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Related Concept Videos

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
The Availability Heuristic01:08

The Availability Heuristic

A heuristic is a general problem-solving framework (Tversky & Kahneman, 1974). You can think of these as mental shortcuts that are used to solve problems. Different types of heuristics are used in different types of situations, and the impulse to use a heuristic occurs when one of five conditions is met (Pratkanis, 1989):
Classification of Illness01:17

Classification of Illness

The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe and...
Residuals and Least-Squares Property01:11

Residuals and Least-Squares Property

The vertical distance between the actual value of y and the estimated value of y. In other words, it measures the vertical distance between the actual data point and the predicted point on the line
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Applications of Life Tables01:22

Applications of Life Tables

Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
Infectious Diseases and Their Occurrence01:28

Infectious Diseases and Their Occurrence

Infectious diseases appear in populations through various transmission patterns, influenced by pathogen characteristics, population immunity, environmental conditions, and social behavior. Understanding these patterns is essential for effective public health surveillance and intervention. These categories—sporadic, outbreak, epidemic, pandemic, and endemic—help frame the nature and scope of disease events.Sporadic diseases occur irregularly and infrequently, without a predictable temporal or...

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Related Experiment Videos

Predicting job loss in those off sick.

Jane Wilford1, Alex D McMahon, Jean Peters

  • 1Division of Community Based Sciences, Faculty of Medicine, Public Health and Health Policy Section, University of Glasgow, Glasgow, UK.

Occupational Medicine (Oxford, England)
|January 25, 2008
PubMed
Summary

A new screening tool identifies individuals at high risk of long-term job loss after extended sick leave. This tool aids in early intervention for incapacity benefit claimants to improve return-to-work outcomes.

Related Experiment Videos

Area of Science:

  • Occupational Health
  • Health Services Research
  • Social Medicine

Background:

  • Incapacity benefit claimants, defined as individuals off sick for over 26 weeks, face the highest risk of prolonged job loss.
  • Understanding predictors of return to work is crucial for effective employment support interventions.

Purpose of the Study:

  • To develop and validate a screening tool for identifying individuals at high risk of job loss.
  • The tool is intended for use within employment support programs, such as the Job Retention and Rehabilitation Pilot.

Main Methods:

  • A comprehensive literature review identified multifactorial risks associated with long-term incapacity and job loss.
  • Potential return-to-work predictors were compiled into a questionnaire and validated through prospective and retrospective studies.
  • Univariate and multivariate logistic regression analyses were employed to assess predictive power.

Main Results:

  • The screening tool, comprising five key questions, demonstrated strong predictive capability with a C-index of 0.90.
  • Predictive factors include self-assessed ability to return to work, capacity for current job in six months, recent sick leave history, age, and awaiting medical consultation or treatment.
  • The tool effectively identifies individuals at elevated risk of not returning to work.

Conclusions:

  • A validated screening tool has been successfully developed to identify individuals most vulnerable to job loss.
  • This tool can facilitate targeted interventions to support return to work for those on long-term sick leave.