ArticleJMIR research protocols2020
Mapping Evidence on Community-Based Clinical Education Models for Undergraduate Physiotherapy Students: Protocol for a Scoping Review.
Article in JMIR research protocols, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed, 3 citations in OpenAlex.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCommunity-based clinical training has been advocated as an excellent approach to transformation in clinical education. Clinical education for undergraduate physiotherapy students is a hands-on practical experience that aims to provide a student with the skills necessary to enable them to be fit to practice independently. However, in many countries, including South Africa, this training has been conducted only in large urban academic hospitals. Such hospitals are not a true reflection of the environment that these students will most likely be facing as practicing health care professionals.
objectiveThe objective of this scoping review is to map out existing evidence on community-based clinical education models for undergraduate physiotherapy students globally.
methodsA systematic scoping review will be based on the 2005 Arksey and O'Malley framework. Studies involving students and stakeholders in clinical education will be included. This review will not be limited by time of publication. An electronic search of relevant literature, including peer-reviewed primary studies and grey literature, will be conducted from the PubMed, Google Scholar, Medline, CINAHL, and Cochrane Library databases. The search strategy will include keywords such as "education," "physiotherapy," "undergraduate," "community-based," "training," "decentralized," and "distributed." Boolean logic will be used for each search string. Two independent reviewers will conduct screening of titles, abstracts, and full text before extracting articles. A predesigned data-charting table will supplement the extraction of data. Version 12 NVIVO software will aide in the thematic analysis of data.
resultsData collection will commence after publication of this protocol, and the results are expected to be obtained in the following 5 months.
conclusionsThe evidence obtained from the extracted data is expected to assist in the development of a model of community-based clinical education for undergraduate physiotherapy students in South Africa, and serve as a basis for future research. The discussion of this evidence will be guided by the research question utilizing a critical narrative approach to explore emerging themes. The enablers and barriers identified from the reviewed studies can guide the development of a community-based clinical education model. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/19039.
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Registered trials
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.