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Michael John Leathley

University of Central Lancashire

71

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1873

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Terms used to describe key symptoms in out-of-hospital cardiac arrest by people calling 999 emergency medical services: a qualitative analysis of call recordings to two UK ambulance services

2017 Emergency Medicine Journal
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Improving Cardiac Arrest Recognition and Effectiveness (ICARE)

2016
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Parallel-Serial Memoing A Novel Approach to Analyzing Qualitative Data

2016 Qualitative Health Research
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Identifying Continence OptioNs after Stroke (ICONS): an evidence synthesis, case study and exploratory cluster randomised controlled trial of the introduction of a systematic voiding programme for patients with urinary incontinence after stroke in secondary care

2015
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Patient, public and carer involvement

2015
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Assessing fidelity to treatment delivery in the ICONS (Identifying Continence OptioNs after Stroke) cluster randomised feasibility trial

2015 BMC Medical Research Methodology
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Determining the sample size for a cluster-randomised trial: Bayesian hierarchical modelling of the ICC estimate

2015 Trials
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Evaluating a systematic voiding programme for patients with urinary incontinence after stroke in secondary care using soft systems analysis and Normalisation Process Theory: Findings from the ICONS case study phase

2014 International Journal of Nursing Studies
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“Can you send an ambulance please?”: a comparison of callers’ requests for emergency medical dispatch in non-stroke and stroke calls

2014 Emergency Medicine Journal
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Abstract WP402: Randomised Controlled Trial Of Motivational Interviewing Early After Acute Stroke - The Effect Of Using Different Cut-Points For Mood

2013 Stroke
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