Analytical approach:
The authors used a decision analytic model to combine individual patient level data from two randomised controlled trials with live birth data and published cost estimates from the UK. The time horizon of the analysis was up to three cycles (one fresh and two frozen). The authors stated that the study perspective was that of the NHS payer.
Effectiveness data:
The main clinical effectiveness evidence came from prospective multinational randomised controlled trials that were pooled to provide the patient population and outcomes (Andersen et al. 2006, European and Israeli Study Group 2002 and Platteau et al. 2008; see Other Publications of Related Interest). The pooled population consisted of 986 women aged 18 to 39 treated with either HP-HMG (491 participants) or rFSH (495 participants). The main effectiveness estimate was live birth rate. For other clinical parameters trial data (such as drop-out rates following each cycle) were supplemented with a selection of known recent relevant studies from the published literature.
Monetary benefit and utility valuations:
Not relevant.
Measure of benefit:
Live birth rate and number of babies born per patient who initiated treatment were the benefit measures.
Cost data:
The cost categories included those related to treatment doses of HP-HMG and rFSH, GnRH agonists, hospitalisation for ovarian hyperstimulation syndrome, patient visits and cost of pregnancy determination and loss. Resource use quantities were based on data collected in the randomised controlled trials. Unit costs were from published UK sources (including the British National Formulary, UK reference costs and the published literature). Costs were indexed to the year 2008. No discounting was performed due to the short time horizon.
Analysis of uncertainty:
Confidence intervals around summary statistics were derived using bootstrapping. The authors conducted probabilistic sensitivity analysis to assess the impact of multiple parameter uncertainty on the results.