Evidence map›Paper›PMID 41953374›Full record

ArticleJournal of CME2026

Number Needed to Teach (N2T2): Bringing Additional Context to the Evaluation of CME Outcomes.

Derek T Dietze

Abstract read
In one paragraph

Article in Journal of CME, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Derek T DietzeMetrics for Learning, Queen Creek, AZ, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Number needed to treat is a well-established concept in medicine that distils the benefit of a clinical intervention into a single, intuitive value. This paper discusses practical applications of number needed to teach (N2T2), a parallel metric for continuing medical education that quantifies the number of learners who must complete an activity and evaluation for one to achieve a meaningful educational benefit. While the concept has been considered in graduate education of future healthcare professionals, this paper describes the rationale and practical application of N2T2 using a hypothetical example focused on glycaemic status monitoring in type 2 diabetes for CE/CME professionals and participants. By applying pre- and post-activity assessment data to a prespecified improvement threshold, educators can calculate N2T2 to summarise learner gains in knowledge, competence, or performance. Methodological considerations such as paired versus unpaired responses, activity context, learner baseline proficiency and alignment with SMART, Link-SMART and TACT objectives are discussed. It is important to emphasise that N2T2 should be interpreted within the specific context of each activity's goals, audience and outcomes. In the absence of systematic use or established benchmarks for N2T2, early adoption and shared learning within the community are encouraged. N2T2 offers a complementary tool for expressing educational impact clearly and consistently, particularly when applied to longitudinal programmes or multi-activity outcomes. As with number needed to treat in medicine, N2T2 has the potential to bring greater clarity and practicality to how we understand and communicate the value of education. N2T2 is a timely and accessible innovation as we continue to refine educational outcomes measurement together.

Indexed as

Continuing medical educationeducational outcomes measurementeffectivenessevaluationimprovementmetricsnumber needed to teach

Identifiers

PMID41953374
PMCPMC13055032

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.