Impact on Prehospital Delay of a Stroke Preparedness Campaign: A SW-RCT (Stepped-Wedge Cluster Randomized Controlled Trial)

Background and Purpose— Public campaigns to increase stroke preparedness have been tested in different contexts, showing contradictory results. We evaluated the effectiveness of a stroke campaign, designed specifically for the Italian population in reducing prehospital delay. Methods— According to an SW-RCT (Stepped-Wedge Cluster Randomized Controlled Trial) design, the campaign was launched in 4 provinces in the northern part of the region Emilia Romagna at 3-month intervals in randomized sequence. The units of analysis were the patients admitted to hospital, with stroke and transient ischemic attack, over a time period of 15 months, beginning 3 months before the intervention was launched in the first province to allow for baseline data collection. The proportion of early arrivals (within 2 hours of symptom onset) was the primary outcome. Thrombolysis rate and some behavioral end points were the secondary outcomes. Data were analyzed using a fixed-effect model, adjusting for cluster and time trends. Results— We enrolled 1622 patients, 912 exposed and 710 nonexposed to the campaign. The proportion of early access was nonsignificantly lower in exposed patients (354 [38.8%] versus 315 [44.4%]; adjusted odds ratio, 0.81; 95% confidence interval, 0.60–1.08; P=0.15). As for secondary end points, an increase was found for stroke recognition, which approximated but did not reach statistical significance (P=0.07). Conclusions— Our campaign was not effective in reducing prehospital delay. Even if some limitations of the intervention, mainly in terms of duration, are taken into account, our study demonstrates that new communication strategies should be tested before large-scale implementation. Clinical Trial Registration— URL: http://www.clinicaltrials.gov. Unique identifier: NCT01881152.

[1]  M. Taljaard,et al.  Sample size calculations for stepped wedge and cluster randomised trials: a unified approach , 2016, Journal of clinical epidemiology.

[2]  M. Petticrew,et al.  Developing and evaluating complex interventions: the new Medical Research Council guidance , 2008, BMJ : British Medical Journal.

[3]  Bep Boode,et al.  Estimating the Number of Stroke Patients Eligible for Thrombolytic Treatment if Delay Could Be Avoided , 2006, Cerebrovascular Diseases.

[4]  C. McKevitt,et al.  Delay in Presentation After an Acute Stroke in a Multiethnic Population in South London: The South London Stroke Register , 2012, Journal of the American Heart Association.

[5]  J. Cacioppo,et al.  Delay in seeking a cancer diagnosis: delay stages and psychophysiological comparison processes. , 1995, The British journal of social psychology.

[6]  M. Brainin,et al.  Stroke Education: Discrepancies among Factors Influencing Prehospital Delay and Stroke Knowledge , 2010, International journal of stroke : official journal of the International Stroke Society.

[7]  Laura M. Stapleton,et al.  Modeling Clustered Data with Very Few Clusters , 2016, Multivariate behavioral research.

[8]  J. Hughes,et al.  Design and analysis of stepped wedge cluster randomized trials. , 2007, Contemporary clinical trials.

[9]  P. Rothwell,et al.  Sustained impact of UK FAST-test public education on response to stroke: a population-based time-series study , 2015, International journal of stroke : official journal of the International Stroke Society.

[10]  Hilary K. Wall,et al.  Addressing Stroke Signs and Symptoms Through Public Education: The Stroke Heroes Act FAST Campaign , 2008, Preventing chronic disease.

[11]  B. Boden-Albala,et al.  Education strategies for stroke prevention. , 2013, Stroke.

[12]  M. Bell,et al.  Generalized estimating equations in cluster randomized trials with a small number of clusters: Review of practice and simulation study , 2016, Clinical trials.

[13]  M. C. Gibbons,et al.  Methodology for a Community-Based Stroke Preparedness Intervention: The Acute Stroke Program of Interventions Addressing Racial and Ethnic Disparities Study , 2014, Stroke.

[14]  Maria E. Fernandez,et al.  Planning Health Promotion Programs: An Intervention Mapping Approach , 2006 .

[15]  Bruce Guthrie,et al.  Process evaluations for cluster-randomised trials of complex interventions: a proposed framework for design and reporting , 2013, Trials.

[16]  A. Demchuk,et al.  Improving Delivery of Acute Stroke Therapy: The TLL Temple Foundation Stroke Project , 2002, Stroke.

[17]  M. Paik,et al.  A stroke preparedness RCT in a multi-ethnic cohort: design and methods. , 2010, Contemporary clinical trials.

[18]  D. Inzitari,et al.  Effectiveness of public stroke educational interventions: a review , 2014, European journal of neurology.

[19]  M. C. Gibbons,et al.  Understanding Reasons for Delay in Seeking Acute Stroke Care in an Underserved Urban Population , 2011, Stroke.

[20]  Helen Rodgers,et al.  Response to symptoms of stroke in the UK: a systematic review , 2010, BMC health services research.

[21]  C. Merzel,et al.  Reconsidering community-based health promotion: promise, performance, and potential. , 2003, American journal of public health.

[22]  M. A. Safer,et al.  Determinants of Three Stages of Delay in Seeking Care at a Medical Clinic , 1979, Medical care.

[23]  Andrew Cole,et al.  Cancer expert doubts claims about prostate cancer trial , 2008, BMJ : British Medical Journal.

[24]  F. Doyle,et al.  Stroke warning campaigns: delivering better patient outcomes? A systematic review , 2015, Patient related outcome measures.

[25]  Howard Leventhal,et al.  The common-sense model of self-regulation of health and illness. , 2003 .

[26]  R. Thomson,et al.  The impact of the UK ‘Act FAST’ stroke awareness campaign: content analysis of patients, witness and primary care clinicians’ perceptions , 2013, BMC Public Health.

[27]  R J Lilford,et al.  The stepped wedge cluster randomised trial: rationale, design, analysis, and reporting , 2015, BMJ : British Medical Journal.

[28]  S. Willich,et al.  Population-based intervention to reduce prehospital delays in patients with cerebrovascular events. , 2009, Archives of internal medicine.

[29]  S. Johnston,et al.  Why are eligible thrombolysis candidates left untreated? , 2006, American journal of preventive medicine.

[30]  Gerjo Kok,et al.  Finding theory- and evidence-based alternatives to fear appeals: Intervention Mapping , 2013, International journal of psychology : Journal international de psychologie.

[31]  A. J. Jenkinson,et al.  Stroke knowledge and awareness: an integrative review of the evidence. , 2010, Age and ageing.

[32]  G. Piaggio,et al.  Consort 2010 statement: extension to cluster randomised trials , 2012, BMJ : British Medical Journal.

[33]  P. Sandercock,et al.  Effect of treatment delay, age, and stroke severity on the effects of intravenous thrombolysis with alteplase for acute ischaemic stroke: a meta-analysis of individual patient data from randomised trials | NOVA. The University of Newcastle's Digital Repository , 2014 .