Advantages of using voiced questionnaire and image capture application for data collection from a minority group in rural areas along the Thailand–Myanmar border

Siriporn Monyarit, Wirichada Pan-ngum, Saranath Lawpoolsri, Surapon Yimsamran, Suporn Pongnumkul, Jaranit Kaewkungwal, Pratap Singhasivanon

Abstract


Aims To compare the quality of data collection via electronic data capture (EDC) with voiced questionnaire (QNN) and data image capture features using a tablet versus standard paper-based QNN, to assess the user’s perception of using the EDC tool, and to compare user satisfaction with the two methods.

Study design Randomised cross-over study.

Study sites This study was conducted in two villages along the Thailand– Myanmar border.

Methodology This study included 30 community health volunteers (CHVs) and 120 Karen hill tribe villagers. Employing a cross-over study design, the CHVs were allocated randomly to two groups, in which they performed interviews in different sequences using EDC and QNN.

Results Data discrepancies were found between the two data-collection methods, when data from the paper-based and image-capture methods were compared, and when conducting skip pattern questions. More than 90% of the CHVs perceived the EDC to be useful and easy to use. Both interviewers and interviewees were more satisfied with the EDC compared with QNN in terms of format, ease of use, and system speed.

Conclusion The EDC can effectively be used as an alternative method to paperbased QNNs for data collection. It produces more accurate data that can be considered evidence-based.


Keywords


data collection; ethnicity; mobile health; perception; questionnaires; satisfaction

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References


Bernabe-Ortiz A, Curioso WH, Gonzales MA, Evangelista W, Castagnetto JM, Carcamo CP et al. Handheld computers for self-administered sensitive data collection: a comparative study in Peru. BMC medical informatics and decision making 2008;8:11. Available from: http://dx.doi.org/10.1186/1472-6947-8-11. PMID: 18366687.

Horng S, Goss FR, Chen RS and Nathanson LA. Prospective pilot study of a tablet computer in an emergency department. International Journal of Medical Informatics 2012;81(5):314–9. Available from: http://dx.doi.org/10.1016/j.ijmedinf.2011.12.007. PMID: 22226927.

Abernethy AP, Herndon JE, Wheeler JL, Patwardhan M, Shaw H, Lyerly HK et al. Improving health care efficiency and quality using tablet personal computers to collect research-quality, patient-reported data. Health Services Research 2008;43(6):1975–91. Available from: http://dx.doi.org/10.1111/j.1475-6773.2008.00887.x. PMID: 18761678.

Wan X, Raymond HF, Wen T, Ding D, Wang Q, Shin SS et al. Acceptability and adoption of handheld computer data collection for public health research in China: a case study. BMC Medical Informatics and Decision Making 2013;13(1):68. Available from: http://dx.doi.org/10.1186/1472-6947-13-68. PMID: 23802988.

Hess R, Santucci A, McTigue K, Fischer G and Kapoor W. Patient difficulty using tablet computers to screen in primary care. Journal of General Internal Medicine 2008;23(4):476–80. Available from: http://dx.doi.org/10.1007/s11606-007-0500-1. PMID: 18373148.

Galliher JM, Stewart TV, Pathak PK, Werner JJ, Dickinson LM and Hickner JM. Data collection outcomes comparing paper forms with PDA forms in an office-based patient survey. Annals of Family Medicine 2008;6(2):154–60. Available from: http://dx.doi.org/10.1370/afm.762. PMID: 18332408.

Palmier-Claus JE, Rogers A, Ainsworth J, Machin M, Barrowclough C, Laverty L et al. Integrating mobile-phone based assessment for psychosis into people’s everyday lives and clinical care: a qualitative study. BMC Psychiatry 2013;13:34. Available from: http://dx.doi.org/10.1186/1471-244X-13-34. PMID: 23343329.

Shirima K, Mukasa O, Schellenberg JA, Manzi F, John D, Mushi A et al. The use of personal digital assistants for data entry at the point of collection in a large household survey in Southern Tanzania. Emerging Themes in Epidemiology 2007;4:5. Available from: http://dx.doi.org/10.1186/1742-7622-4-5. PMID:175430.

Tomlinson M, Solomon W, Singh Y, Doherty T, Chopra M, Ijumba P et al. The use of mobile phones as a data collection tool: a report from a household survey in South Africa. BMC Medical Informatics and Decision Making 2009;9:51. Available from: http://dx.doi.org/10.1186/1472-6947-9-51. PMID:20030813.

Thriemer K, Ley B, Ame SM, Puri MK, Hashim R, Chang NY et al. Replacing paper data collection forms with electronic data entry in the field: findings from a study of community-acquired bloodstream infections in Pemba, Zanzibar. BMC Research Notes 2012;5:113. Available from: http://dx.doi. org/10.1186/1756-0500-5-113. PMID: 22353420.

Thwin SS, Clough-Gorr KM, McCarty MC, Lash TL, Alford SH, Buist DS et al. Automated inter-rater reliability assessment and electronic data collection in a multi-center breast cancer study. BMC Medical Research Methodology 2007; 7:23. Available from: http://dx.doi.org/10.1186/1471-2288-7-23. PMID: 17577410.

Braa K and Purkayastha S. Sustainable mobile information infrastructures in low resource settings. Studies in Health Technology and Informatics 2010;157:127–32. PMID: 20543378.

Banks K and Burge R. Mobile Phones: An Appropriate Tool For Conservation And Development? Cambridge: Fauna & Flora International, 2004.

Kaewkungwal J, Singhasivanon P, Khamsiriwatchara A, Sawang S, Meankaew P and Wechsart A. Application of smart phone in “Better Border Healthcare Program”: a module for mother and child care. BMC Medical Informatics and Decision Making 2010;10:69. Available from: http://dx.doi.org/10.1186/1472-6947-10-69. PMID: 21047412.

Meankaew P, Kaewkungwal J, Khamsiriwatchara A, Khunthong P, Singhasivanon P and Satimai W. Application of mobile-technology for disease and treatment monitoring of malaria in the “Better Border Healthcare Programme”. Malaria Journal 2010;9:237. Available from: http://dx.doi.org/10.1186/1475-2875-9-237. PMID: 20723223.

Free C, Phillips G, Felix L, Galli L, Patel V and Edwards P. The effectiveness of M-health technologies for improving health and health services: a systematic review protocol. BMC Research Notes 2010;3:250. Available from: http://dx.doi.org/10.1186/1756-0500-3-250. PMID: 20925916.

Davis FD, Bagozzi RP and Warshaw PR. User acceptance of computer technology: a comparison of two theoretical models. Management Science 1989;35:982–1003.

Doll WJ and Torkzadeh G. The measurement of end-user computing satisfaction. MIS Quarterly 1988;12(2):259–74.

Ilias A, Yasoa MR, Razaka MZA and Rahmana RA. The study of end-user computing satisfaction (EUCS) on computerised accounting system (CAS) among Labuan F.T. Government sectors: a case study in the responsibility centres. Labuan e-Journal of Muamalat and Society 2007;1:1–13.

Chaiyachati KH, Loveday M, Lorenz S, Lesh N, Larkan LM, Cinti S et al. A pilot study of an mHealth application for health-care workers: poor uptake despite high reported acceptability at a rural South African community-based MDR-TB treatment program. PloS One 2013;8(5):e64662. Available from: http://dx.doi.org/10.1371/journal.pone.0064662. PMID: 23724075.




DOI: http://dx.doi.org/10.14236/jhi.v21i4.84

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