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Data quality in an HIV vaccine efficacy clinical trial in South Africa: through natural disasters and with discipline
BACKGROUND: To produce quality data that informs valid clinical trial results and withstands regulatory inspection, trial sites should adhere to many complex and dynamic requirements. Understanding non-conformance to requirements informs the emerging field of improvement science. We describe protoco...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10290289/ https://www.ncbi.nlm.nih.gov/pubmed/37355583 http://dx.doi.org/10.1186/s12874-023-01967-9 |
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author | Laher, Fatima Malahleha, Mookho Ramirez, Shelly Brumskine, William Otwombe, Kennedy Moodie, Zoe Allen, Mary |
author_facet | Laher, Fatima Malahleha, Mookho Ramirez, Shelly Brumskine, William Otwombe, Kennedy Moodie, Zoe Allen, Mary |
author_sort | Laher, Fatima |
collection | PubMed |
description | BACKGROUND: To produce quality data that informs valid clinical trial results and withstands regulatory inspection, trial sites should adhere to many complex and dynamic requirements. Understanding non-conformance to requirements informs the emerging field of improvement science. We describe protocol deviations in South Africa’s largest HIV vaccine efficacy trial. METHODS: We analysed data from the HVTN 702 trial using mixed methods. We obtained descriptive statistics, from protocol deviation case report forms collected from 2016–2022, of deviation by participant, trial site, and time to site awareness. We thematically analysed text narratives of deviation descriptions, corrective and preventive actions, generating categories, codes and themes which emerged from the data. RESULTS: For 5407 enrollments, 4074 protocol deviations were reported (75 [95% CI: 73.0–77.6] deviations per 100 enrolments). There was a median of 1 protocol deviation per participant (IQR 1–2). Median time from deviation to site awareness was 31 days (IQR 0–146). The most common category of deviation type was omitted data and/or procedures (69%), and 54% of these omissions were stated to have arisen because of the national lockdown at the beginning of the COVID-19 pandemic. The ratio of protocol deviations to cumulative enrolments was highest in the year 2020 (0.34). Major themes of deviations were: COVID-19 and climate disasters giving rise to deviation trends, subroutines introducing an opportunity for deviation, and document fragmentation (such as requirements dispersed across multiple guidance documents) as an obstacle. Preventive action categories were: no preventive measures; discipline, training and/or awareness; quality review, checking and verifying and changing the process and/or implementation tools. Major themes of preventive actions were that systems-based actions are unusual, with people-based actions dominating, and that root cause analysis was rarely mentioned. CONCLUSIONS: In the age of infectious and climate disaster risks, trials may benefit from simple study designs and trial-related documents. To optimise protocol adherence, sponsors and sites should consider ongoing training, and routinely review deviation reports with a view to adjusting processes. These data quality lessons may inform future trial design, training and implementation. TRIAL REGISTRATION: HVTN 702 was registered with the South African National Clinical Trials Register (DOH-27–0916-5327) and ClinicalTrials.gov (NCT02968849). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-023-01967-9. |
format | Online Article Text |
id | pubmed-10290289 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-102902892023-06-25 Data quality in an HIV vaccine efficacy clinical trial in South Africa: through natural disasters and with discipline Laher, Fatima Malahleha, Mookho Ramirez, Shelly Brumskine, William Otwombe, Kennedy Moodie, Zoe Allen, Mary BMC Med Res Methodol Research BACKGROUND: To produce quality data that informs valid clinical trial results and withstands regulatory inspection, trial sites should adhere to many complex and dynamic requirements. Understanding non-conformance to requirements informs the emerging field of improvement science. We describe protocol deviations in South Africa’s largest HIV vaccine efficacy trial. METHODS: We analysed data from the HVTN 702 trial using mixed methods. We obtained descriptive statistics, from protocol deviation case report forms collected from 2016–2022, of deviation by participant, trial site, and time to site awareness. We thematically analysed text narratives of deviation descriptions, corrective and preventive actions, generating categories, codes and themes which emerged from the data. RESULTS: For 5407 enrollments, 4074 protocol deviations were reported (75 [95% CI: 73.0–77.6] deviations per 100 enrolments). There was a median of 1 protocol deviation per participant (IQR 1–2). Median time from deviation to site awareness was 31 days (IQR 0–146). The most common category of deviation type was omitted data and/or procedures (69%), and 54% of these omissions were stated to have arisen because of the national lockdown at the beginning of the COVID-19 pandemic. The ratio of protocol deviations to cumulative enrolments was highest in the year 2020 (0.34). Major themes of deviations were: COVID-19 and climate disasters giving rise to deviation trends, subroutines introducing an opportunity for deviation, and document fragmentation (such as requirements dispersed across multiple guidance documents) as an obstacle. Preventive action categories were: no preventive measures; discipline, training and/or awareness; quality review, checking and verifying and changing the process and/or implementation tools. Major themes of preventive actions were that systems-based actions are unusual, with people-based actions dominating, and that root cause analysis was rarely mentioned. CONCLUSIONS: In the age of infectious and climate disaster risks, trials may benefit from simple study designs and trial-related documents. To optimise protocol adherence, sponsors and sites should consider ongoing training, and routinely review deviation reports with a view to adjusting processes. These data quality lessons may inform future trial design, training and implementation. TRIAL REGISTRATION: HVTN 702 was registered with the South African National Clinical Trials Register (DOH-27–0916-5327) and ClinicalTrials.gov (NCT02968849). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-023-01967-9. BioMed Central 2023-06-24 /pmc/articles/PMC10290289/ /pubmed/37355583 http://dx.doi.org/10.1186/s12874-023-01967-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Laher, Fatima Malahleha, Mookho Ramirez, Shelly Brumskine, William Otwombe, Kennedy Moodie, Zoe Allen, Mary Data quality in an HIV vaccine efficacy clinical trial in South Africa: through natural disasters and with discipline |
title | Data quality in an HIV vaccine efficacy clinical trial in South Africa: through natural disasters and with discipline |
title_full | Data quality in an HIV vaccine efficacy clinical trial in South Africa: through natural disasters and with discipline |
title_fullStr | Data quality in an HIV vaccine efficacy clinical trial in South Africa: through natural disasters and with discipline |
title_full_unstemmed | Data quality in an HIV vaccine efficacy clinical trial in South Africa: through natural disasters and with discipline |
title_short | Data quality in an HIV vaccine efficacy clinical trial in South Africa: through natural disasters and with discipline |
title_sort | data quality in an hiv vaccine efficacy clinical trial in south africa: through natural disasters and with discipline |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10290289/ https://www.ncbi.nlm.nih.gov/pubmed/37355583 http://dx.doi.org/10.1186/s12874-023-01967-9 |
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