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Related Concept Videos

Diagnostic and Statistical Manual of Mental Disorders (DSM)01:27

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The Diagnostic and Statistical Manual of Mental Disorders (DSM) serves as the primary classification system for mental health disorders, providing standardized diagnostic criteria for clinicians and researchers. First published by the American Psychiatric Association (APA) in 1952, the DSM has undergone several revisions to reflect evolving psychiatric understanding. The fifth edition, DSM-5, released in 2013, introduced key updates that expanded diagnostic categories and modified diagnostic...
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Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
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Nursing diagnoses represent a problem validated by major defining characteristics. There are four categories of nursing diagnoses: problem-focused, risk, health promotion or wellness, and syndrome. The anatomy of a nursing diagnosis includes three components: problem statement or diagnostic label, defining characteristics, and related factors.
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Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
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Following assessment, a nursing diagnosis is the next step in the nursing process. It begins after the nurse has collected and recorded the patient data. The purpose of diagnosing is to identify how the client responds to actual or potential health processes, identify factors that bestow or that cause health problems, the etiologies, and identify resources or strengths the individual, group, or community can draw on to prevent or resolve problems.
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Related Experiment Video

Updated: Jul 17, 2025

Use of a Psychophysiological Script-driven Imagery Experiment to Study Trauma-related Dissociation in Borderline Personality Disorder
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Differences in eConsent among diagnosis groups.

Deborah Profit1, William Carson1, Leonard Chuck2

  • 1Otsuka Pharmaceutical Development & Commercialization, Inc., 508 Carnegie Center Dr., Princeton, NJ, USA.

Contemporary Clinical Trials Communications
|September 6, 2023
PubMed
Summary

Electronic informed consent (eConsent) shows varied patient engagement across diagnoses. Understanding these differences can personalize the clinical trial process for better participant comprehension.

Keywords:
Clinical trialConsentInformed consentPatient centricityeConsent

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Area of Science:

  • Clinical Trials
  • Informed Consent
  • Patient Engagement

Background:

  • Electronic informed consent (eConsent) offers potential benefits for participant understanding in clinical trials.
  • Despite advantages, the adoption of eConsent has been limited.
  • Variations in eConsent usage and effectiveness across different patient populations are not well understood.

Purpose of the Study:

  • To analyze eConsent data from 27 clinical trials.
  • To investigate differences in the electronic informed consent process among various diagnosis groups.
  • To identify how patient diagnoses influence engagement and understanding during clinical trial consent.

Main Methods:

  • Analysis of eConsent data, including video interaction, engagement metrics, and knowledge check scores.
  • Comparison of consenting process metrics across distinct patient diagnosis groups.
  • Statistical evaluation of time spent on instructional videos and engagement levels.

Main Results:

  • Participants with bipolar disorder viewed instructional videos for shorter durations compared to those with schizophrenia.
  • Patients with schizophrenia exhibited the highest engagement, while those with autosomal dominant polycystic kidney disease (ADPKD) showed the lowest.
  • Participants diagnosed with attention deficit hyperactivity disorder (ADHD) achieved significantly lower scores on knowledge checks.

Conclusions:

  • eConsent data reveals significant differences in participant engagement and understanding based on diagnosis.
  • These insights are crucial for developing a more patient-centric eConsent design.
  • Tailoring the eConsent experience to specific patient needs can enhance comprehension and adherence in clinical trials.