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

Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

146
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...
146
Cancer Survival Analysis01:21

Cancer Survival Analysis

328
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...
328
Actuarial Approach01:20

Actuarial Approach

61
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
61
Barriers to Effective Communication II01:21

Barriers to Effective Communication II

3.6K
The barriers to effective communication also include cultural barriers, semantic barriers, gender barriers, and time constraints.
Cultural barriers:
Differences in values, beliefs, religion, knowledge, and tradition can significantly impact communication. Awareness of nonverbal cues is critical, especially when conversing with a patient from a different culture. What appears appropriate in one culture may be inappropriate in another.
Semantic barriers:
As a result of their tendency to use...
3.6K
Factors Affecting the Risk of Infection01:26

Factors Affecting the Risk of Infection

11.3K
The hosts' susceptibility to infection depends on several factors. The integrity of the skin and mucous membranes helps protect the body against microbial attacks. When the skin is altered, the chance of infection, limb loss, and even death increases.
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
11.3K

You might also read

Related Articles

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

Sort by
Same author

Gender-Sensitive Nursing: An Operationalizing Concept Analysis.

Journal of clinical nursing·2026
Same author

What Is My Role? A Qualitative Study of Labor, Birth, and Postpartum Experiences of Partners.

Nursing & health sciences·2025
Same author

Nursing Students' Behavioral Intentions Toward Medication Safety: A Cross-Sectional Study Based on the Theory of Planned Behavior.

Nursing & health sciences·2025
Same author

Tools for Detecting Ageing in People with Autism Spectrum Disorder: A Scoping Review.

Healthcare (Basel, Switzerland)·2025
Same author

Pertussis Outbreak During 2023 in Gipuzkoa, North Spain.

Vaccines·2024
Same author

Gender differences in unplanned hospital admission: A population-based approach.

Nursing & health sciences·2023

Related Experiment Video

Updated: Jun 3, 2025

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

211

Influence of Patient Gender on In-Hospital Mortality: A Population-Based Cross-Sectional Study.

Nahikari Vizuete-Aldave1, Maider Ugartemendia-Yerobi1, Beatriz Pereda-Goikoetxea1

  • 1Department of Nursing II, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), Donostia-San Sebastián, Gipuzkoa, Spain.

Nursing Open
|January 10, 2025
PubMed
Summary

Gender influences in-hospital mortality risk differently across diseases. Women face higher mortality for circulatory issues, while men have greater risks for neoplasms and nervous system diseases.

More Related Videos

Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

10.1K
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 3, 2025

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

211
Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

10.1K
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
  • Epidemiology
  • Health Services Research

Background:

  • Understanding gender-based disparities in healthcare outcomes is crucial for targeted interventions.
  • In-hospital mortality rates can vary significantly based on demographic factors, including gender.

Purpose of the Study:

  • To analyze the association between gender and in-hospital mortality odds ratios.
  • To investigate gender-specific mortality risks across various diagnostic categories in the Basque Country.

Main Methods:

  • A cross-sectional study design was employed.
  • Admission data from 2016-2018 from all acute care hospitals in the Basque Country were analyzed.
  • Binomial logistic regressions were used to calculate odds ratios for gender and mortality within ICD-10 diagnostic categories.

Main Results:

  • Women exhibited higher in-hospital mortality odds ratios for circulatory system diseases (OR 1.07).
  • Men had increased in-hospital mortality odds ratios for neoplasms, nervous system diseases, genitourinary diseases, endocrine diseases, injuries, and musculoskeletal diseases.
  • Specific odds ratios and p-values were provided for each category, indicating statistically significant differences.

Conclusions:

  • Gender is associated with differential in-hospital mortality risks across various disease categories.
  • Findings highlight the need for gender-sensitive approaches in managing and treating specific conditions to reduce mortality disparities.