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Related Concept Videos

Longitudinal Research02:20

Longitudinal Research

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Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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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.
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Kaplan-Meier Approach01:24

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The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
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Assumptions of Survival Analysis01:15

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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.
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Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

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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...
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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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Predicting Attrition Among Hospice Volunteers.

Bert Hayslip1, Andrew Sethi1, Melissa Ward Pinson1

  • 1University of North Texas, Denton, TX, USA.

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|November 29, 2019
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Hospice volunteer retention is improved by addressing burnout and enhancing spirituality and self-efficacy. These factors help predict which volunteers will continue their service, aiding hospice organizations.

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Area of Science:

  • Gerontology
  • Psychology
  • Sociology

Background:

  • Volunteer retention is a significant challenge in hospice care.
  • Understanding factors influencing continued volunteer involvement is crucial for program sustainability.

Purpose of the Study:

  • To identify predictors of sustained engagement among hospice volunteers.
  • To explore the relationship between personal characteristics, psychological factors, and volunteer longevity.

Main Methods:

  • A questionnaire assessed demographics, locus of control, burnout, hospice self-efficacy, spirituality, and death anxiety in 53 hospice volunteers.
  • Participants' continued involvement was tracked over 6-8 months.

Main Results:

  • Lower burnout levels predicted continued volunteering, even after adjusting for experience, age, education, and duration.
  • A combination of burnout, spirituality, and hospice self-efficacy accurately predicted volunteer retention (completers vs. dropouts) in 82% of cases.

Conclusions:

  • Burnout, spirituality, and hospice self-efficacy are key factors in hospice volunteer retention.
  • Screening and targeted training may improve volunteer longevity and program effectiveness.