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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...
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,...
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.
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...
Survival Curves01:18

Survival Curves

Survival curves are graphical representations that depict the survival experience of a population over time, offering an intuitive way to track the proportion of individuals who remain event-free at each time point. These curves are widely used in fields such as medicine, public health, and reliability engineering to visualize and compare survival probabilities across different groups or conditions.
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
Life Histories01:29

Life Histories

Constrained by limited energy and resources, organisms must compromise between offspring quantity and parental investment. This trade-off is represented by two primary reproductive strategies; K-strategists produce few offspring but provide substantial parental support, whereas r-strategists produce much progeny that receives little care. These strategies are related to an organism’s survival likelihood across its lifespan, which is represented by a survivorship curve. Three general types of...

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Related Experiment Videos

Survivorship care: models and programs.

Mary S McCabe1, Linda Jacobs

  • 1Memorial Sloan-Kettering Cancer Center, New York, NY 10021, USA. mccabem@mskcc.org

Seminars in Oncology Nursing
|August 9, 2008
PubMed
Summary
This summary is machine-generated.

The growing number of cancer survivors requires specialized, evidence-based care models. Oncology nurses are crucial in leading the development and implementation of these survivorship programs.

Related Experiment Videos

Area of Science:

  • Oncology
  • Cancer Survivorship Care

Background:

  • The population of adult cancer survivors is increasing globally.
  • Existing care models often do not adequately address the unique needs of survivors.
  • Program development for cancer survivorship faces significant challenges.

Purpose of the Study:

  • To review current models of care for adult cancer survivors.
  • To identify challenges in developing and implementing survivorship programs.

Main Methods:

  • A comprehensive review of the existing literature on cancer survivorship care models was conducted.

Main Results:

  • Cancer survivorship necessitates a distinct phase of care.
  • Essential components include recurrence surveillance, managing treatment sequelae, new cancer screening, health promotion, and care planning.
  • Significant hurdles exist in evaluating care models and implementing services nationwide.

Conclusions:

  • Survivorship must be recognized as a distinct phase of cancer care.
  • Oncology nurses are well-positioned to lead the advancement of cancer survivorship services.
  • Developing and implementing evidence-based survivorship programs is critical for this growing population.