Evidence map›Paper›PMID 38968209›Full record

ArticlePloS one2024

Data quality assessment of the Enhanced Gonococcal Antimicrobial Surveillance Programme (EGASP), Thailand, 2015-2021.

Jaray Tongtoyai, Thitima Cherdtrakulkiat, Natnaree Girdthep, Silvina Masciotra, Santi Winaitham, Pongsathorn Sangprasert, Ekkachai Daengsaard, Anuparp Puangsoi, Rossaphorn Kittiyaowamarn, Eileen F Dunne and 4 more

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Jaray TongtoyaiDivision of HIV Prevention, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.ORCID 0000-0002-6929-6298
Thitima CherdtrakulkiatDivision of HIV Prevention, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.ORCID 0000-0001-5006-6145
Natnaree GirdthepDepartment of Disease Control, Thailand Ministry of Public Health, Nonthaburi, Thailand.ORCID 0000-0001-6888-2108
Silvina MasciotraDivision of HIV Prevention, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Santi WinaithamDivision of HIV Prevention, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.ORCID 0000-0001-6808-6398
Pongsathorn SangprasertDepartment of Disease Control, Thailand Ministry of Public Health, Nonthaburi, Thailand.ORCID 0009-0008-7470-8710
Ekkachai DaengsaardDepartment of Disease Control, Thailand Ministry of Public Health, Nonthaburi, Thailand.
Anuparp PuangsoiDepartment of Disease Control, Thailand Ministry of Public Health, Nonthaburi, Thailand.ORCID 0009-0004-2662-3334
Rossaphorn KittiyaowamarnDepartment of Disease Control, Thailand Ministry of Public Health, Nonthaburi, Thailand.
Eileen F DunneDivision of HIV Prevention, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Pachara SirivongrangsonDepartment of Disease Control, Thailand Ministry of Public Health, Nonthaburi, Thailand.
Andrew C HickeyDivision of HIV Prevention, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.ORCID 0000-0001-8087-9569
Emily WestonDivision of STD Prevention, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.ORCID 0000-0002-5749-1117
Rebekah M FranksonDivision of STD Prevention, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.ORCID 0000-0002-6191-8398

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundQuality assessments of gonococcal surveillance data are critical to improve data validity and to enhance the value of surveillance findings. Detecting data errors by systematic audits identifies areas for quality improvement. We designed and implemented an internal audit process to evaluate the accuracy and completeness of surveillance data for the Thailand Enhanced Gonococcal Antimicrobial Surveillance Programme (EGASP).

methodsWe conducted a data quality audit of source records by comparison with the data stored in the EGASP database for five audit cycles from 2015-2021. Ten percent of culture-confirmed cases of Neisseria gonorrhoeae were randomly sampled along with any cases identified with elevated antimicrobial susceptibility testing results and cases with repeat infections. Incorrect and incomplete data were investigated, and corrective action and preventive actions (CAPA) were implemented. Accuracy was defined as the percentage of identical data in both the source records and the database. Completeness was defined as the percentage of non-missing data from either the source document or the database. Statistical analyses were performed using the t-test and the Fisher's exact test.

resultsWe sampled and reviewed 70, 162, 85, 68, and 46 EGASP records during the five audit cycles. Overall accuracy and completeness in the five audit cycles ranged from 93.6% to 99.4% and 95.0% to 99.9%, respectively. Overall, completeness was significantly higher than accuracy (p = 0.017). For each laboratory and clinical data element, concordance was >85% in all audit cycles except for two laboratory data elements in two audit cycles. These elements significantly improved following identification and CAPA implementation. DISCUSSION: We found a high level of data accuracy and completeness in the five audit cycles. The implementation of the audit process identified areas for improvement. Systematic quality assessments of laboratory and clinical data ensure high quality EGASP surveillance data to monitor for antimicrobial resistant Neisseria gonorrhoeae in Thailand.

Indexed as

Data AccuracyGonorrheaNeisseria gonorrhoeaeAnti-Bacterial AgentsDatabases, FactualDrug Resistance, BacterialHumansMicrobial Sensitivity TestsPopulation SurveillanceThailandAnti-Bacterial Agents

Identifiers

PMID38968209
PMCPMC11226028

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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.