Evidence map›Paper›PMID 36937132›Full record

ArticleCureus2023

An Interactive Module to Teach Common Biostatistical Tests to Learners in the Health Professions.

Patricia M Hayes, Alan Cherney, Dimitrios Papanagnou

Full text read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
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

3 authors.

Patricia M HayesEmergency Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, USA.
Alan CherneyEmergency Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, USA.
Dimitrios PapanagnouEmergency Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biostatistics are ubiquitous in medicine, providing quantitative insights into trials and experiments that shape the healthcare field. Despite training in evidence-based medicine, medical students and residents struggle to master biostatistical concepts and apply biostatistics to appraise research. There are limited resources available for students to quickly and cost-effectively learn biostatistical tests. From this problem, a two-part biostatistical educational module was created using Rise Articulate 360® software, an interactive module platform. The study aimed to assess the effectiveness of an educational biostatistics module's ability to improve learners' knowledge and application of commonly used biostatistical tests, as well as their confidence in biostatistics. Each part of the module contained five biostatistical test tutorials. Each biostatistical test was explained, as well as how the test was typically applied in healthcare. Knowledge acquisition, test application, and confidence regarding biostatistical tests were assessed using a pretest and a posttest. The module was completed by 33 first- and second-year medical students.  Knowledge acquisition improved from a mean of 2.41 to 3.53 (

Indexed as

asynchronous curriculumbiostatisticsepidemiologyonline moduleself-paced learningundergraduate medical education

Identifiers

PMID36937132
PMCPMC10016750

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read6
Read underepoch 390

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.