Validation of DataCIF 2.0: development and evaluation of a system based on the International Classification of Functioning, Disability and Health
DOI:
https://doi.org/10.11606/issn.2317-0190.v33e241041Keywords:
International Classification of Functioning, Disability and Health, Health Information Systems, Information Technology Management, Software Validation, Functional StatusAbstract
Objective: To validate the DataCIF 2.0 system based on the perception of experts on international classifications and health information systems, identifying requirements for the technological qualification of the tool. Method: Methodological study of technological development and cross-sectional approach, using quantitative and qualitative approaches. Ten expert judges, representing all geographic regions of Brazil, participated in semistructured interviews after exploring the system. The data were analyzed using Bardin's content analysis to explore the usability, limitations, and potential of the product. Results: The sample consisted mainly of PhDs (80%) with an average of one decade of experience in the scope of the ICF. The system was validated as usable, standing out as a tool to promote learning and operationalization of the biopsychosocial framework. Healthcare applicability was the most cited, reinforcing the need for technologies that overcome the taxonomic complexity of the classification. Requirements for improvement in interfaces and reports were raised to simplify the interpretation of functional data, in addition to the correction of operational errors to ensure the reliability of the system. Conclusion: The validation confirmed DataCIF 2.0 as a relevant technology for measuring human functionality. The study boosted the conceptual and technical maturity of the tool, reaching Technology Maturity Level 4 and enabling the future generation of the Functioning, Disability and Health Index.
Downloads
References
1. Castaneda L, Bergmann A, Bahia L. The International Classification of Functioning, Disability and Health: a systematic review of observational studies. Rev bras epidemiol. 2014;17(2):437-51. Doi: 10.1590/1809-4503201400020012ENG
2. Madden RH, Bundy A. The ICF has made a difference to functioning and disability measurement and statistics. Disabil Rehabil. 2019;41(12):1450-1462. Doi: 10.1080/09638288.2018.1431812
3. Araújo ES, Buchalla CM. Utilização da CIF em fisioterapia do trabalho: uma contribuição para coleta de dados sobre funcionalidade. Acta Fisiátr. 2013;20(1):1-7. Doi: 10.5935/0104-7795.20130001
4. Organização Mundial da Saúde. CIF: Classificação Internacional de Funcionalidade. São Paulo: EdUSP; 2003.
5. Ruaro JA, Ruaro MB, Souza DE, Fréz AR, Guerra RO. An overview and profile of the ICF's use in Brazil--a decade of history. Rev Bras Fisioter. 2012;16(6):454-62. Doi: 10.1590/s1413-35552012005000063
6. Di Nubila HBV, Buchalla CM. O papel das Classificações da OMS - CID e CIF nas definições de deficiência e incapacidade. Rev Bras Epidemiol. 2008;11(2):324–35. Doi: 10.1590/S1415-790X2008000200014
7. Stucki G, Bickenbach J. Functioning: the third health indicator in the health system and the key indicator for rehabilitation. Eur J Phys Rehabil Med. 2017;53(1):134-138. Doi: 10.23736/S1973-9087.17.04565-8
8. Sabino GS, Coelho CM, Sampaio RF. Utilização da Classificação Internacional de Funcionalidade, Incapacidade e Saúde na avaliação fisioterapêutica de indivíduos com problemas musculoesqueléticos nos membros inferiores e região lombar. Acta Fisiátr. 2008;15(1):24-30. Doi: 10.11606/issn.2317-0190.v15i1a102901
9. Kostanjsek N. Use of The International Classification of Functioning, Disability and Health (ICF) as a conceptual framework and common language for disability statistics and health information systems. BMC Public Health. 2011;11(Suppl 4):S3. Doi: 10.1186/1471-2458-11-S4-S3
10. Correia LO, Padilha BM, Vasconcelos SM. Methods for assessing the completeness of data in health information systems in Brazil: a systematic review. Cien Saude Colet. 2014;19(11):4467-78. Doi: 10.1590/1413- 812320141911.02822013
11. Lima AC, Januário MC, Lima PT, Silva WM. DATASUS: o uso dos Sistemas de Informação na Saúde Pública. REFAS. 2015;1(3):16-31.
12. Bickenbach J, Rubinelli S, Baffone C, Stucki G. The human functioning revolution: implications for health systems and sciences. Front Sci. 2023;1:1118512. Doi: 10.3389/fsci.2023.1118512
13. Sampaio RF, Luz MT. Funcionalidade e incapacidade humana: explorando o escopo da classificação internacional da Organização Mundial da Saúde. Cad Saúde Pública. 2009;25(3):475–83. Doi: 10.1590/S0102-311X2009000300002
14. Martins EF, Sousa PH, Barbosa PH, Menezes LT, Costa AS. A Brazilian experience to describe functioning and disability profiles provided by combined use of ICD and ICF in chronic stroke patients at home-care. Disabil Rehabil. 2011;33(21-22):2064-74. Doi: 10.3109/09638288.2011.560332
15. Barbosa PHFA, Freitas CA, Pereira TV, Silva ECF, Palmeira AS, Martins EF. Regionalização do processo de validação nacional do DataCIF 2.0. J Health Inform. 2021;12(Supl 1):260-6. 16. Barbosa PHFDA. Prontidão tecnológica e validação do DataCIF versão 2.0: um sistema de informação baseado na Classificação Internacional de Funcionalidade, Incapacidade e Saúde [Tese]. Brasília: Universidade de Brasília; 2020
17. Ferreira EA, Duarte M, Maldonado EP, Burke TN, Marques AP. Postural assessment software (PAS/SAPO): Validation and reliabiliy. Clinics (Sao Paulo). 2010;65(7):675-81. Doi: 10.1590/S1807-59322010000700005
18. Goto T, Hara K, Hashimoto K, Soeno S, Shirakawa T, Sonoo T, et al. Validation of chief complaints, medical history, medications, and physician diagnoses structured with an integrated emergency department information system in Japan: the Next Stage ER system. Acute Med Surg. 2020;7(1):e554. Doi: 10.1002/ams2.554
19. Calba C, Goutard FL, Hoinville L, Hendrikx P, Lindberg A, Saegerman C, et al. Surveillance systems evaluation: a systematic review of the existing approaches. BMC Public Health. 2015;15:448. Doi: 10.1186/s12889-015-1791-5
20. Hyppönen H, Kaipio J, Heponiemi T, Lääveri T, Aalto AM, Vänskä J, et al. Developing the National Usability-Focused Health Information System Scale for Physicians: Validation Study. J Med Internet Res. 2019;21(5):e12875. Doi: 10.2196/12875
21. Alencar ACB, Bosi LBM, Castro SS, Cardoso KVV. Desenvolvimento e usabilidade de um aplicativo para vinculação com a Classificação Internacional de Funcionalidade, Incapaci- dade e Saúde. J Health Inform. 2024;16(1). Doi: 10.59681/2175-4411.v16.2024.1123
22. Melo SM. Inspeção de software. São Carlos: Universidadede São Paulo; 2009.
23. Gondim SMG, Bendassolli PF. Uma crítica da utilização da análise de conteúdo qualitativa em psicologia. Psicol Estud. 2014;19(2):191–9. Doi: 10.1590/1413-737220530002
24. Jesus JB, Dias AAL, Figueiredo RM. Specific precautions: experiences of hospitalized patients. Rev Bras Enferm. 2019;72(4):874-879. Doi: 10.1590/0034-7167-2017-0888
25. German RR, Lee LM, Horan JM, Milstein RL, Pertowski CA, Waller MN, et al. Updated guidelines for evaluating public health surveillance systems: recommendations from the Guidelines Working Group. MMWR Recomm Rep. 2001;50(RR-13):1-35.
26. Ferreira SMG. Sistema de Informação em Saúde: conceitos fundamentais e organização. Belo Horizonte: UFMG; 1999.
27. Dias RDM, Freire SM. Conceitos demográficos e suas representações nos sistemas de informação em saúde. Cad Saúde Coletiva (UFRJ).2010;18(1):167-77.
28. Lima CR, Schramm JM, Coeli CM, Silva ME. Revisão das dimensões de qualidade dos dados e métodos aplicados na avaliação dos sistemas de informação em saúde. Cad Saude Publica. 2009;25(10):2095-109. Doi: 10.1590/s0102-311x2009001000002
29. Teles LM, Oliveira AS, Campos FC, Lima TM, Costa CC, Gomes LF, et al. Construção e validação de manual educativo para acompanhes durante o trabalho de parto e parto. Rev Esc Enferm USP. 2014;48(6):977-84. Doi: 10.1590/S0080-623420140000700003
30. Belei RA, Gimeniz-Paschoal SR, Nascimento EN, Matsumono PHVR. O uso de entrevista, observação e videogravação em pesquisa qualitativa. Caduc. 2008;(30):187-199. Doi: 10.15210/caduc.vi30.1770
31. Bardin L. Análise de conteúdo. Lisboa: Ediçoes 70, 1977.
32. Vaishnav AS, McAnany SJ, Iyer S, Albert TJ, Gang CH, Qureshi SA. Psychometric Evaluation of Patient-reported Outcomes Measurement Information System Physical Function Computer Adaptive Testing in Minimally Invasive Lumbar Spine Surgery: An Analysis of Responsiveness, Coverage, Discriminant Validity, and Concurrent Validity. J Am Acad Orthop Surg. 2020;28(17):717-729. Doi: 10.5435/JAAOS-D-19-00306
33. Westmoreland K, Reeve BB, Amuquandoh A, van der Gronde T, Manthalu O, Correia H, et al. Translation, psychometric validation, and baseline results of the Patient-Reported Outcomes Measurement Information System (PROMIS) pediatric measures to assess health-related quality of life of patients with pediatric lymphoma in Malawi. Pediatr Blood Cancer. 2018;65(11):e27353. Doi: 10.1002/pbc.27353
34. Sayeed R, Gottlieb D, Mandl KD. SMART Markers: collecting patient-generated health data as a standardized property of health information technology. NPJ Digit Med. 2020;3:9. Doi: 10.1038/s41746-020-0218-6
35. Martins EF, Sousa PH, Barbosa PH, Menezes LT, Costa AS. A Brazilian experience to describe functioning and disability profiles provided by combined use of ICD and ICF in chronic stroke patients at home-care. Disabil Rehabil. 2011;33(21-22):2064-74. Doi: 10.3109/09638288.2011.560332
36. Prodinger B, Stucki G, Coenen M, Tennant A. The measurement of functioning using the International Classification of Functioning, Disability and Health: comparing qualifier ratings with existing health status instruments. Disabil Rehabil. 2019;41(5):541-548. Doi: 10.1080/09638288.2017.1381186
37. Cieza A, Fayed N, Bickenbach J, Prodinger B. Refinements of the ICF Linking Rules to strengthen their potential for establishing comparability of health information. Disabil Rehabil. 2019;41(5):574-583. Doi: 10.3109/09638288.2016.1145258
38. Dantas DS, Correa AP, Buchalla CM, Castro SS, Castaneda L. Biopsychosocial model in health care: reflections in the production of functioning and disability data. Fisioter mov. 2020;33:e003321. Doi: 10.1590/1980-5918.033.AO21
39. Cieza A, Hilfiker R, Chatterji S, Kostanjsek N, Ustün BT, Stucki G. The International Classification of Functioning, Disability, and Health could be used to measure functioning. J Clin Epidemiol. 2009;62(9):899-911. Doi: 10.1016/j.jclinepi.2009.01.019
40. Dutra FC, Mancini MC, Neves JA, Kirkwood RN, Sampaio RF. Empirical analysis of the International Classification of Functioning, Disability and Health (ICF) using structural equation modeling. Braz J Phys Ther. 2016;20(5):384-394. Doi: 10.1590/bjpt-rbf.2014.0168
41. Bhat K, Easwarathasan R, Jacob M, Poole W, Sapaetharan V, Sidhu M, et al. Identifying and understanding the factors that influence the functioning of integrated healthcare systems in the NHS: a systematic literature review. BMJ Open. 2022;12(4):e049296. Doi: 10.1136/bmjopen-2021-049296
42. Reeves S, Pelone F, Harrison R, Goldman J, Zwarenstein M. Interprofessional collaboration to improve professional practice and healthcare outcomes. Cochrane Database Syst Rev. 2017;6(6):CD000072. Doi: 10.1002/14651858.CD000072.pub3
43. Barreto MCA, Camerino CMC, Leite CF, Castro SS. WHODAS as a strategy to enable the application of the biopsychosocial model in clinical settings: a systematic review. Fisioter Pesqui. 2025;32:e23014724en. Doi: 10.1590/1809-2950/e23014724en
44. Stucki G, Ewert T, Cieza A. Value and application of the ICF in rehabilitation medicine. Disabil Rehabil. 2002;24(17):932-8. Doi: 10.1080/09638280210148594
45. Cieza A, Stucki G. The International Classification of Functioning Disability and Health: its development process and content validity. Eur J Phys Rehabil Med. 2008;44(3):303-13
46. Brunoro CM, Bolis I, Sigahi TFAC, Kawasaki BC, Sznelwar LI. Defining the meaning of "sustainable work" from activitycentered ergonomics and psychodynamics of Work's perspectives. Appl Ergon. 2020;89:103209. Doi: 10.1016/j.apergo.2020.103209
47. Ballert CS, Hopfe M, Kus S, Mader L, Prodinger B. Using the refined ICF Linking Rules to compare the content of existing instruments and assessments: a systematic review and ex- emplary analysis of instruments measuring participation. Disabil Rehabil. 2019;41(5):584-600. Doi: 10.1080/09638288.2016.1198433
48. Castaneda L. O Cuidado em Saúde e o Modelo Biopsicossocial: apreender para agir. CoDAS. 2019;31(5):e20180312. Doi: 10.1590/2317-1782/20192018312
49. Castaneda L. International Classification of Functioning,Disability and Health (ICF) – way to Health Promotion. Rev Bras Cineantropom Desempenho Hum. 2018;20(2):229–33. Doi: 10.5007/1980-0037.2018v20n2p229
50. Cintho LM, Machado RR, Moro CMC. Métodos para Avaliação de Sistema de Informação em Saúde. J Health Inform. 2016;8(2):41-48.
51. Morais RM, Costa AL. Um modelo para avaliação de sistemas de informação do SUS de abrangência nacional: o processo de seleção e estruturação de indicadores. Rev Adm Pública. 2014;48(3):767–93. Doi: 10.1590/0034-76121512
52. Zuluaga JAF, Escobar JF, Martínez GAG, D’Aleman JC, Vallejo AO. Model for measuring technological maturity for critical sector industries. JOItmC. 2024;10(1). Doi: 10.1016/j.joitmc.2023.100194
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Acta Fisiátrica

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
O conteúdo do periódico está licenciado sob uma Licença Creative Commons BY-NC-SA. Esta licença permite que outros remixem, adaptem e criem a partir do seu trabalho para fins não comerciais, desde que atribuam ao autor o devido crédito e que licenciem as novas criações sob termos idênticos.
How to Cite
Funding data
-
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Grant numbers 473816/2010-5, 310056/2011-0, 310056/2011-0, 442260/2014-8 -
Fundação de Apoio à Pesquisa do Distrito Federal
Grant numbers 193.000.639/2015 -
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Grant numbers 88881.068134/2014-01 -
Ministério da Ciência, Tecnologia e Inovação
Grant numbers Edital SECIS 2011








