Data quality in an HIV vaccine efficacy clinical trial in South Africa: through natural disasters and with discipline

被引:0
作者
Laher, Fatima [1 ]
Malahleha, Mookho [2 ]
Ramirez, Shelly [3 ]
Brumskine, William [4 ,5 ]
Otwombe, Kennedy [1 ,6 ]
Moodie, Zoe [3 ]
Allen, Mary [7 ]
机构
[1] Univ Witwatersrand, Fac Hlth Sci, Perinatal HIV Res Unit, POB 114, ZA-1864 Johannesburg, South Africa
[2] Synergy Biomed Res Inst, East London, Eastern Cape, South Africa
[3] Fred Hutchinson Canc Ctr, Vaccine & Infect Dis Div, Seattle, WA USA
[4] Aurum Inst NPC, Johannesburg, Gauteng, South Africa
[5] Vanderbilt Univ, Dept Med, Sch Med, Nashville, TN USA
[6] Univ Witwatersrand, Fac Hlth Sci, Sch Publ Hlth, Johannesburg, South Africa
[7] NIAID, Vaccine Res Program, Div AIDS, NIH, Bethesda, MD USA
基金
英国医学研究理事会;
关键词
Protocol deviation; Preventive action; Clinical trial; Data quality; Improvement science;
D O I
10.1186/s12874-023-01967-9
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
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-27-09165327) and ClinicalTrials.gov (NCT02968849).
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页数:11
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共 14 条
  • [1] European Medicines Agency, CLASSIFICATION ANAL
  • [2] Friedman L M., 2015, Fundamentals of clinical trials, P233
  • [3] Research Deviations in FDA-Regulated Clinical Trials: A Cross-Sectional Analysis of FDA Inspection Citations
    Garmendia, Craig A.
    Epnere, Katrina
    Bhansali, Neera
    [J]. THERAPEUTIC INNOVATION & REGULATORY SCIENCE, 2018, 52 (05) : 579 - 591
  • [4] THE SCIENCE OF QUALITY IMPROVEMENT
    Girdler, Steven J.
    Glezos, Christopher D.
    Link, Timothy M.
    Sharan, Alok
    [J]. JBJS REVIEWS, 2016, 4 (08)
  • [5] Vaccine Efficacy of ALVAC-HIV and Bivalent Subtype C gp120-MF59 in Adults
    Gray, Glenda E.
    Bekker, Linda-Gail
    Laher, Fatima
    Malahleha, Mookho
    Allen, Mary
    Moodie, Zoe
    Grunenberg, Nicole
    Huang, Yunda
    Grove, Doug
    Prigmore, Brittany
    Kee, Jia J.
    Benkeser, David
    Hural, John
    Innes, Craig
    Lazarus, Erica
    Meintjes, Graeme
    Naicker, Nivashnee
    Kalonji, Dishiki
    Nchabeleng, Maphoshane
    Sebe, Modulakgotla
    Singh, Nishanta
    Kotze, Philip
    Kassim, Sheetal
    Dubula, Thozama
    Naicker, Vimla
    Brumskine, William
    Ncayiya, Cleon N.
    Ward, Amy M.
    Garrett, Nigel
    Kistnasami, Girisha
    Gaffoor, Zakir
    Selepe, Pearl
    Makhoba, Philisiwe B.
    Mathebula, Matsontso P.
    Mda, Pamela
    Adonis, Tania
    Mapetla, Katlego S.
    Modibedi, Bontle
    Philip, Tricia
    Kobane, Gladys
    Bentley, Carter
    Ramirez, Shelly
    Takuva, Simbarashe
    Jones, Megan
    Sikhosana, Mpho
    Atujuna, Millicent
    Andrasik, Michele
    Hejazi, Nima S.
    Puren, Adrian
    Wiesner, Lubbe
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 2021, 384 (12) : 1089 - 1100
  • [6] Generating best evidence from qualitative research: the role of data analysis
    Green, Julie
    Karen, Willis
    Emma, Hughes
    Small, Rhonda
    Welch, Nicky
    Lisa, Gibbs
    Daly, Jeanne
    [J]. AUSTRALIAN AND NEW ZEALAND JOURNAL OF PUBLIC HEALTH, 2007, 31 (06) : 545 - 550
  • [7] International Conference on Harmonisation, EFF GUID
  • [8] Review of preventative HIV vaccine clinical trials in South Africa
    Laher, Fatima
    Bekker, Linda-Gail
    Garrett, Nigel
    Lazarus, Erica M.
    Gray, Glenda E.
    [J]. ARCHIVES OF VIROLOGY, 2020, 165 (11) : 2439 - 2452
  • [9] Leveraging a Bayesian network approach to model and analyze supplier vulnerability to severe weather risk: A case study of the US pharmaceutical supply chain following Hurricane Maria
    Lawrence, Jeanne-Marie
    Hossain, Niamat Ullah Ibne
    Jaradat, Raed
    Hamilton, Michael
    [J]. INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2020, 49
  • [10] Corrective and preventive action
    Motschman, TL
    Moore, SB
    [J]. TRANSFUSION SCIENCE, 1999, 21 (02): : 163 - 178