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Epidemiological Methods in Studies of Symptoms in Advanced Disease
Author Bios
Why Study Advanced Disease?
Why Epidemiology?
Incidence and Prevalence
Using Incidence and Prevalence
Definition of a Case
Defining Time, Place, Person
Types of Study Design
Cross-Sectional Studies
Currently selected selection: Longitudinal Studies
Measurement
Bias
Selection Bias
Measurement Bias
Presenting and Interpreting Results
Practical Example
Calculating Prevalence
Conclusion


Chapter 19: Epidemiological Methods in Studies of Symptoms in Advanced Disease: Longitudinal (Cohort) Studies
         


In a longitudinal study subjects are followed over time typically with repeated monitoring of symptoms or other variables. Such studies can vary enormously in their size and complexity. At one extreme symptoms could be studied repeatedly in a large group (or cohort) of patients, from diagnosis to death. At the other extreme, symptoms among a relatively small number of patients (a small cohort) could be followed for a few days or weeks.

The table below shows hospital stays for five patients, measured over a period of 14 days. As before, the lines represent time spent in the hospital. A longitudinal study takes place, recruiting patients when they are admitted to hospital. Thus each patient is recruited at point X, and followed for 7 days, irrespective of whether they remain in the hospital or are discharged.

Figure 9.1: Longitudinal Design Example
Graphic example of longitudinal design, described in text.

In this example, symptoms are studied in all admissions. The first symptom assessment describes the level and nature of symptoms on admission. This type of data could not be obtained in a cross sectional survey. The repeated assessment of symptoms will show how symptoms change in the week after hospital admission.

Usually in longitudinal studies of symptoms a number of assessments are planned over time. These can then be grouped to construct summary measures. This approach reduces the set of n measurements to a reduced number of measurements (often to a single value). For example, in a study of 409 terminal patients, quality of life was evaluated at referral, and then every week till death (Paci, 2001). Two summary measures were then calculated: the mean of the QoL scores after admission and till the two weeks before death, and the mean of the QoL scores in the two weeks before death. The figure below shows an example of data from a longitudinal study of symptoms and other problems, collected using the Palliative Outcome Scale (Hearn and Higginson, 1999).

Figure 9.2: Results of longitudinal assessment of symptoms
and problems in patients admitted to palliative care programs
Graphic example of data from a longitudinal study of symptoms and other problems, described in article by Hearn and Higginson.

 

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