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Design and evaluation of a mobile application to assist the self-monitoring of the chronic kidney disease in developing countries.
Sobrinho, Alvaro; da Silva, Leandro Dias; Perkusich, Angelo; Pinheiro, Maria Eliete; Cunha, Paulo.
Afiliação
  • Sobrinho A; Federal Rural University of the Semiarid, Rodovia BR-226, Pau dos Ferros, 59900-000, Brazil. alvaro.sobrinho@ufersa.edu.br.
  • da Silva LD; Federal University of Alagoas, Av. Lourival Melo Mota, S/N Tabuleiro do Martins, Maceió, 57072-900, Brazil.
  • Perkusich A; Federal University of Campina Grande, R. Aprígio Veloso, 882, Universitário, Paraíba, 58429-900, Brazil.
  • Pinheiro ME; Federal University of Alagoas, Av. Lourival Melo Mota, S/N Tabuleiro do Martins, Maceió, 57072-900, Brazil.
  • Cunha P; Federal Institute of Alagoas, R. Prof. Domingos Correia, 1207, Ouro Preto, Alagoas, 57300-010, Brazil.
BMC Med Inform Decis Mak ; 18(1): 7, 2018 01 12.
Article em En | MEDLINE | ID: mdl-29329530
BACKGROUND: The chronic kidney disease (CKD) is a worldwide critical problem, especially in developing countries. CKD patients usually begin their treatment in advanced stages, which requires dialysis and kidney transplantation, and consequently, affects mortality rates. This issue is faced by a mobile health (mHealth) application (app) that aims to assist the early diagnosis and self-monitoring of the disease progression. METHODS: A user-centered design (UCD) approach involving health professionals (nurse and nephrologists) and target users guided the development process of the app between 2012 and 2016. In-depth interviews and prototyping were conducted along with healthcare professionals throughout the requirements elicitation process. Elicited requirements were translated into a native mHealth app targeting the Android platform. Afterward, the Cohen's Kappa coefficient statistics was applied to evaluate the agreement between the app and three nephrologists who analyzed test results collected from 60 medical records. Finally, eight users tested the app and were interviewed about usability and user perceptions. RESULTS: A mHealth app was designed to assist the CKD early diagnosis and self-monitoring considering quality attributes such as safety, effectiveness, and usability. A global Kappa value of 0.7119 showed a substantial degree of agreement between the app and three nephrologists. Results of face-to-face interviews with target users indicated a good user satisfaction. However, the task of CKD self-monitoring proved difficult because most of the users did not fully understand the meaning of specific biomarkers (e.g., creatinine). CONCLUSION: The UCD approach provided mechanisms to develop the app based on the real needs of users. Even with no perfect Kappa degree of agreement, results are satisfactory because it aims to refer patients to nephrologists in early stages, where they may confirm the CKD diagnosis.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Autocuidado / Telemedicina / Diagnóstico Precoce / Insuficiência Renal Crônica / Aplicativos Móveis Tipo de estudo: Diagnostic_studies / Evaluation_studies / Qualitative_research / Screening_studies Limite: Humans Idioma: En Revista: BMC Med Inform Decis Mak Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Brasil País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Autocuidado / Telemedicina / Diagnóstico Precoce / Insuficiência Renal Crônica / Aplicativos Móveis Tipo de estudo: Diagnostic_studies / Evaluation_studies / Qualitative_research / Screening_studies Limite: Humans Idioma: En Revista: BMC Med Inform Decis Mak Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Brasil País de publicação: Reino Unido