Evidence map›Paper›PMID 22655137›Full record

ArticleJournal of graduate medical education2011

Use of ecological momentary assessment to guide curricular change in graduate medical education.

Lisa L Willett, Carlos A Estrada, Terry C Wall, Heather L Coley, Julius Ngu, William Curry, Amanda Salanitro, Thomas K Houston

Abstract read
In one paragraph

Article in Journal of graduate medical education, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Context-Aware Delivery of Ecological Momentary Assessment.IEEE journal of biomedical and health informatics · 2020
    Article
  2. Article
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

8 authors.

Lisa L Willett
Carlos A Estrada
Terry C Wall
Heather L Coley
Julius Ngu
William Curry
Amanda Salanitro
Thomas K Houston

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess whether a novel evaluation tool could guide curricular change in an internal medicine residency program.

methodThe authors developed an 8-item Ecological Momentary Assessment tool and collected daily evaluations from residents of the relative educational value of 3 differing ambulatory morning report formats (scale: 8  =  best, 0  =  worst). From the evaluations, they made a targeted curricular change and used the tool to assess its impact.

resultsResidents completed 1388 evaluation cards for 223 sessions over 32 months, with a response rate of 75.3%. At baseline, there was a decline in perceived educational value with advancing postgraduate (PGY) year for the overall mean score (PGY-1, 7.4; PGY-2, 7.2; PGY-3, 7.0; P < .01) and for percentage reporting greater than 2 new things learned (PGY-1, 77%; PGY-2, 66%; PGY-3, 50%; P < .001). The authors replaced the format of a lower scoring session with one of higher cognitive content to target upper-level residents. The new session's mean score improved (7.1 to 7.4; P  =  .03); the adjusted odds ratios before and after the change for percentage answering, "Yes, definitely" to "Area I need to improve" was 2.53 (95% confidence interval [CI], 1.45-4.42; P  =  .001) and to "Would recommend to others," it was 2.08 (95% CI, 1.12-3.89; P  =  .05).

conclusionsThe Ecological Momentary Assessment tool successfully guided ambulatory morning report curricular changes and confirmed successful curricular impact. Ecological Momentary Assessment concepts of multiple, frequent, timely evaluations can be successfully applied in residency curriculum redesign.

Identifiers

PMID22655137
PMCPMC3184922

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.