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

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 have a...
Methods of Documentation III: PIE01:21

Methods of Documentation III: PIE

Problem-intervention-evaluation (PIE) is a systematic approach to documentation used in healthcare settings for clinical decision-making and patient care planning. It is a structured approach to organizing patient data based on problems, interventions, and evaluations. Here's a breakdown of its key features and considerations:
Heuristics01:21

Heuristics

Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
People often rely on heuristics when faced with an overload of information, limited time, low importance of the decision, limited information, or when a heuristic readily comes to mind. For...
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

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...
Decision Making01:20

Decision Making

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...
Nursing Evaluation01:15

Nursing Evaluation

The evaluation stage signals the end of the nursing process. The nurse gathers evaluative data to assess whether or not the patient has attained the expected results. Whereas the nurse collects data in the nursing assessment to identify the patient's health concerns, the evaluation stage data determines if the indicated health issues are resolved. Evaluative data collection includes two sections: the data acquired to evaluate patient outcomes and the time criteria for data collection.
Section...

You might also read

Related Articles

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

Sort by
Same author

Do Worse than Dead Values Add Relevant Information in (Composite) Time-Tradeoff Valuations?

Medical decision making : an international journal of the Society for Medical Decision Making·2025
Same author

What Makes the Time Tradeoff Tick? A Sociopsychological Explanation.

Medical decision making : an international journal of the Society for Medical Decision Making·2024
Same author

In a Child's Shoes: Composite Time Trade-Off Valuations for EQ-5D-Y-3L with Different Proxy Perspectives.

PharmacoEconomics·2022
Same author

Self-esteem in patients with venous thromboembolism predicts time trade-off values for own health.

Health and quality of life outcomes·2022
Same author

Evaluating the conduct and application of health utility studies: a review of critical appraisal tools and reporting checklists.

The European journal of health economics : HEPAC : health economics in prevention and care·2021
Same author

A Head-On Ordinal Comparison of the Composite Time Trade-Off and the Better-Than-Dead Method.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research·2020
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
Same journal

Alleviating the burden: The impact of interpersonal and digital communication on depressive symptoms in cancer survivors.

Patient education and counseling·2026
See all related articles

Related Experiment Video

Updated: Jul 1, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

Concise evaluation of decision aids.

Peep F M Stalmeier1, Marielle S Roosmalen

  • 1Department of Radiation Oncology, Radboud University Medical Center Nijmegen (PFMS, MSR), Nijmegen, The Netherlands. P.Stalmeier@ebh.umcn.nl

Patient Education and Counseling
|September 9, 2008
PubMed
Summary
This summary is machine-generated.

This study compared instruments for evaluating decision aids in high-risk patients. Single-item measures proved as responsive as multi-item measures for assessing decision aid effectiveness.

More Related Videos

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq
04:54

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq

Published on: March 19, 2021

Related Experiment Videos

Last Updated: Jul 1, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq
04:54

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq

Published on: March 19, 2021

Area of Science:

  • Medical Decision Making
  • Health Services Research
  • Patient Education

Background:

  • Decision aids aim to support patients in making treatment choices.
  • Various instruments are available to evaluate the effectiveness of decision aids.
  • Comparing the responsiveness of these evaluation instruments is crucial.

Purpose of the Study:

  • To compare the responsiveness of different instruments used for evaluating decision aids.
  • To identify which measures are most sensitive to changes induced by decision aids.

Main Methods:

  • Two distinct decision aids were randomized for patients at high risk for breast and ovarian cancer.
  • Treatment options included prophylactic surgery versus screening.
  • Effect sizes were calculated to compare the responsiveness of various evaluation measures.

Main Results:

  • One decision aid was used with 390 women, and another with 91 mutation carriers.
  • Three key factors emerged: Information, Well-being, and Decision Making.
  • Single-item measures demonstrated responsiveness comparable to multi-item measures within these factors.

Conclusions:

  • Four specific single items demonstrated adequate responsiveness: 'amount of information received,' 'strength of preference,' 'weighed pros and cons,' and 'General Health.'
  • These validated single items can be considered for inclusion in future questionnaires evaluating decision aids.
  • This finding simplifies the assessment of decision aid effectiveness without compromising responsiveness.