Evidence map›Paper›PMID 28086959›Full record

ArticleBMC research notes2017

E-learning programs in oncology: a nationwide experience from 2005 to 2014.

Jan Degerfält, Staffan Sjöstedt, Per Fransson, Elisabeth Kjellén, Mads U Werner

Abstract read
In one paragraph

Article in BMC research notes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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.

Jan DegerfältDepartment of Clinical Sciences, Division of Oncology and Pathology, Lund University, Barngatan 2B, 221 85, Lund, Sweden.
Staffan SjöstedtLäraNära AB, Drottninggatan 11, 252 21, Helsingborg, Sweden.
Per FranssonDepartment of Nursing, Umeå University, 901 87, Umeå, Sweden.
Elisabeth KjellénDepartment of Clinical Sciences, Division of Oncology and Pathology, Lund University, Barngatan 2B, 221 85, Lund, Sweden.
Mads U WernerDepartment of Clinical Sciences, Division of Oncology and Pathology, Lund University, Barngatan 2B, 221 85, Lund, Sweden. mads.u.werner@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundE-learning is an established concept in oncological education and training. However, there seems to be a scarcity of long-term assessments of E-learning programs in oncology vis-á-vis their structural management and didactic value. This study presents descriptive, nationwide data from 2005 to 2014. E-learning oncology programs in chemotherapy, general oncology, pain management, palliative care, psycho-social-oncology, and radiotherapy, were reviewed from our databases. Questionnaires of self-perceived didactic value of the programs were examined 2008-2014.

resultsThe total number of trainees were 4693, allocated to 3889 individuals. The trainees included medical doctors (MDs; n = 759), registered nurses (RNs; n = 2359), radiation therapy technologists (n = 642), and, social and health care assistants (SHCAs; n = 933). The E-learning covered 29 different program classifications, comprising 731 recorded presentations, and covering 438 themes. A total of 490 programs were completed by the trainees. The European Credit Transfer and Accumulation System (ECTS; 1 ECTS point equals 0.60 US College Credit Hours) points varied across the educational programs from 0.7 to 30.0, corresponding to a duration of full-time studies ranging between 15 to 900 h (0.4-24 weeks) per program. The total number of ECTS points for the trainee cohort, was 20,000 corresponding to 530,000 full-time academic hours or 324.0 standard academic working years. The overall drop-out rate, across professions and programs, was 10.6% (499/4693). The lowest drop-out rate was seen for RNs (4.3%; P < 0.0001). Self-reported evaluation questionnaires (2008-2014) were completed by 72.1% (2642/3666) of the trainees. The programs were overall rated, on a 5-categorical scale (5 = excellent; 1 = very inferior), as excellent by 68.6% (MDs: 64.9%; RNs: 66.8%; SHCAs: 77.7%) and as good by 30.6% (MDs: 34.5%; RNs: 32.4%; SHCAs: 21.5%) of the responders.

conclusionsThis descriptive study, performed in a lengthy timeframe, presents high-volume data from multi-professional, oncological E-learning programs. While the E-learning paradigm, across professions, seems to have been well received, it is imperative that prospective studies, benchmarking against traditional training methods, are carried out, examining the hypothesized didactic value of our E-programs.

Indexed as

InternetLearningDenmarkHumansMedical OncologyOncology NursingCytostatic agentsDistance educationMedical oncologyPainPersonal satisfactionProfessional educationQuality improvementQuestionnairesRadiation oncology

Identifiers

PMID28086959
PMCPMC5234116

What OpenQuestion holds

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LicenceCC BY
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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.