Orvessa · pre-engagement programme builder · worked example

Build the programme. See the return.

Worked example, de-identified. This is the tool we build with a brand team before any statement of work. The product, its competitors, the sponsor and the trial are renamed (Brand A, B, C; TRIAL-A). The dispensing data is real Australian PBS data; the levers, effect sizes and costs are the assumptions we walked through together.

The Brand A market on PBS dispensing data, the Orvessa levers that move it, and the value, cost and payback of the programme you choose. Switch levers on or off, set the assumptions, and the ROI and implementation plan update as you go. Your selections are saved in this browser and can be shared as a link.

1
Read the marketWhere Brand A stands against Brand B and Brand C, early and metastatic, on PBS data to Jun-26.
2
Choose your leversOrvessa products and bespoke builds. Each one says what it is, how it applies to Brand A, what it moves and what it costs.
3
Take the planIncremental patients, value, ROI and payback, then a week-by-week implementation plan you can print or share.

Disclaimer. Illustrative planning tool prepared by Orvessa as a worked example of the pre-engagement process. Effect sizes are assumptions you set, not observed results; value is shown at an assumed net share of the PBS benefit paid, a placeholder rather than a sponsor figure; Orvessa costs are indicative until scoped. Analysis is AI-assisted from public PBS data and should be verified before any external use. Not for clinical or promotional use.

Key takeout

Key takeout

Reading the current scenario…

Step 1

The Brand A picture

Molecule A against molecule B (Brand B, Competitor B) and molecule C (Brand C, Competitor C) in HR+/HER2− breast cancer. Patients on therapy are estimated as PBS scripts across a drug's dose bands (one pack is about one month of therapy). Source: PBS item dispensing data, Jul-2018 to Jun-26.

Indication

Active PBS patients per month

Brand A against Brand B in early breast cancer, from each brand's first month of dispensing.

Table view

Where the patients are

Scripts in the last 12 months by state, for the selected indication.

Table view

What the data says

Computed from the dispensing series above and the baseline assumptions in Step 3.

    Key market factors affecting revenue

    Context for the PBS figures above. They are the government’s reported outlay on Brand A — — across metastatic and early BC in the last twelve months — and three things shape what that number means.

    • Initial commitment. On the July 2018 metastatic listing the federal government allocated a multi-year budget to subsidise Brand A for roughly 3,000 patients a year.
    • Indications expansion. In mid-2025 the PBS expanded access to high-risk early-stage breast cancer. That wider baseline is expected to push utilisation and government spend higher in the coming reporting cycles: the early-BC series here is only — old and still climbing.
    • Special pricing arrangements. These figures come from public PBS data and do not fully reflect net manufacturer revenue. High-cost oncology medicines like Brand A are bound by confidential risk-sharing arrangements, so the sponsor pays undisclosed rebates back to the Australian Government where volume or expenditure caps are exceeded. Use the value-basis slider in Step 3 to model a net share.

    The brand in four facts

    1 Jul 2025
    Early-BC PBS listing, high-risk node-positive stage II/III
    HR 0.716
    TRIAL-A 5-year invasive-DFS benefit, OS trending favourably
    ~14 months
    behind Brand B into adjuvant use
    36 months
    adjuvant course, with the heaviest monitoring load in the class

    SWOT, Australian medical-marketing lens

    Condensed from the sponsor’s brand analysis. Each Orvessa lever in Step 2 is built against one of these lines.

    Strengths

    • Covers the full HR+/HER2− spectrum: metastatic since 2018, early BC since July 2025.
    • Broader funded early-BC pool than Brand B's narrower label; once-daily dosing.
    • TRIAL-A benefit that grew over time, with OS trending favourably.

    Weaknesses

    • Fourteen months late into adjuvant; Brand B habits already forming.
    • Heaviest monitoring in the class: baseline, day-14 and cycle-2 ECG, QTc, electrolytes, CBC, LFTs.
    • No Australian digital adherence tool for the three-year course.

    Opportunities

    • Turn the monitoring burden into a supported-care offer that neutralises the main objection.
    • Own the OS-trend and breadth-of-eligibility narrative among prescribers.
    • Three-year persistence upside on a newly funded pool.

    Threats

    • Brand B first-mover entrenchment and switching inertia.
    • PBS authority complexity causing rejections and dampening uptake.
    • Brand C in metastatic; generic molecule A on the horizon.
    Step 2

    Choose the programme

    Every lever is a Orvessa product or a bespoke build applied to Brand A. Switch it on to include it, then set the effect you are prepared to believe and the cost you expect. Effects and costs are starting assumptions from the Orvessa pitch and price list, not commitments; everything is editable.

    Step 3

    Benefit and return

    The programme you chose against a base case that holds Brand A's current new-start rate flat. Value is incremental Brand A patient-months multiplied by the PBS benefit actually paid per script in the latest month, so it is the government’s gross outlay at published prices, not net revenue to the sponsor after rebates. Use the value-basis slider to apply your own net factor.

    Horizon
    Uplift applies to
    Net-to-sponsor share of PBS benefit100%
    100% is the PBS item report as published — the government’s reported outlay. It is not what the sponsor books: Brand A sits under a confidential risk-sharing arrangement and the rebate is undisclosed. Move the slider to model a net share.
    Baseline assumptions
    Early-BC non-completion, base25%
    Drop-offs front-loaded2.5
    Metastatic median time on therapy18 mo
    Months to full effect after go-live3 mo
    Each lever starts earning in its go-live month from Step 4, then ramps.
    Brand A early-BC new starts / month
    Blank = estimate from PBS flow (—/month)
    Brand A metastatic new starts / month
    Blank = estimate from PBS flow (—/month)
    Incremental gross PBS value over 36 months
    —
    —

    Brand A patients on therapy, base case vs programme

    Observed to date, then projected over the horizon. The gap between the lines is the incremental patient base the programme creates.

    Table view

    Cumulative value against cumulative cost

    Where the lines cross is payback. Cost is year-1 spend spread over the first twelve months, then ongoing spend.

    Table view

    Where the value comes from

    Incremental value attributed to each lever, pro-rata to what it would deliver on its own.

    Scenario summary

    Base case holds Brand A's recent new-start rate and completion flat. Programme applies the selected levers.

    Disclaimer

    The figures on this page are an illustrative model, not a forecast or a commitment. New-start and completion effects are assumptions chosen by the user; the base case extrapolates recent PBS dispensing and modelled retention. Value is the PBS benefit actually paid and overstates net revenue to the sponsor, which is reduced by pharmacy and wholesaler margin and by the confidential rebate under Brand A’s special pricing arrangement; use the value-basis slider for a net view. Orvessa prices are indicative and confirmed on scoping. The analysis is AI-assisted from public PBS data and public clinical sources; verify all clinical, PBS and regulatory detail before acting on it. Patient-facing tools described here are support companions, not medical devices, and any claims made to clinicians or patients would go through the sponsor medical-legal review. Illustrative worked example. Not for clinical or promotional use.

    Step 4

    How to implement

    Orvessa builds fast; the calendar is set by sponsor approvals and pilot access. The plan below is generated from the levers you selected. Weeks count from the scoping workshop, and each lever’s go-live week is when it starts earning in the Step 3 model.

    Week 0

    Scoping workshop

    Half a day with brand, medical and field leads. Confirm levers, effect assumptions, pilot clinics and the content pack. Output: a signed scope and this page as the agreed baseline.

    Weeks 1–4

    Configure and approve

    Orvessa configures products and starts bespoke builds. The sponsor runs medical-legal review on the content pack and confirms programme hand-offs. The baseline is captured before anything goes live.

    Weeks 3–8

    Launch

    Medcast channel and Medflow placement switch on as content clears. The Hub companion and bespoke builds pilot in two or three clinics, then open up.

    Week 8 onward

    Scale and measure

    Onboard clinics against the territory plan, review the KPIs monthly and re-run this tool with observed numbers in place of assumptions.

    Sixteen-week plan for the selected levers

    Solid bar = configure or build, including the sponsor approvals it depends on. Faded bar = live. Change the selection in Step 2 and the plan follows.

    What the sponsor brings

    The gates that set the calendar. Tick them off as they clear; ticks are saved with the scenario.

    Next step: a scoping workshop

    Size the build and agree a launch plan into the post-listing window while the early-BC market is still forming. Print this page as the pre-read, or send the link so colleagues see the same scenario.

    Method

    How the numbers are made, and what they are not

    Patients on therapy each month are estimated as total PBS scripts across a drug's dose bands for that indication (one dispensed pack is about one month of therapy). Baseline new starts per month are estimated from flow: the recent trend in patients on therapy plus the patients who leave therapy each month under the retention curve. You can override the estimate in the baseline assumptions.

    Retention. Early breast cancer is a fixed course, 36 months for Brand A, with non-completion front-loaded (defaults 25% and a front-loading factor of 2.5, the same retention model as our PBS explorer). Metastatic disease is treat-to-progression, modelled as exponential decay off the median. Completion levers reduce the early-BC non-completion rate by the points you set, for new starters and for patients already on therapy from the month the programme goes live. New-start levers add to the monthly new-start rate by the percentages you set; percentages add, they do not compound. Timing. A lever earns nothing until its go-live month (from the Step 4 plan), then ramps to full effect over the months you set in the baseline assumptions (default three).

    Value is incremental Brand A patient-months multiplied by the PBS benefit actually paid per script in the latest month for that indication (early BC about — a month, metastatic about —), then multiplied by the value-basis share. Those figures come from the benefit column of the PBS item report, so they are what the government actually paid, not scripts priced at a published DPMQ. They are still gross: they are not net manufacturer revenue after the confidential rebate. Costs are indicative Orvessa prices; final pricing is confirmed on scoping. Attribution gives each lever a share of the total pro-rata to what it would deliver on its own. Break-even patients is total programme cost divided by the value of one additional early-BC starter within the horizon.

    Brand A early BC listed on 1 July 2025 and the data runs to Jun-26, so no early-BC cohort has finished the 36-month course; completion figures are projections. Effect sizes are assumptions you set, not observed results. Illustrative worked example. Not for clinical or promotional use.

    Brand A monitoring-coordination layer · working mockup

    Concept · fictional patients · not a medical device
    Schedule follows the Brand A Product Information cadence in simplified form (ECG at baseline, day 14 and cycle 2; LFTs and blood counts fortnightly for two cycles then each cycle to cycle 6; electrolytes each cycle to cycle 6). Thresholds shown are illustrative prompts for clinician review, not treatment advice. Data resets when you close the window.