Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

The multi-dimensional measure of informed choice: a validation study.

Susan Michie1, Elizabeth Dormandy, Theresa M Marteau

  • 1Psychology and Genetics Research Group, King's College London, 5th Floor, Thomas Guy House, Guy's Campus, London SE1 9RT, UK.

Patient Education and Counseling
|September 11, 2002
PubMed
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

The changing nature of worry about COVID-19 among the English public: a secondary analysis of 73 national, cross-sectional surveys, January 2020 to April 2022.

BMJ open·2024
Same author

Specifying how intervention content is communicated: Development of a Style of Delivery Ontology.

Wellcome open research·2024
Same author

Trace amine-associated receptor 1 (TAAR1) agonism for psychosis: a living systematic review and meta-analysis of human and non-human data.

Wellcome open research·2024
Same author

Evaluating the Acceptability of the Drink Less App and the National Health Service Alcohol Advice Web Page: Qualitative Interview Process Evaluation.

Journal of medical Internet research·2024
Same author

Do engagement and behavioural mechanisms underpin the effectiveness of the Drink Less app?

NPJ digital medicine·2024
Same author

A data extraction template for the behaviour change intervention ontology.

Wellcome open research·2024

This study validates the Multi-Dimensional Measure of Informed Choice (MMIC) for prenatal screening decisions. The MMIC accurately assesses informed choices, enhancing decision quality for pregnant women undergoing Down syndrome screening.

Area of Science:

  • Medical Sociology
  • Health Psychology
  • Reproductive Health

Background:

  • Informed choice is crucial in prenatal screening decisions.
  • Existing measures may not fully capture the nuances of informed decision-making.
  • Validating tools is essential for accurate assessment in clinical settings.

Purpose of the Study:

  • To evaluate the reliability and validity of the Multi-Dimensional Measure of Informed Choice (MMIC).
  • To assess the psychometric properties of the MMIC in pregnant women undergoing Down syndrome screening.
  • To determine if the MMIC can predict the quality of decisions made.

Main Methods:

  • Prospective study involving 225 pregnant women in the UK receiving low-risk Down syndrome screening results.
  • Administration of the MMIC prior to screening and the Ottawa Decisional Conflict Scale six weeks post-screening.
Keywords:
Empirical ApproachGenetics and ReproductionProfessional Patient Relationship

Related Experiment Videos

  • Internal consistency, predictive validity, and construct (discriminant) validity analyses were performed.

    • Main Results:

    • The MMIC demonstrated good internal consistency for its knowledge and attitude components (alpha values of 0.68 and 0.78).
    • Women categorized as making an informed choice using MMIC reported higher decision quality six weeks later.
    • The MMIC showed predictive validity and construct (discriminant) validity, with no association found with anxiety levels.

    Conclusions:

    • The MMIC is a psychometrically robust tool for assessing informed choice in pregnant women undergoing Down syndrome screening.
    • The findings support the MMIC's reliability and validity in this specific population and context.
    • Further research should explore the MMIC's utility in diverse decision-making scenarios and populations.