Muñoz Venturelli, Paula, Robinson, Thompson, Lavados, Pablo M., Olavarría, Verónica V., Arima, Hisatomi, Billot, Laurent, Hackett, Maree ORCID: 0000-0003-1211-9087, Lim, Joyce Y., Middleton, Sandy et al (2016) Regional variation in acute stroke care organisation. Journal of the Neurological Sciences, 371 . pp. 126-130. ISSN 0022510X
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Official URL: http://dx.doi.org/10.1016/j.jns.2016.10.026
Abstract
Background
Few studies have assessed regional variation in the organisation of stroke services, particularly health care resourcing, presence of protocols and discharge planning. Our aim was to compare stroke care organisation within middle- (MIC) and high-income country (HIC) hospitals participating in the Head Position in Stroke Trial (HeadPoST).
Methods
HeadPoST is an on-going international multicenter crossover cluster-randomized trial of ‘sitting-up’ versus ‘lying-flat’ head positioning in acute stroke. As part of the start-up phase, one stroke care organisation questionnaire was completed at each hospital. The World Bank gross national income per capita criteria were used for classification.
Results
94 hospitals from 9 countries completed the questionnaire, 51 corresponding to MIC and 43 to HIC. Most participating hospitals had a dedicated stroke care unit/ward, with access to diagnostic services and expert stroke physicians, and offering intravenous thrombolysis. There was no difference for the presence of a dedicated multidisciplinary stroke team, although greater access to a broad spectrum of rehabilitation therapists in HIC compared to MIC hospitals was observed. Significantly more patients arrived within a 4-h window of symptoms onset in HIC hospitals (41 vs. 13%; P < 0.001), and a significantly higher proportion of acute ischemic stroke patients received intravenous thrombolysis (10 vs. 5%; P = 0.002) compared to MIC hospitals.
Conclusions
Although all hospitals provided advanced care for people with stroke, differences were found in stroke care organisation and treatment. Future multilevel analyses aims to determine the influence of specific organisational factors on patient outcomes.
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