Legislation and regulation
PR1: Number of drug outlets inspected, out of total number of drug outlets in the country
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------------ x 100 = % |
D = |
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PR2: Number of drug outlets in violation, out of total number of drug outlets inspected
N = |
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------------- x 100 = % |
D = |
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PR3: Number of sanctions and administrative measures implemented, out of total number of violations identified
N = |
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------------- x 100 = % |
D = |
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PR4: Number of samples routinely collected, out of total number of planned collected samples
N = |
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------------- x 100 = % |
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PR5: Number of samples tested, out of total number of samples collected
N = |
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------------- x 100 = % |
D = |
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PR6: Number of advertisements in violation of regulations on the ethical promotion of drugs, out of total number of advertisements monitored
N = |
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------------- x 100 = % |
D = |
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PR7: Number of sanctions implemented for advertisements in violation of regulations, out of total number of violations identified
N = |
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------------- x 100 = % |
D = |
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Essential drug selection and drug registration
PR8: Value of drugs from the national essential drugs list (EDL) procured in the public sector, out of total value of drugs procured in the same sector
N = |
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------------- x 100 = % |
D = |
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PR9: Number of drugs from the national essential drugs list (EDL) prescribed, out of total number of drugs prescribed
N = |
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------------- x 100 = % |
D = |
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PR10: Number of drugs from the national essential drugs list (EDL) sold, out of total number of drugs sold
N = |
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------------- x 100 = % |
D = |
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PR11: Number of locally manufactured drugs sold in the country from the national essential drugs list (EDL), out of number of drugs from the national essential drugs list (EDL)
N = |
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------------- x 100 = % |
D = |
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PR12: Number of combination drugs newly registered, out of total number of newly registered drugs
N = |
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------------- x 100 = % |
D = |
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PR13: Number of registered drugs which are banned in other countries, out of total number of registered drugs
N = |
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------------- x 100 = % |
D = |
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Drug allocation in the health budget/public sector financing policy
PR14: Value of public drug budget spent per capita in the last year, out of average value of the same budget during the past three years
N = |
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------------- x 100 = % |
D = |
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PR15: Value of public drug budget spent by major hospitals, out of value of public drug budget spent
N = |
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------------- x 100 = % |
D = |
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1
PR16: Value of international aid received for drugs, out of value of public drug budget
N = |
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------------- x 100 = % |
D = |
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PR17: Value of revenue generated for drugs through additional financing systems, out of value of public drug budget
N = |
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------------- x 100 = % |
D = |
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PR18: Public drug budget spent, out of public drug budget allocated
N = |
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------------- x 100 = % |
D = |
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Public sector procurement procedures
PR19: Value of drugs purchased through competitive tender, out of value of drugs purchased
N = |
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------------- x 100 = % |
D = |
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PR20: Value of drugs purchased from local manufacturers through competitive tender, out of value of drugs purchased through competitive tender
N = |
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------------- x 100 = % |
D = |
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PR21: CIF/ex-factory value of a basket of drugs, out of CIF/ex-factory value of the same basket the year of reference
N = |
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------------- x 100 = % |
D = |
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PR22: CIF/ex-factory value of a basket of drugs, out of "reference" value on the international market of the same basket
N = |
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------------- x 100 = % |
D = |
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PR23: Average lead time for a sample of orders in the last year, out of average lead time during the past three years
N = |
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------------- x 100 = % |
D = |
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PR24: Average time period of payment for a sample of orders, out of average time period of payment stated in contract
N = |
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------------- x 100 = % |
D = |
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PR25: Number of drugs/batches tested, out of number of drugs/batches procured
N = |
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------------- x 100 = % |
D = |
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PR26: Number of drugs/batches that failed quality control testing, out of number of drugs/batches tested
N = |
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------------- x 100 = % |
D = |
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Public sector distribution and logistics
PR27: Average time between order and delivery from central store to remote facilities in the last year, out of average time between order and delivery in the past three years
N = |
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------------- x 100 = % |
D = |
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PR28: Average stockout duration for a basket of drugs in the central and/or regional stores in the last year, out of average stockout duration for the same basket in the past three years
N = |
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------------- x 100 = % |
D = |
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PR29: Average stockout duration for a basket of drugs in a sample of remote facilities in the last year, out of average stockout duration for the same basket in the past three years
N = |
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------------- x 100 = % |
D = |
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Pricing policy
PR30: Value of a basket of drugs, out of CIF/ex-factory value of the same basket
N = |
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------------- x 100 = % |
D = |
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PR31: Average expenditure per prescription, out of average expenditure per prescription in the past three years
N = |
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------------- x 100 = % |
D = |
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PR32: Value of a basket of drugs, out of value of the same basket the year of reference
N = |
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------------- x 100 = % |
D = |
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Information and continuing education on drug use
PR33: Number of prescribers having direct access to a (national) drug formulary, out of total number of prescribers surveyed
N = |
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------------- x 100 = % |
D = |
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PR34: Number of training sessions on drug use for prescribers in the last year, out of average number of training sessions organized in the past three years
N = |
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------------- x 100 = % |
D = |
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PR35: Number of prescribers who have attended at least one training session in the last year, out of total number of prescribers surveyed
N = |
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------------- x 100 = % |
D = |
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PR36: Number of issues of independent drug bulletins published in the last year, out of average number of issues of independent drug bulletins published per year in the past three years
N = |
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------------- x 100 = % |
D = |
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PR37: Average number of copies of independent drug bulletins sent to prescribers, out of total number of prescribers
N = |
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------------- x 100 = % |
D = |
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PR38: Amount spent on public education campaigns on drug use, out of total amount spent on public health education campaigns
N = |
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------------- x 100 = % |
D = |
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