Information system for assessing and monitoring patients with fibromyalgia syndrome – multidisciplinary approach.
Camargo, Rachel Schettert de; Moser, Auristela Duarte; Bastos, Laudelino Cordeiro; Moro, Claudia Maria Cabral
Abstract
Introduction: Fibromyalgia Syndrome (FMS) is characterised by chronic widespread pain and tender points on palpation. FMS is associated with depression, anxiety, fatigue, sleep disorders, and functional bowel disorders that can intensify painful feelings, altering functional capacity and quality of life. The health provider usually identifies these conditions through assessment and monitoring tools and recordsthe results on paper. Failure to use electronic information systems, which have specific methodology for the integration of Health Information Systems, hampers the applicability of these methods in clinical practice and does not allow visualisation and comparison of the results in a simple manner. Objective: To propose an information system for assessing and monitoring patients with FMS (SISFIBRO). Method: The first phase consisted of data collection to select evaluation and monitoring methods used by doctors, physical therapists, rheumatologists, and specialists in fibromyalgia. Next, we performed the modelling of the system in the Unified Modelling Language (UML). Based on the diagram of classes, we performed conceptual data modelling with entity-relationship diagrams. The prototype was implemented with the SISFIBRO Oracle database. Below, we included data from 36 patients with FMS to analyse whether the system provided all of the information and necessary functions. Results: In Brazil, most of the professionals (82.4%) record and store patient data on paper charts, and 17.6% do so using electronic systems. The most widely used instruments and methods arethe visual analogue scale (VAS) SF-36, theFibromyalgia Impact Questionnaire (FIQ), evaluation of tender points according to the American College of Rheumatology (ACR), and the Beck Depression Scale; all are available in SISFIBRO. We developed 1 diagram of use, 1 diagram of classes, 6 diagrams of objects, and 5 diagrams of sequences. We decided that SISFIBRO must be integrated with the Electronic Health Record (EHR) for the recording, storing, sharing, and retrieving of the information. This integration will assist in the clinical practice of health professionals. Conclusion: It was possible to create a system with the reliability needed to support and improve the assessment and treatment of FMS.
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References
1. Marques AP, Assumpção A, Matsutani LA. Fibromialgia e fisioterapia: avaliação e tratamento. São Paulo: Manole, 2007.
2. Wolfe F, Smythe HA, Yunus MB, Bennett RM, Bombardier C, Goldenberg DL, et al. The American College of Rheumatology: criteria for the classification of fibromyalgia.ArthritisandRheumatism. 1990 Feb;33(2):160-172.
3. Buyl R, Nyssen M. Structured electronic physiotherapy records. International Journalof Medical Informatics. 2009;78:473-481.
4. Nichiata LYI, Takahashi RF, Fracolli LA, Gryschek ALFPL. Relato de uma experiência de ensino de enfermagem em saúde coletiva: a informática no ensino de vigilância epidemiológica. Revista da Escola de Enfermagem da Universidade de São Paulo. 2003;37(3):36-43.
5. Camargo RS, Bastos LC, Moser ADL. Abordagem dos métodos avaliativos em fibromialgia e dor crônica aplicada à tecnologia da informação: revisão de literatura em periódicos, entre 1998 à 2008. Revista Brasileira de Reumatologia. 2009;49(4):431-446.
6. Date CJ. Introdução a sistemas de bancos de dados. 7.ª edição. Rio de Janeiro: Campus, 2000.
7. Soares SPM. Dominando ERwin: modelagem de dados para bancos Oracle. Rio de Janeiro: Ciência Moderna, 2003.
8. Booch G,Rumbaugh J, Jacobson I. UML: um guia para o usuário. 2.ª edição. Rio de Janeiro: Campus, 2005.
9. Elmasri R,Navathe S. Sistemas de bancos de dados. 4.ª edição. São Paulo: Pearson, 2005.
10. Borges HL, Malucelli A, Paraiso EC, Moro CMC. A physiotherapy EHR specification based on a user-centered approach in the context of public health.AMIA AnnuSymp Proc. 2007 Oct;11:61-5.
11. Deutscher D, Hart DL, Dickstein R, Horn SD, Gutvirtz M. Implementing an integrated electronic outcomes an electronic health record process to create a foundation for clinical practice improvement. PhysicalTherapy.2008 Feb;88(2):270-285.
12. Zhang J. Human-centered computing in health information systems: analysis and design. Journal of Biomedical Informatics. 2005;38:1-3.
13. Lupiáñez-Villanueva F, Hardey M, Torrent J, Ficapal P. The integration of Information and Communication Technology into medical practice. International Journal of Medical Informatics. 2010 July;79(7):478-491.
14. Cappelleri JC, Bushmakin AG, McDermott AM, Sadosky AB, Petrie CD, Martin S. Psychometric properties of a single-item scale to assess sleep quality among individuals with fibromyalgia. Health and Quality of Life Outcomes. 2009 Jun;7(4):1-7.
15. Silveira DT, Marin HF. Conjunto de dados mínimos de enfermagem: construindo um modeloemsaúdeocupacional. Acta Paulista de Enfermagem. 2006;19(2):218-227.
16. Carvalho DR, Moser ADL, Veronica AS. Protótipo de um Sistema Especialista aplicado a Terapia Manual. Revista Terapia Manual. 2012;10(50):148-156.
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