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      Assessment of the application of the FA280—a fully automated fecal analyzer for diagnosing clonorchiasis: a mixed-method study

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          Abstract

          Background

          Clonorchiasis is an important foodborne parasitic disease in China caused by Clonorchis sinensis. Accurate and rapid diagnosis of this disease is vital for treatment and control. Traditional fecal examination methods, such as the Kato-Katz (KK) method, are labor-intensive, time-consuming, and have limited acceptance. The FA280, an advanced automated fecal analyzer, increases efficiency while significantly reducing labor load. This study aims to evaluate its performance, applicability, and scalability in clonorchiasis diagnosis to explore its potential application in the future.

          Methods

          A mixed-methods study integrating both quantitative and qualitative approaches was conducted. The quantitative component consisted of a cross-sectional survey in Xinhui District, Guangdong, China, to evaluate the diagnostic performance of the FA280. The positive rate and agreement between the FA280 and the KK method were evaluated using McNemar’s test. Additionally, Pearson’s Chi-square test was used to analyze the consistency of positive results between the two methods across various eggs per gram (EPG) groups under different cut-off values. The qualitative component included semi-structured individual interviews with medical staff and institutional administrators to examine the FA280’s applicability and potential for broader adoption, with thematic analysis of the data.

          Results

          In the quantitative study of 1000 participants, both the FA280 and KK methods detected clonorchiasis with a positive rate of 10.0%, achieving 96.8% agreement and showing no significant difference ( P > 0.999). The kappa value was 0.82 (95% confidence interval: 0.76–0.88), indicating a strong agreement between the methods. The agreement rate for positive results between the two methods was significantly higher in the high infection intensity group compared to the low infection intensity group ( P < 0.05). The qualitative study, which involved interviews with three medical staff and two administrators revealed that the FA280 outperformed the KK method in testing procedures, detection results, and user acceptance. The benefits, challenges, and suggestions of FA280 promotion were also emphasized.

          Conclusions

          This study demonstrated the FA280’s application value in clonorchiasis diagnosis by assessing its detection performance, applicability, and scalability. These findings contribute to the future prevention and control of the disease.

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          Supplementary Information

          The online version contains supplementary material available at 10.1186/s40249-024-01271-8.

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          Using thematic analysis in psychology

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            Interrater reliability: the kappa statistic

            The kappa statistic is frequently used to test interrater reliability. The importance of rater reliability lies in the fact that it represents the extent to which the data collected in the study are correct representations of the variables measured. Measurement of the extent to which data collectors (raters) assign the same score to the same variable is called interrater reliability. While there have been a variety of methods to measure interrater reliability, traditionally it was measured as percent agreement, calculated as the number of agreement scores divided by the total number of scores. In 1960, Jacob Cohen critiqued use of percent agreement due to its inability to account for chance agreement. He introduced the Cohen’s kappa, developed to account for the possibility that raters actually guess on at least some variables due to uncertainty. Like most correlation statistics, the kappa can range from −1 to +1. While the kappa is one of the most commonly used statistics to test interrater reliability, it has limitations. Judgments about what level of kappa should be acceptable for health research are questioned. Cohen’s suggested interpretation may be too lenient for health related studies because it implies that a score as low as 0.41 might be acceptable. Kappa and percent agreement are compared, and levels for both kappa and percent agreement that should be demanded in healthcare studies are suggested.
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              Saturation in qualitative research: exploring its conceptualization and operationalization

              Saturation has attained widespread acceptance as a methodological principle in qualitative research. It is commonly taken to indicate that, on the basis of the data that have been collected or analysed hitherto, further data collection and/or analysis are unnecessary. However, there appears to be uncertainty as to how saturation should be conceptualized, and inconsistencies in its use. In this paper, we look to clarify the nature, purposes and uses of saturation, and in doing so add to theoretical debate on the role of saturation across different methodologies. We identify four distinct approaches to saturation, which differ in terms of the extent to which an inductive or a deductive logic is adopted, and the relative emphasis on data collection, data analysis, and theorizing. We explore the purposes saturation might serve in relation to these different approaches, and the implications for how and when saturation will be sought. In examining these issues, we highlight the uncertain logic underlying saturation—as essentially a predictive statement about the unobserved based on the observed, a judgement that, we argue, results in equivocation, and may in part explain the confusion surrounding its use. We conclude that saturation should be operationalized in a way that is consistent with the research question(s), and the theoretical position and analytic framework adopted, but also that there should be some limit to its scope, so as not to risk saturation losing its coherence and potency if its conceptualization and uses are stretched too widely.
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                Author and article information

                Contributors
                laiys3@mail.sysu.edu.cn
                Journal
                Infect Dis Poverty
                Infect Dis Poverty
                Infectious Diseases of Poverty
                BioMed Central (London )
                2095-5162
                2049-9957
                6 January 2025
                6 January 2025
                2025
                : 14
                : 1
                Affiliations
                [1 ]Department of Medical Statistics, School of Public Health, Sun Yat-sen University, ( https://ror.org/0064kty71) Guangzhou, Guangdong People’s Republic of China
                [2 ]Xinhui District Center for Disease Control and Prevention, ( https://ror.org/034jrey59) Jiangmen, Guangdong People’s Republic of China
                [3 ]Institute of Parasitic Diseases, Guangdong Provincial Center for Disease Control and Prevention, ( https://ror.org/04tms6279) Guangzhou, Guangdong People’s Republic of China
                [4 ]Sun Yat-sen Global Health Institute, Sun Yat-sen University, ( https://ror.org/0064kty71) Guangzhou, Guangdong People’s Republic of China
                [5 ]Health Information Research Center, Guangdong Key Laboratory of Medicine, School of Public Health, Sun Yat-sen University, ( https://ror.org/0064kty71) Guangzhou, Guangdong People’s Republic of China
                [6 ]Guangzhou Joint Research Center for Disease Surveillance, Early Warning and Risk Assessment, Guangzhou, Guangdong People’s Republic of China
                Author information
                http://orcid.org/0000-0003-4324-5465
                Article
                1271
                10.1186/s40249-024-01271-8
                11702166
                39757228
                540c06df-1f80-4428-8721-829e3a1e5384
                © The Author(s) 2025

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 22 September 2024
                : 29 December 2024
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003453, Natural Science Foundation of Guangdong Province;
                Award ID: 2022A1515010042
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 82073665
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention/Chinese Center for Tropical Diseases Research and BioMed Central Ltd. 2025

                fa280 fecal analyzer,application evaluation,clonorchis sinensis,diagnosis,mixed-method

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