Evidence map›Paper›PMID 24701314›Full record

ArticleJournal of graduate medical education2014

Feasibility and validation of real-time patient evaluations of internal medicine interns' communication and professionalism skills.

C Jessica Dine, Stefanie Ruffolo, Jennifer Lapin, Judy A Shea, Jennifer R Kogan

Abstract read
In one paragraph

Article in Journal of graduate medical education, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Assessing Interpersonal and Communication Skills.Journal of graduate medical education · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

5 authors.

C Jessica Dine
Stefanie Ruffolo
Jennifer Lapin
Judy A Shea
Jennifer R Kogan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResidents receive little information about how they interact with patients.

objectiveThis pilot study assessed the feasibility and validity of a new 16-item tool developed to assess patients' perspectives of interns' communication skills and professionalism and the team's communication.

methodsFeasibility was determined by the percentage of surveys completed, the average time for survey completion, the percentage of target interns evaluated, and the mean number of evaluations per intern. Generalizability was analyzed using an (evaluator:evaluatee) × item model. Simulated D studies estimated optimal numbers of items and evaluators. Factor analysis with varimax rotation was used to examine the structure of the items. Scores were correlated with other measures of communication and professionalism for validation.

resultsMost patients (225 of 305 [74%]) completed the evaluation. Each survey took approximately 6.3 minutes to complete. In 43 days over 18 weeks, 45 of 50 interns (90%) were evaluated an average of 4.6 times. Fifty evaluations would be required to reach a minimally acceptable coefficient (0.57). Two factor structures were identified. The evaluation did not correlate with faculty evaluations of resident communication but did correlate weakly (r  =  0.140, P  =  .04) with standardized patient evaluations.

conclusionsA large number of patient evaluations are needed to reliably assess intern and team communication skills. Evaluations by patients add a perspective in assessing these skills that is different from those of faculty evaluations. Future work will focus on whether this new information adds to existing evaluation systems and warrants the added effort.

Identifiers

PMID24701314
PMCPMC3963799

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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.