Search research articles

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

Related Concept Videos

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...

Kaplan-Meier Approach

Kaplan-Meier Approach

The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...

Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis

Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis

The nursing process provides a clinical decision-making framework for patients and families to establish and implement a personalized care plan. Since part of the nurse's duties is to teach patients, the steps of the nursing process are the most effective way to approach instruction. The nursing process and the teaching-learning process are inextricably linked.
It is critical to determine the patient's learning needs during the assessment. Determination of learning needs compounds data from the...

Clinical Trials

Clinical Trials

Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...

Study Designs in Epidemiology

Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.

Data Validation

Data Validation

Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...

You might also read

Related Articles

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

Sort by

Same author

Managing Asthma Well and Sustainably - Patient Perspectives Explored.

Health expectations : an international journal of public participation in health care and health policy·2026

Same author

Cultural adaptation and psychometric validation of the Health Literacy Instrument for Adults with Tuberculosis (HELIA-TB) in India.

PloS one·2026

Same author

Deprescribing in Older People: A Clinical Practice Guideline Summary.

The Medical journal of Australia·2026

Same author

Is young people's mental health worse than in the past?

BMJ (Clinical research ed.)·2026

Same author

Unplanned hospital presentations in oncology patients receiving chemotherapy: a secondary analysis of a randomized controlled trial to explore opportunities for improving supportive care.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer·2026

Same author

Impact of carbon footprint information on inhaler prescribing intentions by general practitioners: protocol for an online factorial randomised experiment.

Respiratory medicine·2026

Search research articles

Related Experiment Video

Updated: May 19, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

A theoretical framework for measuring knowledge in screening decision aid trials.

Sian K Smith¹, Alexandra Barratt, Lyndal Trevena

¹Psychosocial Research Group, Prince of Wales Clinical School, University of New South Wales, Sydney, NSW, Australia. sian.smith@unsw.edu.au

Patient Education and Counseling

|August 9, 2012

Summary

This summary is machine-generated.

A new framework effectively measures knowledge of bowel cancer screening outcomes. Decision aids significantly improved numeric knowledge, while conceptual knowledge increased in all participants.

Related Experiment Videos

Last Updated: May 19, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

Area of Science:

Health Services Research
Health Psychology
Cancer Screening

Background:

Accurate understanding of screening outcomes is crucial for informed decision-making in cancer screening programs.
Existing knowledge measures may not adequately capture nuanced understanding of complex health information, particularly for individuals with lower educational attainment.

Purpose of the Study:

To present a theoretical framework for developing a knowledge assessment tool for faecal occult blood test (FOBT) based bowel cancer screening.
To evaluate the responsiveness of this knowledge measure in a randomized controlled trial comparing a decision aid with an information booklet.

Main Methods:

Developed a knowledge measure based on UK screening guidelines and Fuzzy Trace Theory, assessing conceptual and numeric knowledge.
Administered the measure to 530 adults with low education in a randomized controlled trial.
Compared the impact of a bowel screening decision aid versus a standard information booklet on knowledge acquisition.

Main Results:

The numeric knowledge scale demonstrated significant improvement in the decision aid group compared to controls (P<0.001).
Both conceptual and numeric knowledge scales showed significant improvement from baseline to follow-up across both groups (P<0.001).
The theory-based measure was responsive to changes in both conceptual knowledge and the specific impact of the decision aid on numeric knowledge.

Conclusions:

The developed theoretical framework and resulting knowledge measure are effective in assessing understanding of bowel cancer screening outcomes.
Decision aids show promise in enhancing specific aspects of knowledge, particularly numeric understanding, in screening contexts.
This framework offers a valuable tool for developing and validating knowledge assessments in diverse screening programs.