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Saucedo SCM, Silva KR, Silva LDA, Crivelari JM, Costa R. The impact of data quality monitoring of a multicenter prospective registry of cardiac implantable electronic devices. MethodsX 2023; 11:102454. [PMID: 37920872 PMCID: PMC10618759 DOI: 10.1016/j.mex.2023.102454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 10/19/2023] [Indexed: 11/04/2023] Open
Abstract
Data quality monitoring plays a crucial role in multicenter prospective registries. By maintaining high data accuracy, completeness, and consistency, researchers can improve the overall quality and reliability of the registry data, enabling meaningful conclusions and supporting evidence-based decisions. The purpose of the present study was to evaluate data quality metrics (completeness, accuracy, and temporal plausibility) of a Multicenter Registry of Cardiac Implantable Electronic Devices (CIEDs) and to perform a direct data audit of a random sample of records to assess the agreement levels with the source documents. The CIED Registry was a prospective, multicenter, real-world observational study carried out from January 2020 to December 2022 in five designated centers across Sao Paulo, Brazil. We assessed the data quality of the CIED Registry by using two distinct approaches:•Dynamic data monitoring using features of the REDCap (Research Electronic Data Capture) software, including data reports and data quality rules•Direct data audit in which information from a random sample of 10 % of cases from the coordinating center was compared with original source documents Our findings suggest that the methodological approach applied to the CIED Registry resulted in high data completeness, accuracy, temporal plausibility, and excellent agreement levels with the source documents.
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Affiliation(s)
- Sarah Caroline Martins Saucedo
- Unidade de Estimulação Elétrica e Marcapasso, Instituto do Coração do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (InCor-HCFMUSP), Sao Paulo, Brazil
| | - Katia Regina Silva
- Unidade de Estimulação Elétrica e Marcapasso, Instituto do Coração do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (InCor-HCFMUSP), Sao Paulo, Brazil
| | - Laísa de Arruda Silva
- Unidade de Estimulação Elétrica e Marcapasso, Instituto do Coração do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (InCor-HCFMUSP), Sao Paulo, Brazil
| | - Jéssica Moretto Crivelari
- Unidade de Estimulação Elétrica e Marcapasso, Instituto do Coração do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (InCor-HCFMUSP), Sao Paulo, Brazil
| | - Roberto Costa
- Unidade de Estimulação Elétrica e Marcapasso, Instituto do Coração do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (InCor-HCFMUSP), Sao Paulo, Brazil
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Hodiamont F, Schatz C, Gesell D, Leidl R, Boulesteix AL, Nauck F, Wikert J, Jansky M, Kranz S, Bausewein C. COMPANION: development of a patient-centred complexity and casemix classification for adult palliative care patients based on needs and resource use - a protocol for a cross-sectional multi-centre study. BMC Palliat Care 2022; 21:18. [PMID: 35120502 PMCID: PMC8814797 DOI: 10.1186/s12904-021-00897-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 12/17/2021] [Indexed: 12/03/2022] Open
Abstract
Background A casemix classification based on patients’ needs can serve to better describe the patient group in palliative care and thus help to develop adequate future care structures and enable national benchmarking and quality control. However, in Germany, there is no such an evidence-based system to differentiate the complexity of patients’ needs in palliative care. Therefore, the study aims to develop a patient-oriented, nationally applicable complexity and casemix classification for adult palliative care patients in Germany. Methods COMPANION is a mixed-methods study with data derived from three subprojects. Subproject 1: Prospective, cross-sectional multi-centre study collecting data on patients’ needs which reflect the complexity of the respective patient situation, as well as data on resources that are required to meet these needs in specialist palliative care units, palliative care advisory teams, and specialist palliative home care. Subproject 2: Qualitative study including the development of a literature-based preliminary list of characteristics, expert interviews, and a focus group to develop a taxonomy for specialist palliative care models. Subproject 3: Multi-centre costing study based on resource data from subproject 1 and data of study centres. Data and results from the three subprojects will inform each other and form the basis for the development of the casemix classification. Ultimately, the casemix classification will be developed by applying Classification and Regression Tree (CART) analyses using patient and complexity data from subproject 1 and patient-related cost data from subproject 3. Discussion This is the first multi-centre costing study that integrates the structure and process characteristics of different palliative care settings in Germany with individual patient care. The mixed methods design and variety of included data allow for the development of a casemix classification that reflect on the complexity of the research subject. The consecutive inclusion of all patients cared for in participating study centres within the time of data collection allows for a comprehensive description of palliative care patients and their needs. A limiting factor is that data will be collected at least partly during the COVID-19 pandemic and potential impact of the pandemic on health care and the research topic cannot be excluded. Trial registration German Register for Clinical Studies trial registration number: DRKS00020517.
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Affiliation(s)
- Farina Hodiamont
- Department of Palliative Medicine, LMU University Hospital, Munich, Germany.
| | - Caroline Schatz
- Helmholtz Zentrum München, Institute of Health Economics and Health Care Management, Munich, Germany.,Ludwig-Maximilians-Universität München, LMU Munich School of Management, Institute of Health Economics and Health Care Management, Munich, Germany
| | - Daniela Gesell
- Department of Palliative Medicine, LMU University Hospital, Munich, Germany
| | - Reiner Leidl
- Helmholtz Zentrum München, Institute of Health Economics and Health Care Management, Munich, Germany.,Ludwig-Maximilians-Universität München, LMU Munich School of Management, Institute of Health Economics and Health Care Management, Munich, Germany
| | - Anne-Laure Boulesteix
- Ludwig-Maximilians-Universität München, Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Munich, Germany
| | - Friedemann Nauck
- Clinic for Palliative Medicine, University Medical Center, Göttingen, Germany
| | - Julia Wikert
- Department of Palliative Medicine, LMU University Hospital, Munich, Germany
| | - Maximiliane Jansky
- Clinic for Palliative Medicine, University Medical Center, Göttingen, Germany
| | - Steven Kranz
- German Association for Palliative Medicine, Berlin, Germany
| | - Claudia Bausewein
- Department of Palliative Medicine, LMU University Hospital, Munich, Germany
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van Dijk WB, Fiolet ATL, Schuit E, Sammani A, Groenhof TKJ, van der Graaf R, de Vries MC, Alings M, Schaap J, Asselbergs FW, Grobbee DE, Groenwold RHH, Mosterd A. Text-mining in electronic healthcare records can be used as efficient tool for screening and data collection in cardiovascular trials: a multicenter validation study. J Clin Epidemiol 2020; 132:97-105. [PMID: 33248277 DOI: 10.1016/j.jclinepi.2020.11.014] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 10/24/2020] [Accepted: 11/18/2020] [Indexed: 01/19/2023]
Abstract
OBJECTIVE This study aimed to validate trial patient eligibility screening and baseline data collection using text-mining in electronic healthcare records (EHRs), comparing the results to those of an international trial. STUDY DESIGN AND SETTING In three medical centers with different EHR vendors, EHR-based text-mining was used to automatically screen patients for trial eligibility and extract baseline data on nineteen characteristics. First, the yield of screening with automated EHR text-mining search was compared with manual screening by research personnel. Second, the accuracy of extracted baseline data by EHR text mining was compared to manual data entry by research personnel. RESULTS Of the 92,466 patients visiting the out-patient cardiology departments, 568 (0.6%) were enrolled in the trial during its recruitment period using manual screening methods. Automated EHR data screening of all patients showed that the number of patients needed to screen could be reduced by 73,863 (79.9%). The remaining 18,603 (20.1%) contained 458 of the actual participants (82.4% of participants). In trial participants, automated EHR text-mining missed a median of 2.8% (Interquartile range [IQR] across all variables 0.4-8.5%) of all data points compared to manually collected data. The overall accuracy of automatically extracted data was 88.0% (IQR 84.7-92.8%). CONCLUSION Automatically extracting data from EHRs using text-mining can be used to identify trial participants and to collect baseline information.
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Affiliation(s)
- Wouter B van Dijk
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
| | - Aernoud T L Fiolet
- Department of Cardiology, Meander Medical Center, Amersfoort, the Netherlands; Department of Cardiology, Division Heart & Lungs, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Ewoud Schuit
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Arjan Sammani
- Department of Cardiology, Division Heart & Lungs, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - T Katrien J Groenhof
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Rieke van der Graaf
- Department of Medical Humanities, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Martine C de Vries
- Department of Medical Ethics and Health Law, Leiden University Medical Center, Leiden University, Leiden, the Netherlands
| | - Marco Alings
- Department of Cardiology, Amphia Hospital, Breda, the Netherlands; Dutch Network for Cardiovascular Research (WCN), Utrecht, the Netherlands
| | - Jeroen Schaap
- Department of Cardiology, Amphia Hospital, Breda, the Netherlands; Dutch Network for Cardiovascular Research (WCN), Utrecht, the Netherlands
| | - Folkert W Asselbergs
- Department of Cardiology, Division Heart & Lungs, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Institute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, London, United Kingdom; Health Data Research UK and Institute of Health Informatics, University College London, London, United Kingdom
| | - Diederick E Grobbee
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Rolf H H Groenwold
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden University, Leiden, the Netherlands
| | - Arend Mosterd
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Department of Cardiology, Meander Medical Center, Amersfoort, the Netherlands; Dutch Network for Cardiovascular Research (WCN), Utrecht, the Netherlands
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Giganti MJ, Shepherd BE, Caro-Vega Y, Luz PM, Rebeiro PF, Maia M, Julmiste G, Cortes C, McGowan CC, Duda SN. The impact of data quality and source data verification on epidemiologic inference: a practical application using HIV observational data. BMC Public Health 2019; 19:1748. [PMID: 31888571 PMCID: PMC6937856 DOI: 10.1186/s12889-019-8105-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Accepted: 12/17/2019] [Indexed: 01/23/2023] Open
Abstract
BACKGROUND Data audits are often evaluated soon after completion, even though the identification of systematic issues may lead to additional data quality improvements in the future. In this study, we assess the impact of the entire data audit process on subsequent statistical analyses. METHODS We conducted on-site audits of datasets from nine international HIV care sites. Error rates were quantified for key demographic and clinical variables among a subset of records randomly selected for auditing. Based on audit results, some sites were tasked with targeted validation of high-error-rate variables resulting in a post-audit dataset. We estimated the times from antiretroviral therapy initiation until death and first AIDS-defining event using the pre-audit data, the audit data, and the post-audit data. RESULTS The overall discrepancy rate between pre-audit and audit data (n = 250) across all audited variables was 17.1%. The estimated probability of mortality and an AIDS-defining event over time was higher in the audited data relative to the pre-audit data. Among patients represented in both the post-audit and pre-audit cohorts (n = 18,999), AIDS and mortality estimates also were higher in the post-audit data. CONCLUSION Though some changes may have occurred independently, our findings suggest that improved data quality following the audit may impact epidemiological inferences.
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Affiliation(s)
| | | | - Yanink Caro-Vega
- Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Paula M. Luz
- Instituto Nacional de Infectologia Evandro Chagas, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
| | | | - Marcelle Maia
- Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | | | - Claudia Cortes
- Fundación Arriarán, University of Chile School of Medicine, Santiago, Chile
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Fougerou-Leurent C, Laviolle B, Tual C, Visseiche V, Veislinger A, Danjou H, Martin A, Turmel V, Renault A, Bellissant E. Impact of a targeted monitoring on data-quality and data-management workload of randomized controlled trials: A prospective comparative study. Br J Clin Pharmacol 2019; 85:2784-2792. [PMID: 31471967 DOI: 10.1111/bcp.14108] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2019] [Revised: 07/24/2019] [Accepted: 08/22/2019] [Indexed: 11/30/2022] Open
Abstract
AIMS Monitoring risk-based approaches in clinical trials are encouraged by regulatory guidance. However, the impact of a targeted source data verification (SDV) on data-management (DM) workload and on final data quality needs to be addressed. METHODS MONITORING was a prospective study aiming at comparing full SDV (100% of data verified for all patients) and targeted SDV (only key data verified for all patients) followed by the same DM program (detecting missing data and checking consistency) on final data quality, global workload and staffing costs. RESULTS In all, 137 008 data including 18 124 key data were collected for 126 patients from 6 clinical trials. Compared to the final database obtained using the full SDV monitoring process, the final database obtained using the targeted SDV monitoring process had a residual error rate of 1.47% (95% confidence interval, 1.41-1.53%) on overall data and 0.78% (95% confidence interval, 0.65-0.91%) on key data. There were nearly 4 times more queries per study with targeted SDV than with full SDV (mean ± standard deviation: 132 ± 101 vs 34 ± 26; P = .03). For a handling time of 15 minutes per query, the global workload of the targeted SDV monitoring strategy remained below that of the full SDV monitoring strategy. From 25 minutes per query it was above, increasing progressively to represent a 50% increase for 45 minutes per query. CONCLUSION Targeted SDV monitoring is accompanied by increased workload for DM, which allows to obtain a small proportion of remaining errors on key data (<1%), but may substantially increase trial costs.
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Affiliation(s)
- Claire Fougerou-Leurent
- CIC 1414 (Clinical Investigation Center), INSERM, Rennes, France.,Clinical Pharmacology Department, CHU Rennes, Rennes, France
| | - Bruno Laviolle
- CIC 1414 (Clinical Investigation Center), INSERM, Rennes, France.,Clinical Pharmacology Department, CHU Rennes, Rennes, France.,Experimental and Clinical Pharmacology Laboratory, Univ Rennes, Rennes, France
| | - Christelle Tual
- CIC 1414 (Clinical Investigation Center), INSERM, Rennes, France.,Clinical Pharmacology Department, CHU Rennes, Rennes, France
| | | | - Aurélie Veislinger
- CIC 1414 (Clinical Investigation Center), INSERM, Rennes, France.,Clinical Pharmacology Department, CHU Rennes, Rennes, France
| | - Hélène Danjou
- CIC 1414 (Clinical Investigation Center), INSERM, Rennes, France.,Clinical Pharmacology Department, CHU Rennes, Rennes, France
| | - Amélie Martin
- CIC 1414 (Clinical Investigation Center), INSERM, Rennes, France.,Clinical Pharmacology Department, CHU Rennes, Rennes, France
| | - Valérie Turmel
- CIC 1414 (Clinical Investigation Center), INSERM, Rennes, France.,Clinical Pharmacology Department, CHU Rennes, Rennes, France
| | - Alain Renault
- CIC 1414 (Clinical Investigation Center), INSERM, Rennes, France.,Experimental and Clinical Pharmacology Laboratory, Univ Rennes, Rennes, France
| | - Eric Bellissant
- CIC 1414 (Clinical Investigation Center), INSERM, Rennes, France.,Clinical Pharmacology Department, CHU Rennes, Rennes, France.,Experimental and Clinical Pharmacology Laboratory, Univ Rennes, Rennes, France
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Lockery JE, Collyer TA, Reid CM, Ernst ME, Gilbertson D, Hay N, Kirpach B, McNeil JJ, Nelson MR, Orchard SG, Pruksawongsin K, Shah RC, Wolfe R, Woods RL. Overcoming challenges to data quality in the ASPREE clinical trial. Trials 2019; 20:686. [PMID: 31815652 PMCID: PMC6902598 DOI: 10.1186/s13063-019-3789-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Accepted: 10/05/2019] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND Large-scale studies risk generating inaccurate and missing data due to the complexity of data collection. Technology has the potential to improve data quality by providing operational support to data collectors. However, this potential is under-explored in community-based trials. The Aspirin in reducing events in the elderly (ASPREE) trial developed a data suite that was specifically designed to support data collectors: the ASPREE Web Accessible Relational Database (AWARD). This paper describes AWARD and the impact of system design on data quality. METHODS AWARD's operational requirements, conceptual design, key challenges and design solutions for data quality are presented. Impact of design features is assessed through comparison of baseline data collected prior to implementation of key functionality (n = 1000) with data collected post implementation (n = 18,114). Overall data quality is assessed according to data category. RESULTS At baseline, implementation of user-driven functionality reduced staff error (from 0.3% to 0.01%), out-of-range data entry (from 0.14% to 0.04%) and protocol deviations (from 0.4% to 0.08%). In the longitudinal data set, which contained more than 39 million data values collected within AWARD, 96.6% of data values were entered within specified query range or found to be accurate upon querying. The remaining data were missing (3.4%). Participant non-attendance at scheduled study activity was the most common cause of missing data. Costs associated with cleaning data in ASPREE were lower than expected compared with reports from other trials. CONCLUSIONS Clinical trials undertake complex operational activity in order to collect data, but technology rarely provides sufficient support. We find the AWARD suite provides proof of principle that designing technology to support data collectors can mitigate known causes of poor data quality and produce higher-quality data. Health information technology (IT) products that support the conduct of scheduled activity in addition to traditional data entry will enhance community-based clinical trials. A standardised framework for reporting data quality would aid comparisons across clinical trials. TRIAL REGISTRATION International Standard Randomized Controlled Trial Number Register, ISRCTN83772183. Registered on 3 March 2005.
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Affiliation(s)
- Jessica E. Lockery
- Department of Epidemiology & Preventive Medicine, Monash University, ASPREE Co-ordinating Centre, 99 Commercial Road, Melbourne, VIC 3004 Australia
| | - Taya A. Collyer
- Department of Epidemiology & Preventive Medicine, Monash University, ASPREE Co-ordinating Centre, 99 Commercial Road, Melbourne, VIC 3004 Australia
| | - Christopher M. Reid
- Department of Epidemiology & Preventive Medicine, Monash University, ASPREE Co-ordinating Centre, 99 Commercial Road, Melbourne, VIC 3004 Australia
- School of Public Health, Curtin University, Perth, WA Australia
| | - Michael E. Ernst
- Department of Pharmacy Practice and Science, College of Pharmacy and Department of Family Medicine, Carver College of Medicine, The University of Iowa, Iowa City, USA
| | - David Gilbertson
- Chronic Disease Research Group, Minneapolis Medical Research Foundation, Minneapolis, Minnesota USA
| | - Nino Hay
- Department of Epidemiology & Preventive Medicine, Monash University, ASPREE Co-ordinating Centre, 99 Commercial Road, Melbourne, VIC 3004 Australia
| | - Brenda Kirpach
- Berman Center for Outcomes and Clinical Research, Hennepin Healthcare Research Institute (HHRI), Hennepin Healthcare, Minneapolis, MN USA
| | - John J. McNeil
- Department of Epidemiology & Preventive Medicine, Monash University, ASPREE Co-ordinating Centre, 99 Commercial Road, Melbourne, VIC 3004 Australia
| | - Mark R. Nelson
- Department of Epidemiology & Preventive Medicine, Monash University, ASPREE Co-ordinating Centre, 99 Commercial Road, Melbourne, VIC 3004 Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS Australia
| | - Suzanne G. Orchard
- Department of Epidemiology & Preventive Medicine, Monash University, ASPREE Co-ordinating Centre, 99 Commercial Road, Melbourne, VIC 3004 Australia
| | - Kunnapoj Pruksawongsin
- Department of Epidemiology & Preventive Medicine, Monash University, ASPREE Co-ordinating Centre, 99 Commercial Road, Melbourne, VIC 3004 Australia
| | - Raj C. Shah
- Department of Family Medicine and Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL USA
| | - Rory Wolfe
- Department of Epidemiology & Preventive Medicine, Monash University, ASPREE Co-ordinating Centre, 99 Commercial Road, Melbourne, VIC 3004 Australia
| | - Robyn L. Woods
- Department of Epidemiology & Preventive Medicine, Monash University, ASPREE Co-ordinating Centre, 99 Commercial Road, Melbourne, VIC 3004 Australia
| | - on behalf of the ASPREE Investigator Group
- Department of Epidemiology & Preventive Medicine, Monash University, ASPREE Co-ordinating Centre, 99 Commercial Road, Melbourne, VIC 3004 Australia
- School of Public Health, Curtin University, Perth, WA Australia
- Department of Pharmacy Practice and Science, College of Pharmacy and Department of Family Medicine, Carver College of Medicine, The University of Iowa, Iowa City, USA
- Chronic Disease Research Group, Minneapolis Medical Research Foundation, Minneapolis, Minnesota USA
- Berman Center for Outcomes and Clinical Research, Hennepin Healthcare Research Institute (HHRI), Hennepin Healthcare, Minneapolis, MN USA
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS Australia
- Department of Family Medicine and Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL USA
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Assessing data quality and the variability of source data verification auditing methods in clinical research settings. J Biomed Inform 2018; 83:25-32. [PMID: 29783038 DOI: 10.1016/j.jbi.2018.05.010] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2017] [Revised: 03/22/2018] [Accepted: 05/17/2018] [Indexed: 11/22/2022]
Abstract
INTRODUCTION Data audits within clinical settings are extensively used as a major strategy to identify errors, monitor study operations and ensure high-quality data. However, clinical trial guidelines are non-specific in regards to recommended frequency, timing and nature of data audits. The absence of a well-defined data quality definition and method to measure error undermines the reliability of data quality assessment. This review aimed to assess the variability of source data verification (SDV) auditing methods to monitor data quality in a clinical research setting. MATERIAL AND METHODS The scientific databases MEDLINE, Scopus and Science Direct were searched for English language publications, with no date limits applied. Studies were considered if they included data from a clinical trial or clinical research setting and measured and/or reported data quality using a SDV auditing method. RESULTS In total 15 publications were included. The nature and extent of SDV audit methods in the articles varied widely, depending upon the complexity of the source document, type of study, variables measured (primary or secondary), data audit proportion (3-100%) and collection frequency (6-24 months). Methods for coding, classifying and calculating error were also inconsistent. Transcription errors and inexperienced personnel were the main source of reported error. Repeated SDV audits using the same dataset demonstrated ∼ 40% improvement in data accuracy and completeness over time. No description was given in regards to what determines poor data quality in clinical trials. CONCLUSIONS A wide range of SDV auditing methods are reported in the published literature though no uniform SDV auditing method could be determined for "best practice" in clinical trials. Published audit methodology articles are warranted for the development of a standardised SDV auditing method to monitor data quality in clinical research settings.
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8
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A systematic method to evaluate the dietary intake data coding process used in the research setting. J Food Compost Anal 2017. [DOI: 10.1016/j.jfca.2017.07.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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9
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Ramos-Goñi JM, Oppe M, Slaap B, Busschbach JJV, Stolk E. Quality Control Process for EQ-5D-5L Valuation Studies. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2017; 20:466-473. [PMID: 28292492 DOI: 10.1016/j.jval.2016.10.012] [Citation(s) in RCA: 118] [Impact Index Per Article: 16.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2016] [Revised: 10/07/2016] [Accepted: 10/16/2016] [Indexed: 05/21/2023]
Abstract
BACKGROUND The values of the five-level EuroQol five-dimensional questionnaire (EQ-5D-5L) are elicited using composite time trade-off and discrete choice experiments. Unfortunately, data quality issues and interviewer effects were observed in the first few EQ-5D-5L valuation studies. To prevent these issues from occurring in later studies, the EuroQol Group established a cyclic quality control (QC) process. OBJECTIVES To describe this QC process and show its impact on data quality. METHODS A newly developed QC tool provided information about protocol compliance, interviewer effects, and mean values by health state severity. In a cyclic process, this information is initially used to evaluate whether new interviewers meet minimal quality requirements and later to provide feedback about how their performance may be improved. To investigate the impact of this cyclic process, we compared the quality of the data in Dutch and Spanish valuation studies that did not have this QC process with that in the follow-up studies in the same countries that used the QC process. Data quality was measured using protocol violations, variability between interviewers, the proportion of inconsistent responders, and clustering of composite time trade-off values. RESULTS In Spain, protocol violations were reduced from 87% in the valuation study to 5% in the follow-up study and in the Netherlands from 20% to 8%. In both countries, interviewers performed more homogeneously in the follow-up studies. The number of inconsistent respondents was reduced by 23.2% in Spain and 23.6% in the Netherlands. Values were less clustered in the follow-up studies. CONCLUSIONS The implementation of a strict QC process in EQ-5D-5L valuation studies increases interviewer protocol compliance and promotes data quality.
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Affiliation(s)
- Juan M Ramos-Goñi
- Executive Office, EuroQol Research Foundation, Rotterdam, The Netherlands.
| | - Mark Oppe
- Executive Office, EuroQol Research Foundation, Rotterdam, The Netherlands
| | - Bernhard Slaap
- Executive Office, EuroQol Research Foundation, Rotterdam, The Netherlands
| | - Jan J V Busschbach
- Section of Medical Psychology, Department of Psychiatry, Erasmus MC, Rotterdam, The Netherlands
| | - Elly Stolk
- Executive Office, EuroQol Research Foundation, Rotterdam, The Netherlands; Institute for Health Policy and Management, Erasmus University, Rotterdam, The Netherlands
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10
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Liénard JL, Quinaux E, Fabre-Guillevin E, Piedbois P, Jouhaud A, Decoster G, Buyse M. Impact of on-site initiation visits on patient recruitment and data quality in a randomized trial of adjuvant chemotherapy for breast cancer. Clin Trials 2016; 3:486-92. [PMID: 17060222 DOI: 10.1177/1740774506070807] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Purpose To provide empirical evidence on the impact of on-site initiation visits on the following outcomes: patient recruitment, quantity and quality of data submitted to the trial coordinating office, and patients' follow-up time. Patients and methods This methodological study was performed as part of a randomized trial comparing two combination chemotherapies for adjuvant treatment of breast cancer. Centers participating to the trial were randomized to either receive systematic on-site visits (Visited group), or not (Non-visited group). Results The study was terminated after two years, while the main randomized trial continued. Of the 135 centers that had expressed an interest in the trial, only 69 randomized at least one patient (35/68 in the Visited group, 34/67 in the Nonvisited group). Almost two-thirds of the patients were entered by 17 centers (10 in the Visited group, seven in the Non-visited group) that accrued more than 10 patients each. None of the prespecified outcomes favored the group of centers submitted to on-site initiation visits (ie, mean number of queries par patient: 6.1 ± 9.7 versus 5.4 ± 6.4, respectively for the Visited and Non-visited groups). Spontaneous transmittal of case report forms, although required by protocol, was low in both randomized groups (mean number of pages per patient: 1.5 ± 2.0 versus 2.1 ± 2.3, respectively), with investigators submitting about one-third of the expected forms on time (29% and 39%, respectively). Limitations This study could not evaluate the impact of repeated on-site visits on clinical outcomes. Conclusion Systematic on-site initiation visits did not contribute significantly to this clinical trial.
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Affiliation(s)
- J-L Liénard
- International Drug Development Institute (IDDI), Brussels, Belgium.
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12
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Mealer M, Kittelson J, Thompson BT, Wheeler AP, Magee JC, Sokol RJ, Moss M, Kahn MG. Remote source document verification in two national clinical trials networks: a pilot study. PLoS One 2013; 8:e81890. [PMID: 24349149 PMCID: PMC3857788 DOI: 10.1371/journal.pone.0081890] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2013] [Accepted: 10/17/2013] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVE Barriers to executing large-scale randomized controlled trials include costs, complexity, and regulatory requirements. We hypothesized that source document verification (SDV) via remote electronic monitoring is feasible. METHODS Five hospitals from two NIH sponsored networks provided remote electronic access to study monitors. We evaluated pre-visit remote SDV compared to traditional on-site SDV using a randomized convenience sample of all study subjects due for a monitoring visit. The number of data values verified and the time to perform remote and on-site SDV was collected. RESULTS Thirty-two study subjects were randomized to either remote SDV (N=16) or traditional on-site SDV (N=16). Technical capabilities, remote access policies and regulatory requirements varied widely across sites. In the adult network, only 14 of 2965 data values (0.47%) could not be located remotely. In the traditional on-site SDV arm, 3 of 2608 data values (0.12%) required coordinator help. In the pediatric network, all 198 data values in the remote SDV arm and all 183 data values in the on-site SDV arm were located. Although not statistically significant there was a consistent trend for more time consumed per data value (minutes +/- SD): Adult 0.50 +/- 0.17 min vs. 0.39 +/- 0.10 min (two-tailed t-test p=0.11); Pediatric 0.99 +/- 1.07 min vs. 0.56 +/- 0.61 min (p=0.37) and time per case report form: Adult: 4.60 +/- 1.42 min vs. 3.60 +/- 0.96 min (p=0.10); Pediatric: 11.64 +/- 7.54 min vs. 6.07 +/- 3.18 min (p=0.10) using remote SDV. CONCLUSIONS Because each site had different policies, requirements, and technologies, a common approach to assimilating monitors into the access management system could not be implemented. Despite substantial technology differences, more than 99% of data values were successfully monitored remotely. This pilot study demonstrates the feasibility of remote monitoring and the need to develop consistent access policies for remote study monitoring.
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Affiliation(s)
- Meredith Mealer
- Division of Pulmonary Sciences and Critical Care Medicine, Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado, United States of America
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| | - John Kittelson
- Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, Colorado, United States of America
- Colorado Clinical and Translational Sciences Institute, University of Colorado Anschutz Medical Center, Aurora, Colorado, United States of America
| | - B. Taylor Thompson
- Massachusetts General Hospital, Biostatistics Center, Boston, Massachusetts, United States of America
| | - Arthur P. Wheeler
- Vanderbilt University Medical Center, School of Medicine, Nashville, Tennessee, United States of America
| | - John C. Magee
- University of Michigan, Department of Surgery, Ann Arbor, Michigan, United States of America
| | - Ronald J. Sokol
- Colorado Clinical and Translational Sciences Institute, University of Colorado Anschutz Medical Center, Aurora, Colorado, United States of America
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, United States of America
| | - Marc Moss
- Division of Pulmonary Sciences and Critical Care Medicine, Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado, United States of America
- Colorado Clinical and Translational Sciences Institute, University of Colorado Anschutz Medical Center, Aurora, Colorado, United States of America
| | - Michael G. Kahn
- Colorado Clinical and Translational Sciences Institute, University of Colorado Anschutz Medical Center, Aurora, Colorado, United States of America
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, United States of America
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Macefield RC, Beswick AD, Blazeby JM, Lane JA. A systematic review of on-site monitoring methods for health-care randomised controlled trials. Clin Trials 2013; 10:104-24. [PMID: 23345308 DOI: 10.1177/1740774512467405] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND Monitoring the conduct of clinical trials is recommended by International Conference of Harmonisation Good Clinical Practice (ICH GCP) guidelines and is integral to trial quality assurance. On-site monitoring, that is, visiting trial sites, is one part of this process but little is known about the procedures that are performed in practice. PURPOSE To examine and summarise published on-site monitoring methods for health-care clinical trials, including evaluations of their benefits and costs to trials. METHODS A systematic literature review identified all articles reporting the methods and practices of on-site monitoring of randomised controlled trials (RCTs). Articles were categorised into (1) reports from research groups and organisations, (2) reports from individual RCTs, (3) randomised trials of on-site monitoring interventions, (4) cost simulations, or (5) surveys of trial staff and monitors. Data were extracted on the characteristics of the trials and groups reporting on-site monitoring (e.g., geographical origin, sponsor, and trial focus). Information from articles in categories (1)-(3) was summarised on the frequency and scope of site monitoring visits, monitoring team size and composition, activities during site visits, and reporting structures. Evaluations of the benefits and disadvantages of on-site monitoring were examined for all included articles. RESULTS In total, 57 articles were identified, comprising 21 articles about the on-site monitoring practices of 16 research groups, 30 articles from 26 RCTs, 1 on-site monitoring intervention RCT, 2 cost simulations, and 3 surveys. Publications in categories (1)-(3), mostly originated from the United States (33/52, 63%) or Europe (15/52, 29%), were predominantly describing non-commercial organisations or trials (45/52, 87%), with heart disease (9/26, 35%) or cancer (5/26, 19%) the commonest focus of individual RCTs. The frequency of visits ranged from every 6-8 weeks up to once every 3 years, with mostly all trial sites visited. The number of monitors visiting a site varied between 1 and 8. The most common on-site monitoring activity was verifying source data and consent forms, with a focus on data accuracy. Only six articles evaluated their on-site monitoring process, with improvements observed in recruitment rates and protocol adherence but with direct costs and staff time viewed as the major disadvantages. The on-site monitoring RCT ended prematurely so preventing full assessment. LIMITATIONS Trialists and organisations may utilise additional unpublished on-site monitoring systems. The varied terminology used to describe monitoring may have limited identification of some relevant articles. CONCLUSIONS This review demonstrated that on-site monitoring is utilised in trials worldwide but systems vary considerably with little evidence to support practice. These on-site monitoring practices need to be evaluated empirically, including costs, to provide robust evidence for the contribution of site visits to trial performance and quality.
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Affiliation(s)
- Rhiannon C Macefield
- School of Social and Community Medicine, University of Bristol, Bristol BS8 2PS, UK
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Duda SN, Shepherd BE, Gadd CS, Masys DR, McGowan CC. Measuring the quality of observational study data in an international HIV research network. PLoS One 2012; 7:e33908. [PMID: 22493676 PMCID: PMC3320898 DOI: 10.1371/journal.pone.0033908] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2011] [Accepted: 02/19/2012] [Indexed: 11/29/2022] Open
Abstract
Observational studies of health conditions and outcomes often combine clinical care data from many sites without explicitly assessing the accuracy and completeness of these data. In order to improve the quality of data in an international multi-site observational cohort of HIV-infected patients, the authors conducted on-site, Good Clinical Practice-based audits of the clinical care datasets submitted by participating HIV clinics. Discrepancies between data submitted for research and data in the clinical records were categorized using the audit codes published by the European Organization for the Research and Treatment of Cancer. Five of seven sites had error rates >10% in key study variables, notably laboratory data, weight measurements, and antiretroviral medications. All sites had significant discrepancies in medication start and stop dates. Clinical care data, particularly antiretroviral regimens and associated dates, are prone to substantial error. Verifying data against source documents through audits will improve the quality of databases and research and can be a technique for retraining staff responsible for clinical data collection. The authors recommend that all participants in observational cohorts use data audits to assess and improve the quality of data and to guide future data collection and abstraction efforts at the point of care.
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Affiliation(s)
- Stephany N Duda
- Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America.
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Quantifying data quality for clinical trials using electronic data capture. PLoS One 2008; 3:e3049. [PMID: 18725958 PMCID: PMC2516178 DOI: 10.1371/journal.pone.0003049] [Citation(s) in RCA: 71] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2008] [Accepted: 08/04/2008] [Indexed: 11/20/2022] Open
Abstract
Background Historically, only partial assessments of data quality have been performed in clinical trials, for which the most common method of measuring database error rates has been to compare the case report form (CRF) to database entries and count discrepancies. Importantly, errors arising from medical record abstraction and transcription are rarely evaluated as part of such quality assessments. Electronic Data Capture (EDC) technology has had a further impact, as paper CRFs typically leveraged for quality measurement are not used in EDC processes. Methods and Principal Findings The National Institute on Drug Abuse Treatment Clinical Trials Network has developed, implemented, and evaluated methodology for holistically assessing data quality on EDC trials. We characterize the average source-to-database error rate (14.3 errors per 10,000 fields) for the first year of use of the new evaluation method. This error rate was significantly lower than the average of published error rates for source-to-database audits, and was similar to CRF-to-database error rates reported in the published literature. We attribute this largely to an absence of medical record abstraction on the trials we examined, and to an outpatient setting characterized by less acute patient conditions. Conclusions Historically, medical record abstraction is the most significant source of error by an order of magnitude, and should be measured and managed during the course of clinical trials. Source-to-database error rates are highly dependent on the amount of structured data collection in the clinical setting and on the complexity of the medical record, dependencies that should be considered when developing data quality benchmarks.
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Poortmans PMP, Ataman F, Davis JB, Bartelink H, Horiot JC, Pierart M, Collette L, Van Tienhoven G. Quality assurance in the EORTC phase III randomised 'boost vs. no boost' trial for breast conserving therapy: comparison of the results of two individual case reviews performed early and late during the accrual period. Radiother Oncol 2006; 76:278-84. [PMID: 15919127 DOI: 10.1016/j.radonc.2005.04.001] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2004] [Revised: 04/16/2005] [Accepted: 04/26/2005] [Indexed: 10/25/2022]
Abstract
BACKGROUND AND PURPOSE To evaluate the impact of quality assurance on treatment compliance, we compared the outcome of the two individual case reviews (ICR) conducted early and late during the accrual period of a large prospective multi-centre trial. PATIENTS AND METHODS At the onset of the trial, medical files of five patients from each participating centre were evaluated for the compliance to the protocol for eligibility, surgery, pathology and radiotherapy and for the quality of reporting of the data on the case report forms. In nine major centres, this procedure was repeated near the end of the trial. RESULTS Both in the early and the late ICR, we found a very limited number of deviations from the guidelines for eligibility, staging, surgery, and pathology. Compliance to radiotherapy requirements was good with the exception of a too low minimal dose in 30% and the lack of target volume delineation in the majority of the evaluated patients. The comparison of the late with the early ICR demonstrated an improvement of the quality of data reporting by 6% and of target volume delineation from 33 to 53%. CONCLUSIONS The initial ICR has lead to the identification of a number of parameters, which needed a clarification in the protocol. These items have been corrected and the individual institutions have been made aware of the necessary adaptations. The evaluation at the end of the trial period showed that there was an improvement but also showed that continuous monitoring is necessary, especially for institutions which have the most deviations in the first ICR.
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Affiliation(s)
- Philip M P Poortmans
- Department of Radiotherapy, Dr Bernard Verbeeten Instituut, Tilburg, The Netherlands.
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Arthursson AJ, Furnes O, Espehaug B, Havelin LI, Söreide JA. Validation of data in the Norwegian Arthroplasty Register and the Norwegian Patient Register: 5,134 primary total hip arthroplasties and revisions operated at a single hospital between 1987 and 2003. Acta Orthop 2005; 76:823-8. [PMID: 16470436 DOI: 10.1080/17453670510045435] [Citation(s) in RCA: 74] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND The usefulness of a national medical register relies on the completeness and quality of the data reported. The data recorded must therefore be validated to prevent systematic errors, which can cause bias in reports and study conclusions. PATIENTS AND METHODS We compared the number of hip replacements reported to the Norwegian Arthroplasty Register (NAR), 1987-2003, and to the Norwegian Patient Register (NPR), 1999-2002, with data recorded at a local hospital. The date of operation and the index hip were further validated to find inaccurately recorded data in the NAR. Kaplan-Meier estimated survival curves were compared to evaluate the possible influence of missing data. RESULTS Of 5,134 operations performed at a local hospital, 19 (0.4%) had not been reported to the NAR. Completeness of registration was poorer for revisions (1.2%) than for primary operations (0.2%). Among 86 Girdlestone revisions (removal of the prosthesis only), 9 (11%) had not been reported to the NAR. Missing data on revisions, however, had only a minor influence on survival analyses. The date of the operation had been recorded incorrectly in 56 cases (1.1%), and the index hip in 12 cases (0.2%). The surgeon was responsible for 85% of these errors. Comparisons with data reported to the NPR, 1999-2002, showed that 3.4% of operations at the local hospital had not been reported to the NPR. INTERPRETATION Only 0.4% of the data from a local hospital was missing in the NAR, as opposed to the NPR where 3.4% was missing. The information recorded in the NAR appears to have been valid and reliable throughout the entire period, and provides an excellent basis for clinically relevant information regarding total hip arthroplasty.
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Rico-Villademoros F, Hernando T, Sanz JL, López-Alonso A, Salamanca O, Camps C, Rosell R. The role of the clinical research coordinator--data manager--in oncology clinical trials. BMC Med Res Methodol 2004; 4:6. [PMID: 15043760 PMCID: PMC406503 DOI: 10.1186/1471-2288-4-6] [Citation(s) in RCA: 37] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2003] [Accepted: 03/25/2004] [Indexed: 11/10/2022] Open
Abstract
Background The purpose of this study was to determine the standard tasks performed by clinical research coordinators (CRCs) in oncology clinical trials. Methods Forty-one CRCs were anonymously surveyed, using a four-page self-administered questionnaire focused on demographics, qualifications, and professional experience. The survey questions on responsibilities consisted of an ad-hoc 32-item questionnaire where respondents had to rate the frequency of involvement in the listed activities using a 3-point scale. We defined as "standard" a task that was rated as "in all or nearly all trials" by at least half of the respondents. Results A response rate of 90% (37 out of 41) was achieved after two mailings. Less than half of the respondents had received additional training in oncology, clinical research or Good Clinical Practices (GCP). Overall, all standard tasks performed by CRCs were in the category of "monitoring activities" (those usually performed by a Clinical Research Associate "CRA") and included patient registration/randomization, recruitment follow-up, case report form completion, collaboration with the CRA, serious adverse events reporting, handling of investigator files, and preparing the site for and/or attending audits. Conclusions CRCs play a key role in the implementation of oncology clinical trials, which goes far beyond mere data collection and/or administrative support, and directly contributes to the gathering of good quality data.
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Affiliation(s)
| | | | | | | | | | - Carlos Camps
- Oncology Department, Hospital General de Valencia, Avda Tres Cruces s/n, 46014-Valencia, Spain
| | - Rafael Rosell
- Medical Oncology Service, Institut Català d'Oncologia, Hospital Germans Trias i Pujol, Ctra. Canyet s/n, 08916-Badalona (Barcelona), Spain
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Ottevanger PB, Therasse P, van de Velde C, Bernier J, van Krieken H, Grol R, De Mulder P. Quality assurance in clinical trials. Crit Rev Oncol Hematol 2003; 47:213-35. [PMID: 12962897 DOI: 10.1016/s1040-8428(03)00028-3] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
From the literature that was initially searched by electronic databases using the keywords quality, quality control and quality assurance in combination with clinical trials, surgery, pathology, radiotherapy, chemotherapy and data management, a comprehensive review is given on what quality assurance means, the various methods used for quality assurance in different aspects of clinical trials and the impact of this quality assurance on outcome and every day practice.
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Affiliation(s)
- P B Ottevanger
- Department of Internal Medicine, Division of Medical Oncology, 550, University Hospital Nijmegen, Geert Grooteplein 8, PO 9101, 6500HB Nijmegen, The Netherlands.
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van Oosterom AT, Mouridsen HT, Nielsen OS, Dombernowsky P, Krzemieniecki K, Judson I, Svancarova L, Spooner D, Hermans C, Van Glabbeke M, Verweij J. Results of randomised studies of the EORTC Soft Tissue and Bone Sarcoma Group (STBSG) with two different ifosfamide regimens in first- and second-line chemotherapy in advanced soft tissue sarcoma patients. Eur J Cancer 2002; 38:2397-406. [PMID: 12460784 DOI: 10.1016/s0959-8049(02)00491-4] [Citation(s) in RCA: 143] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The aim of this phase II study was to evaluate the efficacy and toxicity of two regimens of ifosfamide in metastatic soft tissue sarcoma patients given as first- and second-line chemotherapy. Two different schedules of ifosfamide were investigated in a randomised manner: Ifosfamide was given either at a dose of 5 g/m(2) over 24 h (5 g/m(2)/1 day), every 3 weeks or at a dose of 3 g/m(2) per day, administered over 4 h on three consecutive days (3 g/m(2)/3 days), every 3 weeks. Both schedules were given as first-line or second-line chemotherapy. A total of 182 patients was entered, 103 in first- and 79 in second-line, of whom 8 patients were ineligible, 5 in the first- and 3 in the second-line study. Most patients had a leiomyosarcoma, 46 of the 98 in the first-line and 34 of the 76 in the second-line. The two study arms were well balanced in both the first- and second-lines with respect to sex, age and performance status. In first-line treatment, 5 g/m(2)/1 day yielded five partial responses (PR) (Response Rate (RR) 10%), versus 12 PR (RR 25%) for the 3 g/m(2)/3 days. As second-line treatment, the 24-h infusion yielded: one CR and one PR (RR 6%) and the 3-day schedule one CR and two PR (RR 8%). Survival did not differ between the two regimens. The major World Health Organization (WHO) grade 3 and 4 toxicities encountered were: leucopenia in 19% of all courses in the first-line and 32% in the second-line with the 5 g/m(2)/1 day, while for the 3 g/m(2)/3 days schedule the rates were 57 and 63% respectively. Grade 3 or 4 infections were seen in 4% of patients treated with 5 g/m(2)/1 day first-line and 10% of patients given 3 g/m(2)/3 days, both as first- and second-lines. No such infections were seen in patients receiving 5 g/m(2)/1 day as second line treatment. In advanced soft-tissue sarcomas in the first-line, ifosfamide 3 g/m(2), given over 4 h on three consecutive days, is an active regimen with acceptable toxicity while the 5 g/m(2) over 24 hours schedule resulted in a disappointing response rate.
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Affiliation(s)
- A T van Oosterom
- Department of Oncology, University Hospitals Leuven, Herestraat 49, B-3000 Leuven, Belgium.
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Marinus A. Quality assurance in EORTC clinical trials. European Organisation for Research and Treatment of Cancer. Eur J Cancer 2002; 38 Suppl 4:S159-61. [PMID: 11858986 DOI: 10.1016/s0959-8049(01)00436-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Quality assurance (QA) has become a major factor over recent years in the management and analysis of clinical trials. The EORTC recognised very early the importance of QA in clinical data handling and started in 1992 with the development of the first SOP in the format of a 'Procedures manual' which, from the beginning, had incorporated the EU GCP guidelines. In 1995, a Quality Assurance Unit (QAU) was created to coordinate the various QA activities and to guarantee that all clinical trials do comply at all levels with a minimum of QA requirements. The QAU coordinates internal and external audits and is a mandatory partner in the audits performed by national/international authorities and pharmaceutical industries. This process has been prolonged at the Data Center with the development of a full set of standard operating procedures (SOPs), the implementation of training programmes for each category of staff and an ongoing interval monitoring process.
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Affiliation(s)
- A Marinus
- EORTC Data Center, Avenue E. Mounier 83, bte 11, B-1200, Brussels, Belgium
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Bernier J, Horiot JC, Poortmans P. Quality assurance in radiotherapy: from radiation physics to patient- and trial-oriented control procedures. Eur J Cancer 2002; 38 Suppl 4:S155-8. [PMID: 11858985 DOI: 10.1016/s0959-8049(01)00438-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
The stepwise process of the EORTC Quality Assurance Programme in Radiotherapy is described in function of two main criteria: the targets of the quality control procedures implemented, in Radiation Physics and clinical research, by the EORTC Radiotherapy Group and the development of both trial- and patient-oriented quality systems. This exhaustive program, which started in 1982, is characterised by three main periods. The first one was fully dedicated to pioneer steps in Radiation Physics measurements, on-site audits and inventories of human resources, staff workload and department infrastructure in institutions participating to EORTC trials. During the second period, which started in the late 1980s, a series of quality systems were implemented to test the compliance of the investigators to follow protocol guidelines, through the use of standard and uniform control procedures like the dummy runs, in order to tackle systematic errors in the participating institutions. Finally, the third period, which took place in the 1990s, was essentially patient-oriented, thanks to large scale individual case reviews, to check the validity of data recording and reporting processes and trace random errors throughout the radiotherapy treatments. Most of the results collected during these two decades allowed the implementation of well codified quality control procedures which, nowadays, can be used outside the field of clinical research, by national societies or bodies willing to improve treatment standards on a large scale.
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Affiliation(s)
- J Bernier
- Ospedale San Giovanni, Rue de l'Hopital, CH-6500, Bellinzona, Switzerland.
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Arts DGT, De Keizer NF, Scheffer GJ. Defining and improving data quality in medical registries: a literature review, case study, and generic framework. J Am Med Inform Assoc 2002; 9:600-11. [PMID: 12386111 PMCID: PMC349377 DOI: 10.1197/jamia.m1087] [Citation(s) in RCA: 349] [Impact Index Per Article: 15.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
Abstract
Over the past years the number of medical registries has increased sharply. Their value strongly depends on the quality of the data contained in the registry. To optimize data quality, special procedures have to be followed. A literature review and a case study of data quality formed the basis for the development of a framework of procedures for data quality assurance in medical registries. Procedures in the framework have been divided into procedures for the co-ordinating center of the registry (central) and procedures for the centers where the data are collected (local). These central and local procedures are further subdivided into (a) the prevention of insufficient data quality, (b) the detection of imperfect data and their causes, and (c) actions to be taken / corrections. The framework can be used to set up a new registry or to identify procedures in existing registries that need adjustment to improve data quality.
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Affiliation(s)
- Danielle G T Arts
- Department of Medical Informatics, Academic Medical Center, Amsterdam, The Netherlands.
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Landheer ML, Therasse P, van de Velde CJ. Quality assurance in surgical oncology (QASO) within the European Organization for Research and Treatment of Cancer (EORTC): current status and future prospects. Eur J Cancer 2001; 37:1450-62. [PMID: 11506950 DOI: 10.1016/s0959-8049(01)00157-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
The European Organization for Research and Treatment of Cancer (EORTC) has a long history in the development of quality assurance, in particular in radio- and chemotherapy. Quality assurance in surgical oncology is considered to be more complicated, because it is a multistep procedure depending on the individual. Because of the growing importance of the quality of surgical intervention in the multi-modality treatment approach of most cancers, the EORTC recently decided to investigate the current status of quality assurance programmes, both outside and within, the EORTC. The review of EORTC involvement in this area has been conducted on the basis of interviews with subcommittee chairmen and Data Center teams of the EORTC clinical research groups. In addition, clinical trial protocols, case report forms (CRFs) and publications by the EORTC groups related to this field were considered as possible sources of information. Several methods have been used or are currently under investigation to ensure the quality of surgery within clinical trials. These include review of reported data, standardisation of surgery and pathology forms, training sessions and site visits. However, there has been no attempt to harmonise these initiatives across the different medical specialties. The EORTC will have to address this problem within its short-term scientific strategy.
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Affiliation(s)
- M L Landheer
- EORTC Data Center, Avenue E Mounier 83/1, 1200 Brussels, Belgium.
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Favalli G, Vermorken JB, Vantongelen K, Renard J, Van Oosterom AT, Pecorelli S. Quality control in multicentric clinical trials. An experience of the EORTC Gynecological Cancer Cooperative Group. Eur J Cancer 2000; 36:1125-33. [PMID: 10854946 DOI: 10.1016/s0959-8049(00)00090-3] [Citation(s) in RCA: 20] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Data Quality is a central requirement of scientific research and external monitoring is essential in multicentric clinical trials (MCT). A quality control (QC) study was conducted in the main Institutions participating in EORTC-GCCG Protocol number 55863 - randomised phase III trial of vindesine, cisplatin, bleomycin and mitomycin-C (BEMP) versus cisplatin (P) in disseminated squamous cell carcinoma of the uterine cervix - in order to assess the impact of variations in data quality on the conclusions of the trial. The reliability of the different centres in following the protocol was investigated by a questionnaire covering drug prescription, local facilities and the procedure for preparation and administration of chemotherapy. The 'treatment protocol adherence' was evaluated by recalculation of the ideal protocol dose and its comparison with the actual delivered dosage at each cycle of chemotherapy. 'Data quality control' was assessed by comparison of data on case report forms (CRFs) with the corresponding items in the medical records. Eleven centres participating in the trial were visited by the same team of reviewers. Striking differences were noted in the chemotherapy administration procedures and between the type and quality of hospital files. Overall, there was an acceptable level of data quality and protocol compliance. Data accuracy was 81.8% (range: 65. 6-97%) of the 4424 items checked. Incorrect data were found in 7.0% (2.3-14.5%), data were missing on the form in 3.6% of cases (0-12%) and data was on the form but not in the file in 7.6% of cases (0. 7-17.5%). Causes of inaccuracy were analysed. Both problems in data management but also in a lack of clarity of the protocol and/or CRFs were to blame. Training and supervision of data managers, precision in writing protocols, standardisation of some aspects of CRFs and the use of a checklist for chemotherapy data and treatment toxicities would have avoided many of these errors. The need for QC in all collaborative groups performing MCT is emphasised. A literature review on QC in MCT dealing with chemotherapy is included.
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Affiliation(s)
- G Favalli
- Department of Gynecologic Oncology, University of Brescia, Spedali Civili Brescia, Italy
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Nielsen OS, Judson I, van Hoesel Q, le Cesne A, Keizer HJ, Blay JY, van Oosterom A, Radford JA, Svancárová L, Krzemienlecki K, Hermans C, van Glabbeke M, Oosterhuis JW, Verweij J. Effect of high-dose ifosfamide in advanced soft tissue sarcomas. A multicentre phase II study of the EORTC Soft Tissue and Bone Sarcoma Group. Eur J Cancer 2000; 36:61-7. [PMID: 10741296 DOI: 10.1016/s0959-8049(99)00240-3] [Citation(s) in RCA: 111] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
In this phase II study the effect of high-dose ifosfamide (HDI) given as a 3-day continuous infusion at a dose of 12 g/m2 repeated every 4 weeks with adequate mesna protection and hydration was evaluated in patients with advanced soft tissue sarcomas. A total of 124 patients entered the trial of which 10 were ineligible. HDI was given both as first-line and second-line chemotherapy. Median age was 46 years (19-66 years). Median World Health Organization (WHO) performance status was 1 (0-1). Fifty two per cent of the patients were males. The predominant histology was leiomyosarcoma (33%). A maximum of six cycles was given. At the time of analysis 55 patients have died. The partial response (PR) rate was 16%. The median time to progression was 15 weeks. 8 of the 18 responding patients (44%) had synovial sarcomas, whereas only 5% of the patients having leiomyosarcomas responded. The grade 3 + 4 haematological toxicity encountered was neutrophils in 78% and platelets in 12%. The major grade 3 + 4 non-haematological toxicities encountered were febrile neutropenia in 39%, infection in 20%, and acute renal failure in 4%. In conclusion, it is possible to administer HDI on a multicentre basis, but the toxicity is substantial. HDI given as a continuous infusion at this dose cannot be recommended as the standard treatment of advanced soft tissue sarcomas, even in selected patients.
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Affiliation(s)
- O S Nielsen
- Centre for Bone and Soft Tissue Sarcomas, Aarhus University Hospital, Denmark.
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Buyse M, George SL, Evans S, Geller NL, Ranstam J, Scherrer B, Lesaffre E, Murray G, Edler L, Hutton J, Colton T, Lachenbruch P, Verma BL. The role of biostatistics in the prevention, detection and treatment of fraud in clinical trials. Stat Med 1999; 18:3435-51. [PMID: 10611617 DOI: 10.1002/(sici)1097-0258(19991230)18:24<3435::aid-sim365>3.0.co;2-o] [Citation(s) in RCA: 132] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Recent cases of fraud in clinical trials have attracted considerable media attention, but relatively little reaction from the biostatistical community. In this paper we argue that biostatisticians should be involved in preventing fraud (as well as unintentional errors), detecting it, and quantifying its impact on the outcome of clinical trials. We use the term 'fraud' specifically to refer to data fabrication (making up data values) and falsification (changing data values). Reported cases of such fraud involve cheating on inclusion criteria so that ineligible patients can enter the trial, and fabricating data so that no requested data are missing. Such types of fraud are partially preventable through a simplification of the eligibility criteria and through a reduction in the amount of data requested. These two measures are feasible and desirable in a surprisingly large number of clinical trials, and neither of them in any way jeopardizes the validity of the trial results. With regards to detection of fraud, a brute force approach has traditionally been used, whereby the participating centres undergo extensive monitoring involving up to 100 per cent verification of their case records. The cost-effectiveness of this approach seems highly debatable, since one could implement quality control through random sampling schemes, as is done in fields other than clinical medicine. Moreover, there are statistical techniques available (but insufficiently used) to detect 'strange' patterns in the data including, but no limited to, techniques for studying outliers, inliers, overdispersion, underdispersion and correlations or lack thereof. These techniques all rest upon the premise that it is quite difficult to invent plausible data, particularly highly dimensional multivariate data. The multicentric nature of clinical trials also offers an opportunity to check the plausibility of the data submitted by one centre by comparing them with the data from all other centres. Finally, with fraud detected, it is essential to quantify its likely impact upon the outcome of the clinical trial. Many instances of fraud in clinical trials, although morally reprehensible, have a negligible impact on the trial's scientific conclusions.
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Affiliation(s)
- M Buyse
- International Institute for Drug Development, Brussels, and Limburgs Universitair Centrum, Diepenbeek, Belgium.
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Buyse M, George SL, Evans S, Geller NL, Ranstam J, Scherrer B, Lesaffre E, Murray G, Edler L, Hutton J, Colton T, Lachenbruch P, Verma BL. The role of biostatistics in the prevention, detection and treatment of fraud in clinical trials. Stat Med 1999. [DOI: 10.1002/(sici)1097-0258(19991230)18:24%3c3435::aid-sim365%3e3.0.co;2-o] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Nielsen OS, Dombernowsky P, Mouridsen H, Crowther D, Verweij J, Buesa J, Steward W, Daugaard S, van Glabbeke M, Kirkpatrick A, Tursz T. High-dose epirubicin is not an alternative to standard-dose doxorubicin in the treatment of advanced soft tissue sarcomas. A study of the EORTC soft tissue and bone sarcoma group. Br J Cancer 1998; 78:1634-9. [PMID: 9862576 PMCID: PMC2063236 DOI: 10.1038/bjc.1998.735] [Citation(s) in RCA: 84] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
The activity and toxicity of single-agent standard-dose doxorubicin were compared with that of two schedules of high-dose epirubicin. A total of 334 chemonaive patients with histologically confirmed advanced soft-tissue sarcomas received (A) doxorubicin 75 mg m(-2) on day 1 (112 patients), (B) epirubicin 150 mg m(-2) on day 1 (111 patients) or (C) epirubicin 50 mg m(-2) day(-1) on days 1, 2 and 3 (111 patients); all given as bolus injection at 3-week intervals. A median of four treatment cycles was given. Median age was 52 years (19-70 years) and performance score 1 (0-2). Of 314 evaluable patients, 45 (14%) had an objective tumour response (eight complete response, 35 partial response). There were no differences among the three groups. Median time to progression for groups A, B and C was 16, 14 and 12 weeks, and median survival 45, 47 and 45 weeks respectively. Neither progression-free (P = 0.93) nor overall survival (P = 0.89) differed among the three groups. After the first cycle of therapy, two patients died of infection and one owing to cardiovascular disease, all on epirubicin. Both dose schedules of epirubicin were more myelotoxic than doxorubicin. Cardiotoxicity (> or = grade 3) occurred in 1%, 0% and 2% respectively. Regardless of the schedule, high-dose epirubicin is not a preferred alternative to standard-dose doxorubicin in the treatment of patients with advanced soft-tissue sarcomas.
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Affiliation(s)
- O S Nielsen
- Centre for Bone and Soft Tissue Sarcomas, Aarhus University Hospital, Denmark
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Knatterud GL, Rockhold FW, George SL, Barton FB, Davis CE, Fairweather WR, Honohan T, Mowery R, O'Neill R. Guidelines for quality assurance in multicenter trials: a position paper. CONTROLLED CLINICAL TRIALS 1998; 19:477-93. [PMID: 9741868 DOI: 10.1016/s0197-2456(98)00033-6] [Citation(s) in RCA: 65] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
In the wake of reports of falsified data in one of the trials of the National Surgical Adjuvant Project for Breast and Bowel Cancer supported by the National Cancer Institute, clinical trials came under close scrutiny by the public, the press, and Congress. Questions were asked about the quality and integrity of the collected data and the analyses and conclusions of trials. In 1995, the leaders of the Society for Clinical Trials (the Chair of the Policy Committee, Dr. David DeMets, and the President of the Society, Dr. Sylvan Green) asked two members of the Society (Dr. Genell Knatterud and Dr. Frank Rockhold) to act as co-chairs of a newly formed subcommittee to discuss the issues of data integrity and auditing. In consultation with Drs. DeMets and Green, the co-chairs selected other members (Ms. Franca Barton, Dr. C.E. Davis, Dr. Bill Fairweather, Dr. Stephen George, Mr. Tom Honohan, Dr. Richard Mowery, and Dr. Robert O'Neill) to serve on the subcommittee. The subcommittee considered "how clean clinical trial data should be, to what extent auditing procedures are required, and who should conduct audits and how often." During the initial discussions, the subcommittee concluded that data auditing was insufficient to achieve data integrity. Accordingly, the subcommittee prepared this set of guidelines for standards of quality assurance for multicenter clinical trials. We include recommendations for appropriate action if problems are detected.
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Affiliation(s)
- G L Knatterud
- Maryland Medical Research Institute, Baltimore 21210, USA
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Hansen PS, Andersen E, Andersen KW, Mouridsen HT. Quality control of end results in a Danish adjuvant breast cancer multi-center study. Acta Oncol 1998; 36:711-4. [PMID: 9490088 DOI: 10.3109/02841869709001342] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
In a Danish multi-center study, quality control was performed on off-study data for high-risk breast cancer patients included in protocols of adjuvant therapy. In the two protocols 4455 patients were randomized and 2477 were registered off-study. Data from these patients were validated by reviewing the patients' records. Incorrect data were observed in 16.2% of the cases who went off-study due to recurrence, other malignant disease or death. In 258 of 2133 patients unidentical locations were demonstrated. Of these, 104 showed a time difference also. A major difference in site of recurrence was found in 107 patients (5.0%), 43 of whom were upstaged from local to a distant recurrence and 64 were downstaged. A time difference of more than 30 days was found in 192 patients (9.0%) and in 17 the difference exceeded 366 days. A time difference only was found in 88 patients (4%). The major parameter in the statistical analysis of the two protocols, i.e. recurrence-free survival, was not significantly influenced by the validation.
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Affiliation(s)
- P S Hansen
- Department of Internal Medicine, Viborg Hospital, Denmark
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33
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Brown JM, Haining SA, Hale JM. Views on local data management in cancer clinical trials. Clin Oncol (R Coll Radiol) 1998; 9:403-6. [PMID: 9448971 DOI: 10.1016/s0936-6555(97)80138-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
The randomized clinical trial is the ultimate method of establishing the value of any new cancer treatment, but the percentage of patients with cancer in the UK who are included in clinical trials of any sort is in single figures. The reasons for this low figure include both patient and clinician factors. The extra work involved in trials is cited repeatedly by clinicians as the main reason for not entering patients into cancer clinical trials. This paper discusses how the provision of local data management could be one important way to improve recruitment into and to ensure the smooth running of clinical trials.
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Affiliation(s)
- J M Brown
- Yorkshire Clinical Trials and Research Unit, Leeds, UK
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34
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Califf RM, Karnash SL, Woodlief LH. Developing systems for cost-effective auditing of clinical trials. CONTROLLED CLINICAL TRIALS 1997; 18:651-60; discussion 661-6. [PMID: 9408727 DOI: 10.1016/s0197-2456(96)00237-1] [Citation(s) in RCA: 25] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Auditing a clinical trial is a complex process designed to ensure that the trial will provide a reliable answer to the question being posed. Traditional auditing methods are expensive, and escalate the cost of clinical trials. This paper describes approaches to cost-effective monitoring of clinical trials, such as integrating them with clinical practice and focusing the data being collected. Sampling methods for source documentation can be used to eliminate costs incurred by reviewing every record. These measures, coupled with prospective clinical judgment about areas of concern in the conduct of trials, can reduce complications and costs without sacrificing quality.
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Affiliation(s)
- R M Califf
- Clinical Research Institute, Duke University Medical Center, Durham, North Carolina 27705, USA
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35
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Verweij J, Nielsen OS, Therasse P, van Oosterom AT. The use of a systemic therapy checklist improves the quality of data acquisition and recording in multicentre trials. A study of the EORTC Soft Tissue and Bone Sarcoma Group. Eur J Cancer 1997; 33:1045-9. [PMID: 9376185 DOI: 10.1016/s0959-8049(97)00027-0] [Citation(s) in RCA: 18] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
The aim of this study was to verify whether the introduction of a systemic therapy checklist in the performance of multinational multicentre studies improves the quality of data acquisition and recording. We retrospectively analysed the results obtained through the use of this checklist in a study of the EORTC Soft Tissue and Bone Sarcoma Group. During the clinical trial, data were recorded in the hospital record with optional use of a predesigned EORTC Systemic Therapy Checklist. After completion of the study, 11 centres were monitored for the use of this checklist. Monitors were highly experienced medical oncologists. Items checked included all aspects of patient eligibility, drug administration, biochemical and haematological values, variables related to toxicities of treatment and response parameters. Data of 183 cycles given to 51 patients were checked. A total of 8983 items were checked. 91% of the data was reported correctly, 1% was missing and 6% was reported on the case record from (CRF) but could not be retrieved in the hospital record file. Compared with data obtained before the introduction of the checklist (68% correct, 4% incorrect, 0.1% missing and 28% on CRF but not in hospital files), these results show marked improvement generally. In centres where no Systemic Therapy Checklist was used, 85.9% of data were correct 2.8% incorrect, 0.7% missing and 10.6% only on CRF, which compares unfavourably with those where the Systemic Checklist was completely used (97.7% correct, 0.7% incorrect, 1% missing, 0.6% only on CRF). In addition the time required for data checking largely decreased by the use of the checklist-without this, a median of 3.5 cycles could be checked per hour, whilst if the checklist was used, this number increased to 6.5 cycles per hour. The use of a Systemic Therapy Checklist as an integral part of the hospital file for data recording in multicentre multinational trials is highly recommended and leads to a major improvement in data quality.
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Affiliation(s)
- J Verweij
- Department of Medical Oncology, Rotterdam Cancer Institute (Daniel den Hoed Kliniek), The Netherlands
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36
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van Tienhoven G, Mijnheer BJ, Bartelink H, González DG. Quality assurance of the EORTC Trial 22881/10882: boost versus no boost in breast conserving therapy. An overview. Strahlenther Onkol 1997; 173:201-7. [PMID: 9111608 DOI: 10.1007/bf03039289] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
BACKGROUND The initial quality assurance programme of the EORTC Radiotherapy Cooperative Group in trial 22881/10882 is described. The implications of its results for quality assurance in future trials are discussed. METHODS In the EORTC trial 22881/10882 patients with stage I or II breast cancer are treated with tumor excision, axillary dissection, 50 Gy whole breast irradiation and then randomized to receive a boost dose of 15 Gy or no boost following complete tumor excision or between 10 Gy or 25 Gy in case of incomplete excision. To avoid or diminish protocol deviations and to quantify inevitable variations an extensive initial quality assurance programme was conducted. The programme consisted of a dummy run procedure an individual case review procedure, in vivo dosimetry studies and phantom dosimetry studies. RESULTS This combination of quality assurance procedures allows a good estimation of patient to patient and inter-institutional variations, and early detection of (potential) systematic protocol deviations of 3 types: 1. Deviations due to ambiguities in the protocol prescriptions. 2. Deviations not known to the institution, such as mistakes in implementation of treatment planning algorithms resulting in a systematic overdosage or underdosage. 3. Inability of an institution to cope with (precise) protocol prescriptions for technical or logistic reasons. DISCUSSION The first 2 types of deviations may be corrected or avoided by direct discussions and recommendations. With respect to the third type it is up to the trial coordinator to accept participation or not, depending upon the relative importance of the particular deviation(s) for the trial end points. To be effective, such a quality assurance programme must be implemented as early as possible in the course of a clinical trial.
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Abstract
Data in computer-based patient records (CPRs) have many uses beyond their primary role in patient care, including research and health-system management. Although the accuracy of CPR data directly affects these applications, there has been only sporadic interest in, and no previous review of, data accuracy in CPRs. This paper reviews the published studies of data accuracy in CPRs. These studies report highly variable levels of accuracy. This variability stems from differences in study design, in types of data studied, and in the CPRs themselves. These differences confound interpretation of this literature. We conclude that our knowledge of data accuracy in CPRs is not commensurate with its importance and further studies are needed. We propose methodological guidelines for studying accuracy that address shortcomings of the current literature. As CPR data are used increasingly for research, methods used in research databases to continuously monitor and improve accuracy should be applied to CPRs.
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Affiliation(s)
- W R Hogan
- Center for Biomedical Informatics, University of Pittsburgh, PA, USA. wrh3+@pitt.edu
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39
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Timm EG, Welage LS, Walawander CA, Sayers JF, Karpiuk EL, Davis TD, Grasela TH. Adverse drug reaction reporting in a multicenter surveillance study. Ann Pharmacother 1995; 29:240-5. [PMID: 7606067 DOI: 10.1177/106002809502900302] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
OBJECTIVE To evaluate the performance of a multicenter, prospective surveillance program in identifying adverse events, and to seek explanations for misclassification bias. DESIGN The design was a prospective observational study of patients with documented or suspected bacterial pneumonia. SETTING Data were collected in 74 acute care hospitals across the US. PATIENTS This evaluation was based on a consecutive sample of 1822 adult patients (> 18 years of age) with documented or suspected bacterial pneumonia who were being treated with a cephalosporin, a penicillin, or an aminoglycoside over a 3-month period. Patients were followed for the duration of antibiotic therapy and were excluded if antibiotic therapy was < 3 days or if the pneumonia was judged to be nonbacterial. INTERVENTIONS Clinical pharmacists documented patient demographics, concurrent illnesses and medications, antibiotic administration, relevant laboratory data, and the occurrence of nephrotoxicity and neutropenia. MAIN OUTCOME MEASURES Validity of investigators' identification of neutropenia and nephrotoxicity as compared with objective laboratory data was assessed by using sensitivity, specificity, and positive and negative predictive value measures. RESULTS Among the 1502 patients with sufficient data to evaluate neutropenia, there was agreement in 1270 patients (84.6%); likewise, among 1291 patients with sufficient data to evaluate nephrotoxicity there was agreement in 1186 patients (91.9%). Sensitivity of the researchers' assessments was 50.9% and 71.0% for neutropenia and nephrotoxicity, respectively. The negative predictive value was > 95% for both events. CONCLUSIONS Overall, this evaluation demonstrated that the Drug Surveillance Network can successfully identify targeted adverse events. Moreover, this study highlights the importance of validation for all types of outcomes-oriented research studies.
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Affiliation(s)
- E G Timm
- Department of Pharmacy, Mary Imogene Bassett Hospital, Coopertown, NY, USA
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Abstract
Quality assurance in radiation oncology attempts to prescribe consistent, safe, and optimal delivery of radiation to treat disease. It encompasses three major areas of treatment: clinical, physical, and technical. Although national approaches and guidelines of quality assurance in radiation oncology are available, they usually are not adequate to deal with the particular needs of individual institutions, nor are they adequate to ensure uniform standards of diagnosis and treatment among institutions. Therefore, it is important for individual institutions to develop and implement strict quality assurance standards, based on national guidelines as well as their own strengths and needs, to ensure that patients receive the highest quality of radiotherapy and that the successes and failures of treatment are statistically reliable. This paper addresses the importance of quality assurance in radiation oncology and examines the quality assurance program in the Department of Therapeutic Radiology-Radiation Oncology at the University of Minnesota as an example of a program tailored to the needs of an individual institution.
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Affiliation(s)
- S H Levitt
- Department of Therapeutic Radiology-Radiation Oncology, University of Minnesota, Minneapolis 55455
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41
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Riley D, Ward L, Young T. Oncology data management in the UK--BODMA's view. British Oncology Data Managers Association. Br J Cancer 1994; 70:391-4. [PMID: 8080719 PMCID: PMC2033357 DOI: 10.1038/bjc.1994.314] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
Over the past 10 years, the original partnership of clinician and statistician for the running of clinical research projects, especially clinical trials, has come to be supplemented by the data manager and trial coordinator. Increasing numbers of such personnel are now being employed, covering a wide diversity of work areas, including clinical research, medical audit and the cancer registries. The British Oncology Data Managers Association (BODMA) was founded in 1987 and is now in a good position to review the current status of data management in the UK. It is proposed that a national network of data managers and trial coordinators within specialist trials centres, oncology departments and district general hospitals, with a good training programme, plus a recognised career structure, is the way to make the best use of this key resource. BODMA is addressing many of these issues and aims to improve and maintain the quality of data management.
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Franklin HR, Simonetti GP, Dubbelman AC, ten Bokkel Huinink WW, Taal BG, Wigbout G, Mandjes IA, Dalesio OB, Aaronson NK. Toxicity grading systems. A comparison between the WHO scoring system and the Common Toxicity Criteria when used for nausea and vomiting. Ann Oncol 1994; 5:113-7. [PMID: 8186153 DOI: 10.1093/oxfordjournals.annonc.a058760] [Citation(s) in RCA: 39] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND The Common Toxicity Criteria adopted by the NCI in the USA for grading toxicity in cancer clinical trials have been compared to the WHO scoring system which is still in use in Europe. PATIENTS & METHODS Sixty-six patients undergoing emetic chemotherapy at the Netherlands Cancer Institute completed questionnaires, 32 according to the WHO criteria and 34 to the Common Toxicity Criteria, on the severity, frequency and duration of gastro-intestinal toxicity. Their answers were then compared to the scores coded by research nurses and physicians. The nurses coded acute toxicity when the patients were discharged, and the doctors coded overall toxicity when the patients returned for the subsequent course of chemotherapy. To evaluate the coding systems, an estimate was made of the percentage agreement between the patients' answers and the nurses' and doctors' ratings. RESULTS The percentage agreement of the Common Toxicity Criteria with the patients' own experiences of nausea and vomiting was considerably better than that of the WHO score. The Gamma statistic confirmed this. The Common Toxicity Criteria have now been adopted for grading toxicity in studies of the Early Clinical Trials Group of the EORTC and are recommended for use in other clinical trials.
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Affiliation(s)
- H R Franklin
- The Netherlands Cancer Institute, Antonie van Leeuwenhoek Huis, Amsterdam
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43
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van Tienhoven G, van Bree NA, Mijnheer BJ, Bartelink H. Quality assurance of the EORTC trial 22881/10882: "assessment of the role of the booster dose in breast conserving therapy": the Dummy Run. EORTC Radiotherapy Cooperative Group. Radiother Oncol 1991; 22:290-8. [PMID: 1792323 DOI: 10.1016/0167-8140(91)90165-d] [Citation(s) in RCA: 55] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
The EORTC trial 22881/10882 is a randomised trial with the aim to assess the role of the boost dose in breast conserving therapy in stage I and II breast cancer. In order to detect potential protocol deviations concerning irradiation technique and in the dose specification procedure of participating institutions before actual patient accrual, a Dummy Run was performed. Three transverse sections of a patient were sent to 16 participating institutions with a request to make a three-plane treatment plan according to the protocol prescriptions. A treatment chart and beam data were also requested for recalculation of the dose. Additional information was asked in a questionnaire. On evaluation, the techniques differed considerably with respect to photon beam energy, varying between 60Co gamma-rays and 8 MV X-rays, and the use of wedge filters. Two institutions did not apply wedges, whereas wedge angles in the other institutions varied between 6 degrees and 45 degrees. Twelve institutions used collimator rotation and/or a table wedge to diminish the amount of irradiated lung volume. The dose was specified in a point according to the protocol prescription in 11 institutions and to the 90, 95 or 100% isodose curve in four. Twelve institutions applied lung density corrections during treatment planning, while nine reported problems with their planning system in off-axis dose distribution calculation and/or the simulation of collimator rotation. Recalculation of the dose at the isocentre showed agreement within 2% compared with the stated dose. The dose reported in the tumour excision area varied between 93 and 100%.(ABSTRACT TRUNCATED AT 250 WORDS)
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Affiliation(s)
- G van Tienhoven
- Radiotherapy Department, Netherlands Cancer Institute (Antoni van Leeuwenhoek Huis), Amsterdam
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Abstract
The appropriate use and supervision of research assistants is essential to the success of a research study and the avoidance of academic misconduct. The focus of this article is to provide guidelines for the new principal investigator regarding hiring, contracting, orienting, monitoring, and evaluating research assistants. Particular attention is given to techniques that will avoid academic misconduct resulting from research assistants being uninformed or unsupervised.
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Affiliation(s)
- A G Gift
- School of Nursing, University of Maryland, Baltimore 21201
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Schaake-Koning C, Kirkpatrick A, Kröger R, van Zandwijk N, Bartelink H. The need for immediate monitoring of treatment parameters and uniform assessment of patient data in clinical trials. A quality control study of the EORTC Radiotherapy and Lung Cancer Cooperative Groups. Eur J Cancer 1991; 27:615-9. [PMID: 1647185 DOI: 10.1016/0277-5379(91)90242-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
A quality control study was performed during the EORTC phase III study 08844: radiotherapy combined with low dose cisplatin (cDDP) in inoperable non-metastatic non-small cell lung cancer. Radiation alone (55 Gy, split course) was compared to radiotherapy with 30 mg/m2 cisplatin once a week and to radiotherapy with 6 mg/m2 cisplatin daily. The purpose of the control study was to check to which degree protocol guidelines were followed and to measure the extent of differences in assessment of tumour response, recurrence and toxicities between the individual institutes. A review team, consisting of a data manager, a diagnostic radiologist, a chest physician and two radiotherapists reviewed entry criteria, treatment data, tumour responses, recurrences and late toxicity of 177 patients (a total of 300 patients was required for the trial). Only departments which had entered more than 5% of this number of patients were visited. There was a 15% difference in T staging of the patients and a 17% discrepancy in N stage scoring between the review team and the local investigators. Radiotherapy field sizes were insufficient in 15% of the eligible patients during a period of the radiotherapy; in another 17% patients the tumour free margin was less than 1 cm. Radiation doses were incorrectly given to 7% of the patients. The given doses of cisplatin deviated in 10% of the patients treated with combined modalities. The interpretation of chest X-rays and computed tomography (CT) showed important differences in tumour response, tumour recurrence and late toxicity. From these data it is concluded that immediate checks can detect errors in treatments as planned at the local level and will make corrections possible at an early stage in multicentre studies. The quality of trial results will thus be improved. Uniform assessment of treatment outcome, tumour progression and forms of toxicity will lead to more sound trial conclusions.
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Affiliation(s)
- C Schaake-Koning
- Department of Radiotherapy, The Netherlands Cancer Institute, Amsterdam
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Vantongelen K, Steward W, Blackledge G, Verweij J, Van Oosterom A. EORTC joint ventures in quality control: treatment-related variables and data acquisition in chemotherapy trials. Eur J Cancer 1991; 27:201-7. [PMID: 1827289 DOI: 10.1016/0277-5379(91)90488-y] [Citation(s) in RCA: 36] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
In multicentre studies, non-compliance with the protocol may limit the chances of reaching a correct conclusion. A procedure to examine the administration of chemotherapy in multicentre EORTC protocols has been developed. General aspects are covered in a mailed questionnaire on the prescription of drugs with rounding up or down of dosages, local facilities for preparation and the procedure for preparation and administration. More detail is collected during a quality control site visit. Ten centres have been visited and there was significant variation between centres in the organisation of chemotherapy administration. However, more striking differences were noted between the type and quality of hospital files. The lack of systematic recording of sequence, timing and doses of chemotherapy and, in particular, treatment related toxicity, is a major difficulty limiting the effectiveness of quality control. These shortcomings emphasise the need for standardisation of some aspects of case records and a suggested check-list has been drafted.
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Affiliation(s)
- K Vantongelen
- U.H. St. Rafaël, Radiotherapy Department, Leuven, Belgium
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