Renata Marques de Oliveira1, Alexandre Freitas Duarte2, Domingos Alves3, Antonia Regina Ferreira Furegato4. 1. Doctoral Student, Escola de Enfermagem de Ribeirão Preto, Universidade de São Paulo, PAHO/WHO Collaborating Centre for Nursing Research Development, Ribeirão Preto, SP, Brazil. 2. BSc in Biomedical Informatics, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brazil. 3. PhD, Assistant Professor, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP. Brazil. 4. PhD, Retired Full Professor, Escola de Enfermagem de Ribeirão Preto, Universidade de São Paulo, PAHO/WHO Collaborating Centre for Nursing Research Development, Ribeirão Preto, SP, Brazil.
Abstract
OBJECTIVE: to develop a mobile app for research on the use of tobacco among psychiatric patients and the general population. METHOD: applied research with the technological development of an app for data collection on an Android tablet. For its development, we considered three criteria: data security, benefits for participants and optimization of the time of researchers. We performed tests with twenty fictitious participants and a final test with six pilots. RESULTS: the app collects data, stores them in the database of the tablet and export then to an Excel spreadsheet. RESOURCES: calculator, stopwatch, offline operation, branching logic, field validation and automatic tabulation. CONCLUSION: the app prevents human error, increases the quality of the data by validating them during the interview, allows the performing of automatic tabulation and makes the interviews less tiring. Its success may encourage the use of this and other computational resources by nurses as a research tool.
OBJECTIVE: to develop a mobile app for research on the use of tobacco among psychiatricpatients and the general population. METHOD: applied research with the technological development of an app for data collection on an Android tablet. For its development, we considered three criteria: data security, benefits for participants and optimization of the time of researchers. We performed tests with twenty fictitious participants and a final test with six pilots. RESULTS: the app collects data, stores them in the database of the tablet and export then to an Excel spreadsheet. RESOURCES: calculator, stopwatch, offline operation, branching logic, field validation and automatic tabulation. CONCLUSION: the app prevents human error, increases the quality of the data by validating them during the interview, allows the performing of automatic tabulation and makes the interviews less tiring. Its success may encourage the use of this and other computational resources by nurses as a research tool.
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