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Assessment of a block curriculum design on medical postgraduates’ perception towards biostatistics: a cohort study

Overview of attention for article published in BMC Medical Education, June 2018
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Title
Assessment of a block curriculum design on medical postgraduates’ perception towards biostatistics: a cohort study
Published in
BMC Medical Education, June 2018
DOI 10.1186/s12909-018-1232-0
Pubmed ID
Authors

Chen Li, Ling Wang, Yuhai Zhang, Chanjuan Li, Yongyong Xu, Lei Shang, Jielai Xia

Abstract

Biostatistics is a key but challenging subject in medical curricula that is usually delivered via a didactic approach in China. However, whether it is the best teaching approach to improve the learner's competency, especially for medical postgraduates is yet to be proved. Therefore, a block curriculum design was initially developed to provide selective education to the postgraduates towards the professional career of their interest. A questionnaire was designed to assess the students' perceptions toward biostatistics as these affective factors might impact the learning process. Thus, the present study aimed to detect whether the new block curriculum design could promote the students' positive perceptions and further improve the course achievement. This cohort study investigated and assessed the perceptions toward biostatistics of the first-year postgraduates undergoing traditional teaching and block teaching, respectively. Structural equation modeling was applied to explore the association between perception and course achievement in the block teaching group. With a response rate of 97.84 and 96.67% from the two cohorts respectively, 499 block teaching postgraduates had more positive perceptions as compared to 465 traditionally teaching postgraduates with Likert 5-point agreement response mean of 3.50 vs. 3.31 for course value, 3.66 vs. 2.97 for course comment, and 4.29 vs. 4.10 for expectation. Moreover, block teaching students presented superior confidence about academic statistical knowledge, and therefore, 77.96% of them approved of the new teaching approach. Age, specialty, research experience, logical thinking capacity, mathematical basics, and computer basics might influence the postgraduates' self-assessment ability (all P < 0.05). Structural equation modeling confirmed a positive correlation between perceptions and the course achievements with a reasonable fit. The block curriculum design in the biostatistics course improved the postgraduates' positive perception and may have had a positive role in improving postgraduates' achievement in learning biostatistics.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 85 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 13%
Researcher 9 11%
Lecturer 7 8%
Student > Master 6 7%
Student > Ph. D. Student 6 7%
Other 18 21%
Unknown 28 33%
Readers by discipline Count As %
Medicine and Dentistry 21 25%
Nursing and Health Professions 8 9%
Mathematics 6 7%
Psychology 3 4%
Business, Management and Accounting 2 2%
Other 8 9%
Unknown 37 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 September 2018.
All research outputs
#15,010,626
of 23,090,520 outputs
Outputs from BMC Medical Education
#2,182
of 3,384 outputs
Outputs of similar age
#197,261
of 328,030 outputs
Outputs of similar age from BMC Medical Education
#56
of 87 outputs
Altmetric has tracked 23,090,520 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,384 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 328,030 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.