Prediction tools, models and risk score systems used by clinical pharmacists in the acute hospital setting to identify elderly patients most likely to experience drug related problems and/or benefit from hospital pharmacist intervention: a systematic review of the literature

Amanda Brady; Zahraa Jalal; Christopher Curtis

Prediction tools, models and risk score systems used by clinical pharmacists in the acute hospital setting to identify elderly patients most likely to experience drug related problems and/or benefit from hospital pharmacist intervention: a systematic review of the literature

Amanda Brady
, Zahraa Jalal
, Christopher Curtis

Research output: Other contribution

Original language	English
Type	systematic review protocol registration
Media of output	Prospero
Publication status	Published - 8 Apr 2019

Cite this

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title = "Prediction tools, models and risk score systems used by clinical pharmacists in the acute hospital setting to identify elderly patients most likely to experience drug related problems and/or benefit from hospital pharmacist intervention: a systematic review of the literature",

author = "Amanda Brady and Zahraa Jalal and Christopher Curtis",

year = "2019",

month = apr,

day = "8",

language = "English",

type = "Other",

}

Prediction tools, models and risk score systems used by clinical pharmacists in the acute hospital setting to identify elderly patients most likely to experience drug related problems and/or benefit from hospital pharmacist intervention: a systematic review of the literature. / Brady, Amanda; Jalal, Zahraa; Curtis, Christopher.
2019, systematic review protocol registration.

Research output: Other contribution

TY - GEN

T1 - Prediction tools, models and risk score systems used by clinical pharmacists in the acute hospital setting to identify elderly patients most likely to experience drug related problems and/or benefit from hospital pharmacist intervention: a systematic review of the literature

AU - Brady, Amanda

AU - Jalal, Zahraa

AU - Curtis, Christopher

PY - 2019/4/8

Y1 - 2019/4/8

M3 - Other contribution

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