Sampling Bias – The Healthcare Quality Book- Vision, Strategy, And Tools
All patients who have been selected to provide feedback should have an equal opportunity to respond. Any situation that results in certain patients being less likely to be included in a sample leads to bias. For example, patients whose addresses are outdated or whose phone numbers are obsolete or incomplete in the database are less likely to be reached. Up-to-date patient lists are essential. It is also important for a survey vendor to eliminate sampling bias through probability sampling. That is, giving all patients who meet the study criteria an opportunity to be included in the sample.
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