Operations
Part of Healthcare Content Marketing: The Parts Worth Your Attention
How to Benchmark Healthcare Content Marketing
healthcare content marketing benchmarks for 2027 measure understandability and actionability, preserve context, expose missing data, and drive decisions.
What to take away
- Build a baseline from the same asset, audience, task, and method.
- Understandability and actionability are different dimensions.
- A benchmark matters only when it changes a content or service decision.
Healthcare content marketing benchmarks become misleading when teams mix channels, audiences, services, definitions, or time periods. Begin with the decision and a controlled internal baseline.
Score material with a defined instrument
AHRQ describes the Patient Education Materials Assessment Tool as a systematic method for assessing and comparing the understandability and actionability of print and audiovisual patient education materials. The two domains should remain separate because a clear explanation may still lack a usable action.
Record which version of the instrument, material format, rater instructions, reviewers, exclusions, and scoring date were used. Train raters on a small sample and resolve process questions before comparing a larger library. Do not label a score as patient comprehension or behavior unless those outcomes were actually tested.
Calculate and interpret consistently
For an internal dashboard, apply the same calculation to every asset in the comparison. Segment only when the group is large enough and the distinction supports a decision. Pair scores with observed paraphrase and task tests, complaints, accessibility findings, maintenance status, and service outcomes.
AHRQ's instructions for the PEMAT for printable materials explain its agree, disagree, and not-applicable ratings and calculate separate percentage scores from eligible understandability and actionability items. The page notes that higher scores indicate more understandable or actionable material within the instrument's scope.
| Benchmark | Context to preserve | Decision |
|---|---|---|
| Understandability | Instrument, raters, format | Rewrite or test |
| Actionability | Task and eligible items | Add usable steps |
| Completion | Audience and route | Repair the journey |
| Correction time | Severity and destinations | Improve governance |
| Full cost | Review and maintenance | Fund or retire |
Avoid universal targets without comparable evidence. Picture the spread on an illustrative 40-item print library. Most items fall between 70% and 90% understandability, a few sit near 50%, and a median near 82% hides those weak assets.
Show missing, disputed, and failed tests. A lower score can still identify a valuable repair, while a high score cannot prove clinical accuracy or a health outcome.
Build a benchmark card
For each reported number, include the asset, audience, task, channel, dates, instrument or event definition, eligible denominator, exclusions, missing data, owner, and decision threshold. Add the latest material changes and any concurrent service changes.
An example card for one handout, with illustrative figures:
- Asset
- discharge instructions, version 6, revised March 2025.
- Audience
- adult patients leaving a medical unit.
- Task
- decide whether to call the clinic after discharge.
- Channel
- printed packet handed over at discharge.
- Dates
- collected 1 to 30 June 2025.
- Instrument
- PEMAT print version, two trained raters.
- Understandability
- 80%, from 16 of 20 eligible items.
- Actionability
- 60%, from 3 of 5 eligible items.
- Not applicable
- 3 items, excluded from both denominators.
- Missing data
- one rater left two actionability items unrated.
- Owner
- patient education lead.
- Threshold
- rewrite any asset below 70% actionability.
- Guardrails
- two complaints about unclear call instructions, median correction time 14 days.
- Decision
- rewrite the call section, retest in September 2025.
Treat these figures as a template and replace them with your own counts.
Report both the result and the guardrails, such as complaints, wrong actions, wait time, accessibility failures, staff burden, and correction speed. A benchmark card lets another reviewer reproduce the comparison and stops a favorable percentage from drifting away from its conditions. Retire the benchmark when those conditions no longer match.
Public options help when there is no internal baseline. The CDC Clear Communication Index scores a health material for clear communication. Google Analytics 4 offers an opt-in benchmarking report that compares your property with peer sites in the same industry category. For service experience, Medicare Care Compare publishes national and state HCAHPS averages.
Make the comparison reproducible
The GAO evaluation design guide ties evaluation questions to evidence needs and design choices, a discipline that applies to healthcare content marketing benchmarks but does not make a local result causal.
The NIST experimental design selection guidance starts design choice with the objective and practical constraints, which supports separating benchmark reporting from controlled effect estimates rather than treating observation as causation.
Keep market context separate from an internal target. Recalculate the figure from the cited source or governed dataset, then record any mismatch. A benchmark becomes useful only after the local team explains why the comparison group and method fit the decision.
For healthcare content marketing benchmarks, keep the evidence record beside the decision so a reviewer can reproduce the reasoning without relying on memory.
Common questions
What is a good content score?
Use the instrument's instructions and a comparable internal baseline, then connect the result to a defined decision.
Can engagement replace comprehension testing?
No. A view or click does not show what a person understood or whether the next step was correct.
Should teams publish one average?
Show distributions, denominators, scope, missingness, and material subgroup differences when they affect action.
