Rachel Gottlieb-Smith, MD, MHPE Profile picture
#ChildNeurologist ๐Ÿง  & Residency Program Director #umichchildneuro @MottChildren โ€ข @JournalofGME Associate Editor โ€ข #MedEd โ€ข ๐ŸŽพ โ€ข She/Her โ€ข Views my own

Jan 22, 2022, 7 tweets

1/
What's the best strategy for effective - and time efficient - teaching in clinic?

A ๐Ÿงต for 4โƒฃ teaching strategies when ๐Ÿ•— is limited (& how they might be used in #neurology)

#MedEd #NeuroTwitter

pubmed.ncbi.nlm.nih.gov/18276715/
pubmed.ncbi.nlm.nih.gov/29383053/

2/
1โƒฃ One-minute preceptor (initially called: 5-step microskills)
pubmed.ncbi.nlm.nih.gov/1496899/

5 steps & examples ๐Ÿ‘‡

Pros:
โœ… Assess learner's knowledge
โœ… ๐Ÿ‘ & constructive feedback "built in"
โœ… Clinical reasoning
โœ… Good for novice learners

Cons:
โ›”๏ธ "1 min" is a bit unrealistic

3/
2โƒฃ SNAPPS
pubmed.ncbi.nlm.nih.gov/14507619/

Pros:
โœ… Very learner-driven
โœ… Aligns well w/ traditional presentation model
โœ… Clinical reasoning

Cons:
โ›”๏ธ May not work as well for novice learners

4/
3โƒฃ SPIT

Pros:
โœ… Fast
โœ… Broaden DDx
โœ… In addition to traditional serious & probable lists, this emphasizes treatable
(A few of many examples in #childneurology: SMA, tidebc.org, P5P-dependent epilepsy)

Cons:
โ›”๏ธ Not as robust a model, but can be combined

5/
4โƒฃ Aunt Minnie
pubmed.ncbi.nlm.nih.gov/9988240/

Pros:
โœ… Pattern recognition
โœ… Requires learners to commit

Cons:
โ›”๏ธ May promote snap judgments
โ›”๏ธ I can't see this working as well with longer histories

6/
SUMMARY

4 models of teaching when time is limited:
1โƒฃ One-minute preceptor: probing Q's
2โƒฃ SNAPPS: learner-driven
3โƒฃ SPIT: serious, probable, interesting, treatable
4โƒฃ Aunt Minnie: pattern recognition

7/
So which strategy do you think is best?

(Another suggestion? Comment ๐Ÿ‘‡!)

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