Table 3.
Strengths and weaknesses of automated prescription databases
| Strengths | Weaknesses |
|---|---|
| Large sample size | Uncertain diagnosis |
| Relatively inexpensive | Lack of information on confounding variables (e.g. smoking status) |
| Relatively complete data | Lack of information on over-the-counter/nonprescription items |
| Population/‘real world’ based | Unstable population due to economic factors |
| No recall and interviewer bias | Only include medical illnesses severe enough to come to medical attention |
| Results may not be generalizable to the wider population |