Evidence map›Paper›PMID 29699559›Full record

ArticleBMC medical ethics2018

'Screening audit' as a quality assurance tool in good clinical practice compliant research environments.

Sinyoung Park, Chung Mo Nam, Sejung Park, Yang Hee Noh, Cho Rong Ahn, Wan Sun Yu, Bo Kyung Kim, Seung Min Kim, Jin Seok Kim, Sun Young Rha

Abstract readEvaluation Study
In one paragraph

Article in BMC medical ethics, 2018. 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
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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

10 authors.

Sinyoung ParkHuman research Protection Center, Severance Hospital, Yonsei University Health System, Seoul, Korea.
Chung Mo NamDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea.
Sejung ParkDepartment of Biostatistics, Yonsei University College of Medicine, Seoul, Korea.
Yang Hee NohHuman research Protection Center, Severance Hospital, Yonsei University Health System, Seoul, Korea.
Cho Rong AhnHuman research Protection Center, Severance Hospital, Yonsei University Health System, Seoul, Korea.
Wan Sun YuHuman research Protection Center, Severance Hospital, Yonsei University Health System, Seoul, Korea.
Bo Kyung KimHuman research Protection Center, Severance Hospital, Yonsei University Health System, Seoul, Korea.
Seung Min KimDepartment of Neurology, Yonsei University College of Medicine, Seoul, Korea.
Jin Seok KimHuman research Protection Center, Severance Hospital, Yonsei University Health System, Seoul, Korea.
Sun Young RhaHuman research Protection Center, Severance Hospital, Yonsei University Health System, Seoul, Korea. rha7655@yuhs.ac.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the growing amount of clinical research, regulations and research ethics are becoming more stringent. This trend introduces a need for quality assurance measures for ensuring adherence to research ethics and human research protection beyond Institutional Review Board approval. Audits, one of the most effective tools for assessing quality assurance, are measures used to evaluate Good Clinical Practice (GCP) and protocol compliance in clinical research. However, they are laborious, time consuming, and require expertise. Therefore, we developed a simple auditing process (a screening audit) and evaluated its feasibility and effectiveness.

methodsThe screening audit was developed using a routine audit checklist based on the Severance Hospital's Human Research Protection Program policies and procedures. The measure includes 20 questions, and results are summarized in five categories of audit findings. We analyzed 462 studies that were reviewed by the Severance Hospital Human Research Protection Center between 2013 and 2017. We retrospectively analyzed research characteristics, reply rate, audit findings, associated factors and post-screening audit compliance, etc.

resultsInvestigator reply rates gradually increased, except for the first year (73% → 26% → 53% → 49% → 55%). The studies were graded as "critical," "major," "minor," and "not a finding" (11.9, 39.0, 42.9, and 6.3%, respectively), based on findings and number of deficiencies. The auditors' decisions showed fair agreement with weighted kappa values of 0.316, 0.339, and 0.373. Low-risk level studies, single center studies, and non-phase clinical research showed more prevalent frequencies of being "major" or "critical" (p = 0.002, < 0.0001, < 0.0001, respectively). Inappropriateness of documents, failure to obtain informed consent, inappropriateness of informed consent process, and failure to protect participants' personal information were associated with higher audit grade (p < 0.0001, p = 0.0001, p < 0.0001, p = 0.003). We were able to observe critical GCP violations in the routine internal audit results of post-screening audit compliance checks in "non-responding" and "critical" studies upon applying the screening audit.

conclusionsOur screening audit is a simple and effective way to assess overall GCP compliance by institutions and to ensure medical ethics. The tool also provides useful selection criteria for conducting routine audits.

Indexed as

Codes of EthicsEthical AnalysisGuideline AdherenceQuality ControlBiomedical ResearchChecklistConfidentialityEthics, ResearchHospitalsHuman ExperimentationHumansInformed ConsentPolicyPrivacySurveys and QuestionnairesClinical researchQuality assuranceScreening audit

Identifiers

PMID29699559
PMCPMC5922013

What OpenQuestion holds

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LicenceCC BY
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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.