Unit price is easy to compare. Total cost-in-use is what your CFO will ask about.
This how-to guide walks hospital procurement and value analysis teams through a practical total cost-in-use model for silicone foam dressings that accounts for (1) volume scenarios, (2) waste and rework, (3) training time, and (4) cross-unit budgets. The examples assume a 600-bed teaching hospital, but the structure is meant to be reusable.
What you’re building (and what it’s not)
You’re building: a transparent spreadsheet model that turns a dressing choice into annual budget impact under a few realistic scenarios.
You’re not building: a clinical outcomes model. Keep the scope financial and operational unless your committee has high-quality outcomes data you’re comfortable defending.
A helpful mindset is “savings beyond price”: value analysis programs often find savings in waste reduction, inefficient use patterns, and life-cycle cost, not just contract unit cost. (See the industry framing in Value Analysis Magazine’s 2026 piece on cost optimization beyond price.)
Pro Tip: If your committee debates assumptions, your model wins when it’s auditable. Every number should have a source: MMIS/ERP report, nursing leadership input, a time study, or a documented protocol.
Step 1: Define your scenarios (volume, mix, and dressing change frequency)
Action: Pick 2–3 scenarios that reflect how silicone foam is actually used in your hospital (not a single “average patient”).
A simple starting set:
Baseline: current formulary mix and current change frequency.
Standardization scenario: reduced SKU spread + fewer exceptions.
High-exudate stress test: higher change frequency and more rework.
Inputs to collect (start with what you already have):
Annual silicone foam units issued (by unit or cost center).
Distribution by care setting (ICU, med-surg, OR/post-op, wound clinic, etc.).
A short list of “high-variance” use cases (e.g., sacral prophylaxis, post-op incisions, chronic wound visits).
Done when: You can explain—in one sentence each—why your scenarios are different and what would cause you to shift from baseline to stress-test behavior.
Step 2: Build the cost-per-change block in your total cost-in-use model
Most cost-in-use models become credible once they separate materials cost from labor/time cost.
2A) Materials cost per dressing change
Action: Build a per-change materials line item set.
At minimum:
Dressing unit cost (contract price)
Secondary fixation (if used)
Skin prep / barrier products (if standard)
Ancillary supplies (as appropriate)
Done when: Your per-change materials block matches how nursing and wound care teams describe the actual change workflow.
2B) Nursing time cost per change (transparent method)
Action: Estimate minutes per change and assign a cost per minute.
If you want a defensible approach, borrow the concept of capacity cost rate from TDABC: estimate a cost per minute for a role based on salary/benefits/overhead and practical working time, then multiply by minutes spent on the activity.
PubMed’s overview of TDABC applications in healthcare (Keel et al., 2017) describes TDABC as a time-based approach aligned with value-based care and a seven-step method for costing workflows: “Time-driven activity-based costing in health care: a systematic review” (2017).
A practical “how” description of capacity cost rate (cost/minute) is outlined in a TDABC methods overview on PubMed Central: “Basics of time-driven activity-based costing (TDABC) and applications…” (2021).
Two pragmatic options:
Lightweight (committee-friendly): use a single blended “RN loaded cost per minute” and one average time per change.
More precise: different time/cost for RN vs. WOC nurse vs. tech, and different minutes for “routine change” vs “rework.”
Done when: You can show the math as minutes per change × $/minute, and finance agrees the labor rate is in the right ballpark.
Step 3: Add waste and rework (the costs that unit price misses)
This is where the model usually changes the conversation.
Action: Add a small set of “waste and rework” inputs that reflect what actually causes extra changes.
Suggested inputs (keep it simple):
Early-change rate (%): percent of dressing changes occurring sooner than planned.
Rework time (minutes): extra minutes when a change becomes a cleanup + reapply event.
Wasted units (units/month): opened but unused or discarded due to sizing errors, contamination, or protocol mismatch.
Where do these come from?
Unit-level variance: ICUs and high-exudate populations often behave differently than med-surg.
Known failure modes: silicone foams are often chosen for moisture handling and skin-friendliness, but procurement teams still hear about slippage/edge lift, leakage, and maceration risk when fit, exudate level, or technique don’t match the product choice. You can use these as neutral “rework drivers” without making outcomes claims.
For internal context on common pros/cons language your clinicians may already recognize, SLK Medical summarizes general tradeoffs here: “Pros and cons of silicone foam wound dressings”. (Treat this as internal background, not clinical evidence.)
Done when: Your model can show a scenario where unit price is lower but total cost rises because early changes and rework eat the savings.
Step 4: Add training and conversion costs (one-time and ongoing)
Even when products are comparable, switching costs are real—especially when multiple units and shifts are involved.
Action: Add a conversion cost tab with three lines:
Training time (hours) × attendees × loaded hourly cost
Implementation support time (WOC nurse + educator + supply chain)
Conversion waste (old stock write-off + initial over-order while par levels stabilize)
Training costs are often the hidden reason value analysis projects fail: if bedside teams don’t understand the “why,” you can end up with workarounds that create more waste.
Done when: You can show payback both with and without conversion costs (so stakeholders see the one-time vs recurring picture).
Step 5: Reconcile cross-unit budgets (who pays vs who benefits)
Your prompt called out a common committee reality: savings and costs land in different buckets.
Action: Create a crosswalk that assigns each cost element to a budget owner:
Supply cost center (materials)
Nursing labor (unit staffing)
Wound care department (specialist time)
Infection control / quality (process monitoring)
Then add a line: “where savings show up.”
Done when: Your budget impact summary can be read two ways:
total hospital impact
impact by owner (so you don’t lose the room on “not my budget” friction)
Step 6: Run the model and pressure-test assumptions
Action: Build three outputs your CFO will actually look at:
Annual total cost-in-use by scenario
Cost drivers waterfall (materials vs labor vs waste/rework vs conversion)
Sensitivity table for 2–3 disputed assumptions
A practical sensitivity set:
planned wear time / change frequency
minutes per change
early-change rate
If you include inventory assumptions, be explicit about the tradeoff: just-in-time inventory can reduce overstock waste, but it can also increase shortage risk if demand or supply is volatile. A PubMed Central review of JIT in healthcare discusses both the waste benefits and resilience risks: “Just-in-time approach in healthcare inventory management” (2022).
Done when: You can answer: “What would have to be true for the recommendation to flip?”
Common modeling mistakes (and how to avoid them)
Unit price tunnel vision: comparing SKUs without modeling change frequency and nursing time.
Double-counting labor: mixing nursing labor costs into both “per change minutes” and a separate “workflow overhead” line.
Assuming one average patient: ignoring high-variance units that dominate spend.
Treating vendor claims as evidence: keep product pages for internal context; cite independent sources for any outcomes.
Ignoring conversion costs: training and stabilization time can wipe out year-one savings if you don’t budget them.
If your team wants a neutral checklist of evaluation criteria to align clinicians and procurement, you can also borrow a criteria-based approach (absorbency/fluid lock, edge seal, MARSI risk, wear time, portfolio breadth) like the one outlined in SLK Medical’s internal guide: “Best bordered silicone foam dressings” buying guide.
Next step: request the CFO-ready calculator template
If you want, I can package the structure above as a CFO-ready calculator template (with scenario tabs, budget-owner crosswalk, and sensitivity table).
Request the calculator template from SLK Medical: SLK Medical
