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

Cluster Sampling Method01:20

Cluster Sampling Method

11.7K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
11.7K
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

156
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...
156
Cancer Survival Analysis01:21

Cancer Survival Analysis

329
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
329
Sampling Plans01:23

Sampling Plans

169
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
169
Hazard Ratio01:12

Hazard Ratio

91
The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial...
91
Wilcoxon Signed-Ranks Test for Median of Single Population01:14

Wilcoxon Signed-Ranks Test for Median of Single Population

102
The Wilcoxon signed-rank test for the median of a single population is a nonparametric test used to evaluate whether the median of a population differs from a specified value. Unlike parametric tests, it does not require data to follow a normal distribution, making it suitable for non-normal or small samples. The test begins by calculating the difference (d) between each observation and the hypothesized median. The absolute values of these differences are ranked in ascending order, with ties...
102

You might also read

Related Articles

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

Sort by
Same author

To dig oneself into a hole or to dig the tunnel to the core? A study on the Swartz sheath support strategy for patent foramen ovale closure in migraine patients.

Journal of translational internal medicine·2026
Same author

Neohesperidin Regulates Lipid Metabolism and Ameliorates MASLD by Targeting ECHS1.

Phytotherapy research : PTR·2026
Same author

Corrigendum to "First-in-human study of the K-Clip™ transcatheter annular repair system for severe functional tricuspid regurgitation" [International Journal of Cardiology 390(2023) / IJCA 131174].

International journal of cardiology·2026
Same author

Health care utilization in veterans with Alzheimer disease.

The American journal of managed care·2026
Same author

When Testing AI Tests Us: Safeguarding Mental Health on the Digital Frontlines.

Proceedings of the ... Conference on Fairness, Accountability, and Transparency·2026
Same author

Natural bioactive sericin-based hydrogel dressing for visual pH monitoring and infected wound therapy.

International journal of biological macromolecules·2026
Same journal

Impact of Health Insurance Coverage on Diabetes Care Quality: A Systematic Review and Meta-analysis of Racial, Ethnic, and Gender Disparities in U.S. Adults with Type 2 Diabetes.

Journal of general internal medicine·2026
Same journal

Assessment of Physician Advocacy Engagement: A Scoping Review and Proposal of an Assessment Tool.

Journal of general internal medicine·2026
Same journal

Relative Burden of Social Determinants of Health on Diverse Populations of Health Resources and Services Administration Health Centers.

Journal of general internal medicine·2026
Same journal

Addressing Moral Distress Among Gender-Affirming Healthcare Professionals.

Journal of general internal medicine·2026
Same journal

Trainee-Led Patient Education to Increase Advance Care Planning in a Geriatric Primary Care Clinic.

Journal of general internal medicine·2026
Same journal

Scholarly Outcomes of a Small Projects Grant Program.

Journal of general internal medicine·2026
See all related articles

Related Experiment Video

Updated: Jun 11, 2025

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.6K

Identifying Veterans with a Higher Risk of Social Needs Using Cluster Analysis.

Hannah Friedman1, Mingfei Li2,3, Kimberly L Harvey4

  • 1Center for Healthcare Organization and Implementation Research (CHOIR), VA Boston Healthcare System, Boston, MA, USA. Hannah.friedman2@va.gov.

Journal of General Internal Medicine
|October 7, 2024
PubMed
Summary
This summary is machine-generated.

A cluster of Veterans, younger with higher proportions of women and minorities, faces increased risk for unmet social needs, particularly utility needs. This finding aids targeted social needs screening efforts.

More Related Videos

Polar Histogram Visualization of Acute Stress Disorder Scale Scores for Comprehensive Clinical Assessment
08:25

Polar Histogram Visualization of Acute Stress Disorder Scale Scores for Comprehensive Clinical Assessment

Published on: December 6, 2024

317
Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.4K

Related Experiment Videos

Last Updated: Jun 11, 2025

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.6K
Polar Histogram Visualization of Acute Stress Disorder Scale Scores for Comprehensive Clinical Assessment
08:25

Polar Histogram Visualization of Acute Stress Disorder Scale Scores for Comprehensive Clinical Assessment

Published on: December 6, 2024

317
Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.4K

Area of Science:

  • Public Health
  • Health Services Research
  • Social Determinants of Health

Background:

  • Social needs screening is crucial for population health and reducing disparities.
  • Barriers to effective social needs screening persist.
  • Administrative data can identify at-risk patient populations for targeted interventions.

Purpose of the Study:

  • To demonstrate cluster analysis for identifying patient segments at risk for social needs.
  • To inform targeted social needs screening and referral strategies.

Main Methods:

  • Clustering analysis of 2010 Veterans based on demographics, health, and healthcare utilization variables.
  • Survey assessed nine types of social needs.
  • Weighted logistic regression analyzed the association between identified clusters and social needs risk.

Main Results:

  • A distinct Veteran population segment was identified through cluster analysis.
  • This segment, characterized by younger age, more women, and racial minorities, showed a higher risk of experiencing one or more unmet social needs (OR 1.74).
  • This group also had a significantly higher risk for utility needs (OR 3.78).

Conclusions:

  • Identifying characteristics of populations with unmet social needs enables targeted screening.
  • The identified cluster, younger and with fewer comorbidities, may be overlooked by traditional healthcare interactions.
  • This highlights the need for proactive, data-driven approaches to social needs assessment.