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Ortiz DA, Loeffelholz MJ. Practical Challenges of Point-of-Care Testing. Clin Lab Med 2023; 43:155-165. [PMID: 37169439 DOI: 10.1016/j.cll.2023.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
The practical challenges of point-of-care testing (POCT) include analytical performance and quality compared with testing performed in a central laboratory and higher cost per test compared with laboratory-based tests. These challenges can be addressed with new test technology, consensus, and practice guidelines for the use of POCT, instituting a quality management system and data connectivity in the POCT setting, and studies that demonstrate evidence of clinical and economic value of POCT.
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Affiliation(s)
- Daniel A Ortiz
- Microbiology and Molecular Pathology, Department of Pathology, Oakland University William Beaumont School of Medicine, Beaumont Health, 3601 West 13 Mile Road, Royal Oak, MI 48073, USA
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da Rocha MA, dos Santos MM, Fontes RS, de Melo ASP, Cunha-Oliveira A, Miranda AE, de Oliveira CAP, Oliveira HG, Gusmão CMG, Lima TGFMS, Pinto R, Barros DMS, Valentim RADM. The Text Mining Technique Applied to the Analysis of Health Interventions to Combat Congenital Syphilis in Brazil: The Case of the "Syphilis No!" Project. Front Public Health 2022; 10:855680. [PMID: 35433567 PMCID: PMC9005801 DOI: 10.3389/fpubh.2022.855680] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Accepted: 02/04/2022] [Indexed: 11/13/2022] Open
Abstract
Congenital syphilis (CS) remains a threat to public health worldwide, especially in developing countries. To mitigate the impacts of the CS epidemic, the Brazilian government has developed a national intervention project called "Syphilis No." Thus, among its range of actions is the production of thousands of writings featuring the experiences of research and intervention supporters (RIS) of the project, called field researchers. In addition, this large volume of base data was subjected to analysis through data mining, which may contribute to better strategies for combating syphilis. Natural language processing is a form of knowledge extraction. First, the database extracted from the "LUES Platform" with 4,874 documents between 2018 and 2020 was employed. This was followed by text preprocessing, selecting texts referring to the field researchers' reports for analysis. Finally, for analyzing the documents, N-grams extraction (N = 2,3,4) was performed. The combination of the TF-IDF metric with the BoW algorithm was applied to assess terms' importance and frequency and text clustering. In total, 1019 field activity reports were mined. Word extraction from the text mining method set out the following guiding axioms from the bigrams: "confronting syphilis in primary health care;" "investigation committee for congenital syphilis in the territory;" "municipal plan for monitoring and investigating syphilis cases through health surveillance;" "women's healthcare networks for syphilis in pregnant;" "diagnosis and treatment with a focus on rapid testing." Text mining may serve public health research subjects when used in parallel with the conventional content analysis method. The computational method extracted intervention activities from field researchers, also providing inferences on how the strategies of the "Syphilis No" Project influenced the decrease in congenital syphilis cases in the territory.
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Affiliation(s)
- Marcella A. da Rocha
- Laboratory of Technological Innovation in Health, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Marquiony M. dos Santos
- Laboratory of Technological Innovation in Health, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Raphael S. Fontes
- Laboratory of Technological Innovation in Health, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Andréa S. P. de Melo
- Laboratory of Technological Innovation in Health, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Aliete Cunha-Oliveira
- Health Sciences Research Unit: Nursing (UICISA:E), Nursing School of Coimbra (ESEnfC), Coimbra, Portugal
| | - Angélica E. Miranda
- Postgraduate Program in Infectious Diseases, Federal University of Espírito Santo, Vitoria, Brazil
| | - Carlos A. P. de Oliveira
- Multidisciplinary Department of Human Development With Technologies, State University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Hugo Gonçalo Oliveira
- Centre for Informatics and Systems of the University of Coimbra, Department of Informatics Engineering, University of Coimbra, Coimbra, Portugal
| | - Cristine M. G. Gusmão
- Department of Biomedical Engineering, Federal University of Pernambuco (UFPE), Recife, Brazil
| | | | - Rafael Pinto
- Laboratory of Technological Innovation in Health, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Daniele M. S. Barros
- Laboratory of Technological Innovation in Health, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Ricardo A. de M. Valentim
- Laboratory of Technological Innovation in Health, Federal University of Rio Grande do Norte, Natal, Brazil
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