Evidence map›Paper›PMID 27091342›Full record

ArticleBMC medical education2016

Writing for publication: institutional support provides an enabling environment.

Beverley Kramer, Elena Libhaber

Abstract read
In one paragraph

Article in BMC medical education, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

2 authors.

Beverley KramerHealth Sciences Research Office, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa. Beverley.kramer@wits.ac.za.
Elena LibhaberHealth Sciences Research Office, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDue to the excessive service delivery loads in public hospitals supported by academic institutions in developing environments, researchers at these institutions have little time to develop scientific writing skills or to write up their research. It is imperative to expand the writing skills of researchers and train the next generation of health sciences academics in order to disseminate research findings. This study reports on the implementation of approaches for writing and publication and the extent of support to staff suffering from the overload of service delivery and of heavy teaching duties.

methodsWorkshops in scientific writing and writing retreats were initiated and were offered to all staff.

resultsFeedback from participants of the writing skills workshops indicated that the workshops provided an injection of confidence and proficiency. Protected writing time resulted in 132 papers submitted to journals and 95 in preparation from 230 participants of the writing retreats over a two year period. Staff commended the off-site, collegial environment, which also supported future collaboration with new-found colleagues.

conclusionThis enabling environment facilitates not only the development of writing skills per se, but also the dissemination of the generated scientific knowledge. In addition, the training in writing skills of this generation will be of value in the training of future cohorts in countries with similar health care deliverables.

Indexed as

PublishingResearchStaff DevelopmentTraining SupportWritingAcademic Medical CentersFemaleHumansMaleMedical StaffSouth AfricaWorkloadScientific writingWriting retreatsWriting skillsWriting workshops

Identifiers

PMID27091342
PMCPMC4835876

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.