Search research articles

Search research articles

Related Experiment Videos

A framework for classifying study designs to evaluate health care interventions.

¹Department of Public Health and Policy, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, Great Britain. barney.reeves@lshtm.ac.uk

Forschende Komplementarmedizin Und Klassische Naturheilkunde = Research in Complementary and Natural Classical Medicine

|September 9, 2004

Summary

This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Peri-operative corticosteroid supplementation for patients on therapeutic glucocorticoids: a national survey.

Anaesthesia·2020

Same author

Randomized trial of near-infrared spectroscopy for personalized optimization of cerebral tissue oxygenation during cardiac surgery.

British journal of anaesthesia·2017

Same author

Adaptation of the By-Band randomized clinical trial to By-Band-Sleeve to include a new intervention and maintain relevance of the study to practice.

The British journal of surgery·2017

Same author

Cost-effectiveness of community versus hospital eye service follow-up for patients with quiescent treated age-related macular degeneration alongside the ECHoES randomised trial.

BMJ open·2016

Same author

Are lower levels of red blood cell transfusion more cost-effective than liberal levels after cardiac surgery? Findings from the TITRe2 randomised controlled trial.

BMJ open·2016

Same author

The design and implementation of a study to investigate the effectiveness of community vs hospital eye service follow-up for patients with neovascular age-related macular degeneration with quiescent disease.

Eye (London, England)·2015

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

This study addresses the complex application of epidemiological study designs to healthcare interventions. It proposes a new framework to clarify study design labels and reduce bias in research evaluation.

Area of Science:

Epidemiology
Health Services Research
Biostatistics

Background:

Epidemiological study designs like cohort and case-control studies are standard for etiological research.
Applying these designs to healthcare interventions is complex, leading to ambiguous nomenclature and inappropriate use of design labels.
Susceptibility to bias (selection, performance, detection, attrition) varies by study design, yet evidence linking design features to bias is limited.

Purpose of the Study:

To propose a novel framework for classifying study designs based on their key features.
To reduce ambiguity in study design labels and improve clarity on how studies are conducted.
To facilitate the gathering of evidence on the relationship between study design features and bias.

Main Methods:

Related Experiment Videos

Development of a classification framework for study designs.

Focus on observable features of study execution rather than just labels.

Analysis of how different design features relate to susceptibility to bias.

Main Results:

A proposed framework for classifying study designs based on practical implementation.
Potential to enhance clarity and reduce misinterpretation of research methodologies.
Lays groundwork for future research into design-specific biases.

Conclusions:

A new framework can standardize the understanding and reporting of study designs in intervention research.
Improved classification can lead to more accurate bias assessment and evidence synthesis.
Further research is needed to validate the framework and its impact on bias estimation.