Pharmacoeconomic Guidelines Around The World

Country: New Zealand, Region: Oceania

PE guidelines
Prescription for Pharmacoeconomic Analysis - Methods for Cost-utility Analysis (May 2007)

PE guidelines Source:
A Prescription For Pharmacoeconomic Analysis
PDF in English
Prescription for Pharmacoeconomic Analysis (PFPA)

References:


PE guidelines Key Features:
Key Features:  
Title and year of the DocumentPrescription for Pharmacoeconomic Analysis - Methods for Cost-utility Analysis (May 2007) 
Affiliation of authorsPHARMAC, the Pharmaceutical Management Agency 
Main policy objectiveThe objective is to secure the best possible health outcomes from within the funding provided. 
Standard reporting format includedYes 
DisclosureClear from the Government agency authoring the Guidelines 
Target audience of funding/ author’s interestsPHARMAC staff, pharmaceutical companies and contracted health economists preparing economic analyses for PHARMAC 
PerspectiveThe health budget and patient, with respect to PHARMAC’s decision criteria. Costs to other Government budgets such as social welfare are excluded because they are outside PHARMAC's budget, but these may be discussed qualitatively in full evaluations. 
IndicationNot required 
Target populationThe New Zealand population most likely to receive treatment. 
Subgroup analysisYes 
Choice of comparatorShould be the treatment that most prescribers would replace in New Zealand clinical practice, and the treatment prescribed to the largest number of patients (if this differs from the treatment most prescribers would replace). 
Time horizonShould be extended far enough into the future to capture all the major clinical and economic outcomes of the alternatives under assessment. 
Assumptions requiredYes 
Preferred analytical techniqueCost-Utility Analysis (CUA) 
Costs to be includedThe range of costs included in cost-utility analyses depends on the level of analysis undertaken, with a wider range of costs included in more detailed analyses. 
Source of costsA variety of sources including PHARMAC, the New Zealand Health Information Service (NZHIS), Ministry of Health, and DHBs. 
ModelingYes. Models should avoid unnecessary complexity and should be transparent, well described and reproducible. 
Systematic review of evidencesYes. All appropriate levels of evidence should be identified; however well-conducted randomised controlled trials (RCTs) and meta-analyses are the preferred data sources when estimating relative treatment effects. 
Preference for effectiveness over efficacyYes. RCT in combination with real-life data to capture patients with poor compliance. Actual QALYs = potential QALYs x patient continuation/ adherence rate 
Preferred outcome measureThe overall incremental cost per QALY result should be reported as a point estimate as well as the range over which the cost per QALY is likely to vary. 
Preferred method to derive utilityBased on EuroQoL with New Zealand tariffs; type 2 (excluding logically inconsistent reponses) in the base case and and type 1 (larger sample size but with logical inconsistencies) in sensitivity analysis 
Equity issues statedYes 
Discounting costs3.5% , and 0%, 5%, and 10% in sensitivity analyses. 
Discounting outcomes3.5% , and 0%, 5%, and 10% in sensitivity analyses. 
Sensitivity analysis-parameters and rangeParameters to consider include those with the greatest level of uncertainty (e.g. those derived from opinion), and those with the greatest influence on model outcomes (e.g. key clinical variables and costs). 
Sensitivity analysis-methodsSensitivity analysis should include univariate (simple), multivariate and extremes (scenario) analysis. The level of sensitivity analysis undertaken should be determined by the level of analysis 
Presenting resultsWhen presenting the results of the analysis, the overall incremental cost per QALY result should be reported as a point estimate as well as the range over which the cost per QALY is likely to vary. 
Incremental analysisYes 
Total C/ENo 
Portability of results (Generalizability)Yes, New Zealand context 
Financial impact analysisNot indicated 
Mandatory or recommended or voluntaryRecommended 

Acknowledgement: Dr. Richard J Milne contributed to the Key-feature form. Richard J Milne PhD, MRSNZ, Associate Professor, University of Auckland, Auckland, New Zealand.

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