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Donner et al. (41) describe a variance inflation factor given by 1 + (n - 1) τ, where τ is the intracluster correlation coefficient, and n= samples (prescriptions) needed per cluster.
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A set of six sample prescriptions was generated.
A systematic method for prescription sampling using data collected from January to September 2011 yielded 100 randomly sampled prescriptions (10 to 15 prescriptions per month) for each facility.
Although this sampling prescription is frequently effective, it can be far from optimal in certain limiting cases, such as for a 1D channel, or more generally yield inefficient sampling schemes at low degrees of sub-sampling.
We had only access to a proportionally smaller sample for specialist prescriptions (sample of 5%) compared to GPs (sample of 10%).
All the data in this study were collected through site investigations of primary healthcare institutions, from annual statistical reports of these institutions and samples of prescriptions.
To sample outpatient prescriptions, the systematic random sampling method was used to select 25 outpatient prescriptions on 17th September and 18th December of 2007, and 19th March and 20th June of 2008, respectively.
To assess changes in prescription gross margin from 2008 to 2011 using a random sample of prescriptions, analyze changes in prescription gross margin from 2008 to 2011 using a market basket of prescription drugs, and investigate impact of changes in prescription mix from 2008 to 2011 on prescription gross margins.
Free samples of prescription drugs may seem like a great deal for patients.
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To understand medicines use patterns, we reviewed a sample of prescriptions in selected hospitals.
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