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 Concept Videos

Decision Making: P-value Method01:09

Decision Making: P-value Method

7.4K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
7.4K
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

5.9K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
5.9K
Decision Making01:20

Decision Making

1.3K
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
1.3K
The Availability Heuristic01:08

The Availability Heuristic

7.3K
A heuristic is a general problem-solving framework (Tversky & Kahneman, 1974). You can think of these as mental shortcuts that are used to solve problems. Different types of heuristics are used in different types of situations, and the impulse to use a heuristic occurs when one of five conditions is met (Pratkanis, 1989):
7.3K
Ethical Dilemmas II01:30

Ethical Dilemmas II

2.9K
Resolving an ethical dilemma in healthcare involves a systematic approach that considers every aspect of the issue, respecting both the patient's needs and values and the healthcare professional's ethical obligations. Here are potential steps to resolve an ethical dilemma:
2.9K
Methods of Documentation IV: Focus Charting01:26

Methods of Documentation IV: Focus Charting

1.9K
Focus Charting, also known as the focus charting system or "focus documentation," is a systematic documentation approach used in healthcare to organize patient information in medical records.
It typically involves three columns for recording information:
1.9K

You might also read

Related Articles

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

Sort by
Same author

Seeking HELP beyond the pill: Women's perceptions of informed consent for medication abortion: Mixed methods research.

PloS one·2026
Same author

A decision-oriented framework for genomic testing across the prostate cancer continuum.

Cancer genetics·2026
Same author

Encounter tool for Shared Decision Making about Adjuvant Treatment of Lung Cancer: Randomized Clinical Trial.

Research square·2026
Same author

Association Between Glucagon-Like Peptide-1 Receptor Agonists and Suicidality: A Systematic Review.

Diabetes, obesity & metabolism·2026
Same author

Criteria to prioritize clinical practice guideline recommendations for patient decision aid development: results from a modified Delphi consensus study.

Journal of clinical epidemiology·2026
Same author

The burden of shared decision-making: A scoping review of burden assessments in SDM research.

Patient education and counseling·2026
Same journal

Barriers to the assessment of patients' sexuality and sexual health among psychotherapists: A mixed-methods study.

Patient education and counseling·2026
Same journal

Exploring surgical patients' health literacy following the use of a patient safety checklist - A qualitative study.

Patient education and counseling·2026
Same journal

Virga and the future of motivational interviewing: Issues in training counseling skills.

Patient education and counseling·2026
Same journal

Informed choices: Patients' and healthcare professionals' perspectives on high-risk prostate cancer treatment decision-making.

Patient education and counseling·2026
Same journal

Factors influencing patients switching back to physical channels for health consultations.

Patient education and counseling·2026
Same journal

Challenges in advising people with severe mental illness to quit smoking: A conversation analysis of patient resistance.

Patient education and counseling·2026
See all related articles

Related Experiment Video

Updated: Apr 15, 2026

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
06:18

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

Published on: October 20, 2022

2.7K

Assessing Option Grid® practicability and feasibility for facilitating shared decision making: An exploratory study.

Maka Tsulukidze1, Stuart W Grande1, Michael R Gionfriddo1

  • 1The Dartmouth Center for Health Care Delivery Science, Dartmouth College, Hanover, USA.

Patient Education and Counseling
|April 6, 2015
PubMed
Summary
This summary is machine-generated.

Option Grids® can help shared decision making (SDM), but clinicians need training to effectively elicit and integrate patient preferences. Further research is needed to bridge the knowledge-action gap in SDM practice.

Keywords:
Decision aidsDecision support toolsOption Grid(®)Shared decision making

More Related Videos

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
06:28

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

Published on: August 26, 2018

6.4K
Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation
06:53

Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation

Published on: March 1, 2017

14.0K

Related Experiment Videos

Last Updated: Apr 15, 2026

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
06:18

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

Published on: October 20, 2022

2.7K
A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
06:28

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

Published on: August 26, 2018

6.4K
Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation
06:53

Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation

Published on: March 1, 2017

14.0K

Area of Science:

  • Clinical Communication
  • Health Services Research

Background:

  • Shared decision making (SDM) is crucial for patient-centered care.
  • Option Grids® are tools designed to facilitate SDM in clinical practice.

Purpose of the Study:

  • To evaluate the feasibility and practicability of Option Grids® in simulated clinical settings.
  • To explore clinicians' perspectives on using Option Grids® for SDM.

Main Methods:

  • A mixed-methods approach was employed, combining observational analysis of consultations using the Observer OPTION instrument and thematic analysis of clinician interviews.
  • Simulated clinical consultations were used to assess the application of Option Grids®.

Main Results:

  • Clinicians demonstrated high proficiency in information sharing but struggled with preference elicitation and integration during SDM.
  • Identified themes indicated that while Option Grids® can facilitate SDM, barriers to their practicability exist.
  • Clinicians recognized deficits in their SDM practice, highlighting the need for targeted training and feedback.

Conclusions:

  • Clinicians with existing SDM knowledge did not achieve optimal competency in eliciting and integrating patient preferences when using Option Grids®.
  • Further research should investigate the impact of training on Option Grids® utilization and strategies to improve SDM practice.
  • Addressing the gap between SDM knowledge and its application in clinical practice is essential for effective implementation.