Evidence map›Paper›PMID 41566322›Full record

ArticleBMC medical ethics2026

Assessing satisfaction and performance of the CUREC electronic submission system.

Waraya Krisnoi, Issaree Khemakanaka, Peeraphon Lueboonthavatchai, Prida Tasanapradit, Raveenan Mingpakanee, Nuntaree Chaichanawongsaroj

Abstract read
In one paragraph

Article in BMC medical ethics, 2026. 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
–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

0 citing papers in PubMed.

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

6 authors.

Waraya KrisnoiThe Research Ethics Review Committee for Research Involving Human Research Participants, Group I, Chulalongkorn University, Bangkok, 10330, Thailand.
Issaree KhemakanakaThe Research Ethics Review Committee for Research Involving Human Research Participants, Group I, Chulalongkorn University, Bangkok, 10330, Thailand.
Peeraphon LueboonthavatchaiThe Research Ethics Review Committee for Research Involving Human Research Participants, Group I, Chulalongkorn University, Bangkok, 10330, Thailand.
Prida TasanapraditThe Research Ethics Review Committee for Research Involving Human Research Participants, Group I, Chulalongkorn University, Bangkok, 10330, Thailand.
Raveenan MingpakaneeThe Research Ethics Review Committee for Research Involving Human Research Participants, Group I, Chulalongkorn University, Bangkok, 10330, Thailand.
Nuntaree ChaichanawongsarojThe Research Ethics Review Committee for Research Involving Human Research Participants, Group I, Chulalongkorn University, Bangkok, 10330, Thailand. nuntaree.c@chula.ac.th.

Funding

Ratchadapiseksomphot Endowment Fund, Chulalongkorn University 764002
6 · The paper itself

Abstract

backgroundIn Thailand, online electronic submission systems play an essential role in facilitating research review. Developing a system that addresses the diverse needs of all stakeholders remains a major challenge for the research committee. This study examined the satisfaction levels of researchers, committee members, and institutional review board (IRB) staff using the web-based Chulalongkorn University Research Ethics Committee (CUREC) submission system. It also compared the turnaround times of the previous paper-based submission process and the electronic system.

methodsA quantitative design employing tailored online questionnaires was used to assess satisfaction among all stakeholder groups. Descriptive statistics summarized the data. Turnaround time was compared across three phases: (1) paper-based submission (year 2021), (2) Electronic Phase I (transition period, January 2022–February 2024), and (3) Electronic Phase II (fully implemented, March–December 2024). Differences across phases were analyzed using the Kruskal–Wallis test.

resultsA total of 125 participants took part in the study, including 85 researchers, 38 committee members, and 2 IRB staffs. Among researchers, 28.2% were very satisfied, 51.8% satisfied, 18.8% neutral, and 1.2% dissatisfied. Committee members reported 51.4% very satisfied, 45.9% satisfied, and 2.7% neutral responses. Both IRB staff members were either very satisfied (50%) or satisfied 50%. The turnaround time for expedited reviews was significantly reduced in both Electronic Phase I and Phase II (p < 0.05), while exemption reviews significantly improved in Phase II (p < 0.05). No statistically significant change was observed for full board reviews; the median time to initial review and final approval in the paper-based system was 19 and 37 days, respectively and increased slightly to 23 and 39 days in Phase 1 and to 24 and 41 days in Phase II. There was an increase in the median of all type reviews combined in Phase I, and subsequently decreased in Phase II. This is also because of the modification of reviewers’ composition of the exemption review in Phase I and phase II and the expedited review time was significantly decreased since Phase I.

conclusionResearchers, committee members, and IRB staff expressed overall satisfaction with the CUREC electronic submission system. Although some review categories showed longer timelines, the electronic platform enhanced efficiency in certain review types and facilitated administrative processes. These findings provide insights for refining electronic submission platforms and advancing digital transformation in research ethics oversight.

Indexed as

Biomedical ResearchEthics Committees, ResearchInternetPersonal SatisfactionResearch PersonnelHumansSurveys and QuestionnairesThailandTime FactorsElectronic submission systemInstitutional review boardSatisfactionTurnaround time

Identifiers

PMID41566322
PMCPMC12910995

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.