Evidence map›Paper›PMID 29946390›Full record

ArticleJournal of graduate medical education2018

X + Y = Time for QI: Meaningful Engagement of Residents in Quality Improvement During the Ambulatory Block.

Krista M Johnson, Wendy Fiordellisi, Ethan Kuperman, Alexis Wickersham, Carly Kuehn, Aparna Kamath, Joseph Szot, Manish Suneja

Abstract read
In one paragraph

Article in Journal of graduate medical education, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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.

Krista M Johnson
Wendy Fiordellisi
Ethan Kuperman
Alexis Wickersham
Carly Kuehn
Aparna Kamath
Joseph Szot
Manish Suneja

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMeaningful resident engagement in quality improvement (QI) remains challenging. Barriers include a lack of time and of faculty with QI expertise. We leveraged our internal medicine (IM) residency program's adoption of an "X" (inpatient rotations) plus "Y" (ambulatory block) schedule to implement a QI curriculum for all residents during their ambulatory block.

objectiveWe sought to engage residents in interprofessional QI, improve residents' QI confidence and knowledge and application to practice, and create opportunities for QI scholarship.

methodsIn July 2015, the program provided dedicated time for QI in the ambulatory block. All categorical IM residents and 11 voluntary faculty mentors were divided into 10 teams based on clinic site and "Y" block schedule. Teams participated in resident-led, interprofessional ambulatory QI projects. Resident QI knowledge and confidence were assessed before the curriculum and 11 months after using the Quality Improvement Knowledge Application Tool-Revised (QIKAT-R) and surveys. QI project implementation and scholarship were tracked.

resultsAll categorical residents (N = 81) participated. Residents reported increased confidence in all QI skills, and they demonstrated increased knowledge, with mean QIKAT-R paired scores improving from 15.8 ± 4.6 to 19.1 ± 5.9 (n = 45 pairs,

conclusionsThis ongoing curriculum engaged IM and IM-psychiatry residents in QI during their ambulatory block using volunteer clinic faculty mentors. Residents demonstrated improved QI confidence and knowledge. The majority of resident projects were sustained and generated scholarship.

Indexed as

CurriculumInternship and ResidencyQuality ImprovementEducation, Medical, GraduateHumansInternal MedicineProgram EvaluationPsychiatrySurveys and Questionnaires

Identifiers

PMID29946390
PMCPMC6008036

What OpenQuestion holds

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Registered trials

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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.