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

Data Reporting and Recording01:24

Data Reporting and Recording

5.6K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
5.6K
Regression Toward the Mean01:52

Regression Toward the Mean

7.3K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
7.3K
Errors occurring during blood pressure monitoring01:25

Errors occurring during blood pressure monitoring

1.8K
Blood pressure monitoring is a crucial clinical procedure in diagnosing and managing various cardiovascular conditions. Despite its significance, the accuracy of blood pressure measurements can be compromised by multiple factors, potentially leading to either falsely high or low readings. These inaccuracies are critical as they can significantly impact patient care. So, it is vital to understand these challenges deeply and adopt strategic approaches to minimize errors.
Several factors...
1.8K
Guidelines For Measuring Vital Signs01:19

Guidelines For Measuring Vital Signs

3.2K
Following these guidelines can help nurses accurately measure vital signs, assess changes in patient conditions, and provide timely treatment when necessary. Adhering closely to the guidelines ensures the accuracy and reliability of the results.
Before taking a patient's vital signs, a nurse would consider and assess the patient's comfort level and ensure appropriate equipment is available.
3.2K
Variability: Analysis01:11

Variability: Analysis

621
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
621
Introduction to Documentation and Reporting01:20

Introduction to Documentation and Reporting

3.5K
Documentation is the systematic process of formally recording, maintaining, and communicating information.
Nursing documentation records essential information and details regarding a patient's care and treatment in written or electronic form. It is a critical aspect of nursing practice that involves documenting assessments, interventions, outcomes, and other relevant details about a patient's health status.
Documentation maps the patient's health journey by creating a comprehensive...
3.5K

You might also read

Related Articles

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

Sort by
Same author

Expanding Horizons: The Vanderbilt Plastic Surgery Annual Lecture Series.

Annals of plastic surgery·2026
Same author

Epidemiology and Outcomes of Burn Injuries: A Retrospective Study at a Tertiary Care Center.

Annals of plastic surgery·2026
Same author

Platelet Drp1 phosphorylation provides a platform for immune-based platelet function testing.

Blood·2026
Same author

Real-World Treatment Patterns and Survival in Patients with <i>ROS1</i>-Positive Advanced Non-Small Cell Lung Cancer in Canada and Europe.

Current oncology (Toronto, Ont.)·2026
Same author

Impact of low-crude protein and insoluble fiber diets on post-weaning diarrhea, growth performance, intestinal morphology, and gene expression for nursery pigs with natural rotavirus and subject to enterotoxigenic <i>Escherichia coli</i> F18+ experimental infection.

Translational animal science·2026
Same author

Pedicled Osseous Reconstruction of Orbital Floor Defects Post-Total Maxillectomy.

Journal of maxillofacial and oral surgery·2025

Related Experiment Video

Updated: Mar 24, 2026

Author Spotlight: Assessing the Reliability of Doppler Ultrasound in Measuring Leg Blood Flow
09:18

Author Spotlight: Assessing the Reliability of Doppler Ultrasound in Measuring Leg Blood Flow

Published on: December 15, 2023

3.6K

Consistency between Self-Reported and Recorded Values for Clinical Measures.

Joseph Thomas1, Mindy Paulet2, Jigar R Rajpura3

  • 1Purdue University, College of Pharmacy and Regenstrief Center for Healthcare Engineering, Center for Health Outcomes Research and Policy, Robert Heine Pharmacy Building, Room 502A, 575 Stadium Mall Drive, West Lafayette, IN 47907-2091, USA.

Cardiology Research and Practice
|March 5, 2016
PubMed
Summary

Self-reported clinical measures like blood pressure and glucose show high consistency with recorded values. This suggests self-reported data is reliable for health assessments.

More Related Videos

Author Spotlight: Self-Assessment Protocol for Predicting Psoriatic Arthritis in Psoriasis Patients
02:28

Author Spotlight: Self-Assessment Protocol for Predicting Psoriatic Arthritis in Psoriasis Patients

Published on: March 1, 2024

1.0K
Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population
09:02

Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population

Published on: January 31, 2025

1.8K

Related Experiment Videos

Last Updated: Mar 24, 2026

Author Spotlight: Assessing the Reliability of Doppler Ultrasound in Measuring Leg Blood Flow
09:18

Author Spotlight: Assessing the Reliability of Doppler Ultrasound in Measuring Leg Blood Flow

Published on: December 15, 2023

3.6K
Author Spotlight: Self-Assessment Protocol for Predicting Psoriatic Arthritis in Psoriasis Patients
02:28

Author Spotlight: Self-Assessment Protocol for Predicting Psoriatic Arthritis in Psoriasis Patients

Published on: March 1, 2024

1.0K
Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population
09:02

Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population

Published on: January 31, 2025

1.8K

Area of Science:

  • Health Informatics
  • Clinical Measurement
  • Biostatistics

Background:

  • Accurate clinical measurements are crucial for effective health management.
  • Self-reported health data is often used in large-scale health assessments.
  • Understanding the reliability of self-reported data is essential for data interpretation.

Purpose of the Study:

  • To assess the consistency between self-reported clinical values and practitioner-recorded measurements.
  • To evaluate the reliability of self-reported data for key health indicators.

Main Methods:

  • Collected self-reported data for systolic blood pressure, diastolic blood pressure, glucose, height, weight, and cholesterol.
  • Obtained practitioner-recorded values from health screenings for comparison.
  • Utilized bivariate Pearson correlation and descriptive statistics to analyze data consistency.

Main Results:

  • High correlations (r > 0.89) were found for all measured clinical values.
  • Systolic and diastolic blood pressure, glucose, cholesterol, and BMI demonstrated excellent agreement.
  • Weight and height also showed strong consistency between self-reported and recorded values.

Conclusions:

  • Self-reported clinical values demonstrate good consistency with practitioner-recorded data.
  • The findings support the utility of self-reported data in health assessments.
  • Reliability of self-reported clinical measures is confirmed for key health indicators.