Bayesian cohort and cross-sectional analyses of the PINCER trial: a pharmacist-led intervention to reduce medication errors in primary care

Karla Hemming; Peter J Chilton; Richard J Lilford; Anthony Avery; Aziz Sheikh

doi:10.1371/journal.pone.0038306

Bayesian cohort and cross-sectional analyses of the PINCER trial: a pharmacist-led intervention to reduce medication errors in primary care

Karla Hemming, Peter J Chilton, Richard J Lilford, Anthony Avery, Aziz Sheikh

Research output: Contribution to journal › Article › peer-review

10 Citations (Scopus)

Abstract

Medication errors are an important source of potentially preventable morbidity and mortality. The PINCER study, a cluster randomised controlled trial, is one of the world's first experimental studies aiming to reduce the risk of such medication related potential for harm in general practice. Bayesian analyses can improve the clinical interpretability of trial findings.

Original language	English
Pages (from-to)	e38306
Journal	PLoS ONE
Volume	7
Issue number	6
DOIs	https://doi.org/10.1371/journal.pone.0038306
Publication status	Published - 2012

Keywords

Cross-Sectional Studies
Randomized Controlled Trials as Topic
Drug Therapy
Humans
Cohort Studies
Bayes Theorem
Primary Health Care
Outcome Assessment (Health Care)
Pharmacists
Medication Errors

Access to Document

10.1371/journal.pone.0038306

Cite this

@article{657b79dfe86c41da8a3242b123d79ca5,

title = "Bayesian cohort and cross-sectional analyses of the PINCER trial: a pharmacist-led intervention to reduce medication errors in primary care",

abstract = "Medication errors are an important source of potentially preventable morbidity and mortality. The PINCER study, a cluster randomised controlled trial, is one of the world's first experimental studies aiming to reduce the risk of such medication related potential for harm in general practice. Bayesian analyses can improve the clinical interpretability of trial findings.",

keywords = "Cross-Sectional Studies, Randomized Controlled Trials as Topic, Drug Therapy, Humans, Cohort Studies, Bayes Theorem, Primary Health Care, Outcome Assessment (Health Care), Pharmacists, Medication Errors",

author = "Karla Hemming and Chilton, {Peter J} and Lilford, {Richard J} and Anthony Avery and Aziz Sheikh",

year = "2012",

doi = "10.1371/journal.pone.0038306",

language = "English",

volume = "7",

pages = "e38306",

journal = "PLoS ONE",

issn = "1932-6203",

publisher = "Public Library of Science (PLOS)",

number = "6",

}

TY - JOUR

T1 - Bayesian cohort and cross-sectional analyses of the PINCER trial

T2 - a pharmacist-led intervention to reduce medication errors in primary care

AU - Hemming, Karla

AU - Chilton, Peter J

AU - Lilford, Richard J

AU - Avery, Anthony

AU - Sheikh, Aziz

PY - 2012

Y1 - 2012

N2 - Medication errors are an important source of potentially preventable morbidity and mortality. The PINCER study, a cluster randomised controlled trial, is one of the world's first experimental studies aiming to reduce the risk of such medication related potential for harm in general practice. Bayesian analyses can improve the clinical interpretability of trial findings.

AB - Medication errors are an important source of potentially preventable morbidity and mortality. The PINCER study, a cluster randomised controlled trial, is one of the world's first experimental studies aiming to reduce the risk of such medication related potential for harm in general practice. Bayesian analyses can improve the clinical interpretability of trial findings.

KW - Cross-Sectional Studies

KW - Randomized Controlled Trials as Topic

KW - Drug Therapy

KW - Humans

KW - Cohort Studies

KW - Bayes Theorem

KW - Primary Health Care

KW - Outcome Assessment (Health Care)

KW - Pharmacists

KW - Medication Errors

U2 - 10.1371/journal.pone.0038306

DO - 10.1371/journal.pone.0038306

M3 - Article

C2 - 22685559

SN - 1932-6203

VL - 7

SP - e38306

JO - PLoS ONE

JF - PLoS ONE

IS - 6

ER -

Bayesian cohort and cross-sectional analyses of the PINCER trial: a pharmacist-led intervention to reduce medication errors in primary care

Abstract

Keywords

Access to Document

Fingerprint

Cite this