Behavioral intention to use the Citizen's Electronic Medical Record in Primary Health Care

Authors

Keywords:

electronic health records, information technology, health information systems, primary health care, national health strategies.

Abstract

To analyze the behavioral intention of using the Electronic Citizen Record of the e-SUS strategy for Primary Health Care, from the perspective of professionals working in family health and oral health teams. Cross-sectional study carried out in Minas Gerais, Brazil, using the Unified Theory of Acceptance and Use of Technology. 139 professionals from family health and oral health teams participated. To test the research model, partial least squares structural equation modeling was applied, and the extracted mean variance, composite reliability and Cronbach's alpha validated the model. The software was well accepted by users. The analysis of the relationship between the constructs identified significance between habit and behavioral intention of use (p = 0.000) and the moderators that influenced the habit construct were age and experience. Significant associations were also observed between experience and expected effort (p = 0.007), age and expected performance (p = 0.018) and gender and expected effort (p = 0.000). The influence of the habit construct on the behavioral intention to use the software was highlighted, since it is relevant to the continued use of a technology. The increase in the number of APS teams that use PEC in their work routine, the perception of professionals that they are qualified and prepared to operate the system, and the interest shown in continuing to use the software in the future, were notable developments in the which concerns the computerization of Primary Health Care in the analyzed region.

References

Brasil. Ministério da Saúde. Estratégia de Saúde Digital para o Brasil – 2020-2028. Brasília: Ministério da Saúde; 2020 [acesso 20/01/2022]. Disponível em: https://bvsms.saude.gov.br/bvs/publicacoes/estrategia_saude_digital_Brasil.pdf

Brasil. Ministério da Saúde. e-SUS Atenção Primária ? Saúde (e-SUS APS)-Prontuário Eletrônico do Cidadão (PEC) v4.3-Manual de uso. Brasília: Ministério da Saúde; 2021 [acesso 20/01/2022]. Disponível em: https://cgiap-saps.github.io/Manual-eSUS-APS/docs/PEC

Macedo AS, Gontijo TL, Brito CJCJ, Sanhudo NF, Faria LR, Cavalcante RB. Implementation of an electronic medical record in light of the actor-network theory. Texto Context – Enferm. 2021;30:e20200123. DOI: https://doi.org/10.1590/1980-265X-TCE-2020-0123

Silva TIM, Cavalcante RB, Santos RC, Gontijo TL, Guimarães EAA, Oliveira VC. Diffusion of the e-SUS Primary Care innovation in Family Health Teams. Rev Bras Enferm. 2018;71(6):2945-52. DOI: https://doi.org/10.1590/0034-7167-2018-0053.

Pires MCA, Gontijo TL, Quites HFO, Machado RM, Bonomo LF, Brito CJCJ, et al. Cartografando controvérsias na implantação da estratégia e-sus atenção básica a Saúde em Minas Gerais. Rev Cuba Inf En Ciencias La Salud. 2021 [acesso 20/01/2022];32(12):1654. Disponível em: http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S2307-21132021000200006&lng=es

Zacharias FCM, Schönholzer TE, Oliveira VC, Gaete RAC, Perez G, Fabriz LA, et al. e-SUS Atenção Primária: atributos determinantes para adoção e uso de uma inovação tecnológica. Cad Saude Publica. 2021;37(6):e00219520. DOI: https://doi.org/10.1590/0102-311X00219520

Cucciniello M, Lapsley I, Nasi G, Pagliari C. Understanding key factors affecting electronic medical record implementation: A sociotechnical approach. BMC Health Serv Res. 2015;15(1):1-19. DOI: https://doi.org/10.1186/s12913-015-0928-7

Guimarães EADA, Morato YC, Carvalho DBF, Oliveira VC, Pivatti VMS, Cavalcante RB, et al. Evaluation of the Usability of the Immunization Information System in Brazil: A Mixed-Method Study. Telemed e-Health. 2021;27(5):551-60. DOI: https://doi.org/10.1089/tmj.2020.0077

Venkatesh V, Thong JYL, Xu X. Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Q Manag Inf Syst. 2012;36(1):157-78. DOI: https://doi.org/10.2307/41410412.

Pan M, Gao W. Determinants of the behavioral intention to use a mobile nursing application by nurses in China. BMC Health Serv Res. 2021;21(1):228. DOI: https://doi.org/10.1186/s12913-021-06244-3

Nishi JM. A (re) construção do modelo UTAUT 2 em contexto brasileiro [Tese de doutorado]. Universidade Federal de Santa Maria. 2017 [acesso 20/01/2022]. Disponível em: https://repositorio.ufsm.br/handle/1/13577

Instituto Brasileiro de Geografia e Estatística. Cidades e Estados - Minas Gerais. Rio de Janeiro: IBGE. 2021 [acesso 20/01/2022]. Disponível em: https://cidades.ibge.gov.br/brasil/mg/panorama

Brasil. Ministério da Saúde. Painéis de Indicadores da Atenção Primária. Brasília: Ministério da Saúde. 2022 [acesso 20/01/2022]. Disponível em: https://sisaps.saude.gov.br/painelsaps/

Hair Jr. JF, Black WC, Babin BJ, Anderson RE, Tatham RL. Análise multivariada de dados. 6th ed. Porto Alegre: Bookman; 2009.

Ratwani R, Fairbanks T, Savage E, Adams K, Wittie M, Boone E, et al. Mind the Gap. A systematic review to identify usability and safety challenges and practices during electronic health record implementation. Appl Clin Inform. 2016;7(4):1069–87. DOI: 10.4338/ACI-2016-06-R-0105.

Amorim LDAF, Oliveira SB, Bahamonde NMSG, Oliveira NF, Moraes LTLP. Análise fatorial confirmatória e modelos com equações estruturais: um tutorial usando software estatístico. Salvador: UFBA. 2013 [acesso 20/01/2022]. Disponível em: https://repositorio.ufba.br/handle/ri/17685.

Nascimento JCHB, Macedo MAS. Modelagem de Equações Estruturais com Mínimos Quadrados Parciais: um Exemplo daAplicação do SmartPLS® em Pesquisas em Contabilidade. Rev Educ Pesqui Em Contab. 2016;10(3). DOI: https://doi.org/10.17524/repec.v10i3.1376.

Benitez J, Henseler J, Castillo A, Schuberth F. How to perform and report an impactful analysis using partial least squares: Guidelines for Confirmatory and Explanatory IS Research. Inf Manag 2020;57(2):103168. DOI: https://doi.org/10.1016/j.im.2019.05.003

Cavalcante RB, Vasconcelos DD, Gontijo TL, Guimarães EA de A, Machado RM, Oliveira VC. Informatização da Atenção Básica ? Saúde: avanços e desafios. Cogitare enferm. 2018 [acesso 20/01/2022];23(3):e54297. Disponível em: http://www.revenf.bvs.br/scielo.php?script=sci_arttext&pid=S1414-85362018000300309&lng=pt&nrm=iso

Martins NLM, Duarte P, Pinho JCMR. An analysis of determinants of the adoption of Mobile Health (mHealth). Rev Adm Empres. 2021;61(4):1-17. DOI: https://doi.org/10.1590/s0034-759020210403x.

Kim SS, Malhotra NK. A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Post-Adoption Phenomena. Gerenciar Sci 2005;51(5):741-55. DOI: https://doi.org/10.1287/mnsc.1040.0326

Avila GS, Cavalcante RB, Almeida NG, Gontijo TL, Barbosa SS, Brito MJM. Diffusion of the electronic citizen’s record in family health teams. Rev Min Enferm. 2021;25:e1397. DOI: http://dx.doi.org/10.5935/1415.2762.20210045.

Ravangard R, Kazemi Z, Zaker Abbasali S, Sharifian R, Monem H. Development of the UTAUT2 model to measure acceptance of medical laboratory portals by patients in Shiraz. Electronic physician. 2017;9(2):3862-9. DOI: https://doi.org/10.19082/3862

Yuan S, Ma W, Kanthawala S, Peng W. Keep Using My Health Apps: Discover Users’ Perception of Health and Fitness Apps with the UTAUT2 Model. Telemed J E Health. 2015;21(9):735-41. DOI: https://doi.org/10.1089/tmj.2014.0148

Tavares J, Goulão A, Oliveira T. Adoção de Portais de Prontuário Eletrônico: Modelo empírico baseado no UTAUT2. Informe o Health Soc Care 2018;43(2):109-25. DOI: https://doi.org/10.1080/17538157.2017.1363759

Rogers E. Diffusion of Innovations. 5rd ed. New York: The Free Press; 2003.

Adenuga KI, Iahad NA, Miskon S. Para reforçar a adoção da telemedicina entre os médicos na Nigéria. Int J Med Informe 2017;104:84-96. DOI: https://doi.org/10.1016/j.ijmedinf.2017.05.008

Nunes A, Limpo T, Castro SL. Acceptance of mobile health applications: examining key determinants and moderators. Front Psychol 2019;10:2791. DOI: https://doi.org/10.3389/fpsyg.2019.02791

Dajani D, Abu Hegleh AS. Behavior intention of animation usage among university students. Heliyon. 2019;5(10):e02536. DOI: https://doi.org/10.1016/j.heliyon.2019.e02536.

Martins M, Farias JS, Albuquerque PHM, Pereira DS. Adoção de tecnologia para fins de leitura: um estudo sobre a aceitação de livros eletrônicos. Brazilian Business Review. 2018;15(6):568-88. DOI: https://doi.org/10.15728/bbr.2018.15.6.4

Suki NM, Suki NM. Determining students’ behavioral intention to use animation and storytelling applying the UTAUT model: The moderating roles of gender and experience level. Int J Manag Educ. 2017;15(3):528-38. DOI: https://doi.org/10.1016/j.ijme.2017.10.002

Silva TIM, Tavares TB, Pena BS, Santos RC, Alves M, Gontijo TL, et al. Divulgação do prontuário eletrônico: um estudo de caso em Minas Gerais. Saúde Coletiva (Barueri). 2022[acesso 20/01/2022];12(72):9394-407. Disponível em: https://ufsj.edu.br/portal2-repositorio/File/pgenf/Dissertacoes/2021/Dissertacao%20-%20Nayara%20Evangelista.pdf

Viola CG, Oliveira VC, Gaete RAC, Fabriz LA, Ferro D, Zacharias FCM, et al. Instrumento para avaliar o uso do prontuário eletrônico do cidadão da estratégia e-SUS Atenção Primária ? Saúde. Av Enfermería. 2021;39(2):157-66. DOI: https://doi.org/10.15446/av.enferm.v39n2.86216

Fennelly O, Cunningham C, Grogan L, Cronin H, O’Shea C, Roche M, et al. Successfully implementing a national electronic health record: a rapid umbrella review. Int J Med Inform. 2020;144:104281. DOI: https://doi.org/10.1016/j.ijmedinf.2020.104281

Gesulga JM, Berjame A, Moquiala KS, Galido A. Barriers to Electronic Health Record System Implementation and Information Systems Resources: A Structured Review. Procedia Comput Sci. 2017;124:544-51. DOI: https://doi.org/10.1016/j.procs.2017.12.188

O’Donnell A, Kaner E, Shaw C, Haighton C. Primary care physicians’ attitudes to the adoption of electronic medical records: a systematic review and evidence synthesis using the clinical adoption framework. BMC Med Inform Decis Mak. 2018;18(1):1-16. DOI: https://doi.org/10.1186/s12911-018-0703-x.

Timmins F. Surveys and questionnaires in nursing research. Nurs Stand. 2015;29(42):42-50. DOI: https://doi.org/10.7748/ns.29.42.42.e8904.

Cendón BV, Ribeiro NA, Chaves CJ. Pesquisas de survey: análise das reações dos respondentes. Informação & Sociedade. 2014 [acesso 20/01/2022];24(3). Disponível em: https://periodicos.ufpb.br/ojs/index.php/ies/article/view/19963.

Published

2024-11-19

How to Cite

1.
Evangelista N, Castro ALCM de, Gontijo TL, Carvalho DBF, Cavalcante RB, Silva MA, et al. Behavioral intention to use the Citizen’s Electronic Medical Record in Primary Health Care. Rev. cuba. inf. cienc. salud [Internet]. 2024 Nov. 19 [cited 2024 Dec. 25];35. Available from: https://acimed.sld.cu/index.php/acimed/article/view/2500

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