The feasibility of using remote data collection tools in field surveys

Authors

  • Sherin Susan Paul N. Department of Community Medicine, Pushpagiri Institute of Medical Sciences and Research Centre, Thiruvalla, Kerala, India
  • Philip Mathew Department of Community Medicine, Pushpagiri Institute of Medical Sciences and Research Centre, Thiruvalla, Kerala, India
  • Felix Johns Department of Community Medicine, Pushpagiri Institute of Medical Sciences and Research Centre, Thiruvalla, Kerala, India
  • Jacob Abraham Department of Community Medicine, Pushpagiri Institute of Medical Sciences and Research Centre, Thiruvalla, Kerala, India

DOI:

https://doi.org/10.18203/2394-6040.ijcmph20175514

Keywords:

Data Collection, Internet, Medical records systems, Software, Mobile phones

Abstract

Background: The objectives of the study were to conduct a field survey to measure the prevalence of chronic diseases by taking history, to assess the feasibility of using remote data collection tools in field surveys and to create the map of the survey area using global positioning system (GPS).

Methods: A community survey was carried out in two urban municipal wards by trainees with medical sociology back ground among those aged 35 years and above. There were a total of 563 participants from whom history of chronic diseases were collected and from those aged 60 years and above the presence of frailty was assessed using Canadian Study of Health and Ageing (CSHA) Clinical Frailty Scale. The data was collected using a remote data collection application named KoBo Toolbox, downloaded in their smart phones, which was sent directly to the main computer in the Clinical Epidemiological Unit, using mobile data or Wi-Fi hotspots. The co-ordinates of the households were marked using GPS which was also sent through the KoBo Toolbox to the main computer. At the centre the data was converted into excel sheets and various percentages were calculated.

Results: In the survey the proportion affected with diabetes, hypertension, coronary artery disease and cerebrovascular accidents were 24%, 20.6%, 10.5% and 3.5% respectively. Among the older population 2.2% were found to be severely frail or worse requiring special care. The field map of the area surveyed was also generated using the co-ordinates marked using the GPS enabled phones.

Conclusions: The remote data collection tool enabled us to conduct a survey on chronic diseases, effectively, within a limited period of time, creating a map of the area surveyed. 

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Published

2017-12-23

How to Cite

Susan Paul N., S., Mathew, P., Johns, F., & Abraham, J. (2017). The feasibility of using remote data collection tools in field surveys. International Journal Of Community Medicine And Public Health, 5(1), 81–85. https://doi.org/10.18203/2394-6040.ijcmph20175514

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Original Research Articles