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The Well-Being Index is an online self-assessment tool invented by researchers at Mayo Clinic that measures mental distress and well-being in seven-nine items. [1] [2] The Well-Being Index is an anonymous tool that allows participants to reassess on a monthly basis, track their well-being scores over time, compare their results to peers' and national averages, and access customized resources ...
PROMIS measures are standardized, allowing for assessment of many patient-reported outcome domains—including pain, fatigue, emotional distress, physical functioning and social role participation—based on common metrics that allow for comparisons across domains, across chronic diseases, and with the general population.
These measures are broken down into three main categories: basic negative emotion scales consisting of fear, hostility, guilt, and sadness; basic positive emotion scales consisting of joviality, self-assurance, and attentiveness; and other affective states consisting of shyness, fatigue, serenity, and surprise.
The Fatigue Avoidance Scheduling Tool (FAST) was developed by the United States Air Force in 2000–2001 to address the problem of aircrew fatigue in aircrew flight scheduling. [2] FAST is a Windows program that allows scientists, planners and schedulers to quantify the effects of various work-rest schedules on human performance.
Pilots often have to rely on self-assessment in order to decide if they are fit to fly. The IMSAFE checklist is an example of self-assessment. Another measure that a pilot can employ to more accurately determine his level of fatigue is the Samn- Perelli Seven Point Fatigue Scale (SPS).
The Maslach Burnout Inventory (MBI) is a psychological assessment instrument comprising 22 symptom items pertaining to occupational burnout. [1] The original form of the MBI was developed by Christina Maslach and Susan E. Jackson with the goal of assessing an individual's experience of burnout. [2]
Fatigue detection software analyse behaviour and warning signs to determine the onset of fatigue. The technology has the potential to be a highly accurate tool for detecting the early stages of fatigue in drivers and minimise the likelihood of incidents. The technology allows operators in real time to visually identify their levels of alertness.
According to Beck's publisher, 'When Beck began studying depression in the 1950s, the prevailing psychoanalytic theory attributed the syndrome to inverted hostility against the self.' [3] By contrast, the BDI was developed in a novel way for its time; by collating patients' verbatim descriptions of their symptoms and then using these to structure a scale which could reflect the intensity or ...
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