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Krismastuti FSH, Habibie MH. Complying with the resource requirements of ISO/IEC 17025:2017 in Indonesian calibration and testing laboratories: current challenges and future directions. Accredit Qual Assur 2022; 27:359-367. [PMID: 36275871 PMCID: PMC9579603 DOI: 10.1007/s00769-022-01523-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/11/2021] [Accepted: 09/13/2022] [Indexed: 06/16/2023]
Abstract
Compliance with all the requirements in the ISO/IEC 17025:2017 is crucial for testing and calibration laboratories in assuring the quality of measurement conducted in their laboratories. The latest version of the ISO/IEC 17025:2017 presents a different structure compared to the previous version, ISO/IEC 17025:2005. Therefore, amendments in the quality documents and the operational procedures in the laboratories are urgently required. However, not all laboratories' personnel understand this new standard and know how to implement or incorporate this new version standard with their old version documents and operational procedures. It causes a problem for the testing and calibration laboratories, especially in Indonesia. This study is expected to provide enlightenment and hints for the laboratories struggling to comply with the ISO/IEC 17025:2017.
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Affiliation(s)
- Fransiska Sri Herwahyu Krismastuti
- Research Center for Chemistry – National Research and Innovation Agency (BRIN), Kawasan PUSPIPTEK, Building 452, Serpong, Tangerang Selatan, Banten 15314 Indonesia
| | - Muhammad Haekal Habibie
- Research Center for Testing Technology and Standards – National Research and Innovation Agency (BRIN), Kawasan PUSPIPTEK, Building 417, Serpong, Tangerang Selatan, Banten 15314 Indonesia
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Wason JMS, Dimairo M, Biggs K, Bowden S, Brown J, Flight L, Hall J, Jaki T, Lowe R, Pallmann P, Pilling MA, Snowdon C, Sydes MR, Villar SS, Weir CJ, Wilson N, Yap C, Hancock H, Maier R. Practical guidance for planning resources required to support publicly-funded adaptive clinical trials. BMC Med 2022; 20:254. [PMID: 35945610 PMCID: PMC9364623 DOI: 10.1186/s12916-022-02445-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 06/20/2022] [Indexed: 11/15/2022] Open
Abstract
Adaptive designs are a class of methods for improving efficiency and patient benefit of clinical trials. Although their use has increased in recent years, research suggests they are not used in many situations where they have potential to bring benefit. One barrier to their more widespread use is a lack of understanding about how the choice to use an adaptive design, rather than a traditional design, affects resources (staff and non-staff) required to set-up, conduct and report a trial. The Costing Adaptive Trials project investigated this issue using quantitative and qualitative research amongst UK Clinical Trials Units. Here, we present guidance that is informed by our research, on considering the appropriate resourcing of adaptive trials. We outline a five-step process to estimate the resources required and provide an accompanying costing tool. The process involves understanding the tasks required to undertake a trial, and how the adaptive design affects them. We identify barriers in the publicly funded landscape and provide recommendations to trial funders that would address them. Although our guidance and recommendations are most relevant to UK non-commercial trials, many aspects are relevant more widely.
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Affiliation(s)
- James M S Wason
- Biostatistics Research Group, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.
| | - Munyaradzi Dimairo
- School of Health and Related Research, Clinical Trials Research Unit, University of Sheffield, Sheffield, UK
| | - Katie Biggs
- School of Health and Related Research, Clinical Trials Research Unit, University of Sheffield, Sheffield, UK
| | - Sarah Bowden
- Cancer Research UK Clinical Trials Unit (CRCTU), University of Birmingham, Birmingham, UK
| | - Julia Brown
- Cancer Research UK CTU, University of Leeds, Leeds, UK
| | - Laura Flight
- School of Health and Related Research, Health Economics and Decision Science, University of Sheffield, Sheffield, UK
| | - Jamie Hall
- School of Health and Related Research, Clinical Trials Research Unit, University of Sheffield, Sheffield, UK
| | - Thomas Jaki
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
- Department of Mathematics and Statistics, Lancaster University, Lancaster, UK
| | - Rachel Lowe
- Centre for Trials Research, Cardiff University, Cardiff, UK
| | | | - Mark A Pilling
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Claire Snowdon
- The Institute of Cancer Research Clinical Trials & Statistics Unit, London, UK
| | | | - Sofía S Villar
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
| | - Christopher J Weir
- Edinburgh Clinical Trials Unit, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Nina Wilson
- Biostatistics Research Group, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Christina Yap
- The Institute of Cancer Research Clinical Trials & Statistics Unit, London, UK
| | - Helen Hancock
- Newcastle Clinical Trials Unit, Newcastle University, Newcastle upon Tyne, UK
| | - Rebecca Maier
- Newcastle Clinical Trials Unit, Newcastle University, Newcastle upon Tyne, UK
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Wilson N, Biggs K, Bowden S, Brown J, Dimairo M, Flight L, Hall J, Hockaday A, Jaki T, Lowe R, Murphy C, Pallmann P, Pilling MA, Snowdon C, Sydes MR, Villar SS, Weir CJ, Welburn J, Yap C, Maier R, Hancock H, Wason JMS. Costs and staffing resource requirements for adaptive clinical trials: quantitative and qualitative results from the Costing Adaptive Trials project. BMC Med 2021; 19:251. [PMID: 34696781 PMCID: PMC8545558 DOI: 10.1186/s12916-021-02124-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Accepted: 09/13/2021] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Adaptive designs offer great promise in improving the efficiency and patient-benefit of clinical trials. An important barrier to further increased use is a lack of understanding about which additional resources are required to conduct a high-quality adaptive clinical trial, compared to a traditional fixed design. The Costing Adaptive Trials (CAT) project investigated which additional resources may be required to support adaptive trials. METHODS We conducted a mock costing exercise amongst seven Clinical Trials Units (CTUs) in the UK. Five scenarios were developed, derived from funded clinical trials, where a non-adaptive version and an adaptive version were described. Each scenario represented a different type of adaptive design. CTU staff were asked to provide the costs and staff time they estimated would be needed to support the trial, categorised into specified areas (e.g. statistics, data management, trial management). This was calculated separately for the non-adaptive and adaptive version of the trial, allowing paired comparisons. Interviews with 10 CTU staff who had completed the costing exercise were conducted by qualitative researchers to explore reasons for similarities and differences. RESULTS Estimated resources associated with conducting an adaptive trial were always (moderately) higher than for the non-adaptive equivalent. The median increase was between 2 and 4% for all scenarios, except for sample size re-estimation which was 26.5% (as the adaptive design could lead to a lengthened study period). The highest increase was for statistical staff, with lower increases for data management and trial management staff. The percentage increase in resources varied across different CTUs. The interviews identified possible explanations for differences, including (1) experience in adaptive trials, (2) the complexity of the non-adaptive and adaptive design, and (3) the extent of non-trial specific core infrastructure funding the CTU had. CONCLUSIONS This work sheds light on additional resources required to adequately support a high-quality adaptive trial. The percentage increase in costs for supporting an adaptive trial was generally modest and should not be a barrier to adaptive designs being cost-effective to use in practice. Informed by the results of this research, guidance for investigators and funders will be developed on appropriately resourcing adaptive trials.
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Affiliation(s)
- Nina Wilson
- Population Health Sciences Institute, Newcastle University, Baddiley-Clark Building, Richardson Road, Newcastle upon Tyne, NE2 4AX, UK
| | - Katie Biggs
- School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Sarah Bowden
- Cancer Research UK Clinical Trials Unit (CRCTU), University of Birmingham, Birmingham, UK
| | - Julia Brown
- Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK
| | - Munyaradzi Dimairo
- School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Laura Flight
- School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Jamie Hall
- School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Anna Hockaday
- Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK
| | - Thomas Jaki
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
- Department of Mathematics and Statistics, Lancaster University, Lancaster, UK
| | - Rachel Lowe
- Centre for Trials Research, Cardiff University, Cardiff, UK
| | - Caroline Murphy
- King's College Trials Unit, King's College London, London, UK
| | | | - Mark A Pilling
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Claire Snowdon
- The Institute of Cancer Research Clinical Trials & Statistics Unit, London, UK
| | | | - Sofía S Villar
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
| | - Christopher J Weir
- Edinburgh Clinical Trials Unit, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Jessica Welburn
- School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Christina Yap
- The Institute of Cancer Research Clinical Trials & Statistics Unit, London, UK
| | - Rebecca Maier
- Population Health Sciences Institute, Newcastle University, Baddiley-Clark Building, Richardson Road, Newcastle upon Tyne, NE2 4AX, UK
- Newcastle Clinical Trials Unit, Newcastle University, Newcastle upon Tyne, UK
| | - Helen Hancock
- Population Health Sciences Institute, Newcastle University, Baddiley-Clark Building, Richardson Road, Newcastle upon Tyne, NE2 4AX, UK
- Newcastle Clinical Trials Unit, Newcastle University, Newcastle upon Tyne, UK
| | - James M S Wason
- Population Health Sciences Institute, Newcastle University, Baddiley-Clark Building, Richardson Road, Newcastle upon Tyne, NE2 4AX, UK.
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Abstract
Leaf-tying caterpillars act as ecosystem engineers by building shelters between overlapping leaves, which are inhabited by other arthropods. Leaf-tiers have been observed to leave their ties and create new shelters (and thus additional microhabitats), but the ecological factors affecting shelter fidelity are poorly known. For this study, we explored the effects of resource limitation and occupant density on shelter fidelity and assessed the consequences of shelter abandonment. We first quantified the area of leaf material required for a caterpillar to fully develop for two of the most common leaf-tiers that feed on white oak, Quercus alba. On average, Psilocorsis spp. caterpillars consumed 21.65 ± 0.67 cm2 leaf material to complete development. We also measured the area of natural leaf ties found in a Maryland forest, to determine the distribution of resources available to caterpillars in situ. Of 158 natural leaf ties examined, 47% were too small to sustain an average Psilocorsis spp. caterpillar for the entirety of its development. We also manipulated caterpillar densities within experimental ties on potted trees to determine the effects of cohabitants on the likelihood of a caterpillar to leave its tie. We placed 1, 2, or 4 caterpillars in ties of a standard size and monitored the caterpillars twice daily to track their movement. In ties with more than one occupant, caterpillars showed a significantly greater propensity to leave their tie, and left sooner and at a faster rate than those in ties as single occupants. To understand the consequences of leaf tie abandonment, we observed caterpillars searching a tree for a site to build a shelter in the field. This is a risky behavior, as 17% of the caterpillars observed died while searching for a shelter site. Caterpillars that successfully built a shelter traveled 110 ± 20 cm and took 28 ± 7 min to find a suitable site to build a shelter. In conclusion, leaf-tying caterpillars must frequently abandon their leaf tie due to food limitation and interactions with other caterpillars, but this is a costly behavior.
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Affiliation(s)
- Michelle Sliwinski
- Department of Biological Sciences, George Washington University , Washington, DC , USA
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