed interventions
Citation, trial name, design, setting | Target group, study duration | Randomization methods | Eligibility | Sample size, response rate, representativeness | Intervention conditions | Outcome measures | Statistical analysis | Findings |
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Demaerschalk 2010 [38], USA STRokE DOC AZ RCT Regional (spoke) and Academic Metropolitan (hub) hospitals | Hospital staff Dec. 2007–Oct. 2008 | Unit of analysis: patient Concealed allocation: yes Blinded: no Allocation to condition: permuted block randomization of patients stratified by site | Patient: >18 years tPA window: onset <3 h. | Patient: n = 54 Hospital: n = 3 Response rate, 68.4 %. Representativeness: no demographic differences between groups Myocardial infarction higher in int. group (p < 0.02). | Int-1: audio and video contact with a certified stroke team at a hub site, who had access to medical history, performed NIHSS, and reviewed test results and CT images Int-2: a hub stroke consultant queried history, physical exam (including NIHSS), test results, CT report | tPA rate: denominator = acute stroke with <3 h onset. Service delivery: 1. Evaluation times (e.g. door-ED) 2. Correct treatment decision Patient outcomes: 1. Barthel Index (score 95–100) 2. mRS (score ≤2). | Cochran-Mantel-Haenszel test: comparison of correct decision rate between groups Fisher’s exact test: rate of tPA, rate of intracranial haemorrhage, mortality, 90 day mRS Wilcoxon rank sum test: 90-day Barthel Index and time comparisons | tPA rate: Int-1, 30 %; Int-2, 30 % Service delivery: 1. NS 2. NS Patient outcome: 1. NS 2. NS Note: insufficient power to assess difference in tPA rates between groups. |
Dirks, 2011 [41], The Netherlands. PRACTISE Cluster RCT Hospitals | Hospital staff, including stroke neurologist and stroke nurse May 2005–Jan. 2008 | Unit of analysis: hospital Concealed allocation: no Blinded: no Allocation to condition: hospitals randomised after pairwise matching on hospital type, tPA rate, stroke patients/year | Patient: >18 years Hospital: 100–500 stroke admissions/year tPA window: <4 h of onset | Patient: n = 1657. Hospital: n = 12. Response rate: Not reported. Representativeness: patients: mean age, sex distribution and mean NIHSS at admission were similar between groups | Int: 5 × half day (across 2 years) meetings based on Breakthrough Series model. Teams of stroke neurologist and stroke nurse were created, who noted barriers to tPA use, set goals and plan actions C: usual practices. | tPA rate: denominator = ischemic stroke, <4 h onset Service delivery: 1. Onset-to-door time (min) 2. Door-to-needle time (min) Patient outcome: 1. mRS <3 (at 3 months) 2. Quality of life—EuroQoL (at 3 months) 3. Mortality | Intention to treat Multilevel logistic and linear regressions: comparison of tPA use, mRS, QoL and mortality between intervention groups. Service delivery time analysis was adjusted for size, type and previous tPA rates, age, sex. | tPA rate: Int, 44 %; C, 39 % (unadjusted OR = 1.24 [1.02-1.51]). Service delivery: 1. NS 2. NS Patient outcome: 1. Poorer in C group 2. NS 3. NS |
Meyer 2008 [39], USA STRokE DOC RCT Remote “spoke” hospitals | Hospital staff Jan. 2004–Aug. 2007 | Unit of analysis: patient Concealed allocation: no Blinded: no Allocation to condition: patients randomised within permuted blocks stratified by site | Patient: >18 years and ability to sign consent tPA window: <3 h for treatment, but no time limit on eligibility for trial | Patient: n = 222 (111 vs 111) Hospital: n = 4 Response rate: Patients: Not reported. Representativeness: No demographic differences between groups. Int-1 had higher NIHSS score at presentation than Int-2 (p < 0.005). | Int-1: telemedicine (including video) consultation with patient by hub consultant including CT imaging Int-2: telephone consultations for spoke sites with hub consultants Hub provided treatment recommendations for both groups | tPA rate: denominator = acute stroke. Service delivery: 1. Correct treatment decisions 2. Stroke onset to each point of care pathway (min) Patient outcome: 1. Barthel Index (score 95–100). 2. mRS (score ≤2). | Fisher’s exact test: difference in tPA rate, functional outcomes | tPA rate: Int-1, 28 %; Int-2, 23 % (OR = 1.3 [0.7–2.5], p = NS). Service delivery: 1. Greater in Int-1 compared to Int-2 (98 vs 82 %, OR = 10.9 [2.7–44.6], p < 0.001). 2. Few differences in service delivery times. Patient outcome: 1. No difference between groups 2. No difference between groups |
Morgenstern et al. 2003 [42], USA TTL Temple Foundation Stroke Project CBA Hospitals in two communities | Community members and hospital staff Feb. 1998–Sept. 2000 | Unit of analysis: patient Concealed allocation: no Blinded: no Allocation to condition: comparison community selected to match chosen intervention community | Patient: >21 years and county resident tPA window:<3 h | Patient: Phase 1: n = 277 (136 vs 141) Phase 2: n = 499 (266 vs 233) Phase 3: n = 150 (80 vs 70) Hospital: n = 10 Response rate: Patients: N/A Hospitals: not reported Representativeness: hospital characteristics reported | Int: community mass media, hospital-based systems change via multi-disciplinary team development of ED protocols, problem solving, medical education, feedback. C: not specified. | tPA rate: denominator = ischemic stroke Service delivery: 1. Delay time to hospital 2. Staff-reported barriers to treatment Patient outcome: none assessed | Fisher’s exact test: rate of tPA ANOVA: delay in times | tPA rate: Int (phases 1–3): 2.2, 8.6, 11.2 % (p < 0.007); C (phases 1–3): 0.7, 0.9 %, (p = NS) Service delivery: 1. No difference in either group 2. Reduction for Int group only (no statistical test) |
Schwamm et al. 2009 [32], USA ITS Academic and community hospitals | Hospitals April 2003-July 2007 | Unit of analysis: hospital Concealed allocation: N/A Blinded: N/A Allocation to condition: N/A (ITS design) | Patient: Principal diagnosis of stroke or TIA, arrival <2 h from onset, ICD-9. Retrospective chart review to confirm stroke/TIA Hospital: >30 patients | Patient: n = 322,847 (ischemic = 73.2 %; TIA = 26.8 %) Hospital: n = 790 Response rate: Unclear. Staggered recruitment over 4 years. By Jan. 2007, 8.35 % hospitals had dropped out (n = 66) Representativeness: hospital characteristics provided | Int: quality improvement (Get With The Guidelines [GWTG]) programme, with organisational meetings, tool kits, collaborative workshops, hospital recognition, decision support information, performance feedback. | tPA rate: denominator = stroke or TIA, and arrival <2 h of onset Service delivery: none assessed Patient outcome: 1. Symptomatic intracranial haemorrhage within 36 h of tPA | Cochran-Mantel-Haenszel test: mean score for changes in rate of tPA and intracranial haemorrhage over time | tPA rate: significant increase from baseline (42.1 %) to year 5 (72.8 %; p < 0.0001). Patient outcome: 1. NS over time Greatest improvement (composite performance/program year in GWTG) in hospitals with more beds (p < 0.0001), larger annual stroke volume (p < 0.0001) and teaching status (p < 0.0001) |
Scott et al. 2013 [43], USA INSTINCT Cluster RCT Community hospitals | Physicians, pharmacists, nurses, EMS, admin teams Jan.–Dec. 2007 | Unit of analysis: hospital Concealed allocation: no Blinded: no Allocation to condition: within pairs, hospitals were randomised to intervention or control groups. Randomisation reversed for three pairs to achieve greater urban/rural balance | Hospitals: discharging ≥100 stroke patient/year, <100 000 ED visits/year and non-academic stroke centres tPA window: not specified | Hospitals: n = 24 Response rate: 83 % Representativeness: not reported | Int: clinical practice guideline promotion, development of local stroke champions, continuing education, telephone support for treatment decision, academic detailing, audit and feedback C: usual practices | tPA rate: denominator = ischemic stroke Service delivery: 1. Adherence to tPA guidelines Patient outcome: 1. Safety data from proportion of patients (2.2 %), with reported haemorrhage | Intention-to-treat (ITT) and target population (without one pair that was excluded after randomisation) Generalised linear mixed model: assumed intra-hospital correlation between tPA rates at pre- and post- intervention periods | tPA rate: ITT: Int (pre and post), 1.25 and 2.79 %; C (n = 1; pre and post), 1.25 and 2.10 %. Int vs C, p = NS. Target analysis: Int (pre and post), 1.0 and 2.62 %; C (pre and post),1.09 and 1.72 %. Int vs C, RR = 1.68 [1.09–2.57], p = 0.02 Service delivery: 1. NS difference between groups Patient outcome: 1. NS difference between groups |
Theiss et al. 2013 [40], Germany CBA Comprehensive stroke centres, and primary care hospitals | Hospitals 2006–2009 | Unit of analysis: hospital Concealed allocation: no Blinded: not reported Allocation to condition: hospitals matched on beds, distance from closest hub site and departments of internal medicine | Hospitals: not reported No study hospitals had specialised stroke care prior to study start | Hospitals: n = 15 Response rate: not reported. Representativeness: not reported | Int: tele-consultation service. Consisted of hub (n = 5) and spoke (n = 5) sites C: usual practices | tPA rate denominator: all stroke Service delivery: none assessed Patient outcome: 1. Intracerebral haemorrhage 2. Mortality | Mean and SEM: for descriptive data Student t and Fisher exact tests: longitudinal and pairwise comparisons, pooled ischemic stroke mortality | tPA rate: Hub sites: (pooled) increased 4.2 to 7.7 % (p < 0.0001); Spoke sites: (pooled) increased 1.1 to 5.9 % (p < 0.0001); C: (one hospital only) increased 0.8 to 5.7 % (p = 0 . 03). Patient outcome: 1. NS 2. Significant decreases in spoke site only (10.3 to 7.3 %, p = 0.03) |
Discussion
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Could a comprehensive intervention approach, encompassing the range of strategies represented in the reviewed studies, achieve a more substantial increase in IV tPA rates than that found to date? If so, what is the cost-benefit?
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Could a more streamlined quality improvement approach be identified, using a subset of elements? This may require comprehensive and systematic approaches to study the implementation of prior and future multi-component interventions, followed by trials using a subset of “best-bet” strategies.