Strengths and limitations of healthcare databases in the evaluation of hypoglycaemia

Yoon Kong Loke; Katharina Mattishent

doi:10.1111/dom.12984

Strengths and limitations of healthcare databases in the evaluation of hypoglycaemia

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Abstract

In this issue of DOM, Zaccardi et al. present an analysis of hypoglycaemia-related hospitalizations in the Hospital Episodes Statistics (HES) administrative database of the English National Health Service. [1] Notable strengths of the work include a large sample size involving more than 100 000 cases of hypoglycaemia, and nationwide capture spanning a duration of ten years. Key conclusions include the possibility of a U-shaped relationship between risk of hypoglycaemia and age, as well as possible associations between social deprivation and ethnicity with greater risk of hypoglycaemia.

Original language	English
Pages (from-to)	1337–1338
Journal	Diabetes, Obesity & Metabolism
Volume	19
Issue number	10
Early online date	13 Jul 2017
DOIs	https://doi.org/10.1111/dom.12984
Publication status	Published - Oct 2017

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10.1111/dom.12984

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http://doi.wiley.com/10.1111/dom.12984

Cite this

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title = "Strengths and limitations of healthcare databases in the evaluation of hypoglycaemia",

abstract = "In this issue of DOM, Zaccardi et al. present an analysis of hypoglycaemia-related hospitalizations in the Hospital Episodes Statistics (HES) administrative database of the English National Health Service. [1] Notable strengths of the work include a large sample size involving more than 100 000 cases of hypoglycaemia, and nationwide capture spanning a duration of ten years. Key conclusions include the possibility of a U-shaped relationship between risk of hypoglycaemia and age, as well as possible associations between social deprivation and ethnicity with greater risk of hypoglycaemia.",

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AB - In this issue of DOM, Zaccardi et al. present an analysis of hypoglycaemia-related hospitalizations in the Hospital Episodes Statistics (HES) administrative database of the English National Health Service. [1] Notable strengths of the work include a large sample size involving more than 100 000 cases of hypoglycaemia, and nationwide capture spanning a duration of ten years. Key conclusions include the possibility of a U-shaped relationship between risk of hypoglycaemia and age, as well as possible associations between social deprivation and ethnicity with greater risk of hypoglycaemia.

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