2014
DOI: 10.2196/mhealth.3058
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Customized-Language Voice Survey on Mobile Devices for Text and Image Data Collection Among Ethnic Groups in Thailand: A Proof-of-Concept Study

Abstract: BackgroundPublic health surveys are often conducted using paper-based questionnaires. However, many problems are associated with this method, especially when collecting data among ethnic groups who speak a different language from the survey interviewer. The process can be time-consuming and there is the risk of missing important data due to incomplete surveys.ObjectiveThis study was conducted as a proof-of-concept to develop a new electronic tool for data collection, and compare it with standard paper-based qu… Show more

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Cited by 8 publications
(11 citation statements)
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“…EMA has been successfully piloted in Uganda since 2013 with plans to expand its use across the country for tracking animal diseases, as well as additional pilot projects planned in other countries (38). Regardless of the platform, mobile apps have been well received when applied in animal health to remote data collection and have been shown to improve the timeliness of this collection as compared with paper-based questionnaires (2,8,27,32,39). While the current process for mobile app development is device-specific (i.e.…”
Section: Mobile Applications On Smartphonesmentioning
confidence: 99%
See 1 more Smart Citation
“…EMA has been successfully piloted in Uganda since 2013 with plans to expand its use across the country for tracking animal diseases, as well as additional pilot projects planned in other countries (38). Regardless of the platform, mobile apps have been well received when applied in animal health to remote data collection and have been shown to improve the timeliness of this collection as compared with paper-based questionnaires (2,8,27,32,39). While the current process for mobile app development is device-specific (i.e.…”
Section: Mobile Applications On Smartphonesmentioning
confidence: 99%
“…Additional capabilities continue to be developed that enhance the quality of data collection via mobile apps. For example, Jandee et al(32) developed a customised language voice survey within a mobile app. This development allows for questions to be read aloud in the local dialect, and demonstrates the enhanced quality of the data collected.Both online software platforms and custom-developed mobile apps are being used increasingly in animal health for near real-time data collection.…”
mentioning
confidence: 99%
“…Additional benefits of mobile-based forms include the ability to customize voice-based questionnaires programmed into a smartphone or tablet computer which allows questions to be administered in local languages or dialects (Jandee et al, 2014) while programming the questionnaire to ask questions in sequence significantly reduces the risk of missing data. Similarly, the use of drop-down menus reduces the risk of data entry error (Jandee et al, 2014). Moreover, time spent completing smartphone-based questionnaire surveys is significantly less than when completing paper-based surveys (King et al, 2013;Anokwa et al, 2009;Jandee et al, 2014).…”
Section: Mhealthmentioning
confidence: 99%
“…Similarly, the use of drop-down menus reduces the risk of data entry error (Jandee et al, 2014). Moreover, time spent completing smartphone-based questionnaire surveys is significantly less than when completing paper-based surveys (King et al, 2013;Anokwa et al, 2009;Jandee et al, 2014). However, as availability of open-source mobile software and tools increases -all differing with respect to accessibility, visualization and cost -choosing the most appropriate data-collection tool will depend largely on the type of data being collected (Madder et al, 2012).…”
Section: Mhealthmentioning
confidence: 99%
“…Our sample size also limited the power of the study to detect associations between mobile usage and vaccination attitudes although it is consistent with other studies conducted to evaluate the feasibility, acceptability or efficacy of smartphone mediated interventions for health. [19][20][21][22][23][24][25][26][27][28][29] However, our ability to detect associations was more limited by Figure 1. The distribution of participant mobile readiness scores (n D 54) calculated using the mean response to survey questions examining baseline mobile usage behavior outlined in Table 3.…”
Section: Individuals Seeking Informationmentioning
confidence: 99%