Research Note: Using effectiveness studies for prescribing research, Part 2

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@article{1d4a722325ce4f768fac1a1d3cb91878,
title = "Research Note: Using effectiveness studies for prescribing research, Part 2",
abstract = "Trials that consider the effects of interventions on prescribing behaviour amongst clinicians often have complex design implications resulting in data that has inherent hierarchical structure. It follows that both experimental design and analysis plans must account for this structure and thus results should be considered in terms of clinician behaviour rather than individual patient response. We describe this change in perspective and the necessity for using statistical techniques that allow incorporation of potential confounding effects. We also discuss the appropriateness of some specific outcomes in relation to these trials.",
keywords = "statistical analysis plan, hierarchical design, study design, implementation study",
author = "Nick Freemantle and Joanne Eastaugh",
year = "2002",
month = dec,
day = "1",
doi = "10.1046/j.1365-2710.2002.00424.x",
language = "English",
volume = "27",
pages = "469--473",
journal = "Journal of Clinical Pharmacy and Therapeutics",
issn = "0269-4727",
publisher = "Wiley",

}

RIS

TY - JOUR

T1 - Research Note: Using effectiveness studies for prescribing research, Part 2

AU - Freemantle, Nick

AU - Eastaugh, Joanne

PY - 2002/12/1

Y1 - 2002/12/1

N2 - Trials that consider the effects of interventions on prescribing behaviour amongst clinicians often have complex design implications resulting in data that has inherent hierarchical structure. It follows that both experimental design and analysis plans must account for this structure and thus results should be considered in terms of clinician behaviour rather than individual patient response. We describe this change in perspective and the necessity for using statistical techniques that allow incorporation of potential confounding effects. We also discuss the appropriateness of some specific outcomes in relation to these trials.

AB - Trials that consider the effects of interventions on prescribing behaviour amongst clinicians often have complex design implications resulting in data that has inherent hierarchical structure. It follows that both experimental design and analysis plans must account for this structure and thus results should be considered in terms of clinician behaviour rather than individual patient response. We describe this change in perspective and the necessity for using statistical techniques that allow incorporation of potential confounding effects. We also discuss the appropriateness of some specific outcomes in relation to these trials.

KW - statistical analysis plan

KW - hierarchical design

KW - study design

KW - implementation study

UR - http://www.scopus.com/inward/record.url?scp=0036454544&partnerID=8YFLogxK

U2 - 10.1046/j.1365-2710.2002.00424.x

DO - 10.1046/j.1365-2710.2002.00424.x

M3 - Article

C2 - 12472988

VL - 27

SP - 469

EP - 473

JO - Journal of Clinical Pharmacy and Therapeutics

JF - Journal of Clinical Pharmacy and Therapeutics

SN - 0269-4727

ER -