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

A guide to assessing decision-making capacity.

Roger C Jones1, Timothy Holden

  • 1Director Internal Medicine Residency Program, Department of Internal Medicine, University of Tennessee College of Medicine-Chattanooga Unit, 37403, USA. jonesrc@erlanger.org

Cleveland Clinic Journal of Medicine
|January 12, 2005
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

Application of Spectral Domain Optical Coherence Tomography To Guide Cochlear Implant Electrode Array.

bioRxiv : the preprint server for biology·2025
Same author

Perioperative outcomes of the Geriatric Assessment and Medical Preoperative Screening (GrAMPS) program pilot for older hernia patients: does chronological age predict outcomes?

Surgical endoscopy·2021
Same author

Chronological age does not predict postoperative outcomes following transversus abdominis release (TAR).

Surgical endoscopy·2021
Same author

Age-Related Risk Factors in Ventral Hernia Repairs: A Review and Call to Action.

The Journal of surgical research·2021
Same author

A Practical Guideline for the Implementation of Shared Decision-making in Complex Ventral Incisional Hernia Repair.

The Journal of surgical research·2020
Same author

Temporal Trends in Postmastectomy Radiation Therapy and Breast Reconstruction Associated With Changes in National Comprehensive Cancer Network Guidelines.

JAMA oncology·2015

Assessing patient decision-making capacity is complex. A proposed algorithm evaluates understanding, information processing, and decision stability, offering a structured approach despite implementation challenges.

Area of Science:

  • Medical Ethics
  • Clinical Decision-Making
  • Patient Autonomy

Background:

  • Determining patient decision-making capacity is a significant clinical challenge.
  • Physicians often face difficulties in accurately assessing a patient's ability to make informed healthcare choices.
  • Existing methods for capacity assessment can be inconsistent or insufficient.

Purpose of the Study:

  • To present and analyze an algorithm for assessing patient decision-making capacity.
  • To evaluate the utility of the Miller and Marin algorithm in clinical practice.
  • To identify the strengths and limitations of this structured approach to capacity assessment.

Main Methods:

  • The study illustrates an algorithm developed by Miller and Marin.
  • The algorithm assesses three key components: understanding of condition, information processing ability, and decision stability.

Related Experiment Videos

  • The approach aims to provide a systematic framework for capacity evaluation.

    • Main Results:

    • The Miller and Marin algorithm offers a structured method for assessing decision-making capacity.
    • This algorithm represents an improvement over previous assessment approaches.
    • Potential limitations and implementation issues associated with the algorithm were identified.

    Conclusions:

    • The presented algorithm provides a valuable tool for evaluating patient capacity.
    • While an improvement, the algorithm's practical application requires careful consideration of its limitations.
    • Further refinement and validation may be necessary for optimal implementation in diverse clinical settings.