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Darren M. Ashcroft

Researcher at University of Manchester

Publications -  457
Citations -  16650

Darren M. Ashcroft is an academic researcher from University of Manchester. The author has contributed to research in topics: Population & Medicine. The author has an hindex of 56, co-authored 403 publications receiving 12893 citations. Previous affiliations of Darren M. Ashcroft include Manchester Academic Health Science Centre & National Patient Safety Foundation.

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Global Epidemiology of Psoriasis: A Systematic Review of Incidence and Prevalence

TL;DR: The data indicated that the occurrence of psoriasis varied according to age and geographic region, being more frequent in countries more distant from the equator and trends in incidence over time.
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Hospital Admissions Associated with Adverse Drug Reactions: A Systematic Review of Prospective Observational Studies

TL;DR: Almost 5.3% of hospital admissions were associated with ADRs, and higher rates were found in elderly patients who are likely to be receiving multiple medications for long-term illnesses.
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Causes of Medication Administration Errors in Hospitals: a Systematic Review of Quantitative and Qualitative Evidence

TL;DR: Limited evidence from studies included in this systematic review suggests that MAEs are influenced by multiple systems factors, but if and how these arise and interconnect to lead to errors remains to be fully determined.
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National, regional, and worldwide epidemiology of psoriasis: systematic analysis and modelling study

TL;DR: The estimates provided can help guide countries and the international community when making public health decisions on the appropriate management of psoriasis and assessing its natural history over time.
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Prevalence, incidence and nature of prescribing errors in hospital inpatients: a systematic review.

TL;DR: Overall, it is clear that prescribing errors are a common occurrence, affecting 7% of medication orders, 2% of patient days and 50% of hospital admissions, however, the reported rates of prescribing errors varied greatly and this could be partly explained by variations in the definition of a prescribing error, the methods used to collect error data and the setting of the study.