Table 7.
Setting | Example indicator* | Data source | Pharmaceutical | Longitudinal | Geographical | Organisational | Sociodemographic | Clinical | Financial | |
---|---|---|---|---|---|---|---|---|---|---|
Unnecessary medicines use (overuse) | ||||||||||
Antibiotic use330, 331, 332 | Primary care | Percentage encounters with an antibiotic prescribed | Sample of paper prescriptions | Yes | Yes | No | No | No | No | No |
Medication safety333 | Hospital | Number of patients prescribed warfarin or clopidogrel concomitantly with a NSAID | Prescription charts or prescription database | Yes | Yes | No | No | No | No | No |
Inequality330, 331, 332, 333 | Primary care | Percentage encounters with an injection prescribed | Sample of paper prescriptions | Yes | Yes | NA | Yes | No | No | No |
Failure to use needed medicines (underuse) | ||||||||||
Cardiovascular disease334 | Residential care | Number of patients who were given angiotensin-converting enzyme inhibitor/angiotensin receptor blocker for hypertension or congestive heart failure | Audit of patient notes or electronic patient record | Yes | Yes | No | Yes | No | Yes | NA |
Asthma335 | Primary care | >1 defined daily dose beta agonist and <1 defined daily dose of inhaled steroids and beta agonists in patients aged 15–44 years | Prescribing database | Yes | Yes | No | No | Yes | No | NA |
Chronic kidney disease336 | Primary care | Percentage of patients aged 18–80 years with chronic kidney disease stages 4–5 and hypertension in the absence of low diastolic blood pressure | Electronic medical record | Yes | Yes | No | No | Yes | Yes | NA |
Medication safety337 | Primary care | Number of patients with history of peptic ulceration or gastrointestinal bleed, not prescribed gastroprotection and prescribed NSAID | Electronic medical record | Yes | Yes | No | No | Yes | Yes | NA |
Incorrect medicines use (misuse) | ||||||||||
Drug abuse338 | General | Volume of psychotropic drug volume in one area exceeds average by factor of two or more | Electronic prescription database | Yes | No | Yes | No | No | No | No |
Cardiovascular disease334, 339 | Residential care | Number of patients at risk of falling or with a history of falls given a medicine to avoid falling (eg, sedating antihistamines, tricyclic antidepressants, monoamine oxidase inhibitors, selective serotonin reuptake inhibitors, benzodiazepines, and antipsychotics) | Administrative and prescribing databases | Yes | Yes | No | Yes | NA | Yes | NA |
Chronic kidney disease336 | Primary care | Percentage of patients ≥18 years of age with estimated glomerular filtration rate of <30 mL/min/1·73 m2 and diabetes who are prescribed metformin | Electronic medical record | Yes | Yes | No | No | Yes | Yes | NA |
Unnecessary use of highly priced medicines | ||||||||||
Low cost prescribing330 | General | Percentage of drugs prescribed by generic name; percentage of drugs prescribed from National Essential Medicines List or Formulary | Sample of paper prescriptions | Yes | NA | No | No | No | No | No |
Budget impact340, 341, 342 | General | Relative expenditure per year survived of different treatment regimens for lung cancer | Health insurance claims database | Yes | Yes | No | Yes | Yes | Yes | Yes |
NSAID=non-steroidal anti-inflammatory drug. NA=not applicable.
These indicators are sometimes constructed as the volume of a product (or products) sold per head of population. Examples include: total volumes of antibiotic or antidiabetic medicines, or patterns of use of critical antibiotics. Appendix 4.2 gives a suggestion of the range of indicators that have been used to monitor inappropriate use of medicines across several countries, settings, and therapeutic areas. The indicators listed in appendix 4.2 have generally been shown to have face and content validity; however, experts caution that there could be justifiable reasons for outlying prescribing patterns.328, 340