Generating translatable evidence to improve patient care: the contribution of human factors

Masoud A.M. Afnan; Khalid Saeed Khan; Ben Willem Mol

doi:10.1016/j.rbmo.2020.04.025

Generating translatable evidence to improve patient care: the contribution of human factors

Masoud A.M. Afnan^*, Khalid Saeed Khan, Ben Willem Mol

^*Corresponding author for this work

Research output: Contribution to journal › Comment/debate › peer-review

5 Citations (Scopus)

Abstract

Generating translatable evidence to improve patient care has proved challenging in reproductive medicine, with many ‘add-on’ treatments in routine assisted conception clinical practice that have not been reliably tested. This has consequences for patient care; specifically, IVF pregnancy rates have not improved. A change of culture is required in our profession, from indiscriminately applying the latest ‘add-on’ to large-scale participation in generating reliable translatable evidence.

Original language	English
Pages (from-to)	353-356
Number of pages	4
Journal	Reproductive Biomedicine Online
Volume	41
Issue number	3
Early online date	8 May 2020
DOIs	https://doi.org/10.1016/j.rbmo.2020.04.025
Publication status	Published - Sept 2020

Bibliographical note

Keywords

Big data
Human factors
RCT
Translational evidence
WOMEN
FROZEN EMBRYOS
FRESH

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.rbmo.2020.04.025Licence: Unspecified

Cite this

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title = "Generating translatable evidence to improve patient care: the contribution of human factors",

abstract = "Generating translatable evidence to improve patient care has proved challenging in reproductive medicine, with many {\textquoteleft}add-on{\textquoteright} treatments in routine assisted conception clinical practice that have not been reliably tested. This has consequences for patient care; specifically, IVF pregnancy rates have not improved. A change of culture is required in our profession, from indiscriminately applying the latest {\textquoteleft}add-on{\textquoteright} to large-scale participation in generating reliable translatable evidence.",

keywords = "Big data, Human factors, RCT, Translational evidence, WOMEN, FROZEN EMBRYOS, FRESH",

author = "Afnan, {Masoud A.M.} and Khan, {Khalid Saeed} and Mol, {Ben Willem}",

year = "2020",

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AU - Afnan, Masoud A.M.

AU - Khan, Khalid Saeed

AU - Mol, Ben Willem

PY - 2020/9

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N2 - Generating translatable evidence to improve patient care has proved challenging in reproductive medicine, with many ‘add-on’ treatments in routine assisted conception clinical practice that have not been reliably tested. This has consequences for patient care; specifically, IVF pregnancy rates have not improved. A change of culture is required in our profession, from indiscriminately applying the latest ‘add-on’ to large-scale participation in generating reliable translatable evidence.

AB - Generating translatable evidence to improve patient care has proved challenging in reproductive medicine, with many ‘add-on’ treatments in routine assisted conception clinical practice that have not been reliably tested. This has consequences for patient care; specifically, IVF pregnancy rates have not improved. A change of culture is required in our profession, from indiscriminately applying the latest ‘add-on’ to large-scale participation in generating reliable translatable evidence.

KW - Big data

KW - Human factors

KW - RCT

KW - Translational evidence

KW - WOMEN

KW - FROZEN EMBRYOS

KW - FRESH

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DO - 10.1016/j.rbmo.2020.04.025

M3 - Comment/debate

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SP - 353

EP - 356

JO - Reproductive Biomedicine Online

JF - Reproductive Biomedicine Online

IS - 3

ER -

Generating translatable evidence to improve patient care: the contribution of human factors

Abstract

Bibliographical note

Keywords

UN SDGs

Access to Document

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Cite this