Evidence map›Paper›PMID 37559039›Full record

ArticleBMC medical education2023

Novel innovative computer-based test (Inno-CBT) item types for national licensing examinations for health care professionals.

Kwang-Hoon Chun, Hye Kyung Jin, Jeong-Hyun Yoon, Myeong Gyu Kim, Kyung Hee Choi, Eunyoung Kim, Hyunah Kim, Jin-Ki Kim, Gyudong Kim, Kyungim Kim and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical education, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 30% of its field
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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

14 authors at 12 institutions in 1 country.

Kwang-Hoon Chun *Gachon Institute of Pharmaceutical Sciences, College of Pharmacy, Gachon University, Incheon, South Korea.
Hye Kyung Jin *College of Pharmacy, Dongguk University-Seoul, Goyang, South Korea.
Jeong-Hyun YoonCollege of Pharmacy, Pusan National University, Busan, South Korea.
Myeong Gyu KimCollege of Pharmacy and Graduate School of Pharmaceutical Sciences, Ewha Womans University, Seoul, South Korea.
Kyung Hee ChoiCollege of Pharmacy, Gachon University, Incheon, South Korea.
Eunyoung KimDepartment of Health, Social and Clinical Pharmacy, College of Pharmacy, Chung-Ang University, Seoul, South Korea.
Hyunah KimCollege of Pharmacy, Sookmyung Women's University, Seoul, South Korea.
Jin-Ki KimCollege of Pharmacy, Institute of Pharmaceutical Science and Technology, Hanyang University, Ansan, South Korea.
Gyudong KimCollege of Pharmacy, Chonnam National University, Gwangju, South Korea.
Kyungim KimCollege of Pharmacy, Korea University, Sejong, South Korea.
Ju-Yeun LeeCollege of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, South Korea.
Eun Kyoung ChungDepartment of Pharmacy, College of Pharmacy, Kyung Hee University, Seoul, South Korea.
Young Sook Lee *College of Pharmacy, Keimyung University, Daegu, South Korea. youngslee@kmu.ac.kr.
Sandy Jeong Rhie *College of Pharmacy and Graduate School of Pharmaceutical Sciences, Ewha Womans University, Seoul, South Korea. sandy.rhie@ewha.ac.kr.
Ewha Womans University · KRGachon University · KRChonnam National University · KRChung-Ang University · KRDongguk University · KRHanyang University · KRKeimyung College University · KRKorea University · KRKyung Hee University · KRPusan National University · KRSeoul National University · KRSookmyung Women's University · KR

Funding

Korea Health Personnel Licensing Examination Institute RE02-2203-02Ministry of Science and ICT, South Korea 2020R1A2C1009224
6 · The paper itself

Abstract

backgroundAn effective test mechanism to evaluate clinical knowledge and skills of the entry-level healthcare professionals is important for providing clinical competency and improving patient care. This study aimed to develop novel, innovative computer-based test (Inno-CBT) item types for application in the national examination of Korean healthcare professionals.

methodsThis exploratory study was conducted from May 2021 to March 2022 by a team of faculty members from pharmacy schools in South Korea. A literature search using PubMed, Google Scholar, RISS, Web of Science, and KoreaMed was performed. Forum presentations, media articles, and previous reports by the Korea Health Personnel Licensing Examination Institute (KHPLEI) were included. Workshops were held, information and ideas were collected and conceptualized, and item types were designed, drafted, and refined. By repeating this process, the Inno-CBT item types were finalized.

resultsForty-one Inno-CBT item types with 28 subtypes were developed. New digital technologies, such as a reactive responsive media interface, an animation insertion, multimedia embedding, and network surfing, were utilized in these novel types. It was anticipated that these Inno-CBT item types would effectively measure abilities in healthcare knowledge, problem-solving skills, and professional behaviors. Some potential barriers to implementing the Inno-CBT item types include item difficulty, operational unfamiliarity, complexity in scoring protocols, and network security.

conclusionsA variety of styles of novel Inno-CBT item types were developed to evaluate the multifaceted and in-depth professional abilities required for healthcare professionals. Prior to implementing these item types in the national examination, item validation and technical support should be conducted.

Indexed as

Health PersonnelLicensureComputersFacultyHumansRepublic of KoreaComputer-based testExaminationHealth PersonnelInnovative CBT item typesLicensure

Identifiers

PMID37559039
PMCPMC10410778
OpenAlexW4385705334

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.