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Fatigue Sections
Author Bio
Introduction
Fatigue in Medical Illness
Fatigue Defined
Research Questions
Measurement and Assessment
Currently selected section: Fatigue Measurement
Related Constructs
Designing Fatigue Surveys
Case Definition
Data Collection
Maximizing Completion
Designing Intervention Trials
Controlled Trials
Selecting Study Procedures
Issues in Data Analysis
Conclusion




Chapter 9: Fatigue: Fatigue Measurement
        

Formal approaches to the assessment of medical comorbidities by either chart review (Charlson et al., 1987) or patient interview (Katz et al., 1996) may be adapted for use in surveys or clinical trials. Alternatively, a checklist can be developed that can codify the existence of the most important of these phenomena. The checklist can be completed using information from the medical record (e.g. recent hemoglobin level), patient history and physical examination (e.g. degree of physical inactivity), or brief screening tools that are added to the questionnaire packet (e.g. depression screen).

In some cases, additional relevant information can be obtained from an intervention that would usually be considered to pose minimum burden, such as pulse oximetry or blood sampling to measure hemoglobin or electrolytes. Other information is obtainable only with more elaborate testing, such as pulmonary function tests or electrodiagnostic studies. Like the use of multiple questionnaires, these tests can be burdensome for some fatigued patients. Respondent burden must be balanced against the anticipated value of the data when designing the assessment protocol for a study.

Most investigators are biased toward the collection of as much information about comorbidities as possible. In all types of studies, surveys and controlled trials, these data may provide the means to perform post-hoc analyses that could potentially clarify important relationships and generate new hypotheses. In controlled trials, one or more of these variables may be considered so likely to influence the primary outcome (usually fatigue severity) that they either are selected for stratification among the study groups or are prospectively included in the data analysis plan.

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