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

Cancer Survival Analysis01:21

Cancer Survival Analysis

456
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...
456
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

540
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
540
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

292
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...
292
Hazard Ratio01:12

Hazard Ratio

257
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...
257

You might also read

Related Articles

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

Sort by
Same author

Predictors of Breast Cancer Screening Variability Among National Breast and Cervical Cancer Early Detection Program Awardees: Provider Shortages and Nurse Practitioner Autonomy.

Public health reports (Washington, D.C. : 1974)·2026
Same author

Humoral and functional SARS-CoV-2-specific T-cell responses elicited in chronic lymphocytic leukaemia patients with GEO-CM04S1 a synthetic MVA-vectored COVID-19 vaccine.

British journal of haematology·2025
Same author

Representation of Rural Older Adults in AI for Health Research: Systematic Literature Review.

JMIR human factors·2025
Same author

The National Dementia Workforce Study: Development of Questionnaires for Home Care, Assisted Living, and Nursing Home Settings.

Journal of the American Geriatrics Society·2025
Same author

Video and Telephone Telehealth Use and Web-Based Patient Portal Activation Among Rural-Dwelling Patients: Retrospective Medical Record Review and Policy Implications.

Journal of medical Internet research·2025
Same author

Efficacy, immunogenicity, and safety of a next-generation mRNA-1283 COVID-19 vaccine compared with the mRNA-1273 vaccine (NextCOVE): results from a phase 3, randomised, observer-blind, active-controlled trial.

The Lancet. Infectious diseases·2025

Related Experiment Video

Updated: Sep 15, 2025

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

200

Workload and Staffing Study of Hospital Cancer Registries.

Susan A Chapman1, Laurie Hailer1, Jacqueline Miller1

  • 1University of California San Francisco, San Francisco, California.

Journal of Registry Management
|July 14, 2025
PubMed
Summary

Hospital cancer registries face staffing challenges despite increased budgeted positions. Findings reveal a need for more full-time equivalents (FTEs) and updated training to meet growing caseloads and prevent burnout.

Keywords:
cancer registrar professionhospital cancer registrystaffingworkload

More Related Videos

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

380
Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research
11:18

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research

Published on: January 22, 2011

16.2K

Related Experiment Videos

Last Updated: Sep 15, 2025

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

200
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

380
Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research
11:18

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research

Published on: January 22, 2011

16.2K

Area of Science:

  • Health Services Research
  • Cancer Registry Management
  • Workforce Studies

Background:

  • Previous studies established workload and staffing guidelines for hospital cancer registries.
  • The landscape of cancer registry operations and workforce needs has evolved since prior research.

Purpose of the Study:

  • To update workload and staffing guidelines for hospital cancer registries.
  • To assess current staffing levels, identify workforce challenges, and project future needs.

Main Methods:

  • An online survey was distributed to hospital registry leads and cancer registry staff.
  • Postsurvey interviews were conducted with 11 subject matter experts.
  • Data from 237 registry lead surveys and 290 cancer registrar surveys were analyzed.

Main Results:

  • Budgeted full-time equivalents (FTEs) increased by 22% from 2019 to 2022, but filled FTEs slightly decreased.
  • Nearly half of registry staff require additional data analysis training; recruitment and compensation are major concerns.
  • Staffing models suggest 1.8-2.1 FTEs per 1,000 cases for single-institution registries and 1.6-1.9 FTEs for multi-institution registries.

Conclusions:

  • Cancer registry workforce faces significant challenges including vacancies, burnout, and retention issues, driven by low compensation and lack of recognition.
  • Technological advancements will reshape, not replace, the registrar role, potentially creating specialized positions in data analytics and real-time reporting.
  • Updated staffing models and a focus on professional development are crucial for the sustainability and future of the cancer registry workforce.