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Related Concept Videos

Cancer Survival Analysis01:21

Cancer Survival Analysis

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...
Assumptions of Survival Analysis01:15

Assumptions of Survival Analysis

Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
Restorative Care01:19

Restorative Care

Restorative care is provided once a patient has been discharged from a healthcare facility and requires additional services. The additional services include home care, rehabilitation programs, and extended care. Restorative care centers help the patient regain their previous level of functioning or acquire a new level of functioning due to the incapacitating effects of a disease or a disability. It aims to assist patients in enhancing their quality of life by encouraging independence,...
Introduction To Survival Analysis01:18

Introduction To Survival Analysis

Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time until a...
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

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 Cox...
Continuing Care01:25

Continuing Care

Continuing care describes the variety of health, personal, and social services provided over a prolonged period. The need for continuing care is increasing because people are living longer. Many people do not have families or others to care for them. Continuing care is mainly for patients who are disabled, functionally dependent, or suffering from a terminal disease. It is available within institutional settings or in homes. Examples include nursing centers or facilities, assisted living,...

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Related Experiment Videos

Clinical update: survivorship care--models and programs.

Mary S McCabe1, Linda A Jacobs

  • 1Cancer Survivorship Program, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA. mccabem@mskcc.org

Seminars in Oncology Nursing
|August 1, 2012
PubMed
Summary

Cancer survivorship care is evolving, encompassing recurrence surveillance, managing treatment side effects, and promoting long-term health. Oncology nurses are key to leading these comprehensive services for adult cancer survivors.

Related Experiment Videos

Area of Science:

  • Oncology
  • Cancer Survivorship Care
  • Healthcare Models

Background:

  • Cancer survivorship has emerged as a distinct phase of care.
  • Models of care for adult cancer survivors require updates.
  • Program development for survivorship services faces challenges.

Purpose of the Study:

  • To provide a clinical update on models of care for adult cancer survivors.
  • To identify challenges in developing cancer survivorship programs.
  • To highlight the evolving role of oncology nurses in survivorship.

Main Methods:

  • Literature review was conducted.
  • Analysis of current models of care.
  • Identification of implementation challenges.

Main Results:

  • Survivorship care now includes recurrence surveillance, managing treatment sequelae, and health promotion.
  • Written treatment summaries and care plans are essential components.
  • Significant challenges persist in implementing comprehensive services and evaluating care models.

Conclusions:

  • Cancer survivorship is a recognized and integral phase of cancer care.
  • Oncology nurses are pivotal in leading and advancing survivorship care.
  • The role of oncology nurses in survivorship is gaining national and international recognition.