Quality control applied to the recruitment process for HIV/AIDS research
Quality control applied to the recruitment process for HIV/AIDS research
Índice
Research on HIV/AIDS has fronts of highly complex projects. One of the challenging processes is recruiting new participants, requiring constant innovations and improvements due to the specifics of the target audience and the dynamics of the field of study. Strategies may not give direct results due to the methodology used, requiring an improvement in routines or the chosen innovation. This paper proposes to apply quality tools to identify relevant characteristics and efficient strategies to recruit patients of 15 to 19 years old that use the pre-exposure prophylaxis (PrEP) protection medication for HIV/AIDS virus. The diagrams created the entire recruitment flowchart and implemented a digital selection sheet to monitor the data, after completing the histogram, control chart, histogram, and dispersion charts (Cp=0,82, Cpk=0,30, Pp=0,84, Ppk=0,31). Due to the capacity of a graphical adjustment plan, it was possible to create a cause-and-effect diagram results a result of a continuous and audited adjustment action plan. Quality management improved decision-making on which strategies to use for certain scenarios, cost reduction, and increased performance in the number of recruits with greater access of young people to this HIV prevention technology.
Carlos Jefferson de Melo Santos holds a degree in Production Engineering and a master’s degree in industrial engineering from the Federal University of Bahia, Brazil, a postgraduate degree in Quality Engineering, Occupational Safety Engineering and extension in various topics related to the area of Quality Management. He is currently the administrative coordinator of the UNTAID-funded PrEP 1519 project.
Ângelo Márcio Oliveira Sant’Anna holds a degree in Statistics from the Federal University of Bahia (2003), a Master’s in Production Engineering from the Federal University of Rio Grande do Sul (2006) and a PhD in Production Engineering from the Federal University of Rio Grande do Sul (2009). He is currently an adjunct professor at the Federal University of Bahia, Department of Mechanical Engineering.
Inês Dourado holds a degree in medicine from the Bahia School of Medicine, a master’s degree in public health from the University of Massachusetts/United States of America (USA) and a PhD in epidemiology from the University of California at Los Angeles/USA. She is an associate professor IV of the permanent staff of the Graduate Program at the Instituto de Saúde Coletiva at the Federal University of Bahia, a researcher at CNPq and an adjunct professor at the School of Public Health at Brown University / USA.
Bhattacharyya, G.K.; Johnson, R.A. (1977). Statistical concepts and methods. New York: John Wiley & Sons, Inc.
Barsalou, M. (2017). Statistics spotlight: Revisiting the old seven. Quality Progress, 50(4), 42–45.
Borror, C. M. (Ed.). (2009). The Certified Quality Engineer Handbook (3rd ed.). ASQ, Quality Press.
Bothe, D. R. (1997). Measuring Process Capability – Techniques and Calculations for Quality and Manufacturing Engineers. McGraw-Hill.
Carpinetti, L. C. R. (2010). Gestão da Qualidade – Conceitos e Técnicas. São Paulo: Atlas.
Costa, A.F.B.; Epprecht, E. K.; Carpinetti, L. C.R. (2005). Controle Estatístico de Qualidade. 2. ed. São Paulo: Atlas, 334 p.
Falconi, V. (2019). O Verdadeiro Poder. Noiva Lima – INDG Tecnologia e Serviços LTDA
Serrat, O. (2009). Five whys technique. Asian Development Bank. Retrieved September 5 in https://vctreatment.arums.ac.ir/file/download/page/1564893813-five-whys-technique.pdf
Ishikawa, K. (1990). Introduction to quality control. California: 3A Corporation.
Schultz, J. R. (2006). “Measuring Service Industry Performance: Some Basic Concepts”. Performance Improvement. 45 (4): 3. doi:10.1002/pfi.2006.4930450405.
Juran, J. (2000) Juran’s quality handbook. New York: McGraw-Hill Professional, 5th ed.
Kardas, E. (2017). The Analysis of Non-Conformances of Products in Plate Mill Using Selected Quality Tools. In: 26th International Conference on Metallurgy and Materials (METAL 2017), Tanger, Ostrava. ISBN 978-80-87294-79-6
Maranhão, M (2001). ISO série 9000: Manual de implementação. 6. ed. Rio de Janeiro: Qualitymark.
Miguel, P.A.C. (2006). Qualidade: enfoques e ferramentas. 1 ed. São Paulo: Artliber.
Moreira, Daniel (1993). Administração da produção e operações. São Paulo, Pioneira
Montgomery, D.C. (2012). Statistical Quality Control, 7th Edition. Hoboken, NJ (USA): Wiley. ISBN: 978-1-118-14681-1.
Okes, D. (2002). Organize your quality tool belt. Quality Progress, 35(7), 25–29.
Pontes, H. L. J; (2005). Melhoria no sistema produtivo de uma fábrica de café: estudo de caso. In Simpósio de Engenharia de Produção, 12, Bauru. Anais. São Paulo: SIMPEP, 2005
Ribeiro, R. J. B.; Bliacheriene, A. C. (2013). Construindo o planejamento público: buscando a integração entre política, gestão e participação popular. São Paulo: Atlas.
Sachs, Ignacy. (2009) A Terceira Margem: em busca do ecodesenvolvimento. São Paulo: Companhia das Letras.
Spool, J. M. (2004). The K-J technique: A Group Process for Establishing Priorities. In User Interface Engineering. May 11.
Tague, N.R. (2004). The Quality Toolbox. Second Edition, American Society for Quality, Quality Press, Milwaukee, Wisconsin.
Toyota Group (2008). TQM Committee; QC Circle Subcommittee; QC Circle Leader´s Guidebook for Level Identification – How to get out of Zone D or C, Tokyo: JUSE Press Ltd.
Trivellato, A. A. (2010). Aplicação Das Sete Ferramentas Básicas da Qualidade no Ciclo PDCA Para Melhoria Contínua: Estudo de Caso numa Empresa de Autopeças. Escola de Engenharia de São Carlos, Universidade de São Paulo.
UNAIDS (2017). Joint United Nations Programme on HIV/AIDS (UNAIDS). Geneva, Switzerland
Werkema, M. C. C. (1995). Ferramentas Estatísticas Básicas para o Gerenciamento de Processos. v. 2. Fundação Christiano Ottoni. Escola de Engenharia da UFMG. Belo Horizonte, MG.
Healthcare, Strategy and Organizational Engineering, Quality Management
