Evidence map›Paper›PMID 31428261›Full record

ArticleJournal of graduate medical education2019

Using the Postgraduate Hospital Educational Environment Measure to Identify Areas for Improvement in a Singaporean Residency Program.

Andrew Ming-Liang Ong, Warren Weng-Seng Fong, Adrian Kwok-Wai Chan, Ghee-Chee Phua, Chee-Kian Tham

Abstract read
In one paragraph

Article in Journal of graduate medical education, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

5 authors.

Andrew Ming-Liang Ong
Warren Weng-Seng Fong
Adrian Kwok-Wai Chan
Ghee-Chee Phua
Chee-Kian Tham

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAttributes of the clinical learning environment (CLE) are a measure of quality in postgraduate medical education, and assessing the CLE is a component of the New Accreditation System being introduced in Singapore by the Accreditation Council for Graduate Medical Education International. There is a dearth of published studies of CLE quality in Singapore.

objectiveOur study had 3 aims: (1) to measure the CLE in 1 Singaporean residency program; (2) to compare trainee perceptions by sex, training level, and experience; and (3) to identify areas for improvement.

methodsBetween October and December 2017, we conducted a mixed assessment of the CLE in an internal medicine program in Singapore, using the Postgraduate Hospital Educational Environment Measure (PHEEM) and qualitative exploration using a focus group.

resultsOf 153 IM residents, 136 (89%) provided PHEEM responses and 8 participated in the focus group. Total PHEEM scores and scores for the 3 subscales were higher than published data on the use of the PHEEM in international settings. Exploration of selected PHEEM responses via a focus group identified attributes associated with negative perceptions of the CLE: excessive workload, inadequate faculty presence in the CLE, and unmet trainee needs. It also suggested senior residents' clinical workloads, greater responsibilities, and pending examinations may contribute to their less positive perceptions of the CLE.

conclusionsOur analysis using the PHEEM showed overall positive perceptions of the CLE, along with areas for improvement amenable to interventions. Our approach has relevance to an accreditation model with ongoing evaluation of the CLE.

Indexed as

Internship and ResidencyQuality ImprovementAccreditationAdultEducation, Medical, GraduateFemaleFocus GroupsHumansInternal MedicineMaleSingaporeSurveys and QuestionnairesWorkload

Identifiers

PMID31428261
PMCPMC6697311

What OpenQuestion holds

Textmetadata
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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.