Development of the TabacoQuest app for computerization of data collection on smoking in psychiatric nursing

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.

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Main Authors: Oliveira,Renata Marques de, Duarte,Alexandre Freitas, Alves,Domingos, Furegato,Antonia Regina Ferreira
Format: Digital revista
Language:English
Published: Escola de Enfermagem de Ribeirão Preto / Universidade de São Paulo 2016
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-11692016000100399
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spelling oai:scielo:S0104-116920160001003992016-08-29Development of the TabacoQuest app for computerization of data collection on smoking in psychiatric nursingOliveira,Renata Marques deDuarte,Alexandre FreitasAlves,DomingosFuregato,Antonia Regina Ferreira Software Nursing Informatics Mental Health Psychiatric Nursing 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.info:eu-repo/semantics/openAccessEscola de Enfermagem de Ribeirão Preto / Universidade de São PauloRevista Latino-Americana de Enfermagem v.24 20162016-01-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-11692016000100399en10.1590/1518-8345.0661.2726
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country Brasil
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region America del Sur
libraryname SciELO
language English
format Digital
author Oliveira,Renata Marques de
Duarte,Alexandre Freitas
Alves,Domingos
Furegato,Antonia Regina Ferreira
spellingShingle Oliveira,Renata Marques de
Duarte,Alexandre Freitas
Alves,Domingos
Furegato,Antonia Regina Ferreira
Development of the TabacoQuest app for computerization of data collection on smoking in psychiatric nursing
author_facet Oliveira,Renata Marques de
Duarte,Alexandre Freitas
Alves,Domingos
Furegato,Antonia Regina Ferreira
author_sort Oliveira,Renata Marques de
title Development of the TabacoQuest app for computerization of data collection on smoking in psychiatric nursing
title_short Development of the TabacoQuest app for computerization of data collection on smoking in psychiatric nursing
title_full Development of the TabacoQuest app for computerization of data collection on smoking in psychiatric nursing
title_fullStr Development of the TabacoQuest app for computerization of data collection on smoking in psychiatric nursing
title_full_unstemmed Development of the TabacoQuest app for computerization of data collection on smoking in psychiatric nursing
title_sort development of the tabacoquest app for computerization of data collection on smoking in psychiatric nursing
description 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.
publisher Escola de Enfermagem de Ribeirão Preto / Universidade de São Paulo
publishDate 2016
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-11692016000100399
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AT alvesdomingos developmentofthetabacoquestappforcomputerizationofdatacollectiononsmokinginpsychiatricnursing
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